{"meta":{"query_hash":"18a85dd599eb","filters":{"venue":"Journal of Combinatorial Mathematics and Combinatorial Computing"},"cohort_total":1406,"direct_labels_cover":2,"predictions_cover":1406,"exported":1406,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/18a85dd599eb","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Combinatorial+Mathematics+and+Combinatorial+Computing"},"results":[{"id":"W13215918","doi":"","title":"Spanning Eulerian Subgraphs in claw-free graphs","year":2006,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Eulerian path; Claw; Combinatorics; Pure mathematics; Biology","score_opus":0.01387111740336125,"score_gpt":0.2660256259596989,"score_spread":0.2521545085563377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W13215918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91810566,0.0008120636,0.0660606,0.00037319527,0.011500879,0.00040642967,0.0000015765625,0.00010627528,0.0026333323],"genre_scores_gemma":[0.9660083,0.000028050494,0.033257578,0.000019831226,0.0006406337,0.0000024853398,6.328594e-7,0.000035447007,0.0000070292754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960278,0.00025475866,0.0015359437,0.00038951435,0.001098618,0.00069332065],"domain_scores_gemma":[0.9964556,0.0010172528,0.001050187,0.0007128036,0.0005390332,0.000225129],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032122198,0.00037019237,0.00088957744,0.00088236853,0.00029279268,0.0004822394,0.0020130945,0.00019200394,0.0000032396504],"category_scores_gemma":[0.0005749354,0.00034864823,0.00024904555,0.0014505071,0.00017493001,0.00078223064,0.00084289693,0.0008724016,0.0000020975576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050932922,0.00045828582,0.0014802198,0.000074724274,0.000029995304,0.000121695964,0.00047843702,0.00012443736,0.0007407584,0.99532485,0.00016817397,0.0009474765],"study_design_scores_gemma":[0.0048909565,0.00048114074,0.0010672638,0.0002873343,0.000015755959,0.00014728656,0.00012515795,0.0063168495,0.00071569055,0.98529124,0.0003131654,0.00034813018],"about_ca_topic_score_codex":0.000033777353,"about_ca_topic_score_gemma":0.0000031334773,"teacher_disagreement_score":0.047902662,"about_ca_system_score_codex":0.000110105866,"about_ca_system_score_gemma":0.00016213515,"threshold_uncertainty_score":0.9998965},"labels":[],"label_agreement":null},{"id":"W183082810","doi":"","title":"On integer-magic spectra of caterpillars","year":2007,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"MAGIC (telescope); Combinatorics; Mathematics; Graph; Vertex (graph theory); Integer (computer science); Physics; Astrophysics; Computer science","score_opus":0.011539199979142175,"score_gpt":0.24639006519748652,"score_spread":0.23485086521834433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W183082810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86627644,0.00035222125,0.11434828,0.0001807593,0.016671443,0.00018030389,5.9054236e-7,0.00005378717,0.0019361551],"genre_scores_gemma":[0.9796626,0.000018633196,0.02007106,0.000043108805,0.00018110385,1.7090049e-7,2.296202e-7,0.000018747882,0.000004377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99701935,0.00007331982,0.001431234,0.00023738766,0.00086233276,0.00037634827],"domain_scores_gemma":[0.9962498,0.0010606343,0.0013793265,0.0003945897,0.00068482844,0.00023080476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034987985,0.00026339944,0.00071427476,0.00043279526,0.00014507503,0.00014747668,0.0007872046,0.00014311724,0.0000027997987],"category_scores_gemma":[0.0004813596,0.00021774617,0.00020633281,0.0005466582,0.00010991683,0.00020871684,0.00025198585,0.00047984772,0.0000034190791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054074462,0.00049082283,0.00007665222,0.00007830579,0.000054707933,0.000038123566,0.0008687724,0.000058519585,0.001794106,0.9946865,0.00016495438,0.0016344826],"study_design_scores_gemma":[0.0025108755,0.0014647376,0.00007740293,0.00040645362,0.00003241317,0.0001299073,0.00011555955,0.004008456,0.008629485,0.98228395,0.00011050793,0.00023024817],"about_ca_topic_score_codex":0.0000074386912,"about_ca_topic_score_gemma":2.015429e-7,"teacher_disagreement_score":0.1133861,"about_ca_system_score_codex":0.000054510023,"about_ca_system_score_gemma":0.000111705485,"threshold_uncertainty_score":0.88794315},"labels":[],"label_agreement":null},{"id":"W2176631256","doi":"","title":"Gamma-Set Domination Graphs. I: Complete Biorientations of q- Extended Stars and Wounded Spider Graphs","year":2004,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Mathematics; Graph; Discrete mathematics; Digraph","score_opus":0.025642448316697965,"score_gpt":0.2990597536592489,"score_spread":0.27341730534255093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176631256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87150717,0.00033849353,0.12219415,0.00025181848,0.0050160033,0.00044354072,0.0000061957994,0.000045767032,0.00019686676],"genre_scores_gemma":[0.9519046,0.00008407602,0.047812477,0.000018281971,0.00014909687,0.0000029888545,0.0000017159617,0.000025251264,0.0000015170416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965846,0.0001946111,0.0013809172,0.00034891456,0.0010567508,0.00043420115],"domain_scores_gemma":[0.99588037,0.0009030959,0.00143072,0.00042808644,0.0010722561,0.000285449],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002141013,0.0003253395,0.00082669046,0.00068447075,0.00038904833,0.00028129155,0.00081297127,0.00015143452,0.0000024938959],"category_scores_gemma":[0.00054378324,0.00030107299,0.00020880715,0.0010314592,0.00036583692,0.000758103,0.00043501638,0.00053748064,9.094542e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076648575,0.0004938032,0.000102829035,0.00013714968,0.000098280594,0.000021528813,0.0020946127,0.000059798418,0.004069774,0.9913596,0.000015440115,0.0014705402],"study_design_scores_gemma":[0.0063987123,0.0012296728,0.0005752444,0.0002621059,0.000052789583,0.000140053,0.0004713082,0.0017189395,0.0027465327,0.98606193,0.000060479702,0.00028222176],"about_ca_topic_score_codex":0.000013992931,"about_ca_topic_score_gemma":9.978137e-7,"teacher_disagreement_score":0.080397435,"about_ca_system_score_codex":0.00009391691,"about_ca_system_score_gemma":0.00020027178,"threshold_uncertainty_score":0.99994415},"labels":[],"label_agreement":null},{"id":"W2283418076","doi":"","title":"Vertex magic total labeling of unions of generalized Petersen graphs and unions of special circulant graphs","year":2009,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Circulant matrix; Mathematics; Combinatorics; MAGIC (telescope); Vertex (graph theory); Circulant graph; Discrete mathematics; Graph; Line graph; Physics","score_opus":0.012969957709401344,"score_gpt":0.23636737829894897,"score_spread":0.22339742058954762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2283418076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899424,0.0005712664,0.0025089362,0.00015031353,0.0063249916,0.00019463991,0.0000045499414,0.000024291612,0.00027864956],"genre_scores_gemma":[0.9795536,0.000114833645,0.020190515,0.000017086635,0.00010636054,2.8929566e-7,0.0000010976055,0.000014202541,0.0000020289717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99675906,0.0001671574,0.0017310776,0.00025599753,0.00077412167,0.0003126154],"domain_scores_gemma":[0.9961909,0.0004844183,0.0018500598,0.00038249462,0.0008809209,0.00021120765],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015438409,0.00028662634,0.0011130761,0.00052829814,0.00016560178,0.00008365559,0.0005533357,0.00015118315,0.000002579129],"category_scores_gemma":[0.0002588105,0.00025451282,0.0002892935,0.0007571216,0.00019909225,0.00023497184,0.00024422235,0.00034141,1.9895934e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045712804,0.0005855615,0.00015076986,0.00014124856,0.00010910795,0.00001054405,0.0013134414,0.00011492834,0.018703893,0.9777326,0.00006819524,0.0010240229],"study_design_scores_gemma":[0.004563845,0.0013016078,0.00042768737,0.00063228345,0.00012694807,0.00014193593,0.00017114652,0.0080512725,0.003834712,0.98048735,0.000015106423,0.00024613287],"about_ca_topic_score_codex":0.000022620497,"about_ca_topic_score_gemma":3.006064e-7,"teacher_disagreement_score":0.017681578,"about_ca_system_score_codex":0.000020718917,"about_ca_system_score_gemma":0.00015479568,"threshold_uncertainty_score":0.9999907},"labels":[],"label_agreement":null},{"id":"W2305149859","doi":"","title":"Constructing ɣ-Sets [Gamma-Sets] of Grids","year":2015,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Image Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics","score_opus":0.026720149099788537,"score_gpt":0.28353178095884424,"score_spread":0.2568116318590557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305149859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5919047,0.00085810554,0.36868936,0.00043788986,0.025415646,0.0004318719,0.000003970762,0.00031264845,0.011945796],"genre_scores_gemma":[0.81280714,0.000007099049,0.18681723,0.000016185943,0.00032558083,7.932191e-7,4.6575488e-7,0.0000226768,0.0000028181844],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967125,0.00011045753,0.0015179506,0.0002597739,0.0010362569,0.00036306004],"domain_scores_gemma":[0.99505347,0.00057766977,0.0020330653,0.00041618323,0.0015921151,0.00032749228],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002640284,0.00030470247,0.000915798,0.00030963047,0.000117218886,0.0005471861,0.001300458,0.00015641944,9.3976035e-7],"category_scores_gemma":[0.0015136318,0.00027619922,0.00017271376,0.0005582694,0.00019761237,0.0010679556,0.0008018189,0.00044861392,0.0000014743791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031248605,0.00037432488,0.0003451587,0.00018459799,0.000065286324,0.000041411968,0.0012815166,0.0000061531828,0.00024263575,0.97423136,0.0005020844,0.022694193],"study_design_scores_gemma":[0.0026982327,0.0009122233,0.00001733981,0.00055572204,0.000043250275,0.000488274,0.0004196469,0.011563373,0.007860003,0.9748676,0.00025516024,0.00031919027],"about_ca_topic_score_codex":0.000006879997,"about_ca_topic_score_gemma":1.251644e-7,"teacher_disagreement_score":0.22090244,"about_ca_system_score_codex":0.00012268728,"about_ca_system_score_gemma":0.00043101615,"threshold_uncertainty_score":0.999969},"labels":[],"label_agreement":null},{"id":"W230946936","doi":"","title":"Ramsey Set Numbers in Balanced Complete Multipartite Graphs","year":2011,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Limits and Structures in Graph Theory","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multipartite; Mathematics; Combinatorics; Set (abstract data type); Discrete mathematics; Computer science","score_opus":0.04267547196392783,"score_gpt":0.28352834531755744,"score_spread":0.2408528733536296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W230946936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98473936,0.00013597854,0.0009180358,0.000024185727,0.010822239,0.00033879158,0.000004708517,0.00004688676,0.0029698054],"genre_scores_gemma":[0.9819044,0.000033386645,0.017487895,0.000031574586,0.0004794292,0.0000025269924,9.107506e-7,0.000054814678,0.0000050935673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99654603,0.00024327637,0.0017359536,0.00027879453,0.0006705337,0.0005254189],"domain_scores_gemma":[0.9963496,0.00121199,0.0014192092,0.00038547762,0.00038676593,0.00024697933],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024245472,0.00041422862,0.0011771474,0.0003665028,0.00030452342,0.000092938,0.0006181937,0.00024836845,0.000029951176],"category_scores_gemma":[0.0009275683,0.00035148763,0.00029253773,0.0004491621,0.00020556297,0.00024603645,0.00032664818,0.00078387564,0.0000016767018],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021819415,0.00046508442,0.0024477402,0.00021166081,0.000129581,0.000066619585,0.009547465,0.0000030753645,0.00019774876,0.9861648,0.00018762716,0.00036041718],"study_design_scores_gemma":[0.0053875796,0.00045470984,0.0008380245,0.0004190067,0.000094031355,0.00013457837,0.0008560448,0.00085753115,0.0003681753,0.99000746,0.00019763992,0.00038519723],"about_ca_topic_score_codex":0.000025691885,"about_ca_topic_score_gemma":0.000002495651,"teacher_disagreement_score":0.016569858,"about_ca_system_score_codex":0.0000742996,"about_ca_system_score_gemma":0.00007030127,"threshold_uncertainty_score":0.9998937},"labels":[],"label_agreement":null},{"id":"W2336256035","doi":"","title":"Variations of Distance-Based Invariants of Trees","year":2014,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Pure mathematics","score_opus":0.013732561208242114,"score_gpt":0.2380394499397507,"score_spread":0.22430688873150859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336256035","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04506146,0.00006300538,0.94660246,0.00014951281,0.006959168,0.00014973723,0.000003507338,0.000022445673,0.0009887211],"genre_scores_gemma":[0.93459004,0.000007467695,0.065011695,0.000012893476,0.0003609545,6.201531e-7,0.0000012348321,0.000011846491,0.000003250642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975574,0.0001291013,0.0012276261,0.00017840548,0.00069520285,0.0002122359],"domain_scores_gemma":[0.99624145,0.00083562604,0.0018406872,0.000427466,0.00054495485,0.00010980669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020026125,0.0001917025,0.0007116775,0.0002600487,0.00011519226,0.00014547414,0.0010364592,0.00007963875,0.0000029306811],"category_scores_gemma":[0.00056992273,0.00016854443,0.00015555303,0.00048459764,0.000085589076,0.00043060034,0.00032072843,0.00019348478,6.266626e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019360046,0.0004936812,0.00028598853,0.00016292871,0.00006242896,0.0000025316883,0.00031863566,0.0000789967,0.00031846217,0.99357224,0.000112648595,0.0045720767],"study_design_scores_gemma":[0.004491378,0.00097232655,0.00064462476,0.00045026204,0.00009025275,0.000008197956,0.00005672548,0.20224199,0.0023657412,0.78755003,0.0008889267,0.00023955447],"about_ca_topic_score_codex":0.0000071651198,"about_ca_topic_score_gemma":4.5690126e-7,"teacher_disagreement_score":0.8895286,"about_ca_system_score_codex":0.00002572862,"about_ca_system_score_gemma":0.000111796304,"threshold_uncertainty_score":0.68730426},"labels":[],"label_agreement":null},{"id":"W2557672902","doi":"","title":"On proper-path colorings in graphs","year":2016,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Path (computing); Combinatorics; Discrete mathematics; Computer science; Computer network","score_opus":0.017883129417424988,"score_gpt":0.27404983667660204,"score_spread":0.25616670725917706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557672902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94740057,0.00012663465,0.042700246,0.000565924,0.007416657,0.00036699043,8.656712e-7,0.00005997721,0.0013621522],"genre_scores_gemma":[0.99162006,0.00004183808,0.008040159,0.000028427408,0.00022778372,0.0000033859276,6.454994e-8,0.000025322945,0.00001296088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969828,0.00020527818,0.0010168095,0.00033416692,0.00094924914,0.0005116914],"domain_scores_gemma":[0.9963965,0.00176619,0.00072073523,0.00043508617,0.00044032093,0.00024116698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026533948,0.00028368694,0.00066575775,0.0005456261,0.00017278975,0.00020128803,0.001199055,0.0001310797,0.000003979495],"category_scores_gemma":[0.0010849016,0.00018784002,0.00015285084,0.00072387466,0.00013638417,0.00058129587,0.00046327978,0.00049425475,0.0000067906813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011101534,0.00043994287,0.00028722544,0.000044796154,0.000025896521,0.000075343734,0.000398381,0.000010187328,0.0014171781,0.99264735,0.000055673212,0.004486983],"study_design_scores_gemma":[0.00485668,0.0015198261,0.00019737323,0.0006989187,0.0000076054475,0.00007767653,0.000045500008,0.0010462314,0.0015799594,0.9894699,0.0002460714,0.0002542669],"about_ca_topic_score_codex":0.0000024831347,"about_ca_topic_score_gemma":2.0555889e-7,"teacher_disagreement_score":0.044219505,"about_ca_system_score_codex":0.00014832782,"about_ca_system_score_gemma":0.00015631033,"threshold_uncertainty_score":0.7659894},"labels":[],"label_agreement":null},{"id":"W2559261669","doi":"","title":"Rainbow K-Connection in Dense Graphs","year":2015,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Limits and Structures in Graph Theory","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Mathematics; Rainbow; Multipartite; Bipartite graph; Vertex (graph theory); Edge coloring; Discrete mathematics; Graph; Connection (principal bundle); Graph power; Line graph; Physics","score_opus":0.029713542900335146,"score_gpt":0.2851789709057531,"score_spread":0.255465428005418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559261669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98074955,0.00026839852,0.00092692,0.00007838645,0.016173251,0.00024008894,8.5331567e-7,0.000037526526,0.0015250513],"genre_scores_gemma":[0.99113065,0.00002080218,0.007816157,0.00002361964,0.0009585202,0.0000014844987,4.27588e-7,0.000041382464,0.0000069776024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970786,0.0002415347,0.0013595971,0.00021052797,0.00074385543,0.00036588503],"domain_scores_gemma":[0.99647653,0.0012946491,0.0010776626,0.00027545146,0.0005948032,0.00028093124],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003977028,0.0003088494,0.00089371036,0.00043742658,0.00021270673,0.00012716562,0.0003779189,0.00022812808,0.000005189138],"category_scores_gemma":[0.002675031,0.00025930844,0.00020600295,0.00046070095,0.00011824077,0.00023646338,0.0002448619,0.0006365541,8.4447345e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016856089,0.00036085554,0.00071286503,0.000113776725,0.00007133958,0.0000540004,0.0039379965,0.000015267455,0.00006868291,0.9933388,0.0004703515,0.000687489],"study_design_scores_gemma":[0.0057247053,0.0005932769,0.00011045409,0.00026675017,0.00007450145,0.0002712754,0.0013267337,0.0008462708,0.00026275523,0.9899291,0.0003170942,0.0002771112],"about_ca_topic_score_codex":0.000009674048,"about_ca_topic_score_gemma":0.0000010772114,"teacher_disagreement_score":0.015214731,"about_ca_system_score_codex":0.00012502432,"about_ca_system_score_gemma":0.00013419469,"threshold_uncertainty_score":0.99998593},"labels":[],"label_agreement":null},{"id":"W2609313589","doi":"","title":"Conditional expectation algorithms for covering arrays","year":2014,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Algorithm","score_opus":0.017256465950654852,"score_gpt":0.2662495331624527,"score_spread":0.24899306721179784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609313589","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03521422,0.00007784375,0.9532817,0.00014309905,0.010770714,0.00021497102,0.000003148404,0.00004990699,0.00024437302],"genre_scores_gemma":[0.768629,0.000009964267,0.22912434,0.000038950908,0.0021635944,0.000004230285,0.000005699175,0.000020813433,0.0000033930253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977832,0.00008403022,0.00091692834,0.00026806016,0.0006411102,0.00030669096],"domain_scores_gemma":[0.996676,0.0011641824,0.0010238102,0.0002918366,0.00065270613,0.00019141824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015598561,0.00024247238,0.000569817,0.00017905796,0.0003859494,0.00040398154,0.00070827216,0.000121436926,0.0000023906796],"category_scores_gemma":[0.0005500142,0.00021629508,0.00017167252,0.0002086322,0.000051873645,0.00064395164,0.0002831455,0.00026115825,0.0000016595156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027022843,0.00022782652,0.000021272901,0.0000876678,0.000045182627,0.000003522362,0.00070770935,0.00018539299,0.00065108895,0.9897628,0.0004658318,0.007814684],"study_design_scores_gemma":[0.0034918757,0.00072902447,0.000070953516,0.00015765958,0.000028773706,0.000079357225,0.000100211,0.29968,0.0011407329,0.6913482,0.0029274602,0.00024576543],"about_ca_topic_score_codex":0.0000026323673,"about_ca_topic_score_gemma":4.7353364e-8,"teacher_disagreement_score":0.73341477,"about_ca_system_score_codex":0.000060717768,"about_ca_system_score_gemma":0.000099356526,"threshold_uncertainty_score":0.8820258},"labels":[],"label_agreement":null},{"id":"W2611371158","doi":"","title":"Classification of resolvablr 2-(14,7,12) and 3-(14,7,5) designs","year":2003,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equidistant; Mathematics; Point (geometry); Class (philosophy); Automorphism group; Arithmetic; Automorphism; Binary number; Versa; Combinatorics; Computer science; Artificial intelligence; Database","score_opus":0.02145770361720544,"score_gpt":0.23173843100107105,"score_spread":0.2102807273838656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611371158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769639,0.001027045,0.005667817,0.000013057856,0.010718275,0.00023195444,0.0000017465147,0.00004729947,0.005328931],"genre_scores_gemma":[0.99765545,0.00007324381,0.0019047377,0.0000030292865,0.00031781074,0.0000014979363,4.709443e-7,0.000037059104,0.000006717807],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99791586,0.00016236119,0.0011167742,0.00013931554,0.00041255413,0.0002531155],"domain_scores_gemma":[0.9981479,0.0005526467,0.00061222666,0.00020909481,0.00031417585,0.00016393363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001999698,0.00024707575,0.0006902659,0.00020173052,0.00013946666,0.0000939689,0.00019931726,0.00018377985,0.000006197326],"category_scores_gemma":[0.00038771756,0.00022909745,0.00012233242,0.00022762212,0.000098163924,0.000168863,0.000037249854,0.00035780878,8.6750543e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038032358,0.00016754211,0.00038327862,0.00046090691,0.00012358035,0.0000067432666,0.0011867735,0.000109533765,0.0071735047,0.9896136,0.00019880278,0.00053771806],"study_design_scores_gemma":[0.0050711515,0.00084149983,0.0005758623,0.00075150875,0.00018964363,0.00026420533,0.0011191778,0.007756944,0.008071926,0.9728257,0.0020330085,0.00049937656],"about_ca_topic_score_codex":0.0000012154595,"about_ca_topic_score_gemma":1.9297043e-7,"teacher_disagreement_score":0.020691559,"about_ca_system_score_codex":0.000040260406,"about_ca_system_score_gemma":0.00004601637,"threshold_uncertainty_score":0.9342323},"labels":[],"label_agreement":null},{"id":"W2725463291","doi":"","title":"On partitions of {1,..., 2m + 1, l} into differences d,..., d + m: Stretched langford sequences","year":2010,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Mathematical Identities","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics; Pure mathematics","score_opus":0.02859802547730626,"score_gpt":0.30827046306514155,"score_spread":0.2796724375878353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2725463291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98827356,0.00005062336,0.0026191608,0.000141135,0.006981005,0.00024731903,0.000004302264,0.000046731744,0.0016361388],"genre_scores_gemma":[0.9704362,0.000018135084,0.028806843,0.000008410587,0.00066743785,0.0000035548037,7.2460216e-7,0.000037920177,0.0000207819],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99693966,0.00009486681,0.0015585646,0.00021230217,0.00086566544,0.0003289139],"domain_scores_gemma":[0.9932193,0.0038064604,0.0017318118,0.00036238768,0.00066606613,0.00021394643],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013916763,0.00033719995,0.0011056844,0.0002480235,0.00023260116,0.00013461446,0.000537365,0.00021257788,0.00004636629],"category_scores_gemma":[0.004119658,0.00026877495,0.00024235448,0.00027430084,0.00034146057,0.00026057256,0.00018655641,0.00078696705,0.000003098422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047380167,0.0007490301,0.0001870923,0.00045331306,0.00010230629,0.000011664288,0.0017993059,0.000003852066,0.002773468,0.99343956,0.00018526398,0.0002477739],"study_design_scores_gemma":[0.0016590469,0.0007393261,0.00005744015,0.00054585066,0.00012874075,0.000047358815,0.0009129661,0.00047683806,0.004457011,0.99067914,0.00003909378,0.00025720094],"about_ca_topic_score_codex":0.000010262583,"about_ca_topic_score_gemma":0.000004527861,"teacher_disagreement_score":0.02618768,"about_ca_system_score_codex":0.000041995703,"about_ca_system_score_gemma":0.00013294916,"threshold_uncertainty_score":0.99997646},"labels":[],"label_agreement":null},{"id":"W2733860488","doi":"","title":"Expected time to detection of interaction faults","year":2013,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Econometrics; Statistics","score_opus":0.012411871599337737,"score_gpt":0.2533188563413243,"score_spread":0.24090698474198655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2733860488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7303887,0.000053312502,0.26168364,0.00016653717,0.006339225,0.0003483408,3.3345137e-7,0.0005925913,0.000427333],"genre_scores_gemma":[0.9381013,0.0000019008107,0.061473276,0.00002024294,0.0003787521,0.0000030327344,1.7140573e-7,0.000015597214,0.0000057537763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807286,0.00009131117,0.0009323208,0.0001868971,0.0004969385,0.00021966686],"domain_scores_gemma":[0.99676645,0.00083334005,0.0009821292,0.00029652033,0.00095309387,0.00016848926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008477231,0.00019339207,0.00052051607,0.0003274785,0.00012550528,0.00017956685,0.00057106063,0.00010642842,0.0000072500693],"category_scores_gemma":[0.0011444127,0.00017288313,0.00011565986,0.0004789551,0.000030835516,0.0004526368,0.00029917705,0.00027836426,0.000017104483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034623008,0.004524646,0.00080575474,0.0009829703,0.0006457519,0.00006782954,0.018515788,0.00032803445,0.20024121,0.44895512,0.013588163,0.31099853],"study_design_scores_gemma":[0.0020419979,0.0024132552,0.00046116172,0.00080066005,0.000042724114,0.00024310335,0.00008284039,0.06444595,0.029560925,0.8991741,0.0003019649,0.00043132526],"about_ca_topic_score_codex":0.000028775143,"about_ca_topic_score_gemma":6.4520506e-8,"teacher_disagreement_score":0.45021898,"about_ca_system_score_codex":0.00007021004,"about_ca_system_score_gemma":0.000057159665,"threshold_uncertainty_score":0.7049969},"labels":[],"label_agreement":null},{"id":"W2739099558","doi":"","title":"Classification of optimal binary self-orthogonal codes up to length 24","year":2006,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Binary number; Combinatorics; Discrete mathematics; Arithmetic","score_opus":0.015138935895520962,"score_gpt":0.24782273497306154,"score_spread":0.23268379907754058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739099558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90828747,0.00016791363,0.07949987,0.00019687046,0.010989665,0.00021188038,0.0000020400432,0.00007796436,0.0005663111],"genre_scores_gemma":[0.94732404,0.00001078179,0.05191188,0.000013667105,0.0007117256,0.0000018797557,9.859348e-7,0.000020231451,0.0000047897806],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970785,0.00016879817,0.0013203475,0.00028944697,0.000797994,0.00034495766],"domain_scores_gemma":[0.99677664,0.000712721,0.0012143303,0.00039623978,0.0007076468,0.00019242245],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020713282,0.00028914027,0.00071930577,0.00043053756,0.00026089267,0.00024657234,0.0009732342,0.00014221093,0.0000033536387],"category_scores_gemma":[0.00016471953,0.0002678482,0.00025779102,0.0007678415,0.00008089906,0.00037518004,0.00038755778,0.0003693285,0.0000020776376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008085361,0.00061058707,0.00032921793,0.00010317256,0.00007297672,0.000010914946,0.0011913407,0.00018636421,0.0036931627,0.99234873,0.00045885736,0.0009137945],"study_design_scores_gemma":[0.003788937,0.0022293048,0.0022423894,0.00042107163,0.00012391801,0.00014338508,0.00037329385,0.033196017,0.0037356445,0.95185673,0.001339476,0.0005498195],"about_ca_topic_score_codex":0.0000049904365,"about_ca_topic_score_gemma":2.2965878e-7,"teacher_disagreement_score":0.040492017,"about_ca_system_score_codex":0.000057727022,"about_ca_system_score_gemma":0.00016241524,"threshold_uncertainty_score":0.99997735},"labels":[],"label_agreement":null},{"id":"W2782669095","doi":"","title":"Edge domination in grids","year":2015,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Enhanced Data Rates for GSM Evolution; Computer science; Artificial intelligence","score_opus":0.02811728436622272,"score_gpt":0.3019724679526868,"score_spread":0.27385518358646405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782669095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76928526,0.00061972195,0.20579152,0.00048435945,0.020530334,0.00040710892,6.204346e-7,0.00007045512,0.0028106135],"genre_scores_gemma":[0.97241175,0.00001757786,0.026872074,0.000017579601,0.00065320096,0.0000016933498,2.9537765e-7,0.000018548006,0.0000072499083],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971793,0.00023057731,0.0010108695,0.00023740865,0.0009553204,0.00038650207],"domain_scores_gemma":[0.9970862,0.0007404007,0.00070234324,0.00033763333,0.00081936235,0.00031402227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004427517,0.00022168226,0.0005977245,0.0005065928,0.00011171112,0.00028325184,0.0010249657,0.00012895127,0.0000013289765],"category_scores_gemma":[0.0012683095,0.00020076089,0.00010586359,0.0008359572,0.000089115005,0.00077792007,0.00051247975,0.00057065254,0.0000038647017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056700468,0.0003546419,0.00030234404,0.000042408323,0.000018917222,0.00005783342,0.0018789929,0.000085510146,0.00018546643,0.99301165,0.00013621022,0.0038693433],"study_design_scores_gemma":[0.0051620603,0.0006877783,0.00014320073,0.0001644886,0.000009450057,0.00013437748,0.00029764549,0.019214429,0.0006112875,0.97283375,0.0005244806,0.00021702533],"about_ca_topic_score_codex":0.000004900548,"about_ca_topic_score_gemma":3.8256118e-7,"teacher_disagreement_score":0.2031265,"about_ca_system_score_codex":0.00018199137,"about_ca_system_score_gemma":0.00027600845,"threshold_uncertainty_score":0.81867915},"labels":[],"label_agreement":null},{"id":"W2784637848","doi":"","title":"Monochromatic Connectivity in Monochromatic-Star-Free Graphs","year":2016,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Monochromatic color; Mathematics; Star (game theory); Combinatorics; Physics; Mathematical analysis; Optics","score_opus":0.017513092888051526,"score_gpt":0.27416907273808583,"score_spread":0.2566559798500343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784637848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87097925,0.0002629801,0.12196522,0.00054391613,0.005404424,0.00037811775,0.0000018530823,0.00007323643,0.00039098525],"genre_scores_gemma":[0.9647957,0.000051203057,0.034809705,0.000018917299,0.00028030042,0.0000047993967,1.3062258e-7,0.00003395417,0.0000052754626],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99591714,0.00040367764,0.0015328589,0.00041044515,0.0010695822,0.0006663046],"domain_scores_gemma":[0.99376696,0.0032757078,0.0011641287,0.000930147,0.00053717074,0.00032587553],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037877578,0.0003929374,0.0010577115,0.00067173195,0.00022821946,0.00028255652,0.0021081173,0.00018086086,0.000006968538],"category_scores_gemma":[0.0025362065,0.0002869516,0.00023238857,0.00094208,0.00020844031,0.0010815922,0.0010275522,0.00051796134,0.0000055650544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062355764,0.0005085401,0.00052250817,0.00013274458,0.00006752142,0.000088092034,0.0008938862,0.000009238435,0.0028908025,0.9898189,0.000071757924,0.0049337083],"study_design_scores_gemma":[0.0068400707,0.0007761672,0.0007688288,0.00075534923,0.000020331416,0.00015974822,0.00011805491,0.0070999395,0.001903763,0.9811457,0.000052329324,0.00035975297],"about_ca_topic_score_codex":0.00000795087,"about_ca_topic_score_gemma":0.0000014858456,"teacher_disagreement_score":0.09381645,"about_ca_system_score_codex":0.0002050848,"about_ca_system_score_gemma":0.00021843231,"threshold_uncertainty_score":0.9999583},"labels":[],"label_agreement":null},{"id":"W2788116683","doi":"","title":"Trees With Given Degree Sequence in S-Order","year":2016,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Degree (music); Sequence (biology); Order (exchange); Combinatorics; Chemistry; Business","score_opus":0.032819757193961276,"score_gpt":0.29169857787915165,"score_spread":0.25887882068519036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788116683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5982004,0.00023026486,0.39483792,0.0010718458,0.004325912,0.00035384047,0.0000014154847,0.000065161876,0.0009132884],"genre_scores_gemma":[0.9594528,0.00003873912,0.040147975,0.000015995556,0.00030699468,0.0000023706116,9.8500635e-8,0.000023847,0.0000111492045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99728507,0.00018707341,0.0008547124,0.00030952264,0.00087395747,0.00048965187],"domain_scores_gemma":[0.99648416,0.0012837906,0.0007158334,0.00043166097,0.00086312473,0.0002214043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019139724,0.00027395147,0.00064114307,0.00038759137,0.00015292074,0.00019864019,0.0011724657,0.000111229754,0.0000039221773],"category_scores_gemma":[0.0007542998,0.0001717896,0.000077976554,0.0010101342,0.0001913223,0.00079510204,0.0004128539,0.000404286,0.0000031942486],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111852205,0.0002872247,0.0011588946,0.00004304927,0.000043068165,0.00013893096,0.00068719534,0.00002635915,0.0019279106,0.97735703,0.00002783379,0.018190624],"study_design_scores_gemma":[0.0064886976,0.0013599873,0.00060043274,0.0008160954,0.000014664174,0.000282328,0.00010671737,0.0032248532,0.0013853526,0.9850978,0.00027785642,0.00034521273],"about_ca_topic_score_codex":0.0000053029007,"about_ca_topic_score_gemma":0.0000022826089,"teacher_disagreement_score":0.36125246,"about_ca_system_score_codex":0.00013225699,"about_ca_system_score_gemma":0.00027475628,"threshold_uncertainty_score":0.7005377},"labels":[],"label_agreement":null},{"id":"W2809450333","doi":"","title":"On the sharpness of a bound on the diameter of Cayley graphs generated by transposition trees","year":2013,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Transposition (logic); Cayley graph; Combinatorics; Discrete mathematics; Geometry; Graph","score_opus":0.01371831725176763,"score_gpt":0.2199312546156555,"score_spread":0.20621293736388785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809450333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965064,0.000109662455,0.025792457,0.0007337204,0.0075297225,0.00038539077,0.0000028422926,0.000013937264,0.00036828252],"genre_scores_gemma":[0.9992307,0.000012108768,0.00035243898,0.000088415574,0.00028960273,0.0000055358337,5.1340317e-7,0.000014870978,0.000005855431],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975255,0.00033119402,0.0010908056,0.00017019463,0.00066512654,0.00021719524],"domain_scores_gemma":[0.99561316,0.0020441853,0.0012545979,0.00036515252,0.0006467711,0.00007611574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001644492,0.00022157183,0.0005661562,0.00012572264,0.00025914033,0.00026694965,0.00079955603,0.000112507005,0.000013792039],"category_scores_gemma":[0.00018062662,0.00012305712,0.00023054432,0.00038526117,0.00010785618,0.00018929578,0.000061814935,0.00037205548,0.0000016152817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036509926,0.00040303383,0.000024765792,0.000045081455,0.000109991306,0.0000014596002,0.0014674773,0.000120538556,0.005626396,0.9897985,0.001962066,0.00040421233],"study_design_scores_gemma":[0.00224095,0.0022331795,0.000122008714,0.00084917515,0.000053766136,0.000033226224,0.00038733968,0.06017605,0.022457544,0.9111002,0.00009588222,0.00025067935],"about_ca_topic_score_codex":0.000039100363,"about_ca_topic_score_gemma":5.9565247e-7,"teacher_disagreement_score":0.07869827,"about_ca_system_score_codex":0.0000332772,"about_ca_system_score_gemma":0.000047885413,"threshold_uncertainty_score":0.5018124},"labels":[],"label_agreement":null},{"id":"W282701158","doi":"","title":"The Actions of Fractional Automorphisms","year":2004,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Automorphism; Adjacency matrix; Combinatorics; Vertex (graph theory); Permutation matrix; Isomorphism (crystallography); Discrete mathematics; Graph; Circulant matrix","score_opus":0.028997217715828597,"score_gpt":0.29983496546442134,"score_spread":0.27083774774859276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W282701158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96629363,0.00022100967,0.021582928,0.000706397,0.0083415285,0.0003709448,0.0000047349936,0.000047731977,0.0024310744],"genre_scores_gemma":[0.9905617,0.000039319573,0.008707098,0.000008726281,0.0006479858,0.000003151374,4.4305858e-7,0.000023498378,0.0000080620985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99787533,0.000078027864,0.0011341537,0.000120922545,0.00056732853,0.00022421162],"domain_scores_gemma":[0.995133,0.00234974,0.0015124488,0.0002737742,0.0006096328,0.0001214265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018100342,0.00018950197,0.00048867724,0.00011649333,0.0006342984,0.00009567084,0.00039401607,0.0001163036,0.0000066218668],"category_scores_gemma":[0.0009459029,0.0001375142,0.00022916225,0.00031627933,0.0002252405,0.00014566671,0.000106689964,0.00045733352,0.0000016576486],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045343604,0.0005401985,0.000017167655,0.000049291968,0.00011333931,0.0000026177886,0.0004989145,0.000038291895,0.00080411055,0.9973504,0.00015683804,0.0003835045],"study_design_scores_gemma":[0.0021948316,0.0002955583,0.000055731038,0.00016562759,0.0001142774,0.00012264913,0.0004907629,0.00014135087,0.002135863,0.99308103,0.0010702182,0.00013212049],"about_ca_topic_score_codex":0.0000043991945,"about_ca_topic_score_gemma":5.2033766e-7,"teacher_disagreement_score":0.024268065,"about_ca_system_score_codex":0.00006546208,"about_ca_system_score_gemma":0.00017693636,"threshold_uncertainty_score":0.56076664},"labels":[],"label_agreement":null},{"id":"W2859178089","doi":"10.61091/jcmcc119-18","title":"On Minimal Edge Version of Doubly Resolving Sets of a Graph","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Graph; Edge contraction; Mathematics; Line graph; Complement graph; Voltage graph; Discrete mathematics","score_opus":0.013630908019285834,"score_gpt":0.2512582568390946,"score_spread":0.23762734881980874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2859178089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699616,0.0013255938,0.0090670455,0.0001715208,0.018472861,0.00017257617,0.0000027305334,0.00005947042,0.00076662586],"genre_scores_gemma":[0.98748606,0.000038075446,0.012327479,0.000011782861,0.000112847374,4.8211774e-7,4.5264707e-7,0.00001973886,0.0000030517197],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99713,0.000108920365,0.0013273095,0.00026495996,0.0009015805,0.00026724295],"domain_scores_gemma":[0.9967011,0.0012597905,0.0009414113,0.00034209143,0.0006006812,0.00015491417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021343092,0.00024401357,0.0007283174,0.0005631838,0.00013383378,0.000177292,0.0006686885,0.0001489666,0.0000031156696],"category_scores_gemma":[0.00035646465,0.00020266171,0.00028873657,0.00073910604,0.000112129135,0.00028249156,0.00032533627,0.0004308767,0.0000019456165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000798462,0.00039998,0.000023839522,0.00049427844,0.00010146698,0.000031213145,0.001419623,0.000103981045,0.0035669291,0.99145854,0.00067666033,0.0016436372],"study_design_scores_gemma":[0.0024371168,0.0019170984,0.000027912005,0.0023211304,0.0000719517,0.00007502467,0.00008911812,0.024818348,0.0069236634,0.9609571,0.00015020045,0.00021130044],"about_ca_topic_score_codex":0.000007473347,"about_ca_topic_score_gemma":6.280667e-8,"teacher_disagreement_score":0.03050141,"about_ca_system_score_codex":0.00003549066,"about_ca_system_score_gemma":0.00018540167,"threshold_uncertainty_score":0.8264305},"labels":[],"label_agreement":null},{"id":"W2884305241","doi":"","title":"Constructing distance magic graphs from regular graphs","year":2011,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; MAGIC (telescope); Combinatorics; Discrete mathematics; Astronomy","score_opus":0.017534542797908358,"score_gpt":0.22268329414831262,"score_spread":0.20514875135040425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884305241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8865504,0.0012703021,0.08130298,0.00014558659,0.02732035,0.00028008161,0.000004094477,0.00017573689,0.0029504402],"genre_scores_gemma":[0.8972168,0.00003702238,0.10254658,0.000036109494,0.00013141807,8.538639e-7,9.4056804e-7,0.000026813917,0.0000034517968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966788,0.00016287476,0.0014690043,0.00040910242,0.0008173358,0.0004628355],"domain_scores_gemma":[0.99622613,0.0005325935,0.0016363171,0.00057709805,0.0007019938,0.00032584323],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016192324,0.00037740337,0.0008592666,0.00032192297,0.00032680054,0.00034434142,0.0011507638,0.000184943,0.000008756039],"category_scores_gemma":[0.000296145,0.00033352314,0.0002818962,0.0006747922,0.0002215774,0.0005401637,0.00043844007,0.00058915577,0.0000042931715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031795284,0.000301023,0.00083497044,0.00004702689,0.000107006075,0.00005700389,0.0017403504,0.000002165709,0.00035078422,0.99398446,0.000116048825,0.0024273659],"study_design_scores_gemma":[0.002718506,0.00040974954,0.00009886568,0.00037575533,0.0000736218,0.00013239126,0.00041993306,0.004266565,0.0021402999,0.98889136,0.00010494177,0.0003680153],"about_ca_topic_score_codex":0.0000434314,"about_ca_topic_score_gemma":7.108347e-7,"teacher_disagreement_score":0.027188933,"about_ca_system_score_codex":0.000050924114,"about_ca_system_score_gemma":0.00011985302,"threshold_uncertainty_score":0.99991167},"labels":[],"label_agreement":null},{"id":"W2899448398","doi":"","title":"Ramsey functions for sequences with restricted gaps","year":2018,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Topology and Set Theory","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics","score_opus":0.026314873935270454,"score_gpt":0.30250396913992855,"score_spread":0.2761890952046581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899448398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8120601,0.00016703345,0.17162964,0.00024692746,0.01326054,0.00059785834,0.0000071043846,0.00009048906,0.0019403175],"genre_scores_gemma":[0.94678247,0.000011723976,0.05030917,0.00002672299,0.0027738682,0.00000517362,0.0000014705721,0.000044031884,0.000045395434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979614,0.00011414984,0.0009310605,0.00021816087,0.0004041861,0.00037104305],"domain_scores_gemma":[0.9947309,0.002511059,0.0011813624,0.00025137374,0.001155843,0.000169473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012568382,0.00028163518,0.00073976466,0.00018709102,0.00058912975,0.00009634286,0.00032333404,0.00019931504,0.000014016498],"category_scores_gemma":[0.0015737404,0.00021347491,0.00014201146,0.00031626533,0.00039656626,0.00021438184,0.000090405076,0.00039809168,0.000002133224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051850325,0.00035975984,0.000060285733,0.00014487952,0.00017467681,0.000011991821,0.0009386482,0.0000051188763,0.00032357147,0.9961243,0.0007587859,0.0005794733],"study_design_scores_gemma":[0.004491478,0.0030619428,0.000019380188,0.00029293422,0.0002127334,0.00022840465,0.00083265285,0.00062933384,0.0010299289,0.9872047,0.0017343843,0.00026213436],"about_ca_topic_score_codex":0.000002109455,"about_ca_topic_score_gemma":0.0000010655612,"teacher_disagreement_score":0.13472235,"about_ca_system_score_codex":0.00006266773,"about_ca_system_score_gemma":0.00018252937,"threshold_uncertainty_score":0.8705254},"labels":[],"label_agreement":null},{"id":"W2899909005","doi":"","title":"Bipartite graphs decomposable into closed trails","year":2010,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bipartite graph; Mathematics; Combinatorics; Complete bipartite graph; Discrete mathematics; Graph","score_opus":0.0068613893645562765,"score_gpt":0.2215488074583204,"score_spread":0.21468741809376413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899909005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628911,0.00024586858,0.0011462747,0.000028125365,0.033673078,0.00018540357,0.0000012809118,0.000111940826,0.0017169239],"genre_scores_gemma":[0.99528825,0.000025944484,0.003345013,0.0000088190645,0.001270315,0.0000021615615,9.129061e-7,0.00005508129,0.0000034883178],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977536,0.00007145148,0.0011600492,0.00016226471,0.0004712007,0.00038138867],"domain_scores_gemma":[0.99823743,0.00045130946,0.00045785654,0.00028010915,0.00028597622,0.0002873283],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016701516,0.00032800544,0.0007619987,0.00026996425,0.00024890268,0.00024199433,0.0004429822,0.00023887084,0.000017405477],"category_scores_gemma":[0.00017354883,0.0002989633,0.00024311309,0.00036583995,0.00010745865,0.00027230242,0.00007450021,0.0008734589,0.000006768654],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004247694,0.0002529971,0.00027414103,0.0003413057,0.00015436622,0.000025144924,0.0017832973,0.00014301752,0.03219246,0.96227974,0.00040401777,0.0021070126],"study_design_scores_gemma":[0.0031683843,0.00035072587,0.00012572626,0.00022666149,0.000092809045,0.000197356,0.00029468306,0.008496531,0.007038022,0.9763011,0.0032823246,0.0004256857],"about_ca_topic_score_codex":0.0000045014376,"about_ca_topic_score_gemma":0.0000014544489,"teacher_disagreement_score":0.032402765,"about_ca_system_score_codex":0.000029708794,"about_ca_system_score_gemma":0.00004989861,"threshold_uncertainty_score":0.99994624},"labels":[],"label_agreement":null},{"id":"W2916818086","doi":"10.61091/jcmcc119-31","title":"On the Crossing Numbers of Cartesian Products of Small Graphs with Paths, Cycles and Stars","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stars; Cartesian product; Combinatorics; Cartesian coordinate system; Indifference graph; Mathematics; 1-planar graph; Discrete mathematics; Graph; Chordal graph; Computer science; Geometry","score_opus":0.014043758658799652,"score_gpt":0.2388397086636574,"score_spread":0.22479595000485775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916818086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628227,0.00063611,0.032089528,0.00036122053,0.0037312745,0.00018901922,0.0000015354561,0.000019536463,0.00014912746],"genre_scores_gemma":[0.9860066,0.000019998512,0.013714496,0.000012452262,0.0002295292,8.181862e-7,4.362915e-7,0.000012945717,0.0000026936295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982758,0.00010475384,0.00070073927,0.00020471698,0.00054711144,0.00016688394],"domain_scores_gemma":[0.99740654,0.0011907555,0.00061096234,0.0002088646,0.00050610333,0.000076766584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014411183,0.0001833859,0.00041777093,0.00021731383,0.00021846981,0.0003943794,0.00033757335,0.00006108108,7.69636e-7],"category_scores_gemma":[0.00025663595,0.00012162941,0.00008018314,0.000613833,0.00016882835,0.00021350688,0.0001316005,0.00027193688,1.7573781e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037001562,0.00016374557,0.000058000733,0.0003253985,0.0000911528,0.000012763989,0.0027128214,0.0003316445,0.0012504945,0.9910613,0.00006234855,0.003893352],"study_design_scores_gemma":[0.0014221249,0.001546274,0.00036885857,0.0014122876,0.00008620519,0.0001658455,0.0003076637,0.041801915,0.008172321,0.9443286,0.00015130306,0.00023661555],"about_ca_topic_score_codex":0.00000832131,"about_ca_topic_score_gemma":5.0631616e-7,"teacher_disagreement_score":0.04673269,"about_ca_system_score_codex":0.000024291012,"about_ca_system_score_gemma":0.000266808,"threshold_uncertainty_score":0.49599037},"labels":[],"label_agreement":null},{"id":"W2929085978","doi":"","title":"On Ramsey numbers for sets free of prescribed differences","year":2011,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Topology and Set Theory","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Ramsey's theorem; Mathematical economics; Combinatorics","score_opus":0.045437718289543245,"score_gpt":0.2989713658254756,"score_spread":0.2535336475359324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2929085978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9643314,0.00009492404,0.022620676,0.0000408235,0.0097184535,0.0004726972,0.000010655862,0.00003498466,0.0026753873],"genre_scores_gemma":[0.9643107,0.000012334112,0.03522794,0.000014120933,0.00038069967,0.0000036919996,6.083779e-7,0.00003789907,0.000011982233],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976309,0.00014255167,0.0012680022,0.0001956463,0.00043937514,0.00032353355],"domain_scores_gemma":[0.9937272,0.0035564764,0.001690242,0.00036372838,0.000514349,0.0001479963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015950592,0.000297818,0.0010469526,0.0001660541,0.00019455783,0.00002845903,0.000604351,0.00023401836,0.000021143043],"category_scores_gemma":[0.0030645444,0.00024309882,0.00026512716,0.00013644238,0.00021534557,0.00013734524,0.00016907969,0.000400994,6.3346357e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006343175,0.00094811263,0.00009265432,0.00032814164,0.00018999654,0.000007798826,0.0034344946,0.0000017020348,0.000105334046,0.99339306,0.0004338846,0.00043052115],"study_design_scores_gemma":[0.005259809,0.001926015,0.000054079013,0.00040137494,0.00016924659,0.000036035162,0.00069079513,0.00036504286,0.0022422606,0.98858726,0.000037068035,0.00023101956],"about_ca_topic_score_codex":0.0000042382344,"about_ca_topic_score_gemma":4.691928e-7,"teacher_disagreement_score":0.012607264,"about_ca_system_score_codex":0.00003691908,"about_ca_system_score_gemma":0.00008260405,"threshold_uncertainty_score":0.99132824},"labels":[],"label_agreement":null},{"id":"W2943584187","doi":"","title":"Interlace polynomials of n-claw graphs","year":2014,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Claw; Combinatorics; Discrete mathematics; Arithmetic","score_opus":0.011758007589839716,"score_gpt":0.24012160899691737,"score_spread":0.22836360140707765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943584187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5526726,0.00029217644,0.39717084,0.00025759434,0.04541809,0.00026495176,7.4304745e-7,0.00006300892,0.0038599994],"genre_scores_gemma":[0.99025613,0.000013243563,0.008551701,0.000031683045,0.0011187899,7.8233563e-7,1.7682343e-7,0.000018249126,0.000009243775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997092,0.0002445164,0.0015640592,0.00021662365,0.00059106905,0.00029171476],"domain_scores_gemma":[0.9959694,0.0009549151,0.001811418,0.0003879628,0.0007013165,0.00017497665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030655519,0.0002447111,0.00092894584,0.0002681328,0.00016182904,0.0002494583,0.00092389615,0.00015361115,0.00000366062],"category_scores_gemma":[0.00043489752,0.00020736828,0.00027169363,0.00037291835,0.00008099229,0.0003443809,0.0003184478,0.00035578906,0.0000019298232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027142927,0.00020568466,0.00007335805,0.00010932399,0.00007271125,0.0000036964645,0.0010034073,0.000045257482,0.0007056554,0.99443084,0.00042476744,0.0028981485],"study_design_scores_gemma":[0.003772163,0.0017856249,0.000065498825,0.0006939794,0.000052782252,0.00023363884,0.00021998832,0.06081892,0.0028973848,0.92650086,0.0026011232,0.00035805893],"about_ca_topic_score_codex":0.000012973059,"about_ca_topic_score_gemma":3.6581957e-7,"teacher_disagreement_score":0.43758354,"about_ca_system_score_codex":0.000044623714,"about_ca_system_score_gemma":0.00007743872,"threshold_uncertainty_score":0.8456233},"labels":[],"label_agreement":null},{"id":"W2943721094","doi":"","title":"Total E¢ cient Dominating Sets in Cayley Graphs","year":2014,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Discrete mathematics; Cayley graph; Combinatorics; Graph","score_opus":0.013314213253175125,"score_gpt":0.27855471568546386,"score_spread":0.26524050243228875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943721094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90164226,0.00016942847,0.0871209,0.00018043535,0.009466934,0.00027280697,6.253839e-7,0.00004860775,0.0010980259],"genre_scores_gemma":[0.9697524,0.000012220359,0.029829083,0.000023206445,0.00035077214,0.0000022892643,3.6315407e-7,0.00002571153,0.000003956563],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99630725,0.00036259,0.0013052884,0.00036398132,0.001063268,0.00059764093],"domain_scores_gemma":[0.9960483,0.0016905385,0.0009712064,0.00046822394,0.0005328437,0.00028892272],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005111475,0.00031424625,0.0008156194,0.00061694015,0.00026921622,0.0003727304,0.0011514091,0.00014859824,0.0000031370591],"category_scores_gemma":[0.001390752,0.000286212,0.00019352784,0.0009618002,0.0001251516,0.00058664056,0.000706039,0.0007948887,0.0000029020746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003515531,0.00035455107,0.00042156078,0.000086042855,0.000026488633,0.000034567904,0.0014112999,0.00017833366,0.0006197744,0.98876107,0.000027474167,0.008043702],"study_design_scores_gemma":[0.0040372373,0.0007139799,0.00040971074,0.00031667695,0.000012574558,0.00019712785,0.00017061582,0.064599864,0.00073301577,0.9283836,0.00012117092,0.00030443128],"about_ca_topic_score_codex":0.000008689453,"about_ca_topic_score_gemma":6.4169564e-7,"teacher_disagreement_score":0.06811016,"about_ca_system_score_codex":0.00011546972,"about_ca_system_score_gemma":0.0001230032,"threshold_uncertainty_score":0.999959},"labels":[],"label_agreement":null},{"id":"W2959266175","doi":"","title":"Regular handicap graphs of odd order","year":2017,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Order (exchange); Combinatorics; Business","score_opus":0.015484899698017019,"score_gpt":0.25345894141383263,"score_spread":0.2379740417158156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959266175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9415652,0.000786805,0.031649943,0.00061656226,0.02358302,0.00026059468,0.0000012828226,0.00006115794,0.0014754478],"genre_scores_gemma":[0.963682,0.00005520276,0.036064457,0.000016565258,0.00015384569,6.617148e-7,2.406938e-7,0.00001912747,0.000007917011],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997213,0.00009122817,0.0012468614,0.0002597446,0.0008583142,0.00033085054],"domain_scores_gemma":[0.99463224,0.00034797506,0.0027398404,0.000895564,0.0011543233,0.00023002899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022901865,0.0002641276,0.0008426621,0.00026836552,0.0006816137,0.0005490013,0.0016709244,0.00016661157,0.0000029631105],"category_scores_gemma":[0.00095189776,0.00022207039,0.00022748102,0.00026421953,0.0002561138,0.00051400444,0.00068940246,0.00039451555,0.0000016356868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023800552,0.00035148772,0.00021188974,0.00011596311,0.000092283335,0.000021104664,0.000534859,0.000016468493,0.0014602107,0.99462664,0.0002321197,0.002313164],"study_design_scores_gemma":[0.003661963,0.0007962285,0.00016929129,0.00046496198,0.000059154157,0.00009103215,0.00005636778,0.006342252,0.0033651683,0.98448396,0.00026780873,0.00024179836],"about_ca_topic_score_codex":0.000017096561,"about_ca_topic_score_gemma":2.0552162e-7,"teacher_disagreement_score":0.023429172,"about_ca_system_score_codex":0.000021846596,"about_ca_system_score_gemma":0.00017061995,"threshold_uncertainty_score":0.90557677},"labels":[],"label_agreement":null},{"id":"W2971863873","doi":"","title":"Super (a, d)-vertex antimagic total labeling on a disjoint union of regular graphs","year":2009,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematics; Combinatorics; Disjoint sets; Vertex (graph theory); Discrete mathematics; Graph","score_opus":0.010294113318167765,"score_gpt":0.23194292895178276,"score_spread":0.221648815633615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971863873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97678435,0.00054183725,0.011164984,0.00062031933,0.010085961,0.00022216042,0.0000010552161,0.000070592025,0.0005087418],"genre_scores_gemma":[0.9775417,0.000043062024,0.022218626,0.000060645245,0.00011314259,3.631877e-7,6.474526e-7,0.000017594206,0.0000042336196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99676186,0.00017303565,0.0013892626,0.00031614324,0.0009766162,0.00038311115],"domain_scores_gemma":[0.9968967,0.0004995846,0.0011509272,0.00048504706,0.0007392984,0.00022843199],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022534844,0.00032891447,0.0008768683,0.00042067235,0.0002443025,0.0002237514,0.0006849327,0.0001584476,0.0000020466416],"category_scores_gemma":[0.00037909584,0.00027519866,0.00028655236,0.0006546604,0.000094000374,0.0003615487,0.0002015959,0.00049654994,0.0000018778262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041549578,0.0008199178,0.000043156095,0.00006547838,0.000054270324,0.000022435801,0.0007568869,0.00020879612,0.0067233774,0.9868908,0.00016544142,0.004207925],"study_design_scores_gemma":[0.0036349427,0.0023251935,0.00017848404,0.0007735612,0.000053591048,0.00013031544,0.00009269173,0.019196412,0.0051018978,0.96816874,0.000041011557,0.00030315213],"about_ca_topic_score_codex":0.000006016238,"about_ca_topic_score_gemma":4.0310955e-8,"teacher_disagreement_score":0.018987615,"about_ca_system_score_codex":0.000041250867,"about_ca_system_score_gemma":0.00009925572,"threshold_uncertainty_score":0.99997},"labels":[],"label_agreement":null},{"id":"W2972255214","doi":"","title":"Edge antimagic total labeling on paths and unicycles","year":2008,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematics; Enhanced Data Rates for GSM Evolution; Arithmetic; Computer science; Telecommunications","score_opus":0.0170136617437347,"score_gpt":0.2381651390073427,"score_spread":0.221151477263608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972255214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847503,0.0008055332,0.0045473855,0.0002855308,0.008774784,0.00014701228,7.377711e-7,0.00007547039,0.00061328465],"genre_scores_gemma":[0.97709894,0.0001438383,0.022402989,0.00006511426,0.0002579283,6.231974e-7,3.2037295e-7,0.000022566925,0.000007659789],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975474,0.0001044992,0.0009809945,0.00031293702,0.0006925987,0.0003616027],"domain_scores_gemma":[0.99753743,0.00062070397,0.00077355147,0.0003386979,0.0004580555,0.00027158463],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013349712,0.00030088497,0.00066866697,0.00028054888,0.0005411389,0.00025433206,0.0004927943,0.00013706206,0.0000014370396],"category_scores_gemma":[0.00034400276,0.00025472487,0.00013422556,0.00037562946,0.00015091454,0.00034645814,0.0003928584,0.000513277,0.000003248934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000273204,0.00042500455,0.00017916864,0.00006491839,0.000053368258,0.00009848385,0.0013507901,0.00006989506,0.0010501718,0.9936199,0.0002133049,0.0028476405],"study_design_scores_gemma":[0.005068286,0.001458035,0.00030269517,0.000532046,0.000046309593,0.0013689052,0.000118534954,0.029549422,0.0014692751,0.9593521,0.00026680963,0.00046760784],"about_ca_topic_score_codex":0.000005436707,"about_ca_topic_score_gemma":4.0027608e-8,"teacher_disagreement_score":0.034267858,"about_ca_system_score_codex":0.000033022166,"about_ca_system_score_gemma":0.00012707432,"threshold_uncertainty_score":0.9999905},"labels":[],"label_agreement":null},{"id":"W2978163255","doi":"","title":"Binding number and tenacity","year":2014,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Mathematical Identities","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tenacity (mineralogy); Mathematics; Mathematical economics; Composite material; Materials science","score_opus":0.02335644881475297,"score_gpt":0.29649029560689116,"score_spread":0.2731338467921382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978163255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670626,0.00007296179,0.02208863,0.00012596788,0.005516637,0.00025016285,0.0000015295653,0.00007656707,0.0048049474],"genre_scores_gemma":[0.9483885,0.000030089037,0.050294727,0.000015223034,0.001153126,0.0000017342081,3.5570295e-7,0.000059137423,0.00005710586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971018,0.00015424701,0.0013538015,0.00024352093,0.0007378714,0.00040879502],"domain_scores_gemma":[0.99440706,0.0032730948,0.0012856417,0.00028304086,0.00046547505,0.00028571574],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026898235,0.00035820215,0.0010993131,0.00016180155,0.00032587876,0.00027728186,0.0003316106,0.00018613109,0.00001789618],"category_scores_gemma":[0.004114969,0.00030186627,0.0001657973,0.00022180656,0.00020675744,0.00036589438,0.00034583715,0.000549657,0.000006366334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027307799,0.0002842455,0.00022801718,0.0005158809,0.00007862176,0.0000093413,0.0008183823,0.0000011554504,0.00042704414,0.9966401,0.00026283262,0.00070711],"study_design_scores_gemma":[0.002577104,0.0002964235,0.00003570486,0.0005236496,0.00014907322,0.0002998592,0.00042436726,0.0016072529,0.0007894919,0.99247015,0.00050379947,0.00032309935],"about_ca_topic_score_codex":0.0000029204368,"about_ca_topic_score_gemma":2.5246973e-7,"teacher_disagreement_score":0.028206095,"about_ca_system_score_codex":0.00006956922,"about_ca_system_score_gemma":0.000048212154,"threshold_uncertainty_score":0.9999433},"labels":[],"label_agreement":null},{"id":"W2987170143","doi":"","title":"Dudeney's round table problem — A survey","year":2019,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Mathematics and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Table (database); Arithmetic; Mathematical economics; Computer science; Data mining","score_opus":0.02987115893768173,"score_gpt":0.2931470964779697,"score_spread":0.263275937540288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987170143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981961,0.0001608685,0.0051077125,0.0001241052,0.0056201494,0.0008535328,0.000009440867,0.000065686,0.0060975095],"genre_scores_gemma":[0.96098125,0.000026978367,0.03800855,0.00002374785,0.000725551,0.000005569932,0.0000030228207,0.00007886035,0.00014648802],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964084,0.00016668453,0.0017337445,0.0002993011,0.0009255509,0.0004662924],"domain_scores_gemma":[0.99373156,0.0026216537,0.0019068448,0.00051603006,0.0009662169,0.00025769684],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004170572,0.00039323317,0.0012084814,0.00020590021,0.0002478288,0.00035892442,0.0006400643,0.00021673832,0.000059598005],"category_scores_gemma":[0.00092773343,0.00033790394,0.00020898852,0.000524024,0.000071576935,0.0002564347,0.00030592302,0.0005748274,0.000019945515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052491327,0.0010183272,0.0007244815,0.00050612225,0.00016495828,0.000006868481,0.00081937335,0.000011409725,0.0005729329,0.9910442,0.004763087,0.00031572735],"study_design_scores_gemma":[0.0036828986,0.00057310454,0.00016531086,0.000513362,0.0001242763,0.0001233616,0.00030892744,0.00241912,0.00047873455,0.98751765,0.0036434685,0.00044980532],"about_ca_topic_score_codex":0.00002808759,"about_ca_topic_score_gemma":0.0000016500586,"teacher_disagreement_score":0.032900836,"about_ca_system_score_codex":0.00009986459,"about_ca_system_score_gemma":0.00021772139,"threshold_uncertainty_score":0.9999073},"labels":[],"label_agreement":null},{"id":"W2995390831","doi":"","title":"The LP Relaxation Orthogonal Array Polytope and its Permutation Symmetries","year":2014,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Polytope; Birkhoff polytope; Permutation (music); Mathematics; Homogeneous space; Characterization (materials science); Combinatorics; Symmetry (geometry); Orthogonal array; Permutation group; Factorial; Relaxation (psychology); Geometry; Regular polygon; Mathematical analysis; Statistics","score_opus":0.04581368736529833,"score_gpt":0.35564317030539083,"score_spread":0.3098294829400925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995390831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9341033,0.0012739877,0.045179375,0.0007437202,0.01605376,0.00032563542,0.0000013651884,0.00002652614,0.002292304],"genre_scores_gemma":[0.98869765,0.00005082984,0.010089906,0.000039513114,0.0010679666,0.0000015137474,3.6770047e-7,0.000022696848,0.000029567065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953569,0.0007442884,0.0016407777,0.0002777985,0.0016838863,0.00029632382],"domain_scores_gemma":[0.98723334,0.008899039,0.0019532829,0.00026423854,0.0014346964,0.00021537772],"candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.013714043,0.00024986654,0.00064912305,0.00024864063,0.00089299656,0.0010694328,0.0005898299,0.00014138735,0.0000065836116],"category_scores_gemma":[0.01779307,0.0001615035,0.0001483383,0.00056588475,0.00017251432,0.00047789,0.00021020845,0.00042458533,0.0000061999363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011880451,0.0001119484,0.0002440271,0.000019545707,0.00003912482,0.000002490117,0.0012088872,0.000023769087,0.0046159024,0.97999245,0.00013916956,0.013483857],"study_design_scores_gemma":[0.0021945115,0.000969417,0.0007482404,0.00010443958,0.000051155926,0.00012158536,0.0012852859,0.016315987,0.0052351984,0.97098595,0.0017523081,0.0002359074],"about_ca_topic_score_codex":0.0000019915406,"about_ca_topic_score_gemma":2.2286528e-7,"teacher_disagreement_score":0.054594316,"about_ca_system_score_codex":0.0000594251,"about_ca_system_score_gemma":0.00010097131,"threshold_uncertainty_score":0.9999676},"labels":[],"label_agreement":null},{"id":"W2996702648","doi":"10.61091/jcmcc119-01","title":"On \\({k}\\)-Dyck Paths with a Negative Boundary","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Van Dyke beard; Boundary (topology); Computer science; Mathematics; History; Mathematical analysis; Art history","score_opus":0.010831596643308785,"score_gpt":0.2506812811634222,"score_spread":0.2398496845201134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996702648","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4461558,0.000941704,0.5266694,0.00077449414,0.022867959,0.00033398464,0.0000022065997,0.00015972693,0.0020947573],"genre_scores_gemma":[0.9719337,0.000021194268,0.026727945,0.00006884202,0.0012066202,0.0000019380886,8.850991e-7,0.00002305145,0.00001582146],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99777967,0.000099862285,0.0006990335,0.0003037524,0.0008523578,0.00026529975],"domain_scores_gemma":[0.99721247,0.0014917931,0.00040887707,0.0002322947,0.00047548758,0.00017909473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011691835,0.00026988686,0.00045977777,0.0003694777,0.00028106154,0.0010197251,0.00048100503,0.00009673744,0.000004814197],"category_scores_gemma":[0.00025501623,0.00020532322,0.00013258675,0.00074515765,0.000068885216,0.0005732145,0.00017226364,0.00050325604,0.000007552782],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055413282,0.00023849092,0.000005280384,0.00011199867,0.00011202104,0.0001154776,0.0013671222,0.00045052372,0.00012432481,0.98764193,0.0005305187,0.009246916],"study_design_scores_gemma":[0.0017697272,0.0021306658,0.00003817825,0.0006579686,0.000047813523,0.00034555333,0.00007406427,0.08347226,0.000789625,0.90840036,0.0019959798,0.0002778019],"about_ca_topic_score_codex":0.0000021062442,"about_ca_topic_score_gemma":1.6319991e-7,"teacher_disagreement_score":0.52577794,"about_ca_system_score_codex":0.000094666895,"about_ca_system_score_gemma":0.00038532735,"threshold_uncertainty_score":0.9833233},"labels":[],"label_agreement":null},{"id":"W2996952245","doi":"10.61091/jcmcc124-48","title":"Generalized domination structure in cubic graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Cubic graph; Combinatorics; Graph; Line graph","score_opus":0.011518185236568031,"score_gpt":0.28901297877206544,"score_spread":0.2774947935354974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996952245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90485835,0.00064896094,0.08133665,0.00035920425,0.011797383,0.00034059558,9.627663e-7,0.00004253041,0.0006153542],"genre_scores_gemma":[0.97366506,0.000048034228,0.026024511,0.00003659445,0.00019971275,0.000001691856,5.190058e-7,0.000013980063,0.000009885118],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99732584,0.00025170803,0.0010979556,0.00028289622,0.0006540858,0.00038751072],"domain_scores_gemma":[0.9974243,0.00083543255,0.0006691559,0.00038276552,0.0005618929,0.00012646674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001915066,0.0002560617,0.00069564255,0.00089970767,0.00020736533,0.00031333455,0.0010983325,0.0001676741,0.0000029976725],"category_scores_gemma":[0.00063087407,0.00023044496,0.00014815647,0.0014127039,0.00009721655,0.0005161412,0.00047239123,0.0006531811,6.055007e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059717815,0.00021256585,0.0003035255,0.00009841297,0.00004450592,0.000025764959,0.0005651132,0.000102516926,0.0019167727,0.9925139,0.000066485576,0.0040907343],"study_design_scores_gemma":[0.0048296493,0.00022194776,0.00029377633,0.00028621117,0.000017854294,0.00003921358,0.000085086875,0.015707338,0.0023700262,0.97571266,0.00024321392,0.00019305438],"about_ca_topic_score_codex":0.000005623354,"about_ca_topic_score_gemma":9.856105e-7,"teacher_disagreement_score":0.068806715,"about_ca_system_score_codex":0.00013025354,"about_ca_system_score_gemma":0.00021103151,"threshold_uncertainty_score":0.93972725},"labels":[],"label_agreement":null},{"id":"W3022142029","doi":"","title":"New constructions of A-magic graphs using labeling matrices","year":2008,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematics; MAGIC (telescope); Combinatorics; Arithmetic; Astronomy; Physics","score_opus":0.022013441299921683,"score_gpt":0.250683089911664,"score_spread":0.2286696486117423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022142029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8955784,0.0014875669,0.08935029,0.00007824408,0.013030398,0.00015325665,8.637185e-7,0.00005825066,0.00026276984],"genre_scores_gemma":[0.7853059,0.00009732097,0.21441004,0.00001100609,0.00015663393,1.4765904e-7,1.7562078e-7,0.000015691123,0.00000308431],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971671,0.00009466466,0.0014229764,0.00023748861,0.0007621572,0.00031559664],"domain_scores_gemma":[0.9964026,0.00048610845,0.0016717878,0.00033905377,0.00083413173,0.00026629644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010666949,0.00025914385,0.0007796773,0.00047307872,0.0003766238,0.00013004089,0.00068919576,0.0001383253,0.0000036471124],"category_scores_gemma":[0.00025888995,0.00023262587,0.00023150753,0.000896667,0.00015094283,0.0004301325,0.00030114022,0.000390478,0.0000011938838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016115575,0.00021309001,0.00042544224,0.00008692958,0.00009069819,0.000026331603,0.001174945,0.00026768044,0.0033502723,0.9933409,0.00016286843,0.00084473944],"study_design_scores_gemma":[0.0031333459,0.00043998414,0.000036903326,0.00040605408,0.00008453878,0.0010981779,0.00014681158,0.020117298,0.0027619652,0.9714249,0.00007535658,0.00027469377],"about_ca_topic_score_codex":0.00004587474,"about_ca_topic_score_gemma":1.2732757e-7,"teacher_disagreement_score":0.12505975,"about_ca_system_score_codex":0.000035182777,"about_ca_system_score_gemma":0.0004015035,"threshold_uncertainty_score":0.94862074},"labels":[],"label_agreement":null},{"id":"W3023039235","doi":"","title":"Vertex-antimagic total labeling of the union of suns","year":2009,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Suns in alchemy; Mathematics; Vertex (graph theory); Combinatorics; Physics; Graph; Astronomy","score_opus":0.01037254989242579,"score_gpt":0.23310775615505502,"score_spread":0.22273520626262924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023039235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97854316,0.00050784234,0.007969096,0.00070530304,0.011741514,0.00017937571,8.727816e-7,0.000026584157,0.000326239],"genre_scores_gemma":[0.98620296,0.000020900135,0.013644207,0.000036045993,0.00008310879,1.5485226e-7,1.5567255e-7,0.000009881043,0.000002594422],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972982,0.00015691434,0.0013118325,0.00017873473,0.00080151774,0.00025282693],"domain_scores_gemma":[0.9965217,0.0004248797,0.0016932104,0.00043468174,0.00081357075,0.00011195784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020047138,0.00020973926,0.0006874443,0.00018380974,0.00018226539,0.00009464887,0.0008841328,0.00011428426,0.000001034832],"category_scores_gemma":[0.00041224988,0.00014974366,0.00025546498,0.000636588,0.00010924032,0.0002397881,0.00029403516,0.00037355558,3.3790198e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017271806,0.00048994843,0.00016431541,0.00008369682,0.00004583832,0.000003696653,0.0008459582,0.00020873868,0.011187609,0.98450166,0.00011633651,0.002334913],"study_design_scores_gemma":[0.0026919302,0.0008783372,0.00038847083,0.0006911971,0.00006538476,0.00010382593,0.000078349774,0.016492141,0.013281817,0.9651138,0.00003164383,0.0001830595],"about_ca_topic_score_codex":0.000008597371,"about_ca_topic_score_gemma":7.039605e-8,"teacher_disagreement_score":0.019387834,"about_ca_system_score_codex":0.000025563231,"about_ca_system_score_gemma":0.00012778518,"threshold_uncertainty_score":0.61063695},"labels":[],"label_agreement":null},{"id":"W3085158163","doi":"","title":"On path-supermagic labelings of cycles","year":2016,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Path (computing); Combinatorics; Arithmetic; Computer science; Computer network","score_opus":0.012339162529433362,"score_gpt":0.23691134436114056,"score_spread":0.22457218183170718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085158163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9615204,0.00032782473,0.026168646,0.000604402,0.010677311,0.0001516391,0.0000017396056,0.000058668218,0.00048940314],"genre_scores_gemma":[0.98578507,0.000055175613,0.013944516,0.000045581157,0.00014336141,6.539714e-7,1.2208037e-7,0.000019698733,0.000005817543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99725616,0.00011327612,0.001238832,0.000252735,0.0008217014,0.0003173051],"domain_scores_gemma":[0.9961354,0.0013170313,0.0011978179,0.0004103677,0.00073701475,0.00020234736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017520518,0.00025947884,0.00070319814,0.0002810289,0.00015935244,0.00012080049,0.00079915114,0.00013355934,0.0000041984663],"category_scores_gemma":[0.0007077102,0.0001694021,0.00019971807,0.00035207026,0.00012390832,0.00030836576,0.00030386433,0.0002567676,0.000004816116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033878132,0.0004177367,0.00008812152,0.000069705035,0.00005104508,0.000014745313,0.0004960441,0.000011061881,0.00779401,0.98664623,0.00023332305,0.0041440986],"study_design_scores_gemma":[0.003924308,0.0011490562,0.000046922767,0.000947046,0.000031718984,0.00006691761,0.000038485152,0.0020083804,0.0070737624,0.9843601,0.00012653013,0.00022677206],"about_ca_topic_score_codex":0.000003863399,"about_ca_topic_score_gemma":4.112918e-8,"teacher_disagreement_score":0.024264708,"about_ca_system_score_codex":0.000038238897,"about_ca_system_score_gemma":0.000116686155,"threshold_uncertainty_score":0.69080174},"labels":[],"label_agreement":null},{"id":"W3155947921","doi":"","title":"On some transitive combinatorial structures and codes constructed from the symplectic group S(6, 2)","year":2016,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Transitive relation; Symplectic geometry; Group (periodic table); Symplectic group; Combinatorics; Pure mathematics; Discrete mathematics; Physics","score_opus":0.009439262635961614,"score_gpt":0.22536039241987535,"score_spread":0.21592112978391373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155947921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9437242,0.00045078123,0.03560458,0.00076460396,0.018860172,0.00032748238,0.000013104987,0.00009021118,0.00016483507],"genre_scores_gemma":[0.9961349,0.00005725134,0.0024020786,0.000116170915,0.0012564597,0.000002443013,7.882511e-7,0.00002913626,7.699488e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968002,0.0004658772,0.001010829,0.00043680257,0.0008368951,0.0004494351],"domain_scores_gemma":[0.99139756,0.0065121106,0.00096677593,0.00048860046,0.00037607003,0.00025888337],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016209517,0.00044711787,0.00085659244,0.00020074184,0.0006579018,0.00055994384,0.0010832584,0.00020841992,0.0000083262],"category_scores_gemma":[0.00071190274,0.00026811557,0.00023806044,0.00039238983,0.00042146473,0.0005652317,0.00036276656,0.0005536839,0.0000016272448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021235339,0.00020835038,0.00022836657,0.000026980437,0.00020415519,0.000023650384,0.001285729,0.0000014185775,0.0016443013,0.9906099,0.00013680328,0.005418],"study_design_scores_gemma":[0.0065366505,0.0014114316,0.0008269478,0.00045887768,0.00010856759,0.000111746565,0.00022871674,0.0005123837,0.0010581808,0.9882535,0.00012766494,0.00036536157],"about_ca_topic_score_codex":0.000014935066,"about_ca_topic_score_gemma":6.3072423e-7,"teacher_disagreement_score":0.052410677,"about_ca_system_score_codex":0.000069450536,"about_ca_system_score_gemma":0.000122011326,"threshold_uncertainty_score":0.9999771},"labels":[],"label_agreement":null},{"id":"W3158357550","doi":"","title":"Steiner 2-designs S(2, 5, 41) with automorphisms of order 3","year":2002,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automorphism; Mathematics; Order (exchange); Combinatorics; Pure mathematics; Discrete mathematics; Business","score_opus":0.014541364336742142,"score_gpt":0.20469761229631767,"score_spread":0.19015624795957553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158357550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746563,0.0009516594,0.010475709,0.000037066613,0.010014102,0.00027287682,0.0000027924705,0.000098062446,0.0034914657],"genre_scores_gemma":[0.9959339,0.000037073547,0.0033593825,0.0000049152204,0.0005978863,0.0000013849294,3.9514345e-7,0.000051908017,0.00001315839],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979349,0.000076981036,0.0010262162,0.00012653292,0.0005483797,0.00028700614],"domain_scores_gemma":[0.9981935,0.00036026392,0.000599403,0.00022974968,0.00045826993,0.00015882694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008405921,0.00028682844,0.0008193765,0.00020557562,0.000109848515,0.0000799789,0.00030090663,0.00014480695,0.000032088446],"category_scores_gemma":[0.000092469476,0.0002281604,0.00012563448,0.00043330953,0.000103729566,0.00017820892,0.00004887347,0.0003755065,0.0000031482002],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009575346,0.0007839159,0.00025718447,0.0009855863,0.00057610736,0.000072859664,0.0036371087,0.0025947054,0.004800515,0.98296535,0.0011892621,0.0020416481],"study_design_scores_gemma":[0.02413606,0.0061611165,0.00017371883,0.0034783515,0.0007678988,0.00131125,0.0018847327,0.17719994,0.015058793,0.7633161,0.004703821,0.0018081923],"about_ca_topic_score_codex":0.000002127147,"about_ca_topic_score_gemma":1.4717561e-7,"teacher_disagreement_score":0.21964924,"about_ca_system_score_codex":0.000038452345,"about_ca_system_score_gemma":0.000025034486,"threshold_uncertainty_score":0.9304111},"labels":[],"label_agreement":null},{"id":"W3187558414","doi":"","title":"Orthogonal double covers of complete graphs by lobsters of diameter 5","year":2008,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics; Discrete mathematics","score_opus":0.013690073296563441,"score_gpt":0.20780882290809777,"score_spread":0.19411874961153433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187558414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874318,0.0005988469,0.0019627756,0.0000063001385,0.008747076,0.0001784403,0.00001377009,0.000027657288,0.0010332894],"genre_scores_gemma":[0.9988332,0.000079206584,0.0008414252,0.000004079875,0.00019877544,9.82e-7,0.0000021856004,0.000037304548,0.000002888843],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99748534,0.00007392635,0.0014413223,0.00012700091,0.0006025809,0.000269823],"domain_scores_gemma":[0.9978765,0.0004960031,0.000919786,0.00021401282,0.00033936076,0.00015432747],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008321997,0.00027250184,0.0010231758,0.00022153031,0.000110919515,0.000027031234,0.00034080673,0.0001476518,0.0000070539613],"category_scores_gemma":[0.00006104352,0.00025217593,0.00030065316,0.00032533304,0.00020797005,0.00016688564,0.00007004228,0.00032673983,7.880355e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004148555,0.0007408081,0.0021054072,0.0012787182,0.00079514756,0.000035254296,0.0037589474,0.0011571205,0.03679598,0.95101655,0.0016126165,0.0002886168],"study_design_scores_gemma":[0.041988146,0.0043838103,0.00087013474,0.0029133812,0.0007105736,0.0010793937,0.0022029267,0.0143902525,0.07241137,0.85326433,0.0037361998,0.0020494976],"about_ca_topic_score_codex":0.0000065669697,"about_ca_topic_score_gemma":1.2118755e-7,"teacher_disagreement_score":0.09775221,"about_ca_system_score_codex":0.000033408847,"about_ca_system_score_gemma":0.000047165253,"threshold_uncertainty_score":0.999993},"labels":[],"label_agreement":null},{"id":"W3197135893","doi":"","title":"Further results on SD-prime labeling","year":2016,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematics; Prime (order theory); Arithmetic; Combinatorics","score_opus":0.01654925114387481,"score_gpt":0.24645547473800988,"score_spread":0.22990622359413507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197135893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86833,0.00063518964,0.07413234,0.0058158743,0.047082353,0.00047974847,0.000005434126,0.0003119749,0.0032070791],"genre_scores_gemma":[0.9798634,0.0000434232,0.01955675,0.00008253672,0.00040173516,8.5944134e-7,2.0197378e-7,0.00002789993,0.000023169365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99679625,0.00015144385,0.001356841,0.00036323068,0.00089966523,0.00043257687],"domain_scores_gemma":[0.99584895,0.0013914243,0.0012565363,0.00055510394,0.00066890195,0.0002790723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027500256,0.00031742454,0.00064945273,0.00030322812,0.0002582748,0.00028653402,0.0009042877,0.00016796129,0.000002999347],"category_scores_gemma":[0.0010117091,0.00020639866,0.0001926922,0.00039413734,0.00009215316,0.00035744952,0.00035908443,0.000360786,0.000018165438],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009693437,0.00038974313,0.000026441683,0.00002605053,0.00006632676,0.000030610496,0.00084198714,0.000017368418,0.0043895943,0.98366183,0.00044313245,0.010009985],"study_design_scores_gemma":[0.007935646,0.0014081273,0.000028073617,0.0009274991,0.00003378179,0.00009975061,0.000056954035,0.0025151854,0.006414163,0.97920823,0.0010106426,0.0003619724],"about_ca_topic_score_codex":0.0000037948046,"about_ca_topic_score_gemma":8.947072e-8,"teacher_disagreement_score":0.11153342,"about_ca_system_score_codex":0.00006804504,"about_ca_system_score_gemma":0.00013342856,"threshold_uncertainty_score":0.8416693},"labels":[],"label_agreement":null},{"id":"W3199231646","doi":"","title":"The number of perfect matchings in random polyazulenoid chains","year":2018,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematics; Combinatorics","score_opus":0.0064548403739628545,"score_gpt":0.2568987295166519,"score_spread":0.250443889142689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199231646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.955231,0.0008772175,0.0007835036,0.00009020092,0.041854322,0.00018042803,0.0000018501672,0.000004738256,0.000976722],"genre_scores_gemma":[0.9812622,0.00032751128,0.000613023,0.00002327677,0.017714113,0.0000016262643,9.4064944e-7,0.00002663065,0.00003065541],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99812114,0.0001323198,0.0009130247,0.00016868241,0.00037151205,0.0002933384],"domain_scores_gemma":[0.9981631,0.00024534855,0.00079588895,0.00025002615,0.0004423681,0.000103252554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019438578,0.00020571356,0.0005506422,0.00006986249,0.00021564579,0.00007594039,0.00036754465,0.00015093198,0.0000047213566],"category_scores_gemma":[0.000529221,0.00015292544,0.00018742238,0.00016755851,0.00022292566,0.00001284975,0.00019311586,0.0002624251,0.0000012606405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033141086,0.0013126561,0.0043799733,0.00037815407,0.0005156622,0.000002425774,0.005463823,0.000022529499,0.10645413,0.86275095,0.0063389787,0.009066619],"study_design_scores_gemma":[0.07258642,0.0060281074,0.0035097422,0.0016620522,0.0005328358,0.0009121092,0.003688501,0.0028709876,0.076289624,0.60705346,0.2228813,0.0019848407],"about_ca_topic_score_codex":0.00002960828,"about_ca_topic_score_gemma":0.0000046117884,"teacher_disagreement_score":0.25569746,"about_ca_system_score_codex":0.00002424707,"about_ca_system_score_gemma":0.00019958861,"threshold_uncertainty_score":0.6236118},"labels":[],"label_agreement":null},{"id":"W3199856109","doi":"","title":"Decomposition of complete graphs into unicyclic graphs with eight edges","year":2020,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics; Decomposition; Discrete mathematics","score_opus":0.011295425392662472,"score_gpt":0.21960433089916828,"score_spread":0.2083089055065058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199856109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98554444,0.0006764092,0.008018741,0.00006789202,0.0047715046,0.00023730307,0.0000041011967,0.00007087998,0.00060873764],"genre_scores_gemma":[0.9967736,0.000052573236,0.002682755,0.000016299411,0.0004216857,0.0000014888055,0.0000024037938,0.00004884937,3.5327693e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978048,0.000111446745,0.0011393323,0.00016440653,0.0005156864,0.00026433103],"domain_scores_gemma":[0.99812996,0.00037684565,0.00070114457,0.00018819512,0.0003437653,0.0002601059],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00063250714,0.00032057436,0.0009375748,0.00021471042,0.00016114746,0.00009295001,0.00038310696,0.0001369557,0.0000049312785],"category_scores_gemma":[0.000059454836,0.00027043244,0.00020695716,0.00054632826,0.00013204501,0.00020514708,0.000076637014,0.00043251,0.0000014423778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001883616,0.00025401622,0.0003977115,0.0011316506,0.00046430237,0.00003226871,0.0039429516,0.00071163784,0.0121977655,0.97908026,0.00017970568,0.0014193637],"study_design_scores_gemma":[0.0072223786,0.0025793752,0.00018477342,0.0012232414,0.00032366387,0.00018635506,0.001137895,0.022626562,0.012506308,0.95064837,0.00068435847,0.00067670865],"about_ca_topic_score_codex":0.000003916972,"about_ca_topic_score_gemma":3.3045472e-7,"teacher_disagreement_score":0.028431885,"about_ca_system_score_codex":0.000031086453,"about_ca_system_score_gemma":0.00003828813,"threshold_uncertainty_score":0.9999748},"labels":[],"label_agreement":null},{"id":"W3202221775","doi":"","title":"Decomposition of complete graphs into tri-cyclic graphs with eight edges","year":2020,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics; Decomposition; Brooks' theorem; 1-planar graph; Modular decomposition; Discrete mathematics; Chordal graph; Pathwidth; Graph; Line graph; Chemistry","score_opus":0.011706885947761347,"score_gpt":0.21951926727166565,"score_spread":0.2078123813239043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202221775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986126,0.00071601226,0.006777662,0.00007521695,0.0053958716,0.00026950598,0.000004587883,0.00007445366,0.00056065706],"genre_scores_gemma":[0.99712145,0.000052803593,0.0022537916,0.000016748116,0.00049859006,0.0000018980705,0.00000263619,0.000051682277,3.9851017e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976167,0.00011923277,0.0012459994,0.00017696047,0.0005586286,0.0002824455],"domain_scores_gemma":[0.99799466,0.00042484113,0.0007636501,0.00018998665,0.00035143355,0.0002754292],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007007369,0.00034295616,0.0010298705,0.0002356051,0.00017335192,0.00010333781,0.0003849082,0.00014735362,0.000005613525],"category_scores_gemma":[0.00007833786,0.00028843718,0.0002364232,0.0005706655,0.00013005537,0.00021634538,0.00007245077,0.0004546432,0.0000016040282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003488087,0.00032592606,0.0004691761,0.001523864,0.0005401685,0.0000379255,0.0047997856,0.0007723718,0.017482296,0.9722693,0.00026007812,0.0011702743],"study_design_scores_gemma":[0.008662766,0.0028524406,0.00020970017,0.0012192862,0.00035078512,0.00019097577,0.0011003553,0.012786011,0.015353075,0.95581007,0.0007626375,0.00070190197],"about_ca_topic_score_codex":0.0000038830435,"about_ca_topic_score_gemma":2.9968962e-7,"teacher_disagreement_score":0.01645926,"about_ca_system_score_codex":0.00003308386,"about_ca_system_score_gemma":0.00004023617,"threshold_uncertainty_score":0.9999568},"labels":[],"label_agreement":null},{"id":"W415000","doi":"","title":"Product constructions for critical sets in latin squares","year":2003,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Latin square; Product (mathematics); Geometry; Food science; Chemistry","score_opus":0.013311967139782947,"score_gpt":0.2513491557138496,"score_spread":0.23803718857406664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W415000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96281576,0.0007258618,0.007427466,0.000041488845,0.026605917,0.00040931223,0.0000043220134,0.0000591064,0.0019107894],"genre_scores_gemma":[0.99354285,0.000011569138,0.0059207473,0.000003657131,0.00048146932,0.0000052461023,4.7005324e-7,0.000032154905,0.0000018472275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982806,0.00010201366,0.0009349633,0.00013281549,0.0002508477,0.00029879785],"domain_scores_gemma":[0.99828357,0.000986952,0.0002078595,0.00014504754,0.0002537438,0.00012284088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014597038,0.00020840224,0.0005683666,0.0002647028,0.00014485471,0.000110015666,0.0001524478,0.000109277236,0.0000051217767],"category_scores_gemma":[0.0010835768,0.00019922374,0.0001294728,0.00031136244,0.00008206519,0.00014814759,0.000020807614,0.0003358611,8.20899e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002198382,0.00015593396,0.00029683497,0.0003790562,0.000043524786,0.000007311472,0.0006691094,0.00029688442,0.00050269475,0.9970869,0.00012247502,0.00041732172],"study_design_scores_gemma":[0.0029749565,0.00028347256,0.00006638718,0.0003763173,0.00005179783,0.00017580106,0.00073246204,0.005605634,0.0018979673,0.98636436,0.0012025174,0.0002683019],"about_ca_topic_score_codex":0.0000010251305,"about_ca_topic_score_gemma":3.2408525e-7,"teacher_disagreement_score":0.030727103,"about_ca_system_score_codex":0.00005747177,"about_ca_system_score_gemma":0.000060012684,"threshold_uncertainty_score":0.81241083},"labels":[],"label_agreement":null},{"id":"W4385397173","doi":"10.61091/jcmcc","title":"Journal of Combinatorial Mathematics and Combinatorial Computing","year":2023,"lang":"en","type":"paratext","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":237,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Discrete mathematics","score_opus":0.02095889035569519,"score_gpt":0.2673314439731945,"score_spread":0.24637255361749932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385397173","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27093655,0.0113834245,0.04636216,0.0011519849,0.6604633,0.002655672,0.000073450356,0.00048824784,0.0064852657],"genre_scores_gemma":[0.9002227,0.002942671,0.07964531,0.00018598931,0.015686452,0.000011276581,0.000037449157,0.00082323776,0.00044490266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98537046,0.0007197948,0.0072461176,0.0011198348,0.003960617,0.0015831937],"domain_scores_gemma":[0.9760698,0.0046928837,0.012150482,0.0013465354,0.0045565986,0.001183713],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.009793662,0.0018116127,0.005377069,0.0019642075,0.0011388524,0.002174058,0.0038009612,0.0016394876,0.000024238827],"category_scores_gemma":[0.0025505547,0.0016460761,0.0012057304,0.0019766293,0.000628108,0.0010154058,0.0027187779,0.004107635,0.000084754545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021694953,0.0021706289,0.000025678293,0.002407372,0.0012569196,0.00032846263,0.0045938483,0.00023978922,0.0005550354,0.9433678,0.042627502,0.002210015],"study_design_scores_gemma":[0.019616436,0.004521449,0.000016450322,0.0066910875,0.00091388647,0.00176212,0.0008163682,0.016856842,0.000860217,0.93738526,0.0084587755,0.0021010935],"about_ca_topic_score_codex":0.000037996437,"about_ca_topic_score_gemma":5.052622e-7,"teacher_disagreement_score":0.6447768,"about_ca_system_score_codex":0.00037332156,"about_ca_system_score_gemma":0.001575034,"threshold_uncertainty_score":0.9996566},"labels":[],"label_agreement":null},{"id":"W4385403187","doi":"10.61091/jcmcc117-01","title":"Study of Topological Behavior of Some Computer Related Graphs","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Computer science; Topology (electrical circuits); Combinatorics","score_opus":0.0270237439679128,"score_gpt":0.2827526272594861,"score_spread":0.2557288832915733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385403187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819721,0.00012886562,0.005168505,0.000046278026,0.012133906,0.00036868628,9.965931e-7,0.000088907575,0.00009175397],"genre_scores_gemma":[0.99587727,0.000031179523,0.0035995676,0.000008303767,0.0004568116,0.000002043799,7.2380476e-7,0.000021124772,0.00000299399],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99618953,0.00029230947,0.0019073209,0.00032128958,0.00090727926,0.0003822462],"domain_scores_gemma":[0.99518913,0.0014852522,0.0018730622,0.0004085023,0.00087186776,0.00017219315],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024751294,0.00030066876,0.0011601524,0.0005227576,0.00019829269,0.0001028879,0.0010331529,0.00018953472,0.000002200314],"category_scores_gemma":[0.00026587295,0.00025914176,0.00026756595,0.00124462,0.00014362419,0.00025248446,0.00095378014,0.000558541,0.0000018029685],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054948934,0.0034844666,0.0042258864,0.00013722599,0.00025628044,0.0001832079,0.005124933,0.00027753078,0.00034002942,0.9762487,0.00019182332,0.009474994],"study_design_scores_gemma":[0.012013738,0.009972576,0.013469891,0.00077702117,0.000300435,0.00026039826,0.0013618639,0.05123519,0.0010146558,0.90891623,0.000033383607,0.0006446409],"about_ca_topic_score_codex":0.000007634299,"about_ca_topic_score_gemma":1.5236229e-7,"teacher_disagreement_score":0.06733247,"about_ca_system_score_codex":0.00003006896,"about_ca_system_score_gemma":0.00009607297,"threshold_uncertainty_score":0.99998605},"labels":[],"label_agreement":null},{"id":"W4385403310","doi":"10.61091/jcmcc117-02","title":"Cycles and Paths Related Vertex-Equitable Graphs","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vertex (graph theory); Combinatorics; Mathematics; Graph; Computer science","score_opus":0.01467007478408068,"score_gpt":0.24408552399169045,"score_spread":0.22941544920760976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385403310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97947145,0.00086014444,0.0018668721,0.00045748893,0.016303647,0.00018900912,9.704702e-7,0.00022699709,0.00062340347],"genre_scores_gemma":[0.99337584,0.00019356146,0.006284302,0.000030923107,0.000073606,0.0000012310448,8.14009e-7,0.000025819105,0.000013889845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972838,0.00011903075,0.0010934587,0.00031112987,0.000689694,0.0005028794],"domain_scores_gemma":[0.99739414,0.0007834673,0.00078896194,0.00034239682,0.00040957675,0.0002814608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002741484,0.0002767786,0.0006646605,0.0004598381,0.0004777193,0.00045380823,0.0006135231,0.00017505215,0.0000019230492],"category_scores_gemma":[0.0004411633,0.00023959726,0.00014855375,0.001049441,0.00011589844,0.00045243674,0.0006931646,0.00044891483,0.000007989906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011369435,0.00014768944,0.00019345837,0.00009073554,0.00007051397,0.00005223328,0.0013408839,0.000036134268,0.00078519736,0.9935817,0.0006515395,0.0030385158],"study_design_scores_gemma":[0.002724355,0.0004739726,0.00019604103,0.00029723922,0.000041845182,0.00017631767,0.00019887941,0.030186728,0.00032858184,0.96492845,0.0001852954,0.00026231972],"about_ca_topic_score_codex":0.0000073960396,"about_ca_topic_score_gemma":1.0249809e-7,"teacher_disagreement_score":0.030150594,"about_ca_system_score_codex":0.000025876612,"about_ca_system_score_gemma":0.00010103637,"threshold_uncertainty_score":0.9770493},"labels":[],"label_agreement":null},{"id":"W4391127431","doi":"10.61091/jcmcc118-01","title":"Evaluation of Individual Innovation and Entrepreneurship Effect Based on Linear Space Model and Grey Correlation","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Connotation; Entrepreneurship; Ideal (ethics); Entrepreneurship education; Space (punctuation); Correlation; Linear correlation; Function (biology); Computer science; Mathematical optimization; Microeconomics; Business; Mathematics; Economics; Statistics; Political science","score_opus":0.03594242962713087,"score_gpt":0.27946018062515543,"score_spread":0.24351775099802456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961581,0.000105235085,0.00022214065,0.0002630556,0.0025307056,0.00028669205,0.0000011602464,0.000027207045,0.0004056514],"genre_scores_gemma":[0.99899006,0.000016736174,0.00020582284,0.00004372592,0.00071855285,0.000002298195,0.000004432351,0.00001721373,0.0000011638972],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977276,0.00007349831,0.00068700354,0.00018531752,0.0011536679,0.00017291265],"domain_scores_gemma":[0.9969477,0.00067617506,0.0011431103,0.0001167584,0.0010945372,0.000021699123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057885083,0.00019601066,0.0004337032,0.0004884453,0.0002065983,0.00019977671,0.00013000496,0.00009846196,0.0000022467812],"category_scores_gemma":[0.0023108332,0.0001669428,0.00005243961,0.0006663644,0.00007278123,0.00037115556,0.00016996956,0.00021595183,0.0000011597182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030777714,0.00034613183,0.041440353,0.0009293699,0.00017463313,0.0000053900944,0.0010229443,0.035281528,0.00048742417,0.8994873,0.00030708694,0.020210057],"study_design_scores_gemma":[0.0042027757,0.0003393892,0.006197157,0.00047184931,0.00039025253,0.0000028827042,0.00018750431,0.7254375,0.00015791459,0.26239672,0.00003945074,0.00017660757],"about_ca_topic_score_codex":0.000007525074,"about_ca_topic_score_gemma":4.0567085e-7,"teacher_disagreement_score":0.690156,"about_ca_system_score_codex":0.0000237406,"about_ca_system_score_gemma":0.000049271228,"threshold_uncertainty_score":0.68077296},"labels":[],"label_agreement":null},{"id":"W4391127437","doi":"10.61091/jcmcc118-04","title":"The Teaching Practice of Ideological and Political Courses in College Based on Deep Learning","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ideology; Mathematics education; Politics; Political education; Mathematics; Sociology; Political science; Law","score_opus":0.0206165240575256,"score_gpt":0.339974779788142,"score_spread":0.3193582557306164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97041315,0.00012462054,0.00021682115,0.009702554,0.0053403336,0.0002556953,9.644656e-7,0.000035469737,0.013910373],"genre_scores_gemma":[0.9985192,0.000037495254,0.0006200079,0.00009335629,0.0007060057,0.00000149432,3.637454e-7,0.0000085571455,0.00001351159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972066,0.0008790034,0.00071755593,0.00012673449,0.0006355549,0.00043455165],"domain_scores_gemma":[0.9842862,0.014618374,0.0004911065,0.000082283164,0.00032161598,0.0002004272],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0066529065,0.00012937012,0.0004023262,0.00013621237,0.00073594804,0.00011058045,0.00022617615,0.00015635994,0.0000034356117],"category_scores_gemma":[0.020966362,0.000089918954,0.000075433265,0.00031609865,0.00042574113,0.000116273746,0.000092110415,0.0007341632,0.0000013231429],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009175569,0.0002766022,0.0011110961,0.000030915184,0.0000118422295,0.000013919772,0.0016209782,0.000051707626,0.000009307028,0.9957655,0.000056361077,0.0009600332],"study_design_scores_gemma":[0.0018365321,0.0011139484,0.0017926638,0.00022541673,0.000047555146,0.000014262832,0.015736785,0.011939282,0.000024670037,0.960377,0.0067238696,0.00016804694],"about_ca_topic_score_codex":0.00010817514,"about_ca_topic_score_gemma":0.0000033750762,"teacher_disagreement_score":0.035388514,"about_ca_system_score_codex":0.00008283871,"about_ca_system_score_gemma":0.00018119892,"threshold_uncertainty_score":0.9872804},"labels":[],"label_agreement":null},{"id":"W4391127448","doi":"10.61091/jcmcc118-14","title":"Optimization Practice of University Innovation and Entrepreneurship Education Based on the Perspective of OBE","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Innovations and Challenges","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Entrepreneurship; Mathematics; Entrepreneurship education; Mathematics education; Business","score_opus":0.02604216230027446,"score_gpt":0.2831992681634991,"score_spread":0.25715710586322466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8955736,0.00016799479,0.080083884,0.013947265,0.006823592,0.00039249935,0.0000027698482,0.000040444073,0.0029679306],"genre_scores_gemma":[0.98759604,0.000037686357,0.01214974,0.00003951345,0.00016542415,4.5176247e-7,0.0000010746843,0.0000061369565,0.0000039416223],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987128,0.00016660239,0.0004988669,0.00012676464,0.00040454714,0.000090428046],"domain_scores_gemma":[0.9941221,0.0021342144,0.0011931345,0.0001958856,0.002323462,0.000031221374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001885104,0.00010022585,0.00022296321,0.0003981782,0.00014541752,0.000058732054,0.00030044385,0.0000592188,0.0000015019201],"category_scores_gemma":[0.0011918453,0.00008331166,0.000039637445,0.0013800287,0.000068794034,0.00026984193,0.00010249732,0.00017439162,2.178121e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003337657,0.00040870847,0.000048869,0.000051938532,0.000026892607,7.118015e-7,0.0014763603,0.0015144065,0.0001050555,0.9956432,0.00010781687,0.00058266136],"study_design_scores_gemma":[0.0016297902,0.00085042196,0.0008091731,0.00046967118,0.00006913966,0.000019926645,0.013956831,0.14947483,0.0012147757,0.83105135,0.00026298573,0.00019109633],"about_ca_topic_score_codex":0.0000072227303,"about_ca_topic_score_gemma":4.8932446e-8,"teacher_disagreement_score":0.16459185,"about_ca_system_score_codex":0.00005597837,"about_ca_system_score_gemma":0.00035055916,"threshold_uncertainty_score":0.3397351},"labels":[],"label_agreement":null},{"id":"W4391127449","doi":"10.61091/jcmcc118-11","title":"Human Behavior Recognition Based on CNN-LSTM Hybrid and Multi-Sensing Feature Information Fusion","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Artificial intelligence; Information fusion; Pattern recognition (psychology); Fusion; Computer science; Linguistics","score_opus":0.0260264826702312,"score_gpt":0.2705638618288675,"score_spread":0.2445373791586363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9546856,0.000018567816,0.03596303,0.0002757248,0.008231823,0.00035419915,0.0000041773314,0.00016568937,0.00030118754],"genre_scores_gemma":[0.98601294,0.000014658341,0.013249461,0.00009797372,0.0005850697,0.0000019883964,0.000014124833,0.00001783579,0.000005923286],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980453,0.00011419934,0.0007479571,0.00019887801,0.00062203617,0.00027159535],"domain_scores_gemma":[0.99790233,0.00029752703,0.000899851,0.00020524878,0.0005242314,0.00017082637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012503729,0.00024565405,0.00041761043,0.000560329,0.00058099534,0.00061415666,0.00025439975,0.00013955154,0.0000034620896],"category_scores_gemma":[0.00023669555,0.00022887466,0.00011779888,0.00040661002,0.00004485572,0.0008321382,0.00017012536,0.0004910656,0.000015680609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000314319,0.0033623003,0.00048219506,0.0015254623,0.00026189577,0.00054364017,0.007741985,0.00042240863,0.0145555725,0.3088902,0.0075196754,0.6543804],"study_design_scores_gemma":[0.017014371,0.0030085635,0.0027980253,0.0021008714,0.00023543184,0.00045172885,0.00059609045,0.6120537,0.008576877,0.35035273,0.0015943857,0.0012172204],"about_ca_topic_score_codex":0.000004053665,"about_ca_topic_score_gemma":1.8959004e-7,"teacher_disagreement_score":0.65316314,"about_ca_system_score_codex":0.00006451135,"about_ca_system_score_gemma":0.00006442161,"threshold_uncertainty_score":0.93332374},"labels":[],"label_agreement":null},{"id":"W4391127453","doi":"10.61091/jcmcc118-02","title":"Traceability Design of Cultural and Creative Products Based on Big Data Algorithm and Blockchain Technology","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies and Applied Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tracing; Computer science; Traceability; Supply chain; Intranet; Blockchain; Information technology; Big data; Data integrity; Data science; Information system; Database; Computer security; World Wide Web; Engineering; Marketing; Business; Software engineering; Data mining; The Internet","score_opus":0.05350417441717619,"score_gpt":0.28836025113314223,"score_spread":0.23485607671596603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127453","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34951794,0.00047794057,0.64331913,0.0011742153,0.0044537648,0.0006418094,0.0000066310604,0.00034815457,0.00006044251],"genre_scores_gemma":[0.79919326,0.00005205872,0.20044027,0.000009917499,0.00028489213,0.0000018805589,8.337383e-7,0.000015625877,0.0000012663894],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976932,0.00010283923,0.000863111,0.00049932115,0.000490468,0.00035108582],"domain_scores_gemma":[0.996684,0.0011091935,0.0009729929,0.00068275176,0.00044686793,0.00010417458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021526117,0.00029446694,0.000759327,0.00039914405,0.0002815522,0.00014966751,0.0010522326,0.00018662654,2.0378639e-7],"category_scores_gemma":[0.0012520828,0.00024127788,0.00004199119,0.0011391705,0.00028385635,0.00016131601,0.0013883915,0.00050579273,3.0049588e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008610248,0.0006359261,0.00009480212,0.00036512935,0.00011982304,0.00005954143,0.0010957731,0.00215756,0.0012602127,0.6536894,0.00021220857,0.34022355],"study_design_scores_gemma":[0.0019112132,0.0009816074,0.00004732067,0.00024783675,0.000029092822,0.000053625226,0.00053889374,0.5963805,0.0019928846,0.39752787,0.000075595504,0.00021356619],"about_ca_topic_score_codex":0.0000029854875,"about_ca_topic_score_gemma":3.574429e-8,"teacher_disagreement_score":0.5942229,"about_ca_system_score_codex":0.00003619446,"about_ca_system_score_gemma":0.000116544805,"threshold_uncertainty_score":0.9839027},"labels":[],"label_agreement":null},{"id":"W4391127454","doi":"10.61091/jcmcc118-15","title":"Recent Development of Lens Array Fabrication: A Review","year":2023,"lang":"en","type":"review","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced optical system design","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lens (geology); Fabrication; Mathematics; Development (topology); Optics; Mathematical analysis; Physics; Medicine","score_opus":0.05741592719055869,"score_gpt":0.30766111604909546,"score_spread":0.25024518885853675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127454","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012302058,0.9773765,0.007948766,0.000008995703,0.013153485,0.00085978373,0.000004452066,0.00009671491,0.0005389711],"genre_scores_gemma":[0.000042999927,0.98715323,0.011549224,0.0000034552813,0.0010879,0.000013574756,0.000006255844,0.00013842246,0.000004907061],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99441576,0.00014941025,0.003971979,0.00023356166,0.00085169845,0.00037760436],"domain_scores_gemma":[0.9950991,0.0011862182,0.0023834384,0.00037468298,0.00076091767,0.00019564253],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002232701,0.0005894034,0.003938179,0.0002893763,0.00011351003,0.00006130609,0.0006029623,0.00032382348,0.000009012417],"category_scores_gemma":[0.0009105809,0.0004929215,0.00045201863,0.00085202185,0.000053522544,0.00012869785,0.00014049784,0.000763594,0.00001680559],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007113586,0.00027251907,2.8650985e-7,0.2549447,0.0010434833,0.000023384066,0.0003947067,0.000030752126,0.0000088414645,0.070455804,0.0012023338,0.6716161],"study_design_scores_gemma":[0.00074148213,0.00015269987,1.9434106e-7,0.15200604,0.0008988862,0.00010030053,0.000029849763,0.000111610534,0.000027219863,0.017816063,0.8275525,0.0005631502],"about_ca_topic_score_codex":1.9257334e-7,"about_ca_topic_score_gemma":5.1948934e-8,"teacher_disagreement_score":0.82635015,"about_ca_system_score_codex":0.00032041658,"about_ca_system_score_gemma":0.00039110344,"threshold_uncertainty_score":0.9997522},"labels":[],"label_agreement":null},{"id":"W4391127461","doi":"10.61091/jcmcc118-07","title":"Deep Attention Network with Clustering Design for Recommendation System","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Mathematics; Computer science; Artificial intelligence; Statistics","score_opus":0.02953178180331124,"score_gpt":0.2640341464859492,"score_spread":0.23450236468263796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127461","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007408488,0.000045019886,0.9798624,0.00022856572,0.011402045,0.0005889688,4.1601447e-7,0.00024922405,0.00021489956],"genre_scores_gemma":[0.80123127,0.000014726166,0.19732934,0.000012132824,0.0013576519,0.000015516085,0.0000021418641,0.000033222885,0.0000040048903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99777603,0.00016847461,0.0010047356,0.0002539562,0.0004010812,0.00039569224],"domain_scores_gemma":[0.99695194,0.00090630446,0.0012285037,0.00025307992,0.000525,0.00013514685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037614743,0.00024689842,0.00062643335,0.00023380251,0.00041734177,0.00048621473,0.00053569616,0.00012755026,4.847463e-7],"category_scores_gemma":[0.00009687049,0.00020189275,0.00013600306,0.0005912121,0.00002256466,0.00045060317,0.00024754484,0.00022584814,0.0000015580321],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009824784,0.0001350621,0.000092499795,0.0005963548,0.00017034597,0.000020213716,0.0007859613,0.0017941463,0.000114308874,0.9819392,0.0015370422,0.012716629],"study_design_scores_gemma":[0.0032459807,0.0015411733,0.000062084575,0.00088376325,0.000061512386,0.00023487082,0.0003550331,0.79107165,0.0001725612,0.20112987,0.0009098472,0.00033165232],"about_ca_topic_score_codex":0.0000037992038,"about_ca_topic_score_gemma":3.7283675e-7,"teacher_disagreement_score":0.79382277,"about_ca_system_score_codex":0.000119462326,"about_ca_system_score_gemma":0.00007601104,"threshold_uncertainty_score":0.82329476},"labels":[],"label_agreement":null},{"id":"W4391127467","doi":"10.61091/jcmcc118-06","title":"Design of Brand Culture Mental Model Based on Human-Computer Interaction in Artistic Visual Expression","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Expression (computer science); Mental model; Mental image; Human–computer interaction; Mathematics; Advertising; Aesthetics; Computer science; Multimedia; Art; Computer graphics (images); Psychology; Business; Cognitive science; Neuroscience","score_opus":0.03617334131441141,"score_gpt":0.3241398938081861,"score_spread":0.2879665524937747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63717735,0.00001816735,0.35455045,0.000062500054,0.0077019287,0.0002806988,0.0000010032143,0.000053984808,0.00015390008],"genre_scores_gemma":[0.9877795,0.000006933164,0.011837645,0.000018752271,0.0003307745,0.000002202017,0.0000017851172,0.00001815532,0.000004281116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976412,0.00012408676,0.0009769117,0.00024066344,0.00073568133,0.00028143104],"domain_scores_gemma":[0.9981509,0.0005725314,0.0007317532,0.00019112269,0.00021550784,0.00013820647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011422761,0.00024114967,0.00057995727,0.00034896607,0.00013416294,0.00020788673,0.0004742771,0.00012039732,0.0000012442989],"category_scores_gemma":[0.00010940142,0.00020170894,0.00011647562,0.0005027916,0.00004608834,0.00045139925,0.00024217503,0.00035760325,0.0000031616787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010451712,0.008023343,0.00039334525,0.0012368786,0.00018187908,0.00031527103,0.024153313,0.100071646,0.057628673,0.78671944,0.0026374385,0.01759359],"study_design_scores_gemma":[0.003202683,0.0016803934,0.00004577873,0.0010615016,0.000011868258,0.000013572306,0.00008027393,0.85596436,0.005051051,0.13269302,0.000015272904,0.00018023065],"about_ca_topic_score_codex":0.0000012202145,"about_ca_topic_score_gemma":4.304044e-8,"teacher_disagreement_score":0.7558927,"about_ca_system_score_codex":0.000071852555,"about_ca_system_score_gemma":0.00008877339,"threshold_uncertainty_score":0.8225452},"labels":[],"label_agreement":null},{"id":"W4391127478","doi":"10.61091/jcmcc118-08","title":"Emotion Regulation in Depression of Physical Achievement Based on Machine Learning","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Depression (economics); Psychology; Cognitive psychology; Mathematics; Artificial intelligence; Mathematics education; Computer science; Economics; Keynesian economics","score_opus":0.02450482756633208,"score_gpt":0.27193869111859503,"score_spread":0.24743386355226296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994907,0.000012275136,0.0009032558,0.00028904725,0.0033191128,0.00018521704,0.0000012517673,0.000034834466,0.00034798656],"genre_scores_gemma":[0.99935853,0.00000630168,0.00017320004,0.000026659067,0.00040955184,0.0000014983545,0.0000010058442,0.000019245983,0.000004021633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979405,0.00023895137,0.0006240903,0.00021048114,0.00079147314,0.00019452983],"domain_scores_gemma":[0.99312097,0.0057872515,0.00075490394,0.00012480126,0.0001547918,0.000057276033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014026475,0.00017096735,0.00047641696,0.00039186634,0.00018724703,0.000041807907,0.00015757275,0.000067743276,0.0000019635825],"category_scores_gemma":[0.0059530335,0.0001485391,0.00011617935,0.0006087721,0.000056744226,0.00012402101,0.00013275327,0.0004089368,0.0000021165001],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012875637,0.0040884176,0.010205951,0.0007041091,0.000056917448,0.00006093161,0.0040725432,0.078815065,0.14647931,0.7466478,0.00021873855,0.0073626977],"study_design_scores_gemma":[0.0063298387,0.0022930424,0.0059507517,0.00086440437,0.000034284767,0.000011102147,0.00019561105,0.67033464,0.049382914,0.26415485,0.00019756121,0.00025100948],"about_ca_topic_score_codex":0.000004968166,"about_ca_topic_score_gemma":2.3635175e-7,"teacher_disagreement_score":0.59151953,"about_ca_system_score_codex":0.00007957597,"about_ca_system_score_gemma":0.00005388732,"threshold_uncertainty_score":0.7126767},"labels":[],"label_agreement":null},{"id":"W4391127480","doi":"10.61091/jcmcc118-13","title":"Evaluation and Implementation of Landscape Aesthetics Based on Cloud and Edge Computing","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Aesthetics; Enhanced Data Rates for GSM Evolution; Mathematics; Computer graphics (images); Computer science; Computer vision; Art","score_opus":0.015548414147800737,"score_gpt":0.27697856786254593,"score_spread":0.2614301537147452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967094,0.000060003524,0.00016760163,0.00009457054,0.0024140314,0.00022694402,0.0000017533579,0.000015152938,0.00031053962],"genre_scores_gemma":[0.99920374,0.000031397572,0.00042655566,0.000015382257,0.00030496463,8.141817e-7,0.0000021614476,0.000014626995,3.2920667e-7],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981311,0.00012776822,0.0006515911,0.0001589099,0.00074199133,0.00018864531],"domain_scores_gemma":[0.9985538,0.0003980787,0.0007097543,0.000114236514,0.0001200145,0.0001041209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032046344,0.00015566911,0.00039527888,0.00011470441,0.00018808847,0.0000857802,0.00012602551,0.00007671666,0.000018423403],"category_scores_gemma":[0.00009484036,0.00012809323,0.000049249527,0.00025753913,0.0000312421,0.00011256181,0.00016378636,0.00014015785,0.0000020374189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006548182,0.0027445336,0.5048104,0.004300775,0.0007260677,0.00012229757,0.03057378,0.030984925,0.0042008096,0.2411368,0.0026400727,0.17710471],"study_design_scores_gemma":[0.008490779,0.0016949807,0.028218556,0.0005432837,0.00028278097,0.000053451462,0.0016940974,0.86028636,0.0006767977,0.09751293,0.00019516943,0.0003508242],"about_ca_topic_score_codex":0.000022122586,"about_ca_topic_score_gemma":0.00000352308,"teacher_disagreement_score":0.8293014,"about_ca_system_score_codex":0.000041036907,"about_ca_system_score_gemma":0.00003569628,"threshold_uncertainty_score":0.522349},"labels":[],"label_agreement":null},{"id":"W4391127488","doi":"10.61091/jcmcc118-05","title":"Green City Environmental Monitoring and Landscape Planning and Design Based on Communication Technology and IoT","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internet of Things; Architectural engineering; Business; Computer science; Environmental planning; Environmental resource management; Geography; Environmental science; Engineering; Embedded system","score_opus":0.0224186652961342,"score_gpt":0.2646637591113745,"score_spread":0.24224509381524031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9118805,0.0008322052,0.08436331,0.0006539549,0.0017789258,0.00022796977,7.557311e-7,0.0001903614,0.000072049676],"genre_scores_gemma":[0.9427848,0.00012773731,0.056933038,0.0000114587,0.00012257697,0.0000025687984,2.8009688e-7,0.00001580625,0.0000017730096],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99856806,0.00008031646,0.0004945533,0.0002558046,0.0003378424,0.00026339997],"domain_scores_gemma":[0.99779576,0.0011965953,0.00049514434,0.00035195387,0.000059635022,0.000100906116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010889802,0.00022083019,0.00043132983,0.0004944004,0.00041103162,0.00018555818,0.00051608996,0.00023620382,3.662334e-7],"category_scores_gemma":[0.0003117601,0.00020702239,0.000030912393,0.00041533084,0.0001749136,0.00017499865,0.0008976827,0.0006004704,3.6226928e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121535435,0.0003484724,0.021447947,0.0002197345,0.00011906833,0.0001264011,0.0029126194,0.0008490968,0.0017358795,0.91998345,0.00007341826,0.052062366],"study_design_scores_gemma":[0.0028029724,0.0011239718,0.0018154556,0.0004371107,0.000030868363,0.00013948663,0.0005586482,0.15877227,0.0015509342,0.8323784,0.00008824514,0.0003016309],"about_ca_topic_score_codex":0.0000016869965,"about_ca_topic_score_gemma":2.6989607e-8,"teacher_disagreement_score":0.15792318,"about_ca_system_score_codex":0.00004074143,"about_ca_system_score_gemma":0.000029373972,"threshold_uncertainty_score":0.84421283},"labels":[],"label_agreement":null},{"id":"W4391127490","doi":"10.61091/jcmcc118-09","title":"English Teaching Project Quality Evaluation Based on Deep Decision-Making and Rule Association Analysis","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Association rule learning; Quality (philosophy); Mathematics; Association (psychology); Computer science; Artificial intelligence; Natural language processing; Mathematics education; Psychology; Philosophy","score_opus":0.032301403623542085,"score_gpt":0.3684228476352388,"score_spread":0.33612144401169675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9213561,0.00008033349,0.06732233,0.00035231063,0.009614718,0.0002716547,0.0000018021414,0.00013210246,0.00086863944],"genre_scores_gemma":[0.9778086,0.000010057078,0.021474242,0.000044273096,0.00064166676,0.000004217792,0.0000028934874,0.000011789542,0.000002289836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99674034,0.0004798201,0.0009459646,0.00030220355,0.0012476248,0.00028406671],"domain_scores_gemma":[0.9914565,0.0058237547,0.0013462334,0.0003146234,0.0009782726,0.000080591024],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.011332786,0.00020418612,0.00058821985,0.0009018741,0.00048691325,0.00035622355,0.0005054521,0.00022629622,0.0000029547175],"category_scores_gemma":[0.008423374,0.000189545,0.00017198356,0.0012320097,0.00003274367,0.00031804724,0.00021998033,0.00060841686,0.0000017979885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054089556,0.00046530116,0.008939914,0.00007429356,0.0003336482,0.000006836732,0.0041567786,0.0018473144,0.00003466835,0.9538995,0.0002970994,0.029890569],"study_design_scores_gemma":[0.0015458305,0.00026408074,0.0073980116,0.00016662496,0.00021942632,0.000004698784,0.00040211852,0.40471584,0.000026061924,0.5849044,0.00015108952,0.00020185126],"about_ca_topic_score_codex":0.0000069923185,"about_ca_topic_score_gemma":0.0000013049446,"teacher_disagreement_score":0.4028685,"about_ca_system_score_codex":0.00022592393,"about_ca_system_score_gemma":0.00027400246,"threshold_uncertainty_score":0.9999291},"labels":[],"label_agreement":null},{"id":"W4391127493","doi":"10.61091/jcmcc118-03","title":"Optimizing English Education in the Information Era: A Multimodal Approach Based on BOPPPS Teaching Model","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Mathematics education","score_opus":0.022651189855391527,"score_gpt":0.32235359766611266,"score_spread":0.2997024078107211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85747147,0.00004373275,0.038039252,0.0038591763,0.024706775,0.0018411382,0.000005979144,0.00027750025,0.073754966],"genre_scores_gemma":[0.962248,0.000007625706,0.035842337,0.00018335364,0.0016768904,0.0000124526005,0.000007851551,0.000014426654,0.0000070576907],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973442,0.00037423774,0.0008482502,0.00012417044,0.0010153088,0.00029386263],"domain_scores_gemma":[0.9968543,0.0010971515,0.0007737893,0.00016313221,0.0010374148,0.00007417949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008176851,0.00017626653,0.00032294338,0.00054991525,0.0006919483,0.0003907297,0.00049478235,0.00014782573,0.0000013887483],"category_scores_gemma":[0.0038173138,0.00013265281,0.00009227642,0.0007401215,0.000092625436,0.0006122225,0.000060893264,0.0009302839,0.00000142936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027834889,0.0005589327,0.00007104918,0.000056507175,0.000009106772,7.6607205e-7,0.045417868,0.0027291141,0.000009929917,0.94566154,0.0016659782,0.0037913504],"study_design_scores_gemma":[0.0019740977,0.000348102,0.00023539705,0.00047929634,0.000030305535,0.0000039606207,0.03677335,0.340163,0.000038835315,0.6154223,0.0041951155,0.00033624723],"about_ca_topic_score_codex":0.00005061737,"about_ca_topic_score_gemma":6.8809385e-7,"teacher_disagreement_score":0.3374339,"about_ca_system_score_codex":0.00023581334,"about_ca_system_score_gemma":0.0012705547,"threshold_uncertainty_score":0.5409425},"labels":[],"label_agreement":null},{"id":"W4391127497","doi":"10.61091/jcmcc118-12","title":"Enhancing Multimode Fibre Optic Communication through Deep Learning-based Mode Identification","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multi-mode optical fiber; Identification (biology); Mode (computer interface); Optical fiber; Mathematics; Artificial intelligence; Computer science; Telecommunications; Human–computer interaction; Biology; Botany","score_opus":0.013181614515890828,"score_gpt":0.26413323389480126,"score_spread":0.2509516193789104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8813266,0.00039178846,0.11074822,0.000065603446,0.006534453,0.00027159438,0.0000014408483,0.0003794167,0.0002808926],"genre_scores_gemma":[0.9740077,0.00011408198,0.025341451,0.0000056206673,0.0004294013,0.0000039793595,0.000008938706,0.0000822555,0.000006549225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975723,0.000107685664,0.0012217261,0.00017921801,0.0005525024,0.00036657098],"domain_scores_gemma":[0.997348,0.0011142102,0.00066793506,0.00034552586,0.00040053375,0.00012378505],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010362228,0.00029310392,0.0005941785,0.00022802607,0.00032168944,0.00018197806,0.00039680436,0.00018556279,0.000004041939],"category_scores_gemma":[0.00061087403,0.00030663912,0.00014828374,0.00055520795,0.00007193131,0.0003581278,0.00010811598,0.00069222524,0.000015273856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000700227,0.00025332975,0.00007370676,0.0007984631,0.00021430089,0.00003341959,0.0077051953,0.8071947,0.013246789,0.16795522,0.00013168811,0.0023231308],"study_design_scores_gemma":[0.0021969208,0.00015695825,0.00006306521,0.00039507923,0.00007588218,0.000029924198,0.0008498494,0.8448572,0.007311488,0.14355488,0.00019170386,0.0003170217],"about_ca_topic_score_codex":0.000004939789,"about_ca_topic_score_gemma":6.32188e-7,"teacher_disagreement_score":0.092681125,"about_ca_system_score_codex":0.00015402016,"about_ca_system_score_gemma":0.000043935932,"threshold_uncertainty_score":0.99993855},"labels":[],"label_agreement":null},{"id":"W4391127505","doi":"10.61091/jcmcc118-10","title":"Deep Learning Techniques for Spatiotemporal Weighted Pose Taekwondo Features and Their Application in Tactical Analysis","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer vision; Deep learning; Computer science","score_opus":0.011953465758879586,"score_gpt":0.2695726436290219,"score_spread":0.2576191778701423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5095313,0.00012720664,0.48720223,0.00035261665,0.0020732344,0.00042913714,0.000001133821,0.00014345444,0.00013966252],"genre_scores_gemma":[0.9856068,0.0000533398,0.013745613,0.000017038006,0.00054326747,0.00000845759,0.000006254299,0.00001504385,0.000004192244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984024,0.000112460446,0.0007147139,0.00024137356,0.00028428962,0.00024475678],"domain_scores_gemma":[0.9978598,0.00086064934,0.0006751978,0.00015258907,0.00034034922,0.0001114562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001548215,0.00019406798,0.000556463,0.00069948484,0.0002525024,0.00031784538,0.00028055222,0.00014779113,9.594665e-7],"category_scores_gemma":[0.000247123,0.00016576589,0.00015253409,0.0010370086,0.000039751434,0.0003635082,0.0001601276,0.00038705903,8.202004e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011303025,0.00051817787,0.0013819715,0.00024046499,0.00039274196,0.000019391775,0.0043352204,0.00009295008,0.0018314399,0.9090266,0.00014166815,0.08190634],"study_design_scores_gemma":[0.0020047147,0.0005519977,0.0012453557,0.000111957816,0.00011387788,0.000047994505,0.00036389663,0.31246334,0.0031431902,0.6791394,0.0005390924,0.00027519997],"about_ca_topic_score_codex":0.000010158321,"about_ca_topic_score_gemma":0.0000022650654,"teacher_disagreement_score":0.47607547,"about_ca_system_score_codex":0.000049845767,"about_ca_system_score_gemma":0.000042690488,"threshold_uncertainty_score":0.67597365},"labels":[],"label_agreement":null},{"id":"W4391127583","doi":"10.61091/jcmcc117-20","title":"Research on the Application Effect of Metalearning Method Based on Prototype Network in Corrective Measures for Member State Audit","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Computer science; Generalization; Artificial intelligence; Machine learning; Accounting; Mathematics","score_opus":0.047152702311887,"score_gpt":0.3517737079399025,"score_spread":0.3046210056280155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98781806,0.0000078789035,0.0076182606,0.00019337547,0.002075815,0.0014378959,0.0000010792932,0.000024520483,0.0008231344],"genre_scores_gemma":[0.99765646,0.0000018033674,0.0019735503,0.000015804659,0.0002789543,0.00004160439,7.0626464e-7,0.00002595143,0.00000514961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966104,0.0010869949,0.0006751231,0.00023982931,0.0010004471,0.00038718476],"domain_scores_gemma":[0.9875752,0.011322417,0.00066750497,0.00020842717,0.00014724574,0.00007925722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019524967,0.0001875416,0.00055376324,0.00015731691,0.00032687272,0.0000602782,0.00036014387,0.0001093743,0.000008831447],"category_scores_gemma":[0.0031053952,0.00012092675,0.00012936245,0.0010359907,0.00014286817,0.000049796126,0.00016379358,0.00071647984,0.000008151041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026588996,0.00057519606,0.0017797372,0.00022782623,0.000088076325,0.000011924533,0.0011390768,0.89373976,0.0013518985,0.08346183,0.00091515074,0.014050632],"study_design_scores_gemma":[0.0026134134,0.0058162822,0.00052477804,0.0004711342,0.00003849381,0.000004353626,0.00005175483,0.6616203,0.0026781587,0.32549497,0.000520997,0.00016532945],"about_ca_topic_score_codex":0.000021449967,"about_ca_topic_score_gemma":0.0000011639249,"teacher_disagreement_score":0.24203315,"about_ca_system_score_codex":0.0001580843,"about_ca_system_score_gemma":0.00004104072,"threshold_uncertainty_score":0.6767003},"labels":[],"label_agreement":null},{"id":"W4391127604","doi":"10.61091/jcmcc117-19","title":"Perfect Matching and Zero-Sum 3-Magic Labeling","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Combinatorics; Mathematics; Vertex (graph theory); MAGIC (telescope); Graph; Conjecture; Abelian group; Discrete mathematics; Physics","score_opus":0.015650891564612083,"score_gpt":0.2501830057876979,"score_spread":0.23453211422308584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9663282,0.00067082664,0.018491548,0.0004908036,0.013283358,0.00018285122,7.1688885e-7,0.00021125519,0.00034043164],"genre_scores_gemma":[0.9796022,0.00012724574,0.019952895,0.000049955554,0.00022449727,9.078997e-7,6.0645806e-7,0.000030356547,0.000011327178],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972765,0.00013574949,0.0010484732,0.00033398962,0.0007370282,0.00046827004],"domain_scores_gemma":[0.99721366,0.00094089017,0.0007950862,0.00033371174,0.00043728654,0.00027934092],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032131316,0.00030576094,0.0007008871,0.00043879758,0.0004631761,0.00062787806,0.000627653,0.00014827173,0.0000014494854],"category_scores_gemma":[0.0003956611,0.0002662036,0.00014610217,0.000814612,0.0000892284,0.00044282622,0.000689259,0.00054467446,0.000009923237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000130642975,0.00012610506,0.00013283378,0.00015494392,0.0000625374,0.00005299557,0.0020505069,0.00014093872,0.0023259425,0.9921462,0.00026376874,0.00253017],"study_design_scores_gemma":[0.002381689,0.0004240972,0.00006850061,0.00040345415,0.00004398095,0.00020763415,0.00019479857,0.02889492,0.0004432168,0.9664237,0.00021869567,0.00029529884],"about_ca_topic_score_codex":0.000011045817,"about_ca_topic_score_gemma":1.2110948e-7,"teacher_disagreement_score":0.028753981,"about_ca_system_score_codex":0.00003444537,"about_ca_system_score_gemma":0.000103462364,"threshold_uncertainty_score":0.999979},"labels":[],"label_agreement":null},{"id":"W4391127691","doi":"10.61091/jcmcc117-15","title":"Block Structured Hadamard matrices from certain arrays","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hadamard transform; Block (permutation group theory); Mathematics; Hadamard matrix; Complex Hadamard matrix; Combinatorics; Column (typography); Arithmetic; Discrete mathematics; Geometry","score_opus":0.009221665411444858,"score_gpt":0.21659174214408744,"score_spread":0.20737007673264257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709799,0.00054195203,0.00075015746,0.000034933884,0.026556443,0.0001804998,0.000008815365,0.00023855355,0.00070873497],"genre_scores_gemma":[0.99681455,0.00008155058,0.0008643489,0.0000064839637,0.0021611562,0.0000017147713,0.0000038258663,0.000061025043,0.0000053711165],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976587,0.00009916757,0.0010835879,0.00017553575,0.0005913743,0.0003916102],"domain_scores_gemma":[0.998092,0.00074888306,0.0004901819,0.00024916118,0.00020867473,0.00021111996],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010790532,0.0003307857,0.00080229924,0.00030544482,0.00021424356,0.00023785162,0.00043486847,0.0002115801,0.000010515078],"category_scores_gemma":[0.0001723874,0.00029885734,0.00021228874,0.0006006387,0.00005324459,0.00017975054,0.00010984298,0.000489979,0.000012645352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021401145,0.00034030582,0.000895877,0.0012202854,0.0013322207,0.00028149324,0.009296824,0.009627537,0.020061655,0.9445715,0.007776914,0.004381393],"study_design_scores_gemma":[0.003598174,0.0002877875,0.00027288854,0.00051170087,0.00015786011,0.00008600103,0.0013848267,0.033953827,0.003176495,0.9534973,0.0025415916,0.0005315809],"about_ca_topic_score_codex":0.000008978814,"about_ca_topic_score_gemma":5.1455885e-7,"teacher_disagreement_score":0.025834614,"about_ca_system_score_codex":0.000056650468,"about_ca_system_score_gemma":0.000040520765,"threshold_uncertainty_score":0.99994636},"labels":[],"label_agreement":null},{"id":"W4391127761","doi":"10.61091/jcmcc117-14","title":"Credit rating algorithm of corporate bonds based on Gaussian process mixture model and improved K-means","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Treasury; Computer science; Credit rating; Data mining; Credit risk; Term (time); Econometrics; Algorithm; Artificial intelligence; Finance; Economics","score_opus":0.01978496764778906,"score_gpt":0.2802448794000178,"score_spread":0.2604599117522287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5880737,0.00017259609,0.39494926,0.0017731267,0.013272232,0.00082316477,0.000012944377,0.00029887073,0.000624114],"genre_scores_gemma":[0.9372733,0.0000109029825,0.061927423,0.000054245967,0.0006816049,0.000003137746,0.000002319305,0.00004044128,0.000006612059],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99669075,0.00019378045,0.0013197027,0.00037940012,0.0009653744,0.00045101382],"domain_scores_gemma":[0.9951192,0.0009844801,0.0023817164,0.0004125372,0.0008101224,0.00029190845],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027527513,0.00036190226,0.0008923639,0.00044010056,0.00035596712,0.00027527747,0.00079017977,0.00022342168,0.0000013188799],"category_scores_gemma":[0.00084199716,0.00031755923,0.00012463555,0.000890346,0.00009779132,0.00029656585,0.00031411278,0.0008832169,7.563506e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017059686,0.00084350427,0.0007977366,0.0025397453,0.00014637849,0.00014266475,0.0067770155,0.03809814,0.0013086377,0.9293937,0.000413299,0.01936855],"study_design_scores_gemma":[0.0020571954,0.0010150254,0.000081456485,0.0004879592,0.000024767332,0.000033139426,0.00011018752,0.7376403,0.00025183064,0.25806853,0.000015809434,0.00021374435],"about_ca_topic_score_codex":0.000006746837,"about_ca_topic_score_gemma":2.4875632e-7,"teacher_disagreement_score":0.6995422,"about_ca_system_score_codex":0.00005840127,"about_ca_system_score_gemma":0.00040652926,"threshold_uncertainty_score":0.99992764},"labels":[],"label_agreement":null},{"id":"W4391127822","doi":"10.61091/jcmcc117-07","title":"Equipment Asset Management and Equipment Health Based on Fuzzy Algorithm Evaluation Model","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Asset management; Algorithm; Mathematics; Computer science; Business; Artificial intelligence; Finance","score_opus":0.01855171572832239,"score_gpt":0.2717161077479521,"score_spread":0.2531643920196297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7925007,0.0015294179,0.16124244,0.0007321306,0.038598385,0.0022232432,0.000027290338,0.00056009804,0.002586314],"genre_scores_gemma":[0.9828921,0.00031767346,0.01626404,0.000021461012,0.00043923492,0.000007936645,0.0000069312905,0.000047510308,0.0000030959068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764854,0.000058094876,0.0008342364,0.00019064716,0.00090746727,0.0003609979],"domain_scores_gemma":[0.99869007,0.0004080623,0.00027000677,0.00021242931,0.00019749788,0.00022191784],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029563294,0.0002707298,0.00052213523,0.00029075917,0.00016447621,0.00013203334,0.00017330378,0.00010223765,0.0000018398358],"category_scores_gemma":[0.00012153573,0.00024916776,0.00009377904,0.00028578404,0.00003129547,0.00007208624,0.000116938194,0.0003332305,0.00000228585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025108733,0.00039346737,0.00005252744,0.0012867029,0.00020199624,0.000024070208,0.0005671669,0.7884016,0.000050373223,0.16128018,0.0016945959,0.046022233],"study_design_scores_gemma":[0.0022808872,0.00048483914,0.00014161153,0.00045256998,0.000058477202,0.000005532462,0.00006685197,0.84410125,0.00005293261,0.15197648,0.00018173945,0.00019682298],"about_ca_topic_score_codex":0.0000014131031,"about_ca_topic_score_gemma":7.007892e-8,"teacher_disagreement_score":0.19039144,"about_ca_system_score_codex":0.0002536687,"about_ca_system_score_gemma":0.000077617005,"threshold_uncertainty_score":0.99999607},"labels":[],"label_agreement":null},{"id":"W4391127827","doi":"10.61091/jcmcc117-16","title":"The-proper-Ramsey-numbers-of- K 3 -against- C 3 -and- C 5","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Limits and Structures in Graph Theory","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ramsey's theorem; Combinatorics; Mathematics; Integer (computer science); Monochrome; Edge coloring; Colored; Enhanced Data Rates for GSM Evolution; Discrete mathematics; Computer science; Graph; Artificial intelligence; Materials science","score_opus":0.025012369607757236,"score_gpt":0.28652470680195313,"score_spread":0.2615123371941959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845567,0.00041659875,0.00037753736,0.00017955383,0.012620925,0.00026196422,0.0000021818487,0.00005771385,0.0015268435],"genre_scores_gemma":[0.9960855,0.0003036706,0.0025613846,0.000014536762,0.0009556683,0.0000016528327,4.6722198e-7,0.00004766989,0.000029427885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970485,0.00018592611,0.0014096417,0.0001901619,0.0007647455,0.0004010263],"domain_scores_gemma":[0.99382854,0.0037673337,0.0013465341,0.00035030357,0.00053412415,0.00017315648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003791156,0.00029608633,0.0008282888,0.00019391908,0.00079425034,0.00016048855,0.0005379005,0.00017971193,0.0000025889503],"category_scores_gemma":[0.0021261284,0.00019556911,0.00023472156,0.00045316495,0.00039511782,0.00013110001,0.00054664176,0.0005321653,0.000001175495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007957613,0.0001004496,0.0001593444,0.0002603799,0.00016774348,0.000016410238,0.0023717491,0.0000044238573,0.0002644829,0.9917896,0.0007364321,0.004049441],"study_design_scores_gemma":[0.0020995403,0.00036459544,0.00008453064,0.000303824,0.000105674844,0.000068600486,0.0010382966,0.0012914869,0.0005425075,0.99239486,0.0014849635,0.00022111143],"about_ca_topic_score_codex":0.0000026900266,"about_ca_topic_score_gemma":2.5123552e-7,"teacher_disagreement_score":0.011665257,"about_ca_system_score_codex":0.000032973865,"about_ca_system_score_gemma":0.000082017395,"threshold_uncertainty_score":0.7975077},"labels":[],"label_agreement":null},{"id":"W4391127838","doi":"10.61091/jcmcc117-10","title":"Forecasting the broadcast volume of cultural communication assisted by short video technology and analyzing the influencing factors","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Government of Jiangsu Province","keywords":"Computer science; Random forest; Volume (thermodynamics); Construct (python library); Feature (linguistics); Promotion (chess); Selection (genetic algorithm); Feature selection; Multimedia; Artificial intelligence; Machine learning","score_opus":0.026917368554557793,"score_gpt":0.28860562046138694,"score_spread":0.26168825190682915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994745,0.0005680332,0.000059666934,0.00089600164,0.0023473548,0.00020573758,0.0000021773287,0.0000450812,0.0011309439],"genre_scores_gemma":[0.99925894,0.00017811143,0.00016699848,0.0000074644704,0.00035082074,0.0000018078641,0.0000015182541,0.000016342212,0.00001801885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997737,0.00035763087,0.00085024897,0.00013009118,0.0006011785,0.0003238805],"domain_scores_gemma":[0.995512,0.002687913,0.00090494385,0.00019321124,0.0005982349,0.00010368245],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0045755263,0.00017409671,0.00048455055,0.00018279026,0.0013895971,0.00035723418,0.00060279167,0.000170253,0.0000015123534],"category_scores_gemma":[0.004918471,0.000112582515,0.00011828471,0.0011669998,0.0006910722,0.00025601898,0.00031162574,0.000522076,3.284853e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009602836,0.0003669854,0.051969964,0.00029497955,0.00051794987,0.000011092126,0.14671145,0.000047409812,0.0011668217,0.7289217,0.003096237,0.06679938],"study_design_scores_gemma":[0.00321798,0.0008245592,0.0059793224,0.002158701,0.00052887877,0.00006123998,0.27084523,0.009307237,0.00051795173,0.6905954,0.015065941,0.00089753745],"about_ca_topic_score_codex":0.00011125405,"about_ca_topic_score_gemma":0.000005503529,"teacher_disagreement_score":0.12413379,"about_ca_system_score_codex":0.000074095675,"about_ca_system_score_gemma":0.0001162701,"threshold_uncertainty_score":0.9999105},"labels":[],"label_agreement":null},{"id":"W4391127840","doi":"10.61091/jcmcc117-11","title":"Blockchain technique for fair competition evaluation","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bottleneck; Blockchain; Competition (biology); Computer security; Database transaction; Order (exchange); Scheme (mathematics); Industrial organization; Transaction cost; Corporate governance; Process (computing); Business; Computer science; Economics; Operations management; Finance","score_opus":0.019004230601266107,"score_gpt":0.2822137284004714,"score_spread":0.26320949779920527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127840","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16068873,0.00014216053,0.8296981,0.0011934598,0.006421322,0.0013179373,0.0000030169724,0.0002563024,0.0002789787],"genre_scores_gemma":[0.9520884,0.000013823635,0.047275264,0.000020500695,0.00052249664,0.000055358494,0.0000026948915,0.000018693132,0.0000027662293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978597,0.000105089224,0.0008615695,0.00026196815,0.00060351123,0.00030813427],"domain_scores_gemma":[0.99689543,0.000766458,0.0008321792,0.00038013625,0.0010171065,0.0001087126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049636527,0.00020452945,0.0004825413,0.00041685934,0.00038803872,0.00015880307,0.00078481546,0.00022873806,0.000001743893],"category_scores_gemma":[0.00054480345,0.00019476599,0.00015545166,0.0008371912,0.00007490425,0.00013611969,0.00030637503,0.00033903282,0.0000029874725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010768711,0.00019042389,0.000012271748,0.000077127035,0.00003574861,0.0000030457102,0.00045537564,0.000066454086,0.0020151644,0.99289876,0.00032161933,0.0039132363],"study_design_scores_gemma":[0.0018987836,0.00038662646,0.000031600848,0.00010653147,0.000038740138,0.00005910956,0.000116659525,0.1583373,0.004391838,0.8337777,0.0006808777,0.00017418152],"about_ca_topic_score_codex":0.0000020998966,"about_ca_topic_score_gemma":1.983933e-7,"teacher_disagreement_score":0.79139966,"about_ca_system_score_codex":0.00008687302,"about_ca_system_score_gemma":0.00015837044,"threshold_uncertainty_score":0.79423267},"labels":[],"label_agreement":null},{"id":"W4391127843","doi":"10.61091/jcmcc117-13","title":"Construction and analysis of a business English classroom teaching quality evaluation system based on multimodal neural network model assessment","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Computer science; Reliability (semiconductor); Quality (philosophy); Business English; Cluster analysis; Correlation; Evaluation methods; Artificial intelligence; Data mining; Machine learning; Reliability engineering; Mathematics education; Mathematics; Engineering","score_opus":0.03779865553068154,"score_gpt":0.34360506587913675,"score_spread":0.30580641034845524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8221829,0.00003188336,0.16785415,0.00018407489,0.009191997,0.0002058574,0.0000029598348,0.0000836775,0.00026252124],"genre_scores_gemma":[0.9537724,0.0000044166936,0.045743413,0.0000115587245,0.00044784977,0.0000036456165,0.0000057972225,0.000010232487,6.6196077e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99706453,0.00043552186,0.0010893985,0.00027071085,0.0008990796,0.00024073468],"domain_scores_gemma":[0.9953086,0.0015777351,0.0014109638,0.00031760838,0.0012882248,0.000096869684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00630725,0.0002041923,0.0007593148,0.0006094687,0.00034299374,0.00014750967,0.00040415605,0.00018149219,6.757975e-7],"category_scores_gemma":[0.00082954904,0.00018913884,0.00014515601,0.0012627639,0.00008732411,0.00024358557,0.00018424836,0.00049025536,1.6024009e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030072173,0.00019193532,0.003464049,0.00013722017,0.000191868,0.0000019625447,0.0006745124,0.1444579,0.00005107715,0.8467442,0.000026614529,0.004028622],"study_design_scores_gemma":[0.0016222055,0.00017977234,0.011581247,0.00017213465,0.0003098503,0.0000072991807,0.00037527466,0.8660344,0.000014662871,0.11955412,0.000005042994,0.00014398184],"about_ca_topic_score_codex":0.0000100976595,"about_ca_topic_score_gemma":4.1520707e-7,"teacher_disagreement_score":0.72719,"about_ca_system_score_codex":0.0001320136,"about_ca_system_score_gemma":0.00034482178,"threshold_uncertainty_score":0.7712858},"labels":[],"label_agreement":null},{"id":"W4391127846","doi":"10.61091/jcmcc117-03","title":"The Appropriate Scale of Competition Between Online Taxis and Taxis Based on the Lotka-Volterra Evolutionary Model","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Taxis; Competition (biology); Scale (ratio); Mathematics; Computer science; Ecology; Biology; Engineering; Geography; Transport engineering","score_opus":0.06767134950477838,"score_gpt":0.32007598019567224,"score_spread":0.25240463069089386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758204,0.00004348531,0.016963474,0.0020529819,0.004194797,0.00028430088,0.000017675211,0.000027697959,0.00059514237],"genre_scores_gemma":[0.99785715,0.000015642025,0.0013606646,0.000047606372,0.00066829415,0.0000017373992,0.0000035002445,0.000019611456,0.000025802836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995548,0.00028964243,0.0017772028,0.000233508,0.0018691944,0.00028243163],"domain_scores_gemma":[0.9903418,0.006202278,0.0019144661,0.00037233616,0.0010552452,0.00011386637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007926459,0.00022157194,0.00060367375,0.00035038695,0.0008973511,0.0003013878,0.0006871463,0.00012532508,0.000008138663],"category_scores_gemma":[0.0037557355,0.00012439277,0.00017232433,0.0011359043,0.00029577035,0.00014436348,0.00032505335,0.0005016774,0.0000040443924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001804637,0.00039632485,0.0007914783,0.000058225753,0.000057972848,0.000004330572,0.0012428565,0.0022977823,0.0004841044,0.9797372,0.0016629695,0.013086278],"study_design_scores_gemma":[0.0012044224,0.00033176542,0.00076400157,0.00016381155,0.000021420668,0.000006799778,0.00076996704,0.5416483,0.00010447313,0.45456907,0.0003128581,0.00010310185],"about_ca_topic_score_codex":0.0000042080146,"about_ca_topic_score_gemma":4.887875e-7,"teacher_disagreement_score":0.5393505,"about_ca_system_score_codex":0.000043062293,"about_ca_system_score_gemma":0.00014319067,"threshold_uncertainty_score":0.690179},"labels":[],"label_agreement":null},{"id":"W4391127859","doi":"10.61091/jcmcc117-04","title":"Minimizing Emotional Labor through Artificial Intelligence for Effective Labor Management of English Teachers","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Emotional labor; Emotional intelligence; Mathematics; Psychology; Labour economics; Mathematics education; Economics; Management; Social psychology","score_opus":0.04145154477182483,"score_gpt":0.34409143897838484,"score_spread":0.30263989420656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95496696,0.00026287796,0.008793033,0.00014914709,0.03348922,0.0006643183,0.000022174183,0.000052924937,0.0015993413],"genre_scores_gemma":[0.990522,0.00008327302,0.006526886,0.00002451784,0.002751234,0.00001621158,0.0000064207184,0.000036413257,0.000032991673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974112,0.000108824446,0.0013196942,0.00024522925,0.0005392647,0.00037578485],"domain_scores_gemma":[0.996087,0.0013421343,0.0009795532,0.00019752624,0.0012965841,0.0000971589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020374127,0.0002501894,0.00062146405,0.00020813258,0.00021811496,0.0000710153,0.0003749481,0.0001763327,0.000030553518],"category_scores_gemma":[0.0005054719,0.00023406731,0.00022963391,0.00064684404,0.00012858282,0.00019493706,0.00012835124,0.00035820183,0.000011531671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002555899,0.00055829366,0.000190024,0.00040342772,0.00038721724,0.000014035683,0.015977692,0.00019382345,0.00011502225,0.9716707,0.00057746493,0.009656738],"study_design_scores_gemma":[0.001639101,0.0014353899,0.0013925098,0.0009922673,0.00019309364,0.000016404074,0.01314193,0.0022754427,0.0025464648,0.9741221,0.0019004539,0.0003448605],"about_ca_topic_score_codex":0.0000058507458,"about_ca_topic_score_gemma":1.8178652e-7,"teacher_disagreement_score":0.03555509,"about_ca_system_score_codex":0.000061268714,"about_ca_system_score_gemma":0.00005929263,"threshold_uncertainty_score":0.9544988},"labels":[],"label_agreement":null},{"id":"W4391127864","doi":"10.61091/jcmcc117-17","title":"https://combinatorialpress.com/jcmcc-articles/volume-117/gregarious-y_5-tree-decompositions-of-tensor-product-of-complete-graphs/","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Tree (set theory); Mathematics; Decomposition; Product (mathematics); Physics; Chemistry; Geometry","score_opus":0.014530366808617037,"score_gpt":0.22737213290409172,"score_spread":0.21284176609547467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9650376,0.00094088266,0.00170709,0.0000853006,0.03006774,0.00051662675,0.000017540366,0.0002543732,0.0013728862],"genre_scores_gemma":[0.99754226,0.00010331469,0.0012056644,0.0000049165396,0.0010027345,0.000006881338,0.000006800544,0.00011111344,0.000016321224],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99492943,0.0002730548,0.0026641893,0.0003493264,0.0011016636,0.0006823342],"domain_scores_gemma":[0.99572617,0.0009910872,0.0014084397,0.0006416865,0.00091102236,0.00032161278],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026675046,0.000572037,0.0017647289,0.00083181716,0.00030938594,0.00015602779,0.0008492204,0.00028254613,0.000019512028],"category_scores_gemma":[0.0004126512,0.00056290155,0.00056350336,0.0015866932,0.00027733695,0.00035688965,0.00026176465,0.0007625899,0.000016563949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019731325,0.0007667807,0.0012728984,0.0017070087,0.00073482085,0.000060430495,0.0027104823,0.0019556982,0.025322061,0.96120703,0.0017761937,0.0022893026],"study_design_scores_gemma":[0.0071776533,0.0011512246,0.00055318174,0.0013195364,0.00040667164,0.00015313725,0.0010397603,0.027872093,0.016871344,0.94064015,0.0019360139,0.00087925524],"about_ca_topic_score_codex":0.000017602186,"about_ca_topic_score_gemma":6.116808e-7,"teacher_disagreement_score":0.032504693,"about_ca_system_score_codex":0.00008200077,"about_ca_system_score_gemma":0.00010038077,"threshold_uncertainty_score":0.99968225},"labels":[],"label_agreement":null},{"id":"W4391127871","doi":"10.61091/jcmcc117-08","title":"The Evaluation and Development of University English Teaching Quality Based on Wireless Network Artificial Intelligence","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wireless network; Quality (philosophy); Mathematics education; Wireless; Computer science; Artificial intelligence; Mathematics; Telecommunications; Philosophy","score_opus":0.06483063826961266,"score_gpt":0.33939363030659614,"score_spread":0.2745629920369835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8994894,0.000059694794,0.089798845,0.0005169747,0.009633944,0.00019931218,4.423892e-7,0.000052300646,0.0002490795],"genre_scores_gemma":[0.98798376,0.0000114356035,0.011581562,0.000009246671,0.0004053709,5.8325094e-7,6.6683407e-7,0.000005798992,0.0000015830062],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979169,0.00040538431,0.00070668163,0.00016024956,0.00060968526,0.00020109561],"domain_scores_gemma":[0.99499273,0.003316805,0.0007946294,0.00021345464,0.00061353645,0.000068834095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009849931,0.00012648928,0.0002939729,0.00014141058,0.0007361028,0.00010259175,0.00054530887,0.00010527347,6.821446e-7],"category_scores_gemma":[0.0012335205,0.000104602856,0.000050816445,0.0003556384,0.00010426191,0.00012393385,0.00022771503,0.00039917554,7.1852236e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044980956,0.00012469514,0.00012662089,0.000032908767,0.000026697804,0.000001413215,0.002258104,0.00056073477,0.00003315129,0.9481752,0.000037293947,0.048578214],"study_design_scores_gemma":[0.0006229436,0.0002854987,0.0010681555,0.0002075541,0.00002360695,0.000004305982,0.0015514146,0.15991318,0.0005787356,0.83500665,0.0005690806,0.00016884947],"about_ca_topic_score_codex":0.0000025487857,"about_ca_topic_score_gemma":8.571345e-7,"teacher_disagreement_score":0.15935245,"about_ca_system_score_codex":0.00006679745,"about_ca_system_score_gemma":0.00041784847,"threshold_uncertainty_score":0.5661582},"labels":[],"label_agreement":null},{"id":"W4391127873","doi":"10.61091/jcmcc117-09","title":"Quantitative Analysis of Distribution and Reliability Based on Maximum Capacity Segmented Subscribers on Distribution Lines","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Reliability (semiconductor); Mathematics; Statistics; Econometrics; Reliability engineering; Engineering; Mathematical analysis","score_opus":0.016006135177180178,"score_gpt":0.24180022739095022,"score_spread":0.22579409221377006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9707013,0.000017278104,0.024235938,0.00006923285,0.0045813513,0.0001633984,0.00005819834,0.00008313534,0.00009017558],"genre_scores_gemma":[0.99906814,0.000029604133,0.0006104952,0.0000054853535,0.00018477264,0.000002270362,0.00007745991,0.000020967362,7.931612e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979586,0.000108511034,0.00088491105,0.00019039169,0.00060936494,0.00024824028],"domain_scores_gemma":[0.9979433,0.0008846598,0.00047330046,0.00023112279,0.0003479062,0.00011971023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015210119,0.0002540976,0.0007367053,0.00033723898,0.00013434819,0.00006993073,0.00016009479,0.00011769008,0.0000023732973],"category_scores_gemma":[0.0005232717,0.00023415442,0.00019391757,0.001249512,0.00008849813,0.00009736889,0.0000677879,0.00029679097,9.3270955e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004303458,0.00079894275,0.0017741459,0.00069026044,0.0011764576,0.00001721882,0.000623387,0.5850439,0.0006268777,0.40713376,0.0011265338,0.0005581662],"study_design_scores_gemma":[0.0021643178,0.0009894016,0.005621861,0.0002545412,0.0006058102,0.0000014380696,0.00021646249,0.9454561,0.0014154883,0.04287249,0.00015257632,0.00024952093],"about_ca_topic_score_codex":0.0000102103995,"about_ca_topic_score_gemma":5.4445576e-7,"teacher_disagreement_score":0.36426127,"about_ca_system_score_codex":0.00018375751,"about_ca_system_score_gemma":0.000021286563,"threshold_uncertainty_score":0.954854},"labels":[],"label_agreement":null},{"id":"W4391127890","doi":"10.61091/jcmcc117-18","title":"On Some Topological Indices for the Orbit Graph of Dihedral Groups","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dihedral group; Wiener index; Orbit (dynamics); Dihedral angle; Mathematics; Graph; Combinatorics; Topology (electrical circuits); Discrete mathematics; Pure mathematics; Group (periodic table); Physics; Quantum mechanics","score_opus":0.03740168451983691,"score_gpt":0.3121668195081129,"score_spread":0.27476513498827604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99100095,0.00010508085,0.002111891,0.00042163258,0.0056095733,0.00051528285,0.0000072865,0.000051734398,0.00017657588],"genre_scores_gemma":[0.99746203,0.000043659296,0.0016343448,0.000026617856,0.00078116247,0.000012677299,0.0000013392782,0.000030028345,0.000008124495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977807,0.0001077515,0.0010893646,0.00017287792,0.000537761,0.00031157807],"domain_scores_gemma":[0.9888863,0.009134901,0.0012569018,0.00029562888,0.0003192306,0.000107055406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028696314,0.00023791355,0.0006975786,0.00023150466,0.0004580916,0.00008616272,0.0005734836,0.0001595576,0.000006513613],"category_scores_gemma":[0.0015670523,0.00015597486,0.0003453969,0.00049922697,0.0002178374,0.00010916,0.00016153256,0.0003953804,0.0000019174038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012764649,0.0004546512,0.00002953701,0.0002239282,0.00014028238,0.0000033959818,0.0009306924,0.000022153723,0.00028013086,0.9967531,0.0007136453,0.00032083696],"study_design_scores_gemma":[0.0022878456,0.00092676573,0.000083772684,0.00019165392,0.00019269546,0.000019876818,0.0007984696,0.00097423035,0.0008593357,0.99335295,0.00014977726,0.00016265005],"about_ca_topic_score_codex":0.0000016078342,"about_ca_topic_score_gemma":1.3042343e-7,"teacher_disagreement_score":0.0090271495,"about_ca_system_score_codex":0.000022482078,"about_ca_system_score_gemma":0.000051984265,"threshold_uncertainty_score":0.63604707},"labels":[],"label_agreement":null},{"id":"W4391127893","doi":"10.61091/jcmcc117-06","title":"On Regular Distance Magic Graphs of Odd Order","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; MAGIC (telescope); Order (exchange); Combinatorics; Discrete mathematics; Business; Physics; Astronomy","score_opus":0.012910544011925758,"score_gpt":0.242308400404577,"score_spread":0.22939785639265123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94665146,0.00039937042,0.030477233,0.0005166336,0.020499304,0.00028080356,0.000002223194,0.00016789557,0.0010050709],"genre_scores_gemma":[0.98939764,0.000054255393,0.010372474,0.000033780772,0.00009998953,8.462058e-7,7.6634035e-7,0.000024395378,0.000015876021],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970188,0.00012045762,0.0012170705,0.0002814122,0.0009914278,0.0003708321],"domain_scores_gemma":[0.99636894,0.0008765915,0.0012263923,0.00049276487,0.0008442855,0.00019102266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002185205,0.00026964184,0.00073972275,0.00047923185,0.00020848117,0.00017542105,0.0008527421,0.00013369552,0.0000026018138],"category_scores_gemma":[0.00061659317,0.00022703485,0.00020453926,0.0015659094,0.0001221947,0.00023052271,0.00033048543,0.00039578087,0.000007621923],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003289323,0.00030597934,0.000049053426,0.00013095692,0.000059115908,0.00003071071,0.00059821573,0.00023671593,0.0006331846,0.99614954,0.00085864484,0.0009149729],"study_design_scores_gemma":[0.00254319,0.0008181861,0.00005573196,0.00047411013,0.000030799583,0.000038532417,0.00007907475,0.020156413,0.0011428777,0.97418785,0.00024778873,0.00022544013],"about_ca_topic_score_codex":0.000004147169,"about_ca_topic_score_gemma":9.0797e-8,"teacher_disagreement_score":0.04274615,"about_ca_system_score_codex":0.000029321063,"about_ca_system_score_gemma":0.00012102275,"threshold_uncertainty_score":0.92582124},"labels":[],"label_agreement":null},{"id":"W4391127912","doi":"10.61091/jcmcc117-05","title":"Order Structure of Good Sets in Hypercube","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Order (exchange); Hypercube; Discrete mathematics; Business","score_opus":0.018198442572857552,"score_gpt":0.26691836085472054,"score_spread":0.248719918281863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96935624,0.00019971044,0.015692206,0.00012139181,0.014069755,0.00019760388,0.0000022854422,0.000060978702,0.00029982207],"genre_scores_gemma":[0.9799646,0.000026881808,0.019549556,0.000011404036,0.0004194084,5.214338e-7,6.6325606e-7,0.000024487112,0.0000024574258],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99664885,0.00015866193,0.0015745312,0.00026564088,0.00094830117,0.00040400587],"domain_scores_gemma":[0.99673975,0.00086507027,0.0011739847,0.00042014464,0.0006571223,0.00014394226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019494116,0.0002660548,0.00092478713,0.0006297847,0.00011565109,0.00017018407,0.0011172539,0.00019744172,0.0000022288273],"category_scores_gemma":[0.0005517478,0.00023895789,0.00012933325,0.0019057635,0.000054713786,0.00039208325,0.0005930247,0.00050649454,0.0000021438188],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029581117,0.00028284336,0.001024315,0.0003788791,0.000080996026,0.000085884734,0.003802102,0.0017993014,0.004228531,0.9848869,0.00015378202,0.0032469127],"study_design_scores_gemma":[0.0047271014,0.0005144089,0.00056477054,0.00085991743,0.000032299085,0.00023194386,0.00040251398,0.17999388,0.0018202126,0.81030524,0.00015749107,0.00039023816],"about_ca_topic_score_codex":0.000009375763,"about_ca_topic_score_gemma":6.473604e-7,"teacher_disagreement_score":0.17819458,"about_ca_system_score_codex":0.00008494907,"about_ca_system_score_gemma":0.00022933002,"threshold_uncertainty_score":0.97444195},"labels":[],"label_agreement":null},{"id":"W4391127953","doi":"10.61091/jcmcc117-12","title":"Classroom Quality Evaluation of English Teaching Activities Based on Probabilistic Language Information","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Methods and Analysis","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Comprehension; Variety (cybernetics); Language education; Communicative language teaching; Computer science; Language acquisition; Mathematics education; Comprehension approach; Teaching method; Field (mathematics); Language assessment; Psychology; Artificial intelligence","score_opus":0.04499034840587451,"score_gpt":0.38839161405273775,"score_spread":0.34340126564686324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849352,0.000023990007,0.0008693182,0.00017318601,0.008156826,0.00024312559,0.000003630553,0.000035277568,0.0055594235],"genre_scores_gemma":[0.9959299,0.000006127775,0.002538677,0.000015639009,0.0014896474,0.0000030342765,0.000004183857,0.000008824486,0.000003943549],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995969,0.0011043006,0.00091260974,0.00009890702,0.001715882,0.0001993329],"domain_scores_gemma":[0.9936703,0.003096685,0.0013106025,0.00014601694,0.0016732728,0.0001031128],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01890377,0.00013068643,0.00044922053,0.0003451196,0.00041025167,0.00016187897,0.00022561662,0.000109939916,0.00000863568],"category_scores_gemma":[0.020614395,0.00011909994,0.00015642798,0.00046262745,0.000101662685,0.00037047337,0.000044541197,0.00032490876,0.0000010930062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047636342,0.00036989994,0.000790586,0.0001929497,0.000055896006,4.974839e-7,0.042006284,0.0011874614,0.00007940955,0.94460607,0.0001040142,0.010559288],"study_design_scores_gemma":[0.004302688,0.00056637515,0.0012915599,0.0007680376,0.0003880947,7.525541e-7,0.1205684,0.057638243,0.00030784096,0.8126256,0.0011494688,0.0003929309],"about_ca_topic_score_codex":0.00007735209,"about_ca_topic_score_gemma":0.0000022365984,"teacher_disagreement_score":0.13198046,"about_ca_system_score_codex":0.0001766361,"about_ca_system_score_gemma":0.0005497599,"threshold_uncertainty_score":0.9876354},"labels":[],"label_agreement":null},{"id":"W4396212846","doi":"10.61091/jcmcc119-06","title":"The Evaluation of Classroom Teaching Quality of College Business English Translation Based on AI and Central Tendency Adaptive Enhancement","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies and Applied Computing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); College English; Business English; Mathematics education; Translation (biology); Computer science; Psychology; Philosophy; Epistemology; Chemistry","score_opus":0.03252424392308953,"score_gpt":0.30903399001770165,"score_spread":0.2765097460946121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396212846","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34650227,0.0010574581,0.6409738,0.00040005104,0.01000678,0.00049857737,0.0000033228005,0.00006221612,0.00049551245],"genre_scores_gemma":[0.9775352,0.000036425507,0.022079665,0.000007241557,0.0003252329,0.0000025522318,4.0703353e-7,0.000012747716,5.314941e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99682325,0.00025125136,0.0012360807,0.00025076076,0.0011757656,0.00026287304],"domain_scores_gemma":[0.9956154,0.0019611095,0.0010205847,0.00027963193,0.0010575271,0.00006570999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004458489,0.00021718198,0.0005276685,0.00016891283,0.000303943,0.00017006941,0.00049512525,0.00011606645,5.329423e-7],"category_scores_gemma":[0.00081356295,0.00016081803,0.00011682845,0.0004433293,0.00011266975,0.00026076546,0.0001793062,0.00052189233,7.007472e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005849742,0.00020563981,0.000013661882,0.00018079208,0.000052624575,0.0000014505708,0.00086231553,0.0011276635,0.0007062483,0.90156347,0.000017920425,0.09520975],"study_design_scores_gemma":[0.0017305926,0.000518267,0.00019254355,0.00066053064,0.000058324964,0.000004185022,0.00039729284,0.5055945,0.001412439,0.4891976,0.00009265889,0.00014101974],"about_ca_topic_score_codex":0.000004938393,"about_ca_topic_score_gemma":3.12939e-7,"teacher_disagreement_score":0.63103294,"about_ca_system_score_codex":0.00011322304,"about_ca_system_score_gemma":0.0002812975,"threshold_uncertainty_score":0.6557969},"labels":[],"label_agreement":null},{"id":"W4396212849","doi":"10.61091/jcmcc119-09","title":"Predictive Modelling of Students’ University English Language Performance by Classification with Gaussian Process Models","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Process (computing); Gaussian process; Natural language processing; Mathematics education; Artificial intelligence; Gaussian; Linguistics; Psychology; Programming language; Physics; Philosophy","score_opus":0.012412024039880606,"score_gpt":0.2382875136785237,"score_spread":0.22587548963864307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396212849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6436942,0.00045758387,0.35394207,0.0000041312796,0.0012306519,0.0001269335,0.000009105609,0.00015173295,0.00038359806],"genre_scores_gemma":[0.99106,0.00019096832,0.00845816,7.8953997e-7,0.00024451676,7.4319456e-7,0.0000040986224,0.000038454844,0.0000022386923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986764,0.000023556307,0.00047732162,0.0001452234,0.0005050728,0.00017243192],"domain_scores_gemma":[0.9990113,0.00014518801,0.0002793392,0.000139965,0.00034049802,0.00008375148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048842974,0.00019166463,0.00038398712,0.00016315463,0.00008540617,0.00010928902,0.00034615645,0.000103013,7.256698e-7],"category_scores_gemma":[0.000027063465,0.00017043376,0.0000449826,0.00031583544,0.00006653594,0.00071292,0.00006175979,0.00040450605,1.4521757e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008418825,0.0015299044,0.00050118845,0.011774031,0.001266345,0.00011008051,0.07140265,0.3188517,0.0042093643,0.5799177,0.00077471626,0.008820426],"study_design_scores_gemma":[0.0010602549,0.00045157218,0.0000045025445,0.0016918263,0.00009654831,0.000019866546,0.0023913365,0.9395093,0.004151012,0.05031414,0.000085218504,0.00022445647],"about_ca_topic_score_codex":0.0000013892492,"about_ca_topic_score_gemma":4.3269317e-8,"teacher_disagreement_score":0.62065756,"about_ca_system_score_codex":0.000107098254,"about_ca_system_score_gemma":0.0000696537,"threshold_uncertainty_score":0.6950087},"labels":[],"label_agreement":null},{"id":"W4396212855","doi":"10.61091/jcmcc119-11","title":"On Generalizing the Method of Scarpis to Complex Hadamard Matrices","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hadamard transform; Complex Hadamard matrix; Mathematics; Hadamard matrix; Computer science; Mathematical analysis","score_opus":0.017390427265444614,"score_gpt":0.26847375975983256,"score_spread":0.25108333249438797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396212855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89413583,0.002315979,0.06117313,0.00024099764,0.038433556,0.000506755,0.000011555895,0.00016526032,0.0030169317],"genre_scores_gemma":[0.99322444,0.00003096184,0.0055264467,0.000021196278,0.0011422241,0.000002170102,5.046757e-7,0.000047723108,0.0000043340187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978626,0.00015368548,0.0010183203,0.00014688348,0.0005587205,0.00025981673],"domain_scores_gemma":[0.9977351,0.0014318005,0.00026721743,0.00023002866,0.00019831781,0.00013754786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023621793,0.0002613472,0.0006648904,0.00029398108,0.00015643558,0.00024545848,0.00042856878,0.00010622536,0.000009058589],"category_scores_gemma":[0.00015086184,0.00018447981,0.00023736399,0.0005398623,0.000043980577,0.00010622628,0.00009688811,0.0004108974,0.0000035561325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038996353,0.00007544641,0.000009430535,0.00066949904,0.00024977743,0.00001724285,0.0021280271,0.0037887688,0.0046818936,0.98242956,0.0021552655,0.0037561166],"study_design_scores_gemma":[0.0014130266,0.000880507,0.000051133364,0.0019291895,0.00022561515,0.00023726003,0.0007013051,0.106673114,0.0053038513,0.876263,0.005889136,0.0004328287],"about_ca_topic_score_codex":0.000005822353,"about_ca_topic_score_gemma":2.0214692e-7,"teacher_disagreement_score":0.1061665,"about_ca_system_score_codex":0.000056342287,"about_ca_system_score_gemma":0.00003809603,"threshold_uncertainty_score":0.7522868},"labels":[],"label_agreement":null},{"id":"W4396212932","doi":"10.61091/jcmcc119-22","title":"Some Excluded Minors for the Spindle Surface","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Surface (topology); Combinatorics; Space (punctuation); Mathematics; Topology (electrical circuits); Computer science; Geometry","score_opus":0.022030201128293767,"score_gpt":0.2781439167719661,"score_spread":0.2561137156436723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396212932","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16941343,0.0073713996,0.76382536,0.0018674271,0.056757238,0.0005326627,0.000002671011,0.00010368371,0.00012610562],"genre_scores_gemma":[0.9625767,0.00009662036,0.033210307,0.000057707286,0.0040005576,0.0000029140688,0.0000010548464,0.000021867378,0.000032309094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980531,0.00006613016,0.00079051725,0.00023862116,0.0005812346,0.00027040206],"domain_scores_gemma":[0.9964011,0.0023923367,0.000392861,0.00024598782,0.00044668265,0.00012108869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021383294,0.00021601631,0.0003897298,0.00015270797,0.00039308323,0.0009043579,0.0007287643,0.00009761345,0.0000019695742],"category_scores_gemma":[0.00030972113,0.00015438495,0.00022869141,0.0004735281,0.00005255096,0.00057182217,0.00023416775,0.0003137463,0.000003120855],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001682536,0.00011745593,0.000003373633,0.00014677309,0.00010691427,0.000009270463,0.00075074506,0.0010515518,0.0005212222,0.9879865,0.0014626882,0.007826696],"study_design_scores_gemma":[0.0010840826,0.000412377,0.00002360057,0.00016473416,0.0000632739,0.000101957965,0.00006714666,0.3054398,0.0013032138,0.683846,0.007317703,0.00017609747],"about_ca_topic_score_codex":0.00000270176,"about_ca_topic_score_gemma":1.1175181e-7,"teacher_disagreement_score":0.79316324,"about_ca_system_score_codex":0.00006375238,"about_ca_system_score_gemma":0.00024535594,"threshold_uncertainty_score":0.87207437},"labels":[],"label_agreement":null},{"id":"W4396212934","doi":"10.61091/jcmcc119-13","title":"NDC Pebbling Number for Some Class of Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Class (philosophy); Mathematics; Combinatorics; Computer science; Discrete mathematics; Artificial intelligence","score_opus":0.0224031363621556,"score_gpt":0.3129240023425292,"score_spread":0.29052086598037363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396212934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5159004,0.0022182553,0.4413585,0.00049101864,0.038301125,0.0007458101,0.0000072615694,0.00016237711,0.0008152929],"genre_scores_gemma":[0.96299225,0.00006635848,0.03594239,0.0000145562535,0.0009301356,0.0000037955697,5.607549e-7,0.0000391836,0.000010763245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99701524,0.000116972325,0.0012535506,0.000315233,0.00085380307,0.00044521503],"domain_scores_gemma":[0.9955505,0.0024530906,0.0006829808,0.00037279679,0.0007336536,0.00020698861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030612724,0.00027839266,0.0007854447,0.00041672596,0.00021628947,0.0004280163,0.0010637278,0.00013183086,0.0000032108069],"category_scores_gemma":[0.00059390895,0.00024168206,0.00038611246,0.0007492499,0.00014190149,0.00081218744,0.00041326415,0.0005445634,0.0000024469161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052199153,0.00021634881,0.000033265023,0.0006020026,0.0001380212,0.000026973743,0.0007791429,0.00003982753,0.0011015855,0.9931271,0.00019239861,0.0036911557],"study_design_scores_gemma":[0.0018279726,0.00059756037,0.00000791438,0.00060078234,0.000049393893,0.00014129195,0.0001123875,0.040215008,0.0028603456,0.9522098,0.0011486884,0.0002288566],"about_ca_topic_score_codex":0.0000017774419,"about_ca_topic_score_gemma":5.363745e-8,"teacher_disagreement_score":0.4470919,"about_ca_system_score_codex":0.0000685464,"about_ca_system_score_gemma":0.0002507841,"threshold_uncertainty_score":0.9855508},"labels":[],"label_agreement":null},{"id":"W4396212950","doi":"10.61091/jcmcc119-17","title":"Computing Metric Dimension of Two Types of Claw-free Cubic Graphs with Applications","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Combinatorics; Metric dimension; Vertex (graph theory); Mathematics; Embedding; Graph; Discrete mathematics; Computer science; Line graph; Artificial intelligence; Pathwidth","score_opus":0.011428518929651315,"score_gpt":0.2531279304407938,"score_spread":0.24169941151114246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396212950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69339806,0.0051092566,0.29080385,0.00022354169,0.00915463,0.0005435954,0.000003830074,0.00014789964,0.0006153055],"genre_scores_gemma":[0.93343294,0.000043804732,0.06635694,0.000008897484,0.00012816695,0.0000012689089,6.666432e-7,0.000025166597,0.0000021572291],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969961,0.00011020639,0.001395814,0.0003041587,0.00090715685,0.00028656737],"domain_scores_gemma":[0.9959539,0.0011654022,0.0012110297,0.0005473575,0.00096106925,0.00016120783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019266979,0.00027494767,0.0008504636,0.000731836,0.00018037675,0.00018961268,0.000919807,0.00011081749,0.0000013112578],"category_scores_gemma":[0.00017524976,0.00021176127,0.00021298222,0.0018594454,0.00016210767,0.00028135057,0.00047437337,0.00043007618,0.0000010442694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021817537,0.00035901085,0.00012086682,0.00048923766,0.00016934359,0.000012232142,0.00066213193,0.00057161256,0.002023369,0.9924678,0.00007673476,0.003025816],"study_design_scores_gemma":[0.0025417123,0.00095924654,0.000023312945,0.0011648785,0.0001600977,0.00013109417,0.000089822795,0.06319494,0.0047472785,0.9266562,0.00009722929,0.0002342102],"about_ca_topic_score_codex":0.000016483109,"about_ca_topic_score_gemma":2.5126766e-7,"teacher_disagreement_score":0.24003485,"about_ca_system_score_codex":0.000034039527,"about_ca_system_score_gemma":0.00021671888,"threshold_uncertainty_score":0.86353743},"labels":[],"label_agreement":null},{"id":"W4396212986","doi":"10.61091/jcmcc119-19","title":"Effects of Personalized Recommendation System Based on User Learning Behavior in English-Chinese Translation","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Recommender system; Rank (graph theory); Information retrieval; Sliding window protocol; Construct (python library); Window (computing); Gradient descent; Artificial intelligence; Machine learning; World Wide Web; Artificial neural network","score_opus":0.012054258640676063,"score_gpt":0.26469208110229026,"score_spread":0.2526378224616142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396212986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5750329,0.0007765852,0.39343044,0.00017269973,0.028317502,0.0009526125,0.0000013283807,0.00032598598,0.0009899315],"genre_scores_gemma":[0.9899097,0.000016878823,0.009538278,0.000006103787,0.00049187586,0.000008725029,0.0000011798304,0.000025234402,0.0000019972047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975772,0.00032087383,0.0011254045,0.0002438718,0.0005208114,0.00021183687],"domain_scores_gemma":[0.9969392,0.0018531819,0.00065614766,0.00015841081,0.0003029189,0.00009014558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022004682,0.00025094094,0.000687742,0.0005441495,0.00010063532,0.00031004008,0.0003677769,0.00015722586,0.0000014467067],"category_scores_gemma":[0.00025517805,0.00020801555,0.00020570011,0.00056667515,0.000026786616,0.00040696305,0.00007402554,0.00054730853,4.9682814e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106333806,0.0009105401,0.0009367002,0.0033021024,0.00008266927,0.000103419006,0.006283561,0.00014871966,0.0012763245,0.96602505,0.00006996118,0.020754635],"study_design_scores_gemma":[0.012221232,0.0043610716,0.00096166536,0.009153096,0.00021194069,0.00012233864,0.0006436994,0.89279675,0.0051466213,0.07096056,0.0025186539,0.00090239494],"about_ca_topic_score_codex":0.0000115405655,"about_ca_topic_score_gemma":2.2331812e-7,"teacher_disagreement_score":0.8950645,"about_ca_system_score_codex":0.00014699674,"about_ca_system_score_gemma":0.00010475538,"threshold_uncertainty_score":0.8482628},"labels":[],"label_agreement":null},{"id":"W4396212999","doi":"10.61091/jcmcc119-20","title":"An Integrated Approach for Accurate 3D Point Cloud Recognition of Substation Equipment Using PSO and kNN Classification","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Point cloud; Particle swarm optimization; k-nearest neighbors algorithm; Computer science; Pattern recognition (psychology); Subspace topology; Artificial intelligence; Feature (linguistics); Point (geometry); Algorithm; Mathematics","score_opus":0.06154099267742646,"score_gpt":0.2857938940675202,"score_spread":0.22425290139009374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396212999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9445699,0.00045209256,0.0495802,0.000017677998,0.0049602953,0.00026841855,0.000024121415,0.000023960763,0.00010336748],"genre_scores_gemma":[0.97416395,0.000045587985,0.025141357,0.000004526379,0.00057675084,5.5748643e-7,0.00005675954,0.000009204484,0.0000012898847],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844736,0.00014528075,0.000752338,0.00018162275,0.00029738696,0.00017601956],"domain_scores_gemma":[0.9984685,0.00043259296,0.0005126034,0.00008396558,0.00038833622,0.00011396683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019578775,0.00016773808,0.0003792462,0.00012258525,0.0001811857,0.00027817336,0.00012151924,0.00010902248,0.000008614499],"category_scores_gemma":[0.0001499272,0.00012970985,0.00007500349,0.0002232937,0.000060382223,0.00039881864,0.000011971949,0.00021225352,4.4347036e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027738216,0.002288038,0.010477233,0.00927029,0.0010287216,0.0000516951,0.03035134,0.005685966,0.027608788,0.28816837,0.0004401033,0.6218556],"study_design_scores_gemma":[0.0016482024,0.0012146023,0.0012264648,0.00055604114,0.00015220998,0.00008070326,0.0025207596,0.8767954,0.00053640764,0.114943326,0.00006647856,0.0002593887],"about_ca_topic_score_codex":0.000047543985,"about_ca_topic_score_gemma":0.0000019463484,"teacher_disagreement_score":0.8711094,"about_ca_system_score_codex":0.00002067657,"about_ca_system_score_gemma":0.000086356995,"threshold_uncertainty_score":0.5289414},"labels":[],"label_agreement":null},{"id":"W4396213001","doi":"10.61091/jcmcc119-14","title":"Stochastic Optimization-Based Comparative Study of New Energy Vehicles’ Noise Characteristics","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Noise (video); Stochastic optimization; Computer science; Mathematical optimization; Mathematics; Artificial intelligence","score_opus":0.015544034633260805,"score_gpt":0.25180235056645645,"score_spread":0.23625831593319563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396213001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8722379,0.0005714923,0.11629699,0.00001903281,0.010407915,0.00017916338,0.000003802419,0.0000796495,0.00020403687],"genre_scores_gemma":[0.9970128,0.000020077725,0.0019433494,0.000003576827,0.00097324507,0.0000012543612,0.0000017899322,0.000038185994,0.000005756032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99812883,0.000042268748,0.0010393856,0.00013310344,0.0004519258,0.00020446451],"domain_scores_gemma":[0.9985644,0.0004771655,0.00032817904,0.0001652235,0.0002776374,0.00018737275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044788033,0.00025040188,0.0006953617,0.00023916396,0.00010782446,0.00015640052,0.00023588093,0.0001044732,0.000011973135],"category_scores_gemma":[0.00006009112,0.00022167772,0.00010155653,0.00038550317,0.00003540098,0.00015474638,0.00005701006,0.00035343133,8.634059e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017068503,0.0015292733,0.00016932272,0.0009478561,0.0005364125,0.00005231335,0.0099194255,0.9064516,0.0009158772,0.07279936,0.0010364605,0.0054714563],"study_design_scores_gemma":[0.0023488235,0.0008827013,0.00005017304,0.00073687127,0.000131014,0.000021116406,0.0005064467,0.985671,0.00036684284,0.008859428,0.00019197649,0.00023364517],"about_ca_topic_score_codex":0.000008899963,"about_ca_topic_score_gemma":2.2996987e-7,"teacher_disagreement_score":0.12477485,"about_ca_system_score_codex":0.00006173535,"about_ca_system_score_gemma":0.00016392011,"threshold_uncertainty_score":0.90397555},"labels":[],"label_agreement":null},{"id":"W4396213010","doi":"10.61091/jcmcc119-16","title":"Digital Copyright Management Strategy of Digital Library Based on Blockchain Technology","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Computer science; Digital library; Computer security; Art","score_opus":0.007271653352948423,"score_gpt":0.22561980271353896,"score_spread":0.21834814936059055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396213010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59049916,0.0023490663,0.3599018,0.0049691508,0.016024023,0.0013202323,0.000057483914,0.001292423,0.02358671],"genre_scores_gemma":[0.99218756,0.000015756985,0.0075071063,0.000014401793,0.0002282906,0.0000034165992,0.000001673512,0.000025560303,0.00001621848],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99789685,0.000026250154,0.00096106244,0.00031715617,0.0005153191,0.00028335903],"domain_scores_gemma":[0.9982624,0.00047179975,0.0005057909,0.00047716344,0.0001695681,0.000113264185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004669545,0.0002697351,0.0005527782,0.0007534666,0.00014282884,0.0006967539,0.00110883,0.00024088105,0.0000043656632],"category_scores_gemma":[0.00006290798,0.00022852754,0.00017201538,0.0011094465,0.00017291837,0.0003455363,0.00046827452,0.0005566619,0.0000051120446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018295577,0.0005568794,0.000049086513,0.00021333725,0.00008835756,0.000080912156,0.000077538214,0.0000843927,0.000021117796,0.9692091,0.00030317827,0.029297842],"study_design_scores_gemma":[0.0011626274,0.0007671481,0.000008737656,0.00046714488,0.000034294473,0.00007898273,0.00008935026,0.13356236,0.0010431766,0.8598351,0.0027335193,0.00021757768],"about_ca_topic_score_codex":1.7703623e-7,"about_ca_topic_score_gemma":9.055228e-9,"teacher_disagreement_score":0.40168843,"about_ca_system_score_codex":0.000038054826,"about_ca_system_score_gemma":0.00013292862,"threshold_uncertainty_score":0.93190825},"labels":[],"label_agreement":null},{"id":"W4396213199","doi":"10.61091/jcmcc119-29","title":"Analysis of the Promotion Effect of Agricultural Economic Management on Rural Economic Development Based on VAR Model","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digitalization and Economic Development in Agriculture","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Business; Promotion (chess); Sustainable development; Rural economy; Economic growth; Rural area; Agricultural productivity; Economics; Political science; Geography","score_opus":0.0078034633971563105,"score_gpt":0.20658981205070845,"score_spread":0.19878634865355213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396213199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853597,0.00001620783,0.00036176646,0.00011319479,0.0071341926,0.0003169716,0.0000029787273,0.000022900638,0.0066720867],"genre_scores_gemma":[0.99932975,0.00000323655,0.0001842275,0.000022157086,0.00040697434,0.0000031119052,0.000009783782,0.000015829914,0.00002494363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983286,0.00002256556,0.0010048968,0.00017059257,0.00030800948,0.00016532716],"domain_scores_gemma":[0.9985634,0.00018343952,0.0009815965,0.00015139433,0.00009639341,0.000023761817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096338603,0.00024668782,0.0006258149,0.0004498985,0.00012015192,0.00030016678,0.0003336928,0.00007974398,0.000016718954],"category_scores_gemma":[0.000036137808,0.000150941,0.00030897858,0.00034306815,0.000035063113,0.00029702415,0.0001413441,0.00015303571,0.000008196568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103880375,0.0003388453,0.0011282449,0.00095980044,0.0012791316,0.0000019429044,0.00021435996,0.13337876,0.00004434891,0.8596872,0.00078051264,0.0020829865],"study_design_scores_gemma":[0.00497452,0.0005537816,0.008368784,0.0026450234,0.0025025345,0.000005591193,0.00028548826,0.9291644,0.0017034877,0.04769176,0.0013800646,0.0007245874],"about_ca_topic_score_codex":0.000002802442,"about_ca_topic_score_gemma":6.311741e-7,"teacher_disagreement_score":0.81199545,"about_ca_system_score_codex":0.00019633201,"about_ca_system_score_gemma":0.00006112105,"threshold_uncertainty_score":0.6155196},"labels":[],"label_agreement":null},{"id":"W4396213255","doi":"10.61091/jcmcc119-27","title":"The-Application-of-Servo-Control-Technology-in-Robot-Positioning-and-Tracking-System-via-Heuristic-Algorithm","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Servo control; Servomechanism; Servo; Heuristic; Kalman filter; Robot; Tracking (education); Stability (learning theory); Eye tracking; Control engineering; Engineering; Machine learning","score_opus":0.006506582128901672,"score_gpt":0.23191260612484382,"score_spread":0.22540602399594215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396213255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49366355,0.007412726,0.4551672,0.00016684235,0.041915216,0.00082572567,0.000006840179,0.00034386135,0.0004980405],"genre_scores_gemma":[0.9975975,0.00005682455,0.0011575593,0.0000013666419,0.0011412926,0.000005906448,4.140595e-7,0.000037649752,0.0000014960291],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783105,0.00006825829,0.0012973438,0.0001614798,0.0003899997,0.00025187232],"domain_scores_gemma":[0.998139,0.00087827543,0.00040153347,0.00018529194,0.00031061846,0.00008528347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001799043,0.00022563724,0.00062237977,0.00035512037,0.00023309219,0.00027545908,0.00021494417,0.0002567358,5.808765e-7],"category_scores_gemma":[0.00015325697,0.00017929277,0.00012533611,0.0005600912,0.00007671783,0.00014685669,0.0000579507,0.00061216514,0.0000019795834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006350291,0.00012318302,0.00017498611,0.0011035975,0.00031713807,0.00005673528,0.00063376647,0.0016576893,0.0039447835,0.9069189,0.000106125044,0.08489963],"study_design_scores_gemma":[0.003672328,0.00060201547,0.00012555189,0.0019625174,0.0001792217,0.00057089573,0.0005937143,0.67747706,0.0025293848,0.31055734,0.001345394,0.0003845657],"about_ca_topic_score_codex":0.0000135579885,"about_ca_topic_score_gemma":5.0999097e-7,"teacher_disagreement_score":0.6758194,"about_ca_system_score_codex":0.00012252294,"about_ca_system_score_gemma":0.00005138711,"threshold_uncertainty_score":0.73113465},"labels":[],"label_agreement":null},{"id":"W4396213274","doi":"10.61091/jcmcc119-26","title":"The Integer-Magic Spectra of Trees","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; MAGIC (telescope); Integer (computer science); Graph; Spectral line; Vertex (graph theory); Mathematics; Physics; Computer science; Quantum mechanics","score_opus":0.012112439385698472,"score_gpt":0.24671071111428486,"score_spread":0.23459827172858638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396213274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65961087,0.02304685,0.19269094,0.003359987,0.1160848,0.000636422,0.0000027738852,0.00033808863,0.004229262],"genre_scores_gemma":[0.9916253,0.00015085889,0.00789429,0.000012304411,0.00028391977,5.4376136e-7,1.3985887e-7,0.00001787525,0.000014771861],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99750704,0.00010753557,0.0011781685,0.00020873838,0.00070732046,0.0002911876],"domain_scores_gemma":[0.9967814,0.0015999752,0.0006400421,0.00036068627,0.0004806438,0.00013725665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026594368,0.00021893758,0.000512488,0.00022063851,0.0002530714,0.00063801126,0.0009231897,0.00009628976,0.0000016303757],"category_scores_gemma":[0.00036859952,0.00014125039,0.00024039096,0.0005984435,0.00015940487,0.00028850167,0.00031530304,0.0004928188,0.000003311136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001301823,0.00013446697,0.000020227775,0.00010633193,0.000092320115,0.000023617922,0.0009315711,0.000032101863,0.0009768328,0.99266905,0.0005300319,0.0044704545],"study_design_scores_gemma":[0.00083628844,0.00055084296,0.000021004016,0.00055371394,0.00004603698,0.00014874591,0.00013661808,0.04002087,0.0017335061,0.9543335,0.0014643649,0.00015449863],"about_ca_topic_score_codex":0.0000055677924,"about_ca_topic_score_gemma":4.1448826e-7,"teacher_disagreement_score":0.3320144,"about_ca_system_score_codex":0.000036295653,"about_ca_system_score_gemma":0.0001948072,"threshold_uncertainty_score":0.61523575},"labels":[],"label_agreement":null},{"id":"W4396213275","doi":"10.61091/jcmcc119-28","title":"Research on the Application of Computer Big Data Technology in Smart Travel","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Motion planning; Computer science; Trajectory; Obstacle avoidance; Process (computing); Dimension (graph theory); Acceleration; Path (computing); Obstacle; Trajectory optimization; Computer vision; Mathematical optimization; Artificial intelligence; Algorithm; Simulation; Optimal control; Mathematics; Robot; Mobile robot","score_opus":0.041038459763970636,"score_gpt":0.2968662370507313,"score_spread":0.25582777728676065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396213275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94642997,0.001093932,0.039540533,0.0010446041,0.010508631,0.00040524622,0.0000058039363,0.00013020125,0.0008410992],"genre_scores_gemma":[0.9983236,0.00006712562,0.00093465793,0.000004625679,0.0006383035,0.0000026960888,0.0000011875238,0.000026762138,0.000001008349],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983016,0.000078830235,0.0008091504,0.00017933668,0.0003779806,0.00025310082],"domain_scores_gemma":[0.9979274,0.0012325338,0.00015418157,0.00047573884,0.00016925026,0.000040897605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033888216,0.00015695108,0.0004385634,0.00060328905,0.00010573523,0.000059563896,0.0008259754,0.00025429836,0.000001358893],"category_scores_gemma":[0.0001232347,0.00011800762,0.00005150789,0.00091660215,0.00019357452,0.000081122875,0.0003017339,0.0012461117,0.0000035898274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017439379,0.00014741538,0.0000643216,0.0002015085,0.00006861487,0.000015434918,0.00031588192,0.00027440747,0.0006002421,0.9726599,0.00025625905,0.025378563],"study_design_scores_gemma":[0.00079665065,0.00037003736,0.00016020701,0.00053862395,0.000024231786,0.00005369606,0.00039905374,0.3077588,0.0018696005,0.6868621,0.0010287378,0.00013825021],"about_ca_topic_score_codex":0.000004991494,"about_ca_topic_score_gemma":7.3566696e-7,"teacher_disagreement_score":0.30748442,"about_ca_system_score_codex":0.000078880206,"about_ca_system_score_gemma":0.0000839553,"threshold_uncertainty_score":0.54138047},"labels":[],"label_agreement":null},{"id":"W4396213330","doi":"10.61091/jcmcc119-24","title":"Towards Innovation of German Teaching via IoT Assistance and Virtual Classroom","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Wireless Sensor Networks and IoT","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"German; Asynchronous communication; Exploit; Computer science; Internet of Things; Global Positioning System; Multimedia; Teaching method; Mathematics education; World Wide Web; Telecommunications; Computer security; Geography; Mathematics","score_opus":0.008924274175422083,"score_gpt":0.24393623658991878,"score_spread":0.2350119624144967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396213330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9598372,0.0013346741,0.024042457,0.000044142605,0.013772084,0.000109748034,0.000002071957,0.00007642783,0.0007812027],"genre_scores_gemma":[0.99541867,0.00007636258,0.0028714489,0.0000056742647,0.0015753709,5.690523e-7,0.0000010187841,0.000046483172,0.0000044274966],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807286,0.00005022375,0.0010830029,0.00014197682,0.00042294408,0.00022899345],"domain_scores_gemma":[0.99886185,0.00035821248,0.00033433392,0.00012806332,0.00022954973,0.000087983964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011313327,0.0002380484,0.00060158543,0.00027472485,0.0001159589,0.00020039416,0.0001662548,0.00016097023,0.0000029804698],"category_scores_gemma":[0.00011629401,0.00021633468,0.00008913844,0.00034684804,0.00006424654,0.00017561215,0.000083437946,0.0006826283,5.4468615e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028234797,0.00010604857,0.00003711226,0.00070776953,0.00017728032,0.000023297507,0.0013204259,0.0006767124,0.00895922,0.96006525,0.00042692592,0.02747171],"study_design_scores_gemma":[0.0029175058,0.0010478836,0.00038552194,0.0025878109,0.00020470908,0.00024939014,0.00035017327,0.44248483,0.0036072272,0.541692,0.0038225786,0.0006503482],"about_ca_topic_score_codex":0.00000356378,"about_ca_topic_score_gemma":1.6304212e-7,"teacher_disagreement_score":0.4418081,"about_ca_system_score_codex":0.000070186914,"about_ca_system_score_gemma":0.000052462918,"threshold_uncertainty_score":0.88218725},"labels":[],"label_agreement":null},{"id":"W4396213349","doi":"10.61091/jcmcc119-23","title":"A Novel Underground Culvert Detection and Positioning System Projected along the Public Vertical Line","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Culvert; Computer science; Correctness; Ellipse; Reliability (semiconductor); Pipeline (software); Perpendicular; Line (geometry); Azimuth; Trajectory; Point (geometry); Real-time computing; Structural engineering; Algorithm; Engineering; Geometry; Mathematics","score_opus":0.009531646761760812,"score_gpt":0.21711176057419462,"score_spread":0.2075801138124338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396213349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72445005,0.0019273584,0.25688496,0.00021446314,0.01566592,0.00022827346,0.0000014620952,0.00039138494,0.00023616475],"genre_scores_gemma":[0.9975758,0.000037838232,0.0012459614,0.000004756577,0.0010892383,0.0000024628132,6.6738477e-7,0.000041985102,0.0000012850692],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848694,0.000036271023,0.00066899275,0.00014987687,0.0003869963,0.0002709016],"domain_scores_gemma":[0.99888355,0.0005988591,0.00008385194,0.00013524319,0.00016379767,0.00013472054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075231923,0.00023793006,0.0003883841,0.00016861451,0.0002633388,0.0007056198,0.00017448253,0.00017237234,9.235542e-7],"category_scores_gemma":[0.00019395065,0.00017332667,0.00010505864,0.0003492548,0.00006625033,0.00021326184,0.00008374628,0.00069990155,6.1541704e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020442432,0.00006772737,0.0000049251194,0.0011175155,0.00029180854,0.00003286481,0.00045377164,0.0024591945,0.008764704,0.9841135,0.000036278696,0.0026372538],"study_design_scores_gemma":[0.0015818763,0.0004171593,0.00010077684,0.0011204929,0.00020731897,0.0021854772,0.0004668327,0.9110464,0.00083162606,0.08104229,0.00065056724,0.00034917713],"about_ca_topic_score_codex":0.00000883238,"about_ca_topic_score_gemma":0.0000012432156,"teacher_disagreement_score":0.9085872,"about_ca_system_score_codex":0.0001505314,"about_ca_system_score_gemma":0.000051534673,"threshold_uncertainty_score":0.70680565},"labels":[],"label_agreement":null},{"id":"W4396214823","doi":"10.61091/jcmcc119-32","title":"Locating Chromatic Number of Middle Graph of Path, Cycle, Star, Wheel, Gear and Helm Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Chromatic scale; Vertex (graph theory); Mathematics; Graph; Partition (number theory); Wheel graph; Discrete mathematics; Graph power","score_opus":0.012644731587118936,"score_gpt":0.24207284508501922,"score_spread":0.2294281134979003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396214823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795604,0.0026295476,0.009501783,0.00008759798,0.007713709,0.00019656897,0.0000023694022,0.00006243554,0.0002455984],"genre_scores_gemma":[0.9661597,0.00012249287,0.03357738,0.000010959545,0.00009712069,0.0000011224453,4.796751e-7,0.0000282059,0.0000025210793],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99667376,0.00014141314,0.0016992755,0.00030913597,0.0008446049,0.0003318103],"domain_scores_gemma":[0.99671054,0.0009124677,0.0011727869,0.00036751045,0.0006323376,0.00020438072],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023039682,0.00030849295,0.00094433385,0.0003659034,0.00017492118,0.00027334385,0.0005733671,0.0001579062,0.0000035250368],"category_scores_gemma":[0.0002633419,0.00026268288,0.00023865767,0.00086487096,0.00020286899,0.00040488018,0.00038892202,0.0004350132,0.0000012907069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018661098,0.0003417899,0.00016394006,0.0017622575,0.00015364452,0.000024932891,0.003087538,0.000033176533,0.0021963618,0.9905578,0.00006200197,0.0015979022],"study_design_scores_gemma":[0.001675521,0.000664773,0.00004514426,0.002405346,0.00010860271,0.00021785845,0.00027498958,0.041347668,0.0018982135,0.951082,0.000027391628,0.00025250053],"about_ca_topic_score_codex":0.000026063539,"about_ca_topic_score_gemma":2.0020909e-7,"teacher_disagreement_score":0.04131449,"about_ca_system_score_codex":0.000025331583,"about_ca_system_score_gemma":0.00016960794,"threshold_uncertainty_score":0.99998254},"labels":[],"label_agreement":null},{"id":"W4396214824","doi":"10.61091/jcmcc119-30","title":"Harmonious Labelings of Families of Disjoint Unions of an Odd Cycle and Certain Trees","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Vertex (graph theory); Mathematics; Injective function; Disjoint sets; Neighbourhood (mathematics); Path (computing); Graph; Tree (set theory); Function (biology); Discrete mathematics; Computer science","score_opus":0.012094427113017428,"score_gpt":0.24716611964144164,"score_spread":0.23507169252842422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396214824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871841,0.0017540224,0.0059932666,0.00013859944,0.0046413625,0.00013482595,0.0000043777945,0.00003657524,0.00011289097],"genre_scores_gemma":[0.9825097,0.00014297462,0.017242553,0.0000063737957,0.00007651995,5.725762e-7,6.19657e-7,0.000018700726,0.000002006229],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973864,0.00012688446,0.0014251049,0.00023278108,0.00060760044,0.00022121111],"domain_scores_gemma":[0.9971897,0.00075292814,0.0009706448,0.0003144396,0.000612375,0.0001599167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018251007,0.00022496447,0.00083328516,0.00039830236,0.00011176196,0.00013408357,0.0005037742,0.000120379336,0.0000011143302],"category_scores_gemma":[0.00026259111,0.00018594768,0.00016436937,0.0005464909,0.00020811433,0.00033163882,0.0003227065,0.00029600793,1.7822089e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027418522,0.00048874796,0.00010047873,0.0005819103,0.00011514638,0.000011871005,0.003765575,0.00016596248,0.011772564,0.97882074,0.000029594861,0.004119986],"study_design_scores_gemma":[0.0018275592,0.0014699036,0.00011950843,0.0012393425,0.0001013705,0.00007335567,0.0005008004,0.07969337,0.013371444,0.9013575,0.00004817929,0.00019770513],"about_ca_topic_score_codex":0.000058607802,"about_ca_topic_score_gemma":8.413253e-7,"teacher_disagreement_score":0.07952741,"about_ca_system_score_codex":0.00001846975,"about_ca_system_score_gemma":0.0001578488,"threshold_uncertainty_score":0.75827265},"labels":[],"label_agreement":null},{"id":"W4396234362","doi":"10.61091/jcmcc119-21","title":"Prediction of Enterprise Human Resource Demand Based on Iot and Data Mining Technology","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Process (computing); Key (lock); Resource (disambiguation); Internet of Things; Sample (material); Human resources; Scale (ratio); Data mining; Demand forecasting; Data science; Industrial engineering; Operations research; Engineering; Computer security","score_opus":0.025771255057384954,"score_gpt":0.2589663832231729,"score_spread":0.23319512816578794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396234362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902952,0.00070186605,0.0021326372,0.00056367635,0.0043746396,0.00020189704,0.000005689108,0.00017241445,0.0015520108],"genre_scores_gemma":[0.99720585,0.000011686743,0.0013616006,0.000028921253,0.001353227,9.110515e-7,0.000004760388,0.00002986747,0.0000031735162],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99827576,0.000016858077,0.00081310887,0.00026774567,0.0004169908,0.00020955665],"domain_scores_gemma":[0.9983928,0.00033828904,0.0006866167,0.00036139906,0.0001984692,0.000022388469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014254064,0.00021933122,0.0005250022,0.00077646616,0.00022778162,0.00033096713,0.0005406464,0.00019868126,0.0000045840657],"category_scores_gemma":[0.00051459647,0.0001865737,0.00006728843,0.0004774982,0.00016016285,0.00029987647,0.00061666593,0.00040912317,9.811823e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010960973,0.00046639767,0.003087639,0.0016275506,0.0001491537,0.000059652517,0.00024619428,0.00006490551,0.0011821948,0.9804829,0.0024143616,0.01010945],"study_design_scores_gemma":[0.0047514606,0.0010327087,0.00042273614,0.0046429024,0.000508856,0.000064017906,0.001709892,0.25223044,0.00059259037,0.71987736,0.013702644,0.0004643735],"about_ca_topic_score_codex":0.0000053449126,"about_ca_topic_score_gemma":2.6984904e-7,"teacher_disagreement_score":0.2606055,"about_ca_system_score_codex":0.000026798087,"about_ca_system_score_gemma":0.000038094873,"threshold_uncertainty_score":0.76082546},"labels":[],"label_agreement":null},{"id":"W4396234372","doi":"10.61091/jcmcc119-15","title":"Examination of an Image Identification System for Agricultural Machines Based on Machine Vision","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Machine vision; Identification (biology); Artificial intelligence; Computer science; Computer vision; Agriculture; Image (mathematics); Machine learning; Geography; Biology; Botany","score_opus":0.013560405569227168,"score_gpt":0.27920815794375664,"score_spread":0.2656477523745295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396234372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5197104,0.00032678148,0.45849198,0.000017184844,0.020466935,0.00038415642,0.000008401743,0.0001631755,0.0004309711],"genre_scores_gemma":[0.97904164,0.0000054732686,0.02010143,0.0000011016175,0.0008073466,0.0000034828718,0.00000532036,0.000031982472,0.0000022009813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839395,0.00008933457,0.000819652,0.00013157244,0.00043165864,0.00013380322],"domain_scores_gemma":[0.9985521,0.00050382805,0.0003304146,0.0001255822,0.00041077417,0.00007729836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002059135,0.00018630123,0.00039078633,0.00024715805,0.00010676376,0.00016623829,0.00013751004,0.000093700015,0.0000012951855],"category_scores_gemma":[0.00018920303,0.00014822879,0.00013209012,0.00024014551,0.000023459615,0.00030734102,0.00001556889,0.00020885683,4.7934446e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003136963,0.00072387775,0.000008399771,0.008580305,0.00022262684,0.000014403264,0.0014126536,0.021378096,0.34672576,0.5356349,0.000105637875,0.08487967],"study_design_scores_gemma":[0.0019858405,0.0009784392,0.00016793088,0.0009142031,0.00011385844,0.000025197782,0.00019555519,0.9103421,0.052386314,0.032600485,0.00008636386,0.0002037378],"about_ca_topic_score_codex":6.275439e-7,"about_ca_topic_score_gemma":8.690735e-8,"teacher_disagreement_score":0.888964,"about_ca_system_score_codex":0.00010847915,"about_ca_system_score_gemma":0.000020804071,"threshold_uncertainty_score":0.60445946},"labels":[],"label_agreement":null},{"id":"W4396234469","doi":"10.61091/jcmcc119-04","title":"Equi Neighbor Polynomial of Some Binary Graph Operations","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Binary number; Combinatorics; Mathematics; Graph; Discrete mathematics; Computer science; Arithmetic","score_opus":0.023275115770257093,"score_gpt":0.29639360318792257,"score_spread":0.2731184874176655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396234469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819829,0.0010965874,0.00399301,0.0003070714,0.011452588,0.0003713971,0.0000137084135,0.00008328699,0.0006994791],"genre_scores_gemma":[0.990244,0.00006727682,0.007913096,0.00001386918,0.0016855523,0.000004651534,0.0000018937992,0.000052260744,0.000017410002],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972424,0.00012966829,0.0015393139,0.00022989835,0.0005556841,0.00030302053],"domain_scores_gemma":[0.9969068,0.0016308287,0.0005496068,0.00031822658,0.0004106381,0.00018390325],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018655771,0.0003034163,0.00082155457,0.00042029945,0.00028170022,0.00022371941,0.0004460166,0.00018685691,0.000020767124],"category_scores_gemma":[0.0005010057,0.0002590844,0.00036783135,0.0005606722,0.00018385203,0.00038239034,0.00019373265,0.0005440844,0.0000032953162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049546514,0.00059983134,0.0000114966415,0.00049108197,0.00020387613,0.000017995111,0.0011470995,0.000031188418,0.0052600405,0.9906965,0.0009767858,0.00051459187],"study_design_scores_gemma":[0.0014977593,0.0005791172,0.000013522596,0.0006807646,0.00026047448,0.00009925127,0.0003450848,0.0037366035,0.0026402795,0.9892795,0.0006144761,0.000253143],"about_ca_topic_score_codex":0.0000056121416,"about_ca_topic_score_gemma":2.6316556e-7,"teacher_disagreement_score":0.009767036,"about_ca_system_score_codex":0.00005060214,"about_ca_system_score_gemma":0.00021480824,"threshold_uncertainty_score":0.9999861},"labels":[],"label_agreement":null},{"id":"W4396234490","doi":"10.61091/jcmcc119-05","title":"On Real Algebras Admitting Reflections which Commute","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algebra and Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Algebra over a field; Mathematics; Pure mathematics","score_opus":0.020823980840284174,"score_gpt":0.29852127922495497,"score_spread":0.2776972983846708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396234490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50134474,0.0012728682,0.40532935,0.0016114177,0.073398374,0.00050266087,0.000002707571,0.0006503072,0.015887571],"genre_scores_gemma":[0.9747689,0.00009644826,0.023359658,0.000059714217,0.0016616429,0.0000020158823,6.8234556e-7,0.00003615744,0.000014802939],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971846,0.00015751159,0.0010978762,0.00036493473,0.00076097494,0.00043413904],"domain_scores_gemma":[0.99638784,0.001867168,0.0005754599,0.00042857317,0.00048604878,0.00025488413],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017022201,0.00034162283,0.0006517464,0.00038011282,0.0004888315,0.00084322377,0.0009022325,0.0001741316,0.0000056897456],"category_scores_gemma":[0.0005823339,0.00028635206,0.0002125632,0.001008145,0.000059921338,0.0006203406,0.0003996413,0.0009785948,0.000012825407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019693638,0.00024185142,0.000010690279,0.00011346455,0.0000882891,0.00007706191,0.0012377535,0.000093098344,0.00036713592,0.9928335,0.000350429,0.004567013],"study_design_scores_gemma":[0.0011956242,0.0011535626,0.000031213523,0.00065626774,0.00005010376,0.0003002003,0.0001287665,0.027643805,0.00052630197,0.9666195,0.0013792635,0.00031539937],"about_ca_topic_score_codex":0.00000549227,"about_ca_topic_score_gemma":6.9790025e-7,"teacher_disagreement_score":0.47342414,"about_ca_system_score_codex":0.00013819644,"about_ca_system_score_gemma":0.00025446326,"threshold_uncertainty_score":0.9999589},"labels":[],"label_agreement":null},{"id":"W4396234574","doi":"10.61091/jcmcc119-12","title":"Choosing Friends in Everyday Life by using Graph Theory","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Everyday life; Psychology; Sociology; Aesthetics; Epistemology; Art; Philosophy","score_opus":0.011118738226230844,"score_gpt":0.2696931677615046,"score_spread":0.25857442953527376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396234574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9174524,0.0020954285,0.07104755,0.000059720667,0.0073484625,0.00020775113,0.000004867282,0.000068596375,0.0017152472],"genre_scores_gemma":[0.99566716,0.0000154656,0.0024251316,0.000011679398,0.0018226432,0.0000014395164,0.0000024654905,0.000047907153,0.0000061371356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974382,0.00018994707,0.0012339955,0.00026134736,0.00049839326,0.0003781323],"domain_scores_gemma":[0.99801624,0.0008127624,0.00057381723,0.0002066657,0.00019915611,0.0001913717],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022789396,0.00031893712,0.0008022206,0.0004257414,0.00018441076,0.0004468698,0.0003465393,0.00010362668,0.000041452353],"category_scores_gemma":[0.00007171438,0.0002911733,0.00029928004,0.0007458822,0.00008049804,0.00030999287,0.00019743163,0.00070524553,0.0000012485297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003688526,0.00037084077,0.0010071899,0.00010263783,0.00032587993,0.000017283726,0.00093837536,0.000119618395,0.0010192543,0.9910717,0.00059757225,0.0043927487],"study_design_scores_gemma":[0.0012558114,0.00015875796,0.000028001372,0.000850636,0.0002221241,0.000017699022,0.00046987235,0.037567686,0.00061194564,0.9577016,0.00077693857,0.0003389295],"about_ca_topic_score_codex":0.000037928436,"about_ca_topic_score_gemma":1.5724268e-7,"teacher_disagreement_score":0.07821476,"about_ca_system_score_codex":0.000094142924,"about_ca_system_score_gemma":0.00017918611,"threshold_uncertainty_score":0.99995404},"labels":[],"label_agreement":null},{"id":"W4396234585","doi":"10.61091/jcmcc119-10","title":"Mining and Teaching Practice of Ideological and Political Course Elements Based on Text Extraction and Knowledge Graph","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ideology; Politics; Knowledge graph; Computer science; Course (navigation); Graph; Extraction (chemistry); Data science; Artificial intelligence; Political science; Engineering; Chemistry; Theoretical computer science; Chromatography; Law","score_opus":0.02480848236019417,"score_gpt":0.3712720350289678,"score_spread":0.3464635526687736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396234585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98094934,0.00082848547,0.0008888333,0.0028514722,0.005213878,0.0002003447,0.0000015598979,0.000028402963,0.009037697],"genre_scores_gemma":[0.9946567,0.00004921135,0.004165151,0.00007292165,0.0010343108,0.0000011379403,4.8198586e-7,0.000010600595,0.0000095146015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979492,0.00044332744,0.0006762769,0.00019493772,0.00042143295,0.00031485234],"domain_scores_gemma":[0.99349487,0.005531172,0.00033933343,0.00006875565,0.00026083647,0.00030504802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037154697,0.00016616797,0.00041613178,0.00014255322,0.0004153976,0.00024968773,0.000098132805,0.00018300505,0.000006911279],"category_scores_gemma":[0.0036606449,0.00013291954,0.00006138885,0.000119356606,0.00040424644,0.00025016168,0.0000816722,0.00047217845,3.9221663e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060098035,0.00048651217,0.00066660385,0.00017878943,0.000036485566,0.000010905763,0.0027364686,8.148253e-7,0.000054329106,0.9900985,0.00008073849,0.0055897483],"study_design_scores_gemma":[0.0022597543,0.0021528823,0.0014191745,0.0011916482,0.00036155529,0.00011359113,0.0092607485,0.009154562,0.000088339824,0.96651024,0.007142995,0.0003445244],"about_ca_topic_score_codex":0.0000630612,"about_ca_topic_score_gemma":0.0000013352354,"teacher_disagreement_score":0.023588281,"about_ca_system_score_codex":0.00005440905,"about_ca_system_score_gemma":0.00019759155,"threshold_uncertainty_score":0.54203016},"labels":[],"label_agreement":null},{"id":"W4396234597","doi":"10.61091/jcmcc119-08","title":"On Some Exact Formulas for \\(2\\)-Color Off-diagonal Rado Numbers","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diagonal; Mathematics; Combinatorics; Geometry","score_opus":0.00817927098850766,"score_gpt":0.2558380655730586,"score_spread":0.24765879458455095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396234597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805158,0.00046872708,0.0065259715,0.0003311123,0.010809766,0.00026006962,0.0000104228575,0.00004447886,0.0010336782],"genre_scores_gemma":[0.9951533,0.000011467008,0.0014451686,0.000027733287,0.0032564476,0.0000058722294,0.000004382866,0.000046775396,0.000048834663],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980354,0.000047533747,0.0008334199,0.00024863047,0.00045098804,0.00038402717],"domain_scores_gemma":[0.9976347,0.0013748637,0.0004322226,0.00017095736,0.00021133582,0.0001759151],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00093894557,0.00029992504,0.0006671237,0.00021963392,0.0002433112,0.00039656373,0.00028264162,0.00008798117,0.000037650552],"category_scores_gemma":[0.00008732184,0.00025236758,0.00044923768,0.00022767634,0.000051474206,0.00019034311,0.00007296131,0.00041627476,0.000006378641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007798157,0.0003680614,0.000060547627,0.00015770971,0.0003945142,0.000008926055,0.00034053114,0.00009509693,0.0007040899,0.9877982,0.0016532845,0.008341043],"study_design_scores_gemma":[0.0027942597,0.0014406488,0.00001762345,0.00054878223,0.00030539156,0.000021816299,0.0001704248,0.023618093,0.001155001,0.9676451,0.001955627,0.00032724818],"about_ca_topic_score_codex":0.00000764544,"about_ca_topic_score_gemma":5.3436974e-8,"teacher_disagreement_score":0.023522997,"about_ca_system_score_codex":0.000064217995,"about_ca_system_score_gemma":0.0001478882,"threshold_uncertainty_score":0.99999285},"labels":[],"label_agreement":null},{"id":"W4396234598","doi":"10.61091/jcmcc119-07","title":"Inverse of \\(\\alpha\\)-Hermitian Adjacency Matrix of a Unicyclic Bipartite Graph","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Adjacency matrix; Bipartite graph; Combinatorics; Hermitian matrix; Mathematics; Inverse; Complete bipartite graph; Edge-transitive graph; Graph; Discrete mathematics; Line graph; Voltage graph; Pure mathematics; Geometry","score_opus":0.02370849155242829,"score_gpt":0.3059902708696927,"score_spread":0.28228177931726445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396234598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98980653,0.0008401192,0.002449875,0.000108623,0.0054086316,0.0003342638,0.000011812501,0.00005419761,0.000985971],"genre_scores_gemma":[0.9910429,0.000107187436,0.008283487,0.000004958745,0.00049000065,0.000002918917,0.0000011222592,0.000048913127,0.000018482775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968212,0.00016109666,0.0018833476,0.00021520759,0.0006258377,0.00029330072],"domain_scores_gemma":[0.99572146,0.0018108857,0.0013904953,0.0003763628,0.0005197136,0.00018108173],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021831754,0.0003009384,0.0010129539,0.0004803203,0.00013446099,0.000084393716,0.0004738399,0.0001911694,0.000021603153],"category_scores_gemma":[0.00060422043,0.00026223113,0.00044043316,0.0008687321,0.00023367314,0.00021577756,0.00017254833,0.0004862874,0.000002205836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055754525,0.000649019,0.00007550683,0.0014380745,0.00024708675,0.000015866235,0.0017311525,0.000008526854,0.005090428,0.9896234,0.00041886003,0.00064628647],"study_design_scores_gemma":[0.0016295337,0.00051165087,0.000024794537,0.0014305027,0.00034398178,0.000086389926,0.0005149536,0.0015151519,0.0052268473,0.98797715,0.0005126475,0.0002264269],"about_ca_topic_score_codex":0.000006657068,"about_ca_topic_score_gemma":6.1824085e-7,"teacher_disagreement_score":0.0058336114,"about_ca_system_score_codex":0.00003791725,"about_ca_system_score_gemma":0.00017360631,"threshold_uncertainty_score":0.999983},"labels":[],"label_agreement":null},{"id":"W4396234615","doi":"10.61091/jcmcc119-02","title":"Enhancing University Physical Education Through Data-Driven Reform of Sports Club Systems","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Club; Physical education; Psychology; Political science; Mathematics education; Medical education; Medicine","score_opus":0.05123812801142318,"score_gpt":0.3327307197591568,"score_spread":0.2814925917477336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396234615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9705107,0.0014633231,0.0013084197,0.00023211807,0.023034591,0.0002926345,0.0000057152597,0.000034957906,0.0031175318],"genre_scores_gemma":[0.994099,0.0002511523,0.003150801,0.000009391368,0.002436129,3.568379e-7,0.0000068062072,0.00001828284,0.000028050814],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99830794,0.00005043004,0.00069523824,0.00020166683,0.0005712652,0.00017343374],"domain_scores_gemma":[0.99811333,0.00031038848,0.0005462852,0.00030622346,0.0006033249,0.00012041966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008633438,0.00016307116,0.0006855464,0.00015592552,0.00013159799,0.00006279432,0.00022402495,0.00009355762,0.0000023226373],"category_scores_gemma":[0.00013872074,0.00013714028,0.00011584499,0.0003242376,0.00008618748,0.0002606458,0.00023309655,0.0003508696,0.0000012597402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011275942,0.00092073303,0.0003171034,0.0031230762,0.0003165797,0.0000378969,0.0076771146,0.000008557864,0.00015471241,0.9833532,0.0007690142,0.0032092582],"study_design_scores_gemma":[0.010342,0.004778528,0.0015847547,0.032120094,0.0049325484,0.002018166,0.20765965,0.045618832,0.002446226,0.64785266,0.039094076,0.0015524692],"about_ca_topic_score_codex":0.000058908587,"about_ca_topic_score_gemma":1.4320315e-7,"teacher_disagreement_score":0.33550054,"about_ca_system_score_codex":0.00022959396,"about_ca_system_score_gemma":0.0008159506,"threshold_uncertainty_score":0.55924183},"labels":[],"label_agreement":null},{"id":"W4396234641","doi":"10.61091/jcmcc119-03","title":"Investigating Small Disturbance Stability in Wind Farm Grid-Connected Systems: A Data-Driven Approach","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Disturbance (geology); Stability (learning theory); Grid; Environmental science; Computer science; Control theory (sociology); Geography; Geology; Control (management); Geomorphology; Geodesy","score_opus":0.02754766645557333,"score_gpt":0.23293002333999172,"score_spread":0.2053823568844184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396234641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9543279,0.004861958,0.005632191,0.00003659447,0.033264615,0.00067458366,0.000025030555,0.00023702669,0.00094013516],"genre_scores_gemma":[0.9943975,0.000022768621,0.0021703811,0.0000036425984,0.00330476,0.000004514418,0.000012166159,0.00008243731,0.0000018105951],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964128,0.00020819469,0.0018865083,0.0004022894,0.00060874264,0.00048144843],"domain_scores_gemma":[0.99740416,0.0011008973,0.0004516006,0.0005566945,0.00025422926,0.00023243892],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027786088,0.00043489732,0.0011807103,0.00029657924,0.00011587154,0.0006597833,0.000810144,0.00023509118,0.0000013840761],"category_scores_gemma":[0.0007537915,0.00039132923,0.00012705909,0.00065246853,0.00008268941,0.00035439225,0.0003046159,0.0010468146,0.0000019037251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105969586,0.0014328824,0.0052882866,0.021136452,0.0015712029,0.00037157745,0.015454201,0.05858741,0.0043384596,0.88738436,0.0011104924,0.0032186974],"study_design_scores_gemma":[0.002941406,0.00018370087,0.00029002203,0.0021675243,0.00012229892,0.00018835177,0.0007536061,0.9635626,0.000064318425,0.028658347,0.00057979155,0.00048800086],"about_ca_topic_score_codex":0.000044060245,"about_ca_topic_score_gemma":0.000002324882,"teacher_disagreement_score":0.90497524,"about_ca_system_score_codex":0.00028519574,"about_ca_system_score_gemma":0.00017281687,"threshold_uncertainty_score":0.99985385},"labels":[],"label_agreement":null},{"id":"W4396240826","doi":"10.61091/jcmcc119-25","title":"An Upper Bound on the Total Roman { 2 } -domination Number of Graphs with Minimum Degree Two","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Babol Noshirvani University of Technology","keywords":"Combinatorics; Mathematics; Domination analysis; Graph; Vertex (graph theory); Minimum weight; Degree (music); Upper and lower bounds; Dominating set; Order (exchange); Induced subgraph; Function (biology); Discrete mathematics; Physics","score_opus":0.0194097962874946,"score_gpt":0.3029665248546538,"score_spread":0.2835567285671592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396240826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95887834,0.00014055273,0.033407237,0.00027396315,0.005704859,0.00028900456,0.0000016257296,0.000050929557,0.0012534865],"genre_scores_gemma":[0.9912363,0.000009500167,0.0082071815,0.000014265155,0.00048506464,0.0000030429214,5.3296617e-7,0.000034060587,0.000010000183],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970189,0.00028236123,0.00083078345,0.00031261734,0.0011939527,0.00036140005],"domain_scores_gemma":[0.9962122,0.0019005225,0.00057451305,0.0005323489,0.0005988601,0.00018154728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026791105,0.00029158522,0.0005445571,0.00030003622,0.00030715446,0.0006282491,0.001042152,0.00009461263,0.000009574509],"category_scores_gemma":[0.00023346097,0.0001871805,0.00018192173,0.0008186349,0.00022876692,0.0006736626,0.00022730476,0.0006574033,0.0000039499946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108122986,0.00038604008,0.000084400075,0.00010119208,0.000113085734,0.000044737586,0.0014072581,0.00006738858,0.0010229897,0.9941571,0.00006503266,0.0024426824],"study_design_scores_gemma":[0.0019311552,0.0016432074,0.00015717515,0.000575022,0.00004760962,0.0003475985,0.00027059283,0.038257565,0.0020781367,0.95438725,0.00006699459,0.00023771424],"about_ca_topic_score_codex":0.0000046181667,"about_ca_topic_score_gemma":2.598437e-7,"teacher_disagreement_score":0.039769843,"about_ca_system_score_codex":0.000070750095,"about_ca_system_score_gemma":0.00019879288,"threshold_uncertainty_score":0.7632999},"labels":[],"label_agreement":null},{"id":"W4399911376","doi":"10.61091/jcmcc126-16","title":"A note on the threshold numbers of cycles","year":2025,"lang":"en","type":"preprint","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Mathematical Dynamics and Fractals","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Computer science; Arithmetic","score_opus":0.03027081444921622,"score_gpt":0.31164059386382126,"score_spread":0.28136977941460506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399911376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9274675,0.00037521485,0.016578546,0.0013551819,0.028652629,0.0019117191,0.0000674505,0.000090263115,0.023501493],"genre_scores_gemma":[0.987758,0.00006846809,0.010931581,0.000053626336,0.0010711818,0.0000065117956,0.000001977964,0.000064487176,0.00004418493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99473155,0.00022437479,0.0028050737,0.00036837388,0.0014299292,0.00044073223],"domain_scores_gemma":[0.9867632,0.0070580784,0.0041091954,0.00092829403,0.00095213193,0.000189124],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004110739,0.00067671866,0.002249232,0.00032622647,0.0002569234,0.00025372786,0.0013309926,0.00062202004,0.00002130407],"category_scores_gemma":[0.0033916861,0.00046595137,0.00076707546,0.00030760697,0.0002537111,0.00007343259,0.0013065938,0.0020654125,0.0000015620145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013404703,0.0011146145,0.000029251893,0.0021634046,0.0004126351,0.000011629731,0.0013005626,0.000057156147,0.00003483448,0.9934093,0.000872206,0.000460361],"study_design_scores_gemma":[0.0017888047,0.00047413615,0.000015229683,0.0045156907,0.00045153743,0.000017478289,0.00022894169,0.011624476,0.00036998602,0.97998583,0.00013854717,0.00038933055],"about_ca_topic_score_codex":0.000008974632,"about_ca_topic_score_gemma":5.1963e-7,"teacher_disagreement_score":0.06029048,"about_ca_system_score_codex":0.00013469088,"about_ca_system_score_gemma":0.00038591685,"threshold_uncertainty_score":0.9997792},"labels":[],"label_agreement":null},{"id":"W4400484640","doi":"10.61091/jcmcc120-38","title":"A New Lower Bound for the Domination Number of Complete Cylindrical Grid Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grid; Domination analysis; Upper and lower bounds; Mathematics; Combinatorics; Computer science; Geometry; Graph; Mathematical analysis; Vertex (graph theory)","score_opus":0.023852832496387914,"score_gpt":0.31446046119005205,"score_spread":0.29060762869366413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400484640","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05848261,0.001164647,0.90467507,0.00080867374,0.033813763,0.0006116846,0.000005603736,0.000061577564,0.0003763891],"genre_scores_gemma":[0.9462666,0.000060280516,0.051916663,0.000018935567,0.0016777345,0.0000045037586,7.748277e-7,0.00003523138,0.000019261286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99715847,0.0001261537,0.0011145667,0.00028028767,0.0009418886,0.00037863164],"domain_scores_gemma":[0.9933713,0.0046664053,0.0006333042,0.0003998045,0.0007352436,0.00019395303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027931728,0.0002590071,0.0006318084,0.00024210272,0.00031186052,0.00056626106,0.0012053477,0.00012704715,0.0000076162155],"category_scores_gemma":[0.0006126177,0.00018393199,0.00037881284,0.0008038397,0.00015793781,0.00048494095,0.0003913437,0.00054866896,0.0000029781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010136699,0.00016542982,0.000018085922,0.00020019777,0.00015677657,0.000015272708,0.0008352102,0.00003388978,0.000409598,0.9888243,0.0007859798,0.008453861],"study_design_scores_gemma":[0.002162015,0.0005925282,0.000030272022,0.00032971607,0.00007639394,0.00017206799,0.00007855402,0.052469365,0.00043679643,0.94001967,0.00344359,0.00018902513],"about_ca_topic_score_codex":0.000006091217,"about_ca_topic_score_gemma":2.2247642e-7,"teacher_disagreement_score":0.887784,"about_ca_system_score_codex":0.000071465394,"about_ca_system_score_gemma":0.000320347,"threshold_uncertainty_score":0.7500529},"labels":[],"label_agreement":null},{"id":"W4400484670","doi":"10.61091/jcmcc120-35","title":"Digital Protection and Innovative Development Path of Red Culture Resources Based on Distributed Machine Learning Supported by Intelligent Information","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Wuhan University","keywords":"Path (computing); Computer science; Development (topology); Knowledge management; World Wide Web; Artificial intelligence; Human–computer interaction; Engineering management; Engineering; Operating system; Mathematics","score_opus":0.01003555607883363,"score_gpt":0.21889170558238016,"score_spread":0.20885614950354653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400484670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96553254,0.00013822921,0.028691567,0.0008596887,0.0028604616,0.00045413067,0.000012881358,0.00014216728,0.001308315],"genre_scores_gemma":[0.999221,0.000005415156,0.00038581126,0.00003676481,0.00026166596,0.000003094539,0.00006605633,0.000015414891,0.0000047319513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99838257,0.000014418556,0.0009385776,0.00012051812,0.00038693167,0.00015695939],"domain_scores_gemma":[0.99811584,0.00012350614,0.00092464435,0.00008329648,0.00073410425,0.000018618342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007396553,0.00020203568,0.00035888192,0.00046682332,0.00023249118,0.0004909292,0.00014563004,0.0001440253,0.0000049596547],"category_scores_gemma":[0.0005696144,0.00016559254,0.00004939834,0.00096373836,0.00008307791,0.00076064514,0.00012643996,0.0005564455,0.0000023299162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004763736,0.0012018742,0.0038033007,0.0027063007,0.00047095824,0.000023385417,0.0027417368,0.00017969347,0.0021571817,0.91914946,0.003707392,0.06338235],"study_design_scores_gemma":[0.011344939,0.0020752903,0.0010642671,0.0061919345,0.00037949605,0.00008468602,0.0059879706,0.31045845,0.00868521,0.32070905,0.3313819,0.0016368142],"about_ca_topic_score_codex":0.000008254721,"about_ca_topic_score_gemma":1.663802e-7,"teacher_disagreement_score":0.5984404,"about_ca_system_score_codex":0.000051717037,"about_ca_system_score_gemma":0.000051479765,"threshold_uncertainty_score":0.6752668},"labels":[],"label_agreement":null},{"id":"W4400484683","doi":"10.61091/jcmcc120-31","title":"Research article Interaction Between Public Art Sculpture and Urban Environment and Aesthetic Enhancement Effect Based on Deep Learning Model Evaluation","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Suzhou University","keywords":"Sculpture; Aesthetics; Public art; Deep learning; Visual arts; Architectural engineering; Computer science; Art; Sociology; Artificial intelligence; Engineering","score_opus":0.03734321993715894,"score_gpt":0.32894024839911096,"score_spread":0.291597028461952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400484683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9269053,0.00053575955,0.06807847,0.00055842573,0.002779322,0.0003801279,2.7188997e-7,0.00003995031,0.0007223766],"genre_scores_gemma":[0.9975839,0.000033167074,0.0019921875,0.000010394351,0.00034675922,0.0000068316313,0.0000011775298,0.000018327348,0.0000072173366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99724483,0.0003504515,0.00055136887,0.00031882746,0.0012230696,0.00031144702],"domain_scores_gemma":[0.9980745,0.0010746418,0.00022527864,0.00017614521,0.00021339623,0.00023606137],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005092301,0.00020840726,0.00037228744,0.00027209776,0.00029140586,0.0011267643,0.00023531498,0.00010066407,0.0000027192434],"category_scores_gemma":[0.00024822023,0.0001699986,0.00007014853,0.00026265232,0.00008304038,0.0005678331,0.00025322227,0.00071454496,0.0000073740475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009523858,0.00070564053,0.00074204104,0.0006239134,0.00013428266,0.000036774167,0.003848972,0.0018542035,0.0007873248,0.7909009,0.00019318527,0.20007756],"study_design_scores_gemma":[0.0014746309,0.0023795783,0.00006927038,0.0006431434,0.00005234445,0.000025827592,0.00009515078,0.866617,0.000603801,0.12736438,0.0005136789,0.00016113622],"about_ca_topic_score_codex":5.5676827e-7,"about_ca_topic_score_gemma":3.3622804e-8,"teacher_disagreement_score":0.86476284,"about_ca_system_score_codex":0.00015325601,"about_ca_system_score_gemma":0.00008768065,"threshold_uncertainty_score":0.9999102},"labels":[],"label_agreement":null},{"id":"W4400484687","doi":"10.61091/jcmcc120-33","title":"Total Labelings of Graphs with Prescribed Weights","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Mathematics","score_opus":0.009556581239050642,"score_gpt":0.22686533130350378,"score_spread":0.21730875006445313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400484687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9520935,0.0030029367,0.028355664,0.00028421628,0.0153326625,0.00024311367,0.0000016272045,0.00013910676,0.0005471848],"genre_scores_gemma":[0.96486354,0.000038869992,0.03490389,0.000012282305,0.00014606724,0.0000010132476,3.9219358e-7,0.00002550061,0.000008470308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973454,0.000080965474,0.0011064702,0.0002900701,0.0008652045,0.00031192394],"domain_scores_gemma":[0.997469,0.00061716273,0.0006776596,0.00033265958,0.0007067955,0.00019673794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014305019,0.0002797861,0.0006930224,0.00041130942,0.00016053142,0.00040579913,0.0005986593,0.00012859567,0.0000024337353],"category_scores_gemma":[0.00013065642,0.00020225858,0.00019613336,0.0007822581,0.00012605957,0.00045940478,0.00025997104,0.0004600572,0.0000016646529],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034235793,0.0002709955,0.00004240821,0.000323411,0.00015816456,0.00005320907,0.001718641,0.000043352935,0.0013870226,0.99437916,0.00015994433,0.0014294705],"study_design_scores_gemma":[0.0020854266,0.0013482012,0.000025011022,0.0013827634,0.000100237725,0.0003280284,0.00007104011,0.027856896,0.0033674329,0.9629211,0.00024751434,0.00026634737],"about_ca_topic_score_codex":0.000010707878,"about_ca_topic_score_gemma":1.1438075e-7,"teacher_disagreement_score":0.031458043,"about_ca_system_score_codex":0.000027945156,"about_ca_system_score_gemma":0.00021904806,"threshold_uncertainty_score":0.82478654},"labels":[],"label_agreement":null},{"id":"W4400484698","doi":"10.61091/jcmcc120-37","title":"On Vertex-Euclidean Deficiency of Complete Fan Graphs and Complete Wheel Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vertex (graph theory); Combinatorics; Euclidean geometry; Mathematics; 1-planar graph; Indifference graph; Chordal graph; Graph; Geometry","score_opus":0.024362601796538607,"score_gpt":0.2847584975143031,"score_spread":0.2603958957177645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400484698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91294783,0.0024423434,0.06658659,0.00031119163,0.015612123,0.0005332869,0.000014331627,0.0001582874,0.0013939881],"genre_scores_gemma":[0.99038845,0.00012689372,0.00927132,0.000029744046,0.00013390346,0.0000019765844,9.0750854e-7,0.000042284977,0.0000044931317],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959085,0.0002641822,0.0014499428,0.0005029708,0.0013034741,0.00057095726],"domain_scores_gemma":[0.9948087,0.0029462583,0.00076780433,0.0005528616,0.00058308843,0.00034129314],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002678747,0.00043364672,0.0010416773,0.0008819375,0.00037966014,0.0005519025,0.0012417858,0.00015691259,0.0000046740806],"category_scores_gemma":[0.00052787224,0.00037212594,0.00031378696,0.0011681201,0.00037670703,0.0005455078,0.0006569869,0.0008859874,0.0000037923444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006742108,0.00031241614,0.00006728341,0.00044850158,0.000102795966,0.00006948485,0.00113785,0.000027981772,0.0021972363,0.99208206,0.00012650555,0.003360454],"study_design_scores_gemma":[0.0020857898,0.001818845,0.00014887766,0.0009292108,0.00005322956,0.00021967619,0.00014230527,0.023867838,0.0003719628,0.9697671,0.00024961066,0.00034557196],"about_ca_topic_score_codex":0.000007788361,"about_ca_topic_score_gemma":3.5421417e-7,"teacher_disagreement_score":0.07744062,"about_ca_system_score_codex":0.00006645494,"about_ca_system_score_gemma":0.00016751466,"threshold_uncertainty_score":0.99987304},"labels":[],"label_agreement":null},{"id":"W4400484707","doi":"10.61091/jcmcc120-32","title":"Secure and Efficient Federated Learning for Smart Optical Cable Monitoring Systems","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"State Grid Jiangsu Electric Power","keywords":"Computer science; Computer security; Federated learning; Telecommunications; Computer network; Distributed computing","score_opus":0.010286955017106025,"score_gpt":0.23384353952910608,"score_spread":0.22355658451200006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400484707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93718696,0.0051617553,0.032117706,0.000055028646,0.02427327,0.00036615707,0.0000011736593,0.00042946768,0.00040850593],"genre_scores_gemma":[0.99169314,0.00012716897,0.006627267,8.401266e-7,0.001477486,0.0000051763504,5.3022274e-7,0.00006327762,0.0000051065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826825,0.000030184745,0.0007761244,0.0001862989,0.00035116237,0.00038797167],"domain_scores_gemma":[0.99821055,0.00117467,0.00014082938,0.00008376668,0.00023700038,0.0001531632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010440681,0.0002756246,0.00062398124,0.00017807825,0.00024120384,0.00077471713,0.00016269351,0.00024278894,7.770662e-7],"category_scores_gemma":[0.0003932712,0.0002443347,0.00010226522,0.00026268724,0.00006945793,0.00011950112,0.0001208647,0.000749138,0.0000010934128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044438973,0.0001220758,0.00010686107,0.0023619474,0.00032224884,0.000059335118,0.00063029956,0.055897806,0.0014789843,0.9343844,0.00030025185,0.0042913198],"study_design_scores_gemma":[0.001252711,0.0005129372,0.000018638206,0.0014080825,0.00012114844,0.00015297307,0.000594354,0.94709575,0.0007814849,0.046577748,0.0011819586,0.00030222378],"about_ca_topic_score_codex":0.0000020953087,"about_ca_topic_score_gemma":4.2086636e-8,"teacher_disagreement_score":0.8911979,"about_ca_system_score_codex":0.00011085493,"about_ca_system_score_gemma":0.00004229716,"threshold_uncertainty_score":0.99636793},"labels":[],"label_agreement":null},{"id":"W4400484708","doi":"10.61091/jcmcc120-36","title":"Hamiltonian Laceability of Hypercubes with Prescribed Linear Forest and/or Faulty Edges","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hypercube; Combinatorics; Mathematics; Hamiltonian path; Hamiltonian (control theory); Graph; Mathematical optimization","score_opus":0.019311295792831498,"score_gpt":0.2572892807899825,"score_spread":0.23797798499715098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400484708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8887507,0.00100209,0.095166914,0.00024873434,0.014092539,0.00031615875,0.0000020892066,0.00007894007,0.00034184108],"genre_scores_gemma":[0.98957497,0.000039458748,0.009330666,0.000010225227,0.0010057434,0.0000016888802,2.9469555e-7,0.00002133715,0.000015630329],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977729,0.00013236824,0.0010199072,0.00027816914,0.00053759746,0.00025910905],"domain_scores_gemma":[0.9975129,0.0009795388,0.00050182414,0.00029319327,0.0005529736,0.00015959346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016915625,0.00025342175,0.0007337959,0.00018203896,0.00016790164,0.0004036525,0.00046111245,0.00013657441,0.0000023658952],"category_scores_gemma":[0.00023310352,0.00016694149,0.0001292245,0.00038254468,0.00012110005,0.00043425662,0.00025529703,0.00040605487,6.794878e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016788921,0.00036885176,0.00067743595,0.0010138834,0.00022096584,0.00006845446,0.0044459812,0.00026509166,0.0002459414,0.98795414,0.0002577521,0.0043135905],"study_design_scores_gemma":[0.0054554567,0.0062336694,0.0007278709,0.0044092257,0.00022189213,0.0014698376,0.001038377,0.5703256,0.0014341593,0.40320143,0.0046949354,0.0007875156],"about_ca_topic_score_codex":0.000020652842,"about_ca_topic_score_gemma":0.0000037669834,"teacher_disagreement_score":0.58475274,"about_ca_system_score_codex":0.000049513015,"about_ca_system_score_gemma":0.00019784123,"threshold_uncertainty_score":0.6807676},"labels":[],"label_agreement":null},{"id":"W4400484726","doi":"10.61091/jcmcc120-34","title":"Half-exceeded Symmetric Permutations and the Inverse Pairs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Inverse; Mathematics; Combinatorics; Geometry","score_opus":0.009341677583296197,"score_gpt":0.217350577099676,"score_spread":0.2080088995163798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400484726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95383626,0.005690841,0.0041967435,0.0002698672,0.03154919,0.0003757089,0.000002308598,0.00018590747,0.003893192],"genre_scores_gemma":[0.9984575,0.0001538533,0.0003157178,0.000010354845,0.0010130695,0.0000028379222,5.152476e-7,0.00003699536,0.000009171767],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983963,0.00012176645,0.0007762164,0.00012528802,0.00035842252,0.00022205287],"domain_scores_gemma":[0.99799395,0.0013938771,0.00018394529,0.00014398561,0.00015349525,0.00013073786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002070116,0.00022626697,0.00052605674,0.00028882019,0.00024019417,0.00044369162,0.00021803193,0.000113853814,0.00000465831],"category_scores_gemma":[0.00026505766,0.00015738118,0.00017220399,0.0005408694,0.00016046315,0.00020173698,0.00007515242,0.0004955515,0.0000035892378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027681375,0.0000420228,0.000014150228,0.00044472914,0.00020519242,0.00002383728,0.0029571198,0.0001785569,0.00011658196,0.99445105,0.0005228529,0.0010162393],"study_design_scores_gemma":[0.0033160406,0.00016108305,0.000024063065,0.00051947276,0.00021388338,0.0003334966,0.0013697034,0.13159622,0.00012933793,0.8598523,0.0022519073,0.00023249265],"about_ca_topic_score_codex":0.0000054995485,"about_ca_topic_score_gemma":4.6849888e-7,"teacher_disagreement_score":0.13459875,"about_ca_system_score_codex":0.000045276887,"about_ca_system_score_gemma":0.00004229828,"threshold_uncertainty_score":0.6417818},"labels":[],"label_agreement":null},{"id":"W4400484736","doi":"10.61091/jcmcc120-39","title":"Computational Enumeration of André Planes","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Combinatorial Mathematics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Enumeration; Combinatorics; Mathematics; Computer science","score_opus":0.022497665877016654,"score_gpt":0.30088173131068163,"score_spread":0.278384065433665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400484736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82354546,0.002052619,0.14035705,0.00023769808,0.031065894,0.00075963215,0.000017820828,0.00022209549,0.0017417115],"genre_scores_gemma":[0.946347,0.000046103138,0.052107498,0.0000078977855,0.0013939501,0.0000027672372,0.0000030815868,0.00007852804,0.000013148931],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99582386,0.00014452862,0.002208615,0.0002902792,0.0011737878,0.00035892185],"domain_scores_gemma":[0.9931045,0.0041253814,0.0013818848,0.0003003621,0.00089140685,0.00019645964],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021322211,0.00042349315,0.0012224119,0.00044286303,0.00018335583,0.00024454173,0.000444684,0.00024022198,0.000019568879],"category_scores_gemma":[0.001559171,0.00037167792,0.0003087278,0.0005540786,0.00016910344,0.00044363292,0.00019888383,0.00061174616,0.0000038279854],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007062994,0.0005071981,0.00002967067,0.0015013817,0.00024191385,0.00004663884,0.002019582,0.000203787,0.00056799204,0.9926176,0.00058039563,0.00161321],"study_design_scores_gemma":[0.0020970525,0.0007140305,0.000010436791,0.0013471898,0.00021395693,0.000315682,0.00034230915,0.017204514,0.0014479073,0.9752937,0.0006795583,0.00033367996],"about_ca_topic_score_codex":0.0000029699565,"about_ca_topic_score_gemma":1.6624368e-7,"teacher_disagreement_score":0.12280155,"about_ca_system_score_codex":0.00011707684,"about_ca_system_score_gemma":0.0002831453,"threshold_uncertainty_score":0.9998735},"labels":[],"label_agreement":null},{"id":"W4400484767","doi":"10.61091/jcmcc120-040","title":"The Domination Number of C n □ P m for n ≡ 2 ( mod 5 )","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mod; Mathematics; Combinatorics","score_opus":0.011969324701241036,"score_gpt":0.2727788284367423,"score_spread":0.26080950373550127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400484767","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.248709,0.0016577854,0.70569545,0.00076028705,0.041197803,0.00047008696,0.000002667205,0.00009430314,0.0014126328],"genre_scores_gemma":[0.9832771,0.000049693128,0.015865158,0.000007378961,0.00077518646,0.000002860054,2.2900839e-7,0.000015391366,0.0000070296655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982478,0.00008658291,0.00084130437,0.00016053094,0.0004438232,0.00021996],"domain_scores_gemma":[0.99581957,0.0028037545,0.00054529886,0.00024722872,0.00050386554,0.00008027577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003030594,0.00016392411,0.0003797596,0.00012753662,0.0003109131,0.00049722433,0.00073120365,0.00008609854,0.0000012090475],"category_scores_gemma":[0.00037719545,0.000114731294,0.0002731933,0.0004189444,0.00009228185,0.00031268748,0.00019256488,0.00024322548,9.198916e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003991491,0.000106455525,0.00001111241,0.00017843442,0.00009110289,0.0000035193914,0.00088082947,0.0000071548297,0.0002560094,0.98108745,0.00026500865,0.017073035],"study_design_scores_gemma":[0.0010825619,0.00037302045,0.000010781854,0.0002985188,0.000052140684,0.0000767314,0.00010561784,0.03435326,0.0010643477,0.9589607,0.0034975186,0.0001248152],"about_ca_topic_score_codex":9.732456e-7,"about_ca_topic_score_gemma":5.991772e-8,"teacher_disagreement_score":0.73456806,"about_ca_system_score_codex":0.000031460986,"about_ca_system_score_gemma":0.000118852906,"threshold_uncertainty_score":0.47947457},"labels":[],"label_agreement":null},{"id":"W4400485106","doi":"10.61091/jcmcc120-23","title":"Big Data Analysis Based on the Evaluation of College Students’ Civic Web","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Big data; Computer science; Data science; World Wide Web; Mathematics education; Psychology; Data mining","score_opus":0.10397569745829573,"score_gpt":0.39078369401737956,"score_spread":0.28680799655908384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9697493,0.00034859314,0.0007983317,0.0027013766,0.019949488,0.0004241654,0.000019123758,0.00002546558,0.0059841694],"genre_scores_gemma":[0.9976468,0.000020193074,0.00018409643,0.00004850413,0.0020744815,0.0000018525323,0.0000033611748,0.000009053308,0.000011640927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960425,0.0007388261,0.0007656496,0.00018649998,0.0020398966,0.00022661105],"domain_scores_gemma":[0.9946939,0.003606096,0.0004516508,0.0003273397,0.0007910612,0.00013000202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013467172,0.00013884662,0.00044961035,0.00026550115,0.0003566122,0.00024944465,0.0008051745,0.00011953891,0.00006387528],"category_scores_gemma":[0.003601844,0.000091291164,0.00017323681,0.0011414039,0.00020870686,0.00011556846,0.00015698581,0.0003342492,0.0000027262547],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022686601,0.0004700291,0.00034675238,0.00005755635,0.00025682096,0.000002674632,0.0017150656,0.00007301034,0.000014279113,0.9944908,0.0006000865,0.0019502167],"study_design_scores_gemma":[0.0013641497,0.00040333573,0.0009183766,0.0003768505,0.00191624,0.0000020549212,0.0026353486,0.1332575,0.000042935764,0.8550766,0.003818957,0.00018762551],"about_ca_topic_score_codex":0.00006023168,"about_ca_topic_score_gemma":0.000008484296,"teacher_disagreement_score":0.13941419,"about_ca_system_score_codex":0.00012813641,"about_ca_system_score_gemma":0.00087506097,"threshold_uncertainty_score":0.466748},"labels":[],"label_agreement":null},{"id":"W4400485116","doi":"10.61091/jcmcc120-28","title":"A Generalisation of Maximal (k,b)-Linear-Free Sets of Integers","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics; Discrete mathematics; Pure mathematics","score_opus":0.019620522895396893,"score_gpt":0.27160621481383024,"score_spread":0.25198569191843334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5636016,0.00086770364,0.4207863,0.00026416645,0.013950418,0.00016111869,0.000003949512,0.00003681451,0.0003279477],"genre_scores_gemma":[0.9367123,0.000030827046,0.062579416,0.000010024108,0.00064628053,7.321929e-7,0.0000017323327,0.000014001006,0.0000046851787],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99750096,0.00010415524,0.0012564387,0.00019952963,0.00075799075,0.00018094045],"domain_scores_gemma":[0.99730355,0.00069790136,0.0008391947,0.00028993265,0.0007640412,0.000105375875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017190147,0.00019264255,0.000554994,0.00041651764,0.00008211965,0.00013902843,0.00066838774,0.00010852497,0.0000044209773],"category_scores_gemma":[0.00046270204,0.00017141871,0.00020641283,0.00069959543,0.000071435905,0.00044955715,0.00031668166,0.00027362065,8.1401146e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031638603,0.00022837686,0.00002744479,0.00040077663,0.00011071871,0.000013440929,0.0014260662,0.0011596343,0.0039019263,0.9846529,0.0002912589,0.0077558276],"study_design_scores_gemma":[0.0015815902,0.00075894233,0.00007323569,0.0005212621,0.00006463317,0.00011554861,0.00008633206,0.27513286,0.011721631,0.70941204,0.00034901183,0.00018286957],"about_ca_topic_score_codex":0.00000687914,"about_ca_topic_score_gemma":1.7210905e-7,"teacher_disagreement_score":0.3731107,"about_ca_system_score_codex":0.00005270415,"about_ca_system_score_gemma":0.0002802009,"threshold_uncertainty_score":0.6990252},"labels":[],"label_agreement":null},{"id":"W4400485129","doi":"10.61091/jcmcc120-26","title":"A Note on Decomposition of Tensor Product of Complete Multipartite Graphs into Gregarious Kite","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Kite; Multipartite; Tensor product; Decomposition; Mathematics; Product (mathematics); Pure mathematics; Combinatorics; Computer science; Physics; Biology; Ecology; Quantum mechanics; Geometry; Quantum","score_opus":0.009648721597012798,"score_gpt":0.24566924838250495,"score_spread":0.23602052678549215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97924864,0.0012362911,0.0027507837,0.00003114058,0.015975088,0.00028716345,0.0000072104485,0.00007545364,0.00038825427],"genre_scores_gemma":[0.9975882,0.000044442382,0.0017525335,0.0000035009646,0.0005571966,0.0000019484387,0.0000017631837,0.00004854113,0.0000018823534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99755305,0.00010693075,0.0013980425,0.00017921659,0.0005215656,0.00024117115],"domain_scores_gemma":[0.9981008,0.00065358216,0.0005293469,0.00024527352,0.00034921878,0.00012177039],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001232866,0.0002915105,0.00088230905,0.00042587862,0.00009719729,0.000091637135,0.00027440683,0.00012270575,0.000002957275],"category_scores_gemma":[0.0001414091,0.00025400877,0.0002881083,0.0004511831,0.00010949683,0.00016255307,0.00006140642,0.000440165,0.0000021700691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021864717,0.000463778,0.0001166557,0.0038212473,0.00045141828,0.00004412881,0.0049413275,0.002279235,0.05616018,0.92794126,0.00020321873,0.003358918],"study_design_scores_gemma":[0.0037683004,0.0018599676,0.00018812683,0.0051796813,0.00031419625,0.00020383307,0.00026814104,0.079372935,0.035256527,0.8719874,0.0010521666,0.00054875284],"about_ca_topic_score_codex":0.000009025331,"about_ca_topic_score_gemma":3.6870247e-7,"teacher_disagreement_score":0.0770937,"about_ca_system_score_codex":0.000055607816,"about_ca_system_score_gemma":0.000052944124,"threshold_uncertainty_score":0.99999124},"labels":[],"label_agreement":null},{"id":"W4400485142","doi":"10.61091/jcmcc120-24","title":"Enhancing English Pronunciation Assessment in Computer-Assisted Language Learning for College Students","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pronunciation; Computer science; Natural language processing; Mathematics education; Language assessment; College English; English language; Psychology; Linguistics","score_opus":0.015850805402963627,"score_gpt":0.3428560494567215,"score_spread":0.32700524405375786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485142","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44008812,0.00021060344,0.53595567,0.0001116899,0.023081914,0.00034056007,7.2631315e-7,0.00009575529,0.00011493038],"genre_scores_gemma":[0.8347626,0.00000730577,0.1635973,0.000014863418,0.0015762525,0.000006594552,0.0000014106186,0.000022689514,0.000011013404],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972549,0.00034669263,0.0010895393,0.00029766533,0.00070348236,0.00030770147],"domain_scores_gemma":[0.99688905,0.001782462,0.0005616392,0.00019098811,0.00043954063,0.00013629279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055981353,0.00023035854,0.00056734134,0.00040570757,0.00021591829,0.00080430275,0.00063198135,0.00012698972,0.0000016515502],"category_scores_gemma":[0.0005864666,0.00021372485,0.00015047599,0.00056554313,0.000022192555,0.00044794058,0.00024347252,0.00073923793,7.215043e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021702326,0.0009811276,0.0009984457,0.00064594846,0.0001288083,0.00004937814,0.0317598,0.00024385648,0.000806548,0.94701654,0.00010695477,0.017240906],"study_design_scores_gemma":[0.012479644,0.0032872877,0.006691118,0.004301517,0.00019253617,0.00019548206,0.004742874,0.5581917,0.002015039,0.4029667,0.0036680566,0.0012680297],"about_ca_topic_score_codex":0.000006195984,"about_ca_topic_score_gemma":8.541946e-7,"teacher_disagreement_score":0.5579479,"about_ca_system_score_codex":0.00028846276,"about_ca_system_score_gemma":0.0003793785,"threshold_uncertainty_score":0.87154466},"labels":[],"label_agreement":null},{"id":"W4400485143","doi":"10.61091/jcmcc120-21","title":"Clustering Integrated Fusion Model Based on the Maximum Matching Problem","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Matching (statistics); Computer science; Fusion; Artificial intelligence; Data mining; Pattern recognition (psychology); Mathematics; Statistics","score_opus":0.012548466126773428,"score_gpt":0.22088520181625163,"score_spread":0.2083367356894782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4740872,0.0009715116,0.46866313,0.0011796169,0.044043854,0.001056952,0.000008019498,0.00085352093,0.0091361925],"genre_scores_gemma":[0.99674976,0.0000147689425,0.0021707725,0.000024808138,0.0009716021,0.0000050387853,7.891128e-7,0.000056246394,0.000006199356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981061,0.00007884856,0.0008931325,0.00015961689,0.00045068184,0.0003116018],"domain_scores_gemma":[0.9986009,0.00071751536,0.00022641903,0.00021609858,0.00015294239,0.000086110456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018481215,0.00030141906,0.000529232,0.00024530312,0.0002536137,0.00035244337,0.0003867394,0.00028883907,0.000005892054],"category_scores_gemma":[0.00012214176,0.00020534392,0.00017069718,0.00034284435,0.000052340078,0.00013403302,0.00008400939,0.0011903031,0.0000044683684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009446657,0.00013631911,0.000003817194,0.00051676796,0.00018886765,0.000057572484,0.0010108541,0.10753264,0.003255666,0.87689346,0.000785304,0.009524244],"study_design_scores_gemma":[0.00086957274,0.0001813432,4.0174768e-7,0.0010846112,0.00004599377,0.000035972527,0.00017766541,0.6742253,0.00044553567,0.32239673,0.00038402205,0.00015286959],"about_ca_topic_score_codex":0.0000043502464,"about_ca_topic_score_gemma":2.6082117e-7,"teacher_disagreement_score":0.56669265,"about_ca_system_score_codex":0.00013924234,"about_ca_system_score_gemma":0.000105089566,"threshold_uncertainty_score":0.8373682},"labels":[],"label_agreement":null},{"id":"W4400485152","doi":"10.61091/jcmcc120-30","title":"Multi-Scale Deep Learning-Based University Financial System: Hardware Design and Database Integration","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Inner Mongolia University of Technology; Inner Mongolia University","keywords":"Computer science; Scale (ratio); Computer architecture; Deep learning; Computer hardware; Database; Artificial intelligence; Cartography; Geography","score_opus":0.059201116223786925,"score_gpt":0.3259984833205339,"score_spread":0.26679736709674695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485152","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12681992,0.00042215653,0.859258,0.00006981832,0.012913724,0.0002724309,0.000003593341,0.00007913811,0.00016121879],"genre_scores_gemma":[0.83565146,0.0000098311575,0.1635946,0.0000063457287,0.0006790296,5.766571e-7,0.0000012347721,0.000027192356,0.000029711813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957866,0.0011139904,0.0011705516,0.0004201367,0.0012159997,0.00029271125],"domain_scores_gemma":[0.990103,0.007553431,0.00090408034,0.00026666702,0.00092260644,0.00025018488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012636094,0.000292979,0.0007735273,0.0005746397,0.0004993549,0.00079794455,0.00054612,0.00019305307,0.000008608202],"category_scores_gemma":[0.007721603,0.0002385872,0.00019121835,0.0008330805,0.00013778255,0.0004287845,0.00028310134,0.0007835884,0.0000045833135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021633755,0.0014852277,0.0014045408,0.0022324203,0.00035596668,0.0012345815,0.012010287,0.007333832,0.005700225,0.75251436,0.0030892552,0.21047595],"study_design_scores_gemma":[0.0029277594,0.0007412554,0.00023110617,0.0012885792,0.00016480306,0.00019369149,0.0014870287,0.93024284,0.00048617212,0.059960302,0.0019519619,0.0003245064],"about_ca_topic_score_codex":0.000008666465,"about_ca_topic_score_gemma":0.0000011934004,"teacher_disagreement_score":0.922909,"about_ca_system_score_codex":0.00017409353,"about_ca_system_score_gemma":0.00031577292,"threshold_uncertainty_score":0.9729304},"labels":[],"label_agreement":null},{"id":"W4400485156","doi":"10.61091/jcmcc120-27","title":"Molecular Descriptors Of Certain Class Of Carbon Nanocone Networks Through Quotient Graph Approach","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quotient; Graph; Class (philosophy); Mathematics; Computer science; Combinatorics; Artificial intelligence","score_opus":0.01812415531360531,"score_gpt":0.26962879566108705,"score_spread":0.25150464034748177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485156","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43922105,0.0020836613,0.5451742,0.000062479696,0.012449933,0.00023880613,0.0000013059877,0.000036939316,0.00073160656],"genre_scores_gemma":[0.93777686,0.00004276681,0.061721217,0.0000115254,0.0004096615,0.0000019974295,0.0000010657445,0.00003334264,0.0000015813405],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99604386,0.00036860292,0.0017669472,0.00035800357,0.0011057265,0.00035686398],"domain_scores_gemma":[0.99624515,0.0012810092,0.001229966,0.00040471138,0.0006915732,0.00014758341],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024897584,0.0003484854,0.0010515287,0.00037521138,0.00009080241,0.00022579412,0.00096285116,0.00018622862,8.580462e-7],"category_scores_gemma":[0.00030519965,0.0003118113,0.00039372273,0.0011209049,0.00016754362,0.00040271392,0.0005177266,0.00054747215,1.5502506e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037103666,0.0005090199,0.000031585092,0.0005706321,0.00024588328,0.000028588865,0.0020029077,0.025201036,0.0010691844,0.96869904,0.0000553535,0.0015496477],"study_design_scores_gemma":[0.0011614624,0.00054789986,0.000020172722,0.0005997366,0.00009183685,0.00008161789,0.00017016995,0.45446038,0.0035204275,0.5390255,0.00009045376,0.00023034729],"about_ca_topic_score_codex":0.000025225965,"about_ca_topic_score_gemma":7.243319e-8,"teacher_disagreement_score":0.49855578,"about_ca_system_score_codex":0.000098999546,"about_ca_system_score_gemma":0.00032556223,"threshold_uncertainty_score":0.9999334},"labels":[],"label_agreement":null},{"id":"W4400485157","doi":"10.61091/jcmcc120-22","title":"Construction of Financial Bill Recognition Model Based on Deep Learning","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Social Science Planning Project of Shandong Province","keywords":"Artificial intelligence; Deep learning; Computer science; Finance; Business","score_opus":0.07861500679816442,"score_gpt":0.3208441827489801,"score_spread":0.24222917595081567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66649795,0.00025330158,0.31939974,0.00074090564,0.01144019,0.00029982722,0.0000192084,0.00010762374,0.0012412745],"genre_scores_gemma":[0.97844625,0.000032820328,0.021040909,0.000014163086,0.0004419512,0.0000017702911,0.0000023656994,0.000015995502,0.0000037547154],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970569,0.0001116249,0.0013262057,0.00025789678,0.00105941,0.00018795115],"domain_scores_gemma":[0.9959563,0.0019812412,0.0009766814,0.00026538147,0.0007331056,0.00008728686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035043668,0.00018084324,0.00053843536,0.00048964215,0.0002161395,0.00031254298,0.00047183057,0.00019746735,0.000012147465],"category_scores_gemma":[0.0036949515,0.00012496175,0.00019461173,0.0007772947,0.00014959423,0.00022582021,0.00014152663,0.0006067083,0.0000067302362],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006129748,0.0002659503,0.00005922597,0.00008509091,0.000022546417,0.0000074150007,0.00027006646,0.002598325,0.00048467182,0.7893064,0.00038259453,0.20645641],"study_design_scores_gemma":[0.00061891315,0.00038486082,0.000019726656,0.00024388212,0.000032083764,0.000019332518,0.00016999696,0.3620885,0.0007319964,0.6349564,0.00063445873,0.000099819394],"about_ca_topic_score_codex":0.0000031792567,"about_ca_topic_score_gemma":1.7676018e-7,"teacher_disagreement_score":0.3594902,"about_ca_system_score_codex":0.000052133713,"about_ca_system_score_gemma":0.00017611045,"threshold_uncertainty_score":0.5095792},"labels":[],"label_agreement":null},{"id":"W4400485164","doi":"10.61091/jcmcc120-29","title":"Garden Ecological Quality Evaluation Based on Green Landscape Image Semantic Segmentation Model","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Segmentation; Computer science; Geography; Environmental resource management; Ecology; Artificial intelligence; Environmental science; Biology; Epistemology; Philosophy","score_opus":0.08567047003429308,"score_gpt":0.39935556405275696,"score_spread":0.3136850940184639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90552664,0.00032074912,0.014485433,0.0029230884,0.018493645,0.0012450423,0.000008779562,0.00014501107,0.056851637],"genre_scores_gemma":[0.9956476,0.000021821243,0.0028045345,0.000034486337,0.0014086097,0.0000037946288,0.000002741055,0.000018334254,0.00005808305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99602747,0.00067745545,0.00077627524,0.00023305668,0.0019909267,0.00029481226],"domain_scores_gemma":[0.9967719,0.0016836469,0.00040549133,0.00016119386,0.0007933801,0.00018443905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01043798,0.00017861144,0.00042651966,0.00024623837,0.0004405935,0.00061373034,0.00036061482,0.00017292098,0.00008296536],"category_scores_gemma":[0.0012275563,0.00015561344,0.00016813393,0.00030948696,0.00014617715,0.00031726292,0.000105153966,0.00050474517,0.000010371621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014154275,0.0007139108,0.0002595812,0.00034061377,0.00009470452,0.00005226691,0.00566685,0.00077773497,0.00022772404,0.98312783,0.0014119191,0.007185295],"study_design_scores_gemma":[0.0020486768,0.0005379593,0.00006315374,0.0002838372,0.000085513995,0.0000030844205,0.0013646202,0.4952781,0.000059426206,0.49953786,0.0005491725,0.00018859853],"about_ca_topic_score_codex":0.000043592085,"about_ca_topic_score_gemma":0.0000035623746,"teacher_disagreement_score":0.49450037,"about_ca_system_score_codex":0.00026395373,"about_ca_system_score_gemma":0.0008031489,"threshold_uncertainty_score":0.63457316},"labels":[],"label_agreement":null},{"id":"W4400485170","doi":"10.61091/jcmcc120-25","title":"Problems and Effective Countermeasures in Joint and Several Liability of Civil and Commercial Law Based on Deep Learning Assessment","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Joint (building); Law; Legal liability; Liability; Joint and several liability; Civil law (Civil law); Political science; Law and economics; Business; Engineering; Civil engineering; Commercial law; Economics","score_opus":0.018418245797169924,"score_gpt":0.3113090648345038,"score_spread":0.2928908190373339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99541575,0.0006854689,0.00087211153,0.0002260293,0.0011445695,0.0005769377,0.0000016924877,0.000013037254,0.0010644195],"genre_scores_gemma":[0.9990828,0.00011146048,0.00052270776,0.000025569043,0.0002320415,0.0000045284655,0.0000012247953,0.000018149321,0.0000015130494],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99792635,0.00023727938,0.0006680562,0.00021824957,0.0007147067,0.00023536145],"domain_scores_gemma":[0.9975768,0.001586595,0.00024627236,0.00009503837,0.00021812807,0.00027717298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025585997,0.00020670766,0.0007873234,0.00018741496,0.00012042594,0.00012243658,0.00005266057,0.00012123769,0.000003965902],"category_scores_gemma":[0.00082968647,0.00015473385,0.000072629926,0.0001437442,0.00023368486,0.0001030689,0.000105181156,0.0007877748,1.3493194e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028468617,0.006227714,0.05767028,0.017986584,0.0011116592,0.00082740764,0.009001202,0.00024503184,0.001585526,0.8549907,0.000067050685,0.047439985],"study_design_scores_gemma":[0.04218862,0.024305461,0.08900552,0.017529616,0.00065224926,0.00043781515,0.0007010303,0.333829,0.000633939,0.4895431,0.00052625174,0.0006474077],"about_ca_topic_score_codex":0.00003870537,"about_ca_topic_score_gemma":0.0000053751005,"teacher_disagreement_score":0.36544758,"about_ca_system_score_codex":0.000118277385,"about_ca_system_score_gemma":0.00013518441,"threshold_uncertainty_score":0.6309863},"labels":[],"label_agreement":null},{"id":"W4400485249","doi":"10.61091/jcmcc120-19","title":"Identification of Traditional Culture Communication in Social Media Based on Information Dissemination Tree","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Social media; Tree (set theory); Information Dissemination; Computer science; Internet privacy; Data science; World Wide Web; Biology; Botany; Mathematics","score_opus":0.020324318342895435,"score_gpt":0.2975806916284648,"score_spread":0.27725637328556935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90330166,0.0019073146,0.007610364,0.006013749,0.040354416,0.0014166478,0.000052358424,0.00016463564,0.03917888],"genre_scores_gemma":[0.9984681,0.00007811468,0.00039113406,0.000009947343,0.0010262264,0.0000030357742,0.000011300703,0.000007351778,0.000004762435],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979554,0.00016482595,0.0008919223,0.000081023805,0.0007683969,0.00013845888],"domain_scores_gemma":[0.9975062,0.0012760523,0.00064101396,0.00007627233,0.0004423498,0.00005810351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021805856,0.000120437624,0.00032140178,0.00028238868,0.0003065242,0.00016901409,0.000209968,0.00015036244,0.0000044526746],"category_scores_gemma":[0.0013965782,0.000105765415,0.00010693088,0.0004496057,0.0001469226,0.00049624144,0.000026353375,0.00032214413,0.0000013314128],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037736438,0.00024962798,0.000031598796,0.00015060502,0.000023237319,0.0000018956861,0.092838645,0.000012335991,0.00013934486,0.8998697,0.0013671315,0.0052781333],"study_design_scores_gemma":[0.0029722427,0.00042770692,0.0017482882,0.0021653206,0.00016365208,0.000006244478,0.04441257,0.0088991765,0.00077657204,0.9324147,0.0056420853,0.00037140326],"about_ca_topic_score_codex":0.00000432267,"about_ca_topic_score_gemma":0.0000048339043,"teacher_disagreement_score":0.09516649,"about_ca_system_score_codex":0.00014203727,"about_ca_system_score_gemma":0.00017582093,"threshold_uncertainty_score":0.43129885},"labels":[],"label_agreement":null},{"id":"W4400485339","doi":"10.61091/jcmcc120-18","title":"The Sustainable Development of Agricultural Economy Based on Panel Data Under the Background of New Rural Development","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainable development; Agriculture; Panel data; Rural development; Rural economy; Agricultural economics; Business; Development (topology); Economics; Natural resource economics; Economic system; Geography; Political science; Mathematics; Econometrics","score_opus":0.044969222975491774,"score_gpt":0.2777019877039845,"score_spread":0.23273276472849275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98368967,0.00080947304,0.002510793,0.0019815816,0.006631152,0.00044934722,8.159363e-7,0.000018943118,0.003908229],"genre_scores_gemma":[0.99662256,0.000051847208,0.002473847,0.000020295816,0.00064048934,0.0000017612848,0.0000032950302,0.000014388493,0.00017151506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974115,0.00012827637,0.0010820285,0.00015829652,0.0008813179,0.00033857918],"domain_scores_gemma":[0.99732,0.0013974619,0.0006759736,0.00024215657,0.00023096846,0.00013341891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037586256,0.00020106601,0.00039050943,0.0000875216,0.0008871792,0.00033003534,0.0009240856,0.00009247629,0.000008996344],"category_scores_gemma":[0.00010067284,0.00011385221,0.00009589181,0.00028005338,0.00022442277,0.0002357976,0.00033048438,0.00028139452,0.0000022953525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004758485,0.00020522479,0.000044875902,0.0001552708,0.0001894045,0.000003831419,0.008331534,0.00017308487,0.000029371164,0.98636913,0.0017676527,0.0026830484],"study_design_scores_gemma":[0.004581353,0.0005797932,0.009553912,0.0021431786,0.0002607199,0.000022402246,0.17025644,0.0030582747,0.0013314947,0.5359986,0.27131215,0.00090174185],"about_ca_topic_score_codex":0.000031412612,"about_ca_topic_score_gemma":0.0000049097544,"teacher_disagreement_score":0.45037055,"about_ca_system_score_codex":0.0002572762,"about_ca_system_score_gemma":0.0015913724,"threshold_uncertainty_score":0.68235546},"labels":[],"label_agreement":null},{"id":"W4400485340","doi":"10.61091/jcmcc120-16","title":"Approximation Algorithms for the Submodular Hitting Set Problem","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Submodular set function; Set (abstract data type); Algorithm; Approximation algorithm; Computer science; Set function; Mathematical optimization; Set cover problem; Mathematics","score_opus":0.018931364308404343,"score_gpt":0.25242808147559037,"score_spread":0.23349671716718604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485340","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033934146,0.0049278988,0.909318,0.00052738935,0.04815963,0.001234502,0.00001078725,0.00042780803,0.0014598892],"genre_scores_gemma":[0.9685505,0.00013156657,0.02913658,0.00001137488,0.0020792359,0.000008685191,0.0000035651067,0.00006842277,0.000010045012],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984215,0.000033998796,0.00080854184,0.00013031691,0.00035527942,0.00025034815],"domain_scores_gemma":[0.99831176,0.0009796016,0.00023139776,0.00013818608,0.00025444565,0.00008461074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017898296,0.00021520707,0.00037201948,0.0001403096,0.00023589809,0.00052822713,0.00024301102,0.00012038706,0.0000041471158],"category_scores_gemma":[0.00014561256,0.00015891879,0.00015942338,0.0002921022,0.000039632712,0.00018787848,0.00005279988,0.00037662374,0.0000016418629],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019949659,0.00008405304,0.000011931681,0.0017968421,0.00034152382,0.000007547179,0.0038613444,0.029813955,0.00041132476,0.9439267,0.0017863995,0.017938437],"study_design_scores_gemma":[0.000994019,0.00015279982,0.0000028332477,0.00045328928,0.00010671325,0.000060550312,0.00020831876,0.74695426,0.00041152313,0.2438685,0.0066091525,0.00017804616],"about_ca_topic_score_codex":0.000001372155,"about_ca_topic_score_gemma":7.824904e-8,"teacher_disagreement_score":0.9346164,"about_ca_system_score_codex":0.000066475826,"about_ca_system_score_gemma":0.00005538537,"threshold_uncertainty_score":0.648052},"labels":[],"label_agreement":null},{"id":"W4400485351","doi":"10.61091/jcmcc120-13","title":"Stability Analysis of Tunnel Rock Mechanical Parameters Based on Multi-Source Sensor Data Fusion","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Geomechanics and Mining Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Suzhou University","keywords":"Sensor fusion; Stability (learning theory); Fusion; Geology; Computer science; Geotechnical engineering; Artificial intelligence; Machine learning","score_opus":0.029848762669192362,"score_gpt":0.2506014196361214,"score_spread":0.22075265696692906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.587419,0.0002149389,0.4003342,0.000022339747,0.011679501,0.00015122337,0.000026152962,0.00011787156,0.000034829267],"genre_scores_gemma":[0.9866321,0.000021130618,0.013047523,0.0000047042627,0.0002330641,7.848566e-7,0.000009889073,0.00004957953,0.0000012349589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978278,0.000055024488,0.0010190759,0.00025789472,0.0005702062,0.0002699707],"domain_scores_gemma":[0.99757355,0.0013240546,0.00025043916,0.000504064,0.00018622896,0.00016167111],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001681997,0.00028052035,0.0008752325,0.00047082445,0.000068947025,0.00013910422,0.00045520655,0.0001636714,0.000008162502],"category_scores_gemma":[0.00055304996,0.00025144237,0.0002526768,0.00075458764,0.000017217515,0.000120381774,0.00018940314,0.00050892786,0.0000010833876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019795186,0.0015744633,0.00007369432,0.0033579513,0.0041386494,0.00010650076,0.0027231425,0.84518063,0.023673784,0.11110203,0.00041351264,0.0074577136],"study_design_scores_gemma":[0.001075283,0.00029696268,0.000016603997,0.00045943385,0.00071575504,0.000008569462,0.00019939142,0.9908093,0.0018453948,0.00413458,0.00020767406,0.00023103495],"about_ca_topic_score_codex":0.000004827914,"about_ca_topic_score_gemma":4.761498e-7,"teacher_disagreement_score":0.39921314,"about_ca_system_score_codex":0.000082977196,"about_ca_system_score_gemma":0.000055963676,"threshold_uncertainty_score":0.9999938},"labels":[],"label_agreement":null},{"id":"W4400485372","doi":"10.61091/jcmcc120-12","title":"Objective Evaluation of Automatic Ambulance Performance and Weight Determination Through Analytic Hierarchy Process and Gray Correlation Theory","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Quality Function Deployment in Product Design","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gray (unit); Analytic hierarchy process; Correlation; Statistics; Computer science; Operations research; Mathematics; Medicine; Nuclear medicine; Geometry","score_opus":0.021385826636680698,"score_gpt":0.2803243101184377,"score_spread":0.258938483481757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98359823,0.0009378621,0.007889148,0.00010413295,0.0063023474,0.00042147687,5.4699245e-7,0.00005044652,0.00069579727],"genre_scores_gemma":[0.9980659,0.00005412034,0.000639144,0.000023158545,0.0011791548,0.000004515897,0.0000019263387,0.000027281181,0.0000048348093],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976578,0.00011520949,0.0009197171,0.00023848543,0.0008993241,0.00016946501],"domain_scores_gemma":[0.99716717,0.00063266634,0.0010303844,0.00013320557,0.0010132723,0.000023292925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055778334,0.00021983101,0.0004841472,0.0003594603,0.00021003245,0.0003719086,0.00012290325,0.0000999611,0.000010218877],"category_scores_gemma":[0.0009480522,0.0001889356,0.000063982276,0.0005063784,0.0001254566,0.0014821746,0.00009133141,0.00028430801,0.0000015950335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001521985,0.0003151754,0.0025095863,0.005237457,0.00021515749,0.0000074837744,0.0037361425,0.00037205996,0.00024103744,0.94643444,0.00009134145,0.04068795],"study_design_scores_gemma":[0.001223912,0.00012696758,0.00088514254,0.0008360842,0.000403068,0.0000373075,0.00033779774,0.42768,0.00015716707,0.56811786,0.000049824597,0.00014489012],"about_ca_topic_score_codex":0.000004325103,"about_ca_topic_score_gemma":1.6773022e-7,"teacher_disagreement_score":0.42730793,"about_ca_system_score_codex":0.000074091906,"about_ca_system_score_gemma":0.00009883206,"threshold_uncertainty_score":0.7704571},"labels":[],"label_agreement":null},{"id":"W4400485376","doi":"10.61091/jcmcc120-14","title":"An Image Identification System for Agricultural Items Based on Machine Vision","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Machine vision; Computer vision; Artificial intelligence; Agriculture; Computer science; Image (mathematics); Geography; Biology; Botany","score_opus":0.009006641324054895,"score_gpt":0.24400051958281424,"score_spread":0.23499387825875934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95089483,0.0004013874,0.015926853,0.00019130319,0.031067947,0.000375551,0.000025767606,0.0001132512,0.0010030821],"genre_scores_gemma":[0.995526,0.0000073067754,0.002619354,0.000009729805,0.0017959102,1.4303376e-7,0.00002554252,0.000011457803,0.0000045336446],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99827117,0.00010589491,0.0007207291,0.00021111035,0.0004754741,0.000215639],"domain_scores_gemma":[0.99825287,0.0007612596,0.00039042727,0.0001591753,0.00026916983,0.00016709432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016253266,0.0002003389,0.00038987052,0.00017475072,0.00028267273,0.0008073062,0.00020903826,0.0001076574,0.000005732037],"category_scores_gemma":[0.0001280538,0.00013345365,0.00015657762,0.00020906093,0.000034777713,0.00028319267,0.000008399551,0.00026071828,0.000005997505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020658786,0.0019965428,0.0013484699,0.007518285,0.00054848974,0.00034733885,0.004979239,0.017392298,0.015432415,0.741595,0.0029562912,0.20381977],"study_design_scores_gemma":[0.0018549652,0.0018759044,0.0014480241,0.00094093336,0.00010485413,0.00010470069,0.00032847907,0.9619111,0.0007387466,0.029873187,0.0005650759,0.00025406614],"about_ca_topic_score_codex":0.00003019932,"about_ca_topic_score_gemma":0.000001654479,"teacher_disagreement_score":0.94451874,"about_ca_system_score_codex":0.000023833984,"about_ca_system_score_gemma":0.000061706574,"threshold_uncertainty_score":0.7784872},"labels":[],"label_agreement":null},{"id":"W4400485430","doi":"10.61091/jcmcc120-11","title":"The Construction of Fuzzy Prediction Model of Stock Price Rise and Fall Based on Machine Learning Technology","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock price; Stock (firearms); Computer science; Artificial intelligence; Engineering; Mechanical engineering; Geology; Series (stratigraphy)","score_opus":0.03626261987534318,"score_gpt":0.32303448264835666,"score_spread":0.2867718627730135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9084555,0.00084088225,0.07915509,0.00029004613,0.009910478,0.00027354126,0.0000066827592,0.000042692984,0.0010251258],"genre_scores_gemma":[0.97722673,0.000043333464,0.02243949,0.0000021379606,0.00025580492,0.0000013163041,1.9404484e-7,0.000020928792,0.00001004978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99610406,0.0003927588,0.0017224987,0.00025246228,0.0013163957,0.00021185176],"domain_scores_gemma":[0.98901856,0.007958799,0.0017051942,0.00027567364,0.00094881153,0.00009297357],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.010329204,0.00020869527,0.0006900213,0.0006473438,0.0003165908,0.00021591806,0.00044752905,0.00018493393,0.0000018156456],"category_scores_gemma":[0.0095683895,0.00013875117,0.00015555766,0.000874882,0.00033075523,0.0001442902,0.00021407189,0.00072478113,2.9760864e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046417714,0.00025387804,0.002946289,0.0002728404,0.000114047245,0.000006333278,0.0009017117,0.006785241,0.0013899086,0.90321153,0.000097074604,0.08355696],"study_design_scores_gemma":[0.0008451907,0.000714378,0.00005548603,0.00031578878,0.000047578338,0.000041353665,0.00021074618,0.50557464,0.00036999342,0.49157974,0.00017835654,0.00006677076],"about_ca_topic_score_codex":0.0000036367558,"about_ca_topic_score_gemma":2.2008577e-7,"teacher_disagreement_score":0.49878937,"about_ca_system_score_codex":0.00005493366,"about_ca_system_score_gemma":0.00020021823,"threshold_uncertainty_score":0.9987744},"labels":[],"label_agreement":null},{"id":"W4400485602","doi":"10.61091/jcmcc120-15","title":"Some Convex Polytopes Joining Paths and Their Metric Dimension","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Polytope; Dimension (graph theory); Convex polytope; Regular polygon; Mathematics; Metric (unit); Convex body; Combinatorics; Convex analysis; Geometry; Convex hull; Convex optimization; Economics; Operations management","score_opus":0.008892237614099886,"score_gpt":0.21321134951999665,"score_spread":0.20431911190589677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9483681,0.019010453,0.0019977891,0.00004511849,0.02981741,0.00017512466,0.0000028829509,0.00016960177,0.00041351927],"genre_scores_gemma":[0.9972577,0.00031643352,0.00033847062,0.000011176996,0.0020149099,0.0000012567931,6.545909e-7,0.000055632794,0.000003776761],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982341,0.00008554375,0.00088318007,0.00017561483,0.00032306067,0.00029850978],"domain_scores_gemma":[0.998444,0.0008653488,0.0002190184,0.00015251196,0.00013083094,0.00018824356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015180348,0.0003178441,0.00074205984,0.00040333671,0.00017992863,0.00038866978,0.00018944695,0.00016372761,0.0000034455234],"category_scores_gemma":[0.00013168556,0.00024707563,0.00015955603,0.00039968875,0.00006538124,0.00034080635,0.0001111649,0.00052586483,0.0000027162782],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002321326,0.00008450968,0.000054518696,0.0009323676,0.00028719672,0.000058202273,0.0029477987,0.00013390447,0.0046317964,0.98591715,0.00033027132,0.004599044],"study_design_scores_gemma":[0.0019440805,0.0005719,0.000040787483,0.001693564,0.00013754095,0.00049755804,0.001762759,0.090993345,0.00433521,0.8955909,0.0019334613,0.0004989164],"about_ca_topic_score_codex":0.000001928839,"about_ca_topic_score_gemma":3.799395e-8,"teacher_disagreement_score":0.090859435,"about_ca_system_score_codex":0.000049645798,"about_ca_system_score_gemma":0.000039128892,"threshold_uncertainty_score":0.99999815},"labels":[],"label_agreement":null},{"id":"W4400485608","doi":"10.61091/jcmcc120-20","title":"( 2 , w ) -Threshold Schemes Constructed from Orthogonal Resolutions","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Computer science","score_opus":0.009828368723264652,"score_gpt":0.249207220051417,"score_spread":0.23937885132815234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8737419,0.004587373,0.10485803,0.00009820135,0.014295104,0.00018499911,0.000015167366,0.0006150725,0.0016041206],"genre_scores_gemma":[0.9764604,0.00011817887,0.021970702,0.0000071433715,0.0013842009,0.0000017244824,0.0000037646396,0.000050973784,0.0000028924371],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980114,0.000031915297,0.0009976481,0.00018515758,0.0004950925,0.0002787807],"domain_scores_gemma":[0.99860203,0.0005760099,0.00021198182,0.00018934066,0.00024132743,0.00017930646],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043803535,0.0002785812,0.0006571078,0.00024668293,0.000134232,0.0002454602,0.000278846,0.000161857,0.00002789229],"category_scores_gemma":[0.00016154,0.00024854668,0.00022160097,0.0004968091,0.00011357282,0.00026943203,0.00011785502,0.0006785094,0.0000048468546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026263106,0.00015108992,0.00022142802,0.00024408389,0.00053879747,0.00009594148,0.00038080852,0.00043989834,0.00597703,0.9851493,0.0015762579,0.0051990794],"study_design_scores_gemma":[0.0009150798,0.00017767378,0.00004841807,0.00066843233,0.0002110884,0.000091366295,0.00015035966,0.11012064,0.003356852,0.87850887,0.0053858184,0.00036540692],"about_ca_topic_score_codex":0.0000036920642,"about_ca_topic_score_gemma":2.019019e-7,"teacher_disagreement_score":0.109680735,"about_ca_system_score_codex":0.00010661919,"about_ca_system_score_gemma":0.00007200805,"threshold_uncertainty_score":0.99999666},"labels":[],"label_agreement":null},{"id":"W4400485647","doi":"10.61091/jcmcc120-17","title":"A Sufficient Condition for Fractional ( 2 , b , k ) -Critical Covered Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics","score_opus":0.02003362452505353,"score_gpt":0.32568461532104936,"score_spread":0.30565099079599584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485647","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0863026,0.000925795,0.8842521,0.0006593003,0.027008597,0.00038914807,0.000009692032,0.00011582172,0.00033697204],"genre_scores_gemma":[0.97026664,0.000025913634,0.028655896,0.000024149123,0.0009831407,0.0000068240583,0.0000019233535,0.000028259808,0.000007226282],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973301,0.000118697535,0.00090994843,0.00032965277,0.00089167105,0.00041988696],"domain_scores_gemma":[0.99416345,0.004157282,0.0003237531,0.00025776314,0.0008567123,0.00024105424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023634848,0.00024433786,0.0005146696,0.00043921187,0.00036274135,0.00079205475,0.0006535162,0.0001393262,0.000006736554],"category_scores_gemma":[0.0012508516,0.00021776628,0.00029144788,0.00059132685,0.0001616244,0.0007425989,0.00024593397,0.0005568223,0.0000040701275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062022664,0.00032869942,0.0000085805805,0.00029084436,0.000082867606,0.000038857703,0.00052065286,0.000068567875,0.00065499294,0.99610865,0.00053568196,0.0012995581],"study_design_scores_gemma":[0.001496289,0.0009104882,0.000013557153,0.00034814386,0.00004049567,0.00024195401,0.00010380233,0.09160508,0.0005443141,0.9019928,0.002491405,0.00021167181],"about_ca_topic_score_codex":0.0000010311404,"about_ca_topic_score_gemma":4.8580205e-8,"teacher_disagreement_score":0.88396406,"about_ca_system_score_codex":0.00011415391,"about_ca_system_score_gemma":0.0002767102,"threshold_uncertainty_score":0.8880251},"labels":[],"label_agreement":null},{"id":"W4400485947","doi":"10.61091/jcmcc120-03","title":"Carathéodory Number of P 3 -Convexity of Claw-Free Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Claw; Convexity; Mathematics; Combinatorics; Biology; Economics","score_opus":0.01864598468377219,"score_gpt":0.30034493183276073,"score_spread":0.2816989471489885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87197673,0.0016918377,0.103535295,0.00018238432,0.019710839,0.0003407092,0.000007346643,0.000086513595,0.0024683173],"genre_scores_gemma":[0.9753581,0.00007438433,0.024144176,0.000006580293,0.00037757115,0.0000011622091,3.2775378e-7,0.000029223373,0.000008424197],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963892,0.00021812823,0.0015391984,0.00029490734,0.0011837205,0.00037485667],"domain_scores_gemma":[0.99546427,0.0017047133,0.0009778707,0.0006955475,0.00095218857,0.00020543917],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030666892,0.0002853505,0.0009796413,0.0004094654,0.00012608191,0.0001844792,0.0017055436,0.00017417966,0.000008391832],"category_scores_gemma":[0.000704491,0.00024780654,0.0003752717,0.0010437235,0.0003020994,0.0005684706,0.00086005765,0.00069140195,0.000002255885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051680254,0.00032087122,0.00022822783,0.00066413,0.00016072231,0.000044080574,0.0013047126,0.000016721771,0.00148572,0.99369884,0.00019030065,0.001833973],"study_design_scores_gemma":[0.0018368969,0.0005416041,0.00006134499,0.00068808487,0.00005225729,0.00018124138,0.00013509499,0.008071513,0.0054164287,0.98256683,0.00023502494,0.0002136775],"about_ca_topic_score_codex":0.000007606553,"about_ca_topic_score_gemma":1.5533077e-7,"teacher_disagreement_score":0.103381395,"about_ca_system_score_codex":0.000057107496,"about_ca_system_score_gemma":0.0003156901,"threshold_uncertainty_score":0.99999744},"labels":[],"label_agreement":null},{"id":"W4400486002","doi":"10.61091/jcmcc120-04","title":"The Setting and Dynamic Adjustment Mechanism of Law Majors Facing the Development of Regional New Economy","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Economics; Economic system; Epistemology; Philosophy","score_opus":0.016678674007795352,"score_gpt":0.25912386454440123,"score_spread":0.24244519053660588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9570888,0.0055191093,0.0075225653,0.005191712,0.016696574,0.00083997747,0.0000013294201,0.00003564035,0.0071042534],"genre_scores_gemma":[0.9953138,0.00027317557,0.0038827173,0.000020826294,0.00045256448,0.0000015452991,4.2840165e-7,0.00001393191,0.000040998595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979483,0.00011004104,0.00096664886,0.00013234177,0.0006116464,0.0002310166],"domain_scores_gemma":[0.9977989,0.0011770993,0.0006636009,0.000102119244,0.00014402777,0.000114240065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002984744,0.0001597864,0.00034654947,0.00006750984,0.00071673194,0.00016740646,0.00031440926,0.000071922375,0.0000036328827],"category_scores_gemma":[0.00010918435,0.00010244359,0.000104962695,0.00012384546,0.00026966317,0.00014425161,0.00017516059,0.00024348273,6.268884e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017390057,0.00004327007,0.000013746328,0.00009765236,0.00013117825,0.0000017668656,0.017813481,0.0000085345755,0.000120013116,0.9758252,0.00012202024,0.0058057625],"study_design_scores_gemma":[0.0007585963,0.000102220736,0.00010720868,0.0005781893,0.00007006249,0.000017412553,0.005578667,0.0012163161,0.0003418215,0.9718712,0.019207133,0.00015116335],"about_ca_topic_score_codex":0.000036835983,"about_ca_topic_score_gemma":0.000010627861,"teacher_disagreement_score":0.038224973,"about_ca_system_score_codex":0.00013239463,"about_ca_system_score_gemma":0.00045880748,"threshold_uncertainty_score":0.5512595},"labels":[],"label_agreement":null},{"id":"W4400486009","doi":"10.61091/jcmcc120-08","title":"The t − Fibonacci sequences in some finite groups with center Z ( G ) = G ′","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Mathematical Theories and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fibonacci number; Center (category theory); Combinatorics; Mathematics; Discrete mathematics; Chemistry; Crystallography","score_opus":0.008982782556916235,"score_gpt":0.26015339256744674,"score_spread":0.2511706100105305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8924583,0.0019949402,0.07984152,0.001715151,0.015825793,0.0009015467,0.000017233013,0.000088788605,0.007156703],"genre_scores_gemma":[0.9966763,0.000031348067,0.0019326599,0.000008891966,0.0012991007,0.000006415181,0.0000011404941,0.000024041987,0.000020100138],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99851024,0.00004413226,0.000693796,0.0001538057,0.0003245124,0.0002734971],"domain_scores_gemma":[0.99754936,0.0017424594,0.00031709342,0.00016346447,0.00013178159,0.00009584913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000783653,0.00019642737,0.00037913246,0.00007354189,0.00026310177,0.00037031263,0.00027967858,0.000042627235,0.000009282643],"category_scores_gemma":[0.000056031728,0.00011741672,0.00010577195,0.0002786132,0.00013037329,0.0002517079,0.00010342777,0.00043406908,0.0000032112305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025780311,0.00016329333,0.00012526725,0.000065613385,0.00006283567,0.00000856207,0.00048431652,0.00006126365,0.000030912113,0.99605817,0.000055471286,0.002858508],"study_design_scores_gemma":[0.0010300521,0.0001889347,0.00001239802,0.00047509768,0.000032363176,0.000017756489,0.0007696574,0.0044054454,0.00013052096,0.9893993,0.003387908,0.000150572],"about_ca_topic_score_codex":0.000004121327,"about_ca_topic_score_gemma":2.523684e-7,"teacher_disagreement_score":0.10421798,"about_ca_system_score_codex":0.0000354876,"about_ca_system_score_gemma":0.0000853734,"threshold_uncertainty_score":0.4788115},"labels":[],"label_agreement":null},{"id":"W4400486010","doi":"10.61091/jcmcc120-06","title":"Optimizing Rural Landscape Planning and Design: A Random Forest Algorithm Approach for Sustainable Development","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainable development; Random forest; Landscape planning; Environmental planning; Computer science; Environmental resource management; Geography; Agroforestry; Environmental science; Artificial intelligence; Political science","score_opus":0.0128460501930889,"score_gpt":0.22026916951147918,"score_spread":0.20742311931839028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486010","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041763935,0.0053765713,0.94983304,0.000011782486,0.0022673903,0.00039243032,7.6474595e-7,0.00009363556,0.00026046642],"genre_scores_gemma":[0.81723386,0.00004551452,0.18168136,0.000003767158,0.00094446546,0.000010907176,0.0000034341801,0.00005285251,0.000023802333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99824405,0.000045324716,0.0008161045,0.00016258172,0.0003354941,0.0003964549],"domain_scores_gemma":[0.99857414,0.0007249281,0.00018213449,0.00009496878,0.00025127752,0.00017258259],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015543876,0.00029678433,0.00071381073,0.0003160174,0.00026956634,0.00061098917,0.00018096095,0.00013984034,0.0000021707083],"category_scores_gemma":[0.00011398587,0.00025292294,0.00014615504,0.00027536674,0.00003635318,0.0002674982,0.00008445972,0.00032620272,3.957674e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011419458,0.0011712458,0.00037194358,0.013657329,0.0060161436,0.0007642172,0.04563622,0.22307608,0.0014403446,0.626257,0.008322581,0.07214498],"study_design_scores_gemma":[0.003501817,0.00028175517,0.000007029919,0.00039887385,0.00022156,0.00008993652,0.0016588325,0.92998135,0.00031311234,0.062515646,0.00070254185,0.00032752435],"about_ca_topic_score_codex":0.0000020567652,"about_ca_topic_score_gemma":4.2009592e-8,"teacher_disagreement_score":0.77546996,"about_ca_system_score_codex":0.00008322499,"about_ca_system_score_gemma":0.00008547777,"threshold_uncertainty_score":0.9999923},"labels":[],"label_agreement":null},{"id":"W4400486017","doi":"10.61091/jcmcc120-07","title":"On Vertex-Disjoint Chorded Cycles and Degree Sum Conditions","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Emory University","keywords":"Degree (music); Disjoint sets; Vertex (graph theory); Combinatorics; Mathematics; Discrete mathematics; Graph; Physics","score_opus":0.03249054303481505,"score_gpt":0.30567342501009587,"score_spread":0.27318288197528084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98760384,0.00044513217,0.0018625039,0.00039282054,0.0071330145,0.00032221267,0.000010868556,0.00010411926,0.0021254946],"genre_scores_gemma":[0.99664074,0.000053892927,0.0026164132,0.000024913717,0.0005928074,0.0000053069784,0.0000018188481,0.000047432328,0.00001669051],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979609,0.00010655107,0.00093719375,0.00024848047,0.00046503337,0.0002818108],"domain_scores_gemma":[0.9956498,0.0032104235,0.0004384554,0.00025212858,0.00023632319,0.00021286988],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014113032,0.00029929486,0.00063116575,0.00027756032,0.00038387426,0.00035252573,0.00025274628,0.00015659802,0.00001930229],"category_scores_gemma":[0.000751972,0.00025047097,0.00019444658,0.00030341937,0.00016082037,0.0001804036,0.0001324655,0.0005855316,0.0000061501255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036430632,0.0003983092,0.000012864333,0.00031828054,0.00014502073,0.000025009218,0.0008153089,0.0000025971588,0.0004962892,0.99541384,0.00127171,0.0010643159],"study_design_scores_gemma":[0.0015131038,0.00047326687,0.000063241765,0.0009137257,0.00019353132,0.00018058026,0.00030693662,0.0018913095,0.00051588455,0.9931332,0.00056137145,0.00025384102],"about_ca_topic_score_codex":0.000002262612,"about_ca_topic_score_gemma":3.5130208e-7,"teacher_disagreement_score":0.00903689,"about_ca_system_score_codex":0.000053215394,"about_ca_system_score_gemma":0.000086915694,"threshold_uncertainty_score":0.99999475},"labels":[],"label_agreement":null},{"id":"W4400486032","doi":"10.61091/jcmcc120-09","title":"Sufficient Conditions for a Graph k G Admitting all [ 1 , k ] -factors","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Graph; Mathematics; Computer science","score_opus":0.014412211179939178,"score_gpt":0.25017638234587464,"score_spread":0.23576417116593545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95379883,0.0013665439,0.011127206,0.000035422105,0.03261346,0.00033500232,0.000014122966,0.00019707622,0.00051232905],"genre_scores_gemma":[0.9979808,0.000027914826,0.0006452026,0.000006340151,0.0012656511,0.0000050663384,0.000004290545,0.000060473092,0.000004306357],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981126,0.000049657985,0.0009831036,0.00016151628,0.0003490905,0.00034403388],"domain_scores_gemma":[0.99797237,0.0012321796,0.00023616794,0.00014848482,0.00022168382,0.0001891337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013246886,0.00028249118,0.0005795784,0.00031659563,0.00019833044,0.00033473645,0.00024398677,0.00014963464,0.0000061138317],"category_scores_gemma":[0.00019522886,0.00024511767,0.00033197325,0.00031403982,0.000057374797,0.0001943682,0.0000463366,0.00039222,0.0000018854508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016446103,0.00013732178,0.000041222716,0.0009490966,0.00032320764,0.00001723552,0.0029056042,0.00071980414,0.0017795649,0.9919653,0.00092719396,0.00021799948],"study_design_scores_gemma":[0.0020168158,0.0006634704,0.000036399502,0.001277587,0.00030520555,0.00015668783,0.0016513224,0.07174595,0.0017987576,0.9141343,0.0057284697,0.00048503463],"about_ca_topic_score_codex":0.0000012682189,"about_ca_topic_score_gemma":1.2409802e-7,"teacher_disagreement_score":0.077831,"about_ca_system_score_codex":0.000067812565,"about_ca_system_score_gemma":0.00005466477,"threshold_uncertainty_score":0.99956083},"labels":[],"label_agreement":null},{"id":"W4400486035","doi":"10.61091/jcmcc120-02","title":"An Empirical Analysis of the Content of Vocational Students Sports Activities Based on Video Data Segmentation and Mining From the Perspective of Motor Development","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Government of Jiangsu Province; Jiangsu University","keywords":"Perspective (graphical); Vocational education; Segmentation; Content (measure theory); Content analysis; Computer science; Mathematics education; Psychology; Artificial intelligence; Pedagogy; Sociology; Mathematics; Social science","score_opus":0.04629729892139995,"score_gpt":0.31713171871725987,"score_spread":0.2708344197958599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99634546,0.00008589903,0.0011075998,0.0005419168,0.0016548387,0.0001703431,0.0000114254,0.000009504853,0.00007301318],"genre_scores_gemma":[0.998462,0.000003492264,0.0011578185,0.00005767675,0.0002942203,0.0000013559555,0.0000124195,0.000010148324,8.44833e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982323,0.00003540863,0.0007919581,0.00015893886,0.0006902338,0.0000911475],"domain_scores_gemma":[0.99739707,0.0007663238,0.0010561509,0.00028535485,0.00048404548,0.000011054155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012777033,0.00013308127,0.0004267995,0.00033491326,0.00015866819,0.00012310274,0.0005125443,0.0000682785,0.0000056969625],"category_scores_gemma":[0.00030919857,0.00008666689,0.00008429102,0.00071896653,0.00016034459,0.00030796332,0.00027235228,0.00019668519,6.715274e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024229097,0.0019444652,0.21701488,0.00037674952,0.0024952937,0.000004952102,0.0054335715,0.00023105618,0.0029854248,0.7651472,0.00023025574,0.0038938406],"study_design_scores_gemma":[0.0058763833,0.0005624517,0.52183074,0.0029670456,0.0052072736,0.000005950561,0.039808318,0.18468596,0.0035337338,0.23465012,0.0002901282,0.0005819032],"about_ca_topic_score_codex":0.00006780175,"about_ca_topic_score_gemma":0.0000051371185,"teacher_disagreement_score":0.5304971,"about_ca_system_score_codex":0.000039725477,"about_ca_system_score_gemma":0.00010667866,"threshold_uncertainty_score":0.35341734},"labels":[],"label_agreement":null},{"id":"W4400486064","doi":"10.61091/jcmcc120-01","title":"Fusion of Multiple Basic Element Features for Airborne LiDAR in-house Surveys","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lidar; Fusion; Remote sensing; Element (criminal law); Sensor fusion; Computer science; Environmental science; Geology; Artificial intelligence; Political science","score_opus":0.017989598189817553,"score_gpt":0.2448519271720154,"score_spread":0.22686232898219785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856446,0.001893576,0.0009099627,0.00006917539,0.010958853,0.00028236906,0.000019181078,0.000035683282,0.0001866472],"genre_scores_gemma":[0.99737537,0.000073406736,0.0018156167,0.000006942173,0.0006985199,5.42572e-7,0.0000060824805,0.000015164466,0.000008329064],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99794793,0.00021562354,0.0009166997,0.00018638941,0.00045176304,0.0002815892],"domain_scores_gemma":[0.99746007,0.0016687489,0.00039049884,0.00012080615,0.00024088364,0.00011898048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039754068,0.00020641772,0.0005803433,0.00017446467,0.00012890612,0.00016144128,0.00024560184,0.00012170614,0.000019954896],"category_scores_gemma":[0.00044765972,0.00015566708,0.00017463593,0.00030888076,0.000051940973,0.00018267483,0.000035287547,0.00032642006,0.000002114602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001880616,0.0029266626,0.22433801,0.009912463,0.0010765289,0.00042271844,0.02222046,0.003388513,0.0045378786,0.35101616,0.0037701929,0.37450978],"study_design_scores_gemma":[0.018435137,0.007854753,0.2080655,0.0059838467,0.00035504586,0.00026801438,0.0036728943,0.104068026,0.0050599356,0.63997173,0.004598228,0.0016668707],"about_ca_topic_score_codex":0.00013499222,"about_ca_topic_score_gemma":0.000053145737,"teacher_disagreement_score":0.3728429,"about_ca_system_score_codex":0.000018198194,"about_ca_system_score_gemma":0.00010164217,"threshold_uncertainty_score":0.6347919},"labels":[],"label_agreement":null},{"id":"W4400486093","doi":"10.61091/jcmcc120-10","title":"RICE: A Dataset and Baseline for Cloud Removal in Remote Sensing Images","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Baseline (sea); Cloud computing; Remote sensing; Environmental science; Computer science; Geography; Geology; Operating system; Oceanography","score_opus":0.01613653581832174,"score_gpt":0.2685562967376969,"score_spread":0.2524197609193751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5867524,0.005427808,0.36855552,0.000424461,0.03731695,0.0007372116,0.00006989115,0.00023592985,0.00047981364],"genre_scores_gemma":[0.9324716,0.00019353598,0.065300696,0.000014079161,0.00191572,1.6044592e-7,0.000019609675,0.00007985308,0.000004781242],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818075,0.000072140625,0.00094303355,0.00021148453,0.00030604898,0.00028656618],"domain_scores_gemma":[0.9977511,0.0015331466,0.00022361681,0.00019099268,0.00019687832,0.00010426988],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022507187,0.00025483084,0.0005505992,0.00029991803,0.00009873209,0.0003903077,0.00013988723,0.00014229702,5.018484e-7],"category_scores_gemma":[0.000905447,0.0002454883,0.0000823281,0.00030270833,0.00006165929,0.00023298617,0.0000764055,0.00046386212,0.0000010639181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045449825,0.00060720247,0.000020989743,0.0168024,0.00106006,0.0020588303,0.008737735,0.0031106225,0.15024807,0.28878668,0.048496846,0.47961605],"study_design_scores_gemma":[0.0019982937,0.00015603327,0.000015039891,0.0011264877,0.00010234742,0.0006983166,0.00018151819,0.7923945,0.0019215634,0.19257607,0.008603614,0.00022620804],"about_ca_topic_score_codex":0.000006608146,"about_ca_topic_score_gemma":3.3012336e-7,"teacher_disagreement_score":0.7892839,"about_ca_system_score_codex":0.00011144112,"about_ca_system_score_gemma":0.000062735926,"threshold_uncertainty_score":0.99999976},"labels":[],"label_agreement":null},{"id":"W4400486105","doi":"10.61091/jcmcc120-05","title":"The Specific Application and Meaning Expression of Folk Art in Urban Landscape Design Under the Optimized Interactive Genetic Algorithm","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Meaning (existential); Expression (computer science); Landscape design; Aesthetics; Genetic algorithm; Urban landscape; Computer science; Art; Algorithm; Artificial intelligence; Geography; Epistemology; Machine learning; Environmental science; Environmental resource management; Philosophy; Environmental planning","score_opus":0.015502668550962922,"score_gpt":0.2618611666193949,"score_spread":0.246358498068432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054858644,0.0018065615,0.9345597,0.0003154405,0.007685867,0.00039685925,5.112986e-7,0.000029183802,0.0003472411],"genre_scores_gemma":[0.9639381,0.00018305736,0.03540391,0.000007106792,0.00044168843,0.0000049823398,2.5057966e-7,0.0000157377,0.000005160296],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99821174,0.00015687577,0.00076540123,0.00019790819,0.0004628668,0.0002052113],"domain_scores_gemma":[0.99664396,0.0024159357,0.00045469555,0.0002201485,0.00018302209,0.00008222634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015672145,0.00017560762,0.0003645738,0.000106388936,0.00018155295,0.0006015745,0.00053113955,0.000067165776,6.289693e-7],"category_scores_gemma":[0.00007922398,0.00010421245,0.0000823414,0.0003359995,0.000086207554,0.00033548224,0.00030230416,0.00035589936,0.00000132523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064809705,0.00022392343,0.000019989622,0.00009000439,0.00006849781,0.000024513716,0.0038266147,0.0002930567,0.00077082956,0.9635027,0.00048607524,0.030628966],"study_design_scores_gemma":[0.0015416878,0.00044733213,0.000051068626,0.0007735396,0.000026336496,0.00010087683,0.00078712724,0.30318484,0.0015490097,0.69073534,0.00064676057,0.00015605029],"about_ca_topic_score_codex":0.0000010353363,"about_ca_topic_score_gemma":5.2386376e-8,"teacher_disagreement_score":0.90907943,"about_ca_system_score_codex":0.00003734577,"about_ca_system_score_gemma":0.00007612606,"threshold_uncertainty_score":0.58009964},"labels":[],"label_agreement":null},{"id":"W4400486206","doi":"10.61091/jcmcc121-08","title":"Graphs whose \\(l_p\\)-optimal rankings are \\(l_{\\infty}\\) Optimal","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics; Discrete mathematics","score_opus":0.057671884514077766,"score_gpt":0.3598149763912203,"score_spread":0.3021430918771425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9139602,0.0017544633,0.028550833,0.0004928409,0.053848576,0.00041971353,0.00001149618,0.00014083485,0.00082099444],"genre_scores_gemma":[0.9790697,0.000049465307,0.017641129,0.00006791555,0.0030103943,0.0000030549818,0.0000011146719,0.00009659331,0.000060626386],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9894068,0.00048460235,0.0039942306,0.000846531,0.004460465,0.00080734893],"domain_scores_gemma":[0.9871323,0.0071006725,0.002347578,0.00081050914,0.0020515525,0.00055735005],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.013063294,0.0006968494,0.0019153194,0.0015139495,0.0006287916,0.0041472386,0.0019657258,0.0004021385,0.00013801489],"category_scores_gemma":[0.0068872925,0.0005411176,0.00084318244,0.0019355955,0.0002713963,0.0011540459,0.001007048,0.0013869659,0.00007488732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047180091,0.00089764694,0.00063276466,0.00032918758,0.00040925696,0.0009814106,0.0064896494,0.00081894646,0.0014783121,0.94756186,0.011033164,0.028896026],"study_design_scores_gemma":[0.005011576,0.0008376528,0.00029037174,0.0018328257,0.00021598385,0.000833953,0.0021674214,0.08445065,0.00063915795,0.8855782,0.017304879,0.0008373037],"about_ca_topic_score_codex":0.0000074381824,"about_ca_topic_score_gemma":4.2454275e-7,"teacher_disagreement_score":0.0836317,"about_ca_system_score_codex":0.00016992528,"about_ca_system_score_gemma":0.000343723,"threshold_uncertainty_score":0.99970406},"labels":[],"label_agreement":null},{"id":"W4400486241","doi":"10.61091/jcmcc121-06","title":"Cordial Digraphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Mathematics","score_opus":0.012677258184634395,"score_gpt":0.24674896278712158,"score_spread":0.2340717046024872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68079567,0.008214447,0.1729252,0.0015426823,0.13155518,0.00047045102,0.0000026448602,0.00062236167,0.0038713408],"genre_scores_gemma":[0.9811814,0.000076029355,0.018180512,0.00004033962,0.00048598478,9.366373e-7,3.6408412e-7,0.000025002479,0.000009454196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99750185,0.00008778339,0.0010281218,0.00029507,0.0007386939,0.00034850946],"domain_scores_gemma":[0.9978515,0.000735356,0.00043159485,0.00032187827,0.00041322145,0.00024646078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018719533,0.00026915452,0.00057280425,0.00041163547,0.00023292119,0.000974257,0.00074358215,0.00014188436,0.000003732392],"category_scores_gemma":[0.00023717627,0.00021981589,0.00026181922,0.00073644455,0.0000928231,0.0005242493,0.00034277595,0.0005431667,0.000008457302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010809359,0.00016908598,0.00002444723,0.00013797452,0.00008732571,0.0000850907,0.0008915903,0.000016600981,0.00061381626,0.9909335,0.000869605,0.006160177],"study_design_scores_gemma":[0.0012785401,0.00056901184,0.000017372087,0.00051377993,0.000053818945,0.0003150346,0.000058121914,0.030336844,0.0005422297,0.9634224,0.0026357616,0.00025709413],"about_ca_topic_score_codex":0.000005779009,"about_ca_topic_score_gemma":8.149498e-8,"teacher_disagreement_score":0.30038568,"about_ca_system_score_codex":0.000040127954,"about_ca_system_score_gemma":0.00020042254,"threshold_uncertainty_score":0.9394783},"labels":[],"label_agreement":null},{"id":"W4400486250","doi":"10.61091/jcmcc121-11","title":"On Vertex Euclidean Deficiency of One-Point Union and One-Edge Union of Complete Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vertex (graph theory); Combinatorics; Euclidean geometry; Mathematics; Enhanced Data Rates for GSM Evolution; Graph; Computer science; Geometry; Artificial intelligence","score_opus":0.014268240180009285,"score_gpt":0.22321728692369866,"score_spread":0.2089490467436894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98168916,0.0014969346,0.0036647022,0.000029799523,0.011503894,0.0002194473,0.000007668959,0.000058540536,0.0013298283],"genre_scores_gemma":[0.99912375,0.00012338118,0.0004903454,0.0000025885333,0.00021292457,8.459941e-7,0.0000013799829,0.000043182918,0.0000016075342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975445,0.0001827094,0.0013009784,0.00017381058,0.00054749125,0.0002504905],"domain_scores_gemma":[0.99797755,0.00094189827,0.00047271443,0.00021929781,0.00024982067,0.00013868608],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002320197,0.0002743376,0.0008761731,0.0004213331,0.00010614587,0.00009625629,0.00025769626,0.00015682096,0.000004953175],"category_scores_gemma":[0.0001503294,0.00025542048,0.00019675636,0.00044537793,0.00012941322,0.00016557529,0.00009029394,0.0004498458,0.0000010715438],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042287316,0.00028534658,0.00004302179,0.0019645079,0.00015947768,0.000007923623,0.0013363893,0.00021348665,0.007368018,0.98708206,0.00006202841,0.0014354427],"study_design_scores_gemma":[0.0019569744,0.0013395931,0.00016294773,0.0033902342,0.0001607208,0.00005949074,0.00040164034,0.014262846,0.0036774257,0.97421455,0.00009634659,0.00027725007],"about_ca_topic_score_codex":0.0000071353766,"about_ca_topic_score_gemma":3.191356e-7,"teacher_disagreement_score":0.01743456,"about_ca_system_score_codex":0.000046665733,"about_ca_system_score_gemma":0.00005060496,"threshold_uncertainty_score":0.9999898},"labels":[],"label_agreement":null},{"id":"W4400486273","doi":"10.61091/jcmcc121-10","title":"Introducing 3-Path Domination in Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"City University of New York; Virginia Commonwealth University; National Science Foundation","keywords":"Path (computing); Mathematics; Computer science; Combinatorics; Computer network","score_opus":0.01262711222905419,"score_gpt":0.28516963011301527,"score_spread":0.27254251788396106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6238065,0.0024252122,0.3425173,0.0006769898,0.029011354,0.00042282577,9.638471e-7,0.00014896582,0.0009899002],"genre_scores_gemma":[0.96874857,0.00007811288,0.030444492,0.000011985696,0.0006833281,0.0000020770717,3.4034912e-7,0.00002555906,0.0000055487444],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971968,0.00019159737,0.001056429,0.00034653244,0.00080262095,0.00040603796],"domain_scores_gemma":[0.99745655,0.0012924708,0.0003822152,0.00033538011,0.00037096316,0.0001624205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040220926,0.0002448731,0.000565233,0.0008658596,0.00015302423,0.00065917626,0.00086398295,0.00012410131,0.000002937832],"category_scores_gemma":[0.0006659447,0.00021674082,0.0001608202,0.0013177671,0.00008438533,0.00091148884,0.0004104714,0.0007953742,0.0000037649022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024288755,0.00018165931,0.00007335867,0.00018560901,0.000037057678,0.00012670048,0.0018149508,0.000097488475,0.0008655849,0.9863254,0.000074710726,0.010193205],"study_design_scores_gemma":[0.0014724046,0.0003849007,0.00006746466,0.00064049324,0.000014570752,0.00017005819,0.00013813833,0.071516335,0.0006244052,0.9244006,0.0003621646,0.00020844764],"about_ca_topic_score_codex":0.0000042677802,"about_ca_topic_score_gemma":2.799206e-7,"teacher_disagreement_score":0.34494206,"about_ca_system_score_codex":0.0001466328,"about_ca_system_score_gemma":0.00019133596,"threshold_uncertainty_score":0.8838434},"labels":[],"label_agreement":null},{"id":"W4400486275","doi":"10.61091/jcmcc121-07","title":"Finding Optimal Spanning Trees For Damaged Networks","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Spanning tree; Computer science; Minimum spanning tree; Mathematics; Combinatorics; Algorithm","score_opus":0.019801323500254764,"score_gpt":0.2697647538572149,"score_spread":0.24996343035696011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486275","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0796124,0.0022676047,0.880731,0.00021421835,0.036477428,0.00028580337,0.000001282143,0.00018496011,0.00022531694],"genre_scores_gemma":[0.9183434,0.00006203048,0.077399075,0.000025106145,0.004095924,0.0000043939167,0.0000014274451,0.000049766742,0.00001882914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99726915,0.000085109736,0.00119063,0.00036755746,0.0005490117,0.0005385304],"domain_scores_gemma":[0.99583876,0.0025788522,0.0006449262,0.00031245983,0.00039536387,0.00022962787],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0024920553,0.00035161767,0.0007539707,0.0003030252,0.00043097284,0.0011520553,0.0008925589,0.00020907015,0.0000033537212],"category_scores_gemma":[0.00046171743,0.00030630926,0.00034358265,0.000615292,0.00006212241,0.00062665105,0.00039855897,0.0006501624,0.0000014454939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041538093,0.00016053134,0.000069001755,0.00019859878,0.00016718828,0.00004796069,0.0012472253,0.0033862693,0.000085845364,0.98220307,0.0019898717,0.010402929],"study_design_scores_gemma":[0.0020844312,0.0008372773,0.0000520019,0.00096082437,0.00010090325,0.00015178125,0.000115453084,0.7076232,0.00012892539,0.2838242,0.0037368797,0.0003841178],"about_ca_topic_score_codex":0.0000026118719,"about_ca_topic_score_gemma":1.3974417e-7,"teacher_disagreement_score":0.83873105,"about_ca_system_score_codex":0.0000888593,"about_ca_system_score_gemma":0.00017299733,"threshold_uncertainty_score":0.9999389},"labels":[],"label_agreement":null},{"id":"W4400486303","doi":"10.61091/jcmcc121-09","title":"On Strong Regal and Strong Royal Colorings","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algebra and Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Computer science; Mathematics","score_opus":0.013761722406796822,"score_gpt":0.25661920138806765,"score_spread":0.24285747898127083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76857877,0.0019086379,0.19445015,0.00056976936,0.028926704,0.00035281447,0.0000019273384,0.00023011357,0.0049811336],"genre_scores_gemma":[0.9901497,0.000025812913,0.008767585,0.000026245916,0.00097627385,0.0000013860282,2.897306e-7,0.000025780631,0.000026929756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977533,0.00008019755,0.0007872412,0.00035191464,0.0006423787,0.00038496446],"domain_scores_gemma":[0.99778867,0.0010993257,0.00041688865,0.0002538474,0.00020018686,0.00024108229],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011005298,0.00030850805,0.0005887773,0.00023383855,0.0002725787,0.00082980486,0.00055790506,0.00013505899,0.000003957162],"category_scores_gemma":[0.00026089113,0.0002549259,0.00013877876,0.00029872084,0.00009072831,0.0004684606,0.00039377715,0.0006981627,0.0000037498617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027511023,0.00013419091,0.000017766619,0.00012737376,0.000063007865,0.00010224021,0.00070727576,0.0001022539,0.00006779185,0.99342513,0.00014341512,0.005082063],"study_design_scores_gemma":[0.0017541281,0.0015209852,0.000052675787,0.00060275925,0.00004761985,0.00018799592,0.0001276767,0.061695553,0.00025632555,0.93221045,0.0012320963,0.0003117335],"about_ca_topic_score_codex":0.0000028623633,"about_ca_topic_score_gemma":1.1806007e-7,"teacher_disagreement_score":0.22157095,"about_ca_system_score_codex":0.000114178416,"about_ca_system_score_gemma":0.00017902088,"threshold_uncertainty_score":0.9999903},"labels":[],"label_agreement":null},{"id":"W4400486360","doi":"10.61091/jcmcc121-04","title":"On Vertex-Euclidean Deficiency of Complete Fan Graphs and Complete Wheel Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vertex (graph theory); Combinatorics; Euclidean geometry; Mathematics; 1-planar graph; Chordal graph; Graph; Computer science; Geometry","score_opus":0.024362601796538607,"score_gpt":0.2847584975143031,"score_spread":0.2603958957177645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91294783,0.0024423434,0.06658659,0.00031119163,0.015612123,0.0005332869,0.000014331627,0.0001582874,0.0013939881],"genre_scores_gemma":[0.99038845,0.00012689372,0.00927132,0.000029744046,0.00013390346,0.0000019765844,9.0750854e-7,0.000042284977,0.0000044931317],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959085,0.0002641822,0.0014499428,0.0005029708,0.0013034741,0.00057095726],"domain_scores_gemma":[0.9948087,0.0029462583,0.00076780433,0.0005528616,0.00058308843,0.00034129314],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002678747,0.00043364672,0.0010416773,0.0008819375,0.00037966014,0.0005519025,0.0012417858,0.00015691259,0.0000046740806],"category_scores_gemma":[0.00052787224,0.00037212594,0.00031378696,0.0011681201,0.00037670703,0.0005455078,0.0006569869,0.0008859874,0.0000037923444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006742108,0.00031241614,0.00006728341,0.00044850158,0.000102795966,0.00006948485,0.00113785,0.000027981772,0.0021972363,0.99208206,0.00012650555,0.003360454],"study_design_scores_gemma":[0.0020857898,0.001818845,0.00014887766,0.0009292108,0.00005322956,0.00021967619,0.00014230527,0.023867838,0.0003719628,0.9697671,0.00024961066,0.00034557196],"about_ca_topic_score_codex":0.000007788361,"about_ca_topic_score_gemma":3.5421417e-7,"teacher_disagreement_score":0.07744062,"about_ca_system_score_codex":0.00006645494,"about_ca_system_score_gemma":0.00016751466,"threshold_uncertainty_score":0.99987304},"labels":[],"label_agreement":null},{"id":"W4400486437","doi":"10.61091/jcmcc121-03","title":"Signed Magic Rectangles With Two Filled Cells in Each Column","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Column (typography); MAGIC (telescope); Combinatorics; Art; Mathematics; Physics; Geometry; Astronomy","score_opus":0.010119436041364855,"score_gpt":0.23641721561882933,"score_spread":0.22629777957746447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9421554,0.0021240988,0.028857023,0.0005487371,0.024030296,0.00049193454,0.0000017991842,0.0002175674,0.0015731216],"genre_scores_gemma":[0.9722856,0.0000310712,0.027382588,0.000030120724,0.00022036103,0.0000017866817,4.6424853e-7,0.00003187671,0.000016114964],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99720263,0.00016490133,0.001090595,0.00036612237,0.0007615263,0.00041420793],"domain_scores_gemma":[0.9976764,0.0009287333,0.0004928129,0.00032479624,0.00037421964,0.00020308112],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00202624,0.00031321292,0.000726634,0.00048267908,0.00015752578,0.00079549314,0.0006733488,0.0001231746,0.000004519138],"category_scores_gemma":[0.000126922,0.00024585222,0.00014273453,0.001024321,0.000089240675,0.0004289196,0.00025743633,0.000622923,0.0000061791684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005093201,0.00037779103,0.000052623334,0.00021345289,0.000078555866,0.00028351397,0.0017433559,0.0002024958,0.002355464,0.99228686,0.00046050793,0.0018944311],"study_design_scores_gemma":[0.0047490634,0.0012119319,0.000014840282,0.0014468392,0.00005710029,0.00028389876,0.0001608784,0.07837636,0.0020986316,0.9106378,0.00055964175,0.0004030022],"about_ca_topic_score_codex":0.00002241499,"about_ca_topic_score_gemma":0.0000016004832,"teacher_disagreement_score":0.081649065,"about_ca_system_score_codex":0.000085342166,"about_ca_system_score_gemma":0.00025886853,"threshold_uncertainty_score":0.99999934},"labels":[],"label_agreement":null},{"id":"W4400486492","doi":"10.61091/jcmcc121-02","title":"Realizing the Asymmetric Index of a Graph","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Foundation","keywords":"Index (typography); Graph; Computer science; Mathematics; Theoretical computer science; World Wide Web","score_opus":0.019716257370139226,"score_gpt":0.29545527896834994,"score_spread":0.27573902159821073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486492","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20624322,0.006623097,0.755589,0.00085963577,0.026044032,0.00060024706,0.000002622438,0.00016113167,0.003877007],"genre_scores_gemma":[0.9921294,0.00010992999,0.0070870123,0.000013820378,0.0006278228,0.0000015361834,1.5915262e-7,0.000025133775,0.000005189368],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99690616,0.00022664905,0.0011295319,0.00025133163,0.0011173806,0.0003689404],"domain_scores_gemma":[0.99538004,0.002701206,0.00068964943,0.00047057442,0.00060189323,0.000156648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041078897,0.00023456154,0.00060513656,0.0007097339,0.00025087094,0.00048194762,0.001470213,0.00011692019,0.0000017201386],"category_scores_gemma":[0.0007522644,0.00016377938,0.00027719862,0.002187706,0.00018932545,0.00050134567,0.0006163333,0.0007726355,0.0000015649164],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023572651,0.00014107049,0.0000696831,0.000220956,0.00011799134,0.000039962586,0.001051083,0.00005192997,0.00027470107,0.98730236,0.0001424039,0.010564303],"study_design_scores_gemma":[0.0009775979,0.00049625756,0.00007197642,0.000485756,0.000038071506,0.00019945319,0.00024114618,0.029335948,0.00083319447,0.96648014,0.0006716282,0.00016881661],"about_ca_topic_score_codex":0.000008161305,"about_ca_topic_score_gemma":1.4495053e-7,"teacher_disagreement_score":0.78588617,"about_ca_system_score_codex":0.000059627197,"about_ca_system_score_gemma":0.00022390284,"threshold_uncertainty_score":0.6678729},"labels":[],"label_agreement":null},{"id":"W4400486528","doi":"10.61091/jcmcc121-05","title":"An Open Problem in Embedding","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Citadel Foundation","keywords":"Embedding; Computer science; Artificial intelligence","score_opus":0.01177004964521012,"score_gpt":0.265732392087963,"score_spread":0.2539623424427529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400486528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724602,0.0011773938,0.0029102904,0.00002713566,0.019246502,0.00035067383,0.0000013800503,0.00012822876,0.003698207],"genre_scores_gemma":[0.9965252,0.000032664404,0.0024795602,0.000004163994,0.00089881447,0.0000031017144,7.4126586e-7,0.000053021362,0.0000027196381],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981611,0.00009737312,0.0009801593,0.00016459682,0.00031320573,0.00028360655],"domain_scores_gemma":[0.99907786,0.0003182714,0.00016602888,0.00017936733,0.00010413997,0.00015433817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023214428,0.00023347305,0.000598032,0.00030090564,0.00009327834,0.0008105623,0.0005922221,0.00013730218,0.000007530369],"category_scores_gemma":[0.00004821669,0.0002099095,0.00008088287,0.00041903506,0.000033572927,0.0006260426,0.00012087407,0.00052367896,0.000003012276],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026676647,0.00019513906,0.000060333783,0.00066671305,0.00008558266,0.00009831332,0.003293773,0.0026979682,0.0016530886,0.98835844,0.00016790224,0.0026960622],"study_design_scores_gemma":[0.0016064519,0.00048787674,0.00002476685,0.0015943832,0.000041098032,0.00018049967,0.0006696832,0.17077251,0.00051444146,0.82253754,0.0012687152,0.00030202983],"about_ca_topic_score_codex":0.000006631673,"about_ca_topic_score_gemma":5.229682e-7,"teacher_disagreement_score":0.16807453,"about_ca_system_score_codex":0.00008547315,"about_ca_system_score_gemma":0.00006346636,"threshold_uncertainty_score":0.85598606},"labels":[],"label_agreement":null},{"id":"W4400487067","doi":"10.61091/jcmcc121-01","title":"The Down-Arrow Ramsey Set of a Graph","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Topology and Set Theory","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Arrow; Graph; Set (abstract data type); Computer science; Mathematics; Combinatorics; Programming language","score_opus":0.02009710314379518,"score_gpt":0.30263786485234206,"score_spread":0.28254076170854686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400487067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9036064,0.0064125643,0.03554896,0.00093331665,0.049666937,0.0006474837,0.000011138125,0.00015381211,0.003019351],"genre_scores_gemma":[0.9940658,0.0001722504,0.004274933,0.000010513439,0.0013989457,0.0000019732358,5.74084e-7,0.000044466655,0.000030545452],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972041,0.00022168677,0.0014365289,0.0001908725,0.00058985176,0.0003569331],"domain_scores_gemma":[0.9922939,0.005874066,0.00094167347,0.00032036385,0.00043304902,0.00013692916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035954772,0.00028897772,0.00080010516,0.00018924483,0.00039044194,0.00016622616,0.00052329525,0.00020800745,0.000009729646],"category_scores_gemma":[0.0015632797,0.00019303571,0.00032677694,0.00038139994,0.0003621538,0.00018510254,0.00019846308,0.0007584327,0.0000022014954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011213328,0.0001380179,0.000013772708,0.0004047988,0.00025527555,0.000037935144,0.0018770122,0.000007874913,0.00027730822,0.9936409,0.0007844721,0.002450472],"study_design_scores_gemma":[0.0013938954,0.00050416426,0.0000055290266,0.00059385726,0.0001782585,0.00022175214,0.00086164393,0.0011169598,0.0009691231,0.99129486,0.0026660038,0.0001939278],"about_ca_topic_score_codex":0.0000020737448,"about_ca_topic_score_gemma":4.204341e-7,"teacher_disagreement_score":0.09045936,"about_ca_system_score_codex":0.000049605027,"about_ca_system_score_gemma":0.00016253698,"threshold_uncertainty_score":0.7871767},"labels":[],"label_agreement":null},{"id":"W4403165328","doi":"10.61091/jcmcc122-29","title":"On Negacyclic Codes of Length 8 p s over F p m + u F p m","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Biology; Mathematics; Physics; Horticulture","score_opus":0.011746528716764532,"score_gpt":0.25635946195902387,"score_spread":0.24461293324225933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8940455,0.0011429448,0.0771944,0.00019695608,0.024882369,0.00018842492,0.0000021957098,0.00012281931,0.0022243983],"genre_scores_gemma":[0.9942865,0.000046182824,0.0049313135,0.00002653187,0.00068211876,7.5251313e-7,2.5025656e-7,0.000022150243,0.0000042090796],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997634,0.00013209194,0.0009890251,0.0002545871,0.0007131024,0.00027721038],"domain_scores_gemma":[0.99669087,0.0019600808,0.00058193324,0.00035922715,0.00025448596,0.00015341608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018646814,0.00026301885,0.0006583401,0.00044522935,0.00015690037,0.0004264423,0.00083701796,0.0001260732,0.000007638982],"category_scores_gemma":[0.00031390003,0.00021727876,0.0003123248,0.000678095,0.00010192971,0.00040051513,0.0002833526,0.00050592073,0.0000027642789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044665303,0.00032558898,0.000023090415,0.00022501747,0.00013049388,0.00003564956,0.0010977362,0.000025113248,0.00059981004,0.99077964,0.0003270784,0.0063861455],"study_design_scores_gemma":[0.0013356414,0.001265692,0.000049675644,0.0009075782,0.000059675716,0.00007721544,0.000061245664,0.015799578,0.0016981862,0.9775731,0.00094717334,0.00022523775],"about_ca_topic_score_codex":0.0000028516945,"about_ca_topic_score_gemma":7.3525996e-8,"teacher_disagreement_score":0.100241,"about_ca_system_score_codex":0.000041465155,"about_ca_system_score_gemma":0.00012637874,"threshold_uncertainty_score":0.88603705},"labels":[],"label_agreement":null},{"id":"W4403165336","doi":"10.61091/jcmcc122-17","title":"5G Communication Network and Federated Learning for College Accounting Informatization Teaching","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Informatization; Computer science; Accounting; Knowledge management; Business; World Wide Web","score_opus":0.009807418704459602,"score_gpt":0.2609115281360404,"score_spread":0.2511041094315808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165336","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07402482,0.0012856025,0.914886,0.00048779513,0.0077720205,0.00037701815,6.7866614e-7,0.0003079769,0.00085808785],"genre_scores_gemma":[0.8782536,0.000095009214,0.12111587,0.000023127206,0.0004799065,0.0000036310232,0.0000013790346,0.000021927704,0.000005582501],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981396,0.000095939824,0.0009263658,0.0001949124,0.00033936242,0.00030380834],"domain_scores_gemma":[0.996657,0.00196061,0.00072423846,0.00021613797,0.00036840397,0.000073576724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002593804,0.00021863202,0.00045464656,0.0001983008,0.0008967074,0.0009838897,0.00058008725,0.00020875316,4.5918944e-7],"category_scores_gemma":[0.0012899752,0.0002029907,0.0000829133,0.00037070978,0.000061467574,0.0010237604,0.0004899405,0.000928405,4.583333e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011712511,0.000041256484,0.000050675902,0.00021934063,0.00005409866,0.000004319031,0.0011484659,0.0006894149,0.00006239109,0.9812505,0.00028433526,0.016183486],"study_design_scores_gemma":[0.0008491582,0.00032253587,0.000011666303,0.00057229487,0.00002783558,0.00009565316,0.00029559486,0.39854816,0.00011509641,0.59635305,0.0026374082,0.00017154522],"about_ca_topic_score_codex":0.0000023279506,"about_ca_topic_score_gemma":2.4078244e-7,"teacher_disagreement_score":0.8042287,"about_ca_system_score_codex":0.00009121989,"about_ca_system_score_gemma":0.000106317755,"threshold_uncertainty_score":0.9487671},"labels":[],"label_agreement":null},{"id":"W4403165359","doi":"10.61091/jcmcc122-19","title":"On Symmetrical Convex Polytopes and their Edge Resolvability","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Mathematics and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Polytope; Enhanced Data Rates for GSM Evolution; Regular polygon; Combinatorics; Convex polytope; Mathematics; Computer science; Geometry; Convex set; Artificial intelligence; Convex optimization","score_opus":0.028997230608951017,"score_gpt":0.30029285976743464,"score_spread":0.2712956291584836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709356,0.0015084454,0.015221651,0.0007349383,0.007271096,0.000602687,0.000011822082,0.0001422519,0.0035715026],"genre_scores_gemma":[0.9915266,0.0000604328,0.0072699417,0.000029049434,0.001031401,0.0000047725116,7.3505197e-7,0.000056464032,0.000020575495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99739206,0.000116554314,0.0012912365,0.0003224839,0.00054286985,0.0003347794],"domain_scores_gemma":[0.99226445,0.0062299524,0.00055709016,0.00035810904,0.0003244422,0.000265945],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025233717,0.0003793545,0.00096297055,0.0003207024,0.00027627943,0.0004609905,0.00034186247,0.0002024879,0.000018694524],"category_scores_gemma":[0.0018041019,0.00027397656,0.0002274926,0.00046709285,0.0001634876,0.00014686122,0.00022340714,0.0007042375,0.000004435272],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031503805,0.0005524226,0.0000128505,0.00071835145,0.00012611263,0.000010707502,0.0013189211,8.134842e-7,0.0002467047,0.99048847,0.004141765,0.002351398],"study_design_scores_gemma":[0.0011708827,0.0005994065,0.0000162393,0.00077929377,0.00010617962,0.00012098076,0.0004023846,0.0061246026,0.00081688224,0.9868993,0.002682333,0.00028150858],"about_ca_topic_score_codex":0.000002895447,"about_ca_topic_score_gemma":1.682347e-7,"teacher_disagreement_score":0.020591022,"about_ca_system_score_codex":0.00008382835,"about_ca_system_score_gemma":0.00011985553,"threshold_uncertainty_score":0.9999713},"labels":[],"label_agreement":null},{"id":"W4403165389","doi":"10.61091/jcmcc122-22","title":"Analyzing the Interplay Between Competition State Anxiety, Motor Motivation, and Coping Styles Among Adolescent Track and Field Athletes","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Motivation and Self-Concept in Sports","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Track and field athletics; Psychology; Anxiety; Athletes; Coping (psychology); Competition (biology); Social psychology; Developmental psychology; Clinical psychology; Applied psychology; Physical therapy; Medicine; Psychiatry","score_opus":0.015113263195314626,"score_gpt":0.28739988158626517,"score_spread":0.27228661839095053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98519266,0.0014103058,0.006537674,0.00043459435,0.005755834,0.00030544456,0.000004189691,0.00004715376,0.00031217435],"genre_scores_gemma":[0.99831134,0.00019343385,0.00031908334,0.0000523501,0.0010712723,0.0000025662653,0.0000025688607,0.000029210776,0.000018158313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99799424,0.00016515661,0.0009967168,0.0002620888,0.00032626232,0.00025554164],"domain_scores_gemma":[0.9972041,0.0016518829,0.0005959912,0.00016312835,0.00023788512,0.00014697867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015109604,0.00025445683,0.0005260102,0.00018886656,0.00030582334,0.00048823134,0.00018667319,0.00014206773,0.000028615188],"category_scores_gemma":[0.00026500487,0.00019292817,0.00010580904,0.00022399826,0.00015282085,0.00023748327,0.00013650589,0.000628976,0.000001186741],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015292053,0.0003293659,0.16662624,0.0008060899,0.00058930553,0.000043643773,0.020450884,0.000012206615,0.0002178714,0.7794379,0.0014468442,0.029886737],"study_design_scores_gemma":[0.009752539,0.003144009,0.20257099,0.00913472,0.0009052875,0.00044992924,0.013098573,0.0051754056,0.00077612884,0.7448097,0.00854876,0.001633985],"about_ca_topic_score_codex":0.00001658821,"about_ca_topic_score_gemma":5.548409e-7,"teacher_disagreement_score":0.035944752,"about_ca_system_score_codex":0.000046272038,"about_ca_system_score_gemma":0.00003994821,"threshold_uncertainty_score":0.7867383},"labels":[],"label_agreement":null},{"id":"W4403165391","doi":"10.61091/jcmcc122-16","title":"Reform and Exploration of University Students’ Innovation and Entrepreneurship Course Teaching Based on Federal Learning Under the “Internet +” Perspective","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Entrepreneurship; Course (navigation); The Internet; Entrepreneurship education; Business; Mathematics education; Sociology; Psychology; Engineering; Computer science; World Wide Web; Finance","score_opus":0.01972424572570296,"score_gpt":0.2818408120632283,"score_spread":0.26211656633752534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99372935,0.000037404414,0.0024873435,0.00094203866,0.0012842726,0.000110039306,5.724953e-7,0.00000970615,0.0013992788],"genre_scores_gemma":[0.9993512,0.0000102825425,0.00039967938,0.000025112835,0.00017026669,2.791213e-7,9.816011e-7,0.0000087324315,0.000033472585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989215,0.000089739966,0.00034924253,0.00012912271,0.0004139605,0.00009640776],"domain_scores_gemma":[0.9990282,0.0004090731,0.00033520148,0.00006720328,0.0001221737,0.000038170827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015518857,0.000107854976,0.00017018862,0.00010150911,0.00026020908,0.00017383206,0.00012242196,0.00004961061,0.000008133435],"category_scores_gemma":[0.00017986653,0.00007642598,0.000031431115,0.00025966216,0.00010846119,0.00036021517,0.00011619052,0.00039332572,5.731548e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004686063,0.0002015156,0.0024773646,0.000031358028,0.000035088065,0.0000019433894,0.0038154249,0.00029720052,0.00023222128,0.9920152,0.000046359033,0.0007994615],"study_design_scores_gemma":[0.0028670437,0.0017702333,0.024067476,0.00081100734,0.00013782592,0.00004581593,0.039315466,0.0489302,0.00040256252,0.88053864,0.00078520394,0.00032851487],"about_ca_topic_score_codex":0.000058935908,"about_ca_topic_score_gemma":0.00000115101,"teacher_disagreement_score":0.111476555,"about_ca_system_score_codex":0.00023766085,"about_ca_system_score_gemma":0.000049892245,"threshold_uncertainty_score":0.31165612},"labels":[],"label_agreement":null},{"id":"W4403165393","doi":"10.61091/jcmcc122-24","title":"The Legal System of Natural Ecological Protection and Restoration in Newly Built Areas Based on the Multi-Dimensional Character-Istics of the Ecosystem","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Environmental Sustainability and Technology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Character (mathematics); Natural (archaeology); Ecosystem; Ecology; Geography; Environmental science; Environmental resource management; Biology; Archaeology","score_opus":0.00907757464060539,"score_gpt":0.21668595508141897,"score_spread":0.2076083804408136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950233,0.000074216296,0.00024532643,0.0006210714,0.0034961482,0.00047329447,0.000001846343,0.000010285864,0.00005451514],"genre_scores_gemma":[0.99963266,0.000003924001,0.00023482584,0.0000079333995,0.00010346011,0.000004679732,1.8541623e-7,0.000008912158,0.0000034128368],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825877,0.00025942022,0.0007173695,0.00013320241,0.00047364706,0.00015758594],"domain_scores_gemma":[0.99807715,0.0010967749,0.00055612315,0.00019066756,0.00004393712,0.00003531539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019684464,0.00014318495,0.00029380605,0.000049337992,0.00026695017,0.00006953223,0.00028202642,0.00012434463,0.0000027137137],"category_scores_gemma":[0.00059632544,0.000073431474,0.00009082597,0.00023337544,0.00028347375,0.00008308994,0.00023773985,0.00053116883,5.765222e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035476187,0.0010611181,0.0052520917,0.0007763331,0.00006987223,0.00002830347,0.0008317812,0.0028159125,0.005250058,0.9808729,0.000059544403,0.0026272677],"study_design_scores_gemma":[0.0044032857,0.002277419,0.04060385,0.002063357,0.00014396985,0.00022466516,0.0020521032,0.7753821,0.005112854,0.16613339,0.0012043451,0.000398662],"about_ca_topic_score_codex":0.000031467796,"about_ca_topic_score_gemma":0.000010954152,"teacher_disagreement_score":0.8147396,"about_ca_system_score_codex":0.0002844524,"about_ca_system_score_gemma":0.00004504082,"threshold_uncertainty_score":0.29944485},"labels":[],"label_agreement":null},{"id":"W4403165760","doi":"10.61091/jcmcc122-07","title":"On δ ( k ) -colouring of Some Wheel Related Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Mathematics; Computer science","score_opus":0.010859524492380193,"score_gpt":0.23903705778508813,"score_spread":0.22817753329270793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95797396,0.002224647,0.0052403826,0.00039297916,0.03300157,0.00020791378,0.0000010804623,0.00015206057,0.00080542447],"genre_scores_gemma":[0.99323744,0.00006544432,0.006514698,0.000025075627,0.00012176253,7.99677e-7,2.8599132e-7,0.000026100344,0.000008407029],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997115,0.000107650776,0.0013659213,0.00028998096,0.0008083803,0.00031307054],"domain_scores_gemma":[0.997219,0.0010947069,0.0007637383,0.00035157625,0.000386591,0.000184349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021738082,0.00027055765,0.0006899732,0.00057096145,0.00017797019,0.00033603728,0.00069352984,0.0001709501,0.0000029688654],"category_scores_gemma":[0.00033422964,0.00022276062,0.00028170994,0.0007124656,0.00009728245,0.0004397055,0.00028148148,0.00062049105,0.0000045313814],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018975808,0.00030655955,0.00001056982,0.00024751638,0.00012564851,0.000055893608,0.0010503838,0.00013556011,0.0013277851,0.9947563,0.00028553625,0.0016792687],"study_design_scores_gemma":[0.0016259648,0.000999285,0.000013318009,0.0012939608,0.000053524982,0.00011854597,0.000044293825,0.029896524,0.0021124515,0.9635164,0.00011286113,0.00021288377],"about_ca_topic_score_codex":0.0000041907397,"about_ca_topic_score_gemma":3.0509298e-8,"teacher_disagreement_score":0.035263482,"about_ca_system_score_codex":0.000044891072,"about_ca_system_score_gemma":0.00016094343,"threshold_uncertainty_score":0.9083914},"labels":[],"label_agreement":null},{"id":"W4403165768","doi":"10.61091/jcmcc122-01","title":"Cyclic Decompositions of λ K n into LWO Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Mathematics","score_opus":0.006831238778567406,"score_gpt":0.2323769293118001,"score_spread":0.2255456905332327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9633491,0.0031212096,0.00599031,0.000030023837,0.025667753,0.00015630983,0.0000028706888,0.00012069239,0.0015616983],"genre_scores_gemma":[0.9975836,0.000084663945,0.0016064515,0.0000029757196,0.0006744416,0.0000015109181,9.822053e-7,0.0000431454,0.0000022022543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980994,0.000068207744,0.0010995122,0.00012395502,0.00038728982,0.00022162034],"domain_scores_gemma":[0.99867016,0.00055816397,0.000256092,0.00017618485,0.00019653483,0.0001428676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010248838,0.00023573714,0.00063414493,0.00036140037,0.00012278088,0.00015595045,0.0002760105,0.00013912132,0.000007476063],"category_scores_gemma":[0.00006853038,0.00021206542,0.00026499233,0.00046130182,0.00008379897,0.00020276477,0.00006391711,0.00041001302,0.000003140755],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017245062,0.0001330497,0.000036360136,0.0010947059,0.00025905907,0.000027102695,0.0019395526,0.00027372254,0.008812995,0.98580205,0.0002769503,0.0013271761],"study_design_scores_gemma":[0.0010571826,0.00034102614,0.00002760236,0.0012307747,0.0001418321,0.00017647467,0.00035103934,0.012354499,0.00533385,0.9778233,0.00091981766,0.00024255775],"about_ca_topic_score_codex":0.0000038313456,"about_ca_topic_score_gemma":2.0554428e-7,"teacher_disagreement_score":0.034234494,"about_ca_system_score_codex":0.00004766226,"about_ca_system_score_gemma":0.00004614747,"threshold_uncertainty_score":0.8647777},"labels":[],"label_agreement":null},{"id":"W4403165773","doi":"10.61091/jcmcc122-04","title":"Dynamic Progressive Failure Analysis of 3D Five-directional Braided Composites under Transverse Compression Based on Macro-scale Heterogeneous Model","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Macro; Compression (physics); Transverse plane; Scale (ratio); Composite material; Materials science; Macroscopic scale; Structural engineering; Computer science; Engineering; Physics","score_opus":0.008194901797330035,"score_gpt":0.24727470574872848,"score_spread":0.23907980395139844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91826653,0.0004894425,0.076061204,0.000068891626,0.004501979,0.00028908148,0.000031940595,0.00016829412,0.00012261744],"genre_scores_gemma":[0.9811251,0.000014071474,0.01860766,0.000009879002,0.00015856579,0.000003684221,0.000012840782,0.000065165055,0.0000030144056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971694,0.000097798315,0.0012224527,0.00027693054,0.0009110533,0.00032241512],"domain_scores_gemma":[0.99784076,0.0009558613,0.00039369386,0.00026952327,0.00032730162,0.00021286348],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053755275,0.00040887302,0.0011231411,0.0007028354,0.00014850232,0.00020531515,0.00036964598,0.00023893506,0.000028532746],"category_scores_gemma":[0.000036696765,0.0003649567,0.0005011098,0.0007124185,0.000087722736,0.00015868788,0.00007414091,0.0006308355,0.0000015594072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018210817,0.0007025475,0.000037198766,0.0006314539,0.0012539834,0.000059839706,0.00052283873,0.9125795,0.053959657,0.029145658,0.000096442855,0.0008287825],"study_design_scores_gemma":[0.0016172647,0.0005875994,0.00003111414,0.0009153595,0.0012848891,0.00003849052,0.000043872926,0.9590233,0.011366949,0.024745815,0.000020356383,0.0003249958],"about_ca_topic_score_codex":0.0000017739396,"about_ca_topic_score_gemma":7.679246e-7,"teacher_disagreement_score":0.06285857,"about_ca_system_score_codex":0.00015628921,"about_ca_system_score_gemma":0.00008120565,"threshold_uncertainty_score":0.99988025},"labels":[],"label_agreement":null},{"id":"W4403165774","doi":"10.61091/jcmcc122-15","title":"On the Various Energy Forms of the Join of Complete Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Join (topology); Computer science; Mathematics; Combinatorics","score_opus":0.014318268167687453,"score_gpt":0.22534553099681767,"score_spread":0.21102726282913023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9359817,0.0015622616,0.028583705,0.0015013617,0.030424448,0.00032873545,0.000005014076,0.00006871549,0.0015440682],"genre_scores_gemma":[0.9983204,0.000031048898,0.0014859464,0.000061116916,0.000077684264,0.0000010518876,1.7099966e-7,0.000017545282,0.0000050446383],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972608,0.00016787178,0.0012042562,0.00019781789,0.00092210755,0.00024716594],"domain_scores_gemma":[0.9961134,0.0017995862,0.0010187891,0.0005213351,0.0004579723,0.00008891016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020654777,0.00023012141,0.0005867748,0.00021980956,0.00024591386,0.0002053554,0.0011891422,0.00010500851,0.0000022083066],"category_scores_gemma":[0.00032284952,0.00012241332,0.0003616559,0.00081279007,0.00019151102,0.00015110418,0.0004429929,0.00044489425,6.599076e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015375286,0.00021586854,0.000013254174,0.00013262508,0.00010838469,0.0000057376296,0.0008146626,0.00008327405,0.0012375517,0.99608904,0.00043002033,0.0008541838],"study_design_scores_gemma":[0.0008704842,0.0006047003,0.000022853204,0.0008703921,0.000052134685,0.00006496719,0.000057331126,0.025651496,0.0029563534,0.9684239,0.0002956308,0.0001297291],"about_ca_topic_score_codex":0.000015475502,"about_ca_topic_score_gemma":2.7392696e-7,"teacher_disagreement_score":0.0623387,"about_ca_system_score_codex":0.000026956786,"about_ca_system_score_gemma":0.00017150758,"threshold_uncertainty_score":0.49918702},"labels":[],"label_agreement":null},{"id":"W4403165775","doi":"10.61091/jcmcc122-03","title":"Optimizing Higher Education for Entrepreneurship Digital economy and Innovation: A Novel Spatial Analysis Approach","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Entrepreneurship education; Digital economy; Economic geography; Business; Regional science; Economics; Geography; Computer science; World Wide Web","score_opus":0.03361332788038342,"score_gpt":0.24293347710388222,"score_spread":0.20932014922349879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48877996,0.005533386,0.47077137,0.0019425948,0.01664432,0.00072251604,0.000080529004,0.0000663946,0.015458937],"genre_scores_gemma":[0.991342,0.000038362596,0.0067356164,0.00004305008,0.0017029179,0.00000756267,0.000020765927,0.000030031424,0.00007970567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99785197,0.000009922312,0.0014748935,0.00036902836,0.0000788524,0.00021533006],"domain_scores_gemma":[0.9980719,0.00034938223,0.0010231835,0.00016787456,0.00027259736,0.000115056675],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009986182,0.00023478323,0.0008931136,0.0011241742,0.00016229089,0.0010882182,0.0002046935,0.00013581173,0.000013730791],"category_scores_gemma":[0.00012780428,0.00024103382,0.0003222516,0.0008567647,0.00006105055,0.00045648176,0.000099330515,0.000220677,0.0000018787423],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028007677,0.0002864492,0.0007760365,0.00019164562,0.00085981225,8.9418074e-7,0.00037056181,0.00026417896,0.000009498115,0.9958662,0.0000795808,0.0012671293],"study_design_scores_gemma":[0.0012058592,0.00019222795,0.00020428102,0.000075611315,0.00030664483,0.00001985501,0.00009577062,0.11827935,0.000012503605,0.86878794,0.010520348,0.00029961293],"about_ca_topic_score_codex":0.000025788693,"about_ca_topic_score_gemma":2.9018886e-7,"teacher_disagreement_score":0.50256205,"about_ca_system_score_codex":0.000100306665,"about_ca_system_score_gemma":0.0001050315,"threshold_uncertainty_score":0.99994874},"labels":[],"label_agreement":null},{"id":"W4403165777","doi":"10.61091/jcmcc122-08","title":"Exploration of Collaborative Design Practice and Potential Issues of Blockchain Technology in the Whole Process Project Management of Construction Engineering","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Process (computing); Engineering management; Project management; Engineering design process; Engineering; Design technology; Process management; Systems engineering; Computer science; Construction engineering; Mechanical engineering; Computer security","score_opus":0.021218112768748337,"score_gpt":0.33355775258013576,"score_spread":0.3123396398113874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808002,0.0028583398,0.012920844,0.00082640245,0.0014518942,0.0010196193,0.0000027198914,0.000011881975,0.00010810836],"genre_scores_gemma":[0.9859552,0.0002465291,0.013667444,0.0000015481473,0.000112934664,0.0000051391585,6.918693e-7,0.000008962671,0.0000015975615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983992,0.00009688647,0.00068450696,0.00009981506,0.00060050434,0.00011910747],"domain_scores_gemma":[0.99838907,0.0004936875,0.000446302,0.00008765391,0.0005422696,0.000041021765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015492579,0.00010997776,0.0004465692,0.0003330001,0.00003171667,0.0000273746,0.00009292829,0.000083536084,6.5396546e-7],"category_scores_gemma":[0.00073558756,0.00007545585,0.00003975063,0.00067453005,0.000115638286,0.00011852016,0.000047992962,0.0002561034,6.7033405e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013732454,0.0021795363,0.0001211999,0.008655339,0.0011755236,0.00050922675,0.011690603,0.00033159577,0.005630596,0.9589099,0.00007365684,0.009349565],"study_design_scores_gemma":[0.018042352,0.012599349,0.00011661754,0.014948702,0.0014458558,0.0011013563,0.0535797,0.058351576,0.034889527,0.8042766,0.000314665,0.00033371337],"about_ca_topic_score_codex":0.0000042645306,"about_ca_topic_score_gemma":3.3308208e-8,"teacher_disagreement_score":0.15463333,"about_ca_system_score_codex":0.00002794491,"about_ca_system_score_gemma":0.00016405644,"threshold_uncertainty_score":0.3077},"labels":[],"label_agreement":null},{"id":"W4403165778","doi":"10.61091/jcmcc122-10","title":"Practical Teaching Mode Structure for Ideological and Political Theory Course Based on Fuzzy System Theory","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Course (navigation); Ideology; Political philosophy; Mode (computer interface); Fuzzy logic; Mathematics education; Computer science; Politics; Sociology; Mathematics; Political science; Engineering; Artificial intelligence; Law; Human–computer interaction","score_opus":0.022389735695884372,"score_gpt":0.3574741423942997,"score_spread":0.3350844066984153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7922228,0.0007670665,0.10772764,0.01692335,0.052549843,0.0017109611,0.000048093556,0.00038516423,0.027665097],"genre_scores_gemma":[0.9897064,0.0000034169425,0.006010486,0.0001813019,0.004051077,0.0000036241374,0.0000018599072,0.000023230492,0.000018628729],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968953,0.00093609176,0.0007232356,0.0002639514,0.00062733935,0.0005540393],"domain_scores_gemma":[0.9873093,0.011531887,0.0002755911,0.00012946363,0.00030832263,0.00044547796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005566027,0.0002466914,0.00057811226,0.00012192054,0.0007253338,0.00045390177,0.0002147261,0.00034452634,0.000013284762],"category_scores_gemma":[0.0052860696,0.00017764649,0.00017632532,0.00012688692,0.0004329338,0.00018148785,0.00007284344,0.00088195177,0.000001460824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019574164,0.00029963662,0.00003135294,0.00030842386,0.00005497856,0.000022450346,0.0013645927,0.000009529005,0.000021294796,0.9963588,0.00023556911,0.0010976227],"study_design_scores_gemma":[0.00101014,0.0007910721,0.000035764708,0.00049677165,0.00020282107,0.000056473593,0.0033011753,0.012706922,0.00003344743,0.9797508,0.0014044194,0.00021016353],"about_ca_topic_score_codex":0.000020216472,"about_ca_topic_score_gemma":5.931547e-7,"teacher_disagreement_score":0.19748358,"about_ca_system_score_codex":0.00018927292,"about_ca_system_score_gemma":0.000523162,"threshold_uncertainty_score":0.7244214},"labels":[],"label_agreement":null},{"id":"W4403165788","doi":"10.61091/jcmcc122-14","title":"Analysis of the Influence of Rock Mechanics Variables on the Stability of Tunnel Surrounding Rock Based on Engineering Mathematics Applications","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Geomechanics and Mining Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rock mechanics; Stability (learning theory); Geotechnical engineering; Geomechanics; Geology; Engineering; Mathematics; Mechanics; Computer science; Physics","score_opus":0.009804656347711495,"score_gpt":0.20968611045131966,"score_spread":0.19988145410360816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8108004,0.0001265314,0.18606775,0.000023325638,0.002566721,0.00029409802,0.000015085287,0.00004152431,0.0000645761],"genre_scores_gemma":[0.9986919,0.0000150102815,0.0011323075,0.0000026003468,0.00011464878,0.0000050444037,7.3397035e-7,0.000037217225,4.9666994e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785626,0.00003703929,0.0011482491,0.00013558626,0.0006216187,0.00020124514],"domain_scores_gemma":[0.99654216,0.0021352363,0.00051676354,0.00041837117,0.0003245938,0.000062877334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016375225,0.00024317733,0.0007416112,0.00035418078,0.00007941462,0.000059849495,0.00047518406,0.0001172041,0.0000039947354],"category_scores_gemma":[0.0004981376,0.00016923767,0.0003114269,0.0011835089,0.0000131728675,0.00006650964,0.000098891294,0.00043772892,2.583353e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005337149,0.00011673319,0.000013469683,0.0008358257,0.00031543756,4.867166e-7,0.00041252637,0.61016345,0.005868215,0.38223478,0.000003892158,0.000029857481],"study_design_scores_gemma":[0.00034288954,0.0001619547,0.000043689233,0.0011871457,0.0005024025,0.0000029883076,0.00017615629,0.9574704,0.0073788115,0.03255723,0.00003327717,0.00014306267],"about_ca_topic_score_codex":0.00000313053,"about_ca_topic_score_gemma":1.7972464e-7,"teacher_disagreement_score":0.34967753,"about_ca_system_score_codex":0.00008374602,"about_ca_system_score_gemma":0.000074531585,"threshold_uncertainty_score":0.6901312},"labels":[],"label_agreement":null},{"id":"W4403165789","doi":"10.61091/jcmcc122-13","title":"Fractional Vertex Cover Reliability of Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Reliability (semiconductor); Vertex (graph theory); Combinatorics; Vertex cover; Mathematics; Graph; Physics; Engineering; Quantum mechanics","score_opus":0.008706361647812341,"score_gpt":0.23684661620236158,"score_spread":0.22814025455454923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90609,0.0023000562,0.05208375,0.000058344936,0.03491022,0.00029655494,0.000008837663,0.00032279943,0.0039294423],"genre_scores_gemma":[0.9962833,0.0001373869,0.003033074,0.0000041873186,0.00049967074,0.0000011230787,8.337419e-7,0.0000366244,0.000003809081],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982071,0.000041735417,0.00094024325,0.0001266131,0.0004904542,0.00019383455],"domain_scores_gemma":[0.9984938,0.0007117715,0.00022461204,0.00016300075,0.0002998941,0.00010693175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010923148,0.00020905292,0.00055494683,0.00022799976,0.00006654949,0.000114820854,0.0002152274,0.00016533704,0.000019959629],"category_scores_gemma":[0.00019508765,0.0001837062,0.00021330934,0.00030497092,0.00007249082,0.00025488698,0.000059416736,0.00049884163,0.0000029557086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045343277,0.00029494867,0.00014481107,0.001404494,0.00022747536,0.00003469221,0.0007760256,0.0005421824,0.0047885864,0.98439026,0.0040597175,0.0032914607],"study_design_scores_gemma":[0.0009497472,0.00043455785,0.00008248924,0.0007282052,0.00010651853,0.000100615725,0.00006285685,0.049926393,0.0056955,0.93910193,0.0025684084,0.00024276949],"about_ca_topic_score_codex":0.0000027940812,"about_ca_topic_score_gemma":2.6679778e-8,"teacher_disagreement_score":0.090193294,"about_ca_system_score_codex":0.00007654316,"about_ca_system_score_gemma":0.000076923105,"threshold_uncertainty_score":0.74913216},"labels":[],"label_agreement":null},{"id":"W4403165798","doi":"10.61091/jcmcc122-06","title":"Neighbor Locating Coloring on Graphs: Three Products","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Graph coloring; Complete coloring; Computer science; Combinatorics; Greedy coloring; Business; Mathematics; Graph; Line graph","score_opus":0.019782868263130166,"score_gpt":0.25251457148166506,"score_spread":0.2327317032185349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165798","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4007167,0.0035208114,0.42473632,0.0029879953,0.15793322,0.0013208126,0.0000057942707,0.00081256934,0.007965764],"genre_scores_gemma":[0.9717879,0.000054295768,0.025891319,0.000040328232,0.0021727646,0.0000026550813,0.0000010936761,0.00003684189,0.0000127925505],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99720544,0.00007002565,0.0009879569,0.00042302615,0.00089505705,0.00041847795],"domain_scores_gemma":[0.9977071,0.0007517089,0.0005411407,0.00046257215,0.00036914757,0.00016833124],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0022717468,0.00033181455,0.0005752292,0.0004357843,0.0002968862,0.001519973,0.001163952,0.00009958687,0.000002531606],"category_scores_gemma":[0.0004339787,0.0002773986,0.00015776153,0.00096086273,0.00006401743,0.00096539105,0.0006049507,0.0006081391,0.000011525112],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013945724,0.00022350572,0.00002417477,0.00033137217,0.000113396294,0.00010691499,0.00044208,0.000029078545,0.00014791058,0.9749494,0.0007670833,0.022851117],"study_design_scores_gemma":[0.0016339044,0.0011727889,0.00007035044,0.0013603738,0.00008225251,0.000110436806,0.00010391136,0.11218252,0.000937109,0.8774431,0.004458633,0.0004446322],"about_ca_topic_score_codex":0.0000039646916,"about_ca_topic_score_gemma":1.5867995e-7,"teacher_disagreement_score":0.5710712,"about_ca_system_score_codex":0.00008374428,"about_ca_system_score_gemma":0.00015329805,"threshold_uncertainty_score":0.9999678},"labels":[],"label_agreement":null},{"id":"W4403165802","doi":"10.61091/jcmcc122-02","title":"Fault Tolerant Metric Dimension of Arithmetic Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Arithmetic; Dimension (graph theory); Metric (unit); Metric dimension; Mathematics; Computer science; Discrete mathematics; Graph; Combinatorics; Engineering; Pathwidth; Operations management; Line graph","score_opus":0.012797765942900465,"score_gpt":0.2482482476489577,"score_spread":0.23545048170605723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9133939,0.0065842136,0.044034403,0.00037867358,0.03479611,0.00028165162,0.0000016784152,0.00015261713,0.00037672248],"genre_scores_gemma":[0.9755871,0.00008919109,0.024128953,0.000018981402,0.0001456877,8.350337e-7,3.9863957e-7,0.00002405444,0.0000047435506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99677753,0.0001236768,0.0014647052,0.00031147996,0.0009920427,0.0003305706],"domain_scores_gemma":[0.9966732,0.0012570973,0.0007673488,0.00037166267,0.0007186941,0.00021196541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024075313,0.0002901269,0.0008212898,0.0008493774,0.00017403581,0.00038725228,0.0006964947,0.00015721442,0.000002203862],"category_scores_gemma":[0.00044100452,0.00023033576,0.0003091057,0.0015308671,0.00010306948,0.0003816403,0.0003637284,0.00051036326,0.000002993604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001517748,0.00032742793,0.000044392233,0.00033090866,0.00011873656,0.000054479802,0.00088729087,0.00013813363,0.0018567189,0.99188435,0.00017868192,0.0041636797],"study_design_scores_gemma":[0.0015585594,0.0008413512,0.000027376658,0.0009489862,0.00009910822,0.0002206802,0.000086946166,0.10168211,0.0028362512,0.891186,0.00026747352,0.00024512503],"about_ca_topic_score_codex":0.000010484866,"about_ca_topic_score_gemma":6.303525e-8,"teacher_disagreement_score":0.10154398,"about_ca_system_score_codex":0.000041142448,"about_ca_system_score_gemma":0.00017657607,"threshold_uncertainty_score":0.939282},"labels":[],"label_agreement":null},{"id":"W4403165803","doi":"10.61091/jcmcc122-11","title":"Efficient Task Scheduling for Large-scale Graph Data Processing in Cloud Computing: A Particle Swarm Optimization Approach","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Cloud computing; Distributed computing; Scheduling (production processes); Particle swarm optimization; Theoretical computer science; Mathematical optimization; Algorithm; Mathematics; Operating system","score_opus":0.022101486945897225,"score_gpt":0.26987865280562356,"score_spread":0.24777716585972634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165803","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22759065,0.0012606158,0.7630451,0.00021741602,0.0072290096,0.00040795378,0.0000022516897,0.00012411115,0.00012294741],"genre_scores_gemma":[0.7918117,0.000007416026,0.20682953,0.000022951459,0.0012839263,0.0000023954888,0.0000032801433,0.000035505218,0.0000033051606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963529,0.00014686046,0.0014253742,0.0006602192,0.00076880015,0.00064581126],"domain_scores_gemma":[0.997589,0.0005780614,0.0006914573,0.00059537106,0.0003453787,0.00020075712],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005312123,0.00035184398,0.000727083,0.00036719852,0.00043286599,0.0011556691,0.0015124754,0.0001512224,4.4995537e-7],"category_scores_gemma":[0.00030626805,0.00031306586,0.00017504077,0.0011296156,0.000055495093,0.00012978067,0.0013268002,0.0005594647,6.6518e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039930525,0.0011383712,0.00003786104,0.0009852352,0.00007082234,0.000027989012,0.0059885653,0.6629277,0.00004973266,0.32302973,0.0000980614,0.0056059905],"study_design_scores_gemma":[0.0027672849,0.00026470015,0.000007918357,0.0009931567,0.000076234246,0.00006988847,0.00073770375,0.9617591,0.000040791805,0.03270123,0.00024930167,0.00033271097],"about_ca_topic_score_codex":0.000004750445,"about_ca_topic_score_gemma":2.3639556e-7,"teacher_disagreement_score":0.564221,"about_ca_system_score_codex":0.00011803073,"about_ca_system_score_gemma":0.00020151777,"threshold_uncertainty_score":0.99993217},"labels":[],"label_agreement":null},{"id":"W4403165805","doi":"10.61091/jcmcc122-12","title":"Tree Covers of Graphs and their Linear Preservers","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Mathematics; Forestry; Tree (set theory); Geography; Discrete mathematics","score_opus":0.018206796616971773,"score_gpt":0.2807509794985006,"score_spread":0.2625441828815288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8611735,0.0035598518,0.11953166,0.00031962566,0.013717664,0.00038832784,0.0000050047893,0.00012292463,0.0011814226],"genre_scores_gemma":[0.98837024,0.00016723905,0.01115563,0.000008298313,0.00026421263,0.000001001576,3.162408e-7,0.000025536101,0.0000075407825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997696,0.00015330472,0.0009053251,0.0002831453,0.0006302653,0.00033199115],"domain_scores_gemma":[0.9967744,0.0017241857,0.0004964534,0.00034407602,0.00044059407,0.00022033296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021865715,0.0002679244,0.00068292214,0.00044152138,0.00016046863,0.00028948108,0.0008502458,0.00012640742,0.000002577802],"category_scores_gemma":[0.00042030227,0.0002088115,0.00021482834,0.00072352245,0.00018102681,0.0006306962,0.00058921124,0.0005531444,8.152673e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004691216,0.00015114089,0.00007476602,0.00032103286,0.00014516515,0.000031142816,0.0018480079,0.000027517171,0.0015729696,0.9904797,0.00010770846,0.005193916],"study_design_scores_gemma":[0.0015692153,0.0008364534,0.000029945142,0.00050296966,0.00002911117,0.00012424518,0.00031219423,0.06129001,0.003189545,0.9314583,0.00046048718,0.00019755404],"about_ca_topic_score_codex":0.000005123315,"about_ca_topic_score_gemma":2.3800014e-7,"teacher_disagreement_score":0.1271967,"about_ca_system_score_codex":0.000035877878,"about_ca_system_score_gemma":0.00017323658,"threshold_uncertainty_score":0.8515086},"labels":[],"label_agreement":null},{"id":"W4403165812","doi":"10.61091/jcmcc122-09","title":"The Ecological Construction Path of English Vocabulary Teaching Based on Markov Chain in the Perspective of Ecological Linguistics","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Vocabulary; Ecology; Markov chain; Linguistics; Sociology; Path (computing); Geography; Computer science; Artificial intelligence; Biology; Philosophy; Machine learning","score_opus":0.009096567966734373,"score_gpt":0.25808362844764166,"score_spread":0.2489870604809073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758225,0.00007497126,0.00037623712,0.00043494083,0.011693089,0.00025098393,0.0000027078959,0.000009182523,0.011335362],"genre_scores_gemma":[0.99688447,0.000014434275,0.0021778303,0.0000268563,0.00088390725,0.0000020811844,6.606677e-7,0.000007708768,0.000002066586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981924,0.00018201604,0.00078367203,0.00012742172,0.00055626826,0.00015820315],"domain_scores_gemma":[0.9961931,0.0028290616,0.0005021217,0.00013399353,0.00030269215,0.000039020062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003607146,0.0001288706,0.00028950846,0.00008028638,0.0002360543,0.000083255036,0.00030110168,0.00009740781,0.000013905221],"category_scores_gemma":[0.006390911,0.00007022749,0.0001062581,0.00031374284,0.00026147187,0.000054463944,0.00008908186,0.00062853965,5.1668457e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043210573,0.00067188917,0.0009159395,0.00003618314,0.000018889645,0.0000050493927,0.0020569747,0.00028371476,0.00004221656,0.99495864,0.00023800472,0.0007292994],"study_design_scores_gemma":[0.001213678,0.00207083,0.0066355453,0.00037636555,0.0000553545,0.00001699976,0.0069257137,0.030294629,0.0001164753,0.94966024,0.0024650313,0.0001691618],"about_ca_topic_score_codex":0.000011553422,"about_ca_topic_score_gemma":9.69128e-7,"teacher_disagreement_score":0.045298412,"about_ca_system_score_codex":0.00018239448,"about_ca_system_score_gemma":0.00010633407,"threshold_uncertainty_score":0.7650979},"labels":[],"label_agreement":null},{"id":"W4403165816","doi":"10.61091/jcmcc122-05","title":"Selection Process Based on Advancing the Development of a Science and Technology Law System with Chinese Features","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Selection (genetic algorithm); Computer science; Law; Engineering ethics; Political science; Engineering; Artificial intelligence","score_opus":0.006637914636024796,"score_gpt":0.23748813725581197,"score_spread":0.2308502226197872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8155214,0.00052844716,0.16939059,0.00069638836,0.010208177,0.0006092794,5.11981e-7,0.0002010605,0.0028441115],"genre_scores_gemma":[0.9886477,0.000002232393,0.011092957,0.000017640525,0.0002210595,0.0000026046398,5.7818806e-8,0.000014001548,0.000001729745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99788994,0.000050217597,0.00061330415,0.00026154637,0.0009219463,0.00026302141],"domain_scores_gemma":[0.9977255,0.00049698,0.00040182422,0.00019313266,0.001087204,0.000095358824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024594828,0.00020632606,0.00041204767,0.00034513336,0.0006483702,0.00044406365,0.0006858434,0.00008066154,4.00018e-7],"category_scores_gemma":[0.00038502275,0.00011117662,0.00003765036,0.0015318376,0.00048246825,0.0003699932,0.00019253042,0.00041171833,3.1908587e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051758587,0.00014560318,0.000028704015,0.0006237322,0.000043033455,0.000008046448,0.003979559,0.00011280276,0.0017175224,0.9906067,0.000025884056,0.002656636],"study_design_scores_gemma":[0.0026523627,0.0032808962,0.000050191476,0.0043173064,0.00006992672,0.00067520526,0.0015656294,0.74279624,0.028807206,0.21486129,0.0004210542,0.00050268124],"about_ca_topic_score_codex":0.0000028404017,"about_ca_topic_score_gemma":0.0000010734767,"teacher_disagreement_score":0.77574545,"about_ca_system_score_codex":0.0001428398,"about_ca_system_score_gemma":0.0008212599,"threshold_uncertainty_score":0.49868047},"labels":[],"label_agreement":null},{"id":"W4403166143","doi":"10.61091/jcmcc122-26","title":"Chromatic Coloring of Distance Graphs V","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Chromatic scale; Combinatorics; Brooks' theorem; Mathematics; Computer science; Chordal graph; Graph; 1-planar graph","score_opus":0.01245569590072961,"score_gpt":0.24372716943562692,"score_spread":0.2312714735348973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403166143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8216535,0.005199383,0.13619985,0.00031520505,0.035195056,0.00028847018,0.0000018331318,0.000182687,0.0009640627],"genre_scores_gemma":[0.97806025,0.000070581154,0.021693353,0.000010786921,0.00013791856,0.0000010671525,2.4728368e-7,0.000020986869,0.000004827693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973393,0.000082738254,0.001301212,0.00024881412,0.0007364506,0.00029146436],"domain_scores_gemma":[0.99749327,0.0008251684,0.0007371584,0.00032867992,0.00044682482,0.00016887224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018937844,0.00024257733,0.0006958733,0.00036316377,0.00015976219,0.00037397267,0.0007075513,0.000111621404,0.000002233171],"category_scores_gemma":[0.00025744594,0.00020195397,0.00023211862,0.0008141123,0.00011495056,0.0004289703,0.000285823,0.0003934854,0.0000021066385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000105524405,0.00019487743,0.000037727954,0.0005677911,0.000096475575,0.000038842532,0.0012100236,0.000034884695,0.0014829785,0.9937323,0.00016033716,0.0024332653],"study_design_scores_gemma":[0.0011261125,0.00055365084,0.00002098958,0.0014301947,0.00005992353,0.00013555343,0.00008271095,0.044251803,0.001962537,0.94970375,0.00046595515,0.00020679814],"about_ca_topic_score_codex":0.0000049831096,"about_ca_topic_score_gemma":9.932884e-8,"teacher_disagreement_score":0.15640678,"about_ca_system_score_codex":0.000043402255,"about_ca_system_score_gemma":0.00017230495,"threshold_uncertainty_score":0.8235444},"labels":[],"label_agreement":null},{"id":"W4403166151","doi":"10.61091/jcmcc122-18","title":"Optimization and Three-Dimensional Review of the Reform Path of College English Education System Driven by Information Technology in the New Era","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Mathematics education; Computer science; Political science; Medical education; Psychology; Medicine; Computer network","score_opus":0.004776301099205957,"score_gpt":0.22349701110761877,"score_spread":0.2187207100084128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403166151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9739454,0.0040363804,0.0017383096,0.0042351224,0.012312503,0.0011013381,0.000016286343,0.00002192799,0.0025927434],"genre_scores_gemma":[0.99699205,0.00016068105,0.002626095,0.000047620728,0.00015708333,0.0000031779557,0.0000035523221,0.0000062148706,0.000003531565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984732,0.00003669426,0.00086163654,0.00007315642,0.00046528256,0.00009003096],"domain_scores_gemma":[0.9987917,0.00014037757,0.0006903278,0.00013165383,0.00021486194,0.00003107091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064682,0.0001009082,0.00025419545,0.000100196004,0.000098152275,0.00003786523,0.00024088571,0.0000763973,0.000007616899],"category_scores_gemma":[0.00028944504,0.000058801692,0.00004792796,0.00075245457,0.00008699104,0.00034608794,0.000117104886,0.00024934957,3.6590046e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007715538,0.00018412057,0.0004916384,0.0013993398,0.00002047363,2.620121e-7,0.0010089963,0.00017251658,0.00011376259,0.99140394,0.0031888015,0.002008443],"study_design_scores_gemma":[0.004323319,0.0014627259,0.0049702935,0.045997836,0.00039496965,0.000366487,0.009720961,0.0724846,0.0010684165,0.848859,0.009628899,0.00072246825],"about_ca_topic_score_codex":0.000045848265,"about_ca_topic_score_gemma":8.966617e-7,"teacher_disagreement_score":0.14254491,"about_ca_system_score_codex":0.00017645299,"about_ca_system_score_gemma":0.00025027464,"threshold_uncertainty_score":0.23978634},"labels":[],"label_agreement":null},{"id":"W4403166153","doi":"10.61091/jcmcc122-23","title":"The Semantic Function of Modern Chinese “Negation + X” Modal Words Based on Communication Technology and Big Data Corpus","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Negation; Modal; Natural language processing; Linguistics; Function (biology); Big data; Computer science; Artificial intelligence; Philosophy; Biology; Chemistry; Data mining","score_opus":0.017502228571844716,"score_gpt":0.2635157931493991,"score_spread":0.24601356457755438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403166153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803849,0.0004945996,0.011156323,0.001206156,0.00588321,0.00018487824,0.000003971856,0.00002125793,0.00066468737],"genre_scores_gemma":[0.99846894,0.00006725558,0.0011019157,0.000015742902,0.0003155887,0.0000018255231,0.000006114019,0.0000144934165,0.000008138854],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99857813,0.00004835674,0.00063580397,0.00015482111,0.00045292117,0.00012998753],"domain_scores_gemma":[0.998224,0.0007471907,0.00047240968,0.0003909486,0.000116992494,0.000048454483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014618086,0.00013572427,0.00023283514,0.00017363265,0.00034293332,0.00015451203,0.00040009074,0.000091534195,0.000004323432],"category_scores_gemma":[0.00044603844,0.00008860775,0.000038588067,0.00066681276,0.00020043163,0.0002323077,0.00029262045,0.0002788623,0.00000126259],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009933584,0.00044020417,0.0025688289,0.00013574064,0.00007507426,0.0000017334575,0.0006079659,0.0006389917,0.001552628,0.901812,0.0002774796,0.09179003],"study_design_scores_gemma":[0.0006448591,0.00034230007,0.0019342811,0.00023930654,0.000045079916,0.000015468295,0.000119328026,0.22002013,0.000083519546,0.77568924,0.00077103986,0.00009546997],"about_ca_topic_score_codex":0.000010320749,"about_ca_topic_score_gemma":0.0000021968294,"teacher_disagreement_score":0.21938114,"about_ca_system_score_codex":0.00007331008,"about_ca_system_score_gemma":0.000076875105,"threshold_uncertainty_score":0.3613319},"labels":[],"label_agreement":null},{"id":"W4403166158","doi":"10.61091/jcmcc122-27","title":"Efficient Domination in Grid Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grid; Computer science; Mathematics; Geometry","score_opus":0.014013155764631998,"score_gpt":0.28755652944821863,"score_spread":0.2735433736835866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403166158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7979623,0.0019130403,0.15484193,0.0004301013,0.04337721,0.00039430222,0.0000013237329,0.000121366495,0.00095841585],"genre_scores_gemma":[0.986268,0.0000391813,0.012841968,0.000010326467,0.0008105454,0.0000022878355,3.2195814e-7,0.000023284163,0.000004119614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972124,0.00017694659,0.0010179639,0.00030783136,0.00088473805,0.0004001233],"domain_scores_gemma":[0.99752045,0.0012927159,0.00035983694,0.00029627522,0.00035747988,0.00017322258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034895078,0.00023974448,0.00053056516,0.0008534217,0.00014859984,0.0005487058,0.00083598396,0.00012110821,0.0000027713777],"category_scores_gemma":[0.0004515772,0.00020809243,0.000174681,0.0013047577,0.00009330528,0.00033846393,0.00039202592,0.0007030975,0.0000047049944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002579066,0.00026501506,0.00004134817,0.00016742754,0.000032824104,0.00013602446,0.0014083417,0.00045336573,0.00047849378,0.99199325,0.00007543467,0.0049226955],"study_design_scores_gemma":[0.0015756903,0.0003568817,0.00008062029,0.00053047814,0.000013711394,0.0001544885,0.000108110915,0.16290984,0.0004466032,0.8332496,0.00037344376,0.00020050336],"about_ca_topic_score_codex":0.000003215696,"about_ca_topic_score_gemma":2.1094762e-7,"teacher_disagreement_score":0.18830566,"about_ca_system_score_codex":0.00014182214,"about_ca_system_score_gemma":0.00018155464,"threshold_uncertainty_score":0.8485763},"labels":[],"label_agreement":null},{"id":"W4403166159","doi":"10.61091/jcmcc122-30","title":"The λ -fold Spectrum Problem for the Orientations of the 6-Cycle","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fold (higher-order function); Chemistry; Computer science","score_opus":0.010267912076072014,"score_gpt":0.2779851194467196,"score_spread":0.2677172073706476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403166159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6233176,0.0015492416,0.32342553,0.006718954,0.03942269,0.0026183627,0.000047078836,0.000042296433,0.0028582045],"genre_scores_gemma":[0.9969919,0.0000061527085,0.0006484342,0.0000033239883,0.0022845103,0.00000921466,4.9398784e-7,0.000018643499,0.000037331352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99844134,0.00007017112,0.0006421768,0.00011777287,0.00045151994,0.00027703628],"domain_scores_gemma":[0.99647474,0.0026202616,0.00037801638,0.00021650686,0.0002407955,0.00006965972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011033481,0.00015296557,0.0002814952,0.000035114783,0.0007621115,0.0003301918,0.0005537338,0.000032826807,0.000006827394],"category_scores_gemma":[0.00008563153,0.000073219264,0.00032196668,0.00028108168,0.00020146609,0.000106330874,0.00020305919,0.00045641305,0.0000010308889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028709104,0.00013322169,0.00011096631,0.00003879075,0.000185098,2.8678355e-7,0.00047199073,0.00011684104,0.000119651384,0.9862524,0.0003042097,0.012237789],"study_design_scores_gemma":[0.0011275966,0.00031423743,0.000115955445,0.0002588341,0.00014821248,0.0000031537143,0.0011400635,0.017403424,0.0026714203,0.972073,0.004635826,0.00010822955],"about_ca_topic_score_codex":0.000016228621,"about_ca_topic_score_gemma":3.111018e-7,"teacher_disagreement_score":0.37367427,"about_ca_system_score_codex":0.000029139761,"about_ca_system_score_gemma":0.00023622414,"threshold_uncertainty_score":0.58616227},"labels":[],"label_agreement":null},{"id":"W4403166161","doi":"10.61091/jcmcc122-25","title":"Decomposition of Complete Graphs into Paths and Stars with Different Number of Edges","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stars; Combinatorics; Decomposition; Mathematics; Computer science; Astrophysics; Physics; Chemistry","score_opus":0.014974458052679803,"score_gpt":0.2936325487595871,"score_spread":0.2786580907069073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403166161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8829302,0.00062247756,0.11311447,0.00008130096,0.0028897633,0.00019307803,0.0000026716518,0.000029042001,0.00013699275],"genre_scores_gemma":[0.9685997,0.00008777074,0.03113777,0.0000039820416,0.00014411769,0.000001384527,6.6882035e-7,0.00002329306,0.0000013168071],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99750423,0.00016374921,0.0009891824,0.00026009392,0.0008169827,0.00026577993],"domain_scores_gemma":[0.9969905,0.0012507032,0.0007020069,0.00029142515,0.0005916628,0.00017372635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011635477,0.00026220968,0.0008022445,0.00032829779,0.0001425946,0.00020109826,0.0005613076,0.00009268552,0.0000025774536],"category_scores_gemma":[0.00010374086,0.00019717068,0.00014217784,0.0005363721,0.0002692364,0.00040661797,0.00039713306,0.00041628283,3.7212806e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010374571,0.00030048846,0.000627452,0.0007920771,0.000165052,0.000029979174,0.0020204247,0.000016202095,0.0039656,0.9860523,0.000016778169,0.005909931],"study_design_scores_gemma":[0.0019077071,0.0013095773,0.00035272454,0.0012796076,0.00006541963,0.00020980272,0.00020034995,0.010596135,0.0047236932,0.9790741,0.00006830307,0.00021258867],"about_ca_topic_score_codex":0.0000064840424,"about_ca_topic_score_gemma":3.9313693e-7,"teacher_disagreement_score":0.08566949,"about_ca_system_score_codex":0.000044836546,"about_ca_system_score_gemma":0.00010577094,"threshold_uncertainty_score":0.8040387},"labels":[],"label_agreement":null},{"id":"W4403166163","doi":"10.61091/jcmcc122-28","title":"The Multiplicative Sum Zagreb Indices of Graphs with Given Clique Number","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Clique; Multiplicative function; Mathematics; Combinatorics; Clique number; Discrete mathematics; Graph; Mathematical analysis","score_opus":0.01624176467393727,"score_gpt":0.2938648754923374,"score_spread":0.27762311081840013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403166163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903908,0.0004932653,0.0030864286,0.00036863328,0.003542708,0.00049022696,0.000006927905,0.000060800012,0.0015602182],"genre_scores_gemma":[0.99420375,0.00008559789,0.0052173804,0.000006300468,0.00042173258,0.0000046513346,7.119534e-7,0.000043988675,0.000015902355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976011,0.0001670034,0.0011516096,0.00020751568,0.0005880465,0.00028475013],"domain_scores_gemma":[0.9928729,0.004926029,0.0011631852,0.00033082097,0.00057310105,0.00013397675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023627202,0.0002804785,0.00064817123,0.00013556401,0.00041364421,0.00023469905,0.00052166457,0.00014007033,0.0000063066855],"category_scores_gemma":[0.00045703756,0.00017342303,0.00023145873,0.00055557216,0.0003403967,0.00017898048,0.00014473361,0.0006056497,0.0000024859764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001001504,0.00033335283,0.00015746031,0.0003483829,0.00031962205,0.000010075952,0.0028699134,0.0000024313294,0.00028843668,0.994331,0.00034248809,0.00089665735],"study_design_scores_gemma":[0.0012733514,0.00041822463,0.000057239533,0.0007843509,0.00021543153,0.00013031326,0.0012645157,0.00058319065,0.0016163575,0.9921357,0.0013202553,0.00020103622],"about_ca_topic_score_codex":0.0000048491,"about_ca_topic_score_gemma":0.0000010020159,"teacher_disagreement_score":0.0047590258,"about_ca_system_score_codex":0.000037887377,"about_ca_system_score_gemma":0.00014666085,"threshold_uncertainty_score":0.7071986},"labels":[],"label_agreement":null},{"id":"W4403166165","doi":"10.61091/jcmcc122-21","title":"On Binary DCP Labeling","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Binary number; Computer science; Mathematics; Arithmetic","score_opus":0.014679229704058886,"score_gpt":0.2545205884666052,"score_spread":0.2398413587625463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403166165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85353017,0.005471391,0.05317023,0.0018286993,0.08273334,0.0003589947,0.0000022363852,0.00049825205,0.0024067035],"genre_scores_gemma":[0.98029345,0.00006944003,0.01910975,0.00009507778,0.00038590407,0.0000010360386,4.1589314e-7,0.000032085303,0.000012842011],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99733657,0.00010281936,0.0010295379,0.00033825525,0.0008263202,0.00036648018],"domain_scores_gemma":[0.9973643,0.001212914,0.00043842776,0.00036313912,0.0003846946,0.00023652129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021572863,0.00030085054,0.0005731658,0.00046840357,0.00028080508,0.00083634706,0.0007334018,0.00015383662,0.000004201924],"category_scores_gemma":[0.0003579303,0.00024364426,0.00022012915,0.0006925913,0.0000692354,0.0004163802,0.00033177008,0.00068410614,0.000016585696],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001640879,0.0002624281,0.0000056877793,0.00016906652,0.000078842735,0.00012828677,0.0007581292,0.0001605988,0.00094989105,0.99337023,0.001357917,0.0027424854],"study_design_scores_gemma":[0.0013198892,0.0010263348,0.0000055768505,0.00094736484,0.00004256482,0.00017602238,0.00003938302,0.06097052,0.00070117606,0.9330358,0.0014706549,0.0002647418],"about_ca_topic_score_codex":0.0000031631648,"about_ca_topic_score_gemma":3.3784175e-8,"teacher_disagreement_score":0.1267633,"about_ca_system_score_codex":0.000061685096,"about_ca_system_score_gemma":0.0001788493,"threshold_uncertainty_score":0.9935525},"labels":[],"label_agreement":null},{"id":"W4406203377","doi":"10.61091/jcmcc123-17","title":"Practical Research on Machine Vision Technology in Automated Inspection of Precision Components in Intelligent Manufacturing","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hough transform; Artificial intelligence; Computer vision; Machine vision; Computer science; Calibration; Edge detection; Enhanced Data Rates for GSM Evolution; Object detection; Pattern recognition (psychology); Image processing; Image (mathematics); Mathematics","score_opus":0.05230977664981139,"score_gpt":0.3565162120400167,"score_spread":0.3042064353902053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851897,0.00032284204,0.001316495,0.00007062268,0.012266806,0.00033368723,0.0000010240644,0.00021630342,0.00028255687],"genre_scores_gemma":[0.99900943,0.000073126605,0.00050694606,7.758795e-7,0.00037180015,0.0000023489392,6.688952e-7,0.00003407752,8.0471614e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972001,0.00019713493,0.0013936865,0.00019251856,0.00073545176,0.00028116142],"domain_scores_gemma":[0.9982546,0.0010838617,0.00023442648,0.00016202734,0.00019045055,0.0000746185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003713548,0.00019977227,0.00061278546,0.002013207,0.00007966984,0.00012756005,0.00016013932,0.00033597264,0.0000023622479],"category_scores_gemma":[0.00038954226,0.00017354685,0.00008595978,0.0010144081,0.0000544927,0.00019002124,0.0001102229,0.0014169426,0.000004070171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021151511,0.00449597,0.0008694081,0.0045120097,0.00043327242,0.0010996107,0.0057148845,0.034749813,0.06257881,0.8313391,0.0023228426,0.049769085],"study_design_scores_gemma":[0.004137143,0.0026793343,0.00061688636,0.0075929235,0.000026946029,0.0002582996,0.00076364825,0.78175724,0.050921034,0.15023074,0.00066845486,0.00034733576],"about_ca_topic_score_codex":0.000027081363,"about_ca_topic_score_gemma":0.0000018348062,"teacher_disagreement_score":0.7470074,"about_ca_system_score_codex":0.0003638182,"about_ca_system_score_gemma":0.000055949145,"threshold_uncertainty_score":0.70770353},"labels":[],"label_agreement":null},{"id":"W4406203379","doi":"10.61091/jcmcc123-25","title":"Quantitative Analysis of Consumption Trends and Their Economic Effects Based on a Multi-Temporal Double-Difference Approach","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entertainment; Panel data; Consumption (sociology); China; Robustness (evolution); Econometrics; Economics; Regression analysis; Geography; Statistics; Mathematics; Political science; Sociology; Social science","score_opus":0.03685784265101148,"score_gpt":0.2567118889862687,"score_spread":0.21985404633525718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9539786,0.0015864618,0.039434128,0.000056514215,0.0039938074,0.00016713906,0.000031828913,0.000023266472,0.00072824664],"genre_scores_gemma":[0.99424106,0.00009738103,0.0054285573,0.00001257284,0.00016944841,0.0000043012687,0.000008679577,0.000030207697,0.000007780052],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978241,0.000061409024,0.0013908361,0.00039816726,0.000087367924,0.00023813576],"domain_scores_gemma":[0.99733233,0.000889885,0.001352274,0.00024919942,0.00003750433,0.00013881578],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015294193,0.00031523005,0.0013450971,0.0011739559,0.00010366115,0.00023321663,0.00024510553,0.0001629837,0.000012989364],"category_scores_gemma":[0.00007937334,0.0002979503,0.0003319295,0.00033919688,0.00014417418,0.0002008784,0.00007944662,0.00032599212,0.000003491428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013864288,0.00046575762,0.005290154,0.00039776068,0.0009983872,0.0000043870623,0.0009850453,0.0018692423,0.00009806478,0.9890359,0.000010889469,0.0007057929],"study_design_scores_gemma":[0.0049479436,0.0009765403,0.010906418,0.0002629073,0.0003143184,0.000008733008,0.000112214504,0.8666631,0.00029305028,0.115065895,0.00006639688,0.00038251074],"about_ca_topic_score_codex":0.000034276465,"about_ca_topic_score_gemma":0.0000014434122,"teacher_disagreement_score":0.87397,"about_ca_system_score_codex":0.00018258284,"about_ca_system_score_gemma":0.000040056453,"threshold_uncertainty_score":0.99994725},"labels":[],"label_agreement":null},{"id":"W4406203380","doi":"10.61091/jcmcc123-40","title":"A Study on the Application of Data Mining-based Crime Prediction Models in Criminal Justice","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Construct (python library); Node (physics); Raster graphics; Function (biology); Data mining; Algorithm; Artificial intelligence; Engineering","score_opus":0.11708675232950407,"score_gpt":0.3881246001850704,"score_spread":0.27103784785556634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96974206,0.00020827923,0.02023065,0.00033455685,0.0070879012,0.0005353185,0.00001056778,0.00002614336,0.0018244936],"genre_scores_gemma":[0.99862796,0.000008657545,0.0004453215,0.0000113290425,0.00088333467,0.0000038512662,0.0000018681767,0.000014302167,0.000003400666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99779737,0.00026685972,0.0008786394,0.0001928542,0.0006906648,0.0001735861],"domain_scores_gemma":[0.99756986,0.0013481665,0.00044608084,0.00029507873,0.00027435084,0.000066479035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042966013,0.00013065542,0.00032555618,0.00021057582,0.00025922593,0.0002074911,0.0005829206,0.000076617085,0.000008510985],"category_scores_gemma":[0.00045397057,0.00010030614,0.000093728755,0.00036345847,0.00009841044,0.00029323174,0.00013416617,0.00033277617,9.588736e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065495304,0.0017494366,0.00023313372,0.00028033953,0.000071415416,0.000012647775,0.021845527,0.00018855507,0.000060390088,0.97293246,0.0004300463,0.0021305587],"study_design_scores_gemma":[0.004436869,0.003346452,0.0008758992,0.0028871791,0.001378158,0.00001664661,0.09098216,0.44972715,0.00017525474,0.44461042,0.0011616165,0.0004021793],"about_ca_topic_score_codex":0.00013547472,"about_ca_topic_score_gemma":0.000010475221,"teacher_disagreement_score":0.52832204,"about_ca_system_score_codex":0.0000830338,"about_ca_system_score_gemma":0.00020505588,"threshold_uncertainty_score":0.40903658},"labels":[],"label_agreement":null},{"id":"W4406203381","doi":"10.61091/jcmcc123-15","title":"Research Path of Optimizing Kindergarten Brand Image Design Based on SVM and Component Analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Public Health and Nutrition","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Guangxi University","keywords":"Leverage (statistics); Empowerment; Path analysis (statistics); Component (thermodynamics); Early childhood; Psychology; Early childhood education; Quality (philosophy); Computer science; Developmental psychology; Artificial intelligence; Political science; Machine learning","score_opus":0.04170341438874248,"score_gpt":0.3447414263403301,"score_spread":0.30303801195158764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92836326,0.0020062467,0.061080035,0.0017893026,0.004946548,0.00080724235,0.000007142509,0.000054561922,0.00094563863],"genre_scores_gemma":[0.9853948,0.00011193303,0.013835441,0.000025638132,0.0005963828,0.000002184395,0.0000035302921,0.000027634313,0.000002481352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968364,0.00034538534,0.0010892315,0.00024533586,0.0011212443,0.00036235855],"domain_scores_gemma":[0.9957517,0.002475731,0.00039830783,0.00021199891,0.00083949,0.00032281346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061795823,0.00021013063,0.0009832244,0.001139611,0.0002082364,0.00021454493,0.00014055037,0.0001719491,0.00000986992],"category_scores_gemma":[0.0006294961,0.00017129755,0.00022256003,0.0010711405,0.00014293352,0.00014408593,0.00007854263,0.00080618175,8.857205e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008247718,0.010889113,0.001889292,0.01927106,0.0049532717,0.0015428626,0.007304814,0.0014037681,0.0227477,0.90173453,0.004045154,0.015970686],"study_design_scores_gemma":[0.019357728,0.010121456,0.0017655645,0.0064975275,0.0020892397,0.00031183878,0.0009975954,0.75044537,0.0040572514,0.20292698,0.0008877239,0.0005417423],"about_ca_topic_score_codex":0.000012084273,"about_ca_topic_score_gemma":6.7282244e-8,"teacher_disagreement_score":0.74904156,"about_ca_system_score_codex":0.00011920979,"about_ca_system_score_gemma":0.0004008276,"threshold_uncertainty_score":0.69853115},"labels":[],"label_agreement":null},{"id":"W4406203383","doi":"10.61091/jcmcc123-06","title":"Visual Analysis and Comparison of Frontiers and Hotspots of Physical Education Teaching Research in China and America Based on Improved Genetic Algorithm Rough Sets","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Physical education; Mathematics education; Curriculum; China; Computer science; Psychology; Pedagogy; Political science","score_opus":0.019122153879608042,"score_gpt":0.37331172035849336,"score_spread":0.35418956647888533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9554442,0.0011302045,0.040944807,0.00034839098,0.0019020087,0.00016106524,0.0000014742848,0.000013073454,0.000054735283],"genre_scores_gemma":[0.9549242,0.00004066634,0.044828657,0.000006619292,0.00018606738,0.000001976581,8.1274845e-7,0.00000989505,0.000001106736],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981186,0.000261369,0.00069495727,0.000278404,0.00044513648,0.0002015652],"domain_scores_gemma":[0.99787134,0.0011882294,0.0004461916,0.0001758499,0.0002156466,0.00010272877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014811258,0.00017164777,0.00071068556,0.0010185404,0.00014617789,0.00013945744,0.00026837888,0.00012276211,3.5756122e-7],"category_scores_gemma":[0.00021787005,0.00015475464,0.000076374854,0.00085607945,0.00021911133,0.00017062941,0.00019231034,0.0007003696,6.546562e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013257588,0.0037968582,0.012546481,0.0010789871,0.00053228205,0.000012808992,0.019730207,0.00033206475,0.0015132788,0.515625,0.00010966336,0.4445898],"study_design_scores_gemma":[0.00079837366,0.0012866773,0.009244296,0.00037678174,0.00010747057,0.0000143357065,0.00067188544,0.75424504,0.00035703336,0.23273389,0.000029794903,0.00013440468],"about_ca_topic_score_codex":0.00006451519,"about_ca_topic_score_gemma":4.0454248e-7,"teacher_disagreement_score":0.753913,"about_ca_system_score_codex":0.000046915786,"about_ca_system_score_gemma":0.00027612635,"threshold_uncertainty_score":0.6310711},"labels":[],"label_agreement":null},{"id":"W4406203384","doi":"10.61091/jcmcc123-24","title":"Deep Learning Model Based Research on Anomaly Detection and Financial Fraud Identification in Corporate Financial Reporting Statements","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial statement; Anomaly detection; Audit; Artificial neural network; Autoencoder; Accounting; Artificial intelligence; Computer science; Financial ratio; Anomaly (physics); Identification (biology); F1 score; Machine learning; Finance; Data mining; Business","score_opus":0.08164214882031957,"score_gpt":0.35736388435227084,"score_spread":0.2757217355319513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40898374,0.000121228615,0.5871869,0.00010290637,0.003192766,0.00024858746,8.02344e-7,0.000083598774,0.00007949312],"genre_scores_gemma":[0.98355746,0.000036159665,0.016002253,0.000016336991,0.00034814142,0.000009055519,0.0000018437473,0.000022916985,0.0000058409955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99596936,0.00027744716,0.0020109455,0.00044911704,0.00092651864,0.00036662174],"domain_scores_gemma":[0.99619216,0.00061807357,0.0021188722,0.0003076692,0.00064088235,0.00012235076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008662095,0.0002264486,0.00048206918,0.0008520704,0.00038372978,0.00086802826,0.00048093576,0.00019200996,7.469809e-7],"category_scores_gemma":[0.0031237795,0.00022211499,0.00007783066,0.0010162472,0.00008519908,0.0008250467,0.00025284258,0.0011657943,0.0000016369082],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085103275,0.0004123066,0.0002624668,0.00039373816,0.00001798929,0.00011852808,0.001660576,0.0025716512,0.008111841,0.9416048,0.00008282379,0.044678155],"study_design_scores_gemma":[0.0007028776,0.00040076632,0.0005889179,0.00043663866,0.000008310319,0.000021432685,0.000042774736,0.6067991,0.0031837155,0.38759306,0.000073412535,0.00014897894],"about_ca_topic_score_codex":0.000008579627,"about_ca_topic_score_gemma":0.000001482698,"teacher_disagreement_score":0.6042274,"about_ca_system_score_codex":0.00024482567,"about_ca_system_score_gemma":0.00036417996,"threshold_uncertainty_score":0.9057587},"labels":[],"label_agreement":null},{"id":"W4406203386","doi":"10.61091/jcmcc123-13","title":"A Study of Gamification Design and Student Motivational Stimulation in Physical Education Instruction","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Motivation and Self-Concept in Sports","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Physical education; Psychology; Class (philosophy); Mathematics education; Identity (music); Self-determination theory; Regression analysis; Intrinsic motivation; Control (management); Social psychology; Mathematics; Computer science; Autonomy; Statistics","score_opus":0.02886520233374801,"score_gpt":0.33713035819127835,"score_spread":0.30826515585753034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865648,0.00015407651,0.0039848676,0.00003166526,0.008508768,0.0005044375,3.6369016e-7,0.000017381832,0.00023359498],"genre_scores_gemma":[0.9983316,0.000006272944,0.00094040955,0.0000044260946,0.000685665,0.0000068832933,0.0000016463905,0.000016967715,0.0000061120127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99812275,0.00019269365,0.0009187769,0.00019601824,0.00045228712,0.00011746993],"domain_scores_gemma":[0.9983059,0.0006180444,0.0005815854,0.0001210422,0.00031143235,0.00006197589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011661759,0.0001529803,0.000392597,0.00036635727,0.000069612885,0.000092753064,0.00010717788,0.00008777137,0.000010106008],"category_scores_gemma":[0.00012697339,0.00014031866,0.000047986458,0.00038251688,0.000042680767,0.00020137857,0.000042326596,0.00028151082,7.628994e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015062829,0.005559806,0.0190674,0.00015563799,0.00013595268,0.000011348607,0.06974369,0.0006872202,0.00018488617,0.8893066,0.000076957054,0.014919862],"study_design_scores_gemma":[0.013668298,0.0046839146,0.23694591,0.0011941493,0.00030490741,0.00019175082,0.05019742,0.019952197,0.0001284603,0.6719937,0.00018199635,0.0005573471],"about_ca_topic_score_codex":0.000012540516,"about_ca_topic_score_gemma":2.0155753e-7,"teacher_disagreement_score":0.2178785,"about_ca_system_score_codex":0.00007955616,"about_ca_system_score_gemma":0.000119826975,"threshold_uncertainty_score":0.57220286},"labels":[],"label_agreement":null},{"id":"W4406203387","doi":"10.61091/jcmcc123-02","title":"Mascot Explosive Works and Branding Operation Based on the Popularity of Sports Events-On the Integration and Reform of China’s Animation Industry","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Animation; China; Popularity; Mascot; Modernization theory; Entertainment; Industrialisation; Event (particle physics); Advertising; Political science; Business; Sociology; Computer science; Computer graphics (images)","score_opus":0.025600371911755897,"score_gpt":0.2789865414411276,"score_spread":0.2533861695293717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98227096,0.00012011811,0.012226502,0.0011489908,0.003603484,0.00025884368,0.0000011044698,0.000014076867,0.0003559473],"genre_scores_gemma":[0.99905837,0.000028225933,0.00065412157,0.000024163759,0.00022066223,0.0000019503123,6.9804446e-7,0.000010039532,0.0000017973666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998322,0.000105117564,0.00067502965,0.00015732477,0.0006126379,0.00012787811],"domain_scores_gemma":[0.9983783,0.00066247536,0.0005339068,0.00018455628,0.00017384556,0.000066968016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018087713,0.00016918324,0.00033923972,0.00012293566,0.00017333767,0.00032631343,0.00026214408,0.00012791813,0.0000017304654],"category_scores_gemma":[0.00024366294,0.000096390526,0.0000724577,0.0002260773,0.00006784758,0.0004068877,0.00013091008,0.0005281853,1.7315007e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043890806,0.00015397287,0.00009151663,0.00014081316,0.000030113952,0.0000040314444,0.0015339066,0.000027138156,0.00034974766,0.99161214,0.000018735294,0.0059940214],"study_design_scores_gemma":[0.0013342306,0.0016026087,0.0013965915,0.006001187,0.00006558785,0.00003700713,0.00096825376,0.24441679,0.008167202,0.73579377,0.000015835029,0.00020094911],"about_ca_topic_score_codex":0.0000045925667,"about_ca_topic_score_gemma":1.3365394e-7,"teacher_disagreement_score":0.25581834,"about_ca_system_score_codex":0.000052371957,"about_ca_system_score_gemma":0.000071810384,"threshold_uncertainty_score":0.39306915},"labels":[],"label_agreement":null},{"id":"W4406203391","doi":"10.61091/jcmcc123-28","title":"Research and Discussion on the Construction of Curriculum Resource System Based on the Background of Educational Informatization","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Southwest Jiaotong University","keywords":"Curriculum; Informatization; Promotion (chess); Context (archaeology); Quality (philosophy); Engineering ethics; Humanism; Sociology; Mathematics education; Knowledge management; Political science; Public relations; Computer science; Pedagogy; Engineering; Psychology","score_opus":0.029755674424337266,"score_gpt":0.31772493443259286,"score_spread":0.2879692600082556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9680589,0.00021781643,0.0077203168,0.013220463,0.007858672,0.00035218158,0.0000024663984,0.00002478475,0.0025444028],"genre_scores_gemma":[0.99802536,0.000009700431,0.0015752943,0.000016275573,0.00035671308,0.0000029875519,8.051925e-7,0.0000073190004,0.0000055298738],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980477,0.00025120706,0.00069841783,0.00013343051,0.0007263649,0.00014286209],"domain_scores_gemma":[0.99394053,0.0046436647,0.00055404665,0.0002741051,0.00053935434,0.000048317113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003376407,0.00012448139,0.0002584811,0.0003120141,0.000349209,0.00017740965,0.0005253527,0.000109526016,0.000004510702],"category_scores_gemma":[0.00036392082,0.00006288715,0.00006437916,0.00063523714,0.00027851385,0.00016621023,0.00015208394,0.00054398976,0.0000013171746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016299675,0.00019882634,0.00008637947,0.00024592524,0.000025921458,5.3188853e-7,0.00071152387,0.000046908153,0.000040736042,0.997613,0.0003710114,0.00064292434],"study_design_scores_gemma":[0.00056449237,0.0009320866,0.00021111393,0.0022188567,0.000023255998,0.00007144118,0.0061067757,0.09189265,0.00088892557,0.896478,0.00050238054,0.000110047265],"about_ca_topic_score_codex":0.000004302343,"about_ca_topic_score_gemma":8.806769e-8,"teacher_disagreement_score":0.10113504,"about_ca_system_score_codex":0.000067871595,"about_ca_system_score_gemma":0.0002916498,"threshold_uncertainty_score":0.26858684},"labels":[],"label_agreement":null},{"id":"W4406203392","doi":"10.61091/jcmcc123-35","title":"Research on English Learning Content Rendering and Interactive Application Based on Multimedia Technology","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Rendering (computer graphics); Connotation; Beauty; Perspective (graphical); Multimedia; Linguistics; Human–computer interaction; Artificial intelligence; Aesthetics; Art; Philosophy","score_opus":0.04752664795442927,"score_gpt":0.35179079887239867,"score_spread":0.3042641509179694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81397486,0.00088299304,0.15481113,0.0038316788,0.02365872,0.00055580743,0.0000012171016,0.0004076571,0.0018759475],"genre_scores_gemma":[0.9917152,0.00003075201,0.007411587,0.000024125944,0.0007821464,0.000007791043,6.560875e-7,0.000018299614,0.00000944628],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980869,0.0001678721,0.0005558842,0.0003395447,0.00056732615,0.00028241848],"domain_scores_gemma":[0.9954612,0.0031534953,0.00030303816,0.00025413235,0.00071935507,0.00010877999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002453018,0.00019059748,0.00036449992,0.0009499801,0.00032933638,0.0003087768,0.0005189954,0.0002359581,0.000001626416],"category_scores_gemma":[0.0012348338,0.00016815453,0.000065298686,0.0006935446,0.0001511396,0.00021557898,0.0002537814,0.0016813325,0.000004469226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042005082,0.0002692834,0.000107103646,0.00008879818,0.000042822034,0.000019899226,0.0016362929,0.00012852346,0.00040665083,0.9734686,0.000067548026,0.023722462],"study_design_scores_gemma":[0.0019122502,0.0026564698,0.00017760888,0.0012735404,0.000026819085,0.00008383971,0.002171251,0.35272858,0.0029141295,0.63208777,0.0036686664,0.00029908176],"about_ca_topic_score_codex":0.000003477157,"about_ca_topic_score_gemma":1.3501594e-7,"teacher_disagreement_score":0.35260007,"about_ca_system_score_codex":0.00013140909,"about_ca_system_score_gemma":0.00018673741,"threshold_uncertainty_score":0.73046464},"labels":[],"label_agreement":null},{"id":"W4406203393","doi":"10.61091/jcmcc123-08","title":"Legal Impact of Digital Information Technology on the Chain of Evidence in Criminal Cases","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Credibility; Digital evidence; Computer science; Construct (python library); Resource (disambiguation); Foundation (evidence); Criminal justice; Guideline; Data mining; Artificial intelligence; Digital forensics; Computer security; Political science; Law","score_opus":0.08257561829380451,"score_gpt":0.3724800033732775,"score_spread":0.289904385079473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99302906,0.00021630633,0.0005874931,0.00052433944,0.00426562,0.00022970862,0.0000032182222,0.000017412332,0.0011268631],"genre_scores_gemma":[0.99939024,0.000046459903,0.0001421108,0.00000411605,0.00040466865,0.0000010926819,2.001096e-7,0.0000086196505,0.0000025042254],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99769855,0.00012043058,0.0011506251,0.00009193139,0.0007058387,0.00023260404],"domain_scores_gemma":[0.99519527,0.0033113805,0.0007574363,0.00014286848,0.0005266415,0.00006639516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027266804,0.00014734743,0.00044095903,0.0004221461,0.00016078076,0.00026282034,0.00043889732,0.00014562263,0.000011483686],"category_scores_gemma":[0.005205665,0.00009480049,0.00018203944,0.0007726323,0.0004472992,0.0008183586,0.00010658481,0.00043403704,0.0000023032503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008429416,0.00015690994,0.0003840186,0.00011680803,0.00003908728,0.00001814661,0.007979953,0.000093130635,0.00011175255,0.98652023,0.000056891615,0.0044387714],"study_design_scores_gemma":[0.0004254162,0.002352464,0.00009475305,0.0030328329,0.000073664676,0.00006714539,0.01258964,0.0044451295,0.0021271103,0.9739546,0.00062231836,0.00021490546],"about_ca_topic_score_codex":0.00025572637,"about_ca_topic_score_gemma":0.0000052670453,"teacher_disagreement_score":0.012565616,"about_ca_system_score_codex":0.00016980912,"about_ca_system_score_gemma":0.0005115501,"threshold_uncertainty_score":0.6232043},"labels":[],"label_agreement":null},{"id":"W4406203396","doi":"10.61091/jcmcc123-01","title":"Decomposition of A Complete Equipartite Graph into Gregarious \\(\\mathcal{Y}_5\\) Tree","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Graph; Tree (set theory); Mathematics; Decomposition; Tree decomposition; Discrete mathematics; Chemistry; Pathwidth; Line graph","score_opus":0.016275355210054982,"score_gpt":0.2716088382100886,"score_spread":0.2553334830000336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203396","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37784997,0.0021587424,0.5702288,0.00037401795,0.047519244,0.00036755786,0.0000022696713,0.00015747796,0.0013419145],"genre_scores_gemma":[0.98657143,0.00003754924,0.011986073,0.00002132996,0.0013441234,0.0000022710763,9.90723e-7,0.000028761724,0.000007473475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966712,0.00019139078,0.0016986185,0.0003135418,0.0007795073,0.00034573002],"domain_scores_gemma":[0.99700767,0.0008466017,0.00094843225,0.0003651213,0.0006308545,0.0002012978],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020820869,0.00031169772,0.0008987094,0.00045915396,0.00023944779,0.00065651676,0.0007982993,0.00017821524,0.000004900541],"category_scores_gemma":[0.00013207615,0.00026660503,0.0003766777,0.00070281327,0.000099624485,0.0005778624,0.00035089478,0.00050525035,0.0000056226204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003541409,0.00024158531,0.000028131662,0.00045999198,0.00017823347,0.00006594146,0.002930722,0.000111309295,0.0021122114,0.9883534,0.0005294196,0.00495366],"study_design_scores_gemma":[0.001831709,0.0012759618,0.000036540067,0.0016828579,0.00008620639,0.0005379302,0.00016144422,0.20265538,0.0009446887,0.7886471,0.0018017858,0.00033839417],"about_ca_topic_score_codex":0.000027219376,"about_ca_topic_score_gemma":0.00000180206,"teacher_disagreement_score":0.60872144,"about_ca_system_score_codex":0.00010365612,"about_ca_system_score_gemma":0.00015150504,"threshold_uncertainty_score":0.9999786},"labels":[],"label_agreement":null},{"id":"W4406203399","doi":"10.61091/jcmcc123-29","title":"Intelligent Education Realizes the Redistribution Effect of Music Professional Education","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Music Education Insights","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Music education; Curriculum; Computer science; Resource (disambiguation); Mathematics education; Multimedia; Pedagogy; Psychology","score_opus":0.023999721721379968,"score_gpt":0.2833679232213982,"score_spread":0.2593682015000182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80807674,0.0018677427,0.00023228148,0.00064394623,0.17611535,0.00056189933,0.0000066522825,0.00004151709,0.012453871],"genre_scores_gemma":[0.9938508,0.000023130653,0.00009146676,0.000025021682,0.005814502,0.0000072714633,0.000008877317,0.000019300733,0.0001596289],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981496,0.00017942116,0.00085586304,0.00014096408,0.0005272967,0.0001468877],"domain_scores_gemma":[0.99735063,0.00091813377,0.00070845225,0.0001724034,0.0007684302,0.00008192866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015124289,0.00018979248,0.00037848335,0.00020000804,0.00033346048,0.0003688954,0.00026147673,0.000073281095,0.00009113982],"category_scores_gemma":[0.00036281627,0.000120054756,0.00016171127,0.00014870329,0.0001936398,0.0002629514,0.000085858235,0.00034516418,0.000005671532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041851185,0.0004491584,0.000012027578,0.00051652535,0.00007622891,8.436411e-7,0.017735764,0.0000012509189,0.00007735413,0.95783925,0.012992571,0.010257187],"study_design_scores_gemma":[0.0008378246,0.0010028811,0.00002987977,0.0028892858,0.0003710032,0.00005761697,0.011126352,0.00071308715,0.0015315342,0.8482544,0.1329286,0.00025752286],"about_ca_topic_score_codex":0.00003077106,"about_ca_topic_score_gemma":0.0000010005963,"teacher_disagreement_score":0.18577406,"about_ca_system_score_codex":0.000118282565,"about_ca_system_score_gemma":0.00083858846,"threshold_uncertainty_score":0.4895691},"labels":[],"label_agreement":null},{"id":"W4406203400","doi":"10.61091/jcmcc123-31","title":"Research on Digitalization and Efficiency Optimization of Power Grid Based on Big Data Analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Hubei Province","keywords":"Islanding; Distributed generation; Computer science; Fault (geology); Smart grid; Distributed power; Distributed computing; Grid; Load balancing (electrical power); Process (computing); Demand response; Division (mathematics); Power (physics); Reliability engineering; Real-time computing; Engineering; Electrical engineering; Renewable energy; Electricity; Voltage","score_opus":0.038601174697196906,"score_gpt":0.2939387579040577,"score_spread":0.2553375832068608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61292076,0.0018054997,0.34489456,0.0001361606,0.034952477,0.0004927078,0.000043744705,0.0002972314,0.0044568335],"genre_scores_gemma":[0.9985816,0.00005136698,0.00094250793,0.000001878715,0.00038875258,7.219954e-7,0.0000065717877,0.000025405203,0.0000012127742],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818516,0.00006211874,0.00069467525,0.00019658064,0.00066792325,0.00019352588],"domain_scores_gemma":[0.99826264,0.0008478788,0.00019021743,0.00036859445,0.00026237752,0.00006827839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019063466,0.00016801427,0.0004818182,0.00095592206,0.000099413024,0.0002711869,0.00034724534,0.00013594313,0.0000020586003],"category_scores_gemma":[0.0003686265,0.00013854842,0.00007643038,0.0012230362,0.000074546144,0.00014821897,0.00014352707,0.00036608748,5.1807024e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007559731,0.0005898512,0.0001588995,0.0011700485,0.0007253996,0.000042100393,0.00064546696,0.30412018,0.00018807733,0.685987,0.00090606173,0.0053913062],"study_design_scores_gemma":[0.0007881934,0.00077595876,0.00004694341,0.0008001916,0.0001414788,0.000007726441,0.00020306866,0.97289056,0.0003871916,0.023392651,0.00040585658,0.00016020711],"about_ca_topic_score_codex":0.0000032299813,"about_ca_topic_score_gemma":1.599368e-7,"teacher_disagreement_score":0.6687703,"about_ca_system_score_codex":0.000057667494,"about_ca_system_score_gemma":0.000050490486,"threshold_uncertainty_score":0.564984},"labels":[],"label_agreement":null},{"id":"W4406203401","doi":"10.61091/jcmcc123-33","title":"Research on the Deep Integration of Moral Education Elements in College Students’ Career Planning Education for Intelligent Teaching and Learning","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Class (philosophy); Psychology; Test (biology); Value (mathematics); Mathematics education; Moral education; Citizen journalism; Pedagogy; Computer science; Artificial intelligence","score_opus":0.0918759790756035,"score_gpt":0.45043803983109837,"score_spread":0.35856206075549485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98662245,0.00040559575,0.0016647312,0.0007105392,0.0073556313,0.00071915216,9.174838e-7,0.000014793424,0.0025061942],"genre_scores_gemma":[0.9944167,0.000024601326,0.0042696977,0.000019162328,0.0011945005,0.000022221016,0.0000020105688,0.000016031016,0.000035072153],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99735266,0.00072327646,0.000743224,0.00014850457,0.00083225325,0.0002001085],"domain_scores_gemma":[0.99513763,0.0032502455,0.00041896047,0.000078476594,0.0010590494,0.00005566354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014160878,0.000119126526,0.0002549544,0.0005090736,0.0006723739,0.00027844546,0.00028587953,0.000095571064,0.0000028740835],"category_scores_gemma":[0.0032027238,0.00009562702,0.0000506849,0.00048846734,0.0001271382,0.00019660249,0.000084288426,0.0009931516,2.486203e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033910976,0.00043502785,0.000930192,0.000106978514,0.000025763486,4.2145538e-7,0.031674307,0.00000773823,0.000121144665,0.9567219,0.00040376806,0.009538876],"study_design_scores_gemma":[0.00036676993,0.00061609293,0.00054067676,0.0023297672,0.000024633378,0.0000035848439,0.102803364,0.0014543785,0.00040130742,0.8883232,0.0030096746,0.00012655977],"about_ca_topic_score_codex":0.000106880296,"about_ca_topic_score_gemma":0.0000040460527,"teacher_disagreement_score":0.07112906,"about_ca_system_score_codex":0.0003547008,"about_ca_system_score_gemma":0.00085495005,"threshold_uncertainty_score":0.5171424},"labels":[],"label_agreement":null},{"id":"W4406203402","doi":"10.61091/jcmcc123-21","title":"Optimization of Ideological and Political Education Path and Evaluation of Teaching Effect in Universities Based on Intelligent Computing Model","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ideology; Credibility; Politics; Vitality; Curriculum; Path (computing); Intersection (aeronautics); Humanism; Computer science; Engineering ethics; Sociology; Higher education; Mathematics education; Political science; Pedagogy; Psychology; Engineering","score_opus":0.025715949085316055,"score_gpt":0.3470240982210594,"score_spread":0.32130814913574335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98709655,0.00023554452,0.007915161,0.0004072739,0.0019910152,0.00022866238,9.4104166e-7,0.000010125131,0.0021147255],"genre_scores_gemma":[0.9964722,0.00001298288,0.0031860417,0.000018645178,0.0002999401,6.675099e-7,0.0000011127383,0.000006477815,0.0000019540266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979433,0.00057981146,0.00059158064,0.00013482399,0.0005620688,0.0001884507],"domain_scores_gemma":[0.9970614,0.002112339,0.00028388514,0.000057466816,0.0003619798,0.0001229724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004950267,0.000120334545,0.0003824074,0.00022760272,0.0001481051,0.00007433707,0.00009427353,0.00013840554,0.0000040989726],"category_scores_gemma":[0.0013899179,0.00009965073,0.00005743969,0.00015951387,0.00022938845,0.00012491558,0.000054792017,0.00030983437,7.4436635e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004257843,0.00028056433,0.00048881467,0.0002514019,0.00001202011,8.220631e-7,0.0032142333,0.0071850987,0.000020622774,0.9844324,0.0000067091573,0.004064707],"study_design_scores_gemma":[0.00059793424,0.0005658557,0.00018098006,0.0007343213,0.000077689176,0.0000023816199,0.002440752,0.6075899,0.000064067695,0.38766196,0.0000065518752,0.00007760953],"about_ca_topic_score_codex":0.00012191447,"about_ca_topic_score_gemma":8.5474204e-7,"teacher_disagreement_score":0.6004048,"about_ca_system_score_codex":0.00018728721,"about_ca_system_score_gemma":0.00061343744,"threshold_uncertainty_score":0.4063639},"labels":[],"label_agreement":null},{"id":"W4406203403","doi":"10.61091/jcmcc123-09","title":"Multi-Decomposition of Graphs into Paths and \\(Y\\)-Trees of Order Five","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Mathematics; Bipartite graph; Graph; Spanning tree; Disjoint sets; Discrete mathematics","score_opus":0.006841013643729089,"score_gpt":0.23772190450346958,"score_spread":0.2308808908597405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98205113,0.0030614035,0.004911306,0.000011944518,0.009605847,0.00015404978,0.0000038076869,0.000044141536,0.00015635684],"genre_scores_gemma":[0.995656,0.0001348027,0.0039114454,0.0000013989286,0.00026024308,0.0000010563223,8.939239e-7,0.000032401917,0.0000017375268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99827576,0.00007358318,0.0010415404,0.0001234004,0.00032108612,0.00016463811],"domain_scores_gemma":[0.99859625,0.00049638416,0.00035928233,0.00013413634,0.0003149888,0.00009894077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000974099,0.00021738875,0.00068291416,0.0002899568,0.00007381354,0.0000799081,0.00017195095,0.00013847959,0.0000029059254],"category_scores_gemma":[0.00009708041,0.00019102886,0.00014881966,0.00035366212,0.00010509066,0.00017629554,0.00007178066,0.00029439072,4.2948244e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006543682,0.00032639925,0.00021850277,0.0034247471,0.0004716014,0.000026753301,0.008042627,0.0005729298,0.032777015,0.9513548,0.00009583,0.0026233522],"study_design_scores_gemma":[0.0031996921,0.0009157347,0.00025169956,0.003032868,0.00025365734,0.00014856915,0.0014642086,0.09058619,0.010718492,0.88888305,0.00016337886,0.00038243353],"about_ca_topic_score_codex":0.000009424555,"about_ca_topic_score_gemma":5.404668e-7,"teacher_disagreement_score":0.09001326,"about_ca_system_score_codex":0.00002507346,"about_ca_system_score_gemma":0.000036239406,"threshold_uncertainty_score":0.778993},"labels":[],"label_agreement":null},{"id":"W4406203406","doi":"10.61091/jcmcc123-16","title":"Exploring How Employee Satisfaction Moderates the Relationship between Firm Performance and Innovative Behaviour Based on Machine Learning Models","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Autoencoder; Job satisfaction; Human resource management; Employee engagement; Psychology; Knowledge management; Business; Marketing; Artificial intelligence; Deep learning; Computer science; Social psychology; Management; Economics","score_opus":0.06313421390939764,"score_gpt":0.24936094069907688,"score_spread":0.18622672678967925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99310625,0.0001117866,0.0026275774,0.00077921315,0.0029431228,0.00026386918,0.0000010365954,0.00006217944,0.000104990904],"genre_scores_gemma":[0.9980584,0.000014386022,0.00028296432,0.000030916464,0.0015531227,0.0000069562147,0.0000038808475,0.0000451447,0.000004268535],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983308,0.00005221911,0.00057695777,0.00022174725,0.00057449803,0.00024379868],"domain_scores_gemma":[0.9976491,0.0013854061,0.0004999627,0.00014572439,0.00029144657,0.000028363671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016113806,0.00027514368,0.00039206658,0.00031299106,0.00066397135,0.0010200052,0.0001781069,0.000092118455,0.0000026192074],"category_scores_gemma":[0.00062706386,0.00020881851,0.00007228518,0.0006163196,0.00010589821,0.0017297015,0.00019587706,0.0008390767,0.0000020411262],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086436135,0.00011629107,0.65017104,0.00094360026,0.00005863785,0.000013560845,0.0008005005,0.007583364,0.000021705682,0.33672702,0.00004723967,0.003430568],"study_design_scores_gemma":[0.0018908491,0.00024763678,0.27315223,0.0011295608,0.0001984285,0.000015730035,0.00066694524,0.44632813,0.00004662164,0.27570924,0.00017575575,0.00043883934],"about_ca_topic_score_codex":0.000038665195,"about_ca_topic_score_gemma":5.40801e-7,"teacher_disagreement_score":0.43874478,"about_ca_system_score_codex":0.00013567515,"about_ca_system_score_gemma":0.00004092729,"threshold_uncertainty_score":0.9835934},"labels":[],"label_agreement":null},{"id":"W4406203409","doi":"10.61091/jcmcc123-12","title":"A Text-Free Training Method for Generating Face Images Based on Chinese Text","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Heilongjiang Province; National Natural Science Foundation of China","keywords":"Computer science; Generator (circuit theory); Face (sociological concept); Artificial intelligence; Embedding; Image (mathematics); Generative adversarial network; Natural language processing; Construct (python library); Word (group theory); Pattern recognition (psychology); Semantics (computer science); Word embedding; Feature (linguistics); Feature extraction; Mathematics","score_opus":0.02124322088521962,"score_gpt":0.30054369821280935,"score_spread":0.2793004773275897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203409","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015558528,0.00035749676,0.97181326,0.0012652301,0.010045199,0.00027031268,0.0000072123526,0.00012744212,0.0005552915],"genre_scores_gemma":[0.6791158,0.000011098459,0.31922323,0.00011699935,0.0014729503,0.0000054922743,0.0000016058477,0.000037426944,0.00001539433],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99718803,0.00017972577,0.0010792906,0.00040211025,0.00074802595,0.00040279038],"domain_scores_gemma":[0.9953274,0.0029841247,0.00059821334,0.00040488772,0.00045717563,0.00022821239],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0031269556,0.00037158202,0.00085736794,0.00048411195,0.00038228527,0.0012608563,0.0009474173,0.00014676376,0.0000062063186],"category_scores_gemma":[0.0014499719,0.00029499023,0.00047332095,0.0007468872,0.000041892978,0.00040896772,0.0002406177,0.0005144312,0.000003150331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064199805,0.0005683639,0.00001280095,0.0006956454,0.0003328666,0.00007643769,0.0037515003,0.004002834,0.0037269245,0.8912472,0.0015154416,0.09400579],"study_design_scores_gemma":[0.0021441986,0.0005127565,0.0000039050087,0.00049820857,0.00007656179,0.000055781325,0.00018460036,0.7082995,0.00068937254,0.28678972,0.0004887662,0.00025661333],"about_ca_topic_score_codex":0.00000302692,"about_ca_topic_score_gemma":2.1300693e-7,"teacher_disagreement_score":0.70429665,"about_ca_system_score_codex":0.000083460036,"about_ca_system_score_gemma":0.0002658018,"threshold_uncertainty_score":0.99995023},"labels":[],"label_agreement":null},{"id":"W4406203410","doi":"10.61091/jcmcc123-38","title":"Challenges and Strategies for Developing Henan’s Aviation Core Industry Using Entropy Weight and Grey Decision Analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Aviation; Globalization; Entropy (arrow of time); Business; Economic globalization; Industrial organization; Regional science; Operations management; Economics; Engineering; Geography; Market economy","score_opus":0.07213508715374921,"score_gpt":0.2961596233590998,"score_spread":0.22402453620535057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8907871,0.011965715,0.0920348,0.00028860348,0.004406387,0.0001526099,0.000012109764,0.00002236091,0.00033027236],"genre_scores_gemma":[0.9905681,0.0007382352,0.007850781,0.000009735147,0.0008053431,0.0000017994673,0.000002889026,0.000018666344,0.000004440216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981373,0.000022866965,0.0011844783,0.00030586225,0.00013763068,0.00021184798],"domain_scores_gemma":[0.99807316,0.0005536737,0.00091910496,0.00012388446,0.00021959268,0.00011061289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015169414,0.00022129234,0.00082896714,0.00061240094,0.00024693456,0.00053910725,0.00012529714,0.00030806215,0.0000054370234],"category_scores_gemma":[0.00022093471,0.00021096639,0.0001764613,0.00043237925,0.000052199874,0.0004678888,0.00007727922,0.00039954518,4.6708215e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022662241,0.000056325287,0.0016525176,0.00018921106,0.0006527239,0.0000056665763,0.0012149438,0.000073000236,0.00001590777,0.99209046,0.000017972648,0.0040085884],"study_design_scores_gemma":[0.0012380199,0.00016934605,0.0023587833,0.000302284,0.0004137495,0.00003354484,0.0007539849,0.081490815,0.000021609685,0.9124945,0.00048020636,0.00024319712],"about_ca_topic_score_codex":0.000009312082,"about_ca_topic_score_gemma":0.000001315343,"teacher_disagreement_score":0.09978097,"about_ca_system_score_codex":0.00009383153,"about_ca_system_score_gemma":0.00007846606,"threshold_uncertainty_score":0.860296},"labels":[],"label_agreement":null},{"id":"W4406203411","doi":"10.61091/jcmcc123-05","title":"A Comprehensive Review of Graph Theory Applications in Secret Sharing Schemes","year":2024,"lang":"en","type":"review","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Secret sharing; Cryptography; Graph; Intersection (aeronautics); Theoretical computer science; Graph theory; Key (lock); Computer security; Data science; Mathematics","score_opus":0.025182714652100903,"score_gpt":0.3130477818432183,"score_spread":0.2878650671911174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203411","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000746791,0.97816706,0.01798223,0.000049333357,0.0024849577,0.0010236809,0.000005843247,0.00006723769,0.00014495583],"genre_scores_gemma":[0.00068856817,0.99178225,0.0071137385,0.000016744068,0.00030640207,0.000040668492,0.0000046736704,0.0000446818,0.0000022455235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956375,0.00020471879,0.002751629,0.00050506345,0.00056166557,0.00033944825],"domain_scores_gemma":[0.9945942,0.0012054532,0.0026019863,0.0008891046,0.00057623826,0.00013302763],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025508841,0.00055059016,0.0031687713,0.0008303457,0.00013766452,0.00014919307,0.002221936,0.00046307192,0.0000023344044],"category_scores_gemma":[0.00023049061,0.00043735464,0.0006886617,0.0018901569,0.0001722225,0.00015672782,0.0012668835,0.0014835672,0.0000027952506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015926281,0.0002448499,8.862801e-7,0.08338928,0.00017351187,0.000011039995,0.00016298346,2.0175077e-7,5.8270695e-7,0.8500247,0.00006436416,0.065925986],"study_design_scores_gemma":[0.0004277512,0.00012987047,2.5639685e-7,0.0791568,0.0005485152,0.00014123024,0.00004577185,0.00029512486,0.0000044410217,0.73771554,0.18121584,0.00031883342],"about_ca_topic_score_codex":0.0000024549058,"about_ca_topic_score_gemma":7.662927e-8,"teacher_disagreement_score":0.18115146,"about_ca_system_score_codex":0.00010964878,"about_ca_system_score_gemma":0.000369377,"threshold_uncertainty_score":0.99980783},"labels":[],"label_agreement":null},{"id":"W4406203416","doi":"10.61091/jcmcc123-07","title":"The Effect of Static Versus Dynamic Stretching on Athlete Agility – A Systematic Review and Meta-Analysis","year":2024,"lang":"en","type":"review","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sports injuries and prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Static stretching; Inclusion and exclusion criteria; Randomized controlled trial; Psychological intervention; Web of science; Athletes; Psychology; Physical therapy; Medicine; Physical medicine and rehabilitation; Surgery; Internal medicine; Alternative medicine; Pathology","score_opus":0.03201458160190028,"score_gpt":0.36358192465576683,"score_spread":0.33156734305386654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203416","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00054191414,0.9930278,0.000028414222,0.000072867355,0.003983114,0.002228431,0.00001614171,0.00001686342,0.00008443054],"genre_scores_gemma":[0.008421502,0.9911182,0.00013210926,0.000009723332,0.00019394408,0.00002447747,0.000009045211,0.00006364099,0.000027387496],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9942476,0.0007918428,0.0033797722,0.00033267762,0.0009711089,0.0002769968],"domain_scores_gemma":[0.9896985,0.005032816,0.00414619,0.0006181878,0.00032505143,0.00017922938],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007364887,0.0006670346,0.010975396,0.0003558343,0.0002097814,0.00017823839,0.00031974493,0.00024112056,0.000007034094],"category_scores_gemma":[0.0016582988,0.0003315307,0.0035159225,0.00072684226,0.00011998953,0.00007011917,0.00020323922,0.001074391,0.000001478013],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010328933,0.0000981054,2.6850117e-7,0.86506414,0.10974919,0.000033933466,0.00010110299,6.2540124e-7,7.003447e-8,0.022636844,0.000055953467,0.0021564811],"study_design_scores_gemma":[0.0012029259,0.002598876,1.7720846e-7,0.10721082,0.87860185,0.00011446856,0.000037687267,0.00018923273,6.992923e-7,0.008089257,0.0017144369,0.00023958375],"about_ca_topic_score_codex":0.0000044310427,"about_ca_topic_score_gemma":4.1319063e-7,"teacher_disagreement_score":0.76885265,"about_ca_system_score_codex":0.00014686015,"about_ca_system_score_gemma":0.00016801189,"threshold_uncertainty_score":0.9999137},"labels":[],"label_agreement":null},{"id":"W4406203417","doi":"10.61091/jcmcc123-23","title":"Research on Network Security Threat Identification and Defence Strategies Based on Big Data Models","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer security; Computer science; Identification (biology); Security domain; Security controls; Control (management); Artificial intelligence","score_opus":0.08214186026233244,"score_gpt":0.3308108236793108,"score_spread":0.24866896341697836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203417","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3425155,0.0027097454,0.58686686,0.001309199,0.062325608,0.0007356601,0.000008004701,0.00025458637,0.0032748382],"genre_scores_gemma":[0.9949303,0.0001725331,0.001982047,0.00003015183,0.0028582986,0.0000019672648,0.0000018333714,0.000020404632,0.0000024443011],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967417,0.00034644324,0.00082082883,0.0005107,0.0011968211,0.0003834821],"domain_scores_gemma":[0.9962268,0.002046183,0.00036675212,0.00073568703,0.00045007962,0.00017448496],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0058199405,0.0002424863,0.00042592664,0.0003629806,0.00057912956,0.0020399545,0.0011324624,0.00017963826,0.0000014630256],"category_scores_gemma":[0.00018260101,0.0002072724,0.00007698771,0.0008859658,0.00012434121,0.00097521377,0.000640578,0.0010768642,0.000003676752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059235885,0.0002087905,0.0000031771576,0.00016434188,0.000030288811,0.000027414388,0.00058900344,0.0033672529,0.000033048917,0.9847776,0.00096666696,0.009773151],"study_design_scores_gemma":[0.00042550414,0.00055141683,0.000010657916,0.00057590025,0.000013962573,0.00001819887,0.00008705112,0.47472015,0.00006901051,0.5229911,0.00042607143,0.00011096109],"about_ca_topic_score_codex":0.00001528089,"about_ca_topic_score_gemma":0.0000015358044,"teacher_disagreement_score":0.6524148,"about_ca_system_score_codex":0.00008434088,"about_ca_system_score_gemma":0.0003024944,"threshold_uncertainty_score":0.998996},"labels":[],"label_agreement":null},{"id":"W4406203418","doi":"10.61091/jcmcc123-42","title":"Saturation of \\(K_{4}\\) Subdivisions in Multidimensional Grids","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Bipartite graph; Mathematics; Graph; Complete bipartite graph; Induced subgraph; Discrete mathematics; Vertex (graph theory)","score_opus":0.017579574090746362,"score_gpt":0.30022087855568325,"score_spread":0.2826413044649369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8434771,0.0012184206,0.1389655,0.00032835096,0.015332677,0.00028659732,0.0000020482933,0.00005709545,0.0003322584],"genre_scores_gemma":[0.9702939,0.0000509992,0.029250799,0.0000073718957,0.00037325494,0.00000112675,5.711536e-7,0.000018052779,0.000003935778],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972585,0.0001724311,0.0011493335,0.0002505703,0.0008693984,0.00029978398],"domain_scores_gemma":[0.99692214,0.0017358001,0.00044406543,0.00027817613,0.00047632563,0.00014350587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025814294,0.00020639223,0.00056797074,0.0006118487,0.00011293459,0.0001883528,0.0006054477,0.00012349381,0.0000032988835],"category_scores_gemma":[0.000590946,0.00017502476,0.00016503058,0.0009538023,0.000102400925,0.00062202074,0.00040767464,0.0006289358,0.0000020721561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033264343,0.00026764558,0.00013758588,0.00017199115,0.00003861771,0.000060543436,0.0012007679,0.00012732294,0.002525221,0.99175906,0.0000617161,0.003616233],"study_design_scores_gemma":[0.0016395726,0.0005298567,0.00034796813,0.0008254663,0.000016713264,0.0001147111,0.00011535206,0.09125291,0.001929272,0.90273166,0.00030849242,0.00018801374],"about_ca_topic_score_codex":0.0000052119544,"about_ca_topic_score_gemma":3.6082366e-7,"teacher_disagreement_score":0.12681684,"about_ca_system_score_codex":0.00008702124,"about_ca_system_score_gemma":0.00023979867,"threshold_uncertainty_score":0.7137302},"labels":[],"label_agreement":null},{"id":"W4406203419","doi":"10.61091/jcmcc123-41","title":"Preservers of Graph and Digraph Cordiality","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Digraph; Undirected graph; Mathematics; Edge-graceful labeling; Vertex (graph theory); Graph; Hypercube graph; Discrete mathematics; Neighbourhood (mathematics); Line graph; Graph power","score_opus":0.014820561329031274,"score_gpt":0.25025387410796,"score_spread":0.23543331277892873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9492801,0.0044765477,0.025729405,0.00037802517,0.019250367,0.00022537424,0.0000023854004,0.000105331885,0.000552471],"genre_scores_gemma":[0.9893774,0.00015030333,0.010306146,0.000013490009,0.00013259878,6.9230515e-7,2.875183e-7,0.00001581635,0.0000033062765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976836,0.0001129685,0.0010535883,0.00026529928,0.00062925974,0.00025527488],"domain_scores_gemma":[0.9976863,0.00080479006,0.00058004656,0.0002985172,0.00042863213,0.00020167771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021656577,0.0002276879,0.0006341321,0.00036948544,0.0001592853,0.00039732066,0.00052516075,0.00012568451,0.0000015409505],"category_scores_gemma":[0.00026172612,0.00018811162,0.00020250086,0.00064356654,0.00013739573,0.00042726504,0.00038302806,0.00038092778,5.6111463e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017489063,0.00017257278,0.00017814948,0.00041228824,0.000114809285,0.00002266149,0.0010697696,0.0000137000425,0.0007673091,0.99476355,0.00024323352,0.002224479],"study_design_scores_gemma":[0.0013746432,0.00060293335,0.00012107865,0.0006448313,0.00007100603,0.00011092018,0.000087491615,0.013190147,0.0009666648,0.98231614,0.0003170817,0.00019708312],"about_ca_topic_score_codex":0.000019712561,"about_ca_topic_score_gemma":1.8933505e-7,"teacher_disagreement_score":0.040097266,"about_ca_system_score_codex":0.000018238587,"about_ca_system_score_gemma":0.00012814539,"threshold_uncertainty_score":0.7670969},"labels":[],"label_agreement":null},{"id":"W4406203420","doi":"10.61091/jcmcc123-14","title":"Analyzing Pathway Energy And Time Complexity In Flower Families Through Vertex-Disjoint Paths","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disjoint sets; Computer science; Vertex (graph theory); Computational complexity theory; Graph; Theoretical computer science; Graph theory; Strongly connected component; Connected component; Algorithm; Combinatorics; Mathematics; Artificial intelligence","score_opus":0.014991935884693207,"score_gpt":0.25696939469507823,"score_spread":0.24197745881038502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94735307,0.0022741233,0.03795326,0.00015346089,0.005935566,0.00026127024,0.000010881138,0.00011941681,0.0059389784],"genre_scores_gemma":[0.99435353,0.00006409357,0.004398513,0.000011046606,0.0011156417,0.0000027262363,0.0000051008287,0.000037406437,0.000011936915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974896,0.00014829404,0.0012321485,0.00032423486,0.00042651335,0.00037920935],"domain_scores_gemma":[0.9982286,0.00071038975,0.00047179725,0.00023212323,0.00021860813,0.00013850126],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011612963,0.00036904853,0.0010137291,0.00031527202,0.00019683853,0.0004376528,0.00024550798,0.00010428382,0.000042293796],"category_scores_gemma":[0.00005202199,0.00032808396,0.00026513383,0.0005586142,0.00014361757,0.00033626187,0.0003295456,0.00048262777,0.0000018692075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028259645,0.00030316337,0.000543624,0.00009804817,0.0002178191,0.00004022386,0.0011755603,0.000024148725,0.00044743877,0.9882047,0.00036448974,0.008552492],"study_design_scores_gemma":[0.0012442954,0.00023497718,0.00007483285,0.000809501,0.00012031226,0.000030405005,0.00033724116,0.055480067,0.00052446354,0.93873113,0.002052998,0.00035979538],"about_ca_topic_score_codex":0.000121842844,"about_ca_topic_score_gemma":0.0000030919587,"teacher_disagreement_score":0.05545592,"about_ca_system_score_codex":0.00008315088,"about_ca_system_score_gemma":0.00012202095,"threshold_uncertainty_score":0.99991715},"labels":[],"label_agreement":null},{"id":"W4406203422","doi":"10.61091/jcmcc123-26","title":"Coloring of n-Inordinate Invariant Intersection Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Intersection graph; Mathematics; Graph coloring; Discrete mathematics; Invariant (physics); Intersection theory; Line graph; Graph","score_opus":0.014560823444124833,"score_gpt":0.24280052162550597,"score_spread":0.22823969818138115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8871583,0.0014654675,0.06970142,0.00025692317,0.04019981,0.00021370298,0.0000010100513,0.00014065155,0.0008627233],"genre_scores_gemma":[0.9875268,0.000043661217,0.012227821,0.000012053492,0.00016400403,0.0000010135163,2.7096587e-7,0.000019909976,0.0000044630733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99755245,0.00010165621,0.0012130886,0.0002576844,0.0006029374,0.00027219392],"domain_scores_gemma":[0.99772584,0.0006117173,0.0007020046,0.00027302196,0.0005305192,0.000156863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022629956,0.00023395734,0.0006115878,0.0005321357,0.00015985673,0.00039483776,0.0005892586,0.00013065439,0.0000023138866],"category_scores_gemma":[0.0002445618,0.00019777447,0.00023778736,0.0008029402,0.00008920007,0.00049332407,0.0003488116,0.00047250427,0.0000019857903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020163629,0.00018927579,0.000033185504,0.0003139244,0.00011907681,0.000056229183,0.0014755303,0.00005307269,0.003055762,0.99202454,0.00014533699,0.0025138995],"study_design_scores_gemma":[0.0012912063,0.0008249545,0.000024363515,0.0010591267,0.00006583431,0.00029872457,0.00014396568,0.042997885,0.004914168,0.94796026,0.00021517277,0.0002043551],"about_ca_topic_score_codex":0.000012736767,"about_ca_topic_score_gemma":1.8412993e-7,"teacher_disagreement_score":0.10036851,"about_ca_system_score_codex":0.000053564036,"about_ca_system_score_gemma":0.00016398524,"threshold_uncertainty_score":0.80650085},"labels":[],"label_agreement":null},{"id":"W4406203423","doi":"10.61091/jcmcc123-03","title":"Intercultural Communicative Competence and Its Cultivation Based on Machine Learning","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Language, Communication, and Linguistic Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intercultural communication; Communicative competence; Competence (human resources); German; Communication studies; Cross-cultural communication; Process (computing); Computer science; China; Psychology; Knowledge management; Sociology; Political science; Linguistics; Pedagogy; Communication; Social psychology; Social science","score_opus":0.025685989558466193,"score_gpt":0.31811515065687573,"score_spread":0.29242916109840955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9308739,0.014305353,0.0025955627,0.0036256341,0.020675246,0.00083334604,0.000008196038,0.00028477047,0.026797997],"genre_scores_gemma":[0.99716324,0.0005338761,0.0013352936,0.00003290535,0.0008894972,0.0000017115436,0.0000023084333,0.000017007998,0.000024161498],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99812275,0.00041309334,0.0005853724,0.00015159043,0.0005166434,0.0002105683],"domain_scores_gemma":[0.9959273,0.0028221128,0.0004228683,0.00014391016,0.0005636676,0.000120143646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002258118,0.00018608762,0.00041517275,0.00014651574,0.0009448888,0.00035376468,0.00037599678,0.000097741126,0.000009473189],"category_scores_gemma":[0.0027721908,0.00014853332,0.000091223694,0.00027898105,0.00019458521,0.00015332442,0.0001730014,0.00065159326,0.000002022204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038776307,0.00015057116,0.0001650222,0.00012333141,0.00007000672,0.000009172458,0.0375061,0.000028420129,0.00007774736,0.96007687,0.000052441028,0.0017015666],"study_design_scores_gemma":[0.0064621614,0.002389056,0.0006786522,0.0064384127,0.00042969294,0.000059672788,0.04606034,0.3044241,0.00039602176,0.58668464,0.044798125,0.0011791445],"about_ca_topic_score_codex":0.00008970246,"about_ca_topic_score_gemma":0.0000065784006,"teacher_disagreement_score":0.37339222,"about_ca_system_score_codex":0.000112779126,"about_ca_system_score_gemma":0.00013086956,"threshold_uncertainty_score":0.7267416},"labels":[],"label_agreement":null},{"id":"W4406203424","doi":"10.61091/jcmcc123-22","title":"Data-driven Studies on Automation and Operational Monitoring of Fine Chemical Processes","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Maintainability; Process (computing); Fuzzy logic; Reliability (semiconductor); Automation; Computer science; Reliability engineering; Inference; Automotive industry; Fuzzy inference; Engineering; Systems engineering; Fuzzy control system; Adaptive neuro fuzzy inference system; Artificial intelligence","score_opus":0.025106307422759277,"score_gpt":0.28754473106550027,"score_spread":0.262438423642741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98014945,0.003252239,0.0010401428,0.000057531346,0.015155886,0.00014178414,0.000007790496,0.00008984022,0.00010534625],"genre_scores_gemma":[0.9969664,0.00011328393,0.0014040337,0.0000016068554,0.0014872453,0.0000017208139,0.0000016277917,0.000022304495,0.0000017391632],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855936,0.000028238223,0.0007843369,0.00013273366,0.00037776085,0.00011759329],"domain_scores_gemma":[0.9987156,0.0006130871,0.00019942388,0.00012918752,0.00027618004,0.000066545574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000644046,0.00016639414,0.00046614694,0.00014100118,0.0000704951,0.00015153442,0.000172758,0.0000816273,9.961208e-7],"category_scores_gemma":[0.00046061238,0.00013855706,0.000041459898,0.00019814483,0.000042089596,0.00023569747,0.000084272244,0.00024763093,7.731276e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029644504,0.00087989983,0.0004888036,0.022757517,0.0033749603,0.00010502671,0.01485013,0.015867231,0.058261678,0.85538054,0.0020674411,0.025670363],"study_design_scores_gemma":[0.003134136,0.0007051542,0.000048266065,0.004566964,0.00022635442,0.00020386437,0.0012598974,0.90641177,0.017603135,0.06460082,0.000821818,0.00041782006],"about_ca_topic_score_codex":7.917232e-7,"about_ca_topic_score_gemma":1.2105501e-7,"teacher_disagreement_score":0.89054453,"about_ca_system_score_codex":0.00005171169,"about_ca_system_score_gemma":0.000061999024,"threshold_uncertainty_score":0.5650193},"labels":[],"label_agreement":null},{"id":"W4406203428","doi":"10.61091/jcmcc123-36","title":"Application of Blockchain Technology in Teaching Evaluation in Applied Technology Universities","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Engineering management; Computer science; Mathematics education; Engineering ethics; Engineering; Computer security; Psychology","score_opus":0.013655120352101337,"score_gpt":0.3170301882647946,"score_spread":0.3033750679126933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994339,0.0009840857,0.0015859077,0.0005686914,0.0009879433,0.00045587157,5.7931663e-7,0.00002291003,0.0010550325],"genre_scores_gemma":[0.99784636,0.000026822945,0.0019433378,0.0000036643162,0.00015718387,0.000005203716,0.0000012757781,0.000013331785,0.0000028356876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982139,0.000060522023,0.00072922045,0.00015782294,0.0006263615,0.00021219715],"domain_scores_gemma":[0.9989205,0.0003839785,0.0002656606,0.0001378055,0.00020991899,0.00008213068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023049293,0.00013150736,0.0005545287,0.0014375575,0.00004464249,0.000021038431,0.00014198643,0.0002132317,0.0000036101715],"category_scores_gemma":[0.00055908406,0.000112883026,0.00005575626,0.00080472196,0.00011080723,0.00003666516,0.00010021656,0.0007374498,9.606374e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014285537,0.00068190024,0.0015388755,0.00046963547,0.000087230634,0.000086846914,0.00073272845,0.000027830984,0.002844104,0.9543208,0.000009826008,0.03905739],"study_design_scores_gemma":[0.007617238,0.00097628345,0.0002554398,0.0016730565,0.00012265508,0.00011400145,0.0025794106,0.061469346,0.0019196096,0.92300797,0.00014786153,0.00011710766],"about_ca_topic_score_codex":0.000014320031,"about_ca_topic_score_gemma":7.76915e-7,"teacher_disagreement_score":0.061441515,"about_ca_system_score_codex":0.00031128744,"about_ca_system_score_gemma":0.00043327102,"threshold_uncertainty_score":0.46032363},"labels":[],"label_agreement":null},{"id":"W4406203433","doi":"10.61091/jcmcc123-39","title":"A Computer Vision-Based Multidimensional Data Modelling Study of the Psychological Responses of Metro Car Colour Lighting Design on Passengers","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Computer vision; Human–computer interaction; Transport engineering; Psychology; Engineering","score_opus":0.09701650613294986,"score_gpt":0.37098615440377997,"score_spread":0.2739696482708301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9462026,0.00015409231,0.03741814,0.000120153825,0.015405751,0.0005759172,0.0000071776158,0.00003193551,0.00008424627],"genre_scores_gemma":[0.99002355,0.0000035636724,0.009215565,0.00003065223,0.0006819606,0.0000026736784,0.0000010189092,0.00003583577,0.000005165443],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99563503,0.0011026346,0.0015823063,0.00042217187,0.0009799007,0.0002779368],"domain_scores_gemma":[0.99201804,0.005673803,0.0010401706,0.0006834966,0.0004588635,0.00012560483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043508066,0.0003049569,0.00087177363,0.000343983,0.00022063505,0.000099405486,0.00076276733,0.00020567667,0.000035512352],"category_scores_gemma":[0.00037701466,0.00020658298,0.00022672428,0.0005301268,0.00013464989,0.00009861142,0.00029983738,0.0007149656,0.0000030363824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01935323,0.049339935,0.0017645909,0.0013259028,0.0033571087,0.00084195414,0.0410036,0.07985665,0.013023695,0.7632119,0.011891793,0.0150296325],"study_design_scores_gemma":[0.012890405,0.018220035,0.0013657133,0.0019755708,0.0005914406,0.00012532544,0.004037349,0.9233269,0.0005637259,0.03606268,0.00026792588,0.0005728973],"about_ca_topic_score_codex":0.000016796299,"about_ca_topic_score_gemma":4.2264261e-7,"teacher_disagreement_score":0.8434703,"about_ca_system_score_codex":0.00006522528,"about_ca_system_score_gemma":0.0001554872,"threshold_uncertainty_score":0.8424209},"labels":[],"label_agreement":null},{"id":"W4406203435","doi":"10.61091/jcmcc123-27","title":"\\(e\\)-Injective Coloring: \\(2\\)-Distance and Injective Coloring Conjectures","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Injective function; Mathematics; Combinatorics","score_opus":0.012344975368720167,"score_gpt":0.2500954849705769,"score_spread":0.2377505096018567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8496498,0.007132078,0.10435769,0.0006259244,0.03597357,0.0005422333,0.0000034412524,0.00033238725,0.0013828631],"genre_scores_gemma":[0.98731065,0.00010654179,0.012105278,0.000038703118,0.00039428423,0.0000033329345,3.2812164e-7,0.000032756376,0.0000081335165],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972294,0.00013985831,0.0010295341,0.00046901917,0.0007003922,0.0004318006],"domain_scores_gemma":[0.9967993,0.0014469547,0.00058735546,0.00028864876,0.0006037451,0.0002739883],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0019590745,0.00037790695,0.00077635306,0.00040267434,0.0004172144,0.001062842,0.00056524493,0.0001854981,0.0000018414642],"category_scores_gemma":[0.00046776028,0.00032286954,0.00016805831,0.00071706343,0.00017817706,0.0006122479,0.00049875444,0.0007631115,0.0000023199777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041560626,0.00015484651,0.000059886093,0.00023981782,0.00016100869,0.00008986186,0.003595397,0.00008388097,0.00074952433,0.9917867,0.00017721544,0.0028602665],"study_design_scores_gemma":[0.0015282413,0.0010977144,0.000055579414,0.00086951215,0.0000833442,0.00039039334,0.0004033797,0.03856343,0.0018217564,0.95392275,0.0008851991,0.00037870154],"about_ca_topic_score_codex":0.000014411744,"about_ca_topic_score_gemma":5.062432e-7,"teacher_disagreement_score":0.13766083,"about_ca_system_score_codex":0.00011821589,"about_ca_system_score_gemma":0.0002461192,"threshold_uncertainty_score":0.99997413},"labels":[],"label_agreement":null},{"id":"W4406203437","doi":"10.61091/jcmcc123-04","title":"Analysis of Agricultural Marketing Data Flow and Optimisation Methods in Cross-Border E-Commerce Platforms","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Jiangxi Province","keywords":"E-commerce; Agriculture; Business; Marketing; Flow (mathematics); Computer science; Geography; Mathematics; World Wide Web","score_opus":0.028022746940036695,"score_gpt":0.35490494742953577,"score_spread":0.32688220048949906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98852843,0.00044661041,0.006060334,0.00033669733,0.0036756315,0.00015530422,0.0000040123755,0.00004523235,0.00074774225],"genre_scores_gemma":[0.97858286,0.00003511086,0.020590888,0.000034893586,0.0007047635,0.0000011948825,0.000024055616,0.000020523958,0.0000057006637],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978825,0.000031829502,0.0012625623,0.00025631665,0.00033783552,0.00022897369],"domain_scores_gemma":[0.99772835,0.00088345906,0.00064206833,0.0002873393,0.000437656,0.000021133965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046055554,0.0002231765,0.0007516361,0.0010850363,0.000167477,0.00050613325,0.00041201155,0.00018447441,0.000019659414],"category_scores_gemma":[0.0011003468,0.00017793581,0.00011532752,0.0021602672,0.00013803077,0.0011434802,0.0006055031,0.00051276234,7.5463277e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008079191,0.00040716198,0.014058562,0.0010663085,0.0012231054,0.000016611408,0.0006395634,0.0011972899,0.000769284,0.95226264,0.0001862889,0.02809242],"study_design_scores_gemma":[0.0037129151,0.00012537824,0.052958693,0.0013353612,0.0023010427,0.000061280996,0.002330589,0.73787385,0.00013987753,0.19693679,0.0015389972,0.00068525213],"about_ca_topic_score_codex":0.000059638263,"about_ca_topic_score_gemma":0.000006628728,"teacher_disagreement_score":0.75532585,"about_ca_system_score_codex":0.00003667234,"about_ca_system_score_gemma":0.000037927133,"threshold_uncertainty_score":0.7256012},"labels":[],"label_agreement":null},{"id":"W4406203438","doi":"10.61091/jcmcc123-37","title":"Grand Motzkin Paths and \\(\\{0,1,2\\}\\)-Trees -- A Simple Bijection","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Combinatorial Mathematics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bijection; Simple (philosophy); Combinatorics; Computer science; Mathematics; Philosophy; Epistemology","score_opus":0.021257291112516733,"score_gpt":0.29617905175351017,"score_spread":0.27492176064099344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9402093,0.0026107135,0.030483125,0.00024670668,0.024202386,0.00076152274,0.000008886365,0.00033503954,0.0011422819],"genre_scores_gemma":[0.979279,0.00021314234,0.017999664,0.00001574222,0.0023231553,0.0000064613823,0.0000015045612,0.00013746656,0.00002390801],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99577194,0.00018704872,0.0019417305,0.0004689455,0.0010518435,0.00057849806],"domain_scores_gemma":[0.99407303,0.003527126,0.00103792,0.00041843124,0.000578903,0.00036456616],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026366028,0.000618318,0.0013822456,0.0005266036,0.00039884183,0.00069710996,0.00043051198,0.00033669246,0.000014426323],"category_scores_gemma":[0.00214298,0.0005318645,0.00031285928,0.00067294046,0.00021238801,0.0006088544,0.0003818987,0.0009542508,0.000004373659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007843722,0.0004487457,0.000042256353,0.0011736219,0.00024819598,0.00010785367,0.0024426314,0.000006907764,0.00107301,0.989778,0.0008186026,0.0037817524],"study_design_scores_gemma":[0.0028833707,0.0009225485,0.00002233667,0.0011481271,0.00034883374,0.0006221761,0.000585937,0.008733756,0.00066047406,0.9811741,0.0023705114,0.0005277909],"about_ca_topic_score_codex":0.000007345991,"about_ca_topic_score_gemma":0.0000011911808,"teacher_disagreement_score":0.039069615,"about_ca_system_score_codex":0.00016938034,"about_ca_system_score_gemma":0.00018570498,"threshold_uncertainty_score":0.9997133},"labels":[],"label_agreement":null},{"id":"W4406203439","doi":"10.61091/jcmcc123-18","title":"Pricing Design and Risk Assessment of Financial Products Based on Artificial Intelligence Models","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial modeling; Financial risk; Risk assessment; Computer science; Risk analysis (engineering); Business; Artificial intelligence; Finance; Computer security","score_opus":0.10465575376656058,"score_gpt":0.3600567010987185,"score_spread":0.2554009473321579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203439","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37259528,0.00028122897,0.61620045,0.00029500257,0.010123738,0.0002810593,0.000007476784,0.000019381483,0.00019638683],"genre_scores_gemma":[0.97355366,0.00012964942,0.025398843,0.000019654644,0.0008778897,8.3533513e-7,6.1396105e-7,0.00001717012,0.0000016697467],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959234,0.00027258063,0.0015712498,0.00032663872,0.0016460747,0.00026003632],"domain_scores_gemma":[0.99332356,0.004295148,0.001084365,0.00028189353,0.0008714352,0.00014357104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00994217,0.00025070566,0.00077114394,0.0003413199,0.00029208034,0.00078162225,0.00044006723,0.00014947283,0.0000059563095],"category_scores_gemma":[0.0040716548,0.00017368683,0.00016660203,0.0007943837,0.00013728788,0.00046257765,0.00015877504,0.0005399099,8.2569227e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014548369,0.00063628523,0.00011313872,0.00024526048,0.000057897927,0.000026859758,0.0014033222,0.008352348,0.00028486023,0.9216831,0.00031150447,0.06673999],"study_design_scores_gemma":[0.00029014252,0.00068001915,0.00012735494,0.00034578974,0.00005419523,0.00001149231,0.0001558533,0.4524383,0.0006079705,0.545068,0.000098266864,0.0001225846],"about_ca_topic_score_codex":0.000007867166,"about_ca_topic_score_gemma":8.467733e-8,"teacher_disagreement_score":0.6009584,"about_ca_system_score_codex":0.000054958546,"about_ca_system_score_gemma":0.00057510735,"threshold_uncertainty_score":0.7537201},"labels":[],"label_agreement":null},{"id":"W4406203441","doi":"10.61091/jcmcc123-11","title":"The Driving Mechanism and Computational Analysis of Digital Transformation in the Transformation of Traditional Industrial Spatial Structure in the Yangtze River Delta Economic Belt","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Yangtze river; Delta; Transformation (genetics); Mechanism (biology); River delta; Environmental science; Economic geography; Geography; Engineering; China; Aerospace engineering; Chemistry; Physics","score_opus":0.02349634405674549,"score_gpt":0.26054444232281343,"score_spread":0.23704809826606793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940324,0.00007673454,0.0017025811,0.0012400565,0.0022994555,0.00027436277,0.000025418158,0.0000047675767,0.00034421385],"genre_scores_gemma":[0.99940133,0.00005128739,0.00010899439,0.000008479924,0.00040379507,0.0000020569596,0.0000169031,0.0000066354196,5.45148e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997662,0.00026896253,0.0011348581,0.000108788314,0.0006517496,0.00017363568],"domain_scores_gemma":[0.9963631,0.0028666868,0.0005542489,0.00007215898,0.00010463758,0.000039159513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003398845,0.00014111711,0.0004055567,0.00032163874,0.0003229926,0.0003492795,0.00038065406,0.00013303082,0.000004793032],"category_scores_gemma":[0.000143975,0.00009095275,0.00016404716,0.0004908792,0.00026169018,0.00050097704,0.00002381045,0.00037939142,1.2544298e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030931886,0.00007810595,0.00053918903,0.000028251738,0.00019273881,0.0000017308969,0.06015758,0.0008877189,0.000003963153,0.934872,0.00002116232,0.0031866797],"study_design_scores_gemma":[0.0016970786,0.0001557264,0.004638781,0.0001508442,0.00023090321,0.000014173374,0.0113957245,0.035685696,0.000010774684,0.94562864,0.00026017384,0.00013148486],"about_ca_topic_score_codex":0.00015298856,"about_ca_topic_score_gemma":0.00009998269,"teacher_disagreement_score":0.048761852,"about_ca_system_score_codex":0.0001474116,"about_ca_system_score_gemma":0.00030602608,"threshold_uncertainty_score":0.37089455},"labels":[],"label_agreement":null},{"id":"W4406203446","doi":"10.61091/jcmcc123-19","title":"On Radenković and Gutman Conjecture for certain Classes of Trees","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Conjecture; Mathematics; Arithmetic; Psychology; Discrete mathematics","score_opus":0.023286780570048404,"score_gpt":0.30488599429151464,"score_spread":0.28159921372146623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864772,0.00063912704,0.006954644,0.00036417457,0.004586188,0.000490374,0.000013130765,0.000048170845,0.00042702255],"genre_scores_gemma":[0.9933955,0.00003186747,0.0058206874,0.000011704469,0.0006792101,0.000005303376,0.0000011071407,0.00004048291,0.000014144394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982075,0.00008082459,0.00094898837,0.00019954311,0.0003465984,0.00021652714],"domain_scores_gemma":[0.9935162,0.0053095724,0.0006143717,0.00019538657,0.0002444371,0.000120054974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013979065,0.0002527785,0.0007209281,0.00023274988,0.00018847929,0.00015925395,0.0002310027,0.00016359585,0.0000050475087],"category_scores_gemma":[0.0008580594,0.0002009831,0.00021836882,0.00023174738,0.0001296216,0.00010569398,0.000076501026,0.00034768053,4.1395862e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008961128,0.00032558327,0.000017468734,0.0008792088,0.00016346983,0.0000059760146,0.001079715,0.000005551879,0.0009976644,0.99457675,0.0009163862,0.000942633],"study_design_scores_gemma":[0.0019619016,0.0010476742,0.000016773907,0.0008893368,0.00021922115,0.000074294505,0.0003441394,0.0019666601,0.0020199658,0.9902828,0.0009874636,0.00018982388],"about_ca_topic_score_codex":0.0000012760161,"about_ca_topic_score_gemma":4.4104624e-7,"teacher_disagreement_score":0.006918324,"about_ca_system_score_codex":0.000029764124,"about_ca_system_score_gemma":0.00008352261,"threshold_uncertainty_score":0.81958526},"labels":[],"label_agreement":null},{"id":"W4406203450","doi":"10.61091/jcmcc123-32","title":"Optimizing Adaptive Particle Swarm for Combined Fire and Storage Control FM Energy Reserve","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Particle swarm optimization; Energy storage; Computer science; Energy (signal processing); Control (management); Swarm behaviour; Environmental science; Physics; Mathematics; Artificial intelligence; Algorithm; Statistics","score_opus":0.01493901925257089,"score_gpt":0.24205993441703388,"score_spread":0.227120915164463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81089526,0.01564519,0.114391044,0.00066193624,0.055250533,0.0007238856,0.000020181886,0.00027193065,0.0021400193],"genre_scores_gemma":[0.99499494,0.00010372303,0.002253011,0.000034277018,0.0024490475,0.000008796445,0.0000022655654,0.000084603154,0.000069357746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99711204,0.00017690267,0.0012873055,0.00035832627,0.00054210686,0.00052331126],"domain_scores_gemma":[0.9966761,0.0016321638,0.00063974736,0.00024595912,0.00047577277,0.0003302855],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016698628,0.00040561473,0.001057215,0.00016468028,0.00037041088,0.0005046655,0.00031470702,0.0002571965,0.0000064816895],"category_scores_gemma":[0.0003084561,0.00033681246,0.0002846071,0.0003065659,0.000112099,0.00032962905,0.00016947665,0.00035158085,8.9545404e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003849729,0.00025714783,0.000011312046,0.00033963926,0.00044686237,0.00007749307,0.0012505741,0.002173299,0.00086130126,0.99076337,0.0004786833,0.0029553238],"study_design_scores_gemma":[0.010253929,0.0026613232,0.000009220943,0.0012518902,0.00034145435,0.00017650699,0.0008573636,0.5177457,0.0026705684,0.44809154,0.01534231,0.0005982412],"about_ca_topic_score_codex":0.0002603855,"about_ca_topic_score_gemma":0.000011115995,"teacher_disagreement_score":0.54267186,"about_ca_system_score_codex":0.00012310676,"about_ca_system_score_gemma":0.00015689823,"threshold_uncertainty_score":0.9999084},"labels":[],"label_agreement":null},{"id":"W4406203452","doi":"10.61091/jcmcc123-34","title":"The Statistics and Combinatorics of Increasing Trees and Colored Increasing Trees","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Combinatorial Mathematics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Colored; Statistics; Mathematics; Combinatorics; Sociology","score_opus":0.01857588249081682,"score_gpt":0.290852699127933,"score_spread":0.27227681663711617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747096,0.0049656346,0.008565159,0.00019616434,0.010397492,0.00064390595,0.000019889418,0.000113755355,0.00038841623],"genre_scores_gemma":[0.96867144,0.0008650837,0.029506097,0.000007804573,0.0008002757,0.00000531486,0.0000016175989,0.00012776234,0.000014598297],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99449944,0.0005634429,0.0026115014,0.00044157612,0.0012459911,0.0006380487],"domain_scores_gemma":[0.97580767,0.020532692,0.0018777767,0.0004757637,0.0009336812,0.00037240415],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006435285,0.00066869525,0.0016701219,0.00037999512,0.0007567992,0.0007820028,0.0005765665,0.00032976232,0.000002904667],"category_scores_gemma":[0.007907646,0.0005125444,0.00020360909,0.0006381178,0.0007109062,0.00045778812,0.00064304844,0.0009810112,7.072432e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002698659,0.0003659798,0.0003431495,0.0012471068,0.00035156708,0.00005805375,0.0023763054,0.000003606627,0.0013419029,0.9897091,0.00022305555,0.0037103249],"study_design_scores_gemma":[0.0030805985,0.0010645333,0.0002158298,0.0017697857,0.00053954177,0.00071934465,0.0013856342,0.007733603,0.0008475417,0.9814635,0.00068431796,0.00049575616],"about_ca_topic_score_codex":0.000028631468,"about_ca_topic_score_gemma":0.0000040461196,"teacher_disagreement_score":0.020940939,"about_ca_system_score_codex":0.00016932804,"about_ca_system_score_gemma":0.00029546,"threshold_uncertainty_score":0.9997326},"labels":[],"label_agreement":null},{"id":"W4406203453","doi":"10.61091/jcmcc123-10","title":"Design and Implementation of Using Lidar as a Safety Behavior Pre Control Device for Power Distribution Operations","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Electrical Fault Detection and Protection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lidar; Power (physics); Computer science; Control (management); Distribution (mathematics); Reliability engineering; Engineering; Remote sensing; Artificial intelligence; Geography; Mathematics; Physics","score_opus":0.012418298903149187,"score_gpt":0.29605484603844473,"score_spread":0.28363654713529557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54289895,0.00034938977,0.4531488,0.000018894278,0.003032612,0.00050369697,0.000008048419,0.000033135126,0.000006425687],"genre_scores_gemma":[0.9941737,0.00003278237,0.0055189114,0.000003321672,0.00023653933,0.000008513896,0.0000023814844,0.00002312357,7.2106985e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987929,0.000059267448,0.00068966206,0.00010031761,0.00021087671,0.0001470066],"domain_scores_gemma":[0.9990326,0.0003994038,0.00014304227,0.000059218837,0.00029009162,0.0000756135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084961025,0.00014424032,0.0003219074,0.00010906177,0.00016864529,0.0001516974,0.000062465246,0.000105856845,0.0000040124883],"category_scores_gemma":[0.000101293124,0.00013534473,0.00008104483,0.00021470156,0.00002115358,0.00018797915,0.00001635916,0.00021978647,2.0682349e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096580357,0.00068486156,0.00016985553,0.0031246804,0.0011846,0.0000270901,0.0063724103,0.036070056,0.15754595,0.735228,0.0001815735,0.058445103],"study_design_scores_gemma":[0.0068154223,0.002544838,0.0001575237,0.0006247497,0.0006867986,0.000295971,0.00047326463,0.8506517,0.042466752,0.09414275,0.00070008036,0.00044013944],"about_ca_topic_score_codex":0.000012001898,"about_ca_topic_score_gemma":3.731869e-7,"teacher_disagreement_score":0.81458163,"about_ca_system_score_codex":0.000108779735,"about_ca_system_score_gemma":0.000079058584,"threshold_uncertainty_score":0.55191976},"labels":[],"label_agreement":null},{"id":"W4406203459","doi":"10.61091/jcmcc123-20","title":"A Complete Characterization of Magic Constants Arising from Distance Magic Graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"MAGIC (telescope); Characterization (materials science); Mathematics; Combinatorics; Physics; Optics; Astrophysics","score_opus":0.014914679630273235,"score_gpt":0.2378625642036119,"score_spread":0.22294788457333867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8064595,0.0013539703,0.16948812,0.00026049317,0.021729182,0.00022827313,0.0000192769,0.00011116393,0.00035000246],"genre_scores_gemma":[0.9858636,0.00008316067,0.013814273,0.00002633449,0.00017690593,4.8452097e-7,0.0000055061323,0.000025866628,0.000003846656],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969982,0.0001322033,0.0014534141,0.00033575905,0.000772691,0.0003077345],"domain_scores_gemma":[0.99717724,0.0006925812,0.0010413306,0.00035595574,0.000555967,0.00017691276],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012706788,0.00029358824,0.0007879441,0.00035564016,0.00015923972,0.0005725457,0.0006506782,0.00013155695,0.0000052536584],"category_scores_gemma":[0.000153663,0.000256005,0.00021492038,0.0007568857,0.00014838857,0.0005193539,0.00027395232,0.00044673964,0.0000041916946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022425937,0.0002076257,0.00010843957,0.00021620962,0.000108394495,0.000046206027,0.001153006,0.000011169446,0.026201729,0.9698267,0.000046762307,0.0020513355],"study_design_scores_gemma":[0.0014971396,0.0003055335,0.00009725616,0.0014219133,0.00007709964,0.00007143844,0.000061029372,0.060898043,0.0015213483,0.9333493,0.00044190197,0.00025799093],"about_ca_topic_score_codex":0.000013993594,"about_ca_topic_score_gemma":1.6427646e-7,"teacher_disagreement_score":0.17940411,"about_ca_system_score_codex":0.000046466164,"about_ca_system_score_gemma":0.00015567985,"threshold_uncertainty_score":0.9999892},"labels":[],"label_agreement":null},{"id":"W4406203460","doi":"10.61091/jcmcc123-30","title":"Applying Big Data Analytics Techniques and Meta-Analysing the Impact of Cross-Border Data Flows on International Trade Competitiveness","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Big data; Analytics; Data science; Data analysis; Computer science; Business; International trade; Data mining","score_opus":0.08511600043907727,"score_gpt":0.37039317354503243,"score_spread":0.28527717310595513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93135744,0.0057434454,0.010858561,0.0028036719,0.033411656,0.002090444,0.0003411663,0.00027796987,0.01311562],"genre_scores_gemma":[0.99546665,0.00006598671,0.0005053359,0.00004092105,0.0038440686,0.0000028489692,0.000034138244,0.000036293182,0.0000037740574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99742913,0.000058666286,0.0010735719,0.0003981711,0.0007852983,0.00025518527],"domain_scores_gemma":[0.9972724,0.0007859597,0.00090297055,0.0007066525,0.00029253657,0.00003948021],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002744581,0.00035130835,0.0009698486,0.00033787676,0.00026815612,0.0015167387,0.00143633,0.000107853506,0.000026143493],"category_scores_gemma":[0.00034450463,0.00022502351,0.00027859845,0.0005850216,0.00016952319,0.0010725091,0.0013423825,0.0004915296,0.0000010438434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022988541,0.0008050925,0.0014362239,0.00088419736,0.007473368,0.00013370557,0.00018540691,0.0005392139,0.00038947453,0.9697293,0.00022744887,0.017966699],"study_design_scores_gemma":[0.005633641,0.00066681986,0.0027155848,0.0021441516,0.016410768,0.0005469146,0.0010517478,0.46113896,0.00050599384,0.40220544,0.10544534,0.0015346128],"about_ca_topic_score_codex":0.000095025294,"about_ca_topic_score_gemma":0.000001860224,"teacher_disagreement_score":0.56752384,"about_ca_system_score_codex":0.00005155091,"about_ca_system_score_gemma":0.0001099372,"threshold_uncertainty_score":0.99951977},"labels":[],"label_agreement":null},{"id":"W4408490908","doi":"10.61091/jcmcc124-02","title":"An analytical study of the role of convolutional neural network-based SHRM perception on the mechanisms of employee proactive behaviour","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Perception; Psychology; Business; Knowledge management; Cognitive psychology; Computer science; Artificial intelligence; Neuroscience","score_opus":0.013489445679723818,"score_gpt":0.25786674038411794,"score_spread":0.24437729470439412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408490908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932672,0.00001381466,0.0015037779,0.00012071821,0.004205771,0.00054796715,0.0000018956683,0.000009811637,0.00032909086],"genre_scores_gemma":[0.999214,4.2857283e-7,0.00014070871,0.00003605916,0.0005887945,0.000003753545,9.0502346e-7,0.000013996071,0.0000013741742],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977568,0.00012778744,0.0010532942,0.00014534773,0.00076062523,0.00015614295],"domain_scores_gemma":[0.99631566,0.0005243225,0.0016126486,0.00027982015,0.0012500017,0.0000175552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013508754,0.00018447266,0.0005279409,0.00019373621,0.00024056132,0.00010733437,0.0004994201,0.00008095891,0.000011694371],"category_scores_gemma":[0.00039340215,0.00012189569,0.00015616106,0.00068590423,0.000117058145,0.00020595403,0.00019063783,0.00030464184,2.053751e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035100713,0.0023553155,0.030285023,0.000099189114,0.00014153279,8.455467e-7,0.0003703965,0.0040682214,0.0007618925,0.9612516,0.00008597779,0.00022900992],"study_design_scores_gemma":[0.0056360145,0.001371759,0.034309972,0.0006749264,0.0007181526,0.0000022906254,0.0066534025,0.1601615,0.001288638,0.78891796,0.000023773435,0.00024161879],"about_ca_topic_score_codex":0.00004157426,"about_ca_topic_score_gemma":0.0000028826082,"teacher_disagreement_score":0.17233364,"about_ca_system_score_codex":0.00005148908,"about_ca_system_score_gemma":0.0001257946,"threshold_uncertainty_score":0.49707618},"labels":[],"label_agreement":null},{"id":"W4408490912","doi":"10.61091/jcmcc124-07","title":"Group Codes over Algebra of Wreath Products","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wreath product; Group (periodic table); Algebra over a field; Group algebra; Mathematics; Pure mathematics; Chemistry; Geometry","score_opus":0.009685897510156652,"score_gpt":0.24366118912376966,"score_spread":0.23397529161361302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408490912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86552155,0.00093358,0.11268863,0.000246881,0.018294113,0.00029789194,0.0000014265686,0.00007425569,0.0019416778],"genre_scores_gemma":[0.98204625,0.000037588707,0.017431675,0.00003449571,0.0004291007,0.0000011515855,3.7894546e-7,0.00001289606,0.000006467803],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99754786,0.00016127151,0.0011506366,0.00027130786,0.00057037774,0.00029857078],"domain_scores_gemma":[0.9968638,0.00084747723,0.0010744516,0.0004718147,0.00063030265,0.00011216455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022246107,0.00026775594,0.00081287033,0.0004314595,0.00022174633,0.0002298922,0.0010614353,0.0001325721,0.0000027124042],"category_scores_gemma":[0.00049284846,0.0002343448,0.0002246086,0.0010052108,0.00013362108,0.00036869955,0.0005213338,0.00038298167,5.2541856e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000628008,0.00057649764,0.00028767958,0.00027694632,0.00014634643,0.000010058307,0.00068695046,0.000004864846,0.00214434,0.9920578,0.0002651144,0.0034805718],"study_design_scores_gemma":[0.0027460111,0.00069891143,0.00034955042,0.00061145006,0.00008739475,0.000035400946,0.000095887524,0.0020779704,0.004977186,0.9873558,0.0007411093,0.00022328914],"about_ca_topic_score_codex":0.0000049469286,"about_ca_topic_score_gemma":1.3619605e-7,"teacher_disagreement_score":0.116524704,"about_ca_system_score_codex":0.00004123219,"about_ca_system_score_gemma":0.00017029389,"threshold_uncertainty_score":0.95563036},"labels":[],"label_agreement":null},{"id":"W4408490933","doi":"10.61091/jcmcc124-09","title":"Research on the innovation of education management mode and personalized development of students based on artificial intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mode (computer interface); Knowledge management; Engineering management; Computer science; Engineering; Engineering ethics; Artificial intelligence; Human–computer interaction","score_opus":0.08030830438015944,"score_gpt":0.41330819935274393,"score_spread":0.3329998949725845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408490933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91560787,0.00006217075,0.07785518,0.0010702113,0.003928253,0.00029858752,3.4330873e-7,0.000009008084,0.0011683761],"genre_scores_gemma":[0.9833076,0.000009722782,0.01653619,0.000045372668,0.00008197925,0.000005066317,4.4081835e-7,0.0000044523044,0.000009198674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99791986,0.00015763739,0.00086734333,0.00015681307,0.00076133315,0.00013700395],"domain_scores_gemma":[0.99698216,0.0012447429,0.00060199114,0.00023878223,0.00090309023,0.000029258075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034733152,0.00011574522,0.0002796051,0.00069292745,0.0002546616,0.00007778448,0.00070051436,0.000086864646,0.0000016214235],"category_scores_gemma":[0.000338242,0.00008947699,0.00003638386,0.0009789418,0.00014483534,0.00006648034,0.00024034113,0.0003501251,4.1822693e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006696883,0.001035172,0.00008661322,0.00014493894,0.00004864494,4.7404302e-7,0.0011353398,0.00004937099,0.00015555945,0.98121655,0.000052635958,0.016007729],"study_design_scores_gemma":[0.00043427458,0.0003565486,0.00045796623,0.0007714891,0.000015245879,0.0000018124657,0.0015229618,0.007560122,0.007860514,0.9808316,0.00011058024,0.00007685334],"about_ca_topic_score_codex":0.0000022408553,"about_ca_topic_score_gemma":1.3141211e-7,"teacher_disagreement_score":0.06769971,"about_ca_system_score_codex":0.00007163344,"about_ca_system_score_gemma":0.00047864037,"threshold_uncertainty_score":0.36487657},"labels":[],"label_agreement":null},{"id":"W4408490937","doi":"10.61091/jcmcc124-04","title":"Accelerated cascade integrator comb filter with a new non-recursive GPU implementation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Integrator; Cascade; Computer science; Filter (signal processing); Parallel computing; CUDA; Computational science; Chemistry; Telecommunications; Computer vision","score_opus":0.0221728178523751,"score_gpt":0.2995941352543385,"score_spread":0.2774213174019634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408490937","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39806563,0.00011869612,0.58866346,0.0007302244,0.009840052,0.0006942922,0.000002786465,0.0000826721,0.0018021504],"genre_scores_gemma":[0.98062164,0.000015156324,0.01875195,0.00013607473,0.0004047038,0.0000035169473,0.000004679186,0.000020323158,0.000041952586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99756855,0.0000859775,0.0010847434,0.00028885415,0.00059956184,0.0003722857],"domain_scores_gemma":[0.9974663,0.00039573267,0.0009429336,0.00026250703,0.0007128781,0.0002196274],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007279486,0.00032897436,0.0006232573,0.00036793214,0.00024975074,0.0009701398,0.000741834,0.00010425249,0.000008451653],"category_scores_gemma":[0.000107106775,0.00026644894,0.00012432151,0.0007934583,0.000049110895,0.0009948236,0.0002836582,0.0004165702,0.000002721661],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013479046,0.00037293494,0.00043566313,0.00011972433,0.00028477315,0.000029163137,0.00317594,0.00001878212,0.0011883355,0.96896046,0.004946548,0.020332895],"study_design_scores_gemma":[0.01908889,0.004173606,0.0009135372,0.0010111557,0.00023212616,0.00018553519,0.002286196,0.010189187,0.03073245,0.92685705,0.0035191549,0.00081108103],"about_ca_topic_score_codex":0.000039613853,"about_ca_topic_score_gemma":0.0000021406088,"teacher_disagreement_score":0.582556,"about_ca_system_score_codex":0.00014093884,"about_ca_system_score_gemma":0.00054814597,"threshold_uncertainty_score":0.9999788},"labels":[],"label_agreement":null},{"id":"W4408490938","doi":"10.61091/jcmcc124-08","title":"A class of constacyclic codes over \\(\\frac{\\mathbb{F}_{p^m}[u, v]}{\\left\\langle u^k, v^2, u v-v u\\right\\rangle}\\)","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Class (philosophy); Combinatorics; Physics; Mathematics; Computer science","score_opus":0.008560200244819571,"score_gpt":0.24957331413538608,"score_spread":0.2410131138905665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408490938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85677445,0.0014588534,0.113654114,0.00039016805,0.020092435,0.00041830738,0.0000052354526,0.0001246386,0.007081784],"genre_scores_gemma":[0.98833776,0.000058818903,0.011110887,0.00007861737,0.00037822095,0.000001009134,6.7281246e-7,0.000019874136,0.000014164974],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99663264,0.00024222856,0.0015974414,0.0003384447,0.0007533872,0.00043589188],"domain_scores_gemma":[0.9954649,0.0016536299,0.0014022007,0.00059244403,0.0006932177,0.00019355715],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022556728,0.00037847817,0.0011570058,0.00063808414,0.00033052368,0.00033681988,0.0013806198,0.00022494885,0.000012449191],"category_scores_gemma":[0.00047260406,0.00033244872,0.0004185012,0.00094466313,0.00025571193,0.0004491246,0.0006061429,0.00055107643,0.0000016822792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008475793,0.000681976,0.00038713607,0.00027472503,0.00021777104,0.00002664999,0.00094068394,0.000014395335,0.0014675859,0.9929071,0.0006120284,0.0023851641],"study_design_scores_gemma":[0.0043972144,0.0006757345,0.00020378124,0.0008767502,0.00013401035,0.000085766675,0.00018735569,0.007947022,0.005074206,0.97726256,0.0028095758,0.00034600767],"about_ca_topic_score_codex":0.000008434061,"about_ca_topic_score_gemma":6.8925965e-7,"teacher_disagreement_score":0.13156328,"about_ca_system_score_codex":0.00006927458,"about_ca_system_score_gemma":0.00028790932,"threshold_uncertainty_score":0.99991274},"labels":[],"label_agreement":null},{"id":"W4408490939","doi":"10.61091/jcmcc124-01","title":"Strategic research on improving accounting audit quality and risk control using big data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Big data; Audit risk; Quality audit; Business; Accounting; Quality (philosophy); Control (management); Data quality; Computer science; Marketing; Data mining","score_opus":0.3327734163593492,"score_gpt":0.4616066961550343,"score_spread":0.1288332797956851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408490939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973779,0.00043160724,0.011457309,0.0003328788,0.013163392,0.00023766933,0.00003301169,0.000014908179,0.00055022],"genre_scores_gemma":[0.996627,0.00008860584,0.0012134495,0.000055389177,0.001990295,4.0873235e-7,0.0000017858742,0.000016330749,0.000006767216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99383026,0.000810978,0.0020090754,0.000523902,0.002315577,0.00051018375],"domain_scores_gemma":[0.98685694,0.0079646,0.0020267356,0.0008807521,0.0020683617,0.00020260352],"candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03440776,0.00028876908,0.0010647324,0.0005273329,0.0012838352,0.0020265817,0.0014706488,0.0002432363,0.0000045660845],"category_scores_gemma":[0.01055192,0.00020890808,0.00014203953,0.0011186113,0.00025688394,0.00058127986,0.0010813094,0.001144558,0.0000016557728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005374569,0.0010257566,0.008760325,0.00033960832,0.00036324447,0.000030247176,0.0008211571,0.0001582374,0.0014279659,0.91934437,0.0010474013,0.06614422],"study_design_scores_gemma":[0.006024435,0.0004670939,0.0037567706,0.00054486556,0.00015200069,0.000025999392,0.0037184055,0.054916196,0.00008770121,0.9293555,0.00063530845,0.00031574344],"about_ca_topic_score_codex":0.00016898735,"about_ca_topic_score_gemma":0.0000020216182,"teacher_disagreement_score":0.06582848,"about_ca_system_score_codex":0.000099275916,"about_ca_system_score_gemma":0.0006120826,"threshold_uncertainty_score":0.99900943},"labels":[],"label_agreement":null},{"id":"W4408490945","doi":"10.61091/jcmcc124-06","title":"The general inverse degree and some Hamiltonian properties of graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Degree (music); Mathematics; Inverse; Hamiltonian (control theory); Combinatorics; Physics; Mathematical optimization; Geometry","score_opus":0.032439438146967946,"score_gpt":0.2760614539856348,"score_spread":0.24362201583866686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408490945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939593,0.0010587692,0.00032082223,0.00031267377,0.0035031438,0.00029601355,0.0000013324344,0.000020259868,0.00052767555],"genre_scores_gemma":[0.99629563,0.00015596504,0.0032163025,0.00002296134,0.00025444475,0.0000040704354,1.6402328e-7,0.000018407602,0.000032049542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980303,0.00014045025,0.0010893486,0.00014770628,0.00035067077,0.00024149864],"domain_scores_gemma":[0.9971802,0.0010660177,0.00092827907,0.0002915816,0.00043486813,0.000099012446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018989339,0.00022255219,0.000602222,0.00017631098,0.0005548069,0.00014343386,0.0003963453,0.000121545534,8.460379e-7],"category_scores_gemma":[0.0007601135,0.00015153695,0.00016291496,0.0003062791,0.00035897185,0.00014362611,0.00023504464,0.00035971103,2.5223773e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072623676,0.00024776207,0.000105682426,0.0002927749,0.00015560942,0.0000017750743,0.0008226994,0.0000015686935,0.0024518392,0.99450785,0.00028834067,0.0010515021],"study_design_scores_gemma":[0.0019040236,0.00018209663,0.00009089287,0.00046285972,0.00015948681,0.00002197496,0.0004980018,0.00072425196,0.003735288,0.9915244,0.0005549967,0.0001417072],"about_ca_topic_score_codex":0.000005907138,"about_ca_topic_score_gemma":0.0000012445292,"teacher_disagreement_score":0.003248699,"about_ca_system_score_codex":0.000026967999,"about_ca_system_score_gemma":0.00011818919,"threshold_uncertainty_score":0.6179498},"labels":[],"label_agreement":null},{"id":"W4408490962","doi":"10.61091/jcmcc124-11","title":"Practical exploration of AI technology in digital preservation and innovation of mangzhi technique","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Data science","score_opus":0.02979109095018409,"score_gpt":0.32658738037819435,"score_spread":0.2967962894280103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408490962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6127367,0.000056511723,0.38328782,0.001185104,0.0019930056,0.00029089145,6.4770563e-7,0.000019409366,0.0004299081],"genre_scores_gemma":[0.9837929,0.000012126802,0.016117467,0.000009182712,0.000056061366,0.0000031122258,6.001874e-7,0.000005718139,0.000002834234],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982453,0.00003023383,0.0011256442,0.00013944067,0.00032752161,0.00013187958],"domain_scores_gemma":[0.9977157,0.00039694988,0.00086401013,0.00016675377,0.00082457234,0.00003200325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093989,0.00012654084,0.00045521214,0.00079603714,0.000040577655,0.00012335737,0.00027400575,0.00013974238,2.0953694e-7],"category_scores_gemma":[0.0010117297,0.000116936724,0.000036729885,0.00161991,0.00009121992,0.0017427789,0.00032110198,0.0002882362,1.0239375e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032618547,0.0004228128,0.0010067301,0.00024985246,0.000023734563,0.000004487617,0.0003024961,0.0000041910175,0.0019052118,0.9925353,0.00002549556,0.0034870883],"study_design_scores_gemma":[0.001402173,0.0006285862,0.00014982118,0.00076017535,0.000012774366,0.000019926894,0.00017147622,0.005077664,0.015857631,0.9757503,0.00007949823,0.00008994871],"about_ca_topic_score_codex":0.0000016349173,"about_ca_topic_score_gemma":7.07281e-8,"teacher_disagreement_score":0.3710562,"about_ca_system_score_codex":0.000031184045,"about_ca_system_score_gemma":0.00017169456,"threshold_uncertainty_score":0.47685412},"labels":[],"label_agreement":null},{"id":"W4408490966","doi":"10.61091/jcmcc124-05","title":"Research on inventory forecasting and management strategies in logistics and warehousing automation based on artificial intelligence models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inventory management; Automation; Warehouse; Operations research; Computer science; Business; Engineering management; Data science; Operations management; Engineering; Marketing","score_opus":0.07127337307845116,"score_gpt":0.318022226728361,"score_spread":0.24674885364990984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408490966","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17334072,0.00015495419,0.8201699,0.000055499317,0.0031497697,0.00029939145,8.490976e-7,0.000058089125,0.0027707813],"genre_scores_gemma":[0.9861377,0.000101792386,0.013590803,0.0000075948974,0.00014064655,0.0000022051172,7.717261e-7,0.000017599305,8.81266e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986105,0.00007180641,0.00060795003,0.00015344258,0.00033264665,0.00022368379],"domain_scores_gemma":[0.9987613,0.000755336,0.00016211392,0.00010957732,0.00015176044,0.00005991778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013116635,0.00017099954,0.00030907991,0.000551368,0.00018847287,0.00022940966,0.00010878838,0.000104080136,3.4049853e-7],"category_scores_gemma":[0.00017923216,0.00016780077,0.000024803243,0.00026633553,0.00008598236,0.0001463209,0.000077080906,0.00046410863,1.2271256e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003183496,0.00006330939,0.00000390302,0.00031002166,0.000010258507,0.000008659776,0.00018151487,0.50768477,0.0000042834554,0.48767382,0.0000054981215,0.0040221484],"study_design_scores_gemma":[0.00030963216,0.00013892683,0.000012204785,0.0006216762,0.0000107817195,0.0000018533043,0.00048017153,0.5299588,0.00010822265,0.4682812,0.0000048005672,0.00007171642],"about_ca_topic_score_codex":0.00000312055,"about_ca_topic_score_gemma":7.325658e-7,"teacher_disagreement_score":0.81279695,"about_ca_system_score_codex":0.00013197292,"about_ca_system_score_gemma":0.00003733998,"threshold_uncertainty_score":0.6842717},"labels":[],"label_agreement":null},{"id":"W4408490972","doi":"10.61091/jcmcc124-03","title":"Affine-Hill cipher key generation using self-invertible matrices from \\(k-\\)division \\(L-\\)Lehmer-Pell sequences","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Invertible matrix; Cipher; Division (mathematics); Mathematics; Affine transformation; Key (lock); Arithmetic; Algebra over a field; Computer science; Pure mathematics; Encryption; Computer network","score_opus":0.018288240656009147,"score_gpt":0.26508961008872683,"score_spread":0.2468013694327177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408490972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61235434,0.0008237083,0.36599666,0.0002663326,0.019584285,0.00029618145,0.0000023038317,0.00012231915,0.0005538413],"genre_scores_gemma":[0.9044869,0.000071526076,0.09362063,0.00008510749,0.0016978412,0.0000013599534,0.000002562775,0.00002590613,0.000008188307],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961962,0.000344508,0.0015625096,0.00047180164,0.0009973765,0.00042760765],"domain_scores_gemma":[0.9960852,0.0009068233,0.0014864743,0.00046412906,0.0008502671,0.00020704998],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023574892,0.00041771756,0.0008308433,0.00047558674,0.00048632582,0.00096165924,0.001070744,0.00024075835,0.000012514006],"category_scores_gemma":[0.00042077067,0.00038215215,0.00023924348,0.000980455,0.00006951707,0.0011245367,0.0005433662,0.00056022796,0.0000062360527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008035449,0.0012964302,0.0005444993,0.00034787806,0.00039517408,0.000079713835,0.0031353408,0.002821391,0.07171014,0.91020864,0.0013830094,0.007997406],"study_design_scores_gemma":[0.0031553777,0.00038406503,0.000065852524,0.00061232777,0.00015292612,0.000032438416,0.00013916258,0.6187153,0.013251961,0.36246648,0.00060903846,0.00041507755],"about_ca_topic_score_codex":0.00010264945,"about_ca_topic_score_gemma":0.0000013157057,"teacher_disagreement_score":0.6158939,"about_ca_system_score_codex":0.0003094457,"about_ca_system_score_gemma":0.0004489739,"threshold_uncertainty_score":0.999863},"labels":[],"label_agreement":null},{"id":"W4408490975","doi":"10.61091/jcmcc124-10","title":"Research on signal recognition method of acoustic beacon for underwater acoustic active and passive positioning dynamics system based on machine learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Underwater; Acoustics; Computer science; SIGNAL (programming language); Underwater acoustic communication; Dynamics (music); Underwater acoustics; Speech recognition; Physics; Geology","score_opus":0.02451473750330797,"score_gpt":0.2986561511939461,"score_spread":0.27414141369063816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408490975","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21476428,0.00008542973,0.78151166,0.00009728888,0.001981522,0.0005926854,0.000017134334,0.000062759726,0.0008872101],"genre_scores_gemma":[0.99310696,0.000014071347,0.0065859915,0.0000084631265,0.0002225802,0.000010618981,0.000009916298,0.000036684483,0.0000047111703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99791735,0.00033704052,0.0008562484,0.0001715924,0.00045609623,0.00026164725],"domain_scores_gemma":[0.99518144,0.0033552095,0.00044891934,0.00015927917,0.00076578255,0.000089366804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016986493,0.00022509837,0.00062120566,0.00048263068,0.0003801863,0.00015710655,0.00021515053,0.00017910903,0.0000012411965],"category_scores_gemma":[0.00008884519,0.00020429016,0.00011236758,0.0002891041,0.000056713114,0.00008972396,0.00008105434,0.00073039404,4.1205635e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030488227,0.0018707728,0.00013846741,0.013586009,0.001686935,0.00003310702,0.004522055,0.37275207,0.044531874,0.4830936,0.0001294317,0.07460687],"study_design_scores_gemma":[0.003455501,0.0013177398,0.00001421626,0.0029191575,0.00014804538,0.000019488503,0.002322944,0.91989666,0.012821722,0.05686443,0.000032911532,0.00018716187],"about_ca_topic_score_codex":0.000009598687,"about_ca_topic_score_gemma":0.0000010950691,"teacher_disagreement_score":0.77834266,"about_ca_system_score_codex":0.00032950795,"about_ca_system_score_gemma":0.00007217344,"threshold_uncertainty_score":0.8330711},"labels":[],"label_agreement":null},{"id":"W4408491219","doi":"10.61091/jcmcc124-12","title":"Application of blockchain technology for data integrity and privacy protection in distributed networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Privacy protection; Data integrity; Computer science; Computer security; Information privacy; Data Protection Act 1998; Internet privacy","score_opus":0.02185062180843749,"score_gpt":0.2867930076755561,"score_spread":0.2649423858671186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408491219","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13131683,0.00029208403,0.86454517,0.00084650953,0.0023894275,0.00056526414,0.000009782294,0.000026462652,0.000008460369],"genre_scores_gemma":[0.96780014,0.00001805574,0.03200221,0.000007111967,0.00015152757,0.000007677559,0.0000062721656,0.0000066668626,3.0892232e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982628,0.00007112342,0.00097115507,0.00027565996,0.00021302413,0.00020622824],"domain_scores_gemma":[0.99751025,0.00057210727,0.0008192144,0.0005957616,0.00044771575,0.000054930482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020014436,0.00015420497,0.000520617,0.00036188072,0.00014957086,0.00010416874,0.0010928831,0.00020148524,9.060665e-8],"category_scores_gemma":[0.0013786048,0.00015161031,0.000045242476,0.0009267705,0.00009632732,0.00018653201,0.0011576408,0.0005463793,4.4910085e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003505874,0.00037856115,0.00041951556,0.00017954381,0.000037284495,0.0000010503385,0.00018031534,0.00008041855,0.00021226445,0.9882562,0.000062695406,0.010157048],"study_design_scores_gemma":[0.0016198398,0.00016109347,0.00012445649,0.00020486017,0.000023233772,0.0000149829875,0.000051936095,0.51578003,0.00015408367,0.4814558,0.00033174327,0.0000779682],"about_ca_topic_score_codex":0.000030092566,"about_ca_topic_score_gemma":0.0000029832804,"teacher_disagreement_score":0.83648336,"about_ca_system_score_codex":0.00007385573,"about_ca_system_score_gemma":0.0001498993,"threshold_uncertainty_score":0.61824894},"labels":[],"label_agreement":null},{"id":"W4408492714","doi":"10.61091/jcmcc124-19","title":"Integrating fuzzy numbers in analyzing students’ decisions on higher education and employment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Mathematics education; Computer science; Business; Psychology; Artificial intelligence","score_opus":0.017299440164529785,"score_gpt":0.3354263863517605,"score_spread":0.3181269461872307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408492714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716923,0.00047795058,0.008642535,0.0017973748,0.015079104,0.00021726215,2.4363842e-7,0.00003288062,0.0020603056],"genre_scores_gemma":[0.9816461,0.000044533357,0.017932495,0.000097531534,0.00022812608,0.0000042523225,3.4976287e-7,0.0000076201522,0.000038955164],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982067,0.00009762055,0.0008215501,0.00023970164,0.00042938773,0.00020503622],"domain_scores_gemma":[0.99787545,0.0010281516,0.00051155104,0.00023941041,0.00025639834,0.00008902281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013074636,0.00019162917,0.0004221211,0.00050533644,0.00022205201,0.0003102241,0.0006563599,0.00012369845,0.0000014777615],"category_scores_gemma":[0.00032804624,0.00016898836,0.00006625534,0.0005998163,0.000049832997,0.00023556683,0.00038215533,0.0005103271,7.002931e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011259336,0.0009665271,0.0074747894,0.000024077232,0.000045047836,0.000004137406,0.00045531266,0.000011205241,0.000053801105,0.9813388,0.00020354151,0.009411523],"study_design_scores_gemma":[0.0016075427,0.0002860726,0.009451126,0.0011842304,0.00002774075,0.000016464448,0.00040762583,0.00053326396,0.000146344,0.9856379,0.00053858594,0.00016309852],"about_ca_topic_score_codex":0.000012109579,"about_ca_topic_score_gemma":0.0000010107059,"teacher_disagreement_score":0.014850978,"about_ca_system_score_codex":0.00016784889,"about_ca_system_score_gemma":0.00029948357,"threshold_uncertainty_score":0.6891145},"labels":[],"label_agreement":null},{"id":"W4408492740","doi":"10.61091/jcmcc124-20","title":"\\((d,1)\\)-Total labellings of two infinite families of snarks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics; Discrete mathematics","score_opus":0.010253072557796554,"score_gpt":0.2508597928154954,"score_spread":0.24060672025769886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408492740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94855344,0.00084414415,0.03731959,0.00016218166,0.01160097,0.0001811216,0.0000015188027,0.000035548386,0.0013015053],"genre_scores_gemma":[0.9701191,0.000072120056,0.029689297,0.000022401518,0.000075824246,6.591395e-7,3.500302e-7,0.000012130435,0.000008126657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99694026,0.00011482424,0.0017817783,0.0002218539,0.00066550996,0.0002757886],"domain_scores_gemma":[0.9955502,0.0009849918,0.0017395777,0.00040286419,0.0012062974,0.00011604428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019571013,0.0002551037,0.0009848654,0.0005513566,0.00015058072,0.00011041247,0.0007820939,0.000138646,0.0000016356254],"category_scores_gemma":[0.00039495737,0.00022443602,0.00024077533,0.0009133188,0.0001810638,0.00025167037,0.0004873063,0.0003987032,5.087805e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035945206,0.00046564735,0.00038388732,0.00032160617,0.0001298222,0.0000055486494,0.0011455608,0.00024161175,0.004098993,0.9913322,0.000111747155,0.0017274478],"study_design_scores_gemma":[0.004473342,0.00063773664,0.00007823655,0.001000895,0.00008741611,0.000033356595,0.00017744332,0.019542024,0.011076704,0.9625918,0.00010192304,0.00019908434],"about_ca_topic_score_codex":0.000025335929,"about_ca_topic_score_gemma":1.7282785e-7,"teacher_disagreement_score":0.028740345,"about_ca_system_score_codex":0.000026213711,"about_ca_system_score_gemma":0.0002442995,"threshold_uncertainty_score":0.91522354},"labels":[],"label_agreement":null},{"id":"W4408492743","doi":"10.61091/jcmcc124-13","title":"Research on semantic segmentation methods for RGB-D urban scenes in the context of artificial intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Segmentation; Computer science; Context (archaeology); Computer vision; RGB color model; Pattern recognition (psychology); Geography","score_opus":0.165465846597757,"score_gpt":0.4875763623717466,"score_spread":0.32211051577398964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408492743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8551417,0.0012089581,0.077692434,0.0061520836,0.034480188,0.004160535,0.0000063451466,0.000035410198,0.021122364],"genre_scores_gemma":[0.9931402,0.000053108197,0.006059906,0.000030407115,0.00067884824,0.000007550247,4.58507e-7,0.0000088419365,0.000020680394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960247,0.0015015084,0.001004377,0.00017126014,0.00096441706,0.00033368747],"domain_scores_gemma":[0.9881694,0.009922576,0.0004938427,0.00019348427,0.0011550251,0.000065715445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022310238,0.00012788892,0.00047015026,0.0005127959,0.000556274,0.00025623402,0.0007711139,0.00013734058,0.0000045175334],"category_scores_gemma":[0.0037267085,0.000101982645,0.0001261501,0.0009347574,0.0003916656,0.00014874848,0.00013443896,0.00057222095,6.8927267e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017324073,0.0004745671,0.00013439743,0.00015078366,0.000038741364,0.0000032777643,0.01297516,0.0000082167835,0.0001622249,0.9552224,0.00027133408,0.0303856],"study_design_scores_gemma":[0.0008391546,0.00066187413,0.000023837874,0.0004902835,0.000026479733,0.000001073887,0.051960256,0.0021442869,0.0025835384,0.939462,0.0017130378,0.000094146824],"about_ca_topic_score_codex":0.0001190394,"about_ca_topic_score_gemma":0.000010152327,"teacher_disagreement_score":0.13799852,"about_ca_system_score_codex":0.0001482901,"about_ca_system_score_gemma":0.000511143,"threshold_uncertainty_score":0.77323276},"labels":[],"label_agreement":null},{"id":"W4408492765","doi":"10.61091/jcmcc124-16","title":"The Wiener index of connected tripartite graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wiener index; Index (typography); Mathematics; Combinatorics; Graph; Computer science; World Wide Web","score_opus":0.016097865893522762,"score_gpt":0.2860321925356661,"score_spread":0.26993432664214334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408492765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98477924,0.0004296603,0.00487117,0.0002968357,0.0069766273,0.00038022385,0.0000023231214,0.00003372112,0.0022301746],"genre_scores_gemma":[0.99812794,0.000051314113,0.001535109,0.000016198663,0.00021695517,0.0000043384184,3.594829e-7,0.000019209096,0.000028572269],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974602,0.00018259796,0.0014821294,0.00015058453,0.00045162864,0.00027286456],"domain_scores_gemma":[0.9932131,0.004062272,0.0014572402,0.0003739769,0.0007958261,0.00009756106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026087353,0.00022763092,0.00070493156,0.0002208349,0.00049815146,0.000120327655,0.0005501581,0.00014655353,0.0000036475135],"category_scores_gemma":[0.0013503383,0.00016095246,0.00025540235,0.00071006693,0.00026013373,0.00010341484,0.00017756493,0.00042978176,4.5892028e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011766518,0.00043964674,0.00018857168,0.00015435895,0.00020096368,0.0000018969728,0.0004671673,0.000004678704,0.0005911364,0.9963045,0.00063374016,0.00089567725],"study_design_scores_gemma":[0.0028566266,0.00020325738,0.00010696959,0.00035060212,0.0001677254,0.000016250664,0.0005524176,0.0007869294,0.0020506165,0.99137753,0.0013886691,0.00014240266],"about_ca_topic_score_codex":0.000003917616,"about_ca_topic_score_gemma":7.8895926e-7,"teacher_disagreement_score":0.01334868,"about_ca_system_score_codex":0.00003117446,"about_ca_system_score_gemma":0.00014228598,"threshold_uncertainty_score":0.65634507},"labels":[],"label_agreement":null},{"id":"W4408492767","doi":"10.61091/jcmcc124-14","title":"On the theorems of Frobenius, Zorn and Hopf’s commutativity","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algebra and Geometry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Commutative property; Mathematics; Pure mathematics; Algebra over a field","score_opus":0.0160360977147416,"score_gpt":0.28935310866126407,"score_spread":0.2733170109465225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408492767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98097295,0.00034627414,0.011262868,0.0004273897,0.004334965,0.00030479662,0.0000032724788,0.000022062071,0.0023254203],"genre_scores_gemma":[0.9966288,0.0000398376,0.0029837557,0.00005322017,0.00025516422,0.0000015332287,3.002267e-7,0.00002355372,0.000013830426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99771124,0.00022391362,0.0011070638,0.00017461982,0.0005250003,0.00025815173],"domain_scores_gemma":[0.9894218,0.00846289,0.0012384192,0.00034923953,0.00043307504,0.000094605064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025164378,0.00028759753,0.00091726764,0.00022745109,0.00031443112,0.00010151683,0.00042025468,0.00014735082,0.000008132547],"category_scores_gemma":[0.003112389,0.00019301195,0.00017446568,0.00041429562,0.00026666484,0.00011429601,0.00029822267,0.00063833385,5.263724e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011408858,0.00049381517,0.0001269515,0.00029577466,0.00016357709,0.000005102706,0.00083137106,0.000006376712,0.00025443663,0.99565876,0.0004282019,0.0016215746],"study_design_scores_gemma":[0.0024719213,0.00047591102,0.000116433395,0.00076106563,0.00013259592,0.000023787814,0.00068315,0.0007362683,0.001783187,0.9925335,0.00011477585,0.00016740333],"about_ca_topic_score_codex":0.000002400759,"about_ca_topic_score_gemma":3.577387e-7,"teacher_disagreement_score":0.015655853,"about_ca_system_score_codex":0.000043806212,"about_ca_system_score_gemma":0.000095427036,"threshold_uncertainty_score":0.7870799},"labels":[],"label_agreement":null},{"id":"W4408499286","doi":"10.61091/jcmcc124-15","title":"On the Ramsey numbers \\(r(S_n, K_6-3K_2)\\)","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Topology and Set Theory","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ramsey's theorem; Ramsey theory; Mathematics; Combinatorics","score_opus":0.01738577458874396,"score_gpt":0.2992491871531379,"score_spread":0.28186341256439396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408499286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91021013,0.00036709092,0.031091042,0.0023505099,0.030238774,0.0006816324,0.0000029608816,0.000104074265,0.0249538],"genre_scores_gemma":[0.9953643,0.00002639586,0.0034789336,0.00024065727,0.0007361669,0.0000032941446,4.1831296e-7,0.000034858444,0.00011496268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99730915,0.00031170537,0.0012168965,0.00022897386,0.00053559867,0.0003976991],"domain_scores_gemma":[0.990086,0.007839926,0.0010780902,0.0004402407,0.00043192055,0.00012382871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028839924,0.0003540144,0.0008652682,0.00020771388,0.0005972362,0.00013306562,0.00066074467,0.0002536909,0.000032083575],"category_scores_gemma":[0.004077238,0.00024424956,0.00026788298,0.00038744387,0.00027240644,0.00012834783,0.00024537297,0.001012663,0.0000057396096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001763019,0.00048633138,0.000030300509,0.000122933,0.00020231454,0.000020277605,0.0007392914,0.000014698292,0.00007001684,0.99399036,0.003535888,0.00061130844],"study_design_scores_gemma":[0.0027306392,0.00039523348,0.000014719285,0.0005165487,0.00014702418,0.000053810767,0.0007514675,0.0005410325,0.0006230157,0.99261916,0.001386418,0.00022093278],"about_ca_topic_score_codex":0.0000023203063,"about_ca_topic_score_gemma":3.6182274e-7,"teacher_disagreement_score":0.0851542,"about_ca_system_score_codex":0.00010522763,"about_ca_system_score_gemma":0.00016005537,"threshold_uncertainty_score":0.99602085},"labels":[],"label_agreement":null},{"id":"W4408499302","doi":"10.61091/jcmcc124-17","title":"A time-series stock price prediction and asset portfolio optimization model based on long- and short-term memory networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio optimization; Stock price; Term (time); Series (stratigraphy); Long short term memory; Short-term memory; Computer science; Portfolio; Stock (firearms); Time series; Econometrics; Economics; Financial economics; Artificial intelligence; Artificial neural network; Machine learning; Working memory; Cognition; Engineering; Neuroscience; Psychology; Recurrent neural network","score_opus":0.031426718066044655,"score_gpt":0.3242451878740693,"score_spread":0.2928184698080247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408499302","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35342345,0.00020599831,0.6366111,0.0001297517,0.0069117,0.00042470585,0.0000039832607,0.000042807715,0.0022465412],"genre_scores_gemma":[0.95627075,0.00003517221,0.042958476,0.00004466185,0.00057670247,0.000003613312,0.0000021312421,0.000031259264,0.000077238015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99613214,0.00040055354,0.001568442,0.00041216283,0.0011800735,0.00030665763],"domain_scores_gemma":[0.99357206,0.0038871057,0.0010922134,0.00035334847,0.0008806375,0.00021462738],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007967761,0.00033089993,0.0008885537,0.00057945447,0.0004557134,0.0006557263,0.0003951103,0.0002491573,0.000009534708],"category_scores_gemma":[0.0045499075,0.00027472337,0.00012332256,0.00066221267,0.0001779536,0.0003960027,0.0003201664,0.0005247028,2.6631662e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022064303,0.0013622919,0.01137556,0.00040564532,0.00029852483,0.00006592888,0.0013510156,0.7917792,0.00016896393,0.1337242,0.003679822,0.053582404],"study_design_scores_gemma":[0.0019754397,0.00060316396,0.0011886804,0.0004207539,0.00010528447,0.00005472903,0.00008752243,0.8649187,0.000033227134,0.1304054,0.000020241447,0.00018683047],"about_ca_topic_score_codex":0.0000010327855,"about_ca_topic_score_gemma":1.3217512e-7,"teacher_disagreement_score":0.60284734,"about_ca_system_score_codex":0.00008566185,"about_ca_system_score_gemma":0.0001866501,"threshold_uncertainty_score":0.9999705},"labels":[],"label_agreement":null},{"id":"W4408499445","doi":"10.61091/jcmcc124-18","title":"Research on the construction of financial market volatility prediction model in digital economy environment based on machine learning algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Computer science; Real economy; Finance; Artificial intelligence; Business; Industrial engineering; Economics; Engineering; Monetary economics","score_opus":0.01441462279539471,"score_gpt":0.2584296914248764,"score_spread":0.24401506862948166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408499445","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11236332,0.000055539316,0.87860227,0.0005993614,0.003536222,0.00041966757,0.000005159299,0.000046777663,0.004371702],"genre_scores_gemma":[0.976016,0.000015392203,0.023829604,0.000020101663,0.000099719495,0.0000040855093,5.432278e-7,0.000008364087,0.0000061794212],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978974,0.00015445196,0.0008813771,0.00025438127,0.00055271393,0.000259679],"domain_scores_gemma":[0.9966283,0.0020937084,0.0005846988,0.00039733385,0.000250254,0.00004574145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027972448,0.00018447597,0.000426083,0.00044071343,0.00027118225,0.00014865136,0.00072993006,0.00019711419,0.0000022595366],"category_scores_gemma":[0.0011890831,0.00014806534,0.00009675588,0.00047278218,0.00019820062,0.00023638582,0.00041743205,0.0013460127,3.4352922e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008895848,0.00043728363,0.00042556904,0.000051827752,0.000016322367,0.000004613525,0.00014101184,0.010532597,0.000010274551,0.97095793,0.00007681849,0.017256783],"study_design_scores_gemma":[0.00088511186,0.00045863044,0.00005394552,0.00016361901,0.0000040000023,0.0000028197292,0.000046514186,0.52800703,0.00021170975,0.47000805,0.00010413174,0.00005443077],"about_ca_topic_score_codex":0.0000027469507,"about_ca_topic_score_gemma":9.691762e-8,"teacher_disagreement_score":0.8636527,"about_ca_system_score_codex":0.00023783972,"about_ca_system_score_gemma":0.00020892023,"threshold_uncertainty_score":0.60379297},"labels":[],"label_agreement":null},{"id":"W4408567064","doi":"10.61091/jcmcc124-22","title":"Intelligent optimization of new media advertising content combining deep neural networks and blockchain","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Artificial neural network; Computer science; Deep neural networks; Advertising; Artificial intelligence; Business; Computer security","score_opus":0.021679719521105038,"score_gpt":0.2430909162570006,"score_spread":0.22141119673589557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408567064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8430816,0.00095899496,0.14188679,0.0012074226,0.01172776,0.00032433853,3.918524e-7,0.00006880129,0.00074388133],"genre_scores_gemma":[0.99552023,0.000031221174,0.0033033642,0.00017016131,0.00094515755,9.3412416e-7,0.0000032221453,0.00002200572,0.0000037241293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99796116,0.000023099663,0.0012740877,0.00017672843,0.0003083335,0.00025656566],"domain_scores_gemma":[0.9972966,0.00046397003,0.0013206386,0.00017501341,0.00070825464,0.00003554912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009710765,0.00024482742,0.0006856339,0.00055770983,0.0002603674,0.00021037216,0.00030862,0.00019171387,0.000006267257],"category_scores_gemma":[0.0008097357,0.00022900474,0.00010577804,0.0007582282,0.0001598711,0.0002697985,0.00037621963,0.00046195212,2.9310482e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007752643,0.0002567137,0.0025176043,0.00020464124,0.0001390936,0.0000070297,0.00029354915,0.008605938,0.000087307635,0.9789212,0.0001771104,0.008712301],"study_design_scores_gemma":[0.00428456,0.00013037672,0.00040583854,0.00075125985,0.00028848488,0.00002228774,0.0017481963,0.6701685,0.0001422949,0.32157934,0.0002011931,0.00027762976],"about_ca_topic_score_codex":0.00007342823,"about_ca_topic_score_gemma":0.0000030843562,"teacher_disagreement_score":0.6615626,"about_ca_system_score_codex":0.000036944984,"about_ca_system_score_gemma":0.00003867672,"threshold_uncertainty_score":0.9338542},"labels":[],"label_agreement":null},{"id":"W4408567079","doi":"10.61091/jcmcc124-30","title":"A hybrid GARCH, convolutional neural network and long short term memory methods for volatility prediction in stock market","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Autoregressive conditional heteroskedasticity; Stock market; Econometrics; Stock market volatility; Convolutional neural network; Artificial neural network; Computer science; Long memory; Financial economics; Economics; Artificial intelligence; History","score_opus":0.05667251446420519,"score_gpt":0.39030764734790496,"score_spread":0.3336351328836998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408567079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71302587,0.0006562063,0.26453164,0.00012296569,0.019978903,0.00073992467,0.000006456732,0.00002539853,0.00091264053],"genre_scores_gemma":[0.90836215,0.000008747633,0.09032031,0.000025986563,0.0011855393,0.0000104436685,0.0000013060974,0.00002359269,0.000061896295],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99403596,0.0013789487,0.0025785372,0.0005057966,0.0009931927,0.0005075558],"domain_scores_gemma":[0.97860503,0.018602338,0.0010943438,0.00037212868,0.0011172488,0.00020893101],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.029885205,0.00034441904,0.0012455753,0.00054832763,0.00043630676,0.00041415246,0.0006387977,0.00018917245,0.000015937267],"category_scores_gemma":[0.015516239,0.00029594477,0.00026320058,0.00069050567,0.0002185576,0.00032709763,0.00052720745,0.0006835079,1.4916024e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003915689,0.0014166094,0.1616825,0.00094114576,0.0005520511,0.000051917013,0.001551914,0.00097026676,0.00051244866,0.25437486,0.010752765,0.56327784],"study_design_scores_gemma":[0.0028370393,0.00036634278,0.029183406,0.00029596424,0.00008545947,0.00009372316,0.00008968718,0.33150247,0.00005723094,0.6350682,0.0002460337,0.00017446147],"about_ca_topic_score_codex":0.0000045820293,"about_ca_topic_score_gemma":0.0000011161253,"teacher_disagreement_score":0.5631034,"about_ca_system_score_codex":0.00017183478,"about_ca_system_score_gemma":0.00028859542,"threshold_uncertainty_score":0.9999493},"labels":[],"label_agreement":null},{"id":"W4408567095","doi":"10.61091/jcmcc124-26","title":"Over-inversion numbers: Basic properties, log-concavity and unimodality","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Analytic Number Theory Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Direction Générale de la Recherche Scientifique et du Développement Technologique","keywords":"Unimodality; Mathematics; Inversion (geology); Combinatorics; Geology; Paleontology","score_opus":0.0342718434835666,"score_gpt":0.310089536252786,"score_spread":0.2758176927692194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408567095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889116,0.00032126042,0.0023340494,0.0003105328,0.004690127,0.00040461024,0.0000020561224,0.00004741849,0.0029783307],"genre_scores_gemma":[0.9968576,0.00004853449,0.0023226077,0.00004301274,0.0006039088,0.0000017635045,5.0951667e-7,0.00003387101,0.00008818575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967656,0.0003581604,0.0012791479,0.00031602848,0.00083187077,0.00044916308],"domain_scores_gemma":[0.9959339,0.0018424587,0.0008890317,0.00039653984,0.0006789001,0.000259184],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004048723,0.0003602591,0.0010736833,0.00027589747,0.00042259487,0.0002818271,0.00049027003,0.00024987175,0.00001737711],"category_scores_gemma":[0.002303357,0.00030110104,0.00019637313,0.00046364777,0.00030996924,0.00029204693,0.000629605,0.0008039815,0.0000018568683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024215892,0.0006041045,0.0015743331,0.00089869613,0.00024993694,0.000025815441,0.0008812776,0.0000013310495,0.0007150405,0.99241114,0.0011858412,0.001210346],"study_design_scores_gemma":[0.004851364,0.0003325816,0.00015088063,0.00096563244,0.00023690639,0.00004739059,0.0007963098,0.004413001,0.0011112114,0.98620874,0.0005999034,0.00028606405],"about_ca_topic_score_codex":0.000043696033,"about_ca_topic_score_gemma":0.000001804575,"teacher_disagreement_score":0.007945992,"about_ca_system_score_codex":0.0002271153,"about_ca_system_score_gemma":0.00034829575,"threshold_uncertainty_score":0.9999441},"labels":[],"label_agreement":null},{"id":"W4408567149","doi":"10.61091/jcmcc124-21","title":"Meteorological analysis based on cloud radar data acquisition and computerized data fusion techniques","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Radar; Computer science; Sensor fusion; Remote sensing; Data acquisition; Fusion; Meteorology; Geology; Geography; Telecommunications; Artificial intelligence; Operating system","score_opus":0.029768669107429684,"score_gpt":0.3240046137711856,"score_spread":0.2942359446637559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408567149","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023171898,0.00020544372,0.9706866,0.0005419132,0.004594065,0.00033198943,0.0000150946435,0.00021496328,0.00023799467],"genre_scores_gemma":[0.5871085,0.000052989406,0.412286,0.00015105317,0.00037083728,0.000001035183,0.000016272805,0.0000124003345,9.0340603e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962189,0.0003483196,0.0013769086,0.0007818814,0.0009395356,0.00033440822],"domain_scores_gemma":[0.9930582,0.0026909746,0.0012391235,0.0023645998,0.00048304262,0.00016407801],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004649313,0.00038029504,0.001191714,0.0008263651,0.00039812314,0.000619838,0.0037741903,0.00025235864,0.0000023636007],"category_scores_gemma":[0.0010950593,0.00031626626,0.00013795753,0.001375003,0.00013080525,0.0007567973,0.0047705127,0.00059190555,4.4667274e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002469823,0.0008260892,0.00010110849,0.000104331775,0.00035015048,0.00007378747,0.000097355995,0.000050461218,0.0005377758,0.94103473,0.0015278668,0.05504936],"study_design_scores_gemma":[0.0017910175,0.00067676627,0.00010796248,0.0004096278,0.00030550608,0.000028083366,0.000015772825,0.48155573,0.00052786584,0.5126841,0.0016244986,0.00027305252],"about_ca_topic_score_codex":0.000005313851,"about_ca_topic_score_gemma":2.2312074e-7,"teacher_disagreement_score":0.5639366,"about_ca_system_score_codex":0.00008658043,"about_ca_system_score_gemma":0.00016138425,"threshold_uncertainty_score":0.99992895},"labels":[],"label_agreement":null},{"id":"W4408567157","doi":"10.61091/jcmcc124-25","title":"Research on thematic clustering and text mining of chinese modern and contemporary literary texts in the network era","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thematic map; Cluster analysis; Literature; History; Information retrieval; Linguistics; Data science; Computer science; Artificial intelligence; Art; Geography; Philosophy; Cartography","score_opus":0.05007256040533145,"score_gpt":0.3883092477054205,"score_spread":0.33823668730008905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408567157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870988,0.0021915478,0.001833781,0.0006247704,0.0016902286,0.00027549543,4.7569628e-7,0.0000073980805,0.00627751],"genre_scores_gemma":[0.9962899,0.00007655854,0.0029531661,0.00004231913,0.00061538164,0.000002043394,3.1083457e-7,0.000009306848,0.000010987065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99679697,0.0010776472,0.0009181963,0.0001786266,0.0007685022,0.00026005314],"domain_scores_gemma":[0.9905108,0.008383405,0.00051948545,0.00014039259,0.00036304054,0.000082862265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010738259,0.00016597641,0.0006352904,0.00031194012,0.0005602219,0.00027217192,0.00033830252,0.000111515874,0.0000017182531],"category_scores_gemma":[0.0010917531,0.00011739313,0.0000876081,0.00090940273,0.00026834285,0.00016202252,0.00029134314,0.00054236804,1.115911e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016541334,0.00040295822,0.0053955163,0.0003519518,0.000118974145,0.000019622315,0.042012565,0.00028458828,0.00002781921,0.92198694,0.00013992138,0.029093707],"study_design_scores_gemma":[0.0015408889,0.00024041414,0.003402348,0.0010626422,0.000027119755,0.0000090290505,0.0039097597,0.023089228,0.0000032229182,0.96650356,0.00010477783,0.000106998894],"about_ca_topic_score_codex":0.00004234143,"about_ca_topic_score_gemma":0.000007315162,"teacher_disagreement_score":0.044516608,"about_ca_system_score_codex":0.00004067862,"about_ca_system_score_gemma":0.0002189446,"threshold_uncertainty_score":0.4787153},"labels":[],"label_agreement":null},{"id":"W4408567163","doi":"10.61091/jcmcc124-27","title":"Graphs of reduced words and some connections","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"semigroups and automata theory","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Linguistics; Combinatorics; Computer science; Philosophy","score_opus":0.009923363222652895,"score_gpt":0.2516400508154038,"score_spread":0.24171668759275092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408567163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95198524,0.0011262909,0.030765949,0.00045265543,0.014691216,0.0001812887,0.0000011044498,0.00005288121,0.00074338453],"genre_scores_gemma":[0.9904399,0.000087664026,0.009152671,0.000040681018,0.0002592049,0.0000010333052,2.1215858e-7,0.000010733184,0.0000079261445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99805975,0.00010826671,0.0010080752,0.00021266274,0.00037304376,0.00023818688],"domain_scores_gemma":[0.9973942,0.00096911704,0.0008580042,0.00031605494,0.00034004616,0.0001225766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014828352,0.0002136267,0.00069675536,0.00039042966,0.00023244228,0.00021425773,0.00060872646,0.00012582277,0.0000014677988],"category_scores_gemma":[0.00039575543,0.00018866493,0.00014736969,0.00055602676,0.00013372056,0.00040294303,0.000437763,0.00032667277,3.0753452e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021023496,0.00025468442,0.000072014016,0.00014565492,0.000098732125,0.0000063150183,0.00084857154,0.000006153443,0.002229968,0.9924724,0.00012708473,0.0037173678],"study_design_scores_gemma":[0.0023532081,0.00036259423,0.00017355777,0.00047704743,0.00006208791,0.00006470708,0.00030058538,0.007877676,0.003764857,0.98419434,0.00019956812,0.00016979237],"about_ca_topic_score_codex":0.0000067176456,"about_ca_topic_score_gemma":9.33094e-8,"teacher_disagreement_score":0.038454644,"about_ca_system_score_codex":0.000033906523,"about_ca_system_score_gemma":0.00015365894,"threshold_uncertainty_score":0.7693533},"labels":[],"label_agreement":null},{"id":"W4408567166","doi":"10.61091/jcmcc124-29","title":"Numerical simulation study of the sensitivity of solar cell current output to environmental changes","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sensitivity (control systems); Current (fluid); Environmental science; Computer simulation; Computer science; Engineering; Electronic engineering; Simulation; Electrical engineering","score_opus":0.014190759869166123,"score_gpt":0.26325786076917024,"score_spread":0.2490671009000041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408567166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751731,0.00008896591,0.017486664,0.00003092449,0.006398957,0.00060222315,0.0000024177584,0.000018574956,0.00019813686],"genre_scores_gemma":[0.9991016,0.000007397013,0.00064030616,0.000008957169,0.00021691527,0.0000023623033,4.0243106e-7,0.000017757191,0.0000043414925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975859,0.0003874934,0.0010604974,0.00015695157,0.00064694625,0.00016221727],"domain_scores_gemma":[0.99726355,0.0007918899,0.0012977652,0.00028721904,0.00028746502,0.000072096576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014690533,0.00019920357,0.0007094932,0.00020010355,0.0001333302,0.000035819816,0.00027696724,0.000093351264,0.0000021307544],"category_scores_gemma":[0.0004142469,0.00015710032,0.00012777529,0.00035649003,0.000044466033,0.000064868545,0.0002869384,0.0002533217,3.0591073e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018207743,0.04863143,0.03472915,0.0042635333,0.0016578904,0.00003749448,0.053588163,0.36202005,0.098968565,0.34498042,0.0009497725,0.048352752],"study_design_scores_gemma":[0.022431226,0.0073701586,0.0077126794,0.003929797,0.0011795239,0.000038955823,0.007743833,0.41436544,0.34768206,0.18325192,0.0029047858,0.0013896198],"about_ca_topic_score_codex":0.000055786564,"about_ca_topic_score_gemma":0.0000016199816,"teacher_disagreement_score":0.24871348,"about_ca_system_score_codex":0.00010379658,"about_ca_system_score_gemma":0.0000662301,"threshold_uncertainty_score":0.6406365},"labels":[],"label_agreement":null},{"id":"W4408567211","doi":"10.61091/jcmcc124-23","title":"A virtual simulation-based perspective on intercultural communication in language learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Intercultural communication; Psychology; Computer science; Human–computer interaction; Cognitive science; Communication; Artificial intelligence","score_opus":0.016068738352112418,"score_gpt":0.2919285613968415,"score_spread":0.27585982304472906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408567211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98077184,0.00025858797,0.00093844155,0.00037177623,0.0041063055,0.00015852207,6.2310477e-7,0.00004629555,0.01334763],"genre_scores_gemma":[0.99906456,0.0000039994707,0.00022828062,0.00005889144,0.0005370797,0.0000011554841,0.0000017081339,0.000015977754,0.00008832287],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984408,0.00029948092,0.00065158977,0.00013692079,0.0002905171,0.00018068493],"domain_scores_gemma":[0.9967413,0.0021437667,0.00053806347,0.00014001378,0.00038755592,0.000049279108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001332052,0.00018361658,0.0004288236,0.00033387457,0.00044183072,0.0003330501,0.00025077458,0.00007765935,0.000019849498],"category_scores_gemma":[0.0013678774,0.00015800794,0.000115676376,0.000117219264,0.00010201778,0.00015190648,0.000078104065,0.0010067251,0.000002273886],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110039255,0.00031291487,0.0001112335,0.000042926324,0.00004323462,0.0000055912833,0.073741645,0.013278575,0.000031196912,0.9111088,0.000034404016,0.001179431],"study_design_scores_gemma":[0.013737597,0.0026705426,0.00020004905,0.005268962,0.0001730142,0.0000068098584,0.2401498,0.36847857,0.0002023852,0.36105174,0.0072925654,0.00076798035],"about_ca_topic_score_codex":0.00008861213,"about_ca_topic_score_gemma":0.000008501623,"teacher_disagreement_score":0.55005705,"about_ca_system_score_codex":0.00019816414,"about_ca_system_score_gemma":0.000083408115,"threshold_uncertainty_score":0.64433765},"labels":[],"label_agreement":null},{"id":"W4408567663","doi":"10.61091/jcmcc124-37","title":"Research on single-surface CT imaging of mass concrete structures based on surface waves","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Water Resources","keywords":"Surface (topology); Surface wave; Materials science; Geology; Optics; Physics; Geometry; Mathematics","score_opus":0.02272361374215427,"score_gpt":0.28121153364528867,"score_spread":0.2584879199031344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408567663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986979,0.00032598036,0.0005658021,0.00036402652,0.0062821764,0.00016743083,0.000014043293,0.000015837806,0.0052856673],"genre_scores_gemma":[0.9957954,0.000022228196,0.0037191338,0.00006536697,0.0003687615,5.2492624e-8,0.0000040509085,0.000010473187,0.000014506436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968425,0.0003558841,0.0009959341,0.00026964024,0.001126287,0.0004097734],"domain_scores_gemma":[0.9951049,0.0031585696,0.00073416124,0.00029239932,0.0005507173,0.00015927164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028309755,0.0002688428,0.00079514517,0.00034493377,0.00035729117,0.0002402438,0.00049741706,0.000081951475,0.000045297817],"category_scores_gemma":[0.00046962217,0.00021354796,0.00022178887,0.00072206114,0.0001994658,0.000111631634,0.00004751129,0.00068044703,0.0000025350546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015885102,0.00058250985,0.023201264,0.0011838957,0.00074458396,0.0002514856,0.0008377652,0.2160685,0.004725293,0.7403052,0.002098204,0.0084127765],"study_design_scores_gemma":[0.004263149,0.0016716956,0.0016198064,0.0013205976,0.00015643537,0.000015678906,0.0015616412,0.4514804,0.005289,0.53174007,0.0004944445,0.00038709023],"about_ca_topic_score_codex":0.00011696019,"about_ca_topic_score_gemma":6.0559375e-7,"teacher_disagreement_score":0.23541187,"about_ca_system_score_codex":0.00003465424,"about_ca_system_score_gemma":0.00019322836,"threshold_uncertainty_score":0.8708233},"labels":[],"label_agreement":null},{"id":"W4408567674","doi":"10.61091/jcmcc124-28","title":"Exploring the social and cultural contexts in ancient chinese literature using natural language processing techniques","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Linguistics; History; Sociology; Archaeology; Philosophy","score_opus":0.036382338127129786,"score_gpt":0.3781597734527998,"score_spread":0.34177743532567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408567674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922151,0.002567833,0.000709737,0.0004530906,0.0034663652,0.00018171268,4.8940404e-7,0.0000217662,0.00038388485],"genre_scores_gemma":[0.9953573,0.000058393678,0.0033019208,0.00004430246,0.0012182135,0.0000020451605,4.9829004e-7,0.000008537841,0.000008793156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981428,0.0003259957,0.0006448922,0.00015680717,0.0004799618,0.00024955402],"domain_scores_gemma":[0.9982097,0.00066690403,0.00048427464,0.00006636948,0.0005101243,0.00006259359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027490654,0.00018207663,0.00048434685,0.00025624447,0.0009498677,0.0005518524,0.00026215203,0.00008153878,7.972923e-7],"category_scores_gemma":[0.00078184763,0.00012326142,0.000121056735,0.0009791832,0.0001952449,0.0004608267,0.00016011055,0.0005218475,5.4737658e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001202675,0.00033530427,0.0024210932,0.00031159018,0.00012052901,0.0000419651,0.1713397,0.00002154112,0.0012003912,0.66331565,0.00004331508,0.16072863],"study_design_scores_gemma":[0.006283663,0.00025695976,0.020059347,0.0041834884,0.0003669196,0.0001027804,0.05183026,0.045835704,0.00043470596,0.86788785,0.0017538671,0.0010044391],"about_ca_topic_score_codex":0.00008660189,"about_ca_topic_score_gemma":0.00001341222,"teacher_disagreement_score":0.2045722,"about_ca_system_score_codex":0.00012498513,"about_ca_system_score_gemma":0.00017434698,"threshold_uncertainty_score":0.73057103},"labels":[],"label_agreement":null},{"id":"W4408567745","doi":"10.61091/jcmcc124-31","title":"Exploring the trend of stylistic evolution of chinese modern and contemporary literary works based on big data analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Big data; History; Literature; Chinese literature; Linguistics; Art; Computer science; China; Philosophy; Archaeology; Data mining","score_opus":0.09098774536056745,"score_gpt":0.3432634182296545,"score_spread":0.25227567286908703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408567745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8872921,0.001496153,0.104905784,0.0002659808,0.0042607,0.00018575559,0.000009716117,0.00001258329,0.0015712114],"genre_scores_gemma":[0.99725854,0.000046753732,0.002198069,0.00001064252,0.0004683719,0.0000010635331,0.0000042659444,0.000007726785,0.000004584965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99732995,0.00052157,0.001068542,0.00020298675,0.0007215708,0.00015540687],"domain_scores_gemma":[0.9938839,0.004152012,0.0011256277,0.0003433225,0.0004089448,0.00008616255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042994414,0.00017246537,0.0008084513,0.0005958414,0.0003451224,0.0001316795,0.00054579746,0.00007438867,0.0000018001032],"category_scores_gemma":[0.0013985878,0.0001244326,0.00020969709,0.001650832,0.00023532988,0.00025752158,0.0002314816,0.00028016482,4.3097565e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041554892,0.0010236036,0.014183777,0.00032774266,0.0014740499,0.000007083675,0.00832596,0.0027083182,0.00008003083,0.906164,0.000039730177,0.065250136],"study_design_scores_gemma":[0.0019422177,0.00019976795,0.0077702454,0.0005744958,0.0007146738,9.55282e-7,0.0010497742,0.2306449,0.000013407311,0.7568151,0.00012415712,0.00015032015],"about_ca_topic_score_codex":0.000118026815,"about_ca_topic_score_gemma":0.000011161973,"teacher_disagreement_score":0.22793658,"about_ca_system_score_codex":0.000058181853,"about_ca_system_score_gemma":0.00034273195,"threshold_uncertainty_score":0.5074214},"labels":[],"label_agreement":null},{"id":"W4408568259","doi":"10.61091/jcmcc124-34","title":"Axiomatic characterization of the center function on fan graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Center (category theory); Characterization (materials science); Function (biology); Mathematics; Axiom; Combinatorics; Geometry; Nanotechnology; Materials science; Chemistry","score_opus":0.013893686824402418,"score_gpt":0.2609591501789511,"score_spread":0.24706546335454868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408568259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852804,0.000017751841,0.0047336454,0.00021702146,0.007968617,0.0003653526,0.0000036903625,0.000021470905,0.0013920479],"genre_scores_gemma":[0.99919724,0.000007839257,0.0005026437,0.000042923846,0.0002079157,0.0000033261672,0.0000011496021,0.000017835388,0.000019120462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980211,0.0001596904,0.0010820125,0.00013753293,0.0004254946,0.00017412774],"domain_scores_gemma":[0.9970668,0.0007827642,0.0013595878,0.00034012753,0.0003930297,0.000057704354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011404622,0.00020351938,0.0005283267,0.00022367056,0.00029252627,0.000070237526,0.0003819476,0.00012226395,0.000005232848],"category_scores_gemma":[0.00047655613,0.00014488687,0.000245378,0.00055883743,0.000105399784,0.00009995162,0.00012827462,0.00032789976,6.987487e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080244914,0.00075044925,0.00025050613,0.00027842456,0.0001177378,4.823836e-7,0.00037405835,0.0000014106025,0.0067239637,0.99066156,0.00010267904,0.0006584682],"study_design_scores_gemma":[0.001986375,0.00025447045,0.0009422426,0.00082347635,0.00017087093,0.000010100014,0.00013443196,0.00025518617,0.005214407,0.98982173,0.00027134432,0.00011537274],"about_ca_topic_score_codex":8.2511656e-7,"about_ca_topic_score_gemma":1.157851e-7,"teacher_disagreement_score":0.013916844,"about_ca_system_score_codex":0.000037184942,"about_ca_system_score_gemma":0.000068306195,"threshold_uncertainty_score":0.5908315},"labels":[],"label_agreement":null},{"id":"W4408568268","doi":"10.61091/jcmcc124-35","title":"Easier proofs of three determinant identities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematical proof; Mathematics; Calculus (dental); Computer science; Algebra over a field; Pure mathematics; Medicine; Geometry","score_opus":0.008556634527984061,"score_gpt":0.2234023516475557,"score_spread":0.21484571711957165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408568268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675104,0.0011432889,0.0069280616,0.000013275178,0.020863682,0.0002170211,0.0000016977187,0.00004537922,0.0032772133],"genre_scores_gemma":[0.9988629,0.00003171699,0.00065794465,0.0000034324632,0.00040650115,0.0000017779967,2.785341e-7,0.000023064955,0.000012389765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980949,0.000053078526,0.001156933,0.00010398017,0.00035774094,0.00023336164],"domain_scores_gemma":[0.9985532,0.00036013112,0.00047472666,0.00020526655,0.00032608988,0.00008059759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011173317,0.00022339071,0.00074792805,0.00028128125,0.00011499052,0.00009651826,0.00034225313,0.00013979194,0.0000041771846],"category_scores_gemma":[0.00016266314,0.00019885527,0.00019283108,0.00031250337,0.00009212645,0.00016183117,0.000100281635,0.00030528492,8.213149e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049760743,0.00018817133,0.00060945284,0.001326607,0.0002502165,0.000015907883,0.00076048664,0.00016003048,0.0019132263,0.99211264,0.00026778402,0.0023456933],"study_design_scores_gemma":[0.002469515,0.00029052072,0.00027913248,0.0012520342,0.00014673609,0.000064257925,0.0003595032,0.0071608727,0.00652616,0.9808272,0.00039732922,0.00022672823],"about_ca_topic_score_codex":0.0000022370573,"about_ca_topic_score_gemma":3.9864878e-7,"teacher_disagreement_score":0.031352513,"about_ca_system_score_codex":0.00004489297,"about_ca_system_score_gemma":0.00006224862,"threshold_uncertainty_score":0.8109082},"labels":[],"label_agreement":null},{"id":"W4408568455","doi":"10.61091/jcmcc124-32","title":"Research on online monitoring system of transmission tower based on computer video algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science and Technology Project of State Grid","keywords":"Computer science; Tower; Transmission tower; Algorithm; Transmission (telecommunications); Computer graphics (images); Telecommunications; Engineering","score_opus":0.01973974670873039,"score_gpt":0.29022219503857377,"score_spread":0.27048244832984336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408568455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66261524,0.0008649456,0.14559728,0.00012972583,0.18488066,0.0007943893,0.00001385397,0.00021760825,0.0048863026],"genre_scores_gemma":[0.9880303,0.000021730726,0.0069787214,0.0000067888673,0.0049109003,0.0000020479413,0.0000013442954,0.000041872056,0.000006292526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968854,0.00019311515,0.0013153089,0.00020582338,0.001027272,0.0003730453],"domain_scores_gemma":[0.99695605,0.0015765504,0.00034061304,0.0003186581,0.0006386904,0.00016945343],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023584485,0.00030766614,0.00089947117,0.00069191435,0.00020126635,0.00012244453,0.00042455684,0.00023150165,0.0000025740133],"category_scores_gemma":[0.00006933832,0.00026403167,0.0002095148,0.0006243596,0.000058378948,0.000082864186,0.000069932656,0.0008792284,0.0000013860603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013793098,0.0065523474,0.00089653564,0.012668906,0.0014608332,0.0003072622,0.004404481,0.10483516,0.004601886,0.7327302,0.017467229,0.11269586],"study_design_scores_gemma":[0.010565642,0.0033711465,0.0003312964,0.020015223,0.00014433586,0.000040597588,0.0012018117,0.93173003,0.013033039,0.011925025,0.0070205955,0.0006212452],"about_ca_topic_score_codex":0.0000056298795,"about_ca_topic_score_gemma":3.9932463e-8,"teacher_disagreement_score":0.8268949,"about_ca_system_score_codex":0.0002140389,"about_ca_system_score_gemma":0.000113151975,"threshold_uncertainty_score":0.99998116},"labels":[],"label_agreement":null},{"id":"W4408568474","doi":"10.61091/jcmcc124-38","title":"Construction of an environmental legal guarantee system based on the analysis of the current situation of rural ecological protection by GIS and big data technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Environmental Sustainability and Technology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Current (fluid); Big data; Business; Environmental resource management; Environmental planning; Geography; Computer science; Environmental science; Data mining; Engineering","score_opus":0.009140562196797037,"score_gpt":0.22262935580207202,"score_spread":0.21348879360527498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408568474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962701,0.000054916865,0.0017622419,0.00024432794,0.0012353928,0.00036915284,0.000016309341,0.0000072956545,0.00004024721],"genre_scores_gemma":[0.99967206,0.000013736431,0.0002715201,0.000003847868,0.00002795654,0.0000025424342,0.000003048526,0.0000047271633,5.4878086e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998344,0.00018816172,0.00078026153,0.0001610342,0.00040070913,0.00012582271],"domain_scores_gemma":[0.99818593,0.00026299755,0.0010817992,0.00041857435,0.000026755684,0.000023912555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011237547,0.00014040615,0.00047684598,0.00016653464,0.00017986387,0.000017407245,0.0004897401,0.00013981662,0.0000056143963],"category_scores_gemma":[0.00022332481,0.00009158756,0.000092912545,0.0005859302,0.0007980087,0.00009473916,0.0004775337,0.00033842534,8.337923e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075816025,0.007045307,0.056779876,0.00086573744,0.0010627677,0.0000039067554,0.0009220964,0.0034374553,0.045214556,0.6982717,0.000060726292,0.18557769],"study_design_scores_gemma":[0.008687535,0.0049006087,0.066061676,0.0010873533,0.003361011,0.00006539904,0.012364598,0.39714557,0.05696858,0.4481609,0.0005269326,0.0006698418],"about_ca_topic_score_codex":0.000030619627,"about_ca_topic_score_gemma":0.000002171218,"teacher_disagreement_score":0.3937081,"about_ca_system_score_codex":0.00015941025,"about_ca_system_score_gemma":0.000026632148,"threshold_uncertainty_score":0.3734832},"labels":[],"label_agreement":null},{"id":"W4408568537","doi":"10.61091/jcmcc124-24","title":"Design and implementation of intelligent library personalized information recommendation model based on reinforcement learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Computer science; Reinforcement; Human–computer interaction; Computer architecture; World Wide Web; Artificial intelligence; Engineering","score_opus":0.019723700578176,"score_gpt":0.2909097171920895,"score_spread":0.2711860166139135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408568537","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045372512,0.000025037793,0.951026,0.00035702492,0.0022348722,0.00028088706,3.7436047e-7,0.0000270926,0.0006761608],"genre_scores_gemma":[0.9697227,0.000034882065,0.030094605,0.00007730948,0.00005290946,0.0000025066452,0.000003515768,0.000006509888,0.000005086612],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837893,0.00008980108,0.0009025169,0.0001122763,0.00036360545,0.0001528884],"domain_scores_gemma":[0.9981954,0.00053732784,0.0008398323,0.00010731553,0.00023719617,0.000082905935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009940068,0.00015779452,0.000346666,0.00027161677,0.00013705826,0.00029228738,0.00024900993,0.00006289794,0.0000036447946],"category_scores_gemma":[0.00010805731,0.00014133807,0.00006727903,0.0002691092,0.00003488556,0.0010581658,0.00018331935,0.00020626425,4.957071e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011682416,0.00016394343,0.00007804166,0.00025852045,0.0000532571,9.4100926e-7,0.0019504279,0.012423531,0.00007619922,0.9447483,0.00013300353,0.039997052],"study_design_scores_gemma":[0.002567351,0.0010306165,0.000020355583,0.00038893838,0.000028471832,0.0000029233736,0.00038584415,0.836278,0.003535995,0.15534212,0.00030156414,0.00011778681],"about_ca_topic_score_codex":0.0000015351502,"about_ca_topic_score_gemma":9.556132e-9,"teacher_disagreement_score":0.92435014,"about_ca_system_score_codex":0.000045074325,"about_ca_system_score_gemma":0.00020446283,"threshold_uncertainty_score":0.5763599},"labels":[],"label_agreement":null},{"id":"W4408569305","doi":"10.61091/jcmcc124-36","title":"Algorithmic evaluation of higher education management data based on artificial intelligence and multimedia technologies","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Multimedia; Artificial intelligence","score_opus":0.07961435075050842,"score_gpt":0.40327632365064137,"score_spread":0.32366197290013293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408569305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6576903,0.0041453834,0.081121795,0.019129809,0.14334571,0.0073496527,0.000031965217,0.0005371031,0.08664828],"genre_scores_gemma":[0.97285306,0.000041112442,0.026597742,0.00002469734,0.00045350246,0.000006269642,0.000003207988,0.00000809453,0.000012307868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978054,0.00020869049,0.000742234,0.00019325392,0.0008983118,0.0001520969],"domain_scores_gemma":[0.99688196,0.0007150434,0.0007460701,0.00028057245,0.0013392332,0.000037093083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005159123,0.00013693345,0.00031433738,0.00043954217,0.00026103636,0.000105252795,0.0005237957,0.00013094892,0.000008315118],"category_scores_gemma":[0.0012934046,0.00013035882,0.000035182362,0.0006024337,0.0002589659,0.00017182164,0.00020567115,0.00024698605,3.6622083e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024494362,0.000544713,0.00005879383,0.000085761436,0.00003673251,3.8597912e-7,0.00048666523,0.00001090653,0.000034855148,0.89042735,0.00030339125,0.10798596],"study_design_scores_gemma":[0.0004057907,0.00014124149,0.00023182042,0.00059846573,0.00011984473,6.125287e-7,0.0029384568,0.013466073,0.00083936105,0.9799646,0.001177953,0.00011574259],"about_ca_topic_score_codex":0.000023618339,"about_ca_topic_score_gemma":7.424461e-7,"teacher_disagreement_score":0.31516278,"about_ca_system_score_codex":0.00017501625,"about_ca_system_score_gemma":0.0006599506,"threshold_uncertainty_score":0.53158784},"labels":[],"label_agreement":null},{"id":"W4408569360","doi":"10.61091/jcmcc124-33","title":"Low-orbit satellite signal interference detection based on fast regional convolutional network and its multidimensional evaluation method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Satellite; Interference (communication); SIGNAL (programming language); Computer science; Remote sensing; Orbit (dynamics); Orbit determination; Telecommunications; Physics; Geography; Astronomy; Aerospace engineering; Engineering","score_opus":0.016646293081644704,"score_gpt":0.28511136744371773,"score_spread":0.268465074362073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408569360","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16115722,0.0012817074,0.82650256,0.00013208808,0.009618525,0.00055280165,0.0000030190977,0.00018090758,0.00057117967],"genre_scores_gemma":[0.9605055,0.000043890737,0.038769096,0.000043962962,0.0005995394,0.000005621936,0.000002525238,0.000027736094,0.0000021495803],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792486,0.00017527495,0.0007983152,0.00021882165,0.0006159619,0.0002667662],"domain_scores_gemma":[0.99755067,0.001132365,0.00037829243,0.00013835421,0.0006919855,0.00010836471],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020401003,0.00028448456,0.00049739674,0.00026000795,0.00022254091,0.000088851695,0.00016744754,0.00015675995,0.0000056191743],"category_scores_gemma":[0.00028407798,0.00027992367,0.00010078586,0.00029043684,0.00005622983,0.00017673518,0.00008918497,0.0005794763,8.5655165e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006957782,0.00068862346,0.00016250367,0.000889219,0.00036867807,0.000020796211,0.00052554096,0.12309499,0.02442566,0.77614623,0.00055960246,0.072422355],"study_design_scores_gemma":[0.0021520634,0.00025643664,0.00013989881,0.0010054534,0.00007801717,0.00003054592,0.000029774677,0.7445104,0.008301457,0.2430806,0.0002109969,0.0002043239],"about_ca_topic_score_codex":0.0000010364207,"about_ca_topic_score_gemma":2.6055451e-7,"teacher_disagreement_score":0.79934824,"about_ca_system_score_codex":0.00022591597,"about_ca_system_score_gemma":0.00012056383,"threshold_uncertainty_score":0.9999653},"labels":[],"label_agreement":null},{"id":"W4408611015","doi":"10.61091/jcmcc124-42","title":"Research on intelligent language translation algorithm based on computer vision","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Translation (biology); Artificial intelligence; Natural language processing; Computer vision","score_opus":0.039676167011277234,"score_gpt":0.3801258180394575,"score_spread":0.34044965102818026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408611015","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11608758,0.00033759954,0.85080266,0.00376373,0.024919221,0.0004439571,0.0000016257968,0.000110029374,0.003533585],"genre_scores_gemma":[0.93609774,0.000016301967,0.06287326,0.00018257632,0.0007995273,0.0000025633767,0.0000013709248,0.0000130295275,0.000013636663],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974894,0.0002995758,0.00075886515,0.00029988078,0.00083817024,0.00031413062],"domain_scores_gemma":[0.995742,0.0027754346,0.00036943684,0.00042099837,0.00058345764,0.000108619715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032135833,0.0002147158,0.0004371683,0.0008784926,0.00038530555,0.0002595422,0.00087891024,0.00022982701,0.0000045237352],"category_scores_gemma":[0.00018114677,0.00018677603,0.00013137251,0.00082347577,0.0001073964,0.00016352006,0.0001781425,0.00097421434,0.000007434365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000591827,0.00089291215,0.000012468212,0.000058036218,0.000033753706,0.000018936158,0.00063725706,0.00036477362,0.000079519516,0.89063317,0.00062335975,0.106586635],"study_design_scores_gemma":[0.002574003,0.0029054864,0.00015707467,0.0008917442,0.000021718033,0.000023811981,0.00029650235,0.37073067,0.0022924584,0.61783576,0.0020377773,0.00023295896],"about_ca_topic_score_codex":0.000004605263,"about_ca_topic_score_gemma":1.6003705e-7,"teacher_disagreement_score":0.8200101,"about_ca_system_score_codex":0.00012633162,"about_ca_system_score_gemma":0.00029324665,"threshold_uncertainty_score":0.76165056},"labels":[],"label_agreement":null},{"id":"W4408611016","doi":"10.61091/jcmcc124-39","title":"Decomposition of the cartesian product of complete graphs into paths and cycles of length six","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cartesian product; Decomposition; Mathematics; Product (mathematics); Cartesian coordinate system; Combinatorics; Geometry; Chemistry","score_opus":0.006244479181035906,"score_gpt":0.22468741054367522,"score_spread":0.21844293136263931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408611016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912737,0.0010210078,0.000647688,0.000031863772,0.006384599,0.00023832351,0.000003954024,0.00001352387,0.00038534217],"genre_scores_gemma":[0.99913245,0.00004364125,0.00067576533,0.0000022327338,0.00012742807,9.638447e-7,4.515559e-7,0.000016287006,7.5173773e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980666,0.00013416848,0.0012082838,0.000109395776,0.0003308061,0.00015072245],"domain_scores_gemma":[0.9981,0.00044343446,0.00081024633,0.00023840454,0.00035317216,0.000054754313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001052924,0.00019453309,0.00078324135,0.00020685678,0.000113623886,0.000028493354,0.000298359,0.00009145669,8.395984e-7],"category_scores_gemma":[0.00014281894,0.0001526213,0.0001830469,0.00037463458,0.00017829989,0.000090918824,0.000112535476,0.00025142438,4.901753e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064460204,0.00024395308,0.0018928108,0.002315384,0.0002776252,0.0000014103422,0.00223255,0.0002801997,0.03593625,0.9554446,0.000044751916,0.0012660306],"study_design_scores_gemma":[0.0028209467,0.00040309838,0.0022796164,0.002296271,0.00024215235,0.000033935805,0.0008382529,0.005100455,0.04706929,0.9386231,0.000081962375,0.00021091836],"about_ca_topic_score_codex":0.000012382164,"about_ca_topic_score_gemma":8.9580925e-7,"teacher_disagreement_score":0.016821474,"about_ca_system_score_codex":0.000022975171,"about_ca_system_score_gemma":0.00004708333,"threshold_uncertainty_score":0.6223716},"labels":[],"label_agreement":null},{"id":"W4408611018","doi":"10.61091/jcmcc124-46","title":"Research on the mechanism of emotion expression in dance based on machine learning models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Dance; Expression (computer science); Psychology; Cognitive science; Computer science; Art; Visual arts; Epistemology; Philosophy","score_opus":0.06708100977755964,"score_gpt":0.3666984229612543,"score_spread":0.29961741318369467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408611018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95856607,0.00008832005,0.0054525486,0.0034265413,0.006726537,0.0004060938,7.9156337e-7,0.000016417602,0.025316706],"genre_scores_gemma":[0.9991282,0.000025009878,0.00038833794,0.000058738686,0.0003631014,0.0000021757899,3.3939975e-7,0.000006352289,0.00002773785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972029,0.000978146,0.0006007029,0.00012900027,0.00081728154,0.00027198193],"domain_scores_gemma":[0.9945981,0.004348799,0.00036565933,0.00012615453,0.00048403424,0.000077235796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068416004,0.00011023082,0.0003336733,0.0002733881,0.00052592513,0.00008216951,0.00032650714,0.00014760242,0.0000112703465],"category_scores_gemma":[0.0026767224,0.000075236734,0.00007871702,0.00054961,0.00017433752,0.00008242199,0.00007752561,0.00084830035,8.074453e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000933213,0.00048617928,0.000055558598,0.000049068218,0.000005301794,0.0000014889708,0.0019224376,0.0009518632,0.00012974581,0.99588794,0.000049081376,0.0003680025],"study_design_scores_gemma":[0.00095357443,0.0004944876,0.00006420951,0.0009048167,0.000008020234,3.1708524e-7,0.0020189004,0.043056324,0.0011506765,0.9510737,0.00020806902,0.000066890294],"about_ca_topic_score_codex":0.00009533232,"about_ca_topic_score_gemma":0.0000019178683,"teacher_disagreement_score":0.044814236,"about_ca_system_score_codex":0.0001321456,"about_ca_system_score_gemma":0.0002496599,"threshold_uncertainty_score":0.40450442},"labels":[],"label_agreement":null},{"id":"W4408611022","doi":"10.61091/jcmcc124-45","title":"Deep convolutional network design based on YOLO framework with efficiency enhancement method in target detection tasks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Deep learning; Convolutional neural network","score_opus":0.019974332112702307,"score_gpt":0.280031660160733,"score_spread":0.26005732804803067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408611022","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038712863,0.00004772291,0.95154643,0.00025357582,0.008484656,0.0004059215,3.5729255e-7,0.000032449458,0.0005160109],"genre_scores_gemma":[0.9485772,0.0000064851474,0.050760444,0.00019933646,0.00042211497,0.000009867253,2.8071017e-7,0.000018735233,0.0000055065393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971664,0.0005518954,0.000909223,0.00033577,0.000685552,0.00035114266],"domain_scores_gemma":[0.99543154,0.0031610483,0.0008419041,0.00021953214,0.00024068942,0.00010528037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002435359,0.00026004398,0.0005134635,0.00033821256,0.00041972092,0.00015826344,0.00029991026,0.00017568264,0.000011003274],"category_scores_gemma":[0.0015283212,0.00022215556,0.00009609176,0.0010245875,0.00009816946,0.000111312525,0.000056964553,0.00075311796,0.0000019892595],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014730527,0.0016770124,0.00010007358,0.00014668996,0.000035224264,0.000028808914,0.00047589463,0.09585245,0.00864954,0.8874866,0.00006173332,0.004012912],"study_design_scores_gemma":[0.0037633348,0.0013693813,0.000117151576,0.00057659164,0.000036081532,0.000027328433,0.0000988688,0.5344601,0.039874095,0.4192688,0.00018900176,0.00021924803],"about_ca_topic_score_codex":0.000002358991,"about_ca_topic_score_gemma":3.2715135e-7,"teacher_disagreement_score":0.90986437,"about_ca_system_score_codex":0.00024764493,"about_ca_system_score_gemma":0.00022106187,"threshold_uncertainty_score":0.9059241},"labels":[],"label_agreement":null},{"id":"W4408611023","doi":"10.61091/jcmcc124-40","title":"The p-smooth and p-golden partial fields","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"advanced mathematical theories","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics","score_opus":0.017999405448596916,"score_gpt":0.30329593609131816,"score_spread":0.28529653064272126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408611023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85293496,0.002427356,0.10629948,0.0023794672,0.024782222,0.0010486023,0.0000030168999,0.00015081109,0.009974106],"genre_scores_gemma":[0.98476565,0.00014546118,0.014110443,0.00004121192,0.00081273733,0.000004508655,1.6745774e-7,0.00003314254,0.0000867045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997381,0.00015068194,0.0013385006,0.0002073563,0.0005283592,0.00039415114],"domain_scores_gemma":[0.9914743,0.0066620708,0.00091845106,0.00035806434,0.0004351982,0.00015197413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002553578,0.00031169786,0.0008260093,0.00011922562,0.00065574626,0.00034232106,0.00046136975,0.00018820829,0.000003881876],"category_scores_gemma":[0.00441981,0.00021366809,0.00016062667,0.00028325693,0.00032262047,0.00018083554,0.00042183595,0.0006032255,9.178003e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089609115,0.00019168732,0.00003433316,0.00026239903,0.0001239163,0.000009370282,0.0007042272,0.0000020361836,0.000060454422,0.9945311,0.0006708087,0.0033200365],"study_design_scores_gemma":[0.0022008163,0.00027672274,0.000018567456,0.00045960504,0.00015386798,0.00004861822,0.00065581145,0.0010576191,0.00060026476,0.99088347,0.0034422074,0.00020245722],"about_ca_topic_score_codex":0.0000018206462,"about_ca_topic_score_gemma":5.009795e-7,"teacher_disagreement_score":0.13183069,"about_ca_system_score_codex":0.000057698708,"about_ca_system_score_gemma":0.00011986444,"threshold_uncertainty_score":0.87131315},"labels":[],"label_agreement":null},{"id":"W4408611027","doi":"10.61091/jcmcc124-43","title":"Deep learning-based crack detection method for civil engineering and its multidimensional damage assessment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Deep learning; Computer science; Artificial intelligence; Forensic engineering; Engineering","score_opus":0.0057848511333332304,"score_gpt":0.2557158740134719,"score_spread":0.24993102288013866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408611027","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25445473,0.00037019607,0.7293216,0.0000300684,0.015286135,0.00030090642,8.836868e-7,0.00008362761,0.00015186699],"genre_scores_gemma":[0.9534103,0.000019745255,0.0457756,0.000008753103,0.00073975895,0.000005611962,9.429085e-7,0.000035957266,0.0000033069382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858326,0.000043238197,0.0006654693,0.00015555015,0.00026387462,0.00028862033],"domain_scores_gemma":[0.99822986,0.0009035836,0.00026955293,0.00009398173,0.00040026556,0.00010276922],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010749977,0.00026051627,0.0005338948,0.0002502424,0.00023022575,0.000116381496,0.00012530596,0.00015830371,0.0000012992681],"category_scores_gemma":[0.00040199177,0.0002500521,0.00011798248,0.00018950326,0.000016415328,0.0001318237,0.00007287473,0.0005548402,1.7285907e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019852002,0.0002731478,0.00024274594,0.003223727,0.0006160244,0.000025425534,0.0009230251,0.46694198,0.0641847,0.44664457,0.000091453396,0.016634692],"study_design_scores_gemma":[0.0033285848,0.0002768499,0.00022481268,0.00044907286,0.00011150162,0.000017698196,0.00010768143,0.9548,0.012609753,0.02695967,0.0008850339,0.00022931187],"about_ca_topic_score_codex":0.000001268718,"about_ca_topic_score_gemma":5.2246776e-7,"teacher_disagreement_score":0.6989556,"about_ca_system_score_codex":0.00013143258,"about_ca_system_score_gemma":0.000055858884,"threshold_uncertainty_score":0.9999952},"labels":[],"label_agreement":null},{"id":"W4408611044","doi":"10.61091/jcmcc124-47","title":"Stacking numbers for eternal domination","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Global Peace and Security Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stacking; Computer science; Physics; Nuclear magnetic resonance","score_opus":0.012966865865854384,"score_gpt":0.31022082112855703,"score_spread":0.29725395526270265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408611044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92053425,0.00031290055,0.03267441,0.0011662685,0.030781172,0.00061961997,0.00000405819,0.000047995152,0.013859348],"genre_scores_gemma":[0.99409467,0.00006976411,0.004474823,0.000057844925,0.0012395377,0.0000017550316,0.0000010714538,0.0000124357575,0.000048089427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980981,0.00012257173,0.0007702134,0.00014543676,0.0005355088,0.00032820887],"domain_scores_gemma":[0.9971874,0.0010031585,0.00070463447,0.000111449255,0.0008627082,0.00013066577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027984479,0.00016253961,0.00047426607,0.00018621562,0.00067875657,0.0003406932,0.00036810196,0.00018002633,0.0000034214331],"category_scores_gemma":[0.0014069804,0.00016262749,0.00019297641,0.0003040948,0.00013226582,0.00024860728,0.000093304196,0.0002811844,5.8917635e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007176768,0.00019173046,0.0002628478,0.0001105292,0.00006941875,0.0000025465863,0.004367524,0.000014819476,0.0000610798,0.99152017,0.0005441007,0.002783469],"study_design_scores_gemma":[0.0034348674,0.00023162726,0.000061881,0.00037799546,0.00011426671,0.0000044502403,0.0041610044,0.002709501,0.000086017375,0.9684442,0.020183614,0.00019057239],"about_ca_topic_score_codex":0.00009533568,"about_ca_topic_score_gemma":0.00001940715,"teacher_disagreement_score":0.073560454,"about_ca_system_score_codex":0.00019719843,"about_ca_system_score_gemma":0.00033601362,"threshold_uncertainty_score":0.6631757},"labels":[],"label_agreement":null},{"id":"W4408611049","doi":"10.61091/jcmcc124-44","title":"A study on the design of constructivist learning environment model based on metacognitive regulation enhancement","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metacognition; Constructivist teaching methods; Constructivism (international relations); Psychology; Mathematics education; Computer science; Teaching method; Political science; Cognition; Neuroscience","score_opus":0.030667458476056172,"score_gpt":0.2894323239004717,"score_spread":0.2587648654244155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408611049","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18253942,0.000016832066,0.81329316,0.00044787207,0.00240846,0.0004238932,2.1743116e-7,0.0000139436615,0.00085620437],"genre_scores_gemma":[0.9887529,0.000002328978,0.0110826,0.000044462508,0.0000748715,0.0000066630346,2.3058155e-7,0.000008020189,0.00002793956],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99780136,0.00051293505,0.0007728274,0.00018890985,0.0005779079,0.00014608519],"domain_scores_gemma":[0.99651045,0.001873019,0.0009996211,0.0002631077,0.0003026742,0.000051161296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002511661,0.00017546375,0.00038549255,0.0002425008,0.00032645097,0.00015191529,0.0004294605,0.00005069853,0.0000062204163],"category_scores_gemma":[0.0006179815,0.00013030179,0.00013099033,0.00026241262,0.0000700266,0.00009484391,0.00012103706,0.00043496327,0.0000015009775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007259959,0.0021703232,0.00015081053,0.000033709897,0.0001360296,0.0000018395325,0.002463426,0.039891023,0.0002718,0.9535998,0.00007623518,0.0011323792],"study_design_scores_gemma":[0.0028345853,0.0027827735,0.0004992619,0.00061233906,0.00010446432,0.0000032805212,0.0014836431,0.72899574,0.0017056124,0.26077622,0.000046112553,0.00015595558],"about_ca_topic_score_codex":0.0000012060967,"about_ca_topic_score_gemma":1.4625652e-8,"teacher_disagreement_score":0.80621344,"about_ca_system_score_codex":0.00008907865,"about_ca_system_score_gemma":0.00017193901,"threshold_uncertainty_score":0.5313553},"labels":[],"label_agreement":null},{"id":"W4408611054","doi":"10.61091/jcmcc124-41","title":"Capital allocation and risk aversion strategies for optimizing multinational firms’ investment portfolios via linear programming algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Risk aversion (psychology); Linear programming; Investment (military); Capital allocation line; Business; Economics; Mathematical optimization; Computer science; Microeconomics; Financial economics; Algorithm; Finance; Mathematics; Expected utility hypothesis","score_opus":0.02494072706858487,"score_gpt":0.3200841610927241,"score_spread":0.29514343402413923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408611054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.544872,0.00036786136,0.44612262,0.00019527992,0.007483543,0.0006313433,0.000005180143,0.000028285598,0.00029392538],"genre_scores_gemma":[0.8753305,0.00022178661,0.12369812,0.000032730855,0.0006612303,0.0000068881914,0.0000054345355,0.000019418436,0.000023882396],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965405,0.00016635927,0.0016490773,0.0003360044,0.00102216,0.00028592287],"domain_scores_gemma":[0.9939405,0.0020718274,0.0019218695,0.00021490997,0.0016857822,0.00016511352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004711093,0.00027182026,0.00065591634,0.0005171715,0.0006113915,0.0006941887,0.000368463,0.00018790652,0.0000032470396],"category_scores_gemma":[0.0020620804,0.00022437323,0.00017736564,0.0005324471,0.00011592715,0.00061895576,0.00020460163,0.0003211466,8.5067984e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027728576,0.0007376164,0.001988587,0.00013904166,0.00029409252,0.000011239608,0.0052825147,0.0069216737,0.0002492901,0.91649556,0.00060888095,0.0669942],"study_design_scores_gemma":[0.0040535876,0.00058024446,0.00035633717,0.0001802801,0.00016197408,0.00003396836,0.002760815,0.28728235,0.00022543671,0.70193833,0.002189142,0.00023755687],"about_ca_topic_score_codex":0.000019739387,"about_ca_topic_score_gemma":9.3685935e-7,"teacher_disagreement_score":0.33045852,"about_ca_system_score_codex":0.000085122636,"about_ca_system_score_gemma":0.00030579313,"threshold_uncertainty_score":0.91496754},"labels":[],"label_agreement":null},{"id":"W4408655672","doi":"10.61091/jcmcc124-49","title":"A decomposition into boxes that determine the Kernel of a staircase starshaped set in \\(\\mathbb{R}^d\\)","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"advanced mathematical theories","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Kernel (algebra); Decomposition; Set (abstract data type); Mathematics; Discrete mathematics; Combinatorics; Computer science; Chemistry; Programming language","score_opus":0.025706569575954474,"score_gpt":0.33410191368070963,"score_spread":0.30839534410475516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408655672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96628636,0.00037064464,0.0283475,0.00035365482,0.0033892184,0.0006270238,0.00000402904,0.00003684187,0.0005847145],"genre_scores_gemma":[0.97312284,0.000038505448,0.026519539,0.000027861426,0.00023349027,0.0000073180368,8.670864e-7,0.000039050254,0.000010533519],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963249,0.0002817953,0.002008815,0.000245465,0.0007447172,0.00039430655],"domain_scores_gemma":[0.9912774,0.0058489987,0.0017560767,0.00046059786,0.00053860596,0.000118336015],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031554082,0.0003974331,0.0013485883,0.00037484244,0.00023512689,0.00013117216,0.00064845604,0.00019625993,0.000008063895],"category_scores_gemma":[0.0028680004,0.00029125332,0.0002612279,0.00060310995,0.00029080154,0.00028040927,0.00042487282,0.00063847116,7.276329e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002634161,0.0007907006,0.00019163455,0.0011862178,0.0001384786,0.00003366972,0.004332413,0.000017931421,0.0009577723,0.99091035,0.00008600388,0.0010914117],"study_design_scores_gemma":[0.0040273927,0.00041549662,0.000052970554,0.0016678838,0.00017531388,0.00007422944,0.0024046395,0.0034055293,0.004310723,0.9831459,0.00007664262,0.00024327467],"about_ca_topic_score_codex":0.000011980254,"about_ca_topic_score_gemma":0.000003639278,"teacher_disagreement_score":0.007764447,"about_ca_system_score_codex":0.00016581162,"about_ca_system_score_gemma":0.00019217592,"threshold_uncertainty_score":0.999954},"labels":[],"label_agreement":null},{"id":"W4408655678","doi":"10.61091/jcmcc124-50","title":"On the automorphism group of putative \\((n,r)\\)-arcs in \\(\\operatorname{PG}(2,11)\\) and \\(\\operatorname{PG}(2,13)\\)","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Finite Group Theory Research","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Group (periodic table); Combinatorics; Automorphism; Mathematics; Automorphism group; Stereochemistry; Chemistry","score_opus":0.026419082802963394,"score_gpt":0.30772777761941006,"score_spread":0.28130869481644666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408655678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906797,0.00033595457,0.0014797434,0.00071226526,0.0044571366,0.0008268961,0.000010842877,0.00003631215,0.0014611698],"genre_scores_gemma":[0.9968287,0.000047069614,0.002562942,0.00009612156,0.00035818137,0.000011133806,0.0000014384813,0.00006676022,0.000027691412],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99466336,0.0008548017,0.002244741,0.00042231355,0.001193027,0.0006217303],"domain_scores_gemma":[0.98692864,0.010041795,0.001358366,0.00057546934,0.00087893027,0.00021681823],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007050972,0.00055926666,0.0016008812,0.00070909003,0.00039559405,0.00030290583,0.0009152644,0.00032435197,0.00002015716],"category_scores_gemma":[0.005656012,0.0004138738,0.00024822442,0.001054551,0.00053461647,0.0002623147,0.0006305431,0.0014123883,0.000002294884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030609308,0.0011110881,0.0006096533,0.0005194023,0.00020199589,0.000053128497,0.0026264626,0.000018807406,0.0009894762,0.9924371,0.000630727,0.00049603067],"study_design_scores_gemma":[0.006092149,0.0010580884,0.00031221693,0.0014520091,0.0001236866,0.000057147805,0.001248959,0.004368296,0.001778081,0.98289746,0.00025095092,0.00036092693],"about_ca_topic_score_codex":0.000032968208,"about_ca_topic_score_gemma":0.000004542749,"teacher_disagreement_score":0.009539646,"about_ca_system_score_codex":0.00023108584,"about_ca_system_score_gemma":0.00032925725,"threshold_uncertainty_score":0.9998313},"labels":[],"label_agreement":null},{"id":"W4408892490","doi":"10.61091/jcmcc125-02","title":"Multi-objective optimization model and resource allocation strategy in enterprise strategic management","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Resource allocation; Business; Process management; Computer science; Resource management (computing); Management science; Knowledge management; Engineering; Distributed computing","score_opus":0.014744657958135711,"score_gpt":0.2527291834547286,"score_spread":0.2379845254965929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80874187,0.00046563864,0.16287935,0.00043273738,0.0059982557,0.0011048942,0.0000016330278,0.00008697249,0.020288637],"genre_scores_gemma":[0.9940884,0.000038875685,0.0053840117,0.00007456316,0.00036509207,0.0000050170947,0.000002676325,0.000019457519,0.000021904923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831796,0.000034743425,0.0008910762,0.00022420795,0.0003283448,0.00020367307],"domain_scores_gemma":[0.99847007,0.00014576243,0.00076471455,0.00014857845,0.00044558322,0.000025264326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000947763,0.0002255388,0.00042263916,0.00061348913,0.00017992812,0.0005697181,0.00022501036,0.00010380168,0.0000031938393],"category_scores_gemma":[0.0001205306,0.00022386074,0.000055839588,0.0006447639,0.000053113323,0.0005347728,0.00025590544,0.00026270255,7.1324223e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014423215,0.0005087524,0.00056417723,0.00043901504,0.000069033194,0.000011950504,0.00023560072,0.13813546,0.000066312256,0.8591904,0.00009893307,0.0005361529],"study_design_scores_gemma":[0.0037854144,0.00004356762,0.00014639589,0.000498583,0.00008215711,0.0000031769414,0.0017149822,0.7223572,0.000010524385,0.27112818,0.00006373497,0.00016604352],"about_ca_topic_score_codex":0.000016234255,"about_ca_topic_score_gemma":0.0000033876947,"teacher_disagreement_score":0.5880622,"about_ca_system_score_codex":0.000101223515,"about_ca_system_score_gemma":0.00006792682,"threshold_uncertainty_score":0.9128776},"labels":[],"label_agreement":null},{"id":"W4408892500","doi":"10.61091/jcmcc125-15","title":"The number of total dominating sets in binary trees","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Binary number; Mathematics; Combinatorics; Arithmetic","score_opus":0.01208407633317526,"score_gpt":0.30680075736877366,"score_spread":0.2947166810355984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97152275,0.0005365427,0.016904408,0.00036541017,0.008581463,0.00026347736,6.0886475e-7,0.000022970758,0.0018023821],"genre_scores_gemma":[0.98878175,0.000046116293,0.010984565,0.000008823011,0.00014656704,0.0000022732956,1.2831866e-7,0.0000126933555,0.000017097242],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970553,0.00028630212,0.0013433862,0.00021849676,0.0006943364,0.00040219844],"domain_scores_gemma":[0.9945481,0.0034405203,0.0009290779,0.0004169882,0.00056854,0.000096814714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037385724,0.00022310525,0.00065539795,0.00030564744,0.00033310504,0.00023536013,0.0011278571,0.00011606277,0.0000013367242],"category_scores_gemma":[0.0012036003,0.00016793645,0.00017142559,0.001071268,0.0002007966,0.00036692078,0.0008064501,0.0006144206,8.3059615e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079483056,0.0003055491,0.0013616853,0.0000973804,0.000056253106,0.000023504525,0.00074521283,0.000087017346,0.000641265,0.98870116,0.00004637651,0.007855111],"study_design_scores_gemma":[0.0031407794,0.00025260204,0.0011424907,0.0005603973,0.000016854538,0.0000710805,0.00042621588,0.024026211,0.0013046283,0.9688104,0.000085830005,0.00016251623],"about_ca_topic_score_codex":0.000006508953,"about_ca_topic_score_gemma":6.085563e-7,"teacher_disagreement_score":0.023939194,"about_ca_system_score_codex":0.00009071837,"about_ca_system_score_gemma":0.00023508372,"threshold_uncertainty_score":0.684825},"labels":[],"label_agreement":null},{"id":"W4408892502","doi":"10.61091/jcmcc125-09","title":"Analysis of travel mode selection behavior based on machine learning in context of big data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Big data; Computer science; Selection (genetic algorithm); Context (archaeology); Mode (computer interface); Data science; Machine learning; Artificial intelligence; Data mining; Human–computer interaction; Geography","score_opus":0.018127270249411794,"score_gpt":0.26269069082192587,"score_spread":0.24456342057251407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77278405,0.00019083316,0.21846257,0.000034944336,0.0066543305,0.00036377614,0.000018798604,0.00019509665,0.0012955905],"genre_scores_gemma":[0.9989029,0.00003925067,0.0009454272,0.000006282217,0.00008168842,0.0000014868505,0.000008117485,0.000013462501,0.0000013910823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841404,0.000062905165,0.00095846504,0.00012246467,0.000313238,0.00012887931],"domain_scores_gemma":[0.9988664,0.00029927475,0.00043100855,0.0002003302,0.0001626887,0.0000402955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095520844,0.0001529658,0.00070017553,0.0010310212,0.00004310099,0.000028217779,0.00030085095,0.000100746955,0.0000014343285],"category_scores_gemma":[0.00016249756,0.00015091777,0.00011513847,0.0009181627,0.00003174593,0.00007743868,0.00008170093,0.00036004838,4.7843013e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007907993,0.0049304483,0.021798268,0.0023125517,0.0032324896,0.000024260378,0.0021957054,0.17448911,0.0074353823,0.667994,0.00080242316,0.11399451],"study_design_scores_gemma":[0.002325319,0.0003612095,0.0013509081,0.0003352493,0.00067011866,0.0000010745752,0.00016687156,0.98979944,0.001677121,0.0031114214,0.00008837344,0.00011287793],"about_ca_topic_score_codex":0.00002981103,"about_ca_topic_score_gemma":0.000007776408,"teacher_disagreement_score":0.81531036,"about_ca_system_score_codex":0.00006281037,"about_ca_system_score_gemma":0.000048150076,"threshold_uncertainty_score":0.61542475},"labels":[],"label_agreement":null},{"id":"W4408892507","doi":"10.61091/jcmcc125-06","title":"A \"Travelling Salesman's Paths\" within <i>n</i>\\(\\times\\)<i>n</i> (<i>n</i>= 3, 4, 5) magic squares","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mount Saint Vincent University","keywords":"MAGIC (telescope); Physics","score_opus":0.011440890402975587,"score_gpt":0.23535434328634658,"score_spread":0.223913452883371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78451115,0.020192327,0.074778385,0.0021030768,0.09992529,0.0032937333,0.0000688805,0.0015179594,0.013609226],"genre_scores_gemma":[0.9665723,0.0007242209,0.029439094,0.00033412146,0.0019835685,0.00003441366,0.000028341896,0.0002907079,0.00059327466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9829606,0.0012851084,0.0063643134,0.0023000317,0.004325133,0.0027648436],"domain_scores_gemma":[0.98391306,0.0033864698,0.005232853,0.0026003923,0.0033220882,0.0015451105],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.009560133,0.0023500333,0.004116145,0.002149122,0.0024704712,0.0027428523,0.004790012,0.0013922196,0.000049843587],"category_scores_gemma":[0.0017676564,0.0022444907,0.0015648963,0.0036788755,0.00082541327,0.0015424752,0.0024643615,0.002463313,0.000099930985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028446032,0.0022094501,0.000045304972,0.0009207453,0.0007490417,0.0003688286,0.003268584,0.001523446,0.052786116,0.9279789,0.00786898,0.0019961896],"study_design_scores_gemma":[0.01386704,0.002273419,0.0001349829,0.00460096,0.00082515425,0.0005200552,0.00013053948,0.098129496,0.003987672,0.84560025,0.027295908,0.0026345344],"about_ca_topic_score_codex":0.000010609362,"about_ca_topic_score_gemma":0.000014291977,"teacher_disagreement_score":0.18206114,"about_ca_system_score_codex":0.00064404076,"about_ca_system_score_gemma":0.0017981037,"threshold_uncertainty_score":0.99990416},"labels":[],"label_agreement":null},{"id":"W4408892509","doi":"10.61091/jcmcc125-05","title":"The vertex-edge locating Roman domination of some graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vertex (graph theory); Combinatorics; Enhanced Data Rates for GSM Evolution; Computer science; Mathematics; Graph; Artificial intelligence","score_opus":0.011720877262077364,"score_gpt":0.2826358369886785,"score_spread":0.2709149597266011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7630462,0.0029180706,0.19796008,0.001024579,0.03188324,0.000729424,0.0000012429157,0.000085196414,0.0023519315],"genre_scores_gemma":[0.99210674,0.00009109136,0.0075591174,0.000019217941,0.00019220024,0.0000024268206,2.2322567e-7,0.000014557568,0.00001444811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970182,0.00025514708,0.0013016567,0.00022948437,0.00081309245,0.00038238123],"domain_scores_gemma":[0.9940664,0.0030707174,0.0012325136,0.00051462365,0.000995585,0.00012012615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038626564,0.00023301721,0.00060898246,0.00038432592,0.0006333098,0.0003292187,0.0015914775,0.000118156364,6.092643e-7],"category_scores_gemma":[0.0014634256,0.00017578977,0.00020790944,0.00095718243,0.00024321004,0.0005314025,0.00067197194,0.000536703,7.5187296e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051361272,0.00021101326,0.0000789515,0.00013065612,0.000092826405,0.0000056496724,0.0005389606,0.00002928897,0.00093698886,0.9871735,0.00011998272,0.010630813],"study_design_scores_gemma":[0.0023158889,0.00038746351,0.00013349367,0.00039432826,0.00003259796,0.000022563925,0.00024124369,0.016504236,0.0033844623,0.9761131,0.00032181072,0.00014884726],"about_ca_topic_score_codex":0.0000037627267,"about_ca_topic_score_gemma":2.6457633e-7,"teacher_disagreement_score":0.22906049,"about_ca_system_score_codex":0.00008469092,"about_ca_system_score_gemma":0.00024911194,"threshold_uncertainty_score":0.71684986},"labels":[],"label_agreement":null},{"id":"W4408892511","doi":"10.61091/jcmcc125-01","title":"Anomalous pattern recognition based on image recognition in food safety detection","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pattern recognition (psychology); Artificial intelligence; Food safety; Computer science; Image (mathematics); Computer vision; Biology; Food science","score_opus":0.01300222881501107,"score_gpt":0.24550135363917236,"score_spread":0.2324991248241613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892511","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22093181,0.00002892662,0.773479,0.00028004762,0.0037078888,0.00034411222,0.0000029552675,0.000089270856,0.001136004],"genre_scores_gemma":[0.9845294,0.000017275552,0.015072261,0.00009304788,0.0002611827,0.000009508712,0.0000018669535,0.000013936459,0.000001557287],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980163,0.0001372294,0.0009904903,0.00027005502,0.0003532224,0.00023271203],"domain_scores_gemma":[0.9979759,0.00051306566,0.0007134998,0.00027672472,0.00043672387,0.00008412919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012468866,0.00021723234,0.00042714376,0.0005595685,0.0002490204,0.00025396983,0.0003979784,0.00016716473,0.0000032260884],"category_scores_gemma":[0.0002374826,0.00021600717,0.00014094738,0.00076878053,0.000040232895,0.00030602235,0.00012361782,0.0004828473,0.000003593181],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028086262,0.0024492522,0.00022110462,0.0003886172,0.000093315364,0.000031168893,0.000575836,0.00008012709,0.0027310394,0.15485011,0.00012846738,0.8381701],"study_design_scores_gemma":[0.0050171167,0.002143301,0.00065365434,0.0008990387,0.000039577782,0.000044176963,0.00009411352,0.117032565,0.01919401,0.8540964,0.00038932575,0.00039670407],"about_ca_topic_score_codex":0.000009950869,"about_ca_topic_score_gemma":0.000001694992,"teacher_disagreement_score":0.8377734,"about_ca_system_score_codex":0.000180824,"about_ca_system_score_gemma":0.00010773219,"threshold_uncertainty_score":0.8808517},"labels":[],"label_agreement":null},{"id":"W4408892513","doi":"10.61091/jcmcc125-03","title":"Construction and implementation of intelligent decision support systems in the standardisation of economic management","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Decision support system; Intelligent decision support system; Process management; Computer science; Business; Engineering management; Knowledge management; Engineering; Artificial intelligence","score_opus":0.016330284080709384,"score_gpt":0.2606827581053331,"score_spread":0.2443524740246237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97628164,0.00034341656,0.012716046,0.000051194766,0.0044975,0.00034547652,0.000009293763,0.0000027640087,0.005752688],"genre_scores_gemma":[0.9980436,0.00021610728,0.001676654,0.000004528473,0.00004842463,0.0000018811838,0.0000022371748,0.0000045135207,0.000002048127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981079,0.000019375535,0.0016100375,0.0000959577,0.00007390366,0.0000928147],"domain_scores_gemma":[0.9985,0.00020675336,0.0011155546,0.00008773762,0.00006879229,0.000021180895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00192881,0.00009599515,0.00043460433,0.0003366832,0.000047735382,0.00008319959,0.00012974553,0.000051107858,0.0000053086446],"category_scores_gemma":[0.000027170001,0.00008847991,0.00005800313,0.0001237458,0.00004611808,0.00022595302,0.00004446887,0.000082042774,5.7345164e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039161714,0.00006100913,0.0062352438,0.00027945673,0.00005886437,4.6348708e-7,0.0015142878,0.00005896547,0.0000042429324,0.98329604,0.000038038594,0.008414231],"study_design_scores_gemma":[0.0036190727,0.0002673477,0.005396592,0.00031484055,0.000033300843,0.000012767665,0.006256924,0.0021700154,0.0002912206,0.9805433,0.0009722528,0.00012236914],"about_ca_topic_score_codex":0.000023363164,"about_ca_topic_score_gemma":0.0000013981636,"teacher_disagreement_score":0.021761985,"about_ca_system_score_codex":0.000095098985,"about_ca_system_score_gemma":0.000041212395,"threshold_uncertainty_score":0.3608106},"labels":[],"label_agreement":null},{"id":"W4408892514","doi":"10.61091/jcmcc125-14","title":"Optimization of BP neural network and particle swarm optimization for intelligent elderly care talent cultivation driven by innovation and market demand","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies and Applied Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Particle swarm optimization; Artificial neural network; Computer science; Artificial intelligence; Industrial engineering; Engineering; Business; Machine learning","score_opus":0.010098454289028107,"score_gpt":0.2528169452604042,"score_spread":0.2427184909713761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892514","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24865185,0.00052183715,0.74867445,0.00015341287,0.0016135661,0.00032105017,9.657867e-7,0.000031355194,0.00003150014],"genre_scores_gemma":[0.8285379,0.000087567474,0.17120707,0.000019850184,0.00012971244,0.0000038083754,0.0000024192175,0.000009990483,0.0000017070295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983597,0.000045435158,0.00091602624,0.00023064738,0.00023131228,0.00021688503],"domain_scores_gemma":[0.99766684,0.0004696357,0.0009853101,0.00015688776,0.00067282515,0.000048526977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063167705,0.00018825868,0.00042815183,0.0001355814,0.0002807688,0.00019032643,0.00026252423,0.00012315101,4.0230705e-7],"category_scores_gemma":[0.00026437698,0.0001777562,0.000046791058,0.0005758927,0.00006116129,0.00027437598,0.00032323046,0.00017906545,1.2105754e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006713607,0.00012719014,0.00033030973,0.00032865794,0.000057696052,7.865232e-7,0.00065569056,0.24013814,0.00026444986,0.73200494,0.00016740162,0.025857572],"study_design_scores_gemma":[0.0018732881,0.0005131811,0.000021909813,0.00028265748,0.000039574083,0.0000057295174,0.0004269635,0.84690875,0.0019854612,0.14771816,0.00007791373,0.00014639478],"about_ca_topic_score_codex":0.0000015058921,"about_ca_topic_score_gemma":7.423375e-8,"teacher_disagreement_score":0.60677063,"about_ca_system_score_codex":0.000057373745,"about_ca_system_score_gemma":0.000045849556,"threshold_uncertainty_score":0.7248687},"labels":[],"label_agreement":null},{"id":"W4408892517","doi":"10.61091/jcmcc125-10","title":"Pattern recognition research on big data algorithm-driven visual expression system for fine arts and philosophy integration in artistic creation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Expression (computer science); Big data; The arts; Computer science; Media arts; Artificial intelligence; Visual arts; Cognitive science; Art; Psychology; Data mining; Programming language","score_opus":0.10854619978823862,"score_gpt":0.371867822699099,"score_spread":0.26332162291086036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892517","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26816535,0.000109188906,0.7168086,0.00034521922,0.013406426,0.00062802655,0.000010033527,0.000039409235,0.00048773817],"genre_scores_gemma":[0.98919183,0.000012169748,0.009743014,0.000011949643,0.0010031702,0.00000864925,0.000013989623,0.000012568705,0.0000026300959],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99779904,0.00016374327,0.000858306,0.00035023753,0.0005676749,0.0002610261],"domain_scores_gemma":[0.9969826,0.0015938024,0.00044421243,0.00029511235,0.000572277,0.000112006775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00226215,0.00019033138,0.0004633973,0.00044819602,0.00023262441,0.00046504333,0.0005221743,0.00012607189,2.2770433e-7],"category_scores_gemma":[0.00058339,0.00016448388,0.000047808484,0.0004482527,0.000058783557,0.0004872716,0.00047610665,0.00037760567,0.0000012561222],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113882124,0.00079315924,0.000057090838,0.00055724,0.000031895677,0.00002220637,0.0005081022,0.000006399391,0.00041951955,0.45304206,0.00016013948,0.54428834],"study_design_scores_gemma":[0.004776928,0.0019105878,0.00012018586,0.0075157597,0.000033192537,0.000027384984,0.00039829154,0.3174096,0.0031744563,0.66427743,0.00011674587,0.0002394226],"about_ca_topic_score_codex":0.000004797686,"about_ca_topic_score_gemma":6.574598e-7,"teacher_disagreement_score":0.7210265,"about_ca_system_score_codex":0.00010902332,"about_ca_system_score_gemma":0.00010468728,"threshold_uncertainty_score":0.6707458},"labels":[],"label_agreement":null},{"id":"W4408892524","doi":"10.61091/jcmcc125-07","title":"Design of high-speed radar signal processor based on FPGA","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Field-programmable gate array; Computer science; Radar; Digital signal processor; SIGNAL (programming language); Embedded system; Computer hardware; Digital signal processing; Telecommunications","score_opus":0.00943957062302646,"score_gpt":0.22517682787398136,"score_spread":0.21573725725095488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892524","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2503836,0.00074538443,0.72391087,0.00010401215,0.021644076,0.0008480968,0.0000054177467,0.00015440903,0.002204137],"genre_scores_gemma":[0.9943071,0.000012331265,0.0050996514,0.000016310934,0.00052064465,0.0000013163382,6.551115e-7,0.00003567773,0.0000063083385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99773526,0.000096566226,0.0011797545,0.00015014116,0.0005594742,0.00027882654],"domain_scores_gemma":[0.9976265,0.0010510106,0.00056822895,0.00021008936,0.0004373942,0.00010680015],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009437751,0.00029456595,0.00095801527,0.00029132952,0.00011914301,0.000076622615,0.00032054374,0.0001599526,0.0000046441937],"category_scores_gemma":[0.00020300636,0.0002622542,0.00014138031,0.00036402704,0.000054174845,0.0001076327,0.000039557708,0.00040329798,8.769974e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001121441,0.0012555505,0.000058731785,0.0024209039,0.00062068383,0.000054105225,0.00086903875,0.33388728,0.024874046,0.6269323,0.0007158283,0.007190051],"study_design_scores_gemma":[0.012457364,0.0014277117,0.000038459046,0.0018128768,0.00021594764,0.000020916703,0.00021454906,0.5404669,0.026891515,0.41570005,0.0002779759,0.00047573948],"about_ca_topic_score_codex":0.0000028689508,"about_ca_topic_score_gemma":4.6084e-8,"teacher_disagreement_score":0.74392354,"about_ca_system_score_codex":0.00009373184,"about_ca_system_score_gemma":0.00011782374,"threshold_uncertainty_score":0.99998295},"labels":[],"label_agreement":null},{"id":"W4408892531","doi":"10.61091/jcmcc125-13","title":"The quality evaluation and development of university ideological and political teaching based on wireless network artificial intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ideology; Politics; Computer science; Quality (philosophy); Wireless network; Artificial intelligence; Wireless; Engineering management; Engineering; Political science; Telecommunications; Philosophy; Epistemology","score_opus":0.03630694947587126,"score_gpt":0.321432996369483,"score_spread":0.28512604689361176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856034,0.000018453806,0.011141068,0.0005915456,0.0013803638,0.00013697722,3.338824e-7,0.00000380471,0.0011240618],"genre_scores_gemma":[0.99453425,0.0000029293547,0.0053144707,0.00003008405,0.00011207977,4.1418107e-7,4.5884528e-7,0.0000028988618,0.0000023944203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99853605,0.0001800793,0.0005985438,0.0001106496,0.0004204183,0.0001542751],"domain_scores_gemma":[0.99781024,0.0015229222,0.00038607194,0.00008275115,0.000131681,0.00006635371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004765657,0.00009425859,0.00021433491,0.000042794418,0.0005961215,0.00005669471,0.00013566967,0.00006273774,0.000004466952],"category_scores_gemma":[0.0008191166,0.000066578585,0.000027451582,0.00015474578,0.00020643354,0.00007071435,0.00015083037,0.00024884142,2.5251936e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006371688,0.00016998696,0.0021840923,0.000019852476,0.000013382899,2.700651e-7,0.00021036762,0.00017674528,0.000074453754,0.9792617,0.000019690578,0.017805716],"study_design_scores_gemma":[0.0005470566,0.00021561772,0.016624196,0.00017057461,0.000033704408,0.0000029464752,0.001074266,0.03511515,0.00031079506,0.9454152,0.00037694408,0.00011355923],"about_ca_topic_score_codex":0.000013654572,"about_ca_topic_score_gemma":0.0000022343122,"teacher_disagreement_score":0.034938406,"about_ca_system_score_codex":0.00013520253,"about_ca_system_score_gemma":0.00013731665,"threshold_uncertainty_score":0.45849445},"labels":[],"label_agreement":null},{"id":"W4408892534","doi":"10.61091/jcmcc125-04","title":"Application and exploration in intelligent recruitment in personnel management system of universities based on big data models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Zhejiang A and F University; East China Normal University","keywords":"Big data; Knowledge management; Engineering management; Business; Human resource management; Process management; Computer science; Data science; Engineering; Data mining","score_opus":0.07084175789532399,"score_gpt":0.27417854937278396,"score_spread":0.20333679147745998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8685945,0.00014718183,0.11936373,0.0010900858,0.0046957834,0.0010556981,0.000003603279,0.000043854947,0.0050055655],"genre_scores_gemma":[0.99874985,0.00002013898,0.0009849571,0.000043270633,0.00017894285,0.000005486986,0.0000063382313,0.000008531728,0.0000024535739],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987447,0.000021845852,0.0007050886,0.00017041244,0.00023118364,0.0001267281],"domain_scores_gemma":[0.99879104,0.00015666526,0.00059317757,0.0002578897,0.00019257143,0.00000866453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011867062,0.00013266267,0.0003657029,0.0009928086,0.00008070432,0.00006491262,0.0003203736,0.00008965878,2.9050767e-7],"category_scores_gemma":[0.000034893972,0.00013359924,0.000029051973,0.0007217891,0.000056895806,0.00039629076,0.00029808359,0.00020964495,3.562668e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007087716,0.00035747647,0.0004226845,0.0007009678,0.000029604236,0.0000060316943,0.00022077742,0.000866126,0.000018390077,0.99082685,0.00004289742,0.0064372993],"study_design_scores_gemma":[0.0040915133,0.00009324015,0.00023988527,0.0020540766,0.00010125004,0.000001647052,0.022416977,0.5352226,0.000052116135,0.43515754,0.00039435943,0.00017480443],"about_ca_topic_score_codex":0.00008070599,"about_ca_topic_score_gemma":0.000006785981,"teacher_disagreement_score":0.5556693,"about_ca_system_score_codex":0.000120198434,"about_ca_system_score_gemma":0.000040119925,"threshold_uncertainty_score":0.5448019},"labels":[],"label_agreement":null},{"id":"W4408892537","doi":"10.61091/jcmcc125-12","title":"Minimum and maximum strong diameters of the Cartesian and strong products of cycles","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Polynomial and algebraic computation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cartesian product; Cartesian coordinate system; Mathematics; Geometry; Combinatorics","score_opus":0.01058884917322312,"score_gpt":0.23768347061789058,"score_spread":0.22709462144466747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768084,0.00060328556,0.015742239,0.00052070623,0.0058802366,0.00023105193,0.0000013356591,0.000011758596,0.00020097461],"genre_scores_gemma":[0.9939248,0.00002027288,0.0058417525,0.000011051398,0.00018978892,6.084028e-7,1.3383946e-7,0.000007964843,0.000003654898],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99819195,0.000117721494,0.00089694717,0.00020690329,0.00038287422,0.00020358738],"domain_scores_gemma":[0.997703,0.0005982023,0.0010237361,0.00026074992,0.00033294168,0.00008133652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009083273,0.00019280025,0.0005962695,0.00017734662,0.00016700829,0.00013000444,0.00050613564,0.000079428355,2.6433008e-7],"category_scores_gemma":[0.00034283762,0.00014577183,0.00009271463,0.00038420205,0.00019278786,0.0002309923,0.0005715334,0.00024045297,4.0119232e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003375003,0.0002209158,0.0012112497,0.00046986336,0.00011255174,0.000002374908,0.0016386777,0.000033982113,0.002415889,0.97946686,0.000058311016,0.01433558],"study_design_scores_gemma":[0.0043885647,0.0007132446,0.006391406,0.0011882571,0.000159438,0.000056293473,0.0005782662,0.026416026,0.011727471,0.94799596,0.00009377944,0.0002912824],"about_ca_topic_score_codex":0.000014447048,"about_ca_topic_score_gemma":4.6341987e-7,"teacher_disagreement_score":0.031470884,"about_ca_system_score_codex":0.000027675873,"about_ca_system_score_gemma":0.00018078845,"threshold_uncertainty_score":0.5944403},"labels":[],"label_agreement":null},{"id":"W4408892541","doi":"10.61091/jcmcc125-11","title":"On edge-disjoint Ramsey numbers of stars","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disjoint sets; Stars; Ramsey's theorem; Combinatorics; Enhanced Data Rates for GSM Evolution; Ramsey theory; Mathematics; Computer science; Astronomy; Physics; Artificial intelligence; Graph","score_opus":0.01205835339653154,"score_gpt":0.25956009225338883,"score_spread":0.24750173885685728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6386193,0.00037866505,0.31333342,0.00067330536,0.041537225,0.0005789326,0.000002631949,0.000117403695,0.0047591254],"genre_scores_gemma":[0.9667875,0.000018686756,0.032642536,0.000066735316,0.00044943692,0.0000016366956,4.4106667e-7,0.000020764835,0.000012224761],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959885,0.00024019116,0.0018728883,0.00041604543,0.0010274294,0.0004549744],"domain_scores_gemma":[0.9943402,0.0021934584,0.001517571,0.0007206747,0.0010071996,0.00022089196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027035412,0.0004057732,0.0012281899,0.00048598746,0.00024612877,0.000301354,0.0015524216,0.0002126067,0.0000055992646],"category_scores_gemma":[0.001159696,0.00036223527,0.00035982634,0.000937457,0.00017521529,0.00031658067,0.0009062491,0.0007035815,0.0000026168507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007135844,0.0010548498,0.00014708306,0.00024703762,0.00014131698,0.000020952808,0.000881008,0.00024745878,0.0002719457,0.9893238,0.00061800424,0.0069752047],"study_design_scores_gemma":[0.0040966514,0.0012574537,0.00028557278,0.0006543109,0.00006686047,0.000045821904,0.00015540567,0.030820837,0.0018814692,0.95997673,0.0004320612,0.000326795],"about_ca_topic_score_codex":0.000016052678,"about_ca_topic_score_gemma":4.20697e-7,"teacher_disagreement_score":0.32816824,"about_ca_system_score_codex":0.0001956872,"about_ca_system_score_gemma":0.0004168515,"threshold_uncertainty_score":0.99988294},"labels":[],"label_agreement":null},{"id":"W4408892552","doi":"10.61091/jcmcc125-08","title":"Digital twin technology-based three-dimensional design of the entire substation engineering infrastructure process","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Engineering design process; Engineering; Computer science; Systems engineering; Engineering drawing; Mechanical engineering; Operating system","score_opus":0.007383246681506722,"score_gpt":0.2503887046462794,"score_spread":0.24300545796477266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18232101,0.00012260133,0.8126151,0.00016437497,0.0043904046,0.00027273814,9.2475045e-7,0.00007892637,0.000033930555],"genre_scores_gemma":[0.8624977,0.0000010746111,0.137384,0.000013429729,0.00008742896,0.0000020253124,2.0100852e-7,0.000013051215,0.0000010871062],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99787956,0.00003740254,0.0009477334,0.00021549063,0.0006958578,0.00022397147],"domain_scores_gemma":[0.99672747,0.0008636894,0.0010882502,0.00041403307,0.0008518183,0.00005476401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007654912,0.00023721963,0.0005106027,0.00043557407,0.00018553602,0.00019861346,0.0012136765,0.00018084874,5.6572406e-7],"category_scores_gemma":[0.0013175114,0.00017836202,0.00013480628,0.001181619,0.00009430376,0.00037963962,0.00042923514,0.00048758523,1.6917417e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005863807,0.00030613682,0.0006415109,0.0002160829,0.000081226164,0.000011944234,0.0002160155,0.025288802,0.0014768913,0.9563634,0.00010972936,0.015229661],"study_design_scores_gemma":[0.0011602562,0.0001896704,0.00013206707,0.00090678193,0.000023946639,0.000026835285,0.000018680652,0.23416848,0.007285927,0.7558955,0.00005526119,0.00013657115],"about_ca_topic_score_codex":3.173333e-7,"about_ca_topic_score_gemma":3.135012e-8,"teacher_disagreement_score":0.6801767,"about_ca_system_score_codex":0.000088175584,"about_ca_system_score_gemma":0.0003391423,"threshold_uncertainty_score":0.7273392},"labels":[],"label_agreement":null},{"id":"W4408894138","doi":"10.61091/jcmcc125-16","title":"A combinatorial approach to evaluating employment competitiveness in university student: Integrating AHP and FKCM clustering algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Analytic hierarchy process; Computer science; Combinatorial algorithms; Operations research; Algorithm; Machine learning; Data mining; Artificial intelligence; Mathematics","score_opus":0.02083196915144155,"score_gpt":0.27480080427319903,"score_spread":0.2539688351217575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408894138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716672,0.00018791588,0.011705667,0.00024599896,0.008840476,0.0006853015,0.0000012840223,0.00009898594,0.0065672076],"genre_scores_gemma":[0.99227476,0.000018166502,0.006648227,0.00007887161,0.00093337306,0.0000031970744,0.000001735751,0.000029779538,0.000011894642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973997,0.00007714145,0.0010586599,0.00039542085,0.00062493526,0.00044417407],"domain_scores_gemma":[0.9978043,0.0004786557,0.00084149756,0.00023458918,0.0005859777,0.000055021505],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025106845,0.00038986542,0.0009757419,0.0009195446,0.0004622541,0.000577291,0.00065790437,0.0002070012,0.000002860558],"category_scores_gemma":[0.0007038198,0.0003795888,0.00012302105,0.0010330492,0.00012204479,0.0005606047,0.001384537,0.00064714707,0.0000014908356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017892006,0.00072708394,0.0063460846,0.00047063376,0.00010009572,0.000025870908,0.0008598814,0.00022876784,0.00022087179,0.98542607,0.000037587117,0.0053781094],"study_design_scores_gemma":[0.025693882,0.0010503619,0.013111259,0.005364701,0.0005703436,0.00005856586,0.029829854,0.13174185,0.00022487866,0.78712666,0.003586548,0.0016411125],"about_ca_topic_score_codex":0.00013385346,"about_ca_topic_score_gemma":0.0000076428,"teacher_disagreement_score":0.19829945,"about_ca_system_score_codex":0.0002220364,"about_ca_system_score_gemma":0.00010258088,"threshold_uncertainty_score":0.9998656},"labels":[],"label_agreement":null},{"id":"W4408926592","doi":"10.61091/jcmcc125-20","title":"Reinforcement learning-based business model construction and analysis of the sports industry","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Reinforcement; Computer science; Knowledge management; Engineering; Artificial intelligence; Structural engineering","score_opus":0.010306494193431047,"score_gpt":0.23355696457261513,"score_spread":0.22325047037918408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408926592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97737354,0.00004795226,0.016592052,0.000232892,0.004426397,0.0001666922,3.4759353e-7,0.000014596002,0.0011455285],"genre_scores_gemma":[0.999124,0.00000680717,0.0004733033,0.000083408755,0.00028871652,7.689689e-7,0.0000021561334,0.000009151342,0.000011676578],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984282,0.00002033531,0.00080976024,0.0001253879,0.0004761275,0.00014013916],"domain_scores_gemma":[0.9976438,0.00013217037,0.0013742294,0.00013549102,0.0006958836,0.000018412911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008550027,0.00016286867,0.000512836,0.00055488496,0.00025477982,0.00018378139,0.00017572589,0.00014327274,0.000006374026],"category_scores_gemma":[0.0002972085,0.00012641297,0.0001401663,0.0014084785,0.00010492227,0.0002525167,0.00017073074,0.00038336,1.0532204e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015815657,0.00029715087,0.04421482,0.00070374267,0.00056674425,0.0000029926684,0.0002786639,0.10639267,0.00042556666,0.8440551,0.00012273705,0.0027816223],"study_design_scores_gemma":[0.003912989,0.000041332994,0.011471354,0.00060383446,0.0022351984,0.000004339208,0.00061940606,0.83918285,0.00029559107,0.14108454,0.00031296688,0.00023560955],"about_ca_topic_score_codex":0.000021104948,"about_ca_topic_score_gemma":6.702445e-7,"teacher_disagreement_score":0.7327902,"about_ca_system_score_codex":0.00004164017,"about_ca_system_score_gemma":0.00010560947,"threshold_uncertainty_score":0.51549715},"labels":[],"label_agreement":null},{"id":"W4408926623","doi":"10.61091/jcmcc125-18","title":"On \\(H\\)-irregularity strength of comb and edge comb product of graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Product (mathematics); Combinatorics; Mathematics; Materials science; Computer science; Geometry; Telecommunications","score_opus":0.010622557712800287,"score_gpt":0.2443413991601279,"score_spread":0.2337188414473276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408926623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98279226,0.0010875354,0.00525519,0.00028522612,0.009555267,0.00028652605,0.0000024069282,0.000035059533,0.0007005029],"genre_scores_gemma":[0.9898423,0.0000588649,0.01000696,0.000025827752,0.00004677202,8.523522e-7,4.9207176e-7,0.0000124847475,0.0000054591337],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997068,0.00017384507,0.0014873182,0.00031008074,0.0006837502,0.0002770399],"domain_scores_gemma":[0.9958505,0.0010832888,0.0014835582,0.0005143573,0.00092104916,0.00014725182],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021505426,0.0002912594,0.0010518776,0.00051302003,0.0001981166,0.0001224419,0.0007170211,0.00013737447,0.0000010816697],"category_scores_gemma":[0.0006238607,0.00024956535,0.0001903431,0.00075548724,0.00024724682,0.00019815734,0.0004576096,0.0004585626,2.2629618e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065802815,0.0009898143,0.00038301077,0.0004502648,0.00013324078,0.0000047775234,0.0005328348,0.000026627047,0.0012464694,0.99316645,0.00026217516,0.002738542],"study_design_scores_gemma":[0.003979316,0.0010561157,0.00034991017,0.0010411921,0.000084752035,0.000024258865,0.000073460986,0.0053440984,0.009194156,0.9785827,0.000068888796,0.00020118029],"about_ca_topic_score_codex":0.000014537511,"about_ca_topic_score_gemma":2.409877e-7,"teacher_disagreement_score":0.01458377,"about_ca_system_score_codex":0.000024614415,"about_ca_system_score_gemma":0.0001919368,"threshold_uncertainty_score":0.99999565},"labels":[],"label_agreement":null},{"id":"W4408926649","doi":"10.61091/jcmcc125-21","title":"Research on the application of virtual simulation technology in the protection and inheritance of intangible cultural heritage–taking chinese language and writing as an example","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inheritance (genetic algorithm); Intangible cultural heritage; Computer science; Cultural heritage; History; Archaeology","score_opus":0.04607815890309629,"score_gpt":0.3612764026657474,"score_spread":0.3151982437626511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408926649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99783,0.0001223785,0.0004044637,0.0005505375,0.00036277086,0.0003314765,1.3617665e-7,0.0000044391327,0.00039381898],"genre_scores_gemma":[0.99956036,0.000039408344,0.00022390923,0.0000075360963,0.00015746048,0.0000049942873,2.2188866e-7,0.0000040915006,0.000002023638],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99868137,0.00026045804,0.00041015333,0.000100886944,0.00042755014,0.00011958786],"domain_scores_gemma":[0.9983969,0.00092548295,0.00040002662,0.00009080641,0.0001650558,0.000021770235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037225664,0.00007674885,0.00020506546,0.00016192281,0.00034500254,0.000070255075,0.00018576496,0.00008752059,6.1429785e-7],"category_scores_gemma":[0.00037104814,0.000049596765,0.000021161846,0.0005118059,0.0002470191,0.00012339703,0.00007919405,0.00029196916,7.040828e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000542817,0.00014354131,0.002234347,0.000052323656,0.000013251076,0.0000010230066,0.022765951,0.00011438541,0.0014070036,0.96887755,0.0000020869966,0.004334245],"study_design_scores_gemma":[0.0013939847,0.0006478133,0.010108336,0.00053081673,0.000016183641,0.000006026214,0.111453936,0.007366614,0.000456754,0.86776996,0.00013491418,0.00011469094],"about_ca_topic_score_codex":0.00021081432,"about_ca_topic_score_gemma":0.000011114593,"teacher_disagreement_score":0.10110763,"about_ca_system_score_codex":0.000049578604,"about_ca_system_score_gemma":0.000046905854,"threshold_uncertainty_score":0.26535153},"labels":[],"label_agreement":null},{"id":"W4408926663","doi":"10.61091/jcmcc125-17","title":"Machine learning and combinatorial analysis-based recognition of sports activity: An investigation using SVM and KNN classifiers","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Support vector machine; Artificial intelligence; Pattern recognition (psychology); Machine learning; Computer science","score_opus":0.09824008008944138,"score_gpt":0.35106266691198096,"score_spread":0.25282258682253955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408926663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983793,0.0002150521,0.012764302,0.00022581554,0.0026098,0.00024448073,0.000011267965,0.000033353528,0.000102931524],"genre_scores_gemma":[0.99362457,0.0000657248,0.0060666422,0.000015554433,0.00020149717,0.0000016152621,0.0000068981885,0.000014672711,0.0000028243114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965942,0.0002834798,0.0014486555,0.00041038962,0.0010183472,0.00024491665],"domain_scores_gemma":[0.99473166,0.0016563865,0.0021814588,0.00034586532,0.0009007604,0.00018387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043612393,0.00027340365,0.001046302,0.0010071521,0.0004785176,0.00040957096,0.00040020506,0.00028171984,0.0000056338317],"category_scores_gemma":[0.001954294,0.00023646622,0.00015456647,0.0017609634,0.00034353626,0.0003875319,0.00031459655,0.00058889424,1.7957241e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051550765,0.0009941851,0.046786904,0.00031810108,0.00064408255,0.000015717409,0.0009730599,0.00034418658,0.007835835,0.85016453,0.00008973939,0.09131817],"study_design_scores_gemma":[0.0030256743,0.00046096637,0.0020950579,0.00025833512,0.00062343077,0.000013379979,0.00077177095,0.1456159,0.0022036189,0.8445164,0.00016505727,0.00025037353],"about_ca_topic_score_codex":0.000041820284,"about_ca_topic_score_gemma":0.0000019396227,"teacher_disagreement_score":0.14527173,"about_ca_system_score_codex":0.00006299009,"about_ca_system_score_gemma":0.00019995753,"threshold_uncertainty_score":0.96428126},"labels":[],"label_agreement":null},{"id":"W4408926687","doi":"10.61091/jcmcc125-19","title":"Toughness of directed graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Mathematics; Computer science","score_opus":0.010413672147950281,"score_gpt":0.245827605892271,"score_spread":0.23541393374432074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408926687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9159411,0.0014299611,0.04934176,0.0004339667,0.029807383,0.00028858602,0.0000010835587,0.00014701019,0.0026091337],"genre_scores_gemma":[0.97452664,0.00003957156,0.025320873,0.000032235333,0.00005902217,8.2341603e-7,2.5902443e-7,0.00001073312,0.000009847145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975295,0.00011760304,0.0013046477,0.0002201772,0.0005606201,0.00026742832],"domain_scores_gemma":[0.99663824,0.00072054676,0.0011041448,0.00039003135,0.0010216257,0.00012538394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016111097,0.00022755282,0.0007807093,0.00047028137,0.00019238389,0.00016849273,0.00085303094,0.00014026432,0.0000014697086],"category_scores_gemma":[0.000484653,0.00019519287,0.0002081916,0.0010534788,0.000112146045,0.00024439578,0.0004049684,0.00033841128,5.698289e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025319603,0.0004112977,0.00021502106,0.00017626591,0.00010270341,0.00000820836,0.00048259593,0.000026004089,0.0012737395,0.99496263,0.0003495112,0.001966707],"study_design_scores_gemma":[0.002773769,0.00034385547,0.00013501935,0.0005940128,0.00006045937,0.00002957428,0.00007332375,0.009270769,0.003653468,0.9826407,0.0002503049,0.00017476798],"about_ca_topic_score_codex":0.000009913491,"about_ca_topic_score_gemma":1.2605608e-7,"teacher_disagreement_score":0.05858552,"about_ca_system_score_codex":0.000028749153,"about_ca_system_score_gemma":0.0002011924,"threshold_uncertainty_score":0.7959734},"labels":[],"label_agreement":null},{"id":"W4408962963","doi":"10.61091/jcmcc125-25","title":"Algorithmic design of a conditional value-at-risk optimization model based on implied volatility for multi-period portfolio adjustment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Econometrics; Portfolio optimization; Volatility (finance); Value at risk; Implied volatility; Economics; Period (music); Value (mathematics); Financial economics; Computer science; Mathematics; Risk management; Statistics","score_opus":0.048855825829892854,"score_gpt":0.3402111267827095,"score_spread":0.29135530095281664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408962963","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024281878,0.00010764995,0.9694101,0.00007010895,0.0050636414,0.0008161474,0.000039581064,0.000017698261,0.00019320357],"genre_scores_gemma":[0.7293265,0.000043630724,0.27026954,0.00003598294,0.0002564441,0.000009604507,0.0000105148665,0.000021804102,0.000026009415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953712,0.00030126914,0.0023399966,0.00036422515,0.0013382137,0.0002850897],"domain_scores_gemma":[0.9920502,0.0025914481,0.0029103225,0.0003883512,0.0019045959,0.00015510619],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005630773,0.00031247135,0.0009875257,0.00061488483,0.00043333136,0.00017107496,0.0005091823,0.00022178351,0.000014722838],"category_scores_gemma":[0.0031719832,0.0002568286,0.000319327,0.0006072943,0.00011090726,0.00020264431,0.0001358509,0.00027719443,6.4255744e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006456974,0.00084352243,0.00024339113,0.000041178504,0.00008253267,0.0000015685191,0.00028161833,0.8498316,0.000063375956,0.14544491,0.0006538014,0.0018668015],"study_design_scores_gemma":[0.0056324615,0.0005330922,0.00011616802,0.00010348173,0.0001268914,0.000004729914,0.00008172269,0.69816977,0.00024560993,0.294804,0.000037359823,0.00014471672],"about_ca_topic_score_codex":0.0000043224804,"about_ca_topic_score_gemma":1.2831016e-7,"teacher_disagreement_score":0.70504457,"about_ca_system_score_codex":0.00018634432,"about_ca_system_score_gemma":0.00055040844,"threshold_uncertainty_score":0.9999884},"labels":[],"label_agreement":null},{"id":"W4408962974","doi":"10.61091/jcmcc125-28","title":"Mathematical modeling and computational simulation of energy saving strategies for intelligent building systems","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Building energy simulation; Energy (signal processing); Architectural engineering; Systems engineering; Control engineering; Engineering; Energy performance; Mathematics","score_opus":0.014196879982509163,"score_gpt":0.25677729796991733,"score_spread":0.24258041798740818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408962974","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19309673,0.0005848632,0.8036858,0.000007544761,0.0022836325,0.000109428765,0.0000011108913,0.00003135099,0.00019957245],"genre_scores_gemma":[0.9800992,0.000030015519,0.019619754,0.0000031871666,0.0002189616,0.0000028032307,0.000001646457,0.000022155527,0.0000022654604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848956,0.000029169401,0.00096801546,0.000110491535,0.00024212447,0.00016064533],"domain_scores_gemma":[0.9983262,0.0008038173,0.00032338093,0.00008865,0.0004002643,0.00005767715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006364616,0.00018137779,0.00051836745,0.00022993486,0.00013097111,0.00016020033,0.00013352028,0.00012981062,0.0000010437996],"category_scores_gemma":[0.00011695598,0.00017657247,0.00008428202,0.00017700807,0.000036947644,0.00018948747,0.00006123428,0.00014589749,2.7310158e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001894947,0.00003832609,0.000003396223,0.00038483343,0.00006289699,3.0190628e-7,0.00011925874,0.5220844,0.00006403138,0.47674373,0.000005243679,0.00047461136],"study_design_scores_gemma":[0.0006114474,0.000080222555,6.6547636e-7,0.00045667618,0.00005078691,0.000006080818,0.00019049838,0.5905231,0.000076629636,0.40788832,0.000031631807,0.000083927196],"about_ca_topic_score_codex":0.0000027173219,"about_ca_topic_score_gemma":8.623701e-8,"teacher_disagreement_score":0.7870025,"about_ca_system_score_codex":0.000053525753,"about_ca_system_score_gemma":0.00006800692,"threshold_uncertainty_score":0.72004163},"labels":[],"label_agreement":null},{"id":"W4408962976","doi":"10.61091/jcmcc125-22","title":"Numerical modeling of coupling effect of plateau vortex and atmospheric circulation based on adaptive filtering and computational analysis of spatio-temporal characteristics","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Circulation (fluid dynamics); Vortex; Plateau (mathematics); Coupling (piping); Atmospheric circulation; Mechanics; Meteorology; Atmospheric sciences; Numerical modeling; Climatology; Geology; Environmental science; Aerospace engineering; Physics; Geophysics; Mathematics; Engineering; Mathematical analysis; Mechanical engineering","score_opus":0.014446561033717012,"score_gpt":0.2402888226338182,"score_spread":0.22584226160010118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408962976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9381779,0.000097208074,0.060821936,0.000009604972,0.0006669009,0.0001341087,0.0000100655925,0.000004489523,0.00007781362],"genre_scores_gemma":[0.9954764,0.0000061298965,0.004441478,0.000004928891,0.00005306155,1.8010995e-7,0.0000140093125,0.0000036097997,1.7206166e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998271,0.00010333472,0.0010040625,0.00014161825,0.00036167388,0.00011832078],"domain_scores_gemma":[0.9965633,0.0020510736,0.0009548798,0.000083969426,0.00027312303,0.00007361776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010794426,0.00015547454,0.00089242926,0.000160419,0.00011013923,0.000031304804,0.00009496218,0.00008770442,0.000011069334],"category_scores_gemma":[0.00030266543,0.00012683851,0.000114257506,0.00046296863,0.00008013141,0.00007633142,0.000024616204,0.00016512648,4.5347438e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003288245,0.00009003523,0.12770855,0.00023542656,0.0002757013,0.0000015453531,0.00019382611,0.8518442,0.00002834689,0.018444864,3.1323526e-7,0.0008483664],"study_design_scores_gemma":[0.0013692727,0.0009038633,0.05342222,0.00019772886,0.0003889362,0.0000010870823,0.0000332373,0.90658545,0.000017881184,0.03699417,4.9411597e-7,0.000085630425],"about_ca_topic_score_codex":0.00005019815,"about_ca_topic_score_gemma":6.948465e-7,"teacher_disagreement_score":0.074286334,"about_ca_system_score_codex":0.000009441807,"about_ca_system_score_gemma":0.000051935276,"threshold_uncertainty_score":0.5172324},"labels":[],"label_agreement":null},{"id":"W4408962999","doi":"10.61091/jcmcc125-24","title":"GIS spatial analysis supported spatial balance assessment and optimization of compulsory education resources in rural areas","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Chongqing Municipal Education Commission","keywords":"Geography; Spatial analysis; Balance (ability); Environmental planning; Compulsory education; Environmental resource management; Regional science; Economic growth; Environmental science; Medicine; Economics; Remote sensing","score_opus":0.006657766333473455,"score_gpt":0.2729918662447275,"score_spread":0.266334099911254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408962999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3471525,0.00018601002,0.64816874,0.00017790661,0.0037741465,0.00018372473,7.5188575e-7,0.000032560598,0.000323669],"genre_scores_gemma":[0.9066023,0.00006029839,0.09317214,0.000018198769,0.0001309428,0.0000023880243,0.0000019038296,0.000008692041,0.0000031440356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763197,0.00013381962,0.0012577389,0.00025315033,0.00048122302,0.00024207484],"domain_scores_gemma":[0.9971274,0.000592643,0.0013139908,0.0003848535,0.00050495425,0.00007613067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010083765,0.00023359555,0.00086010876,0.00082769804,0.00013854456,0.00016504359,0.00070927566,0.00020708519,0.0000024817025],"category_scores_gemma":[0.0003663472,0.00022681007,0.00012433906,0.0011666734,0.00012653266,0.00027594544,0.0005545693,0.00047083895,6.2422494e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079328696,0.0011633667,0.027025977,0.00026491456,0.00041111594,0.000013019475,0.0013894207,0.012726423,0.00026419104,0.9214025,0.00003833973,0.035221394],"study_design_scores_gemma":[0.0027233707,0.00045166028,0.010523311,0.00047352954,0.00021133399,0.000017859504,0.00051518454,0.6043562,0.000417275,0.38000298,0.000046068653,0.0002611993],"about_ca_topic_score_codex":0.00013010335,"about_ca_topic_score_gemma":0.0000051512275,"teacher_disagreement_score":0.5916298,"about_ca_system_score_codex":0.00014694243,"about_ca_system_score_gemma":0.0003269619,"threshold_uncertainty_score":0.92490464},"labels":[],"label_agreement":null},{"id":"W4408963018","doi":"10.61091/jcmcc125-23","title":"Modeling the correlation between real exchange rate, global trade balance and population aging based on multiple regression analysis of international political economy","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Management Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Balance of trade; Economics; Exchange rate; Balance (ability); Regression analysis; Regression; Correlation; Population; Econometrics; Politics; Population ageing; International economics; Monetary economics; Statistics; Mathematics; Political science; Psychology; Demography; Sociology","score_opus":0.025841011627118618,"score_gpt":0.26330940864384283,"score_spread":0.23746839701672423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408963018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92071795,0.00039791001,0.057647977,0.003589694,0.006061616,0.00033773933,0.000019430028,0.00002002744,0.011207635],"genre_scores_gemma":[0.99909675,0.000064064516,0.0005273933,0.00005057808,0.00023827511,0.000001561614,0.000010753457,0.0000062071085,0.0000044099693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985679,0.000042319483,0.00094802794,0.00017286111,0.00011170283,0.0001572011],"domain_scores_gemma":[0.9983836,0.0006162521,0.00074667565,0.000111759044,0.0000942538,0.000047501508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011942051,0.00014748442,0.00059770007,0.00035704905,0.00018811102,0.000095239535,0.00015811356,0.00007503691,0.0000016657488],"category_scores_gemma":[0.00027962463,0.00012392574,0.00013246025,0.0003711619,0.000042265616,0.0001367235,0.00011082464,0.00014761693,2.020225e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003824463,0.00007338516,0.16680953,0.00006342769,0.00037478516,7.6847806e-7,0.00012280751,0.0020928916,6.9573866e-7,0.8301998,0.0000413616,0.00018231096],"study_design_scores_gemma":[0.0014231227,0.000056822628,0.07320791,0.00017004447,0.00015005452,4.4297272e-7,0.00011420846,0.559837,0.0000032305736,0.36477184,0.00016803505,0.000097313015],"about_ca_topic_score_codex":0.000045542798,"about_ca_topic_score_gemma":0.0000010561736,"teacher_disagreement_score":0.5577441,"about_ca_system_score_codex":0.00013489916,"about_ca_system_score_gemma":0.000019897201,"threshold_uncertainty_score":0.5053545},"labels":[],"label_agreement":null},{"id":"W4408963024","doi":"10.61091/jcmcc125-26","title":"Research on balancing strategies between modularization and personalization in prefabricated building design and simulation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Modular programming; Personalization; Architectural engineering; Computer science; Mass customization; Engineering; Systems engineering; World Wide Web; Programming language","score_opus":0.02725382913677415,"score_gpt":0.30521743382505206,"score_spread":0.2779636046882779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408963024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6719801,0.00022284825,0.3262648,0.00002617105,0.0011771239,0.0001621191,2.7523618e-7,0.000023137696,0.00014341748],"genre_scores_gemma":[0.9958368,0.000048993268,0.0038781255,0.0000026857635,0.0002165989,0.000001593294,9.2359875e-7,0.000013212012,0.0000010483514],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987636,0.00014065066,0.0005346275,0.0001246037,0.00028308996,0.00015342032],"domain_scores_gemma":[0.9985947,0.000848687,0.0001515146,0.00006535538,0.00028980154,0.000049953243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014071233,0.0001332773,0.00029427084,0.00048220617,0.00016798881,0.000262344,0.00007252463,0.00013927667,6.412335e-7],"category_scores_gemma":[0.00017323242,0.00012999872,0.000021154518,0.00046343365,0.000050852286,0.000253464,0.000036715206,0.00037847302,7.9404245e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051829542,0.000056712302,0.001536531,0.00036858837,0.000060793347,0.0000022418003,0.0012957754,0.119953476,0.0021674174,0.8661935,0.000014769722,0.008298369],"study_design_scores_gemma":[0.0011984098,0.0001579559,0.0018179936,0.0005596605,0.00002382113,0.000004587599,0.0007169871,0.683572,0.00055047945,0.31127775,0.00002087243,0.000099502824],"about_ca_topic_score_codex":0.000005102098,"about_ca_topic_score_gemma":2.1496666e-7,"teacher_disagreement_score":0.5636185,"about_ca_system_score_codex":0.00010795898,"about_ca_system_score_gemma":0.000056999015,"threshold_uncertainty_score":0.5301194},"labels":[],"label_agreement":null},{"id":"W4408963032","doi":"10.61091/jcmcc125-27","title":"Research on cost control and resource optimisation in supply chain link based on combination prediction model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Link (geometry); Supply chain; Resource (disambiguation); Computer science; Control (management); Operations research; Reliability engineering; Industrial engineering; Engineering; Business; Artificial intelligence; Computer network; Marketing","score_opus":0.018884067127456366,"score_gpt":0.28275787684024184,"score_spread":0.26387380971278546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408963032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95822453,0.00009956812,0.016347097,0.0052841865,0.00846317,0.0017794576,0.00000834604,0.00008807273,0.0097055575],"genre_scores_gemma":[0.9981264,0.000008128862,0.000283238,0.00029234577,0.0012385008,0.000014344651,0.00000769287,0.000018718816,0.0000106677135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974302,0.00013124212,0.0010278546,0.00026646216,0.00086157897,0.00028267616],"domain_scores_gemma":[0.99666554,0.0014843133,0.000708135,0.00018515135,0.00091962033,0.000037227965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042886515,0.00023246711,0.00047858807,0.0011508903,0.00036953983,0.0005925669,0.00024611535,0.0001805654,0.0000034284442],"category_scores_gemma":[0.0011928257,0.0002094856,0.00006580278,0.0009857336,0.000076234355,0.0003731014,0.00012039109,0.00068784744,0.0000016381429],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009175562,0.0009461464,0.0019159997,0.0003000667,0.000033151086,0.000008823257,0.00016078094,0.07107147,0.00016925526,0.9180421,0.0013860589,0.005048587],"study_design_scores_gemma":[0.008262382,0.0003383122,0.0009647761,0.0010816773,0.00003920181,0.00000127561,0.0002805836,0.771445,0.000052367013,0.21637984,0.0010057724,0.00014884616],"about_ca_topic_score_codex":0.000017762708,"about_ca_topic_score_gemma":0.0000023139285,"teacher_disagreement_score":0.70166224,"about_ca_system_score_codex":0.00022294621,"about_ca_system_score_gemma":0.000119264594,"threshold_uncertainty_score":0.85425746},"labels":[],"label_agreement":null},{"id":"W4409189926","doi":"10.61091/jcmcc122-20","title":"Maxima of the \\(A_\\alpha\\)-spectral Radius of Graphs with Given Size and Minimum Degree \\(\\delta \\ge 2\\)","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Degree (music); Maxima; RADIUS; Combinatorics; Mathematics; Spectral radius; Delta; Alpha (finance); Physics; Statistics; Computer science; Quantum mechanics; History","score_opus":0.02121282106012115,"score_gpt":0.26386682354377505,"score_spread":0.2426540024836539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409189926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99430823,0.00060325844,0.0006335148,0.00023160192,0.0027531607,0.00039323902,0.000012911942,0.000028583467,0.0010354836],"genre_scores_gemma":[0.99433476,0.00004501007,0.0052442024,0.000007634361,0.00031171693,0.000003010525,3.2596176e-7,0.000042455682,0.000010859175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99743223,0.00014082846,0.0012155387,0.00021703515,0.00072595885,0.0002684284],"domain_scores_gemma":[0.99531835,0.0026464243,0.0011077784,0.00032013768,0.00047673745,0.00013059229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017528149,0.0003011377,0.0008586242,0.00016654095,0.00020000507,0.00011041737,0.00047645916,0.00014561135,0.000007146604],"category_scores_gemma":[0.0005735662,0.00019939592,0.00027321896,0.00057649077,0.00037486313,0.00014780744,0.00019580599,0.00050055963,2.8445626e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011326215,0.0004300657,0.00016524846,0.00088749256,0.000267834,0.000009511653,0.0016436033,0.0000026738367,0.002331486,0.9935347,0.00024967766,0.00036445487],"study_design_scores_gemma":[0.0022344675,0.00070575794,0.00025743898,0.0012140933,0.00033992913,0.0002257238,0.0004686538,0.00058193237,0.0038814351,0.98967725,0.00020389578,0.00020944812],"about_ca_topic_score_codex":0.000006326643,"about_ca_topic_score_gemma":8.709382e-7,"teacher_disagreement_score":0.0046106875,"about_ca_system_score_codex":0.000035955196,"about_ca_system_score_gemma":0.0001940419,"threshold_uncertainty_score":0.813113},"labels":[],"label_agreement":null},{"id":"W4409189954","doi":"10.61091/jcmcc119-20a","title":"An Integrated Approach for Accurate 3D Point Cloud Recognition of Substation Equipment Using PSO and kNN Classification","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"State Grid Shandong Electric Power Company; Science and Technology Project of State Grid","keywords":"Point cloud; Computer science; Cloud computing; Artificial intelligence; Pattern recognition (psychology); Point (geometry); Mathematics; Operating system; Geometry","score_opus":0.06154099267742646,"score_gpt":0.2857938940675202,"score_spread":0.22425290139009374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409189954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9445699,0.00045209256,0.0495802,0.000017677998,0.0049602953,0.00026841855,0.000024121415,0.000023960763,0.00010336748],"genre_scores_gemma":[0.97416395,0.000045587985,0.025141357,0.000004526379,0.00057675084,5.5748643e-7,0.00005675954,0.000009204484,0.0000012898847],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844736,0.00014528075,0.000752338,0.00018162275,0.00029738696,0.00017601956],"domain_scores_gemma":[0.9984685,0.00043259296,0.0005126034,0.00008396558,0.00038833622,0.00011396683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019578775,0.00016773808,0.0003792462,0.00012258525,0.0001811857,0.00027817336,0.00012151924,0.00010902248,0.000008614499],"category_scores_gemma":[0.0001499272,0.00012970985,0.00007500349,0.0002232937,0.000060382223,0.00039881864,0.000011971949,0.00021225352,4.4347036e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027738216,0.002288038,0.010477233,0.00927029,0.0010287216,0.0000516951,0.03035134,0.005685966,0.027608788,0.28816837,0.0004401033,0.6218556],"study_design_scores_gemma":[0.0016482024,0.0012146023,0.0012264648,0.00055604114,0.00015220998,0.00008070326,0.0025207596,0.8767954,0.00053640764,0.114943326,0.00006647856,0.0002593887],"about_ca_topic_score_codex":0.000047543985,"about_ca_topic_score_gemma":0.0000019463484,"teacher_disagreement_score":0.8711094,"about_ca_system_score_codex":0.00002067657,"about_ca_system_score_gemma":0.000086356995,"threshold_uncertainty_score":0.5289414},"labels":[],"label_agreement":null},{"id":"W4409570863","doi":"10.61091/jcmcc127a-001","title":"Research on the Evolution Mechanism of Street Morphology in Ongi Village Based on Spatial Syntax and Genetic Algorithm Optimisation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Morphology (biology); Syntax; Space syntax; Computer science; Algorithm; Geography; Evolutionary biology; Artificial intelligence; Biology; Zoology; Epistemology; Space (punctuation); Philosophy","score_opus":0.01876268752321733,"score_gpt":0.26089719377636167,"score_spread":0.24213450625314434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409570863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98874944,0.00008507827,0.0061422084,0.00024415212,0.0036044305,0.00021582822,0.0000035951894,0.0000060576467,0.00094921753],"genre_scores_gemma":[0.9973801,0.000025171345,0.0022987272,0.000025924932,0.00026169236,1.3727151e-7,0.0000013799917,0.0000048365937,0.0000020817713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800175,0.00043251985,0.0006109273,0.0001690545,0.0005551581,0.00023058153],"domain_scores_gemma":[0.9969793,0.0021905582,0.00035631572,0.00016960377,0.00023607467,0.00006813353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023464302,0.00014687792,0.00037604797,0.00040643927,0.00021982397,0.00007918477,0.0001950564,0.00013810722,0.000009147117],"category_scores_gemma":[0.000411418,0.00010172182,0.000058121896,0.00034260674,0.000106839376,0.00004104191,0.000031706946,0.00048633778,7.7982537e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010486572,0.001077628,0.009948255,0.000388765,0.00014838662,0.00016589949,0.0012413914,0.02580404,0.00045868868,0.871476,0.00020935788,0.08803295],"study_design_scores_gemma":[0.0025279527,0.0017553755,0.015479052,0.00067141687,0.000032066015,0.000018763429,0.00068362034,0.61557436,0.00048580073,0.3626247,0.000014511055,0.00013240484],"about_ca_topic_score_codex":0.0006611087,"about_ca_topic_score_gemma":0.000023247032,"teacher_disagreement_score":0.5897703,"about_ca_system_score_codex":0.00003497631,"about_ca_system_score_gemma":0.00014661408,"threshold_uncertainty_score":0.41480955},"labels":[],"label_agreement":null},{"id":"W4409573296","doi":"10.61091/jcmcc127a-048","title":"Research on Historical Spatial Evolution Assessment System and Protection Management Strategy of Ancient Cities Based on Spatial Data Mining Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Spatial analysis; Geography; Environmental resource management; Data science; Environmental planning; Computer science; Remote sensing; Environmental science","score_opus":0.10410409698649671,"score_gpt":0.38576951518429015,"score_spread":0.28166541819779345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8488797,0.00046591088,0.053663332,0.002325354,0.030770296,0.0026708222,0.000013525454,0.00012062645,0.06109043],"genre_scores_gemma":[0.997905,0.000015026453,0.0014282244,0.000005004314,0.0005880297,0.0000066600546,0.0000010069446,0.000011240424,0.000039814364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99612844,0.00062480674,0.0008240278,0.0003231232,0.0017454127,0.0003541879],"domain_scores_gemma":[0.997128,0.00090101385,0.00059662655,0.00039667182,0.0008644638,0.00011324012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00805509,0.00016819405,0.00051492685,0.0010541299,0.00076203054,0.00019953877,0.0006914011,0.0002163791,0.0000032843502],"category_scores_gemma":[0.0006317843,0.00016014997,0.000056393463,0.0007505215,0.00030506335,0.00014445101,0.00050277234,0.000709073,4.3330985e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002237997,0.0005334592,0.00041390554,0.0005009691,0.00007003178,0.00002439128,0.00036196315,0.000082487466,0.00004373173,0.9846772,0.00031067152,0.012757393],"study_design_scores_gemma":[0.019878158,0.011902113,0.0038865816,0.011039431,0.00036073988,0.000019031413,0.06481222,0.26290542,0.00045931747,0.60964817,0.014054185,0.0010346419],"about_ca_topic_score_codex":0.00049711496,"about_ca_topic_score_gemma":0.000011776333,"teacher_disagreement_score":0.37502903,"about_ca_system_score_codex":0.001379741,"about_ca_system_score_gemma":0.00073509075,"threshold_uncertainty_score":0.65307266},"labels":[],"label_agreement":null},{"id":"W4409573304","doi":"10.61091/jcmcc127a-042","title":"Design of arable land protection framework in the context of ecological civilisation based on hybrid optimisation algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Arable land; Context (archaeology); Ecological civilization; Civilization; Computer science; Geography; Ecology; Environmental resource management; Environmental science; Archaeology; Agriculture; Biology","score_opus":0.020703315062125735,"score_gpt":0.2325127549925768,"score_spread":0.21180943993045104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922419,0.000044062526,0.0051650302,0.0005035109,0.0015069647,0.00041654013,0.000001710185,0.0000066808543,0.00011355715],"genre_scores_gemma":[0.9975766,0.000015778083,0.0021551927,0.00004192762,0.00020204084,0.0000035236856,0.0000022286815,8.1954886e-7,0.0000018908227],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985588,0.00022723238,0.0006623112,0.00009356831,0.00033183568,0.00012624226],"domain_scores_gemma":[0.9972628,0.0017564618,0.00066038774,0.000042101005,0.0002533982,0.00002484688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015021715,0.00012545093,0.00036934833,0.000051886967,0.00012217181,0.000049797607,0.0002119486,0.00010656703,0.0000058721766],"category_scores_gemma":[0.00035277888,0.000047862053,0.0000754404,0.0003616859,0.000050362858,0.00006914027,0.00003270091,0.00024496883,1.7480549e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024644793,0.008551389,0.010962717,0.0010159478,0.00038838072,0.00003529966,0.013623375,0.012185377,0.028253296,0.64790314,0.0013081277,0.2733085],"study_design_scores_gemma":[0.004646062,0.0057375855,0.03581034,0.0022069213,0.00013335982,0.000025965843,0.00383623,0.12029778,0.018977044,0.8075467,0.00029770637,0.00048435354],"about_ca_topic_score_codex":0.000028741923,"about_ca_topic_score_gemma":0.000001120287,"teacher_disagreement_score":0.27282414,"about_ca_system_score_codex":0.000036406862,"about_ca_system_score_gemma":0.000032531232,"threshold_uncertainty_score":0.19517578},"labels":[],"label_agreement":null},{"id":"W4409573309","doi":"10.61091/jcmcc127a-046","title":"The role of machine learning techniques in optimising top management interlocking networks for green innovation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interlocking; Computer science; Engineering; Knowledge management; Manufacturing engineering; Engineering management; Artificial intelligence; Mechanical engineering","score_opus":0.015813490384696254,"score_gpt":0.2404790999767909,"score_spread":0.22466560959209464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8256211,0.0025481114,0.15742907,0.00047073414,0.004915004,0.0007418918,0.0000024976073,0.000047492962,0.008224083],"genre_scores_gemma":[0.9935251,0.00008833954,0.006191974,0.000013115131,0.00014642376,0.000005095688,0.0000012535518,0.000010806405,0.000017874343],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980676,0.000017561604,0.0015600058,0.00013508771,0.000047012945,0.00017271386],"domain_scores_gemma":[0.9978004,0.00038374652,0.0014877762,0.00011760557,0.00019568193,0.000014752667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024724253,0.00012268075,0.0004692584,0.00044140188,0.00017472162,0.00008944399,0.0002697915,0.00012556528,0.0000010496218],"category_scores_gemma":[0.00032980772,0.00011054423,0.00007416733,0.00057413126,0.00005081114,0.00010554092,0.00015637277,0.000331298,1.3233594e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043106458,0.000089245426,0.0030661155,0.00007265397,0.00005926094,5.099412e-7,0.00010375639,0.00010461978,0.000038983184,0.97442174,0.000006816132,0.021993171],"study_design_scores_gemma":[0.0010715625,0.00019045373,0.00013353628,0.00025585864,0.000010820399,0.0000019380186,0.00027723264,0.052972693,0.0008380809,0.94109887,0.0030526025,0.00009636598],"about_ca_topic_score_codex":0.00001702203,"about_ca_topic_score_gemma":5.5644756e-7,"teacher_disagreement_score":0.167904,"about_ca_system_score_codex":0.00009421271,"about_ca_system_score_gemma":0.000013346748,"threshold_uncertainty_score":0.45078626},"labels":[],"label_agreement":null},{"id":"W4409573311","doi":"10.61091/jcmcc127a-050","title":"Adoption Decision-making and the Evolution of Consumer Rights Protection Behaviour in Sharing Economy Platforms Based on Blockchain Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Young Scientists Fund; Natural Science Foundation for Young Scientists of Shanxi Province; National Natural Science Foundation of China","keywords":"Blockchain; Sharing economy; Business; Consumer protection; Commerce; Industrial organization; Computer security; Computer science; Political science; Law","score_opus":0.009286088959837244,"score_gpt":0.25133509636470197,"score_spread":0.24204900740486474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894549,0.00016089242,0.00604655,0.0003296723,0.0023113622,0.0004183391,1.7315995e-7,0.000009799237,0.0012682886],"genre_scores_gemma":[0.998752,0.000017116361,0.0010911851,0.000009083317,0.000116283976,0.0000051635425,1.0004636e-7,0.000005210345,0.0000038603484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998628,0.000057624176,0.00069096085,0.0001368279,0.00032288954,0.00016367844],"domain_scores_gemma":[0.9984785,0.0006506586,0.00060092023,0.000101977945,0.00013245296,0.000035504174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002500161,0.00012254085,0.00037041734,0.0004247146,0.00039495277,0.00006848643,0.00020461508,0.00015640652,0.0000019613938],"category_scores_gemma":[0.00036153544,0.00009016215,0.00006395571,0.00035566604,0.000262067,0.00008158975,0.000093552204,0.00030163888,2.5245564e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000245604,0.00016577804,0.004630321,0.00003685494,0.000022222954,0.000002214635,0.00087838597,0.00036564012,0.000008905606,0.991649,0.000008065793,0.0019870282],"study_design_scores_gemma":[0.0037493538,0.00012049067,0.0013670278,0.0009937366,0.00003324875,0.0000033398142,0.0011288057,0.016690617,0.000036067486,0.97562927,0.00015327756,0.00009474519],"about_ca_topic_score_codex":0.000065892855,"about_ca_topic_score_gemma":0.00001040149,"teacher_disagreement_score":0.016324976,"about_ca_system_score_codex":0.0002931126,"about_ca_system_score_gemma":0.00013771697,"threshold_uncertainty_score":0.3676706},"labels":[],"label_agreement":null},{"id":"W4409573314","doi":"10.61091/jcmcc127a-049","title":"Multiple regression-based correlation between abdominal aortic calcification and paravertebral muscle degeneration","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Calcification; Degeneration (medical); Correlation; Regression; Medicine; Anatomy; Radiology; Pathology; Mathematics; Statistics; Geometry","score_opus":0.016768725426899528,"score_gpt":0.28470237520241626,"score_spread":0.2679336497755167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96549493,0.00019934685,0.030657547,0.00029273177,0.0027733748,0.0003927757,0.0000013410049,0.000030859508,0.0001571039],"genre_scores_gemma":[0.9916318,0.000012399721,0.0077879434,0.000032660282,0.0004873295,0.00000305692,0.000009329364,0.00001946596,0.000015998205],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979958,0.00009908608,0.0010424078,0.00021150365,0.0004478509,0.00020336204],"domain_scores_gemma":[0.99764127,0.00075534865,0.0008120025,0.00019951593,0.0004213275,0.00017051319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007398149,0.00022781837,0.0006446128,0.00022340602,0.0002651475,0.000085478976,0.000077405995,0.00018198582,0.0000034301959],"category_scores_gemma":[0.00080819515,0.00018750489,0.000118539836,0.0002342292,0.00008798946,0.00012425768,0.000061328436,0.00031725178,0.0000011607856],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022592475,0.004750633,0.6421224,0.002511607,0.0011390453,0.00024394068,0.0030017174,0.0003570116,0.015592493,0.24512558,0.0012854311,0.081610925],"study_design_scores_gemma":[0.042231776,0.0035095534,0.18538947,0.0038913928,0.0027024264,0.00024826545,0.0007193095,0.56603473,0.011453044,0.18268783,0.00037467454,0.0007575347],"about_ca_topic_score_codex":0.000008642972,"about_ca_topic_score_gemma":2.1760157e-7,"teacher_disagreement_score":0.5656777,"about_ca_system_score_codex":0.00014003612,"about_ca_system_score_gemma":0.0002436572,"threshold_uncertainty_score":0.7646228},"labels":[],"label_agreement":null},{"id":"W4409573317","doi":"10.61091/jcmcc127a-040","title":"A study of human skeletal joint posture and movement recognition based on graph neural networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Joint (building); Computer science; Movement (music); Artificial neural network; Artificial intelligence; Physical medicine and rehabilitation; Neuroscience; Psychology; Medicine; Engineering; Art","score_opus":0.012324673479511267,"score_gpt":0.24472175730363746,"score_spread":0.2323970838241262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913561,0.00018440394,0.0039620735,0.000052096228,0.00393271,0.00018974344,8.7617633e-7,0.00003107473,0.0002909379],"genre_scores_gemma":[0.9993197,0.00001352875,0.0002767866,0.000033717355,0.00033488963,0.0000015569415,0.0000015001579,0.000017163831,0.00000118941],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982744,0.00008695089,0.00090202235,0.00013479427,0.00041602674,0.00018580728],"domain_scores_gemma":[0.99889094,0.00027127145,0.0003612702,0.00014605784,0.00021869398,0.00011179522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008536525,0.00021325127,0.00066355016,0.00030938603,0.00014601235,0.000089917725,0.00013527929,0.00009265543,0.0000027746826],"category_scores_gemma":[0.00013564977,0.0001834873,0.00012595949,0.00031762366,0.000048826914,0.00005804205,0.00006308766,0.00047956442,8.526662e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008533086,0.041798297,0.024192505,0.012004464,0.010414289,0.0008125505,0.020745825,0.2307476,0.0202291,0.45388493,0.006029853,0.17828728],"study_design_scores_gemma":[0.010815344,0.0025062764,0.0013620309,0.0014107274,0.0006170722,0.000010524415,0.0015066498,0.804608,0.0006011003,0.1761535,0.00001415232,0.00039461977],"about_ca_topic_score_codex":0.0000076458255,"about_ca_topic_score_gemma":3.5068348e-7,"teacher_disagreement_score":0.5738604,"about_ca_system_score_codex":0.00003441702,"about_ca_system_score_gemma":0.000017159424,"threshold_uncertainty_score":0.74823946},"labels":[],"label_agreement":null},{"id":"W4409573322","doi":"10.61091/jcmcc127a-045","title":"An engineering control design approach based on high-dimensional data analysis in closed-loop systems for industrial networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Closed loop; Industrial control system; Loop (graph theory); Control (management); Control engineering; Systems engineering; Industrial engineering; Engineering; Mathematics; Artificial intelligence","score_opus":0.018187029997492415,"score_gpt":0.23802102266467565,"score_spread":0.21983399266718323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573322","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01350665,0.00033060304,0.9721338,0.000016910122,0.013017982,0.00088400807,0.000012950271,0.00007261486,0.000024461271],"genre_scores_gemma":[0.9733104,0.0000061675773,0.025425669,0.000011942661,0.0011526427,0.00001614591,0.00002860808,0.00004738798,0.0000010095415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972814,0.00017571678,0.001427123,0.00031009738,0.00043713805,0.00036853334],"domain_scores_gemma":[0.996722,0.0017211324,0.0005229397,0.0005157158,0.0003819956,0.00013623519],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002988385,0.00034749415,0.0012200419,0.0007381812,0.000117232754,0.00023047069,0.00056950224,0.00030759725,5.349367e-7],"category_scores_gemma":[0.0006262601,0.0003390881,0.00012794277,0.0008928379,0.00002126094,0.0002745384,0.000053799464,0.0005288226,9.353574e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002490879,0.00026685794,0.00006306383,0.00014037633,0.00044387256,0.000004344801,0.00002576373,0.9421868,0.000062433595,0.05605438,0.00010556104,0.0003975163],"study_design_scores_gemma":[0.011141724,0.00034065216,0.000025070161,0.00036090575,0.00050914194,0.0000033160572,0.00003413233,0.98323476,0.000018117149,0.004026185,0.000035550005,0.00027042703],"about_ca_topic_score_codex":0.000009277893,"about_ca_topic_score_gemma":2.3321489e-7,"teacher_disagreement_score":0.95980376,"about_ca_system_score_codex":0.00020586253,"about_ca_system_score_gemma":0.00011560992,"threshold_uncertainty_score":0.9999061},"labels":[],"label_agreement":null},{"id":"W4409573326","doi":"10.61091/jcmcc127a-039","title":"Study on the Path of Digital Transformation of Manufacturing Industry and the Strategy to Eliminate “Digital Divide” under the Regional Integration of Yangtze River Delta","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"Yangtze river; Delta; Path (computing); Transformation (genetics); Digital transformation; Computer science; Business; Telecommunications; Geography; China; Engineering; Computer network; World Wide Web","score_opus":0.026834262730233434,"score_gpt":0.2580806620817562,"score_spread":0.23124639935152275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993632,0.000022795251,0.0015800417,0.0026360094,0.0008129924,0.00044275267,0.0000028152276,0.0000084203275,0.0008621257],"genre_scores_gemma":[0.9996923,0.0000032568655,0.00002010822,0.00008235854,0.00018580175,0.0000029696446,0.0000016648187,0.000008645524,0.0000028961817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99843895,0.000031899133,0.0009191284,0.00009490049,0.00039411298,0.00012102579],"domain_scores_gemma":[0.99747163,0.000813281,0.0010283209,0.00019645413,0.0004806725,0.000009649796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012364525,0.0001601459,0.00039775055,0.00023925431,0.00023166995,0.00021642543,0.00037915423,0.00011297366,0.0000013356711],"category_scores_gemma":[0.00029095565,0.00008569484,0.000094603616,0.00043868375,0.00030337856,0.0004251314,0.00018359166,0.00048354178,2.8544414e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013983418,0.0003613051,0.00048897724,0.000079785204,0.00013743037,6.541333e-7,0.0013191411,0.000057292615,0.000046355406,0.9942775,0.00010896175,0.0029827892],"study_design_scores_gemma":[0.0036367155,0.0003658046,0.0043166983,0.00055216864,0.00020516208,0.000005957229,0.018306464,0.00089985714,0.00094878033,0.97055495,0.00008584351,0.000121590194],"about_ca_topic_score_codex":0.000028962337,"about_ca_topic_score_gemma":0.0000013171611,"teacher_disagreement_score":0.023722515,"about_ca_system_score_codex":0.000017113636,"about_ca_system_score_gemma":0.000038986607,"threshold_uncertainty_score":0.3494534},"labels":[],"label_agreement":null},{"id":"W4409573335","doi":"10.61091/jcmcc127a-047","title":"Optimisation of the preparation process of phosphorus-containing organosilicon compounds based on molecular dynamics simulation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Inorganic and Organometallic Chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Organosilicon; Phosphorus; Molecular dynamics; Process (computing); Dynamics (music); Process engineering; Chemistry; Computer science; Materials science; Organic chemistry; Computational chemistry; Engineering; Psychology; Programming language","score_opus":0.005852914002981027,"score_gpt":0.25147618853147735,"score_spread":0.24562327452849633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98939663,0.00007373259,0.0054484946,0.000055820787,0.001652712,0.0001323582,0.0000032075434,0.00001351304,0.0032235065],"genre_scores_gemma":[0.9992959,0.0000031260122,0.0005196404,0.000014540252,0.00013316068,9.412613e-7,0.0000040186924,0.000020001162,0.000008670976],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99795985,0.000039612478,0.0011216869,0.00015853482,0.00056726567,0.00015302414],"domain_scores_gemma":[0.9967157,0.00058860495,0.0016436185,0.00028665774,0.00071845937,0.000046915236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059065147,0.00021019464,0.00055864156,0.00009201265,0.00013699992,0.000048832728,0.00036357364,0.00019518746,0.000011351991],"category_scores_gemma":[0.00066831685,0.00017596038,0.00017071127,0.00035490538,0.00009528853,0.0000782579,0.00009112532,0.00033451922,9.6614755e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015959289,0.0032466531,0.0037074287,0.0040025124,0.00054855197,0.0000064106152,0.0037958545,0.07862319,0.20264359,0.6991842,0.000024481025,0.002621222],"study_design_scores_gemma":[0.0042622443,0.0002722198,0.000064171174,0.001222947,0.00022106897,0.000005154742,0.00064115785,0.32184225,0.6007073,0.0705399,0.000031323267,0.00019026209],"about_ca_topic_score_codex":0.0000044726585,"about_ca_topic_score_gemma":1.3613717e-7,"teacher_disagreement_score":0.6286443,"about_ca_system_score_codex":0.00020803236,"about_ca_system_score_gemma":0.00042114727,"threshold_uncertainty_score":0.7175456},"labels":[],"label_agreement":null},{"id":"W4409573336","doi":"10.61091/jcmcc127a-043","title":"Algorithm Optimisation and Landslide Risk Assessment for Critical Soil Thickness Calculation on Slopes Based on 3D Numerical Simulation (FLAC-3D) and Geographic Information System (GIS)","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Landslide; Geographic information system; Geology; Geotechnical engineering; Computer science; Mining engineering; Civil engineering; Remote sensing; Engineering","score_opus":0.006119124220720671,"score_gpt":0.2564334973205315,"score_spread":0.2503143730998108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573336","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2586062,0.000034344263,0.7352493,0.00026268605,0.0044679283,0.00055907475,0.00000888944,0.00003988885,0.0007717371],"genre_scores_gemma":[0.9654051,0.000016584605,0.034282878,0.00004985498,0.00022055744,0.000005303379,0.0000057182547,0.000012431259,0.0000015645306],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981153,0.00014298911,0.0007827899,0.00019501774,0.00055098475,0.00021289331],"domain_scores_gemma":[0.9975051,0.001477955,0.00058428233,0.00012908969,0.0001794363,0.0001240835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016336107,0.0002239346,0.00043691407,0.00018023606,0.0005209466,0.00029754482,0.00010420001,0.00021849608,0.0000032909356],"category_scores_gemma":[0.00048487613,0.00017578017,0.0000840508,0.00020855668,0.00008643046,0.0003245625,0.000088740955,0.0003780793,7.6605704e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013326621,0.0011606462,0.013737888,0.0014388328,0.00029437258,0.000013530178,0.0017233413,0.48011366,0.00006888104,0.3203108,0.00016094756,0.17964444],"study_design_scores_gemma":[0.004116855,0.00081711623,0.0031557474,0.0005023609,0.00018653684,0.0000099721965,0.0001293934,0.9607436,0.0000254686,0.029748771,0.00037261893,0.00019152829],"about_ca_topic_score_codex":0.000020351503,"about_ca_topic_score_gemma":2.2292352e-7,"teacher_disagreement_score":0.7067989,"about_ca_system_score_codex":0.00016007021,"about_ca_system_score_gemma":0.000046098823,"threshold_uncertainty_score":0.7168107},"labels":[],"label_agreement":null},{"id":"W4409573349","doi":"10.61091/jcmcc127a-041","title":"Dataset-driven new set of video quality evaluations towards reference-free video quality evaluations","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Video quality; Quality (philosophy); Set (abstract data type); Subjective video quality; Video recording; Artificial intelligence; Multimedia; Image quality; Image (mathematics); Engineering; Operations management","score_opus":0.10484009852459408,"score_gpt":0.42994837927700313,"score_spread":0.32510828075240905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573349","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12932876,0.00074349804,0.8400466,0.0056388644,0.019707667,0.0011545646,0.00020469555,0.00011195734,0.0030634217],"genre_scores_gemma":[0.93910694,0.000055461987,0.05972154,0.00016696297,0.0008390733,0.0000062288264,0.00004532218,0.000021893888,0.000036571557],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99265754,0.0011463308,0.0032540201,0.0004883267,0.0019942906,0.00045947405],"domain_scores_gemma":[0.991003,0.0025106098,0.0027390616,0.0014834141,0.0019640333,0.000299918],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009294902,0.00041262808,0.0013712918,0.00043311014,0.00046347047,0.000529317,0.0023490374,0.00024402795,0.000020659425],"category_scores_gemma":[0.0047902935,0.00038425473,0.00029777642,0.0009931974,0.0001514608,0.0008917967,0.0014593279,0.0007163343,0.0000040394875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006584563,0.0006020053,0.00012185536,0.00035422368,0.000254431,0.000004180506,0.0017944499,0.00009939479,0.0009340438,0.9788367,0.006927664,0.010005169],"study_design_scores_gemma":[0.007124198,0.0005954078,0.0017735456,0.0006467374,0.00025995207,0.000016361255,0.00057402666,0.010189003,0.002391061,0.9733468,0.0026414227,0.00044147187],"about_ca_topic_score_codex":0.0003113419,"about_ca_topic_score_gemma":0.000009554433,"teacher_disagreement_score":0.80977815,"about_ca_system_score_codex":0.00024578258,"about_ca_system_score_gemma":0.0022107887,"threshold_uncertainty_score":0.99986094},"labels":[],"label_agreement":null},{"id":"W4409573350","doi":"10.61091/jcmcc127a-044","title":"Exploration of human-computer interaction and product design of wearable weaponry based on digital technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Wearable computer; Human–computer interaction; Product (mathematics); Wearable technology; Product design; Computer science; Engineering; Embedded system; Mathematics","score_opus":0.023485797470210644,"score_gpt":0.27235551921595985,"score_spread":0.2488697217457492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573350","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48516557,0.00013467435,0.5108318,0.00008867178,0.0030476556,0.00027219762,0.0000010640739,0.000049231356,0.00040915835],"genre_scores_gemma":[0.99426484,0.000015301363,0.0055483542,0.0000035286203,0.00015007376,0.0000020454058,8.0194405e-7,0.000013064816,0.0000019596996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892175,0.000023423145,0.0006846642,0.00009783673,0.00017935995,0.00009296454],"domain_scores_gemma":[0.99879223,0.00036128302,0.00035222678,0.00014187058,0.0003204961,0.000031870637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000406689,0.00012490932,0.00036242968,0.000376443,0.000070972994,0.000051376777,0.00010841746,0.00008344387,8.8716286e-7],"category_scores_gemma":[0.00012531728,0.000120920915,0.000046705358,0.00026725454,0.00004537132,0.00017849915,0.000035694073,0.00019915804,2.0868137e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015082225,0.0008675972,0.00018497162,0.0008107542,0.0001845636,0.0000016616904,0.00086300273,0.4156898,0.013066149,0.551395,0.00020920453,0.016576484],"study_design_scores_gemma":[0.0019120262,0.00046511565,0.000021378373,0.0007095498,0.000047630096,0.0000038641874,0.00014585568,0.7565251,0.011711638,0.2282706,0.0000734923,0.00011375239],"about_ca_topic_score_codex":8.228561e-7,"about_ca_topic_score_gemma":2.345454e-8,"teacher_disagreement_score":0.5090993,"about_ca_system_score_codex":0.00003340173,"about_ca_system_score_gemma":0.00003857692,"threshold_uncertainty_score":0.49310118},"labels":[],"label_agreement":null},{"id":"W4409573352","doi":"10.61091/jcmcc127a-038","title":"Application of Artificial Intelligence-based Music Generation Technology in Popular Music Production","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Popular music; Computer science; Music technology; Multimedia; Artificial intelligence; Art; Visual arts; Music education","score_opus":0.040997300948043214,"score_gpt":0.3344577345785077,"score_spread":0.2934604336304645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7616426,0.00019637923,0.22983101,0.00098508,0.006791272,0.00031984868,3.5371104e-7,0.000020669086,0.00021283494],"genre_scores_gemma":[0.9858183,0.000011990258,0.013236122,0.000012261534,0.0009054126,0.0000035656874,0.0000014928078,0.0000074348536,0.000003416168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977608,0.00025014929,0.0011407809,0.00018495988,0.00048402208,0.00017929789],"domain_scores_gemma":[0.99777776,0.0003385246,0.0009051158,0.00014131123,0.0007875065,0.000049808063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032112494,0.0001331581,0.00049314013,0.0008136767,0.00026940656,0.0000678397,0.00025744477,0.00016762121,0.0000042523648],"category_scores_gemma":[0.0013510265,0.00013273192,0.0001140754,0.0016536921,0.00017143915,0.000120555815,0.000060275965,0.00027061463,4.692219e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031555774,0.00044459495,0.0005778191,0.00006239635,0.000032320935,0.0000014584705,0.0011693129,0.0015891135,0.0018402827,0.940389,0.00001849334,0.053843677],"study_design_scores_gemma":[0.0003838801,0.0001184219,0.00011521267,0.00015968876,0.00006975528,0.0000015512938,0.0011785153,0.058582753,0.0026501713,0.9363974,0.00023040514,0.00011227524],"about_ca_topic_score_codex":0.0000835681,"about_ca_topic_score_gemma":0.00003366981,"teacher_disagreement_score":0.22417575,"about_ca_system_score_codex":0.0001376223,"about_ca_system_score_gemma":0.00033240308,"threshold_uncertainty_score":0.541265},"labels":[],"label_agreement":null},{"id":"W4409573357","doi":"10.61091/jcmcc127a-033","title":"Research on Adaptive Algorithm and Interaction Design for English Translation Teaching in Flipped Classroom Mode","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Government of Jiangsu Province","keywords":"Flipped classroom; Translation (biology); Computer science; Mode (computer interface); Algorithm; Mathematics education; Human–computer interaction; Psychology; Chemistry","score_opus":0.07518871300679375,"score_gpt":0.3887547983175992,"score_spread":0.31356608531080543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573357","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11371299,0.00021029469,0.874496,0.0006691563,0.00989367,0.0004594199,0.0000010223393,0.00003551928,0.000521974],"genre_scores_gemma":[0.8415085,0.000022990516,0.15796566,0.000020649191,0.00046019722,0.0000080905365,6.0126195e-7,0.0000088544875,0.000004438734],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981245,0.00035031434,0.00067116134,0.00024779906,0.0003450435,0.0002612135],"domain_scores_gemma":[0.9942571,0.00469865,0.0003356941,0.00017197074,0.00047261475,0.0000639827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041648815,0.00015959724,0.00038944036,0.00070568593,0.00034630756,0.00018162577,0.0004092022,0.00020593223,3.4386719e-7],"category_scores_gemma":[0.0006945677,0.00015340766,0.00006249688,0.00037596695,0.00006580343,0.0003449556,0.00011933788,0.0009739888,2.1014552e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011784304,0.0003657288,0.00002133915,0.000041474017,0.000036186804,0.0000020839864,0.0029351807,0.00034992007,0.000079379526,0.962818,0.00011434163,0.033118524],"study_design_scores_gemma":[0.0022028442,0.00082937436,0.000047608515,0.00038133506,0.000013383412,0.000009895537,0.00092034624,0.19397822,0.0003379206,0.80077666,0.00039432163,0.00010808576],"about_ca_topic_score_codex":0.000008559434,"about_ca_topic_score_gemma":8.5268584e-7,"teacher_disagreement_score":0.72779554,"about_ca_system_score_codex":0.00013208605,"about_ca_system_score_gemma":0.00021380208,"threshold_uncertainty_score":0.6255783},"labels":[],"label_agreement":null},{"id":"W4409573358","doi":"10.61091/jcmcc127a-029","title":"Improving the LDA model applied to news form innovation in cultural communication","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Computer science","score_opus":0.018367627475183723,"score_gpt":0.29609517245998496,"score_spread":0.27772754498480123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95851403,0.00008288931,0.0026987046,0.0018249518,0.0049728947,0.0004888347,5.809838e-7,0.0000295018,0.03138758],"genre_scores_gemma":[0.99731433,0.000029651126,0.002000682,0.00014887899,0.00046145156,0.000005410046,7.393575e-7,0.00001044221,0.000028414399],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99793035,0.00015284466,0.0009942641,0.00012702636,0.00051303103,0.00028250946],"domain_scores_gemma":[0.9974459,0.0010016247,0.00068349286,0.00017845524,0.00061207317,0.000078499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043956777,0.0001480518,0.00039261286,0.00024472355,0.0006482614,0.0004458246,0.00054761424,0.00013646463,8.1363106e-7],"category_scores_gemma":[0.003415697,0.00011784541,0.00006746972,0.0011261613,0.00013410879,0.0002443526,0.0002208876,0.00043881792,6.833575e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005072169,0.00012574764,0.00013382932,0.000036858255,0.000016155003,5.614913e-7,0.017353518,0.00011644031,0.00011601632,0.9687514,0.00030941682,0.012989374],"study_design_scores_gemma":[0.0017910106,0.00008136626,0.0001192826,0.00037120003,0.000033716013,0.0000010491202,0.017690979,0.005471213,0.00008558812,0.97245985,0.001706763,0.00018795748],"about_ca_topic_score_codex":0.00018037761,"about_ca_topic_score_gemma":0.000035601544,"teacher_disagreement_score":0.038800266,"about_ca_system_score_codex":0.00022109409,"about_ca_system_score_gemma":0.00035763357,"threshold_uncertainty_score":0.4985968},"labels":[],"label_agreement":null},{"id":"W4409573359","doi":"10.61091/jcmcc127a-032","title":"Numerical resolution of nonlinear optical phenomena in solid state physics by FEM modelling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Finite element method; Nonlinear system; Nonlinear optical; Resolution (logic); Physics; Solid-state; Statistical physics; Mechanics; Computational physics; Materials science; Computer science; Thermodynamics; Engineering physics; Quantum mechanics; Artificial intelligence","score_opus":0.010432372225830657,"score_gpt":0.24485230661200397,"score_spread":0.2344199343861733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.532342,0.00066002924,0.46030712,0.00003800304,0.005471296,0.00021006569,0.0000030086367,0.000047901554,0.0009205626],"genre_scores_gemma":[0.9682238,0.00010172861,0.031197332,0.0000063425314,0.00042706745,7.462407e-7,0.0000014155672,0.000037613176,0.0000039549245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978918,0.00003955181,0.0011830162,0.00015458003,0.00039836916,0.0003327195],"domain_scores_gemma":[0.9986137,0.00047641434,0.00036803543,0.00017693044,0.00025844714,0.00010647276],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00063086115,0.00024563723,0.0008170212,0.0001371979,0.00007227397,0.000051632644,0.00024220473,0.00013141977,0.0000014870922],"category_scores_gemma":[0.0001282684,0.00025753,0.0001127806,0.00038152444,0.00007514376,0.0001472432,0.000080210535,0.000579644,8.893889e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016925602,0.0008187404,0.000081596394,0.0006898293,0.00021397052,0.000018376231,0.0022068815,0.84777004,0.0028068551,0.13874662,0.00021508106,0.00626278],"study_design_scores_gemma":[0.0023926287,0.00016623668,0.0000061729984,0.00043819656,0.000037172227,0.000007402125,0.00015002246,0.76349115,0.0029850816,0.2299945,0.000148025,0.00018337369],"about_ca_topic_score_codex":0.0000053886833,"about_ca_topic_score_gemma":1.1555597e-7,"teacher_disagreement_score":0.4358818,"about_ca_system_score_codex":0.00013883467,"about_ca_system_score_gemma":0.00006513182,"threshold_uncertainty_score":0.9999877},"labels":[],"label_agreement":null},{"id":"W4409573360","doi":"10.61091/jcmcc127a-036","title":"Performance Management Model Innovation and Organisational Change Driven by Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Knowledge management; Process management; Business; Computer science; Engineering management; Engineering","score_opus":0.02710424251487106,"score_gpt":0.24823854385997327,"score_spread":0.2211343013451022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9082912,0.000106625055,0.07671079,0.00013790069,0.0060561756,0.000289471,0.0000049205278,0.000070458154,0.008332466],"genre_scores_gemma":[0.9962807,0.00007520866,0.003354718,0.000020912246,0.00023830903,0.0000035374467,0.0000030456674,0.000016635024,0.0000069176863],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99857396,0.000011545205,0.0008388735,0.0000964267,0.00031447978,0.00016472628],"domain_scores_gemma":[0.99930257,0.00010243537,0.00021325206,0.00008886128,0.00024157137,0.00005130914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044162327,0.00016988546,0.00027811748,0.00026247228,0.00013024686,0.00017290012,0.00016844402,0.00011117567,0.0000025220322],"category_scores_gemma":[0.00003551749,0.00017358118,0.000030182864,0.00043969575,0.000051249295,0.00041116055,0.00007149387,0.00028085735,0.0000010276514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000162294,0.00010122408,0.00006305274,0.00044114076,0.00007532178,0.0000011780307,0.00054788525,0.002740624,0.00018976569,0.9756871,0.00023191092,0.019904552],"study_design_scores_gemma":[0.0006867419,0.000098566365,0.000055602068,0.0004048809,0.00005243297,0.000012385042,0.0003625014,0.47603935,0.0021195514,0.5197706,0.00020144181,0.00019594925],"about_ca_topic_score_codex":2.9868593e-7,"about_ca_topic_score_gemma":2.0826107e-8,"teacher_disagreement_score":0.47329873,"about_ca_system_score_codex":0.00007865713,"about_ca_system_score_gemma":0.000028969196,"threshold_uncertainty_score":0.70784354},"labels":[],"label_agreement":null},{"id":"W4409573363","doi":"10.61091/jcmcc127a-023","title":"A Study of the Relationship between Sensory Marketing Strategies and Customer Loyalty in Experiential Retail Environments","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Marketing; Business; Experiential learning; Loyalty business model; Loyalty; Sensory system; Psychology; Service quality; Service (business)","score_opus":0.03449679399736707,"score_gpt":0.2758678002822881,"score_spread":0.241371006284921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951123,0.00010252762,0.00006544747,0.00011445907,0.003217934,0.0003266156,4.3555835e-7,0.000009265413,0.0010510015],"genre_scores_gemma":[0.9992695,0.0000027203118,0.00006667202,0.000027933034,0.0006039153,0.0000019240197,4.4569396e-7,0.000014463297,0.000012429391],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775463,0.00017107603,0.0011727955,0.0001874512,0.0005034058,0.00021060956],"domain_scores_gemma":[0.99738216,0.0010984074,0.0011468516,0.00021951624,0.00013137133,0.000021677748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002777952,0.00020777511,0.0005811819,0.00030565655,0.0003012349,0.00030569278,0.00032207556,0.0001198157,0.000004303579],"category_scores_gemma":[0.00072130107,0.00016793604,0.0000900397,0.00053419446,0.000101028265,0.00053516054,0.0004581339,0.00048978365,7.8494185e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019919752,0.0010305957,0.5657495,0.0008797616,0.00011373407,0.000009485057,0.003835036,0.0000612161,0.00009513074,0.42730162,0.0000424592,0.0006822263],"study_design_scores_gemma":[0.010794247,0.00016521315,0.67591256,0.0014157399,0.00043225512,0.000007754687,0.042386413,0.00097440934,0.000056137513,0.26672912,0.00069546036,0.00043069557],"about_ca_topic_score_codex":0.00009623925,"about_ca_topic_score_gemma":0.000009892077,"teacher_disagreement_score":0.16057247,"about_ca_system_score_codex":0.00004322596,"about_ca_system_score_gemma":0.000060903323,"threshold_uncertainty_score":0.6848233},"labels":[],"label_agreement":null},{"id":"W4409573366","doi":"10.61091/jcmcc127a-034","title":"Deep learning model based e-tendering strategy and corporate sustainability","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Procurement; Business; Corporate sustainability; Process management; Knowledge management; Computer science; Marketing","score_opus":0.059183492310770025,"score_gpt":0.33640097389024337,"score_spread":0.27721748157947335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7547648,0.00046208323,0.23911828,0.00049512245,0.003939926,0.00021133063,0.0000016641504,0.00002759078,0.0009791832],"genre_scores_gemma":[0.9965666,0.000029857292,0.0030556843,0.000050911713,0.00024718238,7.650161e-7,9.5144145e-7,0.000013320691,0.000034707118],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99671185,0.00019820458,0.0014085262,0.0003066294,0.001024269,0.00035054662],"domain_scores_gemma":[0.9944152,0.0016352269,0.001505241,0.00027899467,0.0019655917,0.00019974087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005895593,0.00027166953,0.00086082454,0.0002926275,0.0005925023,0.0009928388,0.0005109481,0.00019011347,0.0000055017285],"category_scores_gemma":[0.0041024513,0.00020566692,0.00018523812,0.00065988186,0.00017993226,0.0004468742,0.00033652986,0.0005904511,4.823593e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018291204,0.0004683002,0.003233251,0.0002812363,0.00009738176,0.000022553344,0.00094631215,0.013955182,0.00020033495,0.9496618,0.00022846801,0.03072226],"study_design_scores_gemma":[0.0017830869,0.00021300984,0.00058338523,0.0000937513,0.000046361813,0.000010129139,0.0012597666,0.39474142,0.000056339268,0.6008797,0.00019261033,0.00014041558],"about_ca_topic_score_codex":0.000008260252,"about_ca_topic_score_gemma":3.460087e-7,"teacher_disagreement_score":0.38078624,"about_ca_system_score_codex":0.0000970616,"about_ca_system_score_gemma":0.0004886103,"threshold_uncertainty_score":0.9573967},"labels":[],"label_agreement":null},{"id":"W4409573367","doi":"10.61091/jcmcc127a-026","title":"Application of Time Series Analysis Model in Monitoring Electricity Consumption Behaviour and Anti-Theft of Electricity","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electricity; Consumption (sociology); Series (stratigraphy); Time series; Environmental economics; Business; Computer science; Economics; Engineering; Electrical engineering; Machine learning","score_opus":0.008511268933939064,"score_gpt":0.2525940449864108,"score_spread":0.24408277605247175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8060478,0.00039182237,0.19265243,0.00004019801,0.0006560988,0.00016230925,8.79234e-7,0.000020143721,0.000028318826],"genre_scores_gemma":[0.99370795,0.000091066235,0.0061434926,0.000001741411,0.000046223257,0.0000016440939,3.6440565e-7,0.0000055679297,0.0000019328304],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99799895,0.00010809639,0.0011524404,0.00020544817,0.00033964534,0.00019538867],"domain_scores_gemma":[0.9977227,0.00035438812,0.001196982,0.00026194757,0.00041475712,0.000049221962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001524531,0.00017049478,0.0009125782,0.0008101344,0.00010113163,0.000056165267,0.00047614813,0.00020863877,1.6934504e-7],"category_scores_gemma":[0.00019508199,0.00016770163,0.00012207015,0.0012586558,0.000086228945,0.0002669876,0.0002062682,0.0003494291,1.1034306e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052158528,0.0005659326,0.12359764,0.00028607587,0.00022819561,0.000003330608,0.0010427124,0.00070213113,0.0082737105,0.86357266,0.000004114491,0.0016713635],"study_design_scores_gemma":[0.0022781733,0.00035803363,0.015784828,0.00031529545,0.00033177782,0.000024716448,0.00007397635,0.5145774,0.025062906,0.44096097,0.00000333189,0.00022860541],"about_ca_topic_score_codex":0.000026937418,"about_ca_topic_score_gemma":8.252853e-7,"teacher_disagreement_score":0.51387525,"about_ca_system_score_codex":0.00005980016,"about_ca_system_score_gemma":0.00010101814,"threshold_uncertainty_score":0.6838674},"labels":[],"label_agreement":null},{"id":"W4409573368","doi":"10.61091/jcmcc127a-027","title":"Optimisation of digital preservation and 3D reconstruction of frescoes based on image processing algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fresco; Computer science; Computer vision; Computer graphics (images); Digital image processing; Image processing; Artificial intelligence; Image (mathematics); Algorithm; Art; Art history","score_opus":0.0150662464388259,"score_gpt":0.23687159132999627,"score_spread":0.22180534489117038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99296236,0.00020957246,0.0025927848,0.000053643456,0.002367125,0.00012950378,0.000008309999,0.000010125237,0.0016665471],"genre_scores_gemma":[0.99143773,0.000013873124,0.008389155,0.0000045933566,0.00014212354,1.3674176e-7,0.000004459616,0.0000034756347,0.0000044735484],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868244,0.000066065615,0.0006943816,0.00011396955,0.00032861708,0.0001145342],"domain_scores_gemma":[0.9982402,0.0004562512,0.0007644494,0.000081637285,0.00040512497,0.000052349926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008127567,0.00012800342,0.00038491777,0.00014160448,0.00012748923,0.00013119122,0.00011946427,0.000084086954,0.000007100205],"category_scores_gemma":[0.00038826748,0.00010182509,0.000059126734,0.00022705272,0.00010249121,0.0004051833,0.000018428862,0.00016804421,1.5384065e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016040866,0.0013543383,0.15692396,0.0052383295,0.00031811092,0.000016747726,0.004209877,0.006266455,0.0035108656,0.060794037,0.00015483765,0.7596083],"study_design_scores_gemma":[0.0071350695,0.0025317387,0.025788981,0.0038081543,0.00018913393,0.000045893292,0.0017457253,0.6462415,0.0050455364,0.3069237,0.00008276241,0.00046181324],"about_ca_topic_score_codex":0.000023092685,"about_ca_topic_score_gemma":8.928359e-7,"teacher_disagreement_score":0.7591465,"about_ca_system_score_codex":0.000008328224,"about_ca_system_score_gemma":0.00008572601,"threshold_uncertainty_score":0.41523066},"labels":[],"label_agreement":null},{"id":"W4409573370","doi":"10.61091/jcmcc127a-021","title":"Research on Supply Chain Optimization and Economic Efficiency Improvement of Manufacturing Enterprises","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Supply chain; Business; Industrial organization; Supply chain optimization; Supply chain management; Manufacturing engineering; Engineering; Marketing","score_opus":0.012674044036479289,"score_gpt":0.2736490091553943,"score_spread":0.260974965118915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98230577,0.000110499204,0.0062131714,0.00025742565,0.008222494,0.000351935,0.000001334244,0.000019515082,0.0025178685],"genre_scores_gemma":[0.99842685,0.00003164829,0.0005008486,0.000040177623,0.0009712063,0.0000027273286,0.0000010858399,0.000016745966,0.000008726976],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981583,0.00003384612,0.0009313863,0.0001973412,0.00045123012,0.00022790862],"domain_scores_gemma":[0.9978331,0.00060589804,0.0008581777,0.00017587659,0.0005005318,0.000026449346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001926271,0.00018464359,0.00046176236,0.00076685665,0.00033358278,0.0005226852,0.00028827018,0.00008517262,0.000013798607],"category_scores_gemma":[0.00029896264,0.00017047637,0.00007212463,0.0003068765,0.000119938144,0.00033172566,0.00036818982,0.00029288218,0.0000015005269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030209174,0.0007382894,0.001707991,0.000965503,0.00012377572,0.0000067444876,0.0003711027,0.014810061,0.000492247,0.9767817,0.00070643454,0.0029940398],"study_design_scores_gemma":[0.016079504,0.0016448796,0.0012432816,0.0044160094,0.0002686326,0.000013879392,0.004233131,0.16577129,0.019409435,0.78262186,0.003432684,0.0008654198],"about_ca_topic_score_codex":0.000039309638,"about_ca_topic_score_gemma":0.0000010440795,"teacher_disagreement_score":0.19415988,"about_ca_system_score_codex":0.000108357606,"about_ca_system_score_gemma":0.0001112479,"threshold_uncertainty_score":0.69518244},"labels":[],"label_agreement":null},{"id":"W4409573371","doi":"10.61091/jcmcc127a-025","title":"A study of educational evaluation models and their legal compliance based on big data analytics models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Compliance (psychology); Big data; Analytics; Data science; Computer science; Data analysis; Data mining; Psychology; Social psychology","score_opus":0.10128607077756076,"score_gpt":0.3338845555725628,"score_spread":0.23259848479500206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38867906,0.0004677085,0.60158575,0.0009331525,0.0068999818,0.00052267185,0.0000131851975,0.000031873715,0.00086661254],"genre_scores_gemma":[0.99301004,0.000013873436,0.0067222593,0.000031370073,0.00020374372,0.0000024664355,0.00000504347,0.000008967528,0.0000022306588],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974632,0.00020609266,0.0010520447,0.00039197915,0.0006844331,0.00020224722],"domain_scores_gemma":[0.9955448,0.0014968597,0.0009957649,0.0010325547,0.0008440849,0.000085972155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002697281,0.00024727368,0.0007366148,0.0005539956,0.00025791297,0.0002219439,0.0015215372,0.00013016263,9.447532e-7],"category_scores_gemma":[0.000604792,0.0002069221,0.000078704084,0.0008014502,0.000095999145,0.0005987851,0.00081214873,0.000389788,1.9999406e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000519747,0.0019729196,0.00013562904,0.00008727125,0.00021449423,0.000002738945,0.00065118424,0.008889591,0.000023198478,0.97874206,0.00015118778,0.009077769],"study_design_scores_gemma":[0.001996336,0.00030576,0.00005005879,0.00017535586,0.00011099371,0.0000065101267,0.00027664288,0.5374935,0.00003692021,0.45944455,0.000011597023,0.000091785674],"about_ca_topic_score_codex":0.00001408688,"about_ca_topic_score_gemma":0.0000032528956,"teacher_disagreement_score":0.604331,"about_ca_system_score_codex":0.00006520044,"about_ca_system_score_gemma":0.0004668725,"threshold_uncertainty_score":0.8438038},"labels":[],"label_agreement":null},{"id":"W4409573377","doi":"10.61091/jcmcc127a-031","title":"A deep neural network-based strategy for recommending online teaching resources for ideological and political theory courses","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ideology; Politics; Computer science; Artificial neural network; Artificial intelligence; Sociology; Data science; Mathematics education; Psychology; Political science; Law","score_opus":0.03455446773807655,"score_gpt":0.36039158568318425,"score_spread":0.3258371179451077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9108013,0.0006331338,0.06412286,0.008217434,0.013027521,0.0009547433,0.0000083581,0.00006588324,0.0021687949],"genre_scores_gemma":[0.98512346,0.0000063145467,0.011183746,0.00033648792,0.0033054836,0.0000076940705,0.0000028151003,0.000012835042,0.000021184775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976376,0.00045797435,0.0008071551,0.00020277179,0.0002702864,0.0006242025],"domain_scores_gemma":[0.9889435,0.009840517,0.0004412901,0.00009036886,0.0004155316,0.00026879372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041739303,0.00020264543,0.0006268027,0.000112994334,0.0011055316,0.0002772662,0.00027181004,0.00024152578,0.000005288356],"category_scores_gemma":[0.0049913926,0.00016411956,0.00017652378,0.00013651396,0.00035342437,0.000115708084,0.0000846828,0.00044364316,8.525648e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022469513,0.00038723246,0.00049350323,0.00013481485,0.000045382014,0.0000012898022,0.0006704533,0.00009717956,0.0000072047706,0.9920022,0.00020654457,0.0057295365],"study_design_scores_gemma":[0.0023420341,0.00081885915,0.00025465793,0.00020936999,0.00012558137,0.0000048077914,0.002699437,0.016776336,0.000009111667,0.9725493,0.004034513,0.00017596777],"about_ca_topic_score_codex":0.000037855818,"about_ca_topic_score_gemma":0.0000051631696,"teacher_disagreement_score":0.07432217,"about_ca_system_score_codex":0.00010001463,"about_ca_system_score_gemma":0.00020381171,"threshold_uncertainty_score":0.85029674},"labels":[],"label_agreement":null},{"id":"W4409573383","doi":"10.61091/jcmcc127a-022","title":"Research on physical properties of shale gas reservoirs in Hunan Province based on the analysis model of logging data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Logging; Shale gas; Petroleum engineering; Oil shale; Environmental science; Geology; Geography; Forestry; Paleontology","score_opus":0.06099489893979965,"score_gpt":0.3058373066388148,"score_spread":0.24484240769901516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936464,0.00010891551,0.0035017482,0.00032149776,0.00066188537,0.0002293808,0.0000043892464,0.000015104037,0.0015106958],"genre_scores_gemma":[0.99955,0.000026020163,0.0002677702,0.000007847192,0.00012250496,0.0000022992733,0.0000017582593,0.000017204191,0.000004612558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99738854,0.0002544162,0.0009819476,0.0001890297,0.0009414752,0.0002445633],"domain_scores_gemma":[0.99756426,0.0009845002,0.0003549328,0.0006394889,0.00039431863,0.00006249105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003390956,0.00018518155,0.00080755464,0.0009619291,0.00012480193,0.00007411774,0.0008626315,0.0000956789,0.000001209955],"category_scores_gemma":[0.0005980043,0.00012745603,0.00017863419,0.0015230473,0.00013913044,0.00012204606,0.00023196742,0.0006796001,2.6299634e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016565213,0.00087316707,0.00013962506,0.00055107573,0.0003903228,0.0000040793334,0.0009358666,0.8011868,0.0027955899,0.19259009,0.00011850491,0.00024920344],"study_design_scores_gemma":[0.0010004954,0.000177199,0.00001751971,0.0007676227,0.00015972748,2.4210644e-7,0.0006315093,0.937626,0.006922795,0.05258574,0.000011958961,0.00009917016],"about_ca_topic_score_codex":0.000017919547,"about_ca_topic_score_gemma":0.000004408592,"teacher_disagreement_score":0.14000434,"about_ca_system_score_codex":0.000085308224,"about_ca_system_score_gemma":0.00020171057,"threshold_uncertainty_score":0.5197506},"labels":[],"label_agreement":null},{"id":"W4409573389","doi":"10.61091/jcmcc127a-030","title":"Machine Learning-Based English Learning Behaviour Pattern Recognition and Personalised Teaching Strategies for College Students","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Wuhan University of Bioengineering; Wuhan University","keywords":"Computer science; Mathematics education; Artificial intelligence; Machine learning; Psychology","score_opus":0.022739242489281056,"score_gpt":0.30588020539012895,"score_spread":0.2831409629008479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83394533,0.00036007783,0.15680961,0.00044917053,0.007765048,0.00034163753,0.000005410203,0.00010286419,0.00022086798],"genre_scores_gemma":[0.9911149,0.000017948156,0.008332818,0.000054590393,0.0004340083,0.000007426212,0.000005996739,0.000015868336,0.000016448454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981262,0.00022641825,0.00070978573,0.00026765396,0.00040339254,0.0002665628],"domain_scores_gemma":[0.99687624,0.0014794918,0.000729163,0.00014175657,0.0006768096,0.000096557305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002252618,0.00023942559,0.0005102524,0.0003207864,0.0006798539,0.000448121,0.0005724326,0.00020043825,0.00000206543],"category_scores_gemma":[0.00095739326,0.00023412275,0.00011793484,0.00020846791,0.00007433929,0.00034112233,0.00023347873,0.000941324,3.7322803e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011659045,0.0011128095,0.015073716,0.00046594033,0.00020819652,0.000015589992,0.0060799937,0.00016753367,0.00012246412,0.96582705,0.00016852024,0.010641604],"study_design_scores_gemma":[0.009700251,0.0018964536,0.0013009319,0.00089635694,0.00020096517,0.00004908862,0.0045751645,0.07734111,0.00025607864,0.90176886,0.0015109427,0.0005038148],"about_ca_topic_score_codex":0.000014895564,"about_ca_topic_score_gemma":8.436283e-7,"teacher_disagreement_score":0.15716958,"about_ca_system_score_codex":0.00006714134,"about_ca_system_score_gemma":0.00029910557,"threshold_uncertainty_score":0.9547249},"labels":[],"label_agreement":null},{"id":"W4409573392","doi":"10.61091/jcmcc127a-024","title":"Construction and Practice of Higher Education Quality Assurance System Based on Artificial Intelligence Models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality assurance; Engineering management; Artificial intelligence; Computer science; Systems engineering; Engineering; Operations management","score_opus":0.0490455814484156,"score_gpt":0.38225028868564304,"score_spread":0.33320470723722745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.807699,0.0017446943,0.122907296,0.003490916,0.030386362,0.0015108583,0.000007317767,0.000062360305,0.03219115],"genre_scores_gemma":[0.9872116,0.00003229327,0.012313405,0.000050848997,0.000369424,0.000002263157,0.0000011191311,0.000008926384,0.000010148766],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977614,0.00022269094,0.000975373,0.000156299,0.00072411954,0.00016008962],"domain_scores_gemma":[0.9953204,0.0025778043,0.00079208554,0.0001741031,0.0009488606,0.00018678828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019017651,0.00015046765,0.00060673663,0.00021003286,0.000113641465,0.000057096437,0.000094077266,0.00012231847,0.000003623489],"category_scores_gemma":[0.002510198,0.00012088616,0.00008668576,0.00027126487,0.0001326275,0.00012081049,0.000047163074,0.00033367853,4.6287607e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010761297,0.00127736,0.00014719185,0.0012180856,0.00012129684,0.000009783202,0.00009476071,0.00003544251,0.00021239136,0.9824484,0.000052435265,0.013306705],"study_design_scores_gemma":[0.0041426173,0.002173617,0.0004486894,0.0055112685,0.00043304733,0.00011850635,0.00129043,0.024992136,0.0024748715,0.95790523,0.0003216221,0.00018796252],"about_ca_topic_score_codex":0.000016047716,"about_ca_topic_score_gemma":6.6918595e-8,"teacher_disagreement_score":0.17951253,"about_ca_system_score_codex":0.00012668909,"about_ca_system_score_gemma":0.00063487707,"threshold_uncertainty_score":0.49295944},"labels":[],"label_agreement":null},{"id":"W4409573394","doi":"10.61091/jcmcc127a-028","title":"Analysis of Structured Data Processing and Aesthetic Experience in Classical Dance Theatre Works","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dance; Aesthetics; Art; Visual arts; Computer science","score_opus":0.03522489619241412,"score_gpt":0.36924459367861795,"score_spread":0.33401969748620386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98314476,0.0013542816,0.012289992,0.0003790373,0.0018951509,0.0001375921,0.0000015906544,0.000010905645,0.0007866626],"genre_scores_gemma":[0.9933109,0.00009044324,0.0063931583,0.0000132450405,0.00017927229,6.449973e-7,0.0000015456918,0.000006312043,0.000004436054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976601,0.00030935157,0.000991033,0.00024207612,0.0005829202,0.00021451754],"domain_scores_gemma":[0.99757373,0.0009540294,0.0007876169,0.00022478841,0.00035976124,0.00010005096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026843355,0.0001549623,0.00084004615,0.00053917675,0.00027707557,0.0002115107,0.00056821125,0.00012782653,0.000004047177],"category_scores_gemma":[0.0006083845,0.00013598504,0.0001106269,0.0019002794,0.00030191545,0.00029256465,0.00029367604,0.00031451185,4.077834e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012256595,0.00050285005,0.016066937,0.00015302167,0.00038831992,0.00001343096,0.01817445,0.00052260933,0.0000903352,0.7886907,0.00002349773,0.17525128],"study_design_scores_gemma":[0.0028769418,0.0001407299,0.008766758,0.0011295516,0.0012009633,0.000008539855,0.008879788,0.17238115,0.000043963904,0.80341125,0.00082626037,0.00033414332],"about_ca_topic_score_codex":0.00007215287,"about_ca_topic_score_gemma":0.000034217846,"teacher_disagreement_score":0.17491713,"about_ca_system_score_codex":0.00005961828,"about_ca_system_score_gemma":0.0002840437,"threshold_uncertainty_score":0.5545309},"labels":[],"label_agreement":null},{"id":"W4409573397","doi":"10.61091/jcmcc127a-035","title":"Research on the Transformation and Upgrading Path of Student Management in Colleges and Universities Based on Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Transformation (genetics); Engineering management; Political science; Mathematics education; Management; Engineering; Computer science; Psychology; Economics; Chemistry","score_opus":0.055757772056213704,"score_gpt":0.3768870403030828,"score_spread":0.3211292682468691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941822,0.00011534371,0.0007238757,0.0011377368,0.0006624472,0.00045822945,9.045442e-7,0.0000033727847,0.0027158437],"genre_scores_gemma":[0.9994765,0.00014619959,0.00027551805,0.000023783567,0.000064047206,0.0000020074453,3.726662e-7,0.0000050762396,0.0000065159907],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99824125,0.00016937852,0.00049963413,0.00010934135,0.0007989105,0.0001814639],"domain_scores_gemma":[0.9976053,0.0018261512,0.00015208147,0.00010348586,0.00021241838,0.00010051205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025648028,0.00010773639,0.00034998928,0.00046760397,0.00017668422,0.00005897021,0.0001093492,0.000060351565,0.000002850361],"category_scores_gemma":[0.0001944479,0.00007215022,0.000041840227,0.0003779471,0.00015838907,0.00004175746,0.0000725736,0.0004162829,1.9893399e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006301393,0.0007810682,0.00022150356,0.00041034276,0.00009214659,0.00004737768,0.0011208259,0.00001772224,0.000030399062,0.991181,0.000026153451,0.005441316],"study_design_scores_gemma":[0.007848355,0.0061435057,0.0037986713,0.006716094,0.00017846996,0.00001544547,0.03205975,0.033235542,0.0024516913,0.90730035,0.000089732195,0.00016236816],"about_ca_topic_score_codex":0.000006718837,"about_ca_topic_score_gemma":3.3030207e-7,"teacher_disagreement_score":0.08388063,"about_ca_system_score_codex":0.00012121201,"about_ca_system_score_gemma":0.00013649312,"threshold_uncertainty_score":0.29422006},"labels":[],"label_agreement":null},{"id":"W4409573424","doi":"10.61091/jcmcc127a-037","title":"Analysis of the impact of groundwater seepage on the stability of foundation works in geotechnical engineering","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Henan Province","keywords":"Foundation (evidence); Geotechnical engineering; Groundwater; Geology; Stability (learning theory); Slope stability; Civil engineering; Engineering; Computer science; Geography; Archaeology","score_opus":0.008548640453853975,"score_gpt":0.2285793587404772,"score_spread":0.2200307182866232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409573424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728455,0.000069239555,0.025255213,0.00003842771,0.0015180653,0.00018188747,0.0000014251673,0.000014964712,0.000075258526],"genre_scores_gemma":[0.9997076,0.000014201713,0.00021286684,0.0000017358155,0.000050156916,0.0000013793181,4.3004198e-7,0.000011383716,2.934312e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810344,0.000055973407,0.0012163996,0.000096830736,0.0003456081,0.00018173568],"domain_scores_gemma":[0.9978968,0.0011614899,0.00039902676,0.00030041178,0.00020161142,0.0000406579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014990586,0.0001813791,0.0007973604,0.0003054244,0.000034875055,0.000027229693,0.0003925514,0.00015361972,0.000007049861],"category_scores_gemma":[0.0006456059,0.00011053102,0.00043203097,0.0013459048,0.000058391728,0.00006770461,0.00014788793,0.00055202073,6.886795e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008113068,0.0005821568,0.00068924134,0.0004771485,0.0009910357,0.0000012576967,0.00035531304,0.79091233,0.009205074,0.19532691,0.0000082385195,0.0013701556],"study_design_scores_gemma":[0.0016020957,0.00045432468,0.005366351,0.0013637199,0.00044096637,0.000002589087,0.00010301803,0.9030785,0.010107487,0.07726476,0.000016247766,0.00019991561],"about_ca_topic_score_codex":0.000029241606,"about_ca_topic_score_gemma":8.6741255e-7,"teacher_disagreement_score":0.118062146,"about_ca_system_score_codex":0.000106527645,"about_ca_system_score_gemma":0.000038541224,"threshold_uncertainty_score":0.45073244},"labels":[],"label_agreement":null},{"id":"W4409574772","doi":"10.61091/jcmcc127a-069","title":"Numerical simulation and experimental study of velocity decay characteristics of multilayer spherical fragments under blast loading","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanics; Materials science; Physics","score_opus":0.02198128479238466,"score_gpt":0.3178812019020119,"score_spread":0.29589991710962726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901192,0.000047384536,0.0032919815,0.000011846079,0.006144088,0.0003308416,0.0000039412494,0.00001527608,0.00003541019],"genre_scores_gemma":[0.99808955,0.000002780119,0.0016470297,0.0000063120574,0.00023089768,0.0000015897319,6.6696407e-7,0.000019024672,0.0000021408796],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99733543,0.0001613299,0.0014669278,0.0002051787,0.00058185635,0.00024927699],"domain_scores_gemma":[0.99741375,0.0005569184,0.0012791588,0.00018031016,0.00042979897,0.00014008065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009360847,0.00026078225,0.0010236112,0.00013964102,0.00018174696,0.00012494653,0.00025619433,0.00014782177,0.000021100139],"category_scores_gemma":[0.00022968116,0.0002305147,0.00009108689,0.00022381156,0.00012372083,0.00019202725,0.00025679194,0.00021587775,7.054168e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017372803,0.01435091,0.008418938,0.0008937996,0.0003225553,0.00003027541,0.014015456,0.0017082092,0.8993664,0.05812656,0.000034176817,0.0009954569],"study_design_scores_gemma":[0.032979924,0.010726267,0.023990195,0.0020925791,0.00096730475,0.00005602958,0.010594734,0.028887266,0.8602063,0.028160565,0.00006529896,0.0012735563],"about_ca_topic_score_codex":0.000035945894,"about_ca_topic_score_gemma":1.9090038e-7,"teacher_disagreement_score":0.039160103,"about_ca_system_score_codex":0.00008662941,"about_ca_system_score_gemma":0.000104540915,"threshold_uncertainty_score":0.94001174},"labels":[],"label_agreement":null},{"id":"W4409574776","doi":"10.61091/jcmcc127a-059","title":"Research on the Impact of Urban Sports Industry on Economic Development Based on Data Mining Techniques","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Regional science; Data science; Environmental planning; Geography; Computer science","score_opus":0.08704998274726367,"score_gpt":0.4026974999716003,"score_spread":0.31564751722433665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773082,0.000029466195,0.000033431254,0.0004235416,0.0044271583,0.00036883826,0.0000029716066,0.000020645999,0.017385758],"genre_scores_gemma":[0.998415,0.000010359778,0.00048858026,0.000036903988,0.0009987798,0.0000018888388,0.0000019610804,0.000017413302,0.000029145827],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997037,0.0003012266,0.00090902066,0.00022835028,0.0011097455,0.00041469195],"domain_scores_gemma":[0.9955415,0.0025568432,0.0008653834,0.0004938482,0.00036385749,0.00017857144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01056624,0.00021951889,0.0005549969,0.0004882003,0.0007043279,0.0001943679,0.0009849682,0.00029164128,0.000025586867],"category_scores_gemma":[0.0012554146,0.00015444423,0.00012994614,0.0004415282,0.00019693837,0.00013092166,0.00022281842,0.0010316487,0.0000012566006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036900237,0.0010700781,0.0017965399,0.000054601187,0.00014349037,0.000016735461,0.0028246674,0.00011212791,0.000027068016,0.97828686,0.009220179,0.006078649],"study_design_scores_gemma":[0.017385969,0.013920378,0.012455482,0.02598702,0.0004734621,0.000023745066,0.017680017,0.016192593,0.01629854,0.78583723,0.09131933,0.0024262317],"about_ca_topic_score_codex":0.00008336919,"about_ca_topic_score_gemma":0.0000021479482,"teacher_disagreement_score":0.19244963,"about_ca_system_score_codex":0.00047525618,"about_ca_system_score_gemma":0.0021178809,"threshold_uncertainty_score":0.6298053},"labels":[],"label_agreement":null},{"id":"W4409574786","doi":"10.61091/jcmcc127a-062","title":"Research on Resource Integration and Intelligent Recommendation Mechanism of Digital Library under Big Data Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Resource (disambiguation); Computer science; Big data; Digital library; World Wide Web; Information resource; Data science; Knowledge management; Data mining; Computer network; Art","score_opus":0.09890834819087117,"score_gpt":0.3610517410076372,"score_spread":0.262143392816766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9297731,0.00073741487,0.04533141,0.0065719006,0.006150124,0.001287856,0.000041718104,0.000035962068,0.010070549],"genre_scores_gemma":[0.99809146,0.00028490138,0.0010487693,0.00003500716,0.0004428051,0.0000013270859,0.00003730154,0.000016179043,0.000042237305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978298,0.00015232251,0.0007689088,0.00022365691,0.00080394355,0.00022136624],"domain_scores_gemma":[0.9974524,0.001457701,0.00033812455,0.0003550945,0.0001689191,0.00022776621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001880176,0.00015283658,0.00048322097,0.00039941916,0.00014372825,0.00014069605,0.00028510776,0.00012394508,0.000016321163],"category_scores_gemma":[0.0012235278,0.0001150156,0.000057534617,0.00027082706,0.00013364136,0.000165598,0.0007529416,0.0006092595,0.0000020682462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009445381,0.002191646,0.00019215571,0.0003861557,0.00033585425,0.000027186517,0.00024725904,0.0000019191489,0.000272094,0.88511837,0.0021484462,0.108134374],"study_design_scores_gemma":[0.0058658645,0.003511129,0.00014535169,0.0018440649,0.00013957811,0.00003902736,0.0014657605,0.004900472,0.005023754,0.9730614,0.003875627,0.00012799274],"about_ca_topic_score_codex":0.000002858589,"about_ca_topic_score_gemma":5.301275e-8,"teacher_disagreement_score":0.10800638,"about_ca_system_score_codex":0.00008657743,"about_ca_system_score_gemma":0.00021636195,"threshold_uncertainty_score":0.46902},"labels":[],"label_agreement":null},{"id":"W4409574789","doi":"10.61091/jcmcc127a-063","title":"Algorithm-Driven Energy Conversion Efficiency Enhancement Technology for High Power Laser Devices","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Power (physics); Energy conversion efficiency; Laser; Efficient energy use; Energy (signal processing); Materials science; Energy transformation; Computer science; Optoelectronics; Electrical engineering; Engineering physics; Optics; Engineering; Physics","score_opus":0.004039496513479249,"score_gpt":0.2139450914143319,"score_spread":0.20990559490085264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6515147,0.0009091079,0.3199776,0.00031179647,0.026005063,0.0003878352,0.000004524145,0.00018664221,0.0007027384],"genre_scores_gemma":[0.98765767,0.000040274408,0.011947138,0.000019853145,0.00028894914,0.000006824862,0.0000011862608,0.00002489839,0.000013202287],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983255,0.000022807244,0.0008848966,0.0001745897,0.00025240576,0.00033978556],"domain_scores_gemma":[0.99867773,0.00034438467,0.0003222647,0.00019173762,0.0003805637,0.000083290804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004469085,0.00024792325,0.000687916,0.00037144855,0.00017310801,0.00008216157,0.00036764532,0.0003086648,0.0000063844045],"category_scores_gemma":[0.00011737984,0.00022115136,0.000115183175,0.00041392163,0.00008369742,0.00008956593,0.00014433634,0.00028743997,0.0000012005788],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030334188,0.00033108905,0.00004316816,0.00035755456,0.00022217211,0.000009641046,0.00009438495,0.00016435001,0.0014260564,0.9879397,0.000610038,0.008771516],"study_design_scores_gemma":[0.008867668,0.0017647663,0.000026778462,0.0010813589,0.00024579602,0.000042698754,0.0005769776,0.08108822,0.046379395,0.8408147,0.0184968,0.00061485945],"about_ca_topic_score_codex":0.0000043188243,"about_ca_topic_score_gemma":2.6232811e-7,"teacher_disagreement_score":0.336143,"about_ca_system_score_codex":0.000109770335,"about_ca_system_score_gemma":0.000055397377,"threshold_uncertainty_score":0.9018291},"labels":[],"label_agreement":null},{"id":"W4409574790","doi":"10.61091/jcmcc127a-064","title":"Attention mechanism-driven freeway traffic flow prediction model under the fusion of ETC gantry and multivariate monitoring data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Mechanism (biology); Computer science; Fusion; Traffic flow (computer networking); Flow (mathematics); Data mining; Environmental science; Machine learning; Mechanics; Computer network; Physics","score_opus":0.01739046382852138,"score_gpt":0.25002667142649426,"score_spread":0.23263620759797288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6036641,0.00026930065,0.3854529,0.00008731694,0.009785737,0.00029067416,0.000009885043,0.00026709086,0.000172981],"genre_scores_gemma":[0.99177355,0.00027277548,0.007554062,0.000005335434,0.00036455487,0.0000018854722,0.0000034746674,0.000021437934,0.0000029560883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984768,0.000054063108,0.000781236,0.00015998696,0.0003575845,0.000170331],"domain_scores_gemma":[0.99888533,0.0002446599,0.00033357617,0.00030540818,0.00017008159,0.00006094339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009954287,0.00019467447,0.0003936344,0.00019206814,0.00020730545,0.0001038552,0.0003860064,0.00014090912,5.771658e-7],"category_scores_gemma":[0.00008653542,0.00015831075,0.00006830604,0.00020427274,0.0000510925,0.0002484214,0.00032716486,0.00036464253,1.2011246e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013193845,0.00064582267,0.00013164249,0.0013290457,0.00077513064,0.000006610739,0.0017226978,0.12550586,0.02106268,0.8239185,0.0023689896,0.022401089],"study_design_scores_gemma":[0.0017298985,0.000107058484,0.00022429894,0.0005955046,0.00018450199,0.000008847564,0.00043702015,0.9306093,0.0006374298,0.065306306,0.00004912331,0.0001107199],"about_ca_topic_score_codex":0.0000038488465,"about_ca_topic_score_gemma":3.9627338e-7,"teacher_disagreement_score":0.8051034,"about_ca_system_score_codex":0.000052979285,"about_ca_system_score_gemma":0.000037720154,"threshold_uncertainty_score":0.64557254},"labels":[],"label_agreement":null},{"id":"W4409574795","doi":"10.61091/jcmcc127a-058","title":"Research on flexible control method of robot based on visual servoing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Visual servoing; Computer science; Robot; Artificial intelligence; Computer vision; Control (management); Robot control; Mobile robot","score_opus":0.03193975933166719,"score_gpt":0.3937879209594092,"score_spread":0.36184816162774197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574795","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009551666,0.000090028276,0.97802365,0.000741788,0.0083664935,0.0002719214,6.6887753e-7,0.000046249443,0.0029075562],"genre_scores_gemma":[0.87840056,0.000006352925,0.121052735,0.00017150717,0.0003368779,0.000001627797,1.9770609e-7,0.000017919154,0.000012250391],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962109,0.0005256525,0.0012053546,0.0003376993,0.0012794797,0.00044096162],"domain_scores_gemma":[0.99268997,0.0046415837,0.00085242034,0.0004518446,0.0011939789,0.00017022231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005837913,0.0002702783,0.0008697024,0.0009235002,0.00039519812,0.00028575963,0.0009979154,0.00013491286,0.0000030023543],"category_scores_gemma":[0.0010114096,0.00023205952,0.00020927098,0.0011672054,0.00009048749,0.0002724942,0.00032221375,0.00094290817,0.0000021551714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002166416,0.000912651,0.00003893508,0.00017698735,0.000057174795,0.000015710037,0.00021354953,0.005249492,0.0015770417,0.97402287,0.00018648675,0.017332468],"study_design_scores_gemma":[0.005904337,0.0017226039,0.000063565065,0.0014249836,0.000025560712,0.000011283904,0.00015960576,0.5617704,0.009946343,0.4184235,0.00036322995,0.00018458288],"about_ca_topic_score_codex":0.000004403052,"about_ca_topic_score_gemma":4.6010047e-8,"teacher_disagreement_score":0.86884886,"about_ca_system_score_codex":0.000130423,"about_ca_system_score_gemma":0.00035558184,"threshold_uncertainty_score":0.9463113},"labels":[],"label_agreement":null},{"id":"W4409574797","doi":"10.61091/jcmcc127a-066","title":"Research on Human Action Detection and Recognition Methods Based on Interpretable Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Action recognition; Action (physics); Computer science; Pattern recognition (psychology); Physics","score_opus":0.109290315804324,"score_gpt":0.4285764432639573,"score_spread":0.31928612745963325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09167645,0.000038411126,0.89677656,0.0002786421,0.009350206,0.00024309136,2.95659e-7,0.000093491384,0.001542874],"genre_scores_gemma":[0.92392683,0.000014405119,0.07573535,0.00004081281,0.00026242257,0.0000045394427,2.176714e-7,0.0000122708025,0.0000031659956],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975777,0.0003982368,0.00081801775,0.00034118278,0.0005532129,0.00031164679],"domain_scores_gemma":[0.9957535,0.0026366606,0.00052488537,0.00040301413,0.0006002531,0.000081654296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041820877,0.0002144077,0.00044103572,0.00084974343,0.00059606944,0.00039144832,0.0006392055,0.00027679448,0.0000016657488],"category_scores_gemma":[0.0015143155,0.00019945082,0.00008486244,0.0008770659,0.00014230704,0.0002717005,0.0003998182,0.0013040818,0.0000015014605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007912277,0.00028374357,0.000002018358,0.00007084691,0.000021856464,0.000005439538,0.00016907629,0.00018618058,0.0022216123,0.77371323,0.000012661406,0.2232342],"study_design_scores_gemma":[0.00044883852,0.0017176305,0.000008336784,0.0004761033,0.000016213497,0.000012218044,0.0003051227,0.115455486,0.051072795,0.83027536,0.00007115124,0.00014072857],"about_ca_topic_score_codex":0.000006616501,"about_ca_topic_score_gemma":6.904096e-7,"teacher_disagreement_score":0.83225036,"about_ca_system_score_codex":0.00020511298,"about_ca_system_score_gemma":0.00009045423,"threshold_uncertainty_score":0.81333685},"labels":[],"label_agreement":null},{"id":"W4409574800","doi":"10.61091/jcmcc127a-067","title":"Cable degradation discharge point location method based on transient zero sequence alarm and acoustic environmental data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transient (computer programming); ALARM; Degradation (telecommunications); Sequence (biology); Zero (linguistics); Environmental science; Acoustics; Point (geometry); Computer science; Engineering; Telecommunications; Electrical engineering; Mathematics; Physics; Chemistry; Geometry","score_opus":0.021530077667586297,"score_gpt":0.2806858505778458,"score_spread":0.2591557729102595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574800","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47806573,0.0002081877,0.51516986,0.0003551544,0.0054307217,0.00036210095,0.000021665195,0.00003330785,0.00035323534],"genre_scores_gemma":[0.98802704,0.000016028756,0.011627907,0.00009317925,0.00019284477,0.0000018599874,0.000013918485,0.000015245399,0.000011998032],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99789363,0.00020624998,0.00081950554,0.00030547235,0.00053217536,0.00024294187],"domain_scores_gemma":[0.99787515,0.00092342135,0.00058902364,0.0003421676,0.00013674675,0.00013349258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002527284,0.0002205541,0.00045541214,0.0001990576,0.000358918,0.00022528283,0.00037141994,0.0000988411,0.000016735527],"category_scores_gemma":[0.00049430993,0.00019276384,0.00004411998,0.00023032987,0.00006993063,0.0003193729,0.00014366502,0.0002953979,0.0000027358171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007011594,0.0031028453,0.00035477462,0.0009445447,0.00014526973,0.000032935888,0.002411811,0.013360257,0.3465764,0.62354374,0.0013412586,0.0074850344],"study_design_scores_gemma":[0.0056242496,0.00073419954,0.0002437309,0.00052349345,0.00021673735,0.00003420664,0.00030655818,0.80107427,0.010073412,0.18022947,0.0005616756,0.0003779714],"about_ca_topic_score_codex":0.000015263558,"about_ca_topic_score_gemma":3.639132e-7,"teacher_disagreement_score":0.787714,"about_ca_system_score_codex":0.00013953917,"about_ca_system_score_gemma":0.00017666616,"threshold_uncertainty_score":0.78606814},"labels":[],"label_agreement":null},{"id":"W4409574805","doi":"10.61091/jcmcc127a-061","title":"Research on the integration construction technology of planted roofs and self-insulated exterior wall panels","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Architectural engineering; Structural engineering; Engineering; Civil engineering","score_opus":0.021160783199483987,"score_gpt":0.30193279073081086,"score_spread":0.28077200753132686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942645,0.00003560197,0.0006991818,0.0011684918,0.00210049,0.00019969577,8.2399356e-7,0.000011875255,0.0015193748],"genre_scores_gemma":[0.99776924,0.00003760536,0.0020553817,0.000022338207,0.00009567319,0.0000023494108,6.0473803e-7,0.000006494149,0.000010313674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985893,0.00008270919,0.0006356968,0.0001229202,0.0004164582,0.00015296483],"domain_scores_gemma":[0.99837285,0.0006827065,0.00045489953,0.00014460545,0.00030602497,0.000038894093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017068805,0.00011204408,0.00026072387,0.00025979133,0.00032004263,0.00006937302,0.00021383754,0.0001216166,0.000015151329],"category_scores_gemma":[0.00048104764,0.000073754105,0.000035845827,0.0009217203,0.00026111412,0.000109710745,0.00015509425,0.00045082922,0.0000014159846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003568591,0.00034237473,0.0008983783,0.000030504223,0.000038474,8.8986457e-7,0.0005764871,0.000016753334,0.0047052708,0.98962474,0.00013603918,0.0035943917],"study_design_scores_gemma":[0.0012763948,0.0006854212,0.004315415,0.00049080607,0.00003271863,0.00004417987,0.0022031802,0.0037329637,0.008008786,0.97823924,0.00085819577,0.00011268658],"about_ca_topic_score_codex":0.000018878782,"about_ca_topic_score_gemma":5.0915924e-7,"teacher_disagreement_score":0.011385499,"about_ca_system_score_codex":0.000116108386,"about_ca_system_score_gemma":0.00007548155,"threshold_uncertainty_score":0.30076054},"labels":[],"label_agreement":null},{"id":"W4409574819","doi":"10.61091/jcmcc127a-060","title":"Research on identity recognition technology of regional electric power marketing management information platform based on deep learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology and Security Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identity (music); Marketing management; Business; Deep learning; Marketing; Power (physics); Knowledge management; Artificial intelligence; Computer science","score_opus":0.017759185445423202,"score_gpt":0.28459717992266664,"score_spread":0.26683799447724343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8020615,0.00020561194,0.17889673,0.00086451997,0.008765816,0.0006639763,6.224862e-7,0.00016276736,0.008378475],"genre_scores_gemma":[0.9941588,0.000027753062,0.005677643,0.000034438057,0.00008566647,0.0000041935127,9.2038545e-7,0.000007614378,0.0000029790194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971115,0.0002611785,0.0010901755,0.00020437378,0.0009957103,0.000337083],"domain_scores_gemma":[0.9962713,0.0013968294,0.001003238,0.0003199407,0.00094911054,0.000059573176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062540076,0.00019045938,0.00048586237,0.00227077,0.0004308205,0.00020800733,0.00088061043,0.0003049205,0.0000020254363],"category_scores_gemma":[0.000932324,0.00018038791,0.00011525296,0.0019037334,0.00008528386,0.00056896236,0.00031922336,0.0011732558,0.0000042510487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001797322,0.0003563154,0.00008605587,0.000274084,0.00006593568,0.000010561504,0.00027477296,0.00014797106,0.000054339886,0.97621906,0.00009966528,0.022231495],"study_design_scores_gemma":[0.0037219077,0.001884763,0.00033704008,0.0019032869,0.0000320522,0.00003182257,0.0010021237,0.066505454,0.0010837187,0.9223068,0.0009661831,0.0002248635],"about_ca_topic_score_codex":0.0000023134803,"about_ca_topic_score_gemma":1.5377083e-7,"teacher_disagreement_score":0.1920973,"about_ca_system_score_codex":0.00016938464,"about_ca_system_score_gemma":0.00010661381,"threshold_uncertainty_score":0.7356006},"labels":[],"label_agreement":null},{"id":"W4409574825","doi":"10.61091/jcmcc127a-057","title":"Design and Application of Garden Water Management Models Incorporating Internet of Things (IoT) Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internet of Things; Computer science; World Wide Web","score_opus":0.014523316764688854,"score_gpt":0.24260492844856402,"score_spread":0.22808161168387517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7386452,0.00006657139,0.25895,0.00015517625,0.0012105354,0.00031865205,1.7123358e-7,0.000036519563,0.00061715895],"genre_scores_gemma":[0.9018901,0.000010205207,0.09804427,0.0000041483295,0.000030978288,0.000002901266,1.9503717e-7,0.000010302548,0.000006888569],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99825686,0.00006694498,0.0009693553,0.00017870919,0.0003519637,0.0001761771],"domain_scores_gemma":[0.99863243,0.00019443955,0.0008062033,0.00022782515,0.00010353467,0.000035562447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016103609,0.00016783307,0.0005158816,0.00023714438,0.000079717356,0.000038060614,0.00045931278,0.0001603608,0.0000013753961],"category_scores_gemma":[0.00008353095,0.00013312191,0.000051131687,0.00025686322,0.00027508076,0.00013882127,0.0009774035,0.00024893027,5.3947775e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012433034,0.00048384254,0.0015523828,0.0007021442,0.00020261711,0.0000073410074,0.0027729832,0.001977577,0.021953633,0.9550653,0.00007606545,0.0150817735],"study_design_scores_gemma":[0.0010880837,0.00028227794,0.00003214277,0.0003116933,0.00006728393,0.00000964776,0.00044887813,0.039967403,0.08448209,0.8731666,0.000033528177,0.00011033653],"about_ca_topic_score_codex":0.000015693662,"about_ca_topic_score_gemma":5.6879315e-8,"teacher_disagreement_score":0.1632449,"about_ca_system_score_codex":0.00008042099,"about_ca_system_score_gemma":0.0000114731,"threshold_uncertainty_score":0.5428554},"labels":[],"label_agreement":null},{"id":"W4409574828","doi":"10.61091/jcmcc127a-065","title":"An Exploration of Teaching and Learning in the Integration of Preschool Music Curriculum and Mathematical Statistical Analysis Oriented by OBE Concepts","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Education, Safety, and Science Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Curriculum; Mathematics education; Computer science; Statistical analysis; Psychology; Pedagogy; Mathematics; Statistics","score_opus":0.0235262232115993,"score_gpt":0.3586133952871786,"score_spread":0.3350871720755793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9624077,0.00022053323,0.035146613,0.00031672782,0.0010334055,0.00021723444,0.0000014048015,0.0000065138574,0.0006498594],"genre_scores_gemma":[0.9960831,0.00009092472,0.003660572,0.000008735907,0.00014478323,0.0000020606076,0.0000016601714,0.0000038494227,0.000004314717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973844,0.00092790887,0.0008590176,0.00014252974,0.00052887195,0.00015726943],"domain_scores_gemma":[0.99670196,0.0020602494,0.0006645966,0.00009509285,0.00040853658,0.00006956243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006048437,0.00012012842,0.00051410776,0.00022421207,0.00055408117,0.00012711633,0.00019031425,0.00007811795,0.0000031432596],"category_scores_gemma":[0.0036121134,0.00008933314,0.000052470714,0.00059560745,0.00037554206,0.00046542764,0.000053848922,0.00042736428,3.4518155e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015847496,0.00041077423,0.0045104176,0.0000825331,0.000063788226,4.7401764e-7,0.0735546,0.000020058142,0.00020734416,0.9191991,0.000044837456,0.0018902024],"study_design_scores_gemma":[0.0014412623,0.0005613792,0.0028025864,0.00039120187,0.00040103763,0.00000207088,0.24546956,0.011723377,0.000076329045,0.7368632,0.00011013131,0.00015786613],"about_ca_topic_score_codex":0.00022066015,"about_ca_topic_score_gemma":0.00002580283,"teacher_disagreement_score":0.18233593,"about_ca_system_score_codex":0.000036526802,"about_ca_system_score_gemma":0.00012789948,"threshold_uncertainty_score":0.4324298},"labels":[],"label_agreement":null},{"id":"W4409574838","doi":"10.61091/jcmcc127a-068","title":"Logistic Regression Analysis of College Students’ Learning Behavior Considering MOOC Data in Online Learning Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Logistic regression; Online learning; Regression analysis; Computer science; Regression; Psychology; Mathematics education; Machine learning; Statistics; Multimedia; Mathematics","score_opus":0.022341666973623855,"score_gpt":0.2942363220864742,"score_spread":0.2718946551128504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98714346,0.00087909156,0.0083500985,0.000009705052,0.003205925,0.00023157035,0.000009283479,0.00003558112,0.00013530864],"genre_scores_gemma":[0.99826586,0.0001497949,0.0013678189,0.0000021634983,0.00016654377,0.0000015284414,0.000010157913,0.000025076584,0.0000110750825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99729985,0.00014555,0.0014849665,0.00021710941,0.00058561185,0.0002669191],"domain_scores_gemma":[0.9979189,0.0008448011,0.0006946438,0.00032720773,0.00012772501,0.00008672297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012762569,0.0002616318,0.0012247537,0.0005983696,0.00012501336,0.00006374465,0.00050863595,0.00014314658,0.000004541515],"category_scores_gemma":[0.0005042973,0.00024514215,0.00013956775,0.0006219578,0.000058364054,0.00014402815,0.0003602031,0.00072879036,2.9286008e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004547145,0.0042658774,0.1919891,0.002062184,0.005329621,0.00041716403,0.0038377773,0.6280052,0.014773599,0.13793065,0.00007742182,0.010856691],"study_design_scores_gemma":[0.012060323,0.0006788509,0.02063145,0.0025159086,0.0033744182,0.000040312545,0.0056423387,0.9280882,0.0005570236,0.024802085,0.00082167017,0.0007874246],"about_ca_topic_score_codex":0.000011814661,"about_ca_topic_score_gemma":0.0000020829707,"teacher_disagreement_score":0.30008298,"about_ca_system_score_codex":0.00014141093,"about_ca_system_score_gemma":0.00003633797,"threshold_uncertainty_score":0.9996606},"labels":[],"label_agreement":null},{"id":"W4409575207","doi":"10.61091/jcmcc127a-099","title":"Research on the efficacy of music aesthetic education on college students’ self-identity enhancement based on neural network modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identity (music); Artificial neural network; Psychology; Mathematics education; Aesthetics; Computer science; Art; Artificial intelligence","score_opus":0.04679191884739848,"score_gpt":0.36817848708879924,"score_spread":0.32138656824140077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409575207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97030056,0.00011329287,0.009789019,0.0022738795,0.01573,0.000493103,4.659993e-7,0.000031361527,0.0012683078],"genre_scores_gemma":[0.99691474,0.000013727548,0.002264014,0.00023093983,0.0005440982,0.00000840667,4.599961e-7,0.000011344498,0.000012290089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967421,0.00047515763,0.0008825618,0.00027743564,0.0012952597,0.0003274494],"domain_scores_gemma":[0.99508876,0.002813279,0.0006011478,0.00057137525,0.0008440295,0.00008143052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047967546,0.0002145691,0.00044660317,0.00045392415,0.0006208208,0.00019332797,0.0015862645,0.00015208246,0.0000040438977],"category_scores_gemma":[0.00047265048,0.00016489754,0.00013586062,0.0010337285,0.000092235,0.00013675651,0.00032038213,0.0009264765,0.0000031659906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105393585,0.00291257,0.00009237764,0.00005892389,0.00004298932,0.0000023254186,0.0004016866,0.006272882,0.000014786903,0.9883862,0.0007951676,0.00091468985],"study_design_scores_gemma":[0.0022134883,0.0018138294,0.0002597984,0.001131121,0.000039251885,0.000007970087,0.00038259706,0.19339699,0.00030175794,0.80009896,0.00019168651,0.00016257472],"about_ca_topic_score_codex":0.000005997746,"about_ca_topic_score_gemma":3.3791778e-7,"teacher_disagreement_score":0.18828726,"about_ca_system_score_codex":0.00018151119,"about_ca_system_score_gemma":0.0007079405,"threshold_uncertainty_score":0.67243266},"labels":[],"label_agreement":null},{"id":"W4409575246","doi":"10.61091/jcmcc127a-100","title":"Research on Electricity Marketing Inspection Methods Applying RPA Informationization Intelligent Management Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology and Security Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electricity; Engineering management; Business; Computer science; Manufacturing engineering; Marketing; Construction engineering; Systems engineering; Engineering; Electrical engineering","score_opus":0.022739461216127726,"score_gpt":0.34324191168923857,"score_spread":0.3205024504731108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409575246","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08832232,0.00035401544,0.8931696,0.00062222074,0.011227305,0.0006555747,1.720581e-7,0.00024776286,0.0054010507],"genre_scores_gemma":[0.9444591,0.00007976148,0.055193495,0.000025436086,0.00021010256,0.0000115163175,3.5985124e-7,0.000010323296,0.000009944278],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969848,0.00049766764,0.0012012122,0.00027070649,0.0006579582,0.00038768083],"domain_scores_gemma":[0.99654895,0.0012905045,0.00077442173,0.00041575162,0.00089977775,0.0000705834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009743022,0.00021009141,0.00051042874,0.0020679696,0.00078587345,0.00036947144,0.0010230062,0.00030965428,7.263634e-7],"category_scores_gemma":[0.0009814794,0.00019823246,0.00009199399,0.002900092,0.000104912164,0.00033231074,0.0006607053,0.0010906226,0.0000029119483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038170878,0.00024017051,0.00007927247,0.00020466735,0.00008519559,0.000007792072,0.00041026104,0.00006162114,0.00010368488,0.93846655,0.00016497904,0.060137637],"study_design_scores_gemma":[0.0015618704,0.0004969927,0.000118398595,0.00083929,0.000031211464,0.00006239802,0.0014044186,0.0640742,0.0045379903,0.9239593,0.0027025482,0.00021137127],"about_ca_topic_score_codex":0.0000029693485,"about_ca_topic_score_gemma":1.8564782e-7,"teacher_disagreement_score":0.85613674,"about_ca_system_score_codex":0.00028546233,"about_ca_system_score_gemma":0.00011295341,"threshold_uncertainty_score":0.8083685},"labels":[],"label_agreement":null},{"id":"W4409575249","doi":"10.61091/jcmcc127a-098","title":"Modeling of a lifting wing quadrotor and design of control laws for the transition phase","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Aerospace Engineering and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wing; Phase (matter); Control theory (sociology); Control (management); Aerospace engineering; Computer science; Engineering; Law; Simulation; Physics; Political science; Artificial intelligence","score_opus":0.011148027929954216,"score_gpt":0.23477207786818186,"score_spread":0.22362404993822765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409575249","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20313783,0.0014036344,0.79148614,0.00003549983,0.0034175005,0.0004634537,0.00000292237,0.00002267089,0.000030366307],"genre_scores_gemma":[0.99618626,0.000035479068,0.0033514283,0.000004312212,0.00039077314,0.000007333016,2.2276959e-7,0.000023468896,7.464678e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849194,0.000049691298,0.00096825283,0.000087941786,0.00022208883,0.0001800807],"domain_scores_gemma":[0.9978617,0.0013341217,0.00032471755,0.00012146481,0.00030535593,0.000052683103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001634753,0.00018111899,0.0007092672,0.00011641757,0.000120226054,0.000053252003,0.00016167245,0.00010381671,2.6355755e-7],"category_scores_gemma":[0.0002652224,0.00014553398,0.00013243537,0.00015081551,0.000038351947,0.000088620225,0.000020882811,0.00021331797,2.2818066e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045377418,0.00027692562,0.00001548839,0.0024610194,0.00078625546,0.0000021679573,0.0032279221,0.731037,0.024020486,0.23526148,0.0000461252,0.0024113262],"study_design_scores_gemma":[0.0077936337,0.00037037116,0.0000021298663,0.000886546,0.00023356534,0.000008766477,0.0005055386,0.9601293,0.000703024,0.029232632,0.000021066648,0.0001134191],"about_ca_topic_score_codex":0.0000067038077,"about_ca_topic_score_gemma":1.0269704e-7,"teacher_disagreement_score":0.7930484,"about_ca_system_score_codex":0.000030199917,"about_ca_system_score_gemma":0.000046899444,"threshold_uncertainty_score":0.5934704},"labels":[],"label_agreement":null},{"id":"W4409576356","doi":"10.61091/jcmcc127a-104","title":"Research on the design of intelligent control strategy for linear primary inverted pendulum based on deep reinforcement learning algorithm with SolidLab’s microcontroller programming","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inverted pendulum; Microcontroller; Reinforcement learning; Computer science; Algorithm; Control (management); Pendulum; Reinforcement; Control engineering; Artificial intelligence; Engineering; Computer hardware; Mechanical engineering; Nonlinear system; Structural engineering","score_opus":0.026775134582897892,"score_gpt":0.2830694452487726,"score_spread":0.2562943106658747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007916945,0.00023025952,0.98700035,0.00007517088,0.0024078942,0.0017723419,0.0000012774971,0.00004323825,0.000552511],"genre_scores_gemma":[0.99380594,0.0000173304,0.0056083724,0.00003210756,0.00044556617,0.000031950603,0.0000017234313,0.000045448563,0.00001157474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997194,0.00029143906,0.0011232315,0.00018812135,0.000752909,0.00045030477],"domain_scores_gemma":[0.9943095,0.0038661137,0.00052908604,0.00023805116,0.00095450436,0.000102749524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031509649,0.00031102053,0.00087367865,0.00032912826,0.00034880504,0.00013173599,0.00035012432,0.00014806919,0.00000219074],"category_scores_gemma":[0.00031223157,0.00021250718,0.000163919,0.00037515603,0.000094715,0.0000708993,0.000037017795,0.00086188054,5.6026704e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013749279,0.0003718077,0.000009220231,0.00053873286,0.00045888717,0.000010924554,0.000400369,0.87643015,0.0009724872,0.107095696,0.00009658976,0.012240237],"study_design_scores_gemma":[0.009294113,0.0034935165,0.0000038675043,0.0010245226,0.000103614664,0.0000064011706,0.00069565646,0.96205825,0.0017154606,0.020952167,0.00045151525,0.00020093037],"about_ca_topic_score_codex":0.0000041783856,"about_ca_topic_score_gemma":2.074341e-7,"teacher_disagreement_score":0.98588896,"about_ca_system_score_codex":0.00019503478,"about_ca_system_score_gemma":0.00017066879,"threshold_uncertainty_score":0.8665791},"labels":[],"label_agreement":null},{"id":"W4409576359","doi":"10.61091/jcmcc127a-130","title":"Frequent itemset mining optimization and computational complexity analysis based on improved Apriori algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Apriori algorithm; Computer science; Data mining; Association rule learning; A priori and a posteriori; Algorithm","score_opus":0.015688132115711365,"score_gpt":0.2707916611535055,"score_spread":0.25510352903779415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576359","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013556248,0.000092775124,0.9823748,0.0005423566,0.00287402,0.00022179328,0.000012958767,0.000055058863,0.00026998512],"genre_scores_gemma":[0.37810206,0.000009075585,0.6215344,0.00010882653,0.00021351369,0.000003361204,0.0000133792255,0.000011580439,0.0000037540572],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997521,0.000119533775,0.0011409669,0.00038971493,0.0005504886,0.0002782893],"domain_scores_gemma":[0.9967774,0.0010671946,0.0009818318,0.00038775557,0.00060690334,0.00017888608],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015236994,0.00028943352,0.0007404112,0.0006515866,0.000472021,0.00065397355,0.0006499735,0.00012865032,0.0000027798528],"category_scores_gemma":[0.00025210177,0.00027275467,0.00017262911,0.0013090785,0.00012006162,0.00029626073,0.00032033853,0.0003343914,4.2707404e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026463145,0.0008112104,0.0002433194,0.000107314314,0.00050312007,0.000010244933,0.0005836129,0.036363944,0.00003088849,0.93572134,0.00022745797,0.025371062],"study_design_scores_gemma":[0.0021268777,0.00028870304,0.00025025566,0.00014882526,0.00020769771,0.000010093706,0.00007791646,0.8661748,0.00003789782,0.13031486,0.00015497759,0.00020710178],"about_ca_topic_score_codex":0.000014821023,"about_ca_topic_score_gemma":3.5278313e-7,"teacher_disagreement_score":0.82981086,"about_ca_system_score_codex":0.0000998851,"about_ca_system_score_gemma":0.00021364866,"threshold_uncertainty_score":0.99997246},"labels":[],"label_agreement":null},{"id":"W4409576360","doi":"10.61091/jcmcc127a-122","title":"Assessment and statistical modeling of economic quality index based on deep learning models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Economic and Technological Systems Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Deep learning; Quality (philosophy); Computer science; Artificial intelligence; Econometrics; Mathematics; World Wide Web","score_opus":0.02497847671509137,"score_gpt":0.27769003633196726,"score_spread":0.2527115596168759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75390345,0.00008166747,0.23700772,0.00012393644,0.002075177,0.00015878372,8.237784e-7,0.00003092961,0.0066175354],"genre_scores_gemma":[0.997722,0.000009627755,0.0018137331,0.000039887505,0.00039622438,0.000001407545,0.0000013388953,0.000013604599,0.0000021621393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980149,0.00004559761,0.0012693492,0.00021124216,0.000261544,0.00019734306],"domain_scores_gemma":[0.9977999,0.0005951801,0.0011769889,0.00015396708,0.00024402556,0.000029988867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020681669,0.0002070031,0.00086966855,0.0003646437,0.00020777332,0.00023763234,0.0002263535,0.00014960194,0.000008619984],"category_scores_gemma":[0.00026203404,0.00018008579,0.00012937651,0.00017161087,0.0000711118,0.00025467263,0.00020769506,0.00041754235,7.333901e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049657207,0.00018194198,0.0056077223,0.0002980156,0.00008643527,0.0000021327314,0.00001751391,0.04477977,0.000011853379,0.947505,0.000008736819,0.0014512294],"study_design_scores_gemma":[0.0012791746,0.00005733403,0.0003756316,0.00015489334,0.00006503913,6.583451e-7,0.00016295607,0.5556888,0.000002332483,0.44209296,0.000026820035,0.00009339823],"about_ca_topic_score_codex":0.000111730595,"about_ca_topic_score_gemma":0.0000018160379,"teacher_disagreement_score":0.510909,"about_ca_system_score_codex":0.00009966754,"about_ca_system_score_gemma":0.00006686696,"threshold_uncertainty_score":0.7343685},"labels":[],"label_agreement":null},{"id":"W4409576362","doi":"10.61091/jcmcc127a-119","title":"Geometric Algorithms for Garment Pattern Design and Pattern Generation Based on Graphical Processing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Geometric pattern; Engineering drawing; Engineering; CAD","score_opus":0.01727404154635523,"score_gpt":0.24448565972594594,"score_spread":0.2272116181795907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576362","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06237395,0.00029081712,0.9323647,0.0000767156,0.004463625,0.00033777618,0.0000012333752,0.00004201562,0.00004917605],"genre_scores_gemma":[0.9864735,0.00004417904,0.012831294,0.00004154757,0.00056903844,0.0000080466625,0.0000025084796,0.000028259414,0.0000016546076],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986486,0.000038266062,0.00063763227,0.00016130679,0.0003025253,0.00021167194],"domain_scores_gemma":[0.9988861,0.00039679543,0.00027452657,0.0000984993,0.0002567,0.00008734159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085390283,0.00022239861,0.0004140303,0.0004115389,0.00021234149,0.0002682589,0.0001332468,0.00013159159,0.0000015036014],"category_scores_gemma":[0.00011969631,0.00020041084,0.00007235027,0.00027042566,0.00002541942,0.00010370442,0.000034790733,0.00023819812,1.1289365e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014391608,0.001145266,0.00043514924,0.004969749,0.00030570806,0.000017197171,0.0009927792,0.35553902,0.00046674223,0.022394449,0.0010716318,0.61251837],"study_design_scores_gemma":[0.0030207348,0.00044361866,0.00007516725,0.00042810733,0.00007989059,0.0000053819836,0.000025974003,0.9722934,0.002293841,0.021015586,0.00012552826,0.0001927766],"about_ca_topic_score_codex":0.0000011659231,"about_ca_topic_score_gemma":5.9097182e-8,"teacher_disagreement_score":0.9240995,"about_ca_system_score_codex":0.00006359645,"about_ca_system_score_gemma":0.00005182232,"threshold_uncertainty_score":0.8172517},"labels":[],"label_agreement":null},{"id":"W4409576364","doi":"10.61091/jcmcc127a-129","title":"A Study of Multi-Objective Decision Analysis in Educational Behavior and Its Implementation Path in Individualized Instruction","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path analysis (statistics); Computer science; Path (computing); Mathematics education; Psychology; Machine learning; Computer network","score_opus":0.018357142235289284,"score_gpt":0.33692971442744324,"score_spread":0.31857257219215396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978671,0.000032159573,0.00018538599,0.00003558233,0.0014060419,0.00037931107,0.000001718831,0.0000019470688,0.000090753325],"genre_scores_gemma":[0.9977366,0.000011329619,0.0021840523,0.0000051215384,0.000043911303,0.0000095056375,0.0000023039665,0.000004972114,0.0000022310644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825835,0.00007104637,0.0010157432,0.00015388626,0.00038327568,0.000117694],"domain_scores_gemma":[0.99877924,0.00031914105,0.00063918607,0.00008045541,0.00014160208,0.00004035762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010735627,0.00011714641,0.00038617168,0.00058636954,0.00009658665,0.000041497133,0.0001267002,0.00006107753,0.000019548086],"category_scores_gemma":[0.00026216704,0.00010469187,0.000046636214,0.001488124,0.000032525528,0.0002462362,0.00013860922,0.00019448582,2.1821184e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007004013,0.004050559,0.8813564,0.00003229941,0.00012623308,0.0000022595545,0.008368034,0.00028492918,0.00043765048,0.09997314,0.000011058018,0.005287402],"study_design_scores_gemma":[0.0065850853,0.00032234038,0.9142901,0.00009057359,0.0001587127,0.0000048784495,0.006380001,0.0014378291,0.00012539343,0.070497446,0.000006290478,0.00010135753],"about_ca_topic_score_codex":0.00018797535,"about_ca_topic_score_gemma":0.00008999019,"teacher_disagreement_score":0.0329337,"about_ca_system_score_codex":0.00020064463,"about_ca_system_score_gemma":0.00009052257,"threshold_uncertainty_score":0.42692104},"labels":[],"label_agreement":null},{"id":"W4409576366","doi":"10.61091/jcmcc127a-118","title":"Intelligent Review Mechanism for Legal Compliance in Public Security Forensic System Based on Blockchain Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Mechanism (biology); Compliance (psychology); Public security; Computer security; Forensic science; Computer science; Business; Political science; Medicine; Psychology; Public relations","score_opus":0.03455739635275104,"score_gpt":0.3320196958108183,"score_spread":0.29746229945806724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79383266,0.013182161,0.09859467,0.032817286,0.039937403,0.011710976,0.000028832605,0.00031822047,0.009577806],"genre_scores_gemma":[0.99664026,0.0001547405,0.0026374664,0.00024476936,0.00026912132,0.000022435524,0.000002568196,0.000019898069,0.000008707005],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973397,0.00010160167,0.0011769511,0.00024774807,0.00070166506,0.00043228388],"domain_scores_gemma":[0.9970425,0.0009083858,0.00054143794,0.00028976236,0.00095198484,0.00026597132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020445317,0.00025701252,0.0011770555,0.0005848908,0.00014759102,0.00006205882,0.00026979868,0.00019731927,0.0000035588023],"category_scores_gemma":[0.0034346187,0.00020312806,0.00021204681,0.0006940823,0.00009001404,0.000036352994,0.00010978183,0.0006521952,0.0000014326828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002754081,0.0011340025,0.000113456386,0.0060475254,0.00012270214,0.00010765022,0.00002611773,0.000001578961,0.000032569442,0.9884706,0.00030296764,0.0033654042],"study_design_scores_gemma":[0.0171383,0.0039534527,0.0000219427,0.04294808,0.00029659618,0.00014545878,0.00027519028,0.08362773,0.0017060066,0.84845203,0.0011751705,0.00026001886],"about_ca_topic_score_codex":0.000004932445,"about_ca_topic_score_gemma":6.804249e-7,"teacher_disagreement_score":0.20280765,"about_ca_system_score_codex":0.00035854138,"about_ca_system_score_gemma":0.00054590084,"threshold_uncertainty_score":0.8283322},"labels":[],"label_agreement":null},{"id":"W4409576368","doi":"10.61091/jcmcc127a-108","title":"A neural network-based study on improving the interactive effect of teaching Marxist theory in Civics courses","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Civics; Marxist philosophy; Mathematics education; Artificial neural network; Computer science; Artificial intelligence; Psychology; Political science; Law","score_opus":0.012096994560573428,"score_gpt":0.32795707561842263,"score_spread":0.3158600810578492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860924,0.00006937378,0.00032498696,0.0004814483,0.009758222,0.00049076113,4.7577038e-7,0.000011887563,0.002770428],"genre_scores_gemma":[0.9989389,0.0000014072003,0.00009177721,0.000058918395,0.0008892915,0.000003674784,2.4007142e-7,0.000008073163,0.000007718712],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965742,0.0017642806,0.0007639091,0.00013751384,0.00045855402,0.00030150192],"domain_scores_gemma":[0.9885123,0.010371387,0.0006714464,0.00014020306,0.00022910988,0.000075569085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008096807,0.00017204284,0.0005790398,0.00013522604,0.0005022565,0.00013941296,0.00038228702,0.00010502223,0.0000037584891],"category_scores_gemma":[0.0046877274,0.00011145302,0.0001306208,0.00030080153,0.00018704344,0.000095688345,0.00010494095,0.00079067046,2.474065e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039463135,0.0009121414,0.009467006,0.00007871918,0.000047772985,0.000005543417,0.0051281396,0.00020545897,0.000017213813,0.9806148,0.00003865517,0.0030899204],"study_design_scores_gemma":[0.0059461095,0.0042200056,0.007151574,0.0010217367,0.00024670208,0.0000024411925,0.010566094,0.004930751,0.00017768297,0.9652632,0.00021113167,0.00026261056],"about_ca_topic_score_codex":0.00014123456,"about_ca_topic_score_gemma":0.0000071295813,"teacher_disagreement_score":0.015351636,"about_ca_system_score_codex":0.00013224783,"about_ca_system_score_gemma":0.00022633538,"threshold_uncertainty_score":0.5611986},"labels":[],"label_agreement":null},{"id":"W4409576369","doi":"10.61091/jcmcc127a-105","title":"A quantitative analysis study of FinTech on banks’ operational efficiency and risk management based on Monte Carlo simulation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Monte Carlo method; Operational risk management; Operational risk; Computer science; Risk management; Risk analysis (engineering); Reliability engineering; Business; Statistics; Engineering; Mathematics; Finance","score_opus":0.014441529135139727,"score_gpt":0.2710308301304726,"score_spread":0.25658930099533284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98031807,0.00004569534,0.014247333,0.00004563298,0.0023392101,0.00050820084,0.0000026334844,0.000023803621,0.0024693985],"genre_scores_gemma":[0.99897605,0.0000059245203,0.0007483792,0.000041379924,0.00019752647,0.0000035546989,0.0000010675388,0.000017311111,0.000008804923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99768853,0.000050742878,0.0010553229,0.00029373117,0.00070749846,0.00020418799],"domain_scores_gemma":[0.9968428,0.000898413,0.0013616811,0.00021869768,0.0006553567,0.000023073593],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013956786,0.00027995594,0.0007392287,0.0011881541,0.00031122414,0.0003850341,0.00027804787,0.00008404473,0.0000036403146],"category_scores_gemma":[0.00075734657,0.00024844697,0.00016425503,0.0013932227,0.00006725549,0.0003180464,0.00020200179,0.00032605833,0.000001236717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006347839,0.0029820842,0.01134623,0.0003755869,0.0007077883,0.00001683653,0.00037630397,0.14808255,0.000010428796,0.83389974,0.00006707093,0.0015005908],"study_design_scores_gemma":[0.005239508,0.0012632888,0.004963925,0.0006067653,0.00096036453,5.258491e-7,0.0008346215,0.9223767,0.000024491956,0.06336536,0.00011209739,0.00025235576],"about_ca_topic_score_codex":0.00006077491,"about_ca_topic_score_gemma":0.0000033851309,"teacher_disagreement_score":0.77429414,"about_ca_system_score_codex":0.000073764975,"about_ca_system_score_gemma":0.00003454017,"threshold_uncertainty_score":0.9999968},"labels":[],"label_agreement":null},{"id":"W4409576370","doi":"10.61091/jcmcc127a-125","title":"Multilevel weighted computational method of teaching quality assessment model for college courses and its validation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Quality (philosophy); Multilevel model; Mathematics education; Machine learning; Psychology","score_opus":0.06849770128337065,"score_gpt":0.4505410909493794,"score_spread":0.3820433896660087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576370","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29886442,0.00007325836,0.6933671,0.00086712284,0.004219416,0.0007018593,0.000025649322,0.00002914201,0.0018520113],"genre_scores_gemma":[0.7441788,0.000008164169,0.25544527,0.000021947939,0.0003000014,0.0000055579108,0.0000030103174,0.000009935875,0.000027322927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99735004,0.00043448948,0.0011816976,0.00017462648,0.0006589865,0.00020015411],"domain_scores_gemma":[0.9923721,0.0037280142,0.0014001514,0.000086333224,0.0023345894,0.00007879041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007941032,0.00017092911,0.0006146964,0.00027683153,0.0006690907,0.000098089244,0.00024789482,0.00014938938,0.000002204648],"category_scores_gemma":[0.0020344807,0.00016857829,0.000104263934,0.00024469904,0.00011612965,0.00024832887,0.00010116746,0.0003205697,4.5691248e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050108607,0.00045477308,0.0001669536,0.00022267901,0.00009538612,2.574291e-7,0.003310686,0.00018614456,0.00044297206,0.9936977,0.00028248984,0.001089874],"study_design_scores_gemma":[0.00172646,0.00012350133,0.00019131643,0.0002817711,0.00006461142,0.000001955825,0.001459996,0.18115953,0.00069539814,0.81396,0.00020508518,0.00013037147],"about_ca_topic_score_codex":0.000023612485,"about_ca_topic_score_gemma":7.1063255e-7,"teacher_disagreement_score":0.44531435,"about_ca_system_score_codex":0.00018911583,"about_ca_system_score_gemma":0.0009698026,"threshold_uncertainty_score":0.6874423},"labels":[],"label_agreement":null},{"id":"W4409576374","doi":"10.61091/jcmcc127a-120","title":"Research on Deep Learning-based Consumer Journey Node Recognition and Precise Online Marketing Strategy Construction Methodology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Online advertising; Computer science; Deep learning; Node (physics); Marketing; Marketing research; Digital marketing; Artificial intelligence; Advertising; Business; Data science; Engineering; World Wide Web; The Internet","score_opus":0.09421241271249257,"score_gpt":0.3483123559961492,"score_spread":0.2540999432836566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98621947,0.0002257644,0.004142826,0.0012719055,0.005666821,0.0002782525,0.0000014895035,0.00007077078,0.0021227256],"genre_scores_gemma":[0.9919495,0.00005123261,0.006706789,0.00015966599,0.0010865058,0.000003391733,0.00000990855,0.000026388474,0.0000066299667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997617,0.00030450587,0.0010240009,0.00026123738,0.00043965277,0.0003536139],"domain_scores_gemma":[0.9941295,0.0030251062,0.0010242217,0.00017524986,0.0016135239,0.000032395285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064150575,0.0002438246,0.00060609344,0.0012777685,0.0007119445,0.0003963914,0.0002652804,0.00030432403,0.000018297827],"category_scores_gemma":[0.0036762655,0.00022940022,0.00008982129,0.0010488331,0.00037277697,0.00031443703,0.00022173571,0.001506458,0.000005415371],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006272436,0.00093875936,0.0031935077,0.00074125937,0.00022252275,0.00002538762,0.00010543139,0.00024546514,0.0004999592,0.9193661,0.00059163955,0.07344271],"study_design_scores_gemma":[0.006119582,0.0003205027,0.0015309649,0.0014060512,0.00023373414,0.000047493177,0.0037308605,0.017476115,0.00032063614,0.9663003,0.002167446,0.00034629693],"about_ca_topic_score_codex":0.000035240704,"about_ca_topic_score_gemma":0.0000038071116,"teacher_disagreement_score":0.07309642,"about_ca_system_score_codex":0.00006575216,"about_ca_system_score_gemma":0.00010433117,"threshold_uncertainty_score":0.93546695},"labels":[],"label_agreement":null},{"id":"W4409576375","doi":"10.61091/jcmcc127a-135","title":"Electricity load identification model construction and adjustable capacity optimization based on improved support vector machine algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Support vector machine; Optimization algorithm; Computer science; Electricity; Algorithm; Mathematical optimization; Engineering; Machine learning; Mathematics; Electrical engineering","score_opus":0.006640917164727401,"score_gpt":0.22245729530738995,"score_spread":0.21581637814266255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576375","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021474231,0.00010407538,0.9743674,0.000059821337,0.003205696,0.00028032868,0.000011183017,0.00007526134,0.0004220324],"genre_scores_gemma":[0.86559653,0.000066677,0.13402155,0.00001763594,0.00025291194,0.000005969604,0.0000053467315,0.000026519778,0.00000688609],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854165,0.000027558863,0.00074546895,0.00017701868,0.00029865903,0.00020966295],"domain_scores_gemma":[0.99868995,0.0002042163,0.00038482135,0.00017125005,0.00044894224,0.00010084272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005961991,0.00022279588,0.00042017718,0.00018488729,0.00024211741,0.00014333225,0.00014026796,0.000133171,0.0000025544628],"category_scores_gemma":[0.00014597962,0.00022175895,0.00006994031,0.0003449062,0.0000583881,0.0001901922,0.000038057042,0.00037733963,3.1064104e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073532865,0.0005414297,0.00003212813,0.00044123144,0.0001351284,0.0000024907663,0.00027671285,0.6391541,0.004047739,0.3246906,0.00016520135,0.030439721],"study_design_scores_gemma":[0.0018912654,0.00013956543,0.00001497212,0.00008943078,0.00007296221,0.000010834336,0.00003195889,0.90423447,0.0025234886,0.09074553,0.00007846712,0.00016705565],"about_ca_topic_score_codex":0.0000051652773,"about_ca_topic_score_gemma":2.391726e-7,"teacher_disagreement_score":0.8441223,"about_ca_system_score_codex":0.00020348244,"about_ca_system_score_gemma":0.00012307131,"threshold_uncertainty_score":0.90430677},"labels":[],"label_agreement":null},{"id":"W4409576377","doi":"10.61091/jcmcc127a-107","title":"Research on intelligent perception and optimization model of urban green space based on support vector regression","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perception; Space (punctuation); Support vector machine; Computer science; Regression; Artificial intelligence; Regression analysis; Machine learning; Psychology; Statistics; Mathematics","score_opus":0.03456864305272691,"score_gpt":0.2946548418554145,"score_spread":0.26008619880268763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97294086,0.00008567094,0.017329568,0.00045235068,0.004753273,0.0002705897,0.000005103851,0.000018389548,0.0041442127],"genre_scores_gemma":[0.9945955,0.000054760065,0.0049766465,0.000027553619,0.00030712012,6.301615e-8,0.0000041365697,0.000006736557,0.000027435693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815,0.0001991927,0.00058651,0.00018217484,0.0006701339,0.00021201318],"domain_scores_gemma":[0.9980484,0.00085585733,0.00040158053,0.00017039977,0.00040123478,0.00012251046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019894345,0.00016706737,0.0004219413,0.00040375374,0.00025523792,0.00010476093,0.00016411176,0.0001395863,0.000014396121],"category_scores_gemma":[0.00026896715,0.00012243314,0.00007732347,0.00030006334,0.00009130961,0.00007926669,0.000030742827,0.000445927,0.0000011107228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027382902,0.0012752512,0.0051025376,0.0010560772,0.00014564818,0.000032979147,0.0038656383,0.74216473,0.00041351814,0.19712448,0.0018585151,0.044222318],"study_design_scores_gemma":[0.0014707507,0.0015667366,0.00061768247,0.00086363166,0.000033659755,0.0000052419673,0.00033339183,0.95507216,0.00023947188,0.039624184,0.000057403595,0.000115671704],"about_ca_topic_score_codex":0.00006672303,"about_ca_topic_score_gemma":0.000001687672,"teacher_disagreement_score":0.21290742,"about_ca_system_score_codex":0.00002436909,"about_ca_system_score_gemma":0.00014568647,"threshold_uncertainty_score":0.49926785},"labels":[],"label_agreement":null},{"id":"W4409576378","doi":"10.61091/jcmcc127a-112","title":"Research on the Intelligent Development Path of Civic Education Theory System in the New Era Based on Deep Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Mathematics education; Engineering ethics; Political science; Computer science; Artificial intelligence; Sociology; Cognitive science; Psychology; Engineering","score_opus":0.022035385193194857,"score_gpt":0.30435200119997974,"score_spread":0.28231661600678487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723808,0.000070049275,0.0032903966,0.0010599485,0.0041563814,0.00043217142,1.560764e-7,0.000006667246,0.018603437],"genre_scores_gemma":[0.9988354,0.000005299559,0.0007978751,0.00009601973,0.00021909122,0.0000063165908,7.000318e-7,0.000007970745,0.00003135779],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977304,0.00035222308,0.0007461051,0.00012632454,0.00086030894,0.00018468694],"domain_scores_gemma":[0.9965838,0.0025460133,0.00045151764,0.0001928825,0.00017906578,0.00004671946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069028246,0.00012593207,0.0002287275,0.0002178706,0.00039952752,0.00009661782,0.00046095083,0.00006510272,0.000021637208],"category_scores_gemma":[0.000765539,0.00007161509,0.000057187895,0.00084312307,0.000088117995,0.00006211773,0.000104643725,0.00072380167,0.000005049171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048385697,0.0006488513,0.00042527422,0.00005888846,0.000013811777,6.274243e-7,0.0024487467,0.0010530985,0.000047961017,0.9859164,0.00042762794,0.008910338],"study_design_scores_gemma":[0.0015985821,0.0010016807,0.009159513,0.0026035367,0.00003333288,0.000009227485,0.025433853,0.012167513,0.0014603056,0.939633,0.006668538,0.0002308826],"about_ca_topic_score_codex":0.000022391196,"about_ca_topic_score_gemma":0.0000012328403,"teacher_disagreement_score":0.046283357,"about_ca_system_score_codex":0.00036101727,"about_ca_system_score_gemma":0.0004627914,"threshold_uncertainty_score":0.31445983},"labels":[],"label_agreement":null},{"id":"W4409576380","doi":"10.61091/jcmcc127a-133","title":"An empirical study of multi-factor decision tree analysis in the optimization of university management evaluation system","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Factor (programming language); Decision tree; Computer science; Management science; Operations research; Engineering; Artificial intelligence; Programming language","score_opus":0.027773583975935164,"score_gpt":0.34272657179160065,"score_spread":0.3149529878156655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6929276,0.000026940497,0.30517167,0.000048095528,0.001446281,0.00028432944,3.3621288e-7,0.0000074655723,0.00008725169],"genre_scores_gemma":[0.9663735,0.000005242497,0.033583783,0.0000028976267,0.000029900517,9.1740174e-7,5.111523e-7,0.0000025504512,7.0082774e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978283,0.00047109995,0.0007821412,0.00016533949,0.00065338734,0.000099754834],"domain_scores_gemma":[0.99752903,0.00069858733,0.000821389,0.00034604387,0.0005751097,0.000029831635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032345788,0.00011177603,0.00043907837,0.0007026389,0.00011658454,0.000051251176,0.0008394733,0.00007968352,7.197526e-7],"category_scores_gemma":[0.000117982774,0.00008793283,0.000089775334,0.0016403991,0.00003255072,0.00019012633,0.00016480884,0.00017847354,4.3724516e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102534876,0.0069470135,0.017815806,0.00016406285,0.0006012439,0.000011696069,0.0049303253,0.040898036,0.000023578346,0.92286664,0.000014117323,0.0056249234],"study_design_scores_gemma":[0.005609781,0.0008637502,0.041556355,0.00026514934,0.0006338164,0.000004175966,0.012253756,0.89352196,0.00005999601,0.045109734,0.000005007402,0.000116511874],"about_ca_topic_score_codex":0.000009809269,"about_ca_topic_score_gemma":0.000002491173,"teacher_disagreement_score":0.87775695,"about_ca_system_score_codex":0.00012376311,"about_ca_system_score_gemma":0.00012081621,"threshold_uncertainty_score":0.35857967},"labels":[],"label_agreement":null},{"id":"W4409576382","doi":"10.61091/jcmcc127a-109","title":"A Comparative Study on Optimizing Intelligent Tutoring System Based on Genetic Algorithm to Enhance the Effectiveness of Ideological and Political Education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ideology; Political education; Genetic algorithm; Politics; Computer science; Intelligent tutoring system; Algorithm; Artificial intelligence; Machine learning; Political science; Law","score_opus":0.016677866500542284,"score_gpt":0.31135451898464955,"score_spread":0.2946766524841073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576382","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48808143,0.00009060781,0.5025042,0.000077911376,0.007921822,0.0007148991,3.8469668e-7,0.000026523438,0.00058219803],"genre_scores_gemma":[0.9860894,9.460585e-7,0.013488865,0.00002804059,0.00036368286,0.000012015254,1.00939864e-7,0.000010433658,0.000006491474],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969356,0.0008406456,0.0009691384,0.0003368646,0.00061136455,0.0003063691],"domain_scores_gemma":[0.9947819,0.0035345631,0.00057902845,0.00034264216,0.0006115489,0.00015033562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032929422,0.0002798828,0.00082693814,0.0003092917,0.00031116363,0.00025742315,0.0006006378,0.00008716728,2.3320482e-7],"category_scores_gemma":[0.00047224088,0.00019902756,0.00011404405,0.00043521647,0.00006154434,0.00008660367,0.00029245447,0.00047999772,9.411317e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012528541,0.0009216972,0.0003384532,0.00025589662,0.00008605169,0.0000094660745,0.001315327,0.002461889,0.00019982176,0.99173546,0.0000044446765,0.0025461847],"study_design_scores_gemma":[0.008994907,0.028292824,0.021022458,0.032728117,0.0005456059,0.0002054409,0.026617361,0.55034775,0.052828602,0.2758154,0.00062991056,0.0019716064],"about_ca_topic_score_codex":0.000023938783,"about_ca_topic_score_gemma":6.961217e-8,"teacher_disagreement_score":0.7159201,"about_ca_system_score_codex":0.00023307241,"about_ca_system_score_gemma":0.00022906125,"threshold_uncertainty_score":0.8116109},"labels":[],"label_agreement":null},{"id":"W4409576383","doi":"10.61091/jcmcc127a-139","title":"Container scheduling optimization strategy based on clustering algorithm in port logistics system","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Container (type theory); Cluster analysis; Scheduling (production processes); Port (circuit theory); Algorithm; Engineering; Operations management; Artificial intelligence; Mechanical engineering","score_opus":0.011011557474576467,"score_gpt":0.23460942487045242,"score_spread":0.22359786739587595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576383","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01118113,0.00017918885,0.96932554,0.000027240305,0.01216454,0.00025535887,0.0000033812703,0.00009410309,0.006769493],"genre_scores_gemma":[0.9706537,0.00001888022,0.028750679,0.000016735006,0.00051718083,0.000001931638,0.0000028653294,0.00003364495,0.0000043513373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978901,0.00005485359,0.0012213129,0.00015928807,0.00037190353,0.0003025328],"domain_scores_gemma":[0.99857336,0.00045720566,0.00037354376,0.00018549897,0.0003044761,0.00010592487],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011730444,0.0002821121,0.00069748255,0.00038069268,0.000116236544,0.00019628632,0.0002219349,0.000200964,0.0000047086155],"category_scores_gemma":[0.00023717432,0.00027132523,0.000095453826,0.00033153346,0.000044669523,0.00008833824,0.00006741654,0.00053196115,4.43224e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029721188,0.00015479415,0.0000901096,0.0005329508,0.00004071752,0.00007288681,0.000050669292,0.82935035,0.000010602406,0.1671759,0.000037591864,0.0024537086],"study_design_scores_gemma":[0.0028217016,0.00023532796,0.000043899185,0.0011733266,0.00006140036,0.000021915586,0.00026085047,0.98069876,0.000050937833,0.014338241,0.00006545889,0.00022819679],"about_ca_topic_score_codex":0.000010140336,"about_ca_topic_score_gemma":5.679105e-7,"teacher_disagreement_score":0.9594726,"about_ca_system_score_codex":0.00024027271,"about_ca_system_score_gemma":0.00012671795,"threshold_uncertainty_score":0.9999739},"labels":[],"label_agreement":null},{"id":"W4409576386","doi":"10.61091/jcmcc127a-136","title":"Analyzing Semantic Alignment Mechanisms and Translation Accuracy in English-Chinese Translation Using Support Vector Machines","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Translation (biology); Computer science; Natural language processing; Artificial intelligence; Machine translation; Support vector machine; Biology","score_opus":0.013830815796082908,"score_gpt":0.2899171666701963,"score_spread":0.2760863508741134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576386","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30667356,0.0019674515,0.6853488,0.00022621822,0.005279041,0.00032364935,7.8113624e-7,0.000097410804,0.00008306409],"genre_scores_gemma":[0.7786833,0.000036396246,0.2210459,0.0000172753,0.00020154036,0.000001126722,7.2355635e-7,0.00001300691,7.4727075e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977494,0.00014200869,0.0011042188,0.000284846,0.0004431194,0.00027640405],"domain_scores_gemma":[0.99776566,0.00086323975,0.0007306508,0.00021637493,0.00033080307,0.00009328165],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018532517,0.0002898084,0.0006601396,0.00053783576,0.000202316,0.00044394057,0.00049345783,0.00016500053,0.0000011968262],"category_scores_gemma":[0.000479473,0.00025167048,0.0001082258,0.0007473519,0.000039719802,0.0007785925,0.00018312002,0.0004382282,9.5238846e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007094173,0.00034184792,0.00068589573,0.00056302466,0.00008833841,0.000043186716,0.005806441,0.00009654526,0.011123611,0.9521039,0.000008386,0.029067887],"study_design_scores_gemma":[0.002489471,0.00020835716,0.00009920185,0.0006512634,0.0000660086,0.00004547855,0.000082599014,0.17767103,0.0021525465,0.81626344,0.000018968287,0.00025161158],"about_ca_topic_score_codex":0.000021296271,"about_ca_topic_score_gemma":0.0000017198158,"teacher_disagreement_score":0.47200975,"about_ca_system_score_codex":0.00010163851,"about_ca_system_score_gemma":0.00014141793,"threshold_uncertainty_score":0.99999356},"labels":[],"label_agreement":null},{"id":"W4409576387","doi":"10.61091/jcmcc127a-114","title":"Research on Prediction of E-commerce Users’ Purchase Behavior Based on Gradient Boosting Decision Tree Model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gradient boosting; Decision tree; Boosting (machine learning); Computer science; Tree (set theory); Machine learning; Artificial intelligence; Decision tree model; Random forest; Mathematics","score_opus":0.05000998375508813,"score_gpt":0.3186778431035371,"score_spread":0.26866785934844895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801494,0.000028058466,0.007501608,0.000802203,0.005575261,0.00042001466,0.000002747221,0.00005687494,0.0054638595],"genre_scores_gemma":[0.99756587,0.0000050725534,0.0015625757,0.00015453775,0.00066293735,0.000008001102,0.00000439659,0.000029035686,0.000007551529],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971433,0.000045686687,0.0012600141,0.00025922593,0.00093967357,0.00035204182],"domain_scores_gemma":[0.99610484,0.0011247251,0.0009729968,0.00039803865,0.0013668415,0.000032561642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031511344,0.00026054092,0.0006017117,0.0017190492,0.00056542724,0.00020659908,0.00054085464,0.0002458128,0.000005148184],"category_scores_gemma":[0.001248248,0.0002350756,0.00016704437,0.0014138877,0.00019148961,0.00029927102,0.0002868667,0.0009874923,0.0000037400487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003066392,0.0017751866,0.0015855008,0.0001929168,0.00004469579,0.0000105466515,0.000071324066,0.0013383012,0.00035093716,0.9863337,0.0012643377,0.0067258626],"study_design_scores_gemma":[0.007349206,0.0011939056,0.001787976,0.0023598662,0.00023151137,0.0000057069237,0.0008263985,0.2777662,0.00062617834,0.7070126,0.00056983804,0.00027059158],"about_ca_topic_score_codex":0.000024791289,"about_ca_topic_score_gemma":0.0000012696304,"teacher_disagreement_score":0.27932113,"about_ca_system_score_codex":0.00011969641,"about_ca_system_score_gemma":0.00011496058,"threshold_uncertainty_score":0.9586105},"labels":[],"label_agreement":null},{"id":"W4409576388","doi":"10.61091/jcmcc127a-142","title":"A Study on Enhancing Semantic Accuracy in English Translation Teaching Using Convolutional Neural Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Convolutional neural network; Translation (biology); Natural language processing; Artificial intelligence; Chemistry","score_opus":0.030831409560506937,"score_gpt":0.3269660208998385,"score_spread":0.29613461133933155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84447396,0.00020660063,0.14056097,0.0002153537,0.013970401,0.0002939521,2.0666303e-7,0.000048117345,0.0002304461],"genre_scores_gemma":[0.9924884,0.0000047771837,0.006757883,0.000044204124,0.00068955077,0.0000021642506,4.3528112e-7,0.0000108064905,0.0000017991736],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997586,0.0002937923,0.0011200233,0.00027293264,0.0004234902,0.0003037302],"domain_scores_gemma":[0.9962807,0.0023664818,0.0006797842,0.0002617323,0.00033994796,0.000071312716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025643383,0.00023514657,0.0005581555,0.00054037006,0.00035671605,0.000214378,0.0006514551,0.00017477993,8.865696e-7],"category_scores_gemma":[0.0010897705,0.0002287877,0.000104374005,0.00052655285,0.00004998702,0.00041017245,0.00019500802,0.0010493629,2.5402989e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051851708,0.0013972629,0.0033288826,0.000052682546,0.0000783935,0.000022667793,0.005476622,0.0033433354,0.0001780605,0.9830984,0.000016601396,0.0029552807],"study_design_scores_gemma":[0.006158913,0.0009668674,0.0032412536,0.00079753203,0.00008416831,0.00007269827,0.0026736613,0.5091956,0.00016150258,0.4761805,0.00006914309,0.0003981052],"about_ca_topic_score_codex":0.000013797552,"about_ca_topic_score_gemma":0.0000018424906,"teacher_disagreement_score":0.50691783,"about_ca_system_score_codex":0.00013999997,"about_ca_system_score_gemma":0.00024330668,"threshold_uncertainty_score":0.9329692},"labels":[],"label_agreement":null},{"id":"W4409576390","doi":"10.61091/jcmcc127a-127","title":"Design of Deep Learning-Based Emotion Classification and Intervention Pathways for Students in Psychoeducation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychoeducation; Intervention (counseling); Psychology; Computer science; Applied psychology; Artificial intelligence; Psychiatry","score_opus":0.024299464617794888,"score_gpt":0.3278148539764454,"score_spread":0.3035153893586505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576390","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33845618,0.000114622715,0.6584641,0.0002304851,0.0025037085,0.00020053089,1.3995934e-7,0.000012871393,0.000017364324],"genre_scores_gemma":[0.97257894,0.000021619117,0.02725649,0.000008742892,0.000119510085,0.000002547824,0.0000011621051,0.000007934703,0.0000030674823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998285,0.00019829326,0.00089071377,0.00017364786,0.00030889022,0.00014343167],"domain_scores_gemma":[0.99758697,0.0007515809,0.0009998558,0.00013991476,0.00047200266,0.000049678412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025425882,0.0001347825,0.00039121683,0.00037714792,0.00011530155,0.00017155612,0.000358698,0.00010302207,2.9007643e-7],"category_scores_gemma":[0.00064876984,0.00013114694,0.000083175844,0.0003758525,0.00003461268,0.00017580674,0.00008701767,0.00026800088,1.12551604e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014359495,0.0019662175,0.0056491876,0.0007178898,0.00008010355,0.0000015953901,0.0021547722,0.0045943246,0.0010661163,0.95275253,0.000020716505,0.030852973],"study_design_scores_gemma":[0.0035647617,0.00070193456,0.0028547673,0.0005769273,0.00003668382,0.0000029680268,0.0003004933,0.6114723,0.00022080043,0.38015813,0.000016836937,0.0000934154],"about_ca_topic_score_codex":0.0000026147638,"about_ca_topic_score_gemma":1.8538526e-7,"teacher_disagreement_score":0.6341227,"about_ca_system_score_codex":0.000065944325,"about_ca_system_score_gemma":0.00008954653,"threshold_uncertainty_score":0.5348017},"labels":[],"label_agreement":null},{"id":"W4409576393","doi":"10.61091/jcmcc127a-137","title":"A Study on the Geometric Characteristics of Line Mobility and Structural Changes in the Aesthetic System of Chinese Calligraphy","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Calligraphy; Line (geometry); Aesthetics; Art; Mathematics; Geometry; Visual arts","score_opus":0.02435085821156506,"score_gpt":0.3132819558207884,"score_spread":0.2889310976092233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942673,0.00016330645,0.00013269686,0.00018578563,0.0043489486,0.00060745823,0.0000033361619,0.000006944151,0.00028421145],"genre_scores_gemma":[0.99973524,0.000008376424,0.00003491616,0.000021907828,0.00018279224,0.000005606933,2.9234468e-7,0.000008818824,0.0000020322868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977066,0.0005018124,0.0010458685,0.00015240972,0.00042692327,0.00016637592],"domain_scores_gemma":[0.9967057,0.0016861362,0.0009500868,0.00031165587,0.00030403538,0.000042352192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031349561,0.00019728609,0.0007450917,0.0004268238,0.00012376333,0.000054644977,0.00037484555,0.00010026732,0.0000052797445],"category_scores_gemma":[0.00036653056,0.00011064979,0.00010801241,0.00090803514,0.00012912306,0.000026727907,0.000096473406,0.00041609444,2.530499e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087504496,0.0037344818,0.055254225,0.00061517436,0.00025744698,0.000038322112,0.03187789,0.000008720306,0.00019434522,0.9029088,0.000072999006,0.0041625537],"study_design_scores_gemma":[0.014256229,0.010174251,0.70422006,0.0012023107,0.00041163302,0.00022502344,0.043891225,0.0020150102,0.000085824395,0.22301799,0.000050696635,0.0004497499],"about_ca_topic_score_codex":0.00002706743,"about_ca_topic_score_gemma":0.0000021682342,"teacher_disagreement_score":0.6798908,"about_ca_system_score_codex":0.00003280389,"about_ca_system_score_gemma":0.00004019857,"threshold_uncertainty_score":0.45121673},"labels":[],"label_agreement":null},{"id":"W4409576396","doi":"10.61091/jcmcc127a-113","title":"Constructing the Optimal Restriction Mechanism of Constitutional Fundamental Rights on Executive Power Based on Numerical Optimization Methods","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Executive power; Power (physics); Computer science; Law and economics; Mathematical optimization; Political science; Mathematics; Economics; Law; Politics; Physics; Epistemology; Philosophy","score_opus":0.013838218630511068,"score_gpt":0.3086462682984125,"score_spread":0.2948080496679015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576396","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050411135,0.000041085692,0.91004616,0.00062435283,0.017408935,0.00047895522,0.000005432797,0.00002679667,0.020957172],"genre_scores_gemma":[0.9819119,0.000014023843,0.017643025,0.0000608755,0.0003548378,0.0000015568252,0.0000014909839,0.000006055659,0.000006252014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99764407,0.00041141058,0.0007439081,0.00015663423,0.0008330897,0.00021089424],"domain_scores_gemma":[0.99682534,0.0016000016,0.00095627847,0.00012063887,0.0004228192,0.00007491986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019569295,0.00016325187,0.00039672217,0.00014949155,0.00072158565,0.00012842333,0.0002313142,0.00014540736,0.000013037444],"category_scores_gemma":[0.0008760566,0.00012403417,0.00013265053,0.00046758715,0.0003949313,0.00013913242,0.000054349493,0.000308382,3.875587e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021392008,0.00036583864,0.00008490379,0.000015107703,0.000045247456,0.0000025790134,0.00065384473,0.0063023544,0.00002298214,0.99189985,0.00012684922,0.0002665116],"study_design_scores_gemma":[0.005182892,0.0015719716,0.000045529578,0.0009066266,0.00017475772,0.000007765643,0.0047581596,0.13748915,0.0025933105,0.84533894,0.0016276522,0.00030323514],"about_ca_topic_score_codex":0.000027644332,"about_ca_topic_score_gemma":2.9112206e-7,"teacher_disagreement_score":0.93150073,"about_ca_system_score_codex":0.0003175085,"about_ca_system_score_gemma":0.00035285502,"threshold_uncertainty_score":0.5549926},"labels":[],"label_agreement":null},{"id":"W4409576397","doi":"10.61091/jcmcc127a-148","title":"Digital Economy Industry and Logistics Industry Convergence Calculation Based on ABC-ACO Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Algorithm; Business; Computer science; Manufacturing engineering; Industrial engineering; Industrial organization; Engineering; Economics; Economic growth","score_opus":0.015155741028803677,"score_gpt":0.24981800632645626,"score_spread":0.23466226529765258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89615756,0.0001113862,0.047661595,0.0043824404,0.017235518,0.000582064,0.0000073338447,0.00017090613,0.033691224],"genre_scores_gemma":[0.99729574,0.0000024670398,0.00097453763,0.00049249706,0.0011854692,0.0000020451282,0.0000051369834,0.00001888334,0.000023224431],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984604,0.000013241546,0.00083628786,0.00020259879,0.00024755215,0.0002399203],"domain_scores_gemma":[0.9980179,0.00035112124,0.00084264006,0.00019934309,0.0005566324,0.00003238042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065273547,0.00025085994,0.0004791242,0.00051466643,0.00034708632,0.00055261404,0.00027958216,0.0005963791,0.000008447177],"category_scores_gemma":[0.0005667203,0.00024012261,0.00007669194,0.0006128714,0.00020974169,0.0005334258,0.00022582727,0.0012751431,0.0000032361309],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027557491,0.00033215003,0.010052641,0.00016631852,0.000065859,0.00001403737,0.000020888101,0.00011160716,0.00001140218,0.97972167,0.00085740443,0.008618492],"study_design_scores_gemma":[0.004277526,0.00018501088,0.0014166943,0.00065868016,0.00016987347,0.000016156615,0.00042573374,0.11916321,0.00008762249,0.86465704,0.0085341325,0.00040834225],"about_ca_topic_score_codex":0.000010390105,"about_ca_topic_score_gemma":1.7583007e-7,"teacher_disagreement_score":0.1190516,"about_ca_system_score_codex":0.000057668796,"about_ca_system_score_gemma":0.00011057798,"threshold_uncertainty_score":0.9791916},"labels":[],"label_agreement":null},{"id":"W4409576398","doi":"10.61091/jcmcc127a-141","title":"A Study on Modeling and Computing of Lexical Semantic Relationships in Japanese Language Based on Multidimensional Vector Space","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Space (punctuation); Semantic space; Vector space; Natural language processing; Artificial intelligence; Linguistics; Mathematics; Pure mathematics","score_opus":0.025209471893504184,"score_gpt":0.3118539033676451,"score_spread":0.2866444314741409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972786,0.000071509836,0.023019597,0.00066071114,0.0029658224,0.000270141,3.902076e-7,0.000023935883,0.00020187363],"genre_scores_gemma":[0.9890853,0.0000015864418,0.010766099,0.000025152549,0.000108988745,0.000001466608,3.4680542e-7,0.000008739276,0.0000023066625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979647,0.0002481522,0.0008470221,0.00025397688,0.0004896153,0.00019656966],"domain_scores_gemma":[0.9968667,0.002084867,0.0004857849,0.00026291676,0.00022775383,0.00007198479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021198818,0.00020028997,0.0005382819,0.00049900706,0.00020811845,0.00007019206,0.00034970924,0.00012767626,4.3582057e-7],"category_scores_gemma":[0.00072454807,0.00017843569,0.000070190574,0.0004978048,0.000053934567,0.00010810062,0.00022085538,0.0007005852,3.7001854e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000713343,0.0024931754,0.0032377571,0.00009967783,0.000049110375,0.000029584831,0.004367643,0.0071421624,0.00019786182,0.9820518,0.000011052703,0.00024887643],"study_design_scores_gemma":[0.0051006917,0.0012427713,0.0048165657,0.0013216137,0.000041382795,0.000018354578,0.00413628,0.8085571,0.00032138915,0.17422575,0.0000022290358,0.00021589085],"about_ca_topic_score_codex":0.000011603838,"about_ca_topic_score_gemma":7.3751323e-7,"teacher_disagreement_score":0.80782604,"about_ca_system_score_codex":0.00007676227,"about_ca_system_score_gemma":0.00018668026,"threshold_uncertainty_score":0.7276396},"labels":[],"label_agreement":null},{"id":"W4409576402","doi":"10.61091/jcmcc127a-117","title":"Application of Fuzzy Logic-Based Multi-Feature Audio Classification and Speech Matching in English Speaking Teaching and Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Matching (statistics); Speech recognition; Fuzzy logic; Feature (linguistics); Artificial intelligence; Natural language processing; Linguistics; Mathematics","score_opus":0.01805511854491486,"score_gpt":0.29970598895737555,"score_spread":0.2816508704124607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7784333,0.00052473595,0.21676102,0.000740711,0.0027546776,0.00021813536,3.1297586e-7,0.00004849246,0.0005185883],"genre_scores_gemma":[0.89786315,0.000023590796,0.10189197,0.000028592338,0.00017700723,0.0000019676272,7.891813e-7,0.000008031752,0.0000048856236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99838054,0.0002318437,0.000707297,0.00025099798,0.00024289124,0.00018645055],"domain_scores_gemma":[0.9973802,0.0012312534,0.0008670218,0.00019095039,0.00027179203,0.000058769907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024423755,0.00018061385,0.00047409837,0.0004124436,0.00030342833,0.00014014223,0.0003780636,0.00021994527,2.0360962e-7],"category_scores_gemma":[0.0009506217,0.00017397123,0.000050089697,0.00033353816,0.000088298,0.00025727903,0.00022546331,0.001147155,9.120974e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002159705,0.00025972788,0.005948192,0.00022329464,0.000025825435,0.0000030214794,0.003420957,0.00010918998,0.0017870716,0.971273,0.0000059669087,0.016922139],"study_design_scores_gemma":[0.003841025,0.00031070889,0.012940713,0.0008747677,0.00005298537,0.000046816138,0.0021873969,0.12761548,0.0006917205,0.8507347,0.0004106036,0.0002930496],"about_ca_topic_score_codex":0.000016495593,"about_ca_topic_score_gemma":9.958137e-7,"teacher_disagreement_score":0.1275063,"about_ca_system_score_codex":0.00004911573,"about_ca_system_score_gemma":0.000121624435,"threshold_uncertainty_score":0.7094341},"labels":[],"label_agreement":null},{"id":"W4409576455","doi":"10.61091/jcmcc127a-102","title":"Research on the Evaluation of the Efficacy of Comprehensive Agricultural Energy Electricity Substitution in the Environment of Energy Saving and Emission Reduction Based on Fuzzy Clustering Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Substitution (logic); Reduction (mathematics); Electricity; Cluster analysis; Fuzzy logic; Energy (signal processing); Agriculture; Algorithm; Environmental economics; Computer science; Environmental science; Engineering; Mathematics; Artificial intelligence; Economics; Electrical engineering; Statistics; Geography","score_opus":0.03025229144641468,"score_gpt":0.2890373451191855,"score_spread":0.2587850536727708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99330646,0.00041449314,0.0012912871,0.00016235858,0.0034089775,0.00022619602,8.0663335e-7,0.0000035187866,0.0011858892],"genre_scores_gemma":[0.99954873,0.000050886225,0.00010068645,0.000009043773,0.00027084284,0.00000444984,0.0000010870876,0.000008922574,0.0000053353074],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959621,0.0013179735,0.000992504,0.00017017144,0.0013564542,0.00020083012],"domain_scores_gemma":[0.99628437,0.0018871721,0.0010209653,0.00028981722,0.000481312,0.000036363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039405795,0.0001826639,0.00048125425,0.00025939508,0.00029276556,0.000043009244,0.0003642651,0.000143599,0.0000013489648],"category_scores_gemma":[0.00032827086,0.00009446117,0.00013634282,0.00064214016,0.0001641948,0.00005415061,0.00013289061,0.00035972078,2.8040832e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023871392,0.0010469573,0.000035944213,0.00015273968,0.0001112423,0.000001298795,0.0008338105,0.066119395,0.022542264,0.8983704,0.00007472554,0.010472497],"study_design_scores_gemma":[0.017426299,0.0030443463,0.009851757,0.0079649575,0.00049466634,0.00005759077,0.0067491503,0.4015115,0.16879363,0.38246927,0.0010826571,0.0005541901],"about_ca_topic_score_codex":0.00038125573,"about_ca_topic_score_gemma":0.0000053979543,"teacher_disagreement_score":0.51590115,"about_ca_system_score_codex":0.00018559705,"about_ca_system_score_gemma":0.00015307829,"threshold_uncertainty_score":0.38520145},"labels":[],"label_agreement":null},{"id":"W4409576457","doi":"10.61091/jcmcc127a-115","title":"Algorithm-based analysis of party members’ ideological dynamics in university management and its management decision support","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Central Asia Education and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ideology; Dynamics (music); Computer science; Operations research; Political science; Management science; Sociology; Engineering; Politics; Pedagogy; Law","score_opus":0.0113942597868066,"score_gpt":0.28081124980576755,"score_spread":0.26941699001896097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730593,0.0001837506,0.009732635,0.00059904414,0.0055359453,0.00047224553,0.000005015656,0.000020188412,0.010391905],"genre_scores_gemma":[0.99267554,0.00014913616,0.0070001483,0.000023525325,0.000062953026,3.8159422e-7,0.0000025239938,0.0000039309925,0.00008182974],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99841183,0.00014278141,0.00060104753,0.0001648853,0.0004712456,0.00020823054],"domain_scores_gemma":[0.9987457,0.0003364269,0.00043941167,0.00009968436,0.00026146794,0.000117335476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014781286,0.00013139471,0.0005200077,0.00048299512,0.00021947574,0.00006573818,0.00026878435,0.000121644654,0.00002527939],"category_scores_gemma":[0.00009855147,0.00012135451,0.0001422489,0.0012771501,0.00009275172,0.000096217445,0.00013714035,0.00019165802,2.3920794e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006749226,0.0005332034,0.0033508593,0.00009832661,0.00033821425,0.000027919128,0.0013170094,0.00008891457,0.0000011703365,0.9866173,0.000112147936,0.0074474043],"study_design_scores_gemma":[0.016694061,0.00062577287,0.033341456,0.0013176518,0.004345969,0.000006047,0.065174215,0.13098678,0.00007077407,0.7343213,0.012291034,0.00082495995],"about_ca_topic_score_codex":0.000028052315,"about_ca_topic_score_gemma":0.00003397545,"teacher_disagreement_score":0.25229606,"about_ca_system_score_codex":0.000276025,"about_ca_system_score_gemma":0.00009262286,"threshold_uncertainty_score":0.49486932},"labels":[],"label_agreement":null},{"id":"W4409576458","doi":"10.61091/jcmcc127a-126","title":"Knowledge graph construction for intelligent physical education and its application in training","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Computer science; Knowledge graph; Graph; Knowledge management; Artificial intelligence; Theoretical computer science; Geography","score_opus":0.01623424329476938,"score_gpt":0.31100498819974537,"score_spread":0.294770744904976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7266654,0.0007343948,0.2628523,0.0006882674,0.008223254,0.00036622392,5.2325885e-7,0.00003425721,0.0004353843],"genre_scores_gemma":[0.9853628,0.0000331248,0.013987377,0.000014210018,0.0005829568,0.00000440932,6.4109304e-7,0.000007942569,0.0000064913706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99880767,0.00006133507,0.000597867,0.0001936045,0.00016655127,0.00017299216],"domain_scores_gemma":[0.99834883,0.00056759856,0.00046707212,0.00012358217,0.00041602156,0.000076906035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009282703,0.00014932349,0.00041975017,0.00034187248,0.00015172087,0.00015549877,0.0002813168,0.00008456716,8.617352e-8],"category_scores_gemma":[0.0003449548,0.00014287923,0.000084271385,0.00047366595,0.00003756074,0.00019470682,0.00012342932,0.0002860148,2.6235926e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011326739,0.00043066955,0.000104882645,0.00016068947,0.000023212137,3.6850614e-7,0.0024258036,0.000044852033,0.00018989456,0.93743795,0.000015695892,0.059154667],"study_design_scores_gemma":[0.0011870824,0.00020345612,0.000059655624,0.00034875865,0.000033437038,0.000020009224,0.0007045449,0.19669339,0.00030973807,0.7998855,0.00043799006,0.00011644521],"about_ca_topic_score_codex":0.000002108045,"about_ca_topic_score_gemma":3.4176747e-7,"teacher_disagreement_score":0.25869748,"about_ca_system_score_codex":0.00005892832,"about_ca_system_score_gemma":0.0002942816,"threshold_uncertainty_score":0.5826446},"labels":[],"label_agreement":null},{"id":"W4409576461","doi":"10.61091/jcmcc127a-132","title":"Analysis of Social Network Structure and Communication Efficacy Based on Algorithmic Optimization in Marxist Mass Communication Strategy","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Marxist philosophy; Computer science; Sociology; Data science; Distributed computing; Political science","score_opus":0.0090168499429818,"score_gpt":0.2652894935564728,"score_spread":0.256272643613491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877808,0.000081996324,0.0076980405,0.0004351915,0.00082929403,0.00027166615,0.0000048271504,0.000008645331,0.002889531],"genre_scores_gemma":[0.9893394,0.000025009975,0.010505967,0.00003300926,0.00006564539,0.0000014129585,0.00001744156,0.000008171749,0.0000039229676],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842036,0.00013604875,0.00084708235,0.00012577901,0.0003313626,0.00013939495],"domain_scores_gemma":[0.9981813,0.0005783647,0.0008320326,0.00021341137,0.0001552201,0.00003968453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010609552,0.0001409297,0.00044475117,0.0002779453,0.0002710353,0.00008319891,0.000278788,0.00011891634,0.000025945285],"category_scores_gemma":[0.00017626904,0.00012791554,0.00007545667,0.0013555506,0.00013472624,0.00015092015,0.00011513697,0.00031649575,1.4833928e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010645397,0.000675456,0.012479574,0.00006520441,0.00021014285,6.621402e-7,0.00081493746,0.3507042,0.0002256666,0.6319427,0.00017343112,0.0026015881],"study_design_scores_gemma":[0.003524938,0.00026167821,0.05960958,0.00030138195,0.00038312655,0.0000019486422,0.00042702633,0.66945344,0.00009078533,0.2655968,0.00011624801,0.00023302525],"about_ca_topic_score_codex":0.000031895197,"about_ca_topic_score_gemma":0.0000034208454,"teacher_disagreement_score":0.36634588,"about_ca_system_score_codex":0.0001534118,"about_ca_system_score_gemma":0.00006382128,"threshold_uncertainty_score":0.52162445},"labels":[],"label_agreement":null},{"id":"W4409576483","doi":"10.61091/jcmcc127a-111","title":"Research on dynamic texture generation method of digital media art based on fractal geometry","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fractal; Texture (cosmology); Geometry; Computer graphics (images); Computer science; Mathematics; Artificial intelligence; Mathematical analysis; Image (mathematics)","score_opus":0.03155144600110909,"score_gpt":0.3545111099420684,"score_spread":0.3229596639409593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576483","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47299668,0.0001521285,0.48406667,0.0009901297,0.031141018,0.0005312316,0.000010902843,0.000074784366,0.010036442],"genre_scores_gemma":[0.9890904,0.000006290376,0.01027333,0.000047910962,0.00053813367,0.00000172419,0.0000038503176,0.000018006442,0.000020366937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965434,0.00020535564,0.0010556744,0.00032779868,0.0014974144,0.00037035724],"domain_scores_gemma":[0.99426234,0.003548494,0.0006574007,0.00042996966,0.0009114903,0.00019032585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029046189,0.0002720161,0.0007016976,0.00077854004,0.00022106971,0.0006719908,0.0008939148,0.00020106461,0.0000029597304],"category_scores_gemma":[0.001133801,0.00022695528,0.00020045564,0.0011847302,0.0001000106,0.0004558987,0.0003227752,0.00081787544,0.0000069165353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010525024,0.0013895012,0.000042574502,0.00014495215,0.000074326716,0.000026893933,0.00030953737,0.0003128638,0.0004727852,0.9742155,0.00094204623,0.02196378],"study_design_scores_gemma":[0.0042575863,0.00312208,0.0001563501,0.0014140796,0.000043536973,0.000026491085,0.0002200353,0.38621473,0.0031957305,0.600054,0.0009541317,0.00034123572],"about_ca_topic_score_codex":9.641027e-7,"about_ca_topic_score_gemma":8.539966e-8,"teacher_disagreement_score":0.51609373,"about_ca_system_score_codex":0.00012489625,"about_ca_system_score_gemma":0.0003123584,"threshold_uncertainty_score":0.92549676},"labels":[],"label_agreement":null},{"id":"W4409576485","doi":"10.61091/jcmcc127a-128","title":"Applied Research on Rocky Slope Damage Mechanism and Prevention Based on Big Data and Discrete Element Simulation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Discrete element method; Mechanism (biology); Element (criminal law); Geology; Forensic engineering; Engineering; Geotechnical engineering; Physics; Mechanics; Political science","score_opus":0.03710296821277944,"score_gpt":0.32092779216579165,"score_spread":0.28382482395301223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685532,0.00005746321,0.020235414,0.00035548297,0.0048243473,0.0006377762,0.0000047546214,0.00002111786,0.005310474],"genre_scores_gemma":[0.9983723,0.000036758505,0.0011995008,0.000034717315,0.00031530327,0.000001581932,0.0000041829735,0.000015762344,0.000019853696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979116,0.0001542706,0.00059867697,0.00031550333,0.0007659106,0.00025405613],"domain_scores_gemma":[0.9983321,0.0007839157,0.00036116698,0.0003287856,0.00006776241,0.00012630728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030805513,0.00019115694,0.00036776805,0.00017525553,0.00046050124,0.00022157228,0.00031736,0.00014594036,0.000011500335],"category_scores_gemma":[0.00021835142,0.00014682519,0.000038745853,0.0002864449,0.00009483617,0.00010949436,0.0006643551,0.00052264193,0.000001941632],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010747619,0.0011865598,0.0006279068,0.0003609479,0.00017861938,0.000026519296,0.0009727681,0.011026681,0.0013129021,0.93406314,0.0006673947,0.048501823],"study_design_scores_gemma":[0.0049436837,0.0012360809,0.00056275574,0.0005712257,0.00008984955,0.0000036118277,0.00027124406,0.30931517,0.00041167563,0.68130994,0.0010811689,0.00020358387],"about_ca_topic_score_codex":0.000007056399,"about_ca_topic_score_gemma":8.595311e-7,"teacher_disagreement_score":0.2982885,"about_ca_system_score_codex":0.000102158505,"about_ca_system_score_gemma":0.00004678644,"threshold_uncertainty_score":0.5987357},"labels":[],"label_agreement":null},{"id":"W4409576486","doi":"10.61091/jcmcc127a-106","title":"Research on the Implementation Path of Multi-Objective Optimization Algorithm for English Translation Information Technology Convergence in Big Data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Translation (biology); Big data; Path (computing); Computer science; Algorithm; Data science; Mathematical optimization; Data mining; Mathematics; Programming language; Economics","score_opus":0.0752806095250901,"score_gpt":0.3833919781839932,"score_spread":0.3081113686589031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576486","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04043702,0.00013952865,0.94946975,0.00103156,0.008168317,0.0006318035,0.000008913392,0.000022298529,0.0000908218],"genre_scores_gemma":[0.89639753,0.00005398072,0.10329003,0.00002246228,0.0002080844,0.000012761069,0.000008954179,0.000005304796,8.969232e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99824405,0.0001633242,0.00086975796,0.00016642333,0.00036422565,0.00019223808],"domain_scores_gemma":[0.9957555,0.0017860379,0.0006471299,0.00037251046,0.0014132106,0.000025606716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003865165,0.00011721617,0.00028843933,0.0007935939,0.00022694118,0.00008849548,0.0010192788,0.00017056403,9.266191e-7],"category_scores_gemma":[0.00083501806,0.0000972304,0.000040285962,0.0011952124,0.0001073114,0.00047606917,0.00025465534,0.00043489333,2.0756995e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024385605,0.00025407152,0.00013382905,0.000060987815,0.000036449735,3.0800246e-7,0.0021207249,0.00034539634,0.000034261004,0.9378297,0.00008588819,0.059074014],"study_design_scores_gemma":[0.0036834097,0.00061037805,0.00020093094,0.000299943,0.000023650036,0.000004601142,0.0058539975,0.4132907,0.0016516877,0.5737771,0.00047400146,0.00012961928],"about_ca_topic_score_codex":0.000011847632,"about_ca_topic_score_gemma":0.000001445895,"teacher_disagreement_score":0.8559605,"about_ca_system_score_codex":0.00007669119,"about_ca_system_score_gemma":0.00040548758,"threshold_uncertainty_score":0.39649406},"labels":[],"label_agreement":null},{"id":"W4409576488","doi":"10.61091/jcmcc127a-144","title":"Deep Learning Algorithm Based Pattern Recognition of Musical Melodies and Its Effectiveness Optimization in Education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Melody; Musical; Computer science; Artificial intelligence; Speech recognition; Machine learning; Pattern recognition (psychology); Art; Visual arts","score_opus":0.014054437876039313,"score_gpt":0.2834550334230621,"score_spread":0.2694005955470228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576488","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48607922,0.0006319529,0.5070507,0.00021760125,0.005699768,0.00019054518,3.7019691e-7,0.000021251652,0.00010859401],"genre_scores_gemma":[0.9674213,0.000061828265,0.032340966,0.00001964304,0.00014275311,0.000003946255,0.0000018972887,0.000006653235,0.0000010079918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861026,0.00023157801,0.0006247523,0.00017440502,0.00022055254,0.00013845398],"domain_scores_gemma":[0.9975621,0.0011496885,0.00056083774,0.00010594197,0.000574303,0.000047099245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013568257,0.00014067792,0.00041174478,0.00043642052,0.00012569582,0.00007210579,0.0002581382,0.00015508487,0.0000015030784],"category_scores_gemma":[0.00063006906,0.00013982765,0.000051588428,0.00042894096,0.000048681726,0.00023795968,0.00013603174,0.00036387393,2.3229782e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007264053,0.0017523101,0.0039356393,0.001018236,0.000097869284,0.000006936477,0.0019375791,0.0029248148,0.00034814698,0.6578002,0.000013098649,0.33009255],"study_design_scores_gemma":[0.0023969044,0.0004135785,0.0034369812,0.0011046932,0.000042076346,0.000025536074,0.0003113177,0.5871128,0.0014173432,0.40354002,0.000025064113,0.00017370748],"about_ca_topic_score_codex":0.000007347392,"about_ca_topic_score_gemma":3.4135218e-7,"teacher_disagreement_score":0.584188,"about_ca_system_score_codex":0.000060542683,"about_ca_system_score_gemma":0.00026901363,"threshold_uncertainty_score":0.5702006},"labels":[],"label_agreement":null},{"id":"W4409576490","doi":"10.61091/jcmcc127a-143","title":"Research on the enhancement method of vibration damping effect of vehicle fully active suspension system based on genetic algorithm and fuzzy control","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vibration; Control theory (sociology); Fuzzy control system; Fuzzy logic; Genetic algorithm; Suspension (topology); Active suspension; Computer science; Vibration control; Control (management); Mathematics; Physics; Artificial intelligence; Acoustics; Machine learning","score_opus":0.01695462403126754,"score_gpt":0.31277824509936375,"score_spread":0.29582362106809623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6345153,0.00007391521,0.3624415,0.00008192653,0.0018216287,0.0005349699,0.0000023745647,0.000018387324,0.0005099913],"genre_scores_gemma":[0.9947631,0.000007558136,0.005051709,0.00000844877,0.00014710205,0.000006457509,6.313078e-7,0.000014362454,6.521959e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823564,0.00032712513,0.0006842568,0.00011832709,0.00048969075,0.00014496187],"domain_scores_gemma":[0.9949911,0.0039653173,0.00033518564,0.00019192728,0.0004665472,0.000049883103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026342159,0.00014406483,0.00046108203,0.0002487879,0.00017815249,0.000048319263,0.00014891577,0.00009235692,9.771605e-7],"category_scores_gemma":[0.00022344389,0.00010726099,0.00007356182,0.00029431283,0.000045731165,0.00003589418,0.00003897582,0.0003216426,2.6505265e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006375341,0.00042374473,0.000035560333,0.0014686731,0.00030139598,0.0000029080286,0.00088074734,0.19500576,0.027937697,0.74700224,0.000086890825,0.026216831],"study_design_scores_gemma":[0.0033998317,0.0008986197,0.00009015078,0.0010146068,0.000075975666,0.0000020885652,0.00024720686,0.92533207,0.04687459,0.021972662,0.0000130391645,0.00007914398],"about_ca_topic_score_codex":0.0000051331194,"about_ca_topic_score_gemma":5.652607e-8,"teacher_disagreement_score":0.7303263,"about_ca_system_score_codex":0.00009452375,"about_ca_system_score_gemma":0.000055191496,"threshold_uncertainty_score":0.43739763},"labels":[],"label_agreement":null},{"id":"W4409576496","doi":"10.61091/jcmcc127a-149","title":"Application of Delphi-Entropy Weight-TOPSIS Model in the Assessment of Safe Urban Development","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"TOPSIS; Delphi; Delphi method; Entropy (arrow of time); Environmental science; Computer science; Statistics; Mathematics; Operations research; Thermodynamics; Physics","score_opus":0.01916237545677897,"score_gpt":0.3213299731168185,"score_spread":0.30216759766003953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94652826,0.00024565757,0.031026829,0.001389202,0.0040981965,0.0006682363,0.000001278527,0.000011177905,0.01603119],"genre_scores_gemma":[0.989556,0.000076263,0.010019543,0.00002958475,0.00029034642,0.0000039673946,9.2818806e-7,0.000006948649,0.000016380469],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99742216,0.00019552164,0.0012214949,0.00011612694,0.0008290716,0.00021561852],"domain_scores_gemma":[0.99745125,0.00078955333,0.0010682812,0.00014483312,0.00048602826,0.00006008568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003334063,0.00014654944,0.00052206253,0.00026821255,0.0002532154,0.000055615103,0.0005454747,0.00011815391,0.0000019131812],"category_scores_gemma":[0.00025058494,0.00011373411,0.000108300446,0.0005648549,0.00014307135,0.00011305025,0.000101596925,0.0002539016,2.1460065e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024929359,0.00040264463,0.0040460327,0.00011827061,0.000055923887,9.14311e-7,0.0107800905,0.00009271121,0.00011148324,0.98252356,0.00029190295,0.0015515299],"study_design_scores_gemma":[0.0030221054,0.00014431129,0.0045565227,0.0005550901,0.0000847652,0.000002323574,0.0027775199,0.015816549,0.0003873391,0.96409607,0.008336445,0.00022095373],"about_ca_topic_score_codex":0.0000583409,"about_ca_topic_score_gemma":0.0000052570517,"teacher_disagreement_score":0.043027807,"about_ca_system_score_codex":0.00014626041,"about_ca_system_score_gemma":0.00096163864,"threshold_uncertainty_score":0.46379423},"labels":[],"label_agreement":null},{"id":"W4409576503","doi":"10.61091/jcmcc127a-101","title":"Research on Quantitative Evaluation System of Educational Effect of Three Lines and Four Passes of Teaching Workshop for Geology Majors Based on Cluster Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster (spacecraft); Mathematics education; Psychology; Computer science","score_opus":0.04712242126998671,"score_gpt":0.40752299843405015,"score_spread":0.36040057716406343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89447796,0.00014453132,0.100038625,0.0012970136,0.0032362198,0.00050692045,0.0000019549898,0.0000067549245,0.00029001036],"genre_scores_gemma":[0.9800877,0.00000238609,0.019757466,0.000006958232,0.00012225361,0.00001286388,0.0000015255605,0.000006140577,0.0000027027836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99733615,0.0005926858,0.00096928206,0.00021695164,0.00071812165,0.00016683327],"domain_scores_gemma":[0.9803844,0.016618317,0.0011765156,0.00026802716,0.0015093053,0.00004344154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008481449,0.00015743927,0.0007595897,0.0010930363,0.00019822005,0.00004327167,0.00045975784,0.00014943216,0.0000010820446],"category_scores_gemma":[0.002588763,0.00012729867,0.00016605007,0.0007753432,0.00014317285,0.000097248085,0.00014783947,0.0003713594,7.417963e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022844774,0.0004956514,0.002983017,0.0006541418,0.00037302083,3.115607e-7,0.0002162648,0.0018787368,0.00012673336,0.99204,0.00006356432,0.00094011764],"study_design_scores_gemma":[0.003682597,0.0030622208,0.0026493017,0.0014961741,0.00044396555,0.0000039924184,0.0005151079,0.40606752,0.0023371067,0.5796132,0.000007632479,0.00012115357],"about_ca_topic_score_codex":0.000008895278,"about_ca_topic_score_gemma":0.0000010051878,"teacher_disagreement_score":0.41242677,"about_ca_system_score_codex":0.00009231321,"about_ca_system_score_gemma":0.0003976659,"threshold_uncertainty_score":0.51910895},"labels":[],"label_agreement":null},{"id":"W4409576512","doi":"10.61091/jcmcc127a-124","title":"Criticism of Narrative Ethics in Chinese New Century Literature: a Cluster Analysis of AI Perspectives","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Criticism; Narrative; Cluster (spacecraft); Sociology; Literature; Art; Computer science","score_opus":0.01693656135965707,"score_gpt":0.37647751883153063,"score_spread":0.35954095747187353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701504,0.0027038532,0.018085334,0.0024859887,0.0049284846,0.00023337336,0.0000035869061,0.0000110737265,0.0013978817],"genre_scores_gemma":[0.99371547,0.00017186248,0.005609302,0.00005194527,0.00041913794,5.266209e-7,0.0000011994476,0.000007766647,0.000022819364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99666345,0.00076197175,0.0013413412,0.00018756789,0.00083104335,0.00021460287],"domain_scores_gemma":[0.993015,0.0039125974,0.001008275,0.00014657414,0.0017994931,0.000118053045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044568093,0.00019515927,0.0012036404,0.0011651245,0.00023062708,0.00011930344,0.00036133433,0.00023411293,0.000013863069],"category_scores_gemma":[0.0041679824,0.00016765346,0.0004448607,0.0035625447,0.00023401038,0.00021002414,0.0001356588,0.0007771143,7.500732e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010671508,0.00050684146,0.0019879672,0.00013748846,0.00077396916,0.000004363558,0.16297449,0.00034778976,0.00007763686,0.8324003,0.000045662942,0.0006367497],"study_design_scores_gemma":[0.002555335,0.00018262789,0.0024994214,0.00081153185,0.00070588355,0.0000017316485,0.019600444,0.0061345915,0.00006274734,0.9670661,0.00020518352,0.0001744161],"about_ca_topic_score_codex":0.0002152857,"about_ca_topic_score_gemma":0.000047912206,"teacher_disagreement_score":0.14337406,"about_ca_system_score_codex":0.00011053995,"about_ca_system_score_gemma":0.0007626192,"threshold_uncertainty_score":0.683671},"labels":[],"label_agreement":null},{"id":"W4409576518","doi":"10.61091/jcmcc127a-147","title":"Construction of special physical training measurement index system based on artificial intelligence and neural network","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Index (typography); Training (meteorology); Artificial intelligence; Computer science; Artificial Intelligence System; Machine learning; Geography; World Wide Web","score_opus":0.035019855536975904,"score_gpt":0.2502649230249157,"score_spread":0.2152450674879398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9540961,0.000042894066,0.022292582,0.000858329,0.018471137,0.00032544494,7.7956753e-7,0.000063209955,0.003849545],"genre_scores_gemma":[0.9934748,0.0000010944858,0.00087350636,0.00006159733,0.0055733263,0.0000015472372,6.449835e-7,0.000013180697,3.2815063e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99815196,0.000028965967,0.0009271631,0.00016461378,0.0005053146,0.00022197263],"domain_scores_gemma":[0.99779147,0.00028017652,0.0010446155,0.00014850419,0.0007160553,0.000019207417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013221526,0.00020602078,0.000607104,0.00040722676,0.0002967616,0.00017578038,0.00022086118,0.0001287166,0.0000021625274],"category_scores_gemma":[0.00038413593,0.0001893139,0.00010426481,0.0007050081,0.00020999523,0.00019596533,0.00013118217,0.00043123943,5.662108e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011388652,0.00024371508,0.00059931003,0.0003013627,0.000059260718,0.000004451695,0.00010678147,0.0006472549,0.00006268379,0.9846026,0.00008627156,0.013172454],"study_design_scores_gemma":[0.0011532394,0.00018947467,0.00024478423,0.0010443311,0.00016108145,0.000010945602,0.0018523821,0.19533752,0.00019310646,0.7994573,0.00017062886,0.00018520578],"about_ca_topic_score_codex":0.000010247584,"about_ca_topic_score_gemma":0.000001041273,"teacher_disagreement_score":0.19469027,"about_ca_system_score_codex":0.000061666826,"about_ca_system_score_gemma":0.00008101241,"threshold_uncertainty_score":0.7719997},"labels":[],"label_agreement":null},{"id":"W4409576520","doi":"10.61091/jcmcc127a-145","title":"A Study of Modeling Algorithm Improvement for Semantic Analysis of Public English Texts","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Natural language processing; Semantic analysis (machine learning); Artificial intelligence; Algorithm","score_opus":0.022928185876948944,"score_gpt":0.29434754081402126,"score_spread":0.2714193549370723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7180763,0.00019871864,0.2739227,0.000061116094,0.0072332746,0.00038670917,0.0000025664099,0.000012058857,0.00010656103],"genre_scores_gemma":[0.9893248,0.000008928401,0.010256623,0.000008486916,0.00038081157,0.00000588751,8.026333e-7,0.000009068399,0.0000045922493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99711055,0.000105426596,0.0017249093,0.00020625869,0.0006094231,0.000243408],"domain_scores_gemma":[0.9949672,0.000924724,0.0014953732,0.00035550864,0.0021600218,0.000097143085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002556103,0.00020441969,0.0011161456,0.0008308061,0.00016887242,0.00017619239,0.0007581855,0.000087608154,7.142687e-7],"category_scores_gemma":[0.00053635763,0.0001747667,0.0002991599,0.0013304005,0.0000340613,0.00022788161,0.0002980622,0.00016926507,3.9500755e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012493704,0.0024763052,0.00074517436,0.00029424857,0.0019664522,0.0000011740084,0.014885417,0.0011696193,0.00017519218,0.973281,0.000052650063,0.004940239],"study_design_scores_gemma":[0.0056988136,0.0023406402,0.00046967983,0.00042547783,0.0013253941,0.000004246873,0.006266379,0.63185126,0.00043362085,0.35077968,0.00009939186,0.0003054326],"about_ca_topic_score_codex":0.000060313883,"about_ca_topic_score_gemma":0.0000021674261,"teacher_disagreement_score":0.63068163,"about_ca_system_score_codex":0.00006389813,"about_ca_system_score_gemma":0.00028388062,"threshold_uncertainty_score":0.71267796},"labels":[],"label_agreement":null},{"id":"W4409576530","doi":"10.61091/jcmcc127a-123","title":"Applied Research on Generative Artificial Intelligence for Modern Control Systems","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Generative grammar; Computer science; Artificial intelligence; Control (management); Machine learning","score_opus":0.04871145855283705,"score_gpt":0.3430313100590382,"score_spread":0.29431985150620116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576530","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020035135,0.0005194752,0.9680735,0.00006970088,0.009289787,0.000687446,0.000008574869,0.0001284914,0.0011879227],"genre_scores_gemma":[0.98205197,0.00003538998,0.016774053,0.000012891096,0.0010596146,0.000023158253,0.000001655177,0.000038846425,0.0000024412539],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99784195,0.00007120593,0.0010307765,0.00019866365,0.0004981821,0.00035923318],"domain_scores_gemma":[0.99689966,0.0017194748,0.00029787596,0.00023757068,0.000750398,0.00009499333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024278513,0.00024249069,0.0006541777,0.00038656857,0.0003219334,0.00030792877,0.00042470745,0.00018025903,5.4469484e-7],"category_scores_gemma":[0.00048280426,0.00022368728,0.00008296917,0.00036395964,0.00009861743,0.00012687751,0.00008723813,0.00064156594,8.772636e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001511074,0.00016608128,8.662164e-7,0.00035507546,0.00009265279,0.0000028656375,0.0002907678,0.011924198,0.002166946,0.97627234,0.00045728998,0.008119831],"study_design_scores_gemma":[0.00069975347,0.00029771923,4.7075542e-7,0.00040584969,0.000026564438,0.000004701823,0.00022147257,0.26001966,0.0076343436,0.7301281,0.0004164519,0.00014492613],"about_ca_topic_score_codex":9.770527e-7,"about_ca_topic_score_gemma":8.747844e-8,"teacher_disagreement_score":0.9620168,"about_ca_system_score_codex":0.00018269631,"about_ca_system_score_gemma":0.00010525557,"threshold_uncertainty_score":0.91217023},"labels":[],"label_agreement":null},{"id":"W4409576532","doi":"10.61091/jcmcc127a-140","title":"Innovative use of visual communication style in product design based on fractal geometry","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fractal; Geometry; Style (visual arts); Product (mathematics); Computer science; Product design; Engineering drawing; Mathematics; Engineering; Visual arts; Mathematical analysis; Art","score_opus":0.02790446926925658,"score_gpt":0.3004046119347111,"score_spread":0.27250014266545447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8385849,0.00012542681,0.15407439,0.00031063327,0.0059350003,0.0004438379,0.0000010486059,0.000032458847,0.00049228256],"genre_scores_gemma":[0.97231275,0.000009533273,0.027505284,0.000048711026,0.00010460847,0.0000023095586,8.6903947e-7,0.000011959521,0.0000039831943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99746233,0.00023842823,0.0012059372,0.00022583934,0.0006172518,0.0002502298],"domain_scores_gemma":[0.9952029,0.0024395664,0.001010196,0.00038836262,0.0008754067,0.00008359149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019948604,0.0002311242,0.0006713094,0.00061002834,0.000111354035,0.00033279744,0.0007219062,0.000102322,0.0000010263612],"category_scores_gemma":[0.0013876659,0.00020677365,0.0000899114,0.0017018137,0.00009564394,0.00066782936,0.00034579943,0.0004884009,7.8674867e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021417587,0.0027552901,0.0010020495,0.00021939877,0.00007510202,0.000016813477,0.0008053405,0.0005551731,0.0005323631,0.98289114,0.00018315575,0.010750007],"study_design_scores_gemma":[0.010859844,0.0047446247,0.00319413,0.004919913,0.0000629989,0.000021994374,0.00036361534,0.39295298,0.018832847,0.56276983,0.0005817045,0.0006955165],"about_ca_topic_score_codex":0.000007690857,"about_ca_topic_score_gemma":9.906367e-8,"teacher_disagreement_score":0.4201213,"about_ca_system_score_codex":0.00009477452,"about_ca_system_score_gemma":0.00032289347,"threshold_uncertainty_score":0.8431985},"labels":[],"label_agreement":null},{"id":"W4409576533","doi":"10.61091/jcmcc127a-110","title":"Research on the Construction of Labor Education Curriculum Model Based on Multi-Objective Optimization Algorithm under Fuzzy Cognitive Orientation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fuzzy cognitive map; Orientation (vector space); Curriculum; Cognition; Fuzzy logic; Computer science; Optimization algorithm; Artificial intelligence; Algorithm; Psychology; Machine learning; Mathematical optimization; Mathematics; Fuzzy set; Fuzzy number; Pedagogy","score_opus":0.03027448932862582,"score_gpt":0.35787976400466426,"score_spread":0.32760527467603845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576533","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14566815,0.000070988244,0.84210145,0.0018207468,0.008846016,0.00042796152,0.0000030806125,0.000027423994,0.0010341471],"genre_scores_gemma":[0.9089009,0.000020720852,0.090700954,0.00012076105,0.0002250612,0.000010388399,0.0000025550785,0.000009524972,0.000009089208],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792045,0.000346005,0.00065850257,0.00024132784,0.00063647906,0.00019720405],"domain_scores_gemma":[0.99426067,0.0021673099,0.00073617965,0.0002544265,0.0025241834,0.000057245485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020632807,0.00017185419,0.0003220844,0.00061687443,0.00044712564,0.00012355129,0.00047878997,0.00018104783,0.0000018786697],"category_scores_gemma":[0.00086133083,0.00013572785,0.000082320126,0.0010940625,0.00020765718,0.00020202162,0.00011709265,0.0006458235,9.14914e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040046198,0.0012506694,0.000080509824,0.00004025803,0.00004463999,4.841199e-7,0.00052618154,0.011126276,0.000023494247,0.9823799,0.00008011747,0.0044073868],"study_design_scores_gemma":[0.0012476199,0.0004060844,0.0001426814,0.00045421856,0.000026626516,0.000005188719,0.0022727542,0.51701635,0.0009305175,0.47740495,0.0000070055517,0.00008602214],"about_ca_topic_score_codex":0.000008637864,"about_ca_topic_score_gemma":1.813817e-7,"teacher_disagreement_score":0.76323277,"about_ca_system_score_codex":0.00015265177,"about_ca_system_score_gemma":0.0011430021,"threshold_uncertainty_score":0.5534821},"labels":[],"label_agreement":null},{"id":"W4409576534","doi":"10.61091/jcmcc127a-116","title":"An Optimization Study of Attention Mechanism-Based Natural Language Generation Models in Multi-Round Conversations","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Mechanism (biology); Natural language generation; Natural (archaeology); Natural language processing; Natural language; Artificial intelligence; History; Physics","score_opus":0.023657450336670806,"score_gpt":0.2817597256151382,"score_spread":0.25810227527846735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5090207,0.00007205692,0.48480356,0.000024354724,0.005755675,0.00028411383,4.4924892e-7,0.000017012573,0.000022058031],"genre_scores_gemma":[0.9655924,0.0000026923024,0.03419503,0.000011547631,0.00018129208,0.0000029899813,0.000003293688,0.000009231747,0.0000015340721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978598,0.0002546774,0.001037285,0.00021448248,0.00045919002,0.00017461208],"domain_scores_gemma":[0.998047,0.0002130103,0.0008237585,0.00029240677,0.00055355247,0.00007027598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014194958,0.00017420376,0.0004889632,0.00047824284,0.00014149903,0.00022890003,0.00046460913,0.000103883656,5.800589e-7],"category_scores_gemma":[0.00015968329,0.00016588165,0.00007785533,0.0005683305,0.000022260901,0.0006156979,0.00009509644,0.00022661686,1.5685934e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008613349,0.0044648196,0.00048492706,0.00017213445,0.000098072705,0.00002176817,0.0074518165,0.086707555,0.0063521946,0.8933199,0.000017576922,0.00082309963],"study_design_scores_gemma":[0.006776764,0.00066689495,0.00013927043,0.00015129165,0.000035925583,0.000005077768,0.0013769898,0.94433844,0.0009875254,0.045388393,5.0980304e-7,0.00013291887],"about_ca_topic_score_codex":0.0000741755,"about_ca_topic_score_gemma":0.000010224725,"teacher_disagreement_score":0.8576309,"about_ca_system_score_codex":0.00010429562,"about_ca_system_score_gemma":0.00018513548,"threshold_uncertainty_score":0.6764457},"labels":[],"label_agreement":null},{"id":"W4409576537","doi":"10.61091/jcmcc127a-150","title":"A study on the application of graph convolutional network based joint model in entity relationship extraction","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Graph; Entity–relationship model; Artificial intelligence; Natural language processing; Theoretical computer science; Information retrieval; Relational database","score_opus":0.055298366138905326,"score_gpt":0.3606994750947332,"score_spread":0.3054011089558279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8041887,0.0000631637,0.19041476,0.0006359421,0.0025771246,0.00046789585,6.6892255e-7,0.000011625845,0.0016400722],"genre_scores_gemma":[0.9961971,0.0000035347648,0.0034281332,0.000023613025,0.00032996025,0.0000054301127,6.406691e-7,0.0000056909785,0.000005916119],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997442,0.00061839476,0.0009519702,0.00013829216,0.0006875439,0.00016180373],"domain_scores_gemma":[0.99515057,0.0031998025,0.00091557606,0.00013815229,0.0005444031,0.00005151416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067837927,0.00012138664,0.0004084626,0.0002813602,0.0004934827,0.00007716176,0.00023226926,0.00009138364,0.0000026021446],"category_scores_gemma":[0.0013302672,0.00009859134,0.00015523043,0.0009246681,0.0001177506,0.0001020726,0.000053678068,0.00038061346,3.6796814e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055255678,0.0008879992,0.0092437295,0.000020660158,0.000048701193,9.592757e-7,0.0013253473,0.018520523,0.000023664965,0.9693918,0.00005673705,0.00042458958],"study_design_scores_gemma":[0.0013415273,0.00012756116,0.01469699,0.00013658659,0.000077938035,5.365737e-7,0.0012700588,0.10401264,0.000016518485,0.8781962,0.00004481805,0.00007867191],"about_ca_topic_score_codex":0.00007863664,"about_ca_topic_score_gemma":0.000018617893,"teacher_disagreement_score":0.19200833,"about_ca_system_score_codex":0.00012590102,"about_ca_system_score_gemma":0.00036472126,"threshold_uncertainty_score":0.40204382},"labels":[],"label_agreement":null},{"id":"W4409576540","doi":"10.61091/jcmcc127a-146","title":"Analysis of Micromechanical Behavior and Adaptive Optimization Algorithm for High Performance Concrete with Complex Mineral Admixtures for Bridges","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Optimization algorithm; Materials science; Structural engineering; Algorithm; Mathematical optimization; Engineering; Mathematics","score_opus":0.012653406855561712,"score_gpt":0.24593549608017307,"score_spread":0.23328208922461136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6075433,0.000061034334,0.39011407,0.00000846058,0.0017164066,0.00048453565,0.000032534892,0.000017541763,0.000022125174],"genre_scores_gemma":[0.90822864,0.000025395197,0.09145538,0.000008818107,0.0002206114,0.000013265546,0.000020044994,0.000025118836,0.0000027120834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841166,0.000028547485,0.0009639388,0.00014650087,0.00022746714,0.00022188404],"domain_scores_gemma":[0.9977414,0.0005353947,0.00060524064,0.000114485665,0.00094554434,0.000057952777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006916585,0.00024744577,0.0010152033,0.00038514906,0.00011580401,0.00009335775,0.00016337728,0.00012294819,0.0000030270355],"category_scores_gemma":[0.00009343424,0.0002164371,0.00010688614,0.00040536493,0.000079194935,0.00013717188,0.00006337383,0.00012559211,2.285088e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013884243,0.00017139272,0.00054567686,0.002618568,0.0070485845,0.0000063082107,0.0009221514,0.03937964,0.044495966,0.894418,0.00027416105,0.008731133],"study_design_scores_gemma":[0.006313946,0.001636952,0.0003235189,0.00034645267,0.0019529475,0.000009158282,0.00014402448,0.9683662,0.016895939,0.0036817812,0.000044057455,0.00028502417],"about_ca_topic_score_codex":0.000003324616,"about_ca_topic_score_gemma":1.231034e-7,"teacher_disagreement_score":0.92898655,"about_ca_system_score_codex":0.00006328597,"about_ca_system_score_gemma":0.000057828074,"threshold_uncertainty_score":0.8826049},"labels":[],"label_agreement":null},{"id":"W4409576542","doi":"10.61091/jcmcc127a-138","title":"Research on the Conservation and Display of Mural Paintings in Tomb Chambers Based on Digital Twin Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mural; Painting; Art; Visual arts; Computer graphics (images); Art history; Archaeology; Geography; Computer science","score_opus":0.02464243527462594,"score_gpt":0.27516443305881916,"score_spread":0.2505219977841932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99534196,0.00009691406,0.00004472004,0.0011639296,0.001538435,0.00016815953,0.0000032615512,0.000008992197,0.0016336413],"genre_scores_gemma":[0.999653,0.000006895309,0.00019363202,0.000053105425,0.00008108207,4.1446154e-7,0.0000015604551,0.000003690697,0.000006632229],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99840224,0.00018949009,0.00057616644,0.00014207336,0.00046034137,0.00022967157],"domain_scores_gemma":[0.99651873,0.002722391,0.00031692343,0.00013343956,0.00025653563,0.000051988285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031815565,0.0001375632,0.00036259813,0.00027171822,0.000258438,0.00018832022,0.00023377604,0.000119787735,0.0000067245296],"category_scores_gemma":[0.0010315483,0.000089109795,0.00005315641,0.0006707774,0.00024246499,0.000099400335,0.00004046914,0.0005762108,9.683158e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007166071,0.00057319883,0.19730836,0.00036999158,0.00007836899,0.000037027083,0.0015952858,0.00081964186,0.0001312254,0.78080803,0.0004921815,0.01707007],"study_design_scores_gemma":[0.0063735307,0.0036100391,0.06929404,0.003232817,0.00003717812,0.0000268301,0.006173846,0.19758222,0.0005967302,0.71199846,0.0006602248,0.00041408007],"about_ca_topic_score_codex":0.000064509164,"about_ca_topic_score_gemma":0.000007677371,"teacher_disagreement_score":0.19676256,"about_ca_system_score_codex":0.00001605158,"about_ca_system_score_gemma":0.0000947489,"threshold_uncertainty_score":0.3633792},"labels":[],"label_agreement":null},{"id":"W4409576543","doi":"10.61091/jcmcc127a-121","title":"Numerical simulation study of load adaptation analysis and exercise effect in aerobics training","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Training (meteorology); Computer science; Physical medicine and rehabilitation; Physical therapy; Simulation; Psychology; Medicine; Physics","score_opus":0.01905543221415586,"score_gpt":0.30346534153942467,"score_spread":0.28440990932526883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99599123,0.00017472258,0.0018986134,0.000016549735,0.0014147343,0.00036760306,1.4666621e-7,0.0000099018025,0.00012648826],"genre_scores_gemma":[0.9989807,0.000017057831,0.0008412673,0.0000067039764,0.00013923389,0.0000016622929,8.725115e-7,0.000010777903,0.000001725617],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980793,0.000042736378,0.0010785501,0.0001553313,0.00047817343,0.0001659367],"domain_scores_gemma":[0.9982716,0.0004970016,0.00066731556,0.00012986701,0.0003545311,0.00007972283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016712749,0.00017422951,0.0011194211,0.0005863415,0.000085706546,0.00004253515,0.0000757267,0.00010327521,0.0000016160665],"category_scores_gemma":[0.0002788814,0.00015005519,0.00012050846,0.0009804959,0.000036194077,0.00012248209,0.000046224402,0.00032777662,7.683123e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004992425,0.008282437,0.70906335,0.002639122,0.0034268852,0.00021878965,0.10198149,0.046575204,0.00041252276,0.044114597,0.000010774483,0.07828239],"study_design_scores_gemma":[0.043431565,0.008340234,0.18120767,0.0035318886,0.005925895,0.00003561026,0.015521949,0.6942482,0.0005024117,0.046768446,0.000018476121,0.00046767833],"about_ca_topic_score_codex":0.000031207983,"about_ca_topic_score_gemma":0.0000015507583,"teacher_disagreement_score":0.64767295,"about_ca_system_score_codex":0.00007121207,"about_ca_system_score_gemma":0.00015172787,"threshold_uncertainty_score":0.61190724},"labels":[],"label_agreement":null},{"id":"W4409576546","doi":"10.61091/jcmcc127a-103","title":"An investigation of algorithmic simulation efficiency of BIM synergistic green new energy fire protection technology in high-rise building water supply and drainage system design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Architectural engineering; Efficient energy use; Drainage; Environmental science; Drainage system (geomorphology); Civil engineering; Computer science; Engineering; Electrical engineering","score_opus":0.005477314987275017,"score_gpt":0.2114376270549888,"score_spread":0.20596031206771379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6807124,0.0001258795,0.3175576,0.000025509733,0.0013414042,0.00019892532,4.326647e-7,0.000027835205,0.000010027228],"genre_scores_gemma":[0.9934401,0.000004806425,0.006368936,0.0000011322235,0.00016451339,0.000002171173,7.134827e-7,0.000016856606,7.6065976e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99825895,0.0001185377,0.0010398943,0.00014721346,0.00023681026,0.00019860212],"domain_scores_gemma":[0.99881744,0.0002622828,0.0003743239,0.00016178138,0.0003157708,0.000068382644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091547176,0.00019326042,0.0005947443,0.00050998613,0.00008956965,0.000047831745,0.00017598722,0.0002200382,6.36635e-7],"category_scores_gemma":[0.00013155212,0.00016700687,0.000046657,0.00048024554,0.00009037817,0.00020877685,0.0000634521,0.00025351066,2.1487875e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011627281,0.00014606291,0.0004064373,0.0024171623,0.00009606722,0.000009654821,0.0017283898,0.09464628,0.04682662,0.84442294,0.0000034550073,0.009180646],"study_design_scores_gemma":[0.0013928415,0.00038573783,0.000113419104,0.0004397927,0.00004587512,0.000007390563,0.0003260848,0.40330476,0.019680757,0.5741989,0.0000029146895,0.000101499376],"about_ca_topic_score_codex":0.00013786415,"about_ca_topic_score_gemma":6.7855444e-7,"teacher_disagreement_score":0.31272775,"about_ca_system_score_codex":0.00018337424,"about_ca_system_score_gemma":0.00010246439,"threshold_uncertainty_score":0.68103427},"labels":[],"label_agreement":null},{"id":"W4409576551","doi":"10.61091/jcmcc127a-134","title":"Research on Multi-Label Legal Text Categorization Methods Based on Large Predicate Models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Predicate (mathematical logic); Categorization; Natural language processing; Computer science; Text categorization; Artificial intelligence; Information retrieval; Programming language","score_opus":0.07133117302106569,"score_gpt":0.391292831074241,"score_spread":0.31996165805317534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576551","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009835144,0.0001256714,0.97619,0.0015674161,0.008694282,0.000369427,0.0000013208727,0.00016518366,0.0030515706],"genre_scores_gemma":[0.87979263,0.000023830618,0.11979296,0.0000938101,0.00022168296,0.0000075980593,0.0000011400083,0.00001879567,0.000047527275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964669,0.0005093813,0.0010634975,0.000410171,0.0010665206,0.0004835599],"domain_scores_gemma":[0.99548465,0.0020019363,0.00074682327,0.0006602094,0.0009659956,0.00014039756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059799696,0.00028709703,0.00059324055,0.0010472045,0.00061515224,0.0006977131,0.0014552667,0.00026805044,0.0000022765942],"category_scores_gemma":[0.00101931,0.00024442226,0.00012457011,0.0013723631,0.00011803305,0.00049680076,0.0004982346,0.0010302147,0.000004295582],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058988582,0.0013908537,0.000016046488,0.000077540586,0.000039806917,0.0000073305696,0.00020997097,0.00046335993,0.00023200695,0.98399687,0.00061293016,0.012894271],"study_design_scores_gemma":[0.003185518,0.0006292307,0.000024024836,0.00023761965,0.00001530465,0.0000029223684,0.000121478704,0.51712304,0.001768753,0.47599992,0.0007555152,0.00013664922],"about_ca_topic_score_codex":0.0000055400483,"about_ca_topic_score_gemma":1.8044989e-7,"teacher_disagreement_score":0.8699575,"about_ca_system_score_codex":0.00020438555,"about_ca_system_score_gemma":0.00037570435,"threshold_uncertainty_score":0.996725},"labels":[],"label_agreement":null},{"id":"W4409576553","doi":"10.61091/jcmcc127a-131","title":"Inference of Discourse Hierarchical Features in English Corpus Based on Multilayer Bayesian Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inference; Computer science; Artificial intelligence; Natural language processing; Bayesian inference; Bayesian probability; Linguistics","score_opus":0.010008845663375152,"score_gpt":0.2906160256711784,"score_spread":0.2806071800078032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576553","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18063754,0.000834529,0.8090812,0.00038820365,0.007941215,0.00034152364,0.0000014351949,0.00011972128,0.0006546298],"genre_scores_gemma":[0.8863757,0.000011430689,0.113322765,0.0000473741,0.00022496721,0.0000017158884,3.8864158e-7,0.000013101372,0.0000025245506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99746406,0.00015613665,0.0011162214,0.0002819976,0.00067182246,0.00030975742],"domain_scores_gemma":[0.996897,0.0012069562,0.00072552497,0.00038809405,0.0006700788,0.000112378446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001539202,0.00028018904,0.0007662297,0.00063141633,0.00012261714,0.00023338979,0.0010964837,0.00020878391,7.7693744e-7],"category_scores_gemma":[0.001810121,0.00023536981,0.00014870927,0.00070165854,0.00008915371,0.00030537165,0.0003592157,0.00093133206,9.790524e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110524015,0.00065445004,0.00024821344,0.00023097805,0.000024750372,0.00003009992,0.0012251581,0.0019277501,0.000345385,0.9875594,0.000035430407,0.0076079117],"study_design_scores_gemma":[0.0019398762,0.00031179175,0.000026244348,0.0013206109,0.000017298742,0.000005297251,0.00006248127,0.47002083,0.0021603468,0.5239647,0.000009248054,0.00016127551],"about_ca_topic_score_codex":0.0000161994,"about_ca_topic_score_gemma":8.942177e-7,"teacher_disagreement_score":0.7057382,"about_ca_system_score_codex":0.000104272855,"about_ca_system_score_gemma":0.00035541528,"threshold_uncertainty_score":0.9598102},"labels":[],"label_agreement":null},{"id":"W4409579917","doi":"10.61091/jcmcc127a-074","title":"Optimization design model construction of round faceted gemstone facets based on geometric transformation theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Engineering drawing; Computer science; Geometric modeling; Computer graphics (images); Geometric transformation; Geometry; Engineering; Mathematics; Artificial intelligence; Image (mathematics)","score_opus":0.01076558568462513,"score_gpt":0.24395503222606935,"score_spread":0.23318944654144422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409579917","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039271764,0.000112043934,0.95790917,0.00002638044,0.0016725962,0.00024993304,0.0000018096418,0.00008565057,0.000670648],"genre_scores_gemma":[0.85916024,0.000050175375,0.14069226,0.0000087485005,0.00006272678,0.0000022378265,0.0000017537213,0.000020421377,0.0000014395621],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981293,0.00009752943,0.0010504085,0.00011704194,0.0004256574,0.00018006579],"domain_scores_gemma":[0.99815357,0.0006696238,0.00053806085,0.00015871951,0.00041216158,0.00006788312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010789223,0.00022740131,0.0006479426,0.0007258757,0.00011162093,0.00006135778,0.00019754533,0.00015657599,0.0000032695027],"category_scores_gemma":[0.00031996626,0.00021141137,0.00014267855,0.00092604203,0.00006926478,0.00022443333,0.000025666799,0.00032721384,2.1140887e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089355446,0.00015973684,0.0000045425163,0.00017818926,0.00007986536,5.845442e-7,0.0001251263,0.78395176,0.00074896537,0.21126121,0.000016817523,0.003383818],"study_design_scores_gemma":[0.0013960925,0.0002349773,0.0000030677727,0.00023510396,0.00010185886,0.0000030280626,0.00007631233,0.714458,0.009523963,0.273836,0.000007995901,0.00012363376],"about_ca_topic_score_codex":7.227243e-7,"about_ca_topic_score_gemma":1.33617934e-8,"teacher_disagreement_score":0.8198885,"about_ca_system_score_codex":0.00014453445,"about_ca_system_score_gemma":0.000064390224,"threshold_uncertainty_score":0.86211056},"labels":[],"label_agreement":null},{"id":"W4409579938","doi":"10.61091/jcmcc127a-070","title":"Combinatorial Optimization Algorithms in Tourism Planning and Emergency Management and Their Application to Resource Allocation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Resource allocation; Computer science; Tourism; Mathematical optimization; Resource planning; Operations research; Algorithm; Engineering; Environmental resource management; Mathematics; Geography; Environmental science","score_opus":0.00958854311294038,"score_gpt":0.2522237586805554,"score_spread":0.24263521556761503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409579938","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040743314,0.00067133707,0.9481249,0.00068734185,0.00731096,0.00073819695,0.0000013540824,0.000058927777,0.0016636865],"genre_scores_gemma":[0.9342964,0.00016104843,0.06485612,0.000066457804,0.0005546445,0.000014424289,0.0000051187317,0.000024114477,0.00002167135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99771523,0.000110514266,0.0010402753,0.00042218238,0.0003966693,0.00031511713],"domain_scores_gemma":[0.9984776,0.00023719046,0.0005683463,0.0003441217,0.0002162363,0.00015650831],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017460315,0.00029927553,0.0005427328,0.0006265614,0.00027114063,0.00041005766,0.00064926245,0.00012334973,6.829854e-7],"category_scores_gemma":[0.00011806039,0.00028184245,0.000055315864,0.0008529716,0.000041181956,0.0005432271,0.00093344756,0.00030156973,4.5763974e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004495958,0.00030770493,0.0003149175,0.00023431308,0.00008686402,0.000011617273,0.0015920992,0.0015308156,0.000049839007,0.9663606,0.00050180656,0.028964425],"study_design_scores_gemma":[0.004594577,0.00040282175,0.0007705077,0.0006007447,0.00006206203,0.000019781372,0.0008779129,0.40237823,0.00016213335,0.5866244,0.003080762,0.00042610944],"about_ca_topic_score_codex":0.000009935908,"about_ca_topic_score_gemma":2.3416267e-7,"teacher_disagreement_score":0.8935531,"about_ca_system_score_codex":0.00008451007,"about_ca_system_score_gemma":0.000036690963,"threshold_uncertainty_score":0.9999634},"labels":[],"label_agreement":null},{"id":"W4409579954","doi":"10.61091/jcmcc127a-094","title":"A nonlinear numerical computational study of the effect of groundwater infiltration on slope stability based on FLAC3D","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Infiltration (HVAC); Nonlinear system; Geotechnical engineering; Stability (learning theory); Groundwater; Geology; Computer science; Meteorology; Geography; Physics","score_opus":0.006657668082263697,"score_gpt":0.24000761730388184,"score_spread":0.23334994922161814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409579954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942393,0.0000056419112,0.0010492827,0.000079753176,0.0032609997,0.0004416427,0.0000012475336,0.0000064539063,0.00091573596],"genre_scores_gemma":[0.9994539,6.38942e-7,0.000407817,0.000017854323,0.000105554995,0.0000013995984,6.382984e-7,0.000009856309,0.0000023106156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976304,0.00032191334,0.0009169386,0.00016246962,0.0008210906,0.00014718853],"domain_scores_gemma":[0.99767727,0.0011603115,0.0007751591,0.00022629036,0.00010452786,0.00005647233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015083342,0.0001883931,0.0005601873,0.0000776566,0.00017764077,0.000042088348,0.00030435403,0.000105732404,0.0000252518],"category_scores_gemma":[0.00033714224,0.00011013581,0.00016210813,0.00037407977,0.000109182816,0.000062354266,0.00016240739,0.000388495,0.0000010031267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012191561,0.041827258,0.3716532,0.0019792286,0.0013838416,0.000043681117,0.010777549,0.41536993,0.003862659,0.12689574,0.0010479602,0.012967403],"study_design_scores_gemma":[0.045497786,0.0511631,0.051373396,0.0021480462,0.0008596692,0.00002478049,0.0008215995,0.6634788,0.022107273,0.16142677,0.00029512303,0.00080366066],"about_ca_topic_score_codex":0.000023979885,"about_ca_topic_score_gemma":6.5080565e-7,"teacher_disagreement_score":0.32027978,"about_ca_system_score_codex":0.000106403364,"about_ca_system_score_gemma":0.000051268133,"threshold_uncertainty_score":0.44912076},"labels":[],"label_agreement":null},{"id":"W4409579959","doi":"10.61091/jcmcc127a-075","title":"Innovative Practice of Digital Printing Technology and Computer Image Fusion in Personalized Packaging","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Digital printing; Computer science; Image (mathematics); Image fusion; Digital image; Computer graphics (images); Artificial intelligence; Computer vision; Engineering drawing; Multimedia; Engineering; Image processing","score_opus":0.00954301784375968,"score_gpt":0.2826414416280747,"score_spread":0.27309842378431504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409579959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8728332,0.00027454155,0.11901672,0.00080172817,0.004791323,0.00023934963,8.935742e-7,0.000038947088,0.0020032807],"genre_scores_gemma":[0.9654109,0.000021884489,0.034379397,0.000026106081,0.00014603618,0.0000010304072,3.099798e-7,0.000010308381,0.0000040180676],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99787873,0.00006664288,0.0011164359,0.00024937454,0.00041826136,0.00027053605],"domain_scores_gemma":[0.9966371,0.0011011,0.0010061155,0.00019826028,0.0009803075,0.000077100995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012859809,0.00022098569,0.00069385435,0.0006886663,0.00010967915,0.0003976919,0.0005017307,0.00012344224,4.1374966e-7],"category_scores_gemma":[0.001013048,0.00019841363,0.00006624787,0.001651127,0.00018722752,0.0010772024,0.0009357696,0.00045147646,3.795289e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004607121,0.00047418723,0.0013839725,0.00022839392,0.000064988184,0.00003928581,0.0012827241,0.000001824538,0.0006454325,0.97804713,0.000019887799,0.017766105],"study_design_scores_gemma":[0.007296398,0.0011058016,0.00055341754,0.002693381,0.000048984155,0.00021490188,0.0017312787,0.026600704,0.0026322564,0.955879,0.0008552034,0.00038870185],"about_ca_topic_score_codex":0.0000018008901,"about_ca_topic_score_gemma":3.1807456e-8,"teacher_disagreement_score":0.092577696,"about_ca_system_score_codex":0.000053026637,"about_ca_system_score_gemma":0.00015363668,"threshold_uncertainty_score":0.8091073},"labels":[],"label_agreement":null},{"id":"W4409579963","doi":"10.61091/jcmcc127a-090","title":"Research on Cost and Risk Co-minimization Model of Cross-border Logistics in Guangxi Based on Monte Carlo Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Monte Carlo method; Minification; Computer science; Econometrics; Mathematical optimization; Economics; Mathematics; Statistics","score_opus":0.04813606576249042,"score_gpt":0.3711427461187508,"score_spread":0.3230066803562604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409579963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9731239,0.000048318598,0.012289902,0.000316465,0.0019317393,0.00046175657,0.0000050734625,0.000029337878,0.011793493],"genre_scores_gemma":[0.9979895,0.000023340977,0.0015374558,0.00008888495,0.00032064813,0.000005014989,0.0000031816335,0.000021030433,0.000010972394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979412,0.000057393958,0.00096308,0.000218123,0.0005422721,0.00027791352],"domain_scores_gemma":[0.9968938,0.00083445833,0.0008618399,0.00025523416,0.0011343642,0.000020254975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026852177,0.00020799591,0.00056204334,0.0012294769,0.00033430834,0.00025857336,0.00029071196,0.00024291313,0.0000024893254],"category_scores_gemma":[0.0014555712,0.00018985437,0.00006706316,0.0010929786,0.0003067817,0.0002239625,0.00017797225,0.00089418393,7.9094997e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001914065,0.00095253356,0.010022826,0.00032917844,0.00004303666,0.000003463085,0.00009672343,0.032558452,0.000021445752,0.95454246,0.00032923947,0.00090922567],"study_design_scores_gemma":[0.004446894,0.00018268569,0.00084061176,0.00047469983,0.000061252555,0.0000012687391,0.0004854148,0.7218245,0.000086006,0.27119604,0.0002386386,0.00016193725],"about_ca_topic_score_codex":0.00007330136,"about_ca_topic_score_gemma":0.000002318095,"teacher_disagreement_score":0.6892661,"about_ca_system_score_codex":0.00007243399,"about_ca_system_score_gemma":0.00010667328,"threshold_uncertainty_score":0.77420366},"labels":[],"label_agreement":null},{"id":"W4409579966","doi":"10.61091/jcmcc127a-077","title":"A Study on the Method of Analyzing Accounting Statements Based on Combinatorial Mathematics","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Mathematics education; Mathematics; Computer science; Management science; Business; Engineering","score_opus":0.04387101821826479,"score_gpt":0.4079487154000475,"score_spread":0.36407769718178273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409579966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92336076,0.000043577005,0.028760584,0.0018502728,0.024723573,0.0020795825,0.000006173887,0.00008990685,0.01908555],"genre_scores_gemma":[0.9894457,0.0000058145993,0.009524828,0.00009844563,0.00086387334,0.000012074562,8.244392e-7,0.000032673808,0.000015753194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9947503,0.0008873197,0.0018912571,0.0002895072,0.0017492848,0.00043230323],"domain_scores_gemma":[0.9884084,0.006740911,0.0024251367,0.0004244421,0.0018965927,0.0001045454],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.013210789,0.0003658432,0.0009881816,0.00063782977,0.001006515,0.00032948764,0.00096130004,0.00018746319,0.000015333902],"category_scores_gemma":[0.005154691,0.00028395467,0.00023189488,0.0014505716,0.00023584954,0.00023221776,0.0002042893,0.000819618,0.0000014752349],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106758234,0.003102946,0.0010740935,0.00011118038,0.00021000202,0.0000054737243,0.008686636,0.00003767983,0.00014678709,0.9855787,0.00045717537,0.0004825571],"study_design_scores_gemma":[0.003954189,0.0015517031,0.00041306604,0.0014009008,0.0002253053,0.0000021355384,0.0192692,0.0018947772,0.0019211649,0.96815765,0.0008665176,0.00034340587],"about_ca_topic_score_codex":0.000062111976,"about_ca_topic_score_gemma":0.0000014563893,"teacher_disagreement_score":0.06608493,"about_ca_system_score_codex":0.00034178392,"about_ca_system_score_gemma":0.00080715155,"threshold_uncertainty_score":0.99996126},"labels":[],"label_agreement":null},{"id":"W4409579967","doi":"10.61091/jcmcc127a-079","title":"Research on Algorithm Optimization and Application in Intelligent Class Scheduling System","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Elevator Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Class (philosophy); Mathematical optimization; Artificial intelligence; Mathematics","score_opus":0.013316296642519347,"score_gpt":0.27734677242352357,"score_spread":0.26403047578100425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409579967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51316375,0.001764526,0.469163,0.00009852146,0.01241221,0.00077033346,0.0000014389896,0.00010066876,0.0025255566],"genre_scores_gemma":[0.9947099,0.000062729516,0.0046669026,0.000004927763,0.0005216788,0.000007544567,5.352263e-7,0.000023392024,0.0000023548012],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811006,0.000119373944,0.0009211564,0.00016110764,0.00042934978,0.0002589776],"domain_scores_gemma":[0.9985509,0.000605682,0.00022232557,0.00016430617,0.00036544417,0.00009135941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002485188,0.00018126723,0.00051655964,0.0005069193,0.00017257944,0.00017444424,0.00019275224,0.00017046412,4.0177116e-7],"category_scores_gemma":[0.000101975806,0.00017184878,0.000053649088,0.0005194754,0.000044917062,0.000098544166,0.000076537064,0.0006040909,8.5334995e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031991036,0.00015504417,0.00009143983,0.0007055747,0.00007854655,0.000009714016,0.00042813102,0.066683404,0.00024220446,0.92031246,0.000034628873,0.0112268645],"study_design_scores_gemma":[0.0021258441,0.00020181132,0.00002821412,0.0014383114,0.000024743807,0.000017717994,0.0014196633,0.9592822,0.0004474844,0.034669373,0.00019618802,0.00014840388],"about_ca_topic_score_codex":0.000011075618,"about_ca_topic_score_gemma":4.4820027e-7,"teacher_disagreement_score":0.89259887,"about_ca_system_score_codex":0.00025751593,"about_ca_system_score_gemma":0.000059425958,"threshold_uncertainty_score":0.70077896},"labels":[],"label_agreement":null},{"id":"W4409579969","doi":"10.61091/jcmcc127a-052","title":"Study on the Problems and Countermeasures of the Development of Aviation Core Industry to Promote the Construction of Airside Economy in Henan Province Based on Entropy Weight Method and Grey Situation Decision-making","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Safety and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Aviation; Entropy (arrow of time); Business; Core (optical fiber); Industrial organization; Economy; Economics; Engineering","score_opus":0.018150869523038553,"score_gpt":0.2629827240552903,"score_spread":0.24483185453225173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409579969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990864,0.0000202842,0.00583717,0.00045383317,0.0014766557,0.001037568,3.7280685e-7,0.0000037601615,0.00030640565],"genre_scores_gemma":[0.9981038,0.0000016460966,0.0016970289,0.000053251897,0.00013169403,0.00000500244,1.7488743e-7,0.000006772005,6.535237e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99831176,0.00007577442,0.0009460973,0.00014133038,0.00041600154,0.00010901171],"domain_scores_gemma":[0.9972943,0.0007521211,0.0014186099,0.00017079466,0.00035396148,0.000010189488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031134314,0.00015095579,0.00037258747,0.00023476391,0.00024610234,0.000099318044,0.00024552608,0.000073583156,8.983766e-7],"category_scores_gemma":[0.00057614944,0.000084308595,0.00004729129,0.0003638357,0.00006593614,0.00013393354,0.00018105506,0.00028840703,6.3655825e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000539764,0.0010595465,0.03342012,0.00077532645,0.00016300473,0.0000015170497,0.003957425,0.0021486816,0.00020871176,0.9342029,0.000034210178,0.023488775],"study_design_scores_gemma":[0.005544635,0.0004911293,0.088477574,0.006444856,0.00026335724,0.000003334501,0.0048800753,0.03692612,0.0010958426,0.85537785,0.0002527057,0.00024252421],"about_ca_topic_score_codex":0.000012617538,"about_ca_topic_score_gemma":0.000008696857,"teacher_disagreement_score":0.07882507,"about_ca_system_score_codex":0.00005426594,"about_ca_system_score_gemma":0.00010170652,"threshold_uncertainty_score":0.3438005},"labels":[],"label_agreement":null},{"id":"W4409579974","doi":"10.61091/jcmcc127a-097","title":"A Study on Evaluation and Effectiveness Prediction of Medical English Teaching Combined with Multivariate Analysis Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Multivariate analysis; Computer science; Machine learning","score_opus":0.026064140449557457,"score_gpt":0.3415815151450323,"score_spread":0.31551737469547486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409579974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8544947,0.00007086369,0.14129665,0.00013859943,0.0034413426,0.00037863845,6.504254e-7,0.000031960477,0.00014657204],"genre_scores_gemma":[0.9970635,0.000005992877,0.0027309495,0.000009103951,0.00017452156,0.0000066556922,9.735526e-7,0.000007728485,5.5032507e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969635,0.0005771754,0.00084421027,0.0002783868,0.0011698575,0.00016687904],"domain_scores_gemma":[0.9962721,0.0016627241,0.0006483827,0.00029278285,0.001031599,0.00009244102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007868092,0.00020072564,0.0007213571,0.00066388986,0.00026587682,0.000121743215,0.00053960865,0.00018639027,9.869298e-7],"category_scores_gemma":[0.0017055438,0.00016194975,0.00009016984,0.0007185878,0.000064507665,0.00022333744,0.00025358098,0.0006344477,7.008803e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021163799,0.0018725031,0.009192163,0.0001132423,0.0010373938,0.000006481491,0.005079937,0.0017225085,0.000043161093,0.9789933,0.0000040654077,0.0017235994],"study_design_scores_gemma":[0.009486956,0.0030930394,0.012002825,0.0007728832,0.0009415784,0.000016391694,0.0019637905,0.6394388,0.00015813994,0.33194238,0.000004480134,0.00017872482],"about_ca_topic_score_codex":0.000021474189,"about_ca_topic_score_gemma":9.3271854e-7,"teacher_disagreement_score":0.6470509,"about_ca_system_score_codex":0.0000747827,"about_ca_system_score_gemma":0.00034401738,"threshold_uncertainty_score":0.6604119},"labels":[],"label_agreement":null},{"id":"W4409579979","doi":"10.61091/jcmcc127a-083","title":"Exploring the path of regional industrial upgrading and talent supply driven by new quality productivity","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Path (computing); Quality (philosophy); Business; Industrial organization; Economic geography; Operations management; Economics; Computer science; Economic growth","score_opus":0.09136277315259696,"score_gpt":0.2660247129613599,"score_spread":0.17466193980876293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409579979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866656,0.0006525542,0.001805874,0.0019524571,0.00812588,0.0002380697,0.0000089458845,0.000011230138,0.0005394048],"genre_scores_gemma":[0.99840605,0.00009555758,0.0006409631,0.000035070163,0.0007779376,0.0000020249106,0.0000015671177,0.000013783842,0.000027064632],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977915,0.00006576574,0.0015317154,0.00022451207,0.00018011362,0.00020633863],"domain_scores_gemma":[0.9973566,0.00052036304,0.0016201889,0.00021040005,0.00020296343,0.000089485635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024810513,0.00019067306,0.00075203634,0.00022330614,0.00021885798,0.00013845213,0.00028571588,0.000098921795,0.000004387372],"category_scores_gemma":[0.00089523365,0.000167877,0.00012411764,0.00047128942,0.00015816683,0.00029162978,0.0001716655,0.0004619024,5.7525233e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006413216,0.00022200576,0.008784012,0.00010592849,0.00010876373,7.9153165e-7,0.0009020271,0.0000055615064,0.00016077954,0.98643583,0.001820806,0.0013893348],"study_design_scores_gemma":[0.0051561194,0.00034407535,0.0054319142,0.00040139083,0.000041253057,0.000014773559,0.0005709978,0.0008151475,0.0007868447,0.98063153,0.005528998,0.00027694541],"about_ca_topic_score_codex":0.00009398627,"about_ca_topic_score_gemma":5.421071e-7,"teacher_disagreement_score":0.011740447,"about_ca_system_score_codex":0.00007398131,"about_ca_system_score_gemma":0.00011019169,"threshold_uncertainty_score":0.68458253},"labels":[],"label_agreement":null},{"id":"W4409579980","doi":"10.61091/jcmcc127a-051","title":"Research and Exploration of School-Enterprise Collaboration-Driven Nurturing Mode Based on PBL-CDIO","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"CDIO; Mode (computer interface); Knowledge management; Mathematics education; Engineering management; Psychology; Engineering; Engineering education; Engineering ethics; Computer science; Human–computer interaction","score_opus":0.028674518684438058,"score_gpt":0.33090861713772196,"score_spread":0.3022340984532839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409579980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858374,0.000033923545,0.004470245,0.0009196975,0.003205763,0.0002641901,0.0000021535748,0.000008550011,0.0052580987],"genre_scores_gemma":[0.9957402,0.000020532776,0.003932555,0.000034140256,0.0002293367,0.0000037593836,0.0000016958887,0.00001036278,0.000027456905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981479,0.000076755554,0.0007478914,0.00015909834,0.0006937972,0.000174572],"domain_scores_gemma":[0.99818367,0.0005969386,0.00047777288,0.00017077728,0.0004678535,0.00010296531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013391015,0.00013202094,0.00030784364,0.0002776916,0.00031845464,0.00014233243,0.0002097715,0.00008982808,0.000019117286],"category_scores_gemma":[0.0006733611,0.00011262389,0.0000441171,0.0007511394,0.00014948453,0.0004361278,0.00014710563,0.00035873218,0.0000022044553],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015144618,0.0010639526,0.0036977476,0.00013315062,0.00004175639,0.000002050838,0.001203872,0.0037546225,0.0027533001,0.98509693,0.001276947,0.000824237],"study_design_scores_gemma":[0.003134473,0.0011498018,0.002777286,0.00082538894,0.000037082504,0.0000041324424,0.0018526333,0.056191545,0.0032480217,0.92973924,0.000838813,0.00020160634],"about_ca_topic_score_codex":0.000020501693,"about_ca_topic_score_gemma":0.0000015344982,"teacher_disagreement_score":0.055357702,"about_ca_system_score_codex":0.00020539184,"about_ca_system_score_gemma":0.00018547218,"threshold_uncertainty_score":0.4592669},"labels":[],"label_agreement":null},{"id":"W4409580149","doi":"10.61091/jcmcc127a-092","title":"Prediction and mathematical modeling of compressive strength of recycled concrete under different loading conditions by steel fibers","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Compressive strength; Materials science; Composite material; Structural engineering; Engineering","score_opus":0.01028050926818151,"score_gpt":0.2302074932039674,"score_spread":0.2199269839357859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756101,0.00088306447,0.019658022,0.000024826935,0.0026004713,0.00020540836,0.000021669935,0.00003834314,0.0009581223],"genre_scores_gemma":[0.998608,0.00022452745,0.000992718,0.0000032149655,0.00013162526,0.0000022803358,0.0000041726903,0.000027831671,0.0000056258455],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977419,0.000064972155,0.0014167125,0.00014906375,0.00039565508,0.00023173864],"domain_scores_gemma":[0.997928,0.0007663374,0.00065951975,0.00018554847,0.00033988862,0.00012065547],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040253508,0.0002744826,0.0009570786,0.00022728692,0.00011704911,0.00006343435,0.00022064109,0.0001758913,0.000008521389],"category_scores_gemma":[0.00013676961,0.0002510418,0.00012626653,0.00020557288,0.00013371349,0.00019152141,0.00012183558,0.00037317455,1.9932907e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030139636,0.0002946555,0.00036227022,0.004663047,0.0015474014,0.000008075903,0.0023383957,0.013663952,0.06316105,0.91104126,0.0007165782,0.0019019438],"study_design_scores_gemma":[0.0036667902,0.00031422952,0.000031238847,0.0023378131,0.00023589334,0.000025804347,0.00051078503,0.78813565,0.01317867,0.19133328,0.000024291003,0.00020554892],"about_ca_topic_score_codex":0.0000030458552,"about_ca_topic_score_gemma":6.865061e-8,"teacher_disagreement_score":0.7744717,"about_ca_system_score_codex":0.00008007499,"about_ca_system_score_gemma":0.000045654797,"threshold_uncertainty_score":0.99999416},"labels":[],"label_agreement":null},{"id":"W4409580185","doi":"10.61091/jcmcc127a-086","title":"Study on the Protection and Utilization Strategy of Coastal Wetland Tourism Resources Based on Multi-Level Regression Analysis and the Path to Achieve Common Prosperity","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Prosperity; Tourism; Path analysis (statistics); Wetland; Path (computing); Regression analysis; Business; Environmental resource management; Geography; Natural resource economics; Environmental planning; Environmental science; Computer science; Economics; Ecology; Statistics; Economic growth; Mathematics; Computer network; Biology","score_opus":0.046082113219003976,"score_gpt":0.3034583871019922,"score_spread":0.2573762738829882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949031,0.000037848746,0.001419926,0.0012807696,0.0009925145,0.0010055068,0.0000014841719,0.0000061489245,0.00035269],"genre_scores_gemma":[0.99960256,0.000031628075,0.00017035459,0.000028459493,0.00013837892,0.000009306156,5.2203933e-7,0.0000062720956,0.000012507388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977396,0.00062716956,0.0005435305,0.00016402735,0.0007830365,0.00014264218],"domain_scores_gemma":[0.99820626,0.00083736563,0.0005625296,0.00014238102,0.0001777025,0.0000737713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004181333,0.00016058805,0.0004600672,0.00017701338,0.00075806025,0.00017652393,0.00019299981,0.00008372185,0.0000018322361],"category_scores_gemma":[0.00042691777,0.00009058515,0.00007828709,0.00046523608,0.00023042475,0.00005787892,0.000116096184,0.0002708795,1.08794566e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005575381,0.005626525,0.053453084,0.00025956,0.0013992499,0.000023590621,0.082536,0.0011163515,0.00022352573,0.8165432,0.0002357334,0.033007752],"study_design_scores_gemma":[0.032542113,0.0058939154,0.42083022,0.0025319993,0.00192479,0.0000059740933,0.049181115,0.06052044,0.0006191951,0.42412546,0.0009710714,0.0008537203],"about_ca_topic_score_codex":0.00012304028,"about_ca_topic_score_gemma":0.000029121582,"teacher_disagreement_score":0.3924178,"about_ca_system_score_codex":0.000053758406,"about_ca_system_score_gemma":0.000077050376,"threshold_uncertainty_score":0.5830463},"labels":[],"label_agreement":null},{"id":"W4409580190","doi":"10.61091/jcmcc127a-081","title":"A Deep Learning-Based Study on Predicting Changes in Data-Driven Opinion Dynamics in Social Media","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Social media; Dynamics (music); Data science; Computer science; Artificial intelligence; Psychology; World Wide Web; Pedagogy","score_opus":0.02048374107871513,"score_gpt":0.30418390154289293,"score_spread":0.2837001604641778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884548,0.000034848963,0.0021417367,0.00026462498,0.008094565,0.00037519622,0.0000072138096,0.000017013965,0.0006099926],"genre_scores_gemma":[0.9986019,0.0000035847036,0.000213628,0.0000117334475,0.0011288554,0.0000039699066,0.000014747991,0.000020232716,0.0000013570506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99779475,0.00023614746,0.0009474086,0.00027078178,0.00044433004,0.00030656077],"domain_scores_gemma":[0.99766195,0.0011052266,0.00075503334,0.00020298122,0.00020499658,0.00006982396],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016058368,0.00024672717,0.00072478695,0.00039766042,0.00025972805,0.0001720469,0.00053364417,0.00011606807,0.0000034854932],"category_scores_gemma":[0.00031086913,0.0002471148,0.000077208366,0.00054513273,0.000048481088,0.0001278751,0.0003045491,0.00088430935,4.4765142e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015400191,0.0028464014,0.16463211,0.0001177531,0.000116756666,0.000013223797,0.006074308,0.0032020283,0.000008149208,0.8188762,0.000022805903,0.0039362716],"study_design_scores_gemma":[0.010653845,0.00066261325,0.012259142,0.00094045704,0.000059836864,7.748971e-7,0.015963256,0.7102836,0.000009182044,0.24870324,0.0000770482,0.00038704937],"about_ca_topic_score_codex":0.000041326464,"about_ca_topic_score_gemma":0.00003776123,"teacher_disagreement_score":0.70708156,"about_ca_system_score_codex":0.0002045386,"about_ca_system_score_gemma":0.00016382986,"threshold_uncertainty_score":0.9999981},"labels":[],"label_agreement":null},{"id":"W4409580202","doi":"10.61091/jcmcc127a-053","title":"Research on Dynamic Target Detection and Adaptive High-Rate Compression Technology for Power Smart Site Monitoring Video Based on Artificial Intelligence Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Video monitoring; Artificial intelligence; Data compression; Real-time computing; Algorithm; Computer vision","score_opus":0.02650319785476612,"score_gpt":0.3065402347912066,"score_spread":0.2800370369364405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81966645,0.000087420616,0.16313316,0.002173574,0.013574933,0.00075410825,0.000003907154,0.00012548685,0.00048094595],"genre_scores_gemma":[0.9924982,0.0000061644414,0.0066510052,0.000076431024,0.00071815343,0.000015165796,0.000002244931,0.000028872928,0.0000037375846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980029,0.000053341242,0.00084417284,0.0003144031,0.0004128778,0.00037230572],"domain_scores_gemma":[0.9965997,0.0012035149,0.00066937564,0.00025044192,0.0012513412,0.000025660103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023819532,0.00026635165,0.0005309724,0.0017779553,0.0008599032,0.00031702683,0.00032892928,0.0003243582,0.0000027334988],"category_scores_gemma":[0.000767004,0.00024488615,0.00008528282,0.0013832557,0.00022923252,0.00026188945,0.00026217254,0.0009783974,0.0000039073966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035572785,0.0005438121,0.0001696667,0.00013544358,0.00006324558,0.000008429457,0.00004181663,0.00022273292,0.0015506933,0.9745553,0.00006513804,0.022287969],"study_design_scores_gemma":[0.0013363203,0.000729422,0.00021088427,0.00088209676,0.000055858432,0.0000028113755,0.0008008484,0.14822105,0.004091288,0.84307396,0.00039058324,0.00020486423],"about_ca_topic_score_codex":0.000020262367,"about_ca_topic_score_gemma":0.0000012482748,"teacher_disagreement_score":0.17283176,"about_ca_system_score_codex":0.00011457268,"about_ca_system_score_gemma":0.00006066684,"threshold_uncertainty_score":0.99861676},"labels":[],"label_agreement":null},{"id":"W4409580206","doi":"10.61091/jcmcc127a-056","title":"A Study on Analysing the Quality of College English Teaching Based on Computer and Information Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Mathematics education; Computer science; Information technology; Engineering management; Engineering; Psychology; Philosophy; Epistemology","score_opus":0.019068641295314645,"score_gpt":0.3215396412987653,"score_spread":0.3024710000034506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94028986,0.000040716233,0.04998248,0.0017139388,0.006721333,0.0003518122,0.0000015468395,0.000051405656,0.0008469294],"genre_scores_gemma":[0.9923703,0.00000266544,0.0072737997,0.00013266972,0.00021144863,0.0000024956744,3.4752003e-7,0.0000049012287,0.0000013556333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977586,0.00030166862,0.0011026798,0.00017250804,0.0004873271,0.00017720094],"domain_scores_gemma":[0.9955288,0.0022829853,0.0011074921,0.00041576038,0.00061790925,0.000047059963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035832976,0.00019265141,0.00057579204,0.0007246368,0.0004195096,0.00014387305,0.0007441253,0.00016026646,4.234563e-7],"category_scores_gemma":[0.0012698385,0.0001434298,0.00008942753,0.000670497,0.0001258425,0.00031733536,0.00029869296,0.00073869526,3.030667e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048632282,0.0007419188,0.0016964391,0.000057911482,0.00008475328,0.0000020255115,0.0019494187,0.00012252324,0.000020412484,0.99129725,0.00006882345,0.003909894],"study_design_scores_gemma":[0.0070641725,0.0034991947,0.010398847,0.0006988268,0.000121840465,0.000020253185,0.0050068735,0.043951053,0.00051483774,0.92777896,0.0006061964,0.000338928],"about_ca_topic_score_codex":0.0000047784806,"about_ca_topic_score_gemma":2.4474602e-7,"teacher_disagreement_score":0.06351827,"about_ca_system_score_codex":0.000056847064,"about_ca_system_score_gemma":0.00020350442,"threshold_uncertainty_score":0.58488977},"labels":[],"label_agreement":null},{"id":"W4409580635","doi":"10.61091/jcmcc127a-055","title":"A Quality Assessment Model for Civic Education in Colleges and Universities Based on Improved Deep Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Mathematics education; Political science; Medical education; Computer science; Psychology; Medicine","score_opus":0.02272710870152285,"score_gpt":0.35661906716928043,"score_spread":0.3338919584677576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.962676,0.00010359534,0.021372115,0.0017248458,0.005317696,0.00044817815,0.0000011059155,0.000018510138,0.008337986],"genre_scores_gemma":[0.99511313,0.000017331911,0.004355499,0.00009381229,0.00030021678,0.0000035406852,8.9992335e-7,0.0000052626133,0.00011032428],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986925,0.00024143212,0.00048971415,0.00012580327,0.00024092659,0.0002095965],"domain_scores_gemma":[0.99715686,0.0019357434,0.00035308793,0.00006113132,0.00039290765,0.000100255726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022412385,0.00011344604,0.0003566078,0.00018638614,0.00044394212,0.00012770374,0.00013131757,0.00012694376,0.0000024119565],"category_scores_gemma":[0.00092317734,0.000104928,0.00006856895,0.00018875944,0.000116897325,0.000103717626,0.00004165568,0.0002865565,7.0397945e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007717726,0.00044235785,0.000644139,0.00013023854,0.000011205609,2.5731205e-7,0.0025246951,0.00030489863,0.000020759699,0.99314743,0.000025119058,0.0026717123],"study_design_scores_gemma":[0.0020505318,0.00029711047,0.0009712077,0.00023152756,0.00003027288,3.4772245e-7,0.00974206,0.22377469,0.00001118396,0.7623257,0.0004466886,0.00011867508],"about_ca_topic_score_codex":0.0001080686,"about_ca_topic_score_gemma":0.000012630653,"teacher_disagreement_score":0.23082173,"about_ca_system_score_codex":0.00027588796,"about_ca_system_score_gemma":0.0015168437,"threshold_uncertainty_score":0.42788398},"labels":[],"label_agreement":null},{"id":"W4409580648","doi":"10.61091/jcmcc127a-054","title":"Supervised Self-Encoder-Based Feature Learning Study for Fault Diagnosis of Variable Operating Condition Rotor Blade Systems","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blade (archaeology); Rotor (electric); Feature (linguistics); Fault (geology); Encoder; Variable (mathematics); Computer science; Artificial intelligence; Pattern recognition (psychology); Engineering; Mathematics; Structural engineering; Mechanical engineering; Operating system","score_opus":0.006250861287631398,"score_gpt":0.23412966299289817,"score_spread":0.22787880170526678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9354966,0.00066687644,0.047856092,0.000029262395,0.014392213,0.0012574815,0.000009808226,0.00012842748,0.00016321128],"genre_scores_gemma":[0.99005866,0.000031435055,0.0092914235,0.0000041265175,0.0005228084,0.00003996928,0.0000040703167,0.000044121738,0.0000033801184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979128,0.00010083856,0.001118843,0.00018585524,0.00039139105,0.00029024994],"domain_scores_gemma":[0.99637574,0.0021397662,0.00040901342,0.00020126556,0.00076613954,0.0001080781],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016191641,0.00030449146,0.00091730006,0.00023354977,0.00022996406,0.0001888521,0.00027786888,0.00022357052,0.0000017773433],"category_scores_gemma":[0.0010856949,0.00028175095,0.0001582753,0.0003634496,0.000029808196,0.00011731428,0.00006750948,0.0005621491,1.8407259e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082075494,0.002916814,0.0071557737,0.007465189,0.0010176954,0.000012694301,0.0021794857,0.8168865,0.002138293,0.15905233,0.0007615542,0.0003315971],"study_design_scores_gemma":[0.0076578744,0.0015504574,0.00023092511,0.0017998706,0.00044395536,0.0000064440455,0.0011026901,0.96954954,0.0023313288,0.014273346,0.00066671736,0.00038683083],"about_ca_topic_score_codex":0.000009191865,"about_ca_topic_score_gemma":1.9805809e-7,"teacher_disagreement_score":0.15266305,"about_ca_system_score_codex":0.0001307669,"about_ca_system_score_gemma":0.00012793628,"threshold_uncertainty_score":0.99996346},"labels":[],"label_agreement":null},{"id":"W4409580660","doi":"10.61091/jcmcc127a-080","title":"Research on clustering and co-regulation of virtual power plant resources based on machine learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Artificial intelligence","score_opus":0.014236468154179605,"score_gpt":0.28748239258923697,"score_spread":0.27324592443505735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635908,0.00017849806,0.029256381,0.00008809092,0.002908485,0.0002716292,0.000006339212,0.000056303797,0.0036434596],"genre_scores_gemma":[0.99825466,0.000023768564,0.0014623693,0.0000070150168,0.00021851344,0.0000018151263,0.0000019616778,0.000022492397,0.00000741409],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998506,0.00007932383,0.00061549054,0.00013269924,0.00046696787,0.000199492],"domain_scores_gemma":[0.9980804,0.0012437905,0.00024633066,0.00014036377,0.00020951321,0.00007960765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011877699,0.00016876208,0.00041154528,0.0003812418,0.00025270536,0.00008240505,0.00015767336,0.000104136394,0.000003832143],"category_scores_gemma":[0.00017071483,0.00015255195,0.000058926576,0.00029631905,0.000077401724,0.00006313873,0.000066052155,0.00063121045,6.613617e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031740087,0.0005015502,0.00020333855,0.00043827263,0.00012010617,0.0000074329737,0.001097766,0.12888782,0.0034261968,0.8560788,0.00016837577,0.008752955],"study_design_scores_gemma":[0.0038620618,0.0015502411,0.00059135305,0.0014031765,0.000035572317,0.0000105142235,0.000603503,0.8947176,0.0033832612,0.09095586,0.0026444588,0.00024240343],"about_ca_topic_score_codex":0.0000029324751,"about_ca_topic_score_gemma":2.1013614e-7,"teacher_disagreement_score":0.76582974,"about_ca_system_score_codex":0.000064304055,"about_ca_system_score_gemma":0.000029930663,"threshold_uncertainty_score":0.6220888},"labels":[],"label_agreement":null},{"id":"W4409580680","doi":"10.61091/jcmcc127a-082","title":"Study on the construction of learners’ emotion perception model and its improvement of behavioral patterns in artificial intelligence-assisted education based on deep learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychology; Perception; Deep learning; Artificial intelligence; Cognitive psychology; Computer science; Neuroscience","score_opus":0.045385018793823534,"score_gpt":0.33344500599014365,"score_spread":0.2880599871963201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96572727,0.00001617319,0.03080134,0.00035460092,0.0027387172,0.00028848462,3.4077206e-7,0.000009420598,0.00006362969],"genre_scores_gemma":[0.9982931,0.000008767191,0.0016023165,0.00001377829,0.000070632326,0.000004076027,5.965949e-7,0.0000052421046,0.0000014983235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99843866,0.00015028908,0.0007980202,0.00016654786,0.00033271473,0.00011375119],"domain_scores_gemma":[0.99825627,0.00043344416,0.00077110145,0.00016044368,0.00034809025,0.000030641175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012481492,0.00013404341,0.00031856148,0.0003968244,0.00014215577,0.000052106596,0.0002760394,0.00010830882,0.0000014331274],"category_scores_gemma":[0.00019740347,0.00011083832,0.00005694347,0.00032719615,0.000055882272,0.00010606654,0.000090389985,0.00043159534,1.5319226e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007083495,0.002578831,0.0025575373,0.000078432146,0.000021655876,7.2440395e-7,0.00398564,0.0018538071,0.0013472207,0.94898546,0.0000012171898,0.038518667],"study_design_scores_gemma":[0.0011125983,0.003587957,0.008917203,0.0007284995,0.00006896742,0.000009109475,0.020043941,0.3576053,0.0030658164,0.60468763,0.0000010645415,0.00017190154],"about_ca_topic_score_codex":0.000012615723,"about_ca_topic_score_gemma":0.0000014082303,"teacher_disagreement_score":0.35575148,"about_ca_system_score_codex":0.00007937386,"about_ca_system_score_gemma":0.00021610085,"threshold_uncertainty_score":0.45198557},"labels":[],"label_agreement":null},{"id":"W4409580685","doi":"10.61091/jcmcc127a-071","title":"Quantifying the Enhancing Effect of East Asian Cultural Exchange and Cooperation on Regional Sense of Community under the Perspective of Cultural Intersections Using Neural Network Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Sense of community; Cultural exchange; Economic geography; Sociology; Psychology; Geography; Computer science; Social psychology; Anthropology; Artificial intelligence","score_opus":0.05929344208972873,"score_gpt":0.3284105843140172,"score_spread":0.26911714222428845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944119,0.0002522263,0.001434591,0.0006715274,0.0026128455,0.0002397898,5.1804585e-7,0.000004494711,0.00037212222],"genre_scores_gemma":[0.9993487,0.00006504733,0.00019503929,0.000018184513,0.000362016,8.9846804e-7,4.9599726e-7,0.0000066911566,0.0000029040993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9979288,0.0007403842,0.00064448547,0.000081652084,0.00044085272,0.00016380905],"domain_scores_gemma":[0.9977404,0.0009759713,0.0007103172,0.00011184562,0.00041916364,0.000042342333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027411887,0.00015049662,0.0004360972,0.00007417473,0.0010485091,0.00007508673,0.00019623828,0.000082992054,0.0000011498781],"category_scores_gemma":[0.00030962637,0.000090559886,0.0001285744,0.00028148078,0.00037532437,0.00014563148,0.0001370482,0.00043161874,3.874606e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025538975,0.00019701748,0.00037159194,0.00020348666,0.0002635471,9.2696274e-7,0.08418052,0.023856625,0.0013286476,0.8889434,0.00006574306,0.0003331325],"study_design_scores_gemma":[0.0071529853,0.0022083102,0.0018658563,0.0045510214,0.0007892367,0.000073289346,0.5002628,0.19719177,0.0016491053,0.28357,0.0001090863,0.0005765516],"about_ca_topic_score_codex":0.0003425932,"about_ca_topic_score_gemma":0.00003383909,"teacher_disagreement_score":0.6053734,"about_ca_system_score_codex":0.00013211217,"about_ca_system_score_gemma":0.00008431111,"threshold_uncertainty_score":0.80643904},"labels":[],"label_agreement":null},{"id":"W4409580688","doi":"10.61091/jcmcc127a-093","title":"Exploring the Path of High Performance Computing Accelerating New Quality Productivity to Economic Policy Innovation in the Perspective of Political Economy","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Productivity; Politics; Path (computing); Quality (philosophy); Economic system; Industrial organization; Economics; Innovation economics; Business; Political science; Computer science; Economic growth","score_opus":0.06354010645613627,"score_gpt":0.32069137357750616,"score_spread":0.2571512671213699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868937,0.000019704106,0.00064011326,0.005422808,0.0023337202,0.00032116956,4.3031423e-7,0.0000046106074,0.0043637375],"genre_scores_gemma":[0.9977964,0.0000126411205,0.000976644,0.00005696679,0.0011439695,0.0000019584215,2.430944e-7,0.000006355184,0.000004825961],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977726,0.0002668362,0.0011693462,0.00014842923,0.00037738713,0.00026540496],"domain_scores_gemma":[0.9975853,0.0010755965,0.0008608508,0.00015475166,0.00026877597,0.000054752458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051156003,0.00013674998,0.0004636652,0.00025999607,0.00033841087,0.00009544872,0.00043885427,0.00005125095,0.0000011257847],"category_scores_gemma":[0.0010008389,0.0001001172,0.00006623886,0.0006330859,0.0001573053,0.00026675465,0.00016930907,0.00028984912,2.9585198e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004005365,0.00013626773,0.0019761182,0.00006274822,0.000033828397,3.329386e-7,0.017765254,0.0002553001,0.000046406483,0.9778319,0.000026758453,0.0018250422],"study_design_scores_gemma":[0.0012701057,0.00020025711,0.03830977,0.00037377785,0.000024294017,0.00000256462,0.017330408,0.00045624917,0.00073805614,0.94084406,0.00030098972,0.00014948133],"about_ca_topic_score_codex":0.0011865541,"about_ca_topic_score_gemma":0.000008995367,"teacher_disagreement_score":0.036987845,"about_ca_system_score_codex":0.00043451818,"about_ca_system_score_gemma":0.0007430958,"threshold_uncertainty_score":0.4082661},"labels":[],"label_agreement":null},{"id":"W4409580703","doi":"10.61091/jcmcc127a-073","title":"Research on Dynamic Adjustment Model of Cultivation System of New Engineering Top Innovative Talents in Colleges and Universities Based on Intelligent Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Engineering; Computer science; Engineering management; Industrial engineering","score_opus":0.029838076701885884,"score_gpt":0.326529370992187,"score_spread":0.2966912942903011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8127839,0.00013906579,0.18322422,0.00024588619,0.003102091,0.00023706208,0.0000022678817,0.000014633572,0.00025089798],"genre_scores_gemma":[0.98159593,0.00001713529,0.01831238,0.0000064709834,0.000050452716,0.000001071792,5.167775e-7,0.000005164842,0.000010863108],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985483,0.00008148298,0.0006350163,0.00015064642,0.0004332354,0.00015128986],"domain_scores_gemma":[0.99776804,0.0009361677,0.00043138486,0.00016526587,0.0006547475,0.000044368957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012610594,0.00012835777,0.0003994675,0.0009480219,0.00007528422,0.000026755892,0.00035822223,0.00012224024,2.8587198e-7],"category_scores_gemma":[0.000142551,0.000121899575,0.000037966427,0.000879967,0.00006382234,0.000101291,0.00016692674,0.00038120252,8.933517e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005414274,0.00034074718,0.00006798953,0.0002628356,0.000036163434,0.0000021236349,0.0011677264,0.007935883,0.00020320373,0.98742014,0.000022582622,0.002486471],"study_design_scores_gemma":[0.0020379743,0.0007914978,0.00039658637,0.0019837087,0.00001153391,0.0000034032062,0.0026434462,0.8498553,0.003926694,0.13823885,0.000010430896,0.000100564466],"about_ca_topic_score_codex":0.00001381969,"about_ca_topic_score_gemma":1.8608247e-7,"teacher_disagreement_score":0.8491813,"about_ca_system_score_codex":0.00026604702,"about_ca_system_score_gemma":0.0005600985,"threshold_uncertainty_score":0.49709204},"labels":[],"label_agreement":null},{"id":"W4409580756","doi":"10.61091/jcmcc127a-085","title":"An Interpretation of Computational Methods of Time Consciousness and Symbolic Space in Photographic Art in the Age of Digital Imaging","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Consciousness; Space (punctuation); Computer science; Computer graphics (images); Artificial intelligence; Cognitive science; Computer vision; Psychology; Epistemology; Philosophy; Programming language","score_opus":0.008909341765690587,"score_gpt":0.30475418247700764,"score_spread":0.29584484071131706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91304564,0.00016767296,0.0845663,0.00008453078,0.0013928259,0.00019875201,0.0000015568247,0.000006665255,0.0005360528],"genre_scores_gemma":[0.9900337,0.000009759052,0.009904522,0.000010411427,0.000032262575,0.0000010364627,0.0000012585921,0.000006282348,7.9917e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99794495,0.00021572076,0.0011338555,0.00015568829,0.00039581984,0.00015396526],"domain_scores_gemma":[0.99695194,0.0017082166,0.0007919218,0.0001815023,0.00032037066,0.00004607803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021108226,0.00015444827,0.0006702589,0.00044253533,0.000037082136,0.00015524907,0.0005423368,0.00005659475,3.674535e-7],"category_scores_gemma":[0.00030135887,0.00012512004,0.00008987492,0.0007522136,0.0001924574,0.0004948337,0.0001783008,0.00021737297,9.796339e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101143756,0.0013588329,0.006961626,0.0005468107,0.00007108165,0.000023886323,0.008156944,0.00037763908,0.002113362,0.9696602,0.000015758409,0.010612699],"study_design_scores_gemma":[0.0025273613,0.00051172177,0.0027683382,0.0012043486,0.00003114237,0.00003736422,0.00072500034,0.15911308,0.001061557,0.83187234,0.000012542619,0.00013519161],"about_ca_topic_score_codex":0.00000707732,"about_ca_topic_score_gemma":3.735846e-7,"teacher_disagreement_score":0.15873544,"about_ca_system_score_codex":0.000018453336,"about_ca_system_score_gemma":0.000114520175,"threshold_uncertainty_score":0.5102247},"labels":[],"label_agreement":null},{"id":"W4409580763","doi":"10.61091/jcmcc127a-078","title":"Research on the Environmental Adaptability Test Method of Integrated Circuit Electrical Parameters Based on LK8820 Platform","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Adaptability; Reliability engineering; Test (biology); Computer science; Engineering; Systems engineering; Biology; Ecology","score_opus":0.035394291462342777,"score_gpt":0.28303080672945247,"score_spread":0.2476365152671097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969737,0.00015280241,0.017452732,0.00024917503,0.007930027,0.0007869416,0.0000100092675,0.00007896927,0.003602375],"genre_scores_gemma":[0.9992011,0.000009037601,0.0005258929,0.000015720587,0.00021602331,0.000006341696,8.3634905e-7,0.000021514752,0.0000035120859],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974474,0.0002795438,0.0010497447,0.00017759978,0.00068899884,0.000356747],"domain_scores_gemma":[0.9916948,0.0073566944,0.0003487491,0.0003459248,0.0001764953,0.00007734702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005012487,0.0002503267,0.0007183504,0.00040060404,0.00025416585,0.00007323316,0.00052142947,0.00036536998,0.000007052898],"category_scores_gemma":[0.0014770504,0.00017941654,0.00018013247,0.0006397455,0.00016450135,0.00006172989,0.000067796005,0.0017111431,0.0000016897259],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033023558,0.0010279323,0.00038857633,0.00012659327,0.00023539043,0.000011256843,0.00019572898,0.00331744,0.0024102095,0.9828366,0.00038211883,0.008737922],"study_design_scores_gemma":[0.0072930944,0.003638801,0.0003159585,0.0011645685,0.00015189759,0.000024204966,0.0010472585,0.44384643,0.023675617,0.5176165,0.00083246647,0.0003932063],"about_ca_topic_score_codex":0.000008508733,"about_ca_topic_score_gemma":1.803259e-7,"teacher_disagreement_score":0.46522012,"about_ca_system_score_codex":0.0003187064,"about_ca_system_score_gemma":0.00014547135,"threshold_uncertainty_score":0.7434161},"labels":[],"label_agreement":null},{"id":"W4409580792","doi":"10.61091/jcmcc127a-091","title":"Design and Visual Expression Enhancement Strategy of Virtual Simulation Environment in Digital Media Art Creation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Expression (computer science); Media arts; Computer science; Computer graphics (images); Human–computer interaction; Visual media; Digital media; Multimedia; Engineering drawing; Engineering; Art; World Wide Web; Visual arts","score_opus":0.015821856748511203,"score_gpt":0.2788443865431533,"score_spread":0.2630225297946421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53939265,0.000097793636,0.4580281,0.00002786494,0.0020281784,0.00018274918,3.585566e-7,0.000008924077,0.00023335726],"genre_scores_gemma":[0.9949866,0.00003868075,0.00484139,0.0000051564266,0.00011083593,0.0000015201255,0.0000011969057,0.0000075226844,0.000007114659],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980747,0.00006463539,0.00096288155,0.00019821891,0.0005113518,0.00018822201],"domain_scores_gemma":[0.99784917,0.0011689136,0.0006050965,0.000122005775,0.00015616567,0.000098635224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085669634,0.00018633441,0.00047347476,0.00021286088,0.00007161156,0.0002531951,0.00024933848,0.000096563446,0.000001706385],"category_scores_gemma":[0.00019468532,0.00016534596,0.00005498408,0.00022545458,0.00006847952,0.0006775336,0.00027526464,0.00018496778,0.0000010551208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034409112,0.0028516776,0.00035132671,0.0002847712,0.00010834772,0.000028612156,0.0034071193,0.007897952,0.0071443557,0.86805695,0.00006147729,0.10946329],"study_design_scores_gemma":[0.0053935186,0.0022015278,0.00043347004,0.0014655251,0.00003821925,0.000010366193,0.00035490186,0.38787296,0.01611546,0.5856818,0.00011833772,0.00031388344],"about_ca_topic_score_codex":7.05333e-7,"about_ca_topic_score_gemma":2.2212443e-8,"teacher_disagreement_score":0.4555939,"about_ca_system_score_codex":0.000062284314,"about_ca_system_score_gemma":0.00009583637,"threshold_uncertainty_score":0.6742613},"labels":[],"label_agreement":null},{"id":"W4409580794","doi":"10.61091/jcmcc127a-089","title":"Research on Multidimensional Filtering Algorithm and Intelligent Structural Parameter Extraction Method for Cable Point Cloud Image","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Point cloud; Cloud computing; Computer science; Image (mathematics); Algorithm; Point (geometry); Extraction (chemistry); Data mining; Artificial intelligence; Computer vision; Mathematics; Geometry","score_opus":0.02249206128575948,"score_gpt":0.3376923449623758,"score_spread":0.31520028367661634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580794","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4563413,0.00035077965,0.5243994,0.000152966,0.017798346,0.00053817086,0.000006343132,0.00007603629,0.00033666956],"genre_scores_gemma":[0.80471385,0.000023194263,0.19448085,0.000008613184,0.0007282726,0.0000063602665,8.6388684e-7,0.000029156508,0.00000882511],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982568,0.00009295832,0.00077835174,0.00019030091,0.0003367121,0.00034485655],"domain_scores_gemma":[0.996861,0.002274402,0.00018495327,0.00015762656,0.00040966712,0.00011238139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020395739,0.00021275852,0.00056205306,0.0003111002,0.00025335624,0.00015610075,0.00016016935,0.00020673829,0.0000051072693],"category_scores_gemma":[0.00040820029,0.00018273742,0.000103649305,0.00022114247,0.00007111043,0.0001192626,0.00013278442,0.0006851136,6.94276e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014799254,0.00019875662,0.000010017223,0.0007584934,0.00026466176,0.000020589272,0.0003988817,0.0015611838,0.0070104296,0.9508862,0.00091617636,0.037826627],"study_design_scores_gemma":[0.0022382974,0.00071379426,0.000030066343,0.000541468,0.000052831092,0.00007942302,0.0005103153,0.55257237,0.012643683,0.42909783,0.0013103173,0.00020959105],"about_ca_topic_score_codex":0.000012862707,"about_ca_topic_score_gemma":2.5521524e-7,"teacher_disagreement_score":0.5510112,"about_ca_system_score_codex":0.00013101046,"about_ca_system_score_gemma":0.00003506488,"threshold_uncertainty_score":0.74518156},"labels":[],"label_agreement":null},{"id":"W4409580796","doi":"10.61091/jcmcc127a-084","title":"Optimization of Digital Media Content Generation and Communication Effect Combined with Deep Learning Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Deep learning; Multimedia; Artificial intelligence","score_opus":0.015790030814261287,"score_gpt":0.2611469662543939,"score_spread":0.2453569354401326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7244827,0.00086568797,0.27115464,0.0008160963,0.0021729707,0.00022654909,4.393046e-7,0.000054796223,0.00022609481],"genre_scores_gemma":[0.970381,0.000091711445,0.029412936,0.000008932478,0.00008614828,0.000002716748,0.0000034545128,0.000008941944,0.000004115339],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985875,0.00011290372,0.0006990905,0.00017218376,0.00027339155,0.00015493187],"domain_scores_gemma":[0.99710983,0.0010072858,0.000870197,0.00025866754,0.00069888606,0.000055153378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091544836,0.00017776105,0.0005180881,0.00042581555,0.00024666105,0.00016405822,0.00048031897,0.00019243787,8.661776e-7],"category_scores_gemma":[0.0007679267,0.00014796422,0.000047825553,0.0005410761,0.00019236337,0.000358649,0.00028555337,0.0004266968,1.8538232e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007081364,0.00021427311,0.002899137,0.00008157895,0.00009707198,0.000002250242,0.00068170263,0.0007309529,0.00033740886,0.9884089,0.000011410606,0.0064644963],"study_design_scores_gemma":[0.010125404,0.0044446075,0.00086088513,0.00091997243,0.00020962658,0.00019723864,0.00097338133,0.25196397,0.0065618376,0.7231711,0.000116332216,0.00045558903],"about_ca_topic_score_codex":0.0000022686352,"about_ca_topic_score_gemma":4.3566058e-7,"teacher_disagreement_score":0.26523775,"about_ca_system_score_codex":0.000041711195,"about_ca_system_score_gemma":0.00011505713,"threshold_uncertainty_score":0.6033806},"labels":[],"label_agreement":null},{"id":"W4409580890","doi":"10.61091/jcmcc127a-088","title":"Deep Learning Training Model Construction and Optimization of Cable Size Features in 3D Point Cloud Data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Point cloud; Deep learning; Training (meteorology); Cloud computing; Computer science; Artificial intelligence; Point (geometry); Machine learning; Training set; Meteorology; Geography; Mathematics; Geometry","score_opus":0.017445433787455427,"score_gpt":0.24965900609666913,"score_spread":0.23221357230921372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8040955,0.00046506326,0.18114182,0.0013019278,0.008307145,0.00040926118,0.0000016574016,0.00008191036,0.0041956804],"genre_scores_gemma":[0.96241057,0.00003854302,0.037006073,0.000055752756,0.0004633256,8.8544203e-7,0.0000050219746,0.000015265006,0.0000045783245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850273,0.000023088098,0.000877037,0.00018027495,0.00022751593,0.00018932292],"domain_scores_gemma":[0.9979906,0.0003903079,0.00099383,0.00019861959,0.00041318065,0.000013438533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013838438,0.00016976077,0.00052961457,0.00045057485,0.00022397918,0.00017301975,0.00031981125,0.00016791839,0.00000391081],"category_scores_gemma":[0.0013704554,0.0001666639,0.000039420374,0.0006557315,0.00014236533,0.00062073977,0.00042500117,0.0005225995,1.5225865e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053356966,0.00016776481,0.0017207611,0.00030646747,0.00006604047,0.000003777278,0.0003818784,0.02760114,0.00012987306,0.9652593,0.00011759311,0.0041920193],"study_design_scores_gemma":[0.0025365632,0.00004473483,0.00012156203,0.00045439272,0.00010299129,0.000016912007,0.0019550365,0.5956199,0.000030788065,0.3988636,0.000114339804,0.00013912606],"about_ca_topic_score_codex":0.00004824992,"about_ca_topic_score_gemma":0.0000034719667,"teacher_disagreement_score":0.5680188,"about_ca_system_score_codex":0.000030132118,"about_ca_system_score_gemma":0.000074170835,"threshold_uncertainty_score":0.6796357},"labels":[],"label_agreement":null},{"id":"W4409580891","doi":"10.61091/jcmcc127a-072","title":"Multiple Regression Analysis and Weighting Model Construction of National Narrative and National Identity in Modern Chinese Literature","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Weighting; Identity (music); Narrative; Regression analysis; National identity; Regression; Psychology; Statistics; Sociology; History; Political science; Literature; Art; Psychoanalysis; Mathematics; Aesthetics; Medicine; Law; Politics","score_opus":0.00807628537691142,"score_gpt":0.284890083332155,"score_spread":0.2768137979552436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930422,0.0001379129,0.005069842,0.00013924306,0.00077605713,0.00009772863,0.0000042455517,0.0000036693298,0.0007291014],"genre_scores_gemma":[0.9889458,0.000039869403,0.0108864,0.00001673814,0.00009395159,0.0000013656828,0.000003688744,0.0000047608382,0.000007470408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99841225,0.000041356754,0.0007021047,0.0001548001,0.00058537343,0.00010412937],"domain_scores_gemma":[0.9985126,0.0003557859,0.00062099507,0.000055930235,0.00040463466,0.000050021496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011260659,0.00013561046,0.0003660776,0.00037018195,0.00019976482,0.00009306942,0.00010679522,0.0000965858,0.0000041859507],"category_scores_gemma":[0.00076941407,0.0001054225,0.00006122793,0.0011260551,0.00013174149,0.00054872566,0.00016047795,0.00025118655,6.4422274e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007832134,0.0004579617,0.11022806,0.00013487163,0.00019271957,0.000001221149,0.009633315,0.0028914914,0.0032366214,0.8717079,0.000045593282,0.0013918786],"study_design_scores_gemma":[0.0011309374,0.000040023522,0.017053686,0.00019437335,0.00003295426,0.000009667757,0.0004500095,0.19438481,0.00012267017,0.7864949,0.0000043864984,0.00008156576],"about_ca_topic_score_codex":0.000015033499,"about_ca_topic_score_gemma":0.000008154956,"teacher_disagreement_score":0.19149333,"about_ca_system_score_codex":0.00013050377,"about_ca_system_score_gemma":0.00009463448,"threshold_uncertainty_score":0.4299005},"labels":[],"label_agreement":null},{"id":"W4409580893","doi":"10.61091/jcmcc127a-076","title":"Application of Artificial Intelligence Technology and Image-based Interaction Design in Architectural Space Design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Space (punctuation); Computer science; Image (mathematics); Architectural design; Artificial intelligence; Engineering drawing; Systems engineering; Human–computer interaction; Architectural engineering; Engineering; Architecture; Operating system; Visual arts; Art","score_opus":0.023309603587990016,"score_gpt":0.291877938297785,"score_spread":0.268568334709795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580893","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28064016,0.00010146857,0.715831,0.0010772884,0.0018391584,0.00033601938,1.2551516e-7,0.0000115768935,0.00016324995],"genre_scores_gemma":[0.95196295,0.00003384831,0.047860082,0.0000076668875,0.0001237619,0.0000033209292,1.879872e-7,0.0000061777423,0.0000020129153],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985157,0.00018899264,0.0006757485,0.00013234699,0.00031426697,0.0001729028],"domain_scores_gemma":[0.99820995,0.0009581821,0.0005393274,0.000082511695,0.00015727665,0.0000527273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020355876,0.000123263,0.00035042307,0.00050066767,0.00017243519,0.00006756865,0.0001989365,0.00012259191,0.0000015979833],"category_scores_gemma":[0.0005127063,0.00011709375,0.000043866203,0.0005473063,0.0002533921,0.00010591131,0.00007000955,0.00025533178,4.2171393e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019390427,0.0002757149,0.00042728428,0.00007022657,0.000027069955,0.0000036338424,0.0020180647,0.0020234364,0.0015444163,0.96895903,0.000013565496,0.024443626],"study_design_scores_gemma":[0.00058407825,0.00022843246,0.000216817,0.00030017638,0.000027696893,0.000004688247,0.0015861584,0.037254132,0.0051489873,0.9543904,0.0001379823,0.000120462784],"about_ca_topic_score_codex":0.000028800123,"about_ca_topic_score_gemma":0.0000017532301,"teacher_disagreement_score":0.67132276,"about_ca_system_score_codex":0.00012243245,"about_ca_system_score_gemma":0.00018634305,"threshold_uncertainty_score":0.47749445},"labels":[],"label_agreement":null},{"id":"W4409580896","doi":"10.61091/jcmcc127a-096","title":"Optimization of Image Recognition Technology for Dance Theatre Creation and Evaluation of Its Effectiveness","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dance; Computer science; Image (mathematics); Artificial intelligence; Computer vision; Visual arts; Art","score_opus":0.01973932420998825,"score_gpt":0.31354999694001423,"score_spread":0.293810672730026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.668612,0.00042510658,0.32645985,0.00008360993,0.0034133082,0.00053109584,0.0000022112993,0.000015584394,0.00045722583],"genre_scores_gemma":[0.9760155,0.0000413492,0.023843318,0.0000021786768,0.00008228901,0.000006574302,0.0000013758757,0.000006806896,6.1479506e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985537,0.00010994752,0.0006904695,0.00015015775,0.00037851647,0.00011722112],"domain_scores_gemma":[0.9962441,0.00079098117,0.00084695464,0.00013168853,0.0019478466,0.00003844476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023030145,0.00012588268,0.00045532393,0.00026123918,0.00008370555,0.000074049465,0.00023662412,0.00010602581,4.991019e-7],"category_scores_gemma":[0.0006984548,0.000114703485,0.00006692139,0.0004407177,0.000069645386,0.00040208705,0.00013068659,0.00010268266,8.013057e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014364885,0.000591354,0.00017440021,0.0015286289,0.00012872524,7.7673695e-7,0.0004630898,0.000538606,0.0062506185,0.9177788,0.000010040414,0.0723913],"study_design_scores_gemma":[0.0043207924,0.0008879751,0.00014619456,0.0017070394,0.00015308725,0.000010319774,0.0001274112,0.21138984,0.04343847,0.73769534,0.0000124315475,0.000111134075],"about_ca_topic_score_codex":7.796655e-7,"about_ca_topic_score_gemma":3.57245e-8,"teacher_disagreement_score":0.30740348,"about_ca_system_score_codex":0.000042753545,"about_ca_system_score_gemma":0.00014572706,"threshold_uncertainty_score":0.46774724},"labels":[],"label_agreement":null},{"id":"W4409580897","doi":"10.61091/jcmcc127a-095","title":"Optimization research on the spatial layout of dance drama performance based on fractal geometry","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dance; Fractal; Drama; Geometry; Computer science; Computer graphics (images); Mathematics; Art; Mathematical analysis; Visual arts","score_opus":0.02893358138129393,"score_gpt":0.31349768761461155,"score_spread":0.2845641062333176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8672014,0.000056947978,0.11318057,0.0007885309,0.01275159,0.0003525975,0.0000014091459,0.00003125442,0.00563571],"genre_scores_gemma":[0.9958942,0.00001013118,0.003589649,0.0000711062,0.00040881571,0.0000024197095,5.929915e-7,0.000012829205,0.000010274043],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99709576,0.00020348653,0.0008583191,0.00023390693,0.0012827846,0.00032571438],"domain_scores_gemma":[0.9950599,0.0028624737,0.0006540176,0.00043924016,0.0008773138,0.00010706239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003135355,0.0002112636,0.00048709396,0.00039887894,0.0003589245,0.00040321445,0.0010914322,0.00012095649,0.0000032268824],"category_scores_gemma":[0.00079998915,0.00015009799,0.00012652429,0.0010281522,0.00015576703,0.00028288204,0.00033000798,0.0006990385,0.0000028288548],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015161998,0.00096011895,0.00021753545,0.00021555516,0.000047124304,0.000007915747,0.00033068095,0.0066332086,0.00005822187,0.98559713,0.00018571793,0.00559518],"study_design_scores_gemma":[0.0028382346,0.0030940599,0.00031710198,0.0023812999,0.000024473597,0.0000075050443,0.00016559432,0.8529653,0.003941707,0.133696,0.00034957158,0.00021915913],"about_ca_topic_score_codex":0.0000047616913,"about_ca_topic_score_gemma":4.817111e-8,"teacher_disagreement_score":0.8519011,"about_ca_system_score_codex":0.00008963328,"about_ca_system_score_gemma":0.00029327962,"threshold_uncertainty_score":0.61208177},"labels":[],"label_agreement":null},{"id":"W4409580902","doi":"10.61091/jcmcc127a-087","title":"Research on Teaching Resource Allocation Model Based on Optimization Algorithm in Higher Vocational Education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Resource allocation; Computer science; Resource (disambiguation); Mathematics education; Operations research; Psychology; Engineering; Pedagogy; Computer network","score_opus":0.09620473649479873,"score_gpt":0.4120094258202682,"score_spread":0.3158046893254695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409580902","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15153301,0.000279396,0.73205805,0.010936686,0.030326195,0.0010290554,0.000005836994,0.00008531302,0.07374648],"genre_scores_gemma":[0.9492293,0.0000032429457,0.04966854,0.00016616525,0.0007311588,0.0000055982227,0.0000031929067,0.000017427716,0.00017535914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950542,0.0007278442,0.0014161408,0.00036327366,0.0021205612,0.00031798455],"domain_scores_gemma":[0.9916936,0.0054614507,0.0007415513,0.00041842522,0.0015556298,0.0001293141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015932797,0.00020149855,0.00048619384,0.0018576122,0.00060334196,0.00052016723,0.00064167223,0.0001972258,0.000011592922],"category_scores_gemma":[0.005628791,0.00017283716,0.00012293253,0.0014411833,0.00008766993,0.00021122258,0.000113332564,0.0010966657,0.000006337376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008132666,0.0011765976,0.00003501525,0.000015371119,0.000013517585,9.967738e-7,0.00023010939,0.28298697,0.000011215551,0.6926049,0.0011476452,0.021696331],"study_design_scores_gemma":[0.0012907102,0.00020298289,0.00016617673,0.00042108019,0.000014233748,0.0000015586114,0.0003419007,0.60345966,0.00003343799,0.39349148,0.00048206415,0.00009472609],"about_ca_topic_score_codex":0.000009606487,"about_ca_topic_score_gemma":2.2980822e-7,"teacher_disagreement_score":0.7976963,"about_ca_system_score_codex":0.00031459925,"about_ca_system_score_gemma":0.0010016591,"threshold_uncertainty_score":0.7048095},"labels":[],"label_agreement":null},{"id":"W4409582630","doi":"10.61091/jcmcc127a-002","title":"A Multi-Objective Optimisation Algorithm Based Design Method for Integrating Direct-Flex Photovoltaic Systems with Buildings","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"FLEX; Photovoltaic system; Computer science; Algorithm; Engineering; Electrical engineering; Telecommunications","score_opus":0.01909425538189632,"score_gpt":0.28482924211498395,"score_spread":0.26573498673308765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409582630","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002272497,0.0002265456,0.9880529,0.00006728458,0.008167124,0.0009779219,0.0000029270852,0.000086235996,0.00014656277],"genre_scores_gemma":[0.17758688,0.0000061730866,0.8219575,0.00006271148,0.00032469444,0.000022743357,0.0000012779865,0.00002675553,0.000011204328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972804,0.00033006715,0.0010863914,0.00037824304,0.0005604637,0.0003644414],"domain_scores_gemma":[0.99350524,0.0032251044,0.0013525203,0.0003216485,0.0014288452,0.00016666565],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037409598,0.00036374264,0.0008636143,0.00045315365,0.00047398717,0.00078077754,0.00069087703,0.00019261416,6.8464215e-7],"category_scores_gemma":[0.00093452126,0.00030242346,0.00018358597,0.0008114532,0.000050251707,0.00041022812,0.00013316389,0.00043672763,3.2478945e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052962714,0.001852825,0.00015552633,0.00094914436,0.000852125,0.000035024594,0.0061490997,0.017472256,0.011109356,0.9332413,0.0009090847,0.026744615],"study_design_scores_gemma":[0.0062192725,0.000908439,0.000015042767,0.00064526236,0.000114886396,0.00003704599,0.00035504208,0.9368915,0.0073034763,0.046594102,0.00060885533,0.00030706654],"about_ca_topic_score_codex":0.00004400179,"about_ca_topic_score_gemma":4.6472204e-7,"teacher_disagreement_score":0.9194192,"about_ca_system_score_codex":0.0002343642,"about_ca_system_score_gemma":0.0005831668,"threshold_uncertainty_score":0.9999428},"labels":[],"label_agreement":null},{"id":"W4409582686","doi":"10.61091/jcmcc127a-016","title":"Exploration on Cooperative Management of Preschool Education Based on Wireless Network under the Background of Information Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wireless; Wireless network; Information technology; Knowledge management; Computer science; Telecommunications","score_opus":0.011600905686996309,"score_gpt":0.2634455849649536,"score_spread":0.25184467927795734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409582686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97180104,0.000020947433,0.014249772,0.00095672143,0.004576855,0.00040229879,0.0000011229336,0.000007490887,0.007983738],"genre_scores_gemma":[0.9973763,0.000014145338,0.0023670688,0.000099320794,0.00011385174,0.0000073360907,0.0000027567519,0.000005302514,0.00001389571],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985701,0.00004549025,0.0007719178,0.00008156049,0.00041922554,0.00011170172],"domain_scores_gemma":[0.9983695,0.000264771,0.00087968376,0.00018269848,0.0002755968,0.000027732956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078420376,0.00012051391,0.00024388866,0.00015092704,0.00019122839,0.000048269096,0.00024498274,0.00007803109,0.000011715157],"category_scores_gemma":[0.000047947447,0.000083925064,0.00005094077,0.0007560113,0.000111431495,0.00028273344,0.00009021115,0.00021514622,0.000002082105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005952006,0.0005513729,0.00017336011,0.0000751245,0.000040380903,8.743887e-8,0.0001323504,0.010823366,0.00006466398,0.9846375,0.00057851104,0.0028637664],"study_design_scores_gemma":[0.0018830406,0.00088879716,0.0029595222,0.0011412655,0.00007733116,0.0000019355668,0.004740559,0.011194676,0.0017354323,0.9743393,0.00089305086,0.00014508559],"about_ca_topic_score_codex":0.0000071757004,"about_ca_topic_score_gemma":3.037992e-7,"teacher_disagreement_score":0.025575267,"about_ca_system_score_codex":0.00013367673,"about_ca_system_score_gemma":0.00012948623,"threshold_uncertainty_score":0.3422365},"labels":[],"label_agreement":null},{"id":"W4409582713","doi":"10.61091/jcmcc127a-015","title":"Optimisation of Rendering Performance of Adobe After Effects Film Effects Based on GPU Acceleration and Task Scheduling Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Rendering (computer graphics); Scheduling (production processes); Computer graphics (images); Algorithm; Parallel computing; Mathematical optimization; Mathematics","score_opus":0.0043904794702224244,"score_gpt":0.22707400931726568,"score_spread":0.22268352984704326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409582713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81357205,0.0003164002,0.18397714,0.000009928146,0.0017839257,0.00020036743,7.022131e-7,0.00003918811,0.0001002993],"genre_scores_gemma":[0.9412997,0.000065815984,0.058455195,0.00000781526,0.00014464372,0.0000043549326,8.549298e-7,0.000020891006,7.216315e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984598,0.000056549394,0.0008296103,0.00013381446,0.0003539466,0.00016628178],"domain_scores_gemma":[0.99824584,0.00078136317,0.0004958393,0.00015664911,0.0002552564,0.000065070766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005440416,0.00022132788,0.0006990467,0.00030253138,0.0000732307,0.000044013475,0.00013919134,0.0001270419,8.705185e-7],"category_scores_gemma":[0.00026535412,0.00020602297,0.00010722948,0.0003423075,0.000052395524,0.00017324892,0.00006767962,0.00031223768,9.286233e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015773966,0.003146618,0.003392694,0.037548166,0.0017644617,0.00006455562,0.003981021,0.33503553,0.14557421,0.13950118,0.00011726792,0.3282969],"study_design_scores_gemma":[0.002232514,0.00086244213,0.00041126032,0.0024889512,0.000158276,0.0000037857944,0.000033577464,0.8518482,0.11319013,0.028558323,0.000014330542,0.0001982303],"about_ca_topic_score_codex":0.0000013907572,"about_ca_topic_score_gemma":3.477654e-8,"teacher_disagreement_score":0.5168126,"about_ca_system_score_codex":0.00006913869,"about_ca_system_score_gemma":0.00003256825,"threshold_uncertainty_score":0.8401373},"labels":[],"label_agreement":null},{"id":"W4409582722","doi":"10.61091/jcmcc127a-019","title":"Research on the Innovation of Computer Basic Education Curriculum in Fine Arts Colleges and Universities Based on Network Education Model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Curriculum; The arts; Mathematics education; Sociology; Arts in education; Pedagogy; Political science; Engineering management; Engineering; Psychology","score_opus":0.037746841550515844,"score_gpt":0.3709119574553199,"score_spread":0.3331651159048041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409582722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974321,0.0000701097,0.0017086366,0.0036200471,0.0075186393,0.00050069526,9.3216187e-7,0.000012051519,0.012247868],"genre_scores_gemma":[0.9947077,0.000013802502,0.0039991364,0.0001263335,0.0010955621,0.0000060212396,0.0000015496755,0.0000082089955,0.000041701107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99798006,0.00038998717,0.0006429443,0.00014327442,0.00064549746,0.00019821378],"domain_scores_gemma":[0.99512905,0.001900707,0.00058529805,0.00013990876,0.0022085917,0.000036434692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005307271,0.00012761494,0.00030158425,0.0007909985,0.0005222196,0.00011309779,0.0002670263,0.00011757542,0.0000032919238],"category_scores_gemma":[0.00058895844,0.000107627755,0.000036698948,0.0019349634,0.0002484796,0.00013443652,0.00007735239,0.0004858821,2.0146067e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045350065,0.0008479057,0.00038541315,0.00006837569,0.000012294015,2.524094e-7,0.0015173424,0.00051483465,0.000015148712,0.98930335,0.0058450373,0.0014446691],"study_design_scores_gemma":[0.00072270265,0.00045023896,0.0006029354,0.0018467394,0.00001532157,7.304254e-7,0.008387267,0.014251342,0.00018675152,0.97209895,0.0013156476,0.00012135834],"about_ca_topic_score_codex":0.00008263749,"about_ca_topic_score_gemma":0.0000047269223,"teacher_disagreement_score":0.020386664,"about_ca_system_score_codex":0.00035124295,"about_ca_system_score_gemma":0.003414349,"threshold_uncertainty_score":0.60569084},"labels":[],"label_agreement":null},{"id":"W4409583338","doi":"10.61091/jcmcc127a-012","title":"Research on the Calculation Method of Thermal Bending Deformation of Aero-Engine Rotor System Based on Thermal Gradient Data Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Radiative Heat Transfer Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rotor (electric); Bending; Thermal; Materials science; Deformation (meteorology); Temperature gradient; Structural engineering; Helicopter rotor; Mechanics; Mechanical engineering; Engineering; Composite material; Physics; Thermodynamics; Meteorology","score_opus":0.043572112840680695,"score_gpt":0.3258737991130563,"score_spread":0.2823016862723756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89650446,0.00018736906,0.09666413,0.0001034051,0.0041539394,0.00056053273,0.00001565066,0.000035088695,0.0017754361],"genre_scores_gemma":[0.9971231,0.000009365527,0.0025960242,0.0000035319083,0.0002386149,0.000004291789,0.0000040290824,0.000020346748,6.5160697e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971623,0.00033704034,0.0011886938,0.00016297621,0.00089783245,0.00025120287],"domain_scores_gemma":[0.99594754,0.002579765,0.0003747994,0.0004930339,0.0005466897,0.000058147678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055331388,0.00022172154,0.0008082707,0.00077749405,0.00024325434,0.00006230973,0.00055410713,0.00010974517,0.000002017412],"category_scores_gemma":[0.0002580787,0.00015760762,0.00018817306,0.0012545872,0.0000733597,0.00012925819,0.000112258895,0.0005304144,3.1751927e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021883799,0.0003963319,0.0006324604,0.0013260624,0.0016579207,0.000004320557,0.0015533438,0.24318802,0.0020547742,0.7470555,0.00007207391,0.0018403833],"study_design_scores_gemma":[0.0018346804,0.00045621442,0.0025359606,0.0010302156,0.00050039485,0.0000018926393,0.00091199373,0.98170877,0.0061185374,0.0047376654,0.00002014079,0.00014351019],"about_ca_topic_score_codex":0.000012925997,"about_ca_topic_score_gemma":5.1510244e-7,"teacher_disagreement_score":0.7423178,"about_ca_system_score_codex":0.00019116435,"about_ca_system_score_gemma":0.00006727709,"threshold_uncertainty_score":0.64270526},"labels":[],"label_agreement":null},{"id":"W4409583340","doi":"10.61091/jcmcc127a-007","title":"Optimising Learning Analytics and Teaching Decisions in Digital Transformation Practices in English Language Education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Innovations and Challenges","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Learning analytics; Analytics; Computer science; Transformation (genetics); English language; Digital transformation; Mathematics education; Data science; Psychology; World Wide Web","score_opus":0.02065148659379403,"score_gpt":0.32303121430534837,"score_spread":0.30237972771155436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96986854,0.0004677921,0.022895182,0.0007019499,0.0033827024,0.00012578661,2.4649495e-7,0.00001955674,0.0025382196],"genre_scores_gemma":[0.9872496,0.00009246066,0.0123876,0.00001983101,0.00023470771,0.0000015132351,0.0000013275579,0.0000066982475,0.0000062279137],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99840707,0.0000775312,0.00086404616,0.0001655525,0.0003158657,0.00016992693],"domain_scores_gemma":[0.9972605,0.0013123218,0.0008136886,0.00013124936,0.00042354487,0.000058705453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00198507,0.00014135438,0.00032794123,0.00072969316,0.00017709355,0.0006746069,0.00031619042,0.000095163894,3.646145e-7],"category_scores_gemma":[0.0021614179,0.00013788477,0.000041316813,0.00051938905,0.000027795491,0.001240687,0.00013445641,0.0006523221,1.4801006e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009636358,0.00047267714,0.0008466729,0.000057891764,0.00001600033,0.0000027278943,0.012876352,0.0002476135,0.000050655843,0.954986,0.000012629055,0.030421164],"study_design_scores_gemma":[0.0036352018,0.00033886114,0.0026839087,0.0023208573,0.000041744242,0.00005761115,0.0576515,0.10671487,0.00015707203,0.8253671,0.0006280867,0.0004031819],"about_ca_topic_score_codex":0.000012944149,"about_ca_topic_score_gemma":0.0000018261062,"teacher_disagreement_score":0.12961887,"about_ca_system_score_codex":0.00010684579,"about_ca_system_score_gemma":0.00033052196,"threshold_uncertainty_score":0.650525},"labels":[],"label_agreement":null},{"id":"W4409583352","doi":"10.61091/jcmcc127a-011","title":"Research on fan speed optimization control system based on advanced algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Electronic speed control; Algorithm; Engineering; Electrical engineering","score_opus":0.011947165152047065,"score_gpt":0.2775920505001484,"score_spread":0.2656448853481013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583352","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.106990665,0.00045566374,0.7810713,0.00031766194,0.05802376,0.002184609,0.000012111744,0.0005098032,0.050434407],"genre_scores_gemma":[0.996401,0.000006898269,0.0026435475,0.00002403561,0.00086484785,0.0000037658933,0.0000017379966,0.000042578184,0.000011554997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997085,0.0002736516,0.0011340363,0.00020394845,0.00093322527,0.0003701787],"domain_scores_gemma":[0.99678123,0.0016073564,0.0003775451,0.00029504986,0.00077598955,0.00016282951],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024943529,0.0002900402,0.0007980037,0.00063861103,0.00029605057,0.00031531198,0.0003170787,0.00020435006,0.0000053663575],"category_scores_gemma":[0.00024706742,0.00026077384,0.00016417557,0.0005881436,0.00004571928,0.00013410478,0.000034268498,0.0006588141,0.000004395899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020213434,0.00023186504,0.000010001708,0.00032365066,0.000114235976,0.00001541568,0.000089985624,0.7303419,0.00016966418,0.26396957,0.0002125938,0.004318984],"study_design_scores_gemma":[0.00996029,0.00067600986,0.000020866019,0.0014150983,0.00004960297,0.000006835462,0.00040333014,0.97714823,0.0002880972,0.009514243,0.00031532522,0.0002020542],"about_ca_topic_score_codex":0.0000035416256,"about_ca_topic_score_gemma":5.936736e-8,"teacher_disagreement_score":0.8894104,"about_ca_system_score_codex":0.00033396756,"about_ca_system_score_gemma":0.00010811582,"threshold_uncertainty_score":0.99998444},"labels":[],"label_agreement":null},{"id":"W4409583354","doi":"10.61091/jcmcc127a-004","title":"Potential Ways for Smart Contract Technology to Improve the Efficiency of Economic Transactions in the Context of Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Transformation in Law","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Computer science; Artificial intelligence; History","score_opus":0.018061774100019627,"score_gpt":0.25462507363461273,"score_spread":0.2365632995345931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583354","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4644327,0.0002962515,0.51996195,0.0014510809,0.01122238,0.0010047453,0.00005020878,0.000008994305,0.0015716938],"genre_scores_gemma":[0.998857,0.00001749965,0.0009539781,0.000032886535,0.000117392,0.000009532389,4.542339e-7,0.000009162322,0.0000020628147],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976058,0.000022249764,0.0019392022,0.00013838652,0.00009141116,0.00020292218],"domain_scores_gemma":[0.9977023,0.00080767827,0.0010455933,0.00021043408,0.0002008497,0.000033125863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022148418,0.00014102327,0.00063855806,0.00038478407,0.00012936168,0.000091710055,0.00056668546,0.00011394079,0.00000560576],"category_scores_gemma":[0.00031577476,0.00011088304,0.00019639095,0.0003871072,0.0001607642,0.00014642258,0.000033444874,0.00024941433,0.0000014691132],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009272734,0.00034486674,0.0000347263,0.000121404184,0.000056654488,4.1337205e-7,0.0012766192,0.00031713673,0.00013847403,0.99354225,0.0000113079805,0.004063426],"study_design_scores_gemma":[0.0010961219,0.00059444027,0.000022388944,0.00013050533,0.00003246236,0.0000071259733,0.0016392411,0.013319226,0.0046800403,0.97799337,0.00037690578,0.000108166045],"about_ca_topic_score_codex":0.000024252284,"about_ca_topic_score_gemma":0.0000031961067,"teacher_disagreement_score":0.53442436,"about_ca_system_score_codex":0.00006422754,"about_ca_system_score_gemma":0.000093877985,"threshold_uncertainty_score":0.4521679},"labels":[],"label_agreement":null},{"id":"W4409583366","doi":"10.61091/jcmcc127a-005","title":"Economic Forecast Based on Statistical Economic and Population Development Targets Based on Mobile Communication Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Economic and Technological Systems Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Population; Computer science; Demography; Sociology","score_opus":0.008605374600967282,"score_gpt":0.2279123052740719,"score_spread":0.21930693067310464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864487,0.00009007453,0.0070785577,0.00052858965,0.0028993064,0.0003916022,0.0000024600345,0.00007149277,0.0024892304],"genre_scores_gemma":[0.9966087,0.000004654992,0.0029401933,0.00009956822,0.00030811757,0.000008834888,0.000009410601,0.000016987477,0.0000035776463],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984092,0.000026281685,0.00097517314,0.0002346029,0.00014703439,0.00020768163],"domain_scores_gemma":[0.9981832,0.0004704847,0.0009624266,0.00024993066,0.00010586373,0.000028118699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010542736,0.00023400057,0.00063347566,0.0006668744,0.00035054045,0.00028110106,0.00029392302,0.00019699187,0.000020221403],"category_scores_gemma":[0.00017525494,0.00020950846,0.00007994568,0.0001591043,0.00007692489,0.00016893094,0.00016489952,0.00030141132,0.000009672661],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085977925,0.00024807898,0.0076005473,0.00014497548,0.000058714824,0.0000025497961,0.000013052891,0.0029939243,0.000006068988,0.9816617,0.0001772406,0.007007179],"study_design_scores_gemma":[0.0036821335,0.0002542263,0.0020392104,0.0005160851,0.00011286534,0.000002398566,0.00014138332,0.5061727,0.00006972476,0.4822777,0.0044153775,0.00031620823],"about_ca_topic_score_codex":0.000046956015,"about_ca_topic_score_gemma":0.0000060808147,"teacher_disagreement_score":0.5031788,"about_ca_system_score_codex":0.0002555205,"about_ca_system_score_gemma":0.00008134439,"threshold_uncertainty_score":0.8543507},"labels":[],"label_agreement":null},{"id":"W4409583371","doi":"10.61091/jcmcc127a-006","title":"Research on Data-Driven Demand Forecasting and Service Optimisation Model for Electricity Users’ Behaviours","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electricity demand; Electricity; Demand forecasting; Service (business); Service model; Computer science; Environmental economics; Operations research; Business; Economics; Electricity generation; Marketing; Engineering; Power (physics); Electrical engineering","score_opus":0.07095789180371882,"score_gpt":0.31576306585009917,"score_spread":0.24480517404638036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9365565,0.00030051486,0.057267655,0.0001228835,0.0045868778,0.00033152,0.000010745686,0.00005725023,0.0007660153],"genre_scores_gemma":[0.9877063,0.000045588247,0.011643088,0.000026480428,0.00052430294,0.0000032342352,0.0000078417725,0.000037399484,0.00000577626],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813616,0.00006829314,0.0007528473,0.00022899896,0.0004260688,0.00038761128],"domain_scores_gemma":[0.99729645,0.0014718499,0.0002673901,0.00026025777,0.00057629746,0.00012775858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024927836,0.00023323993,0.00050522154,0.00035877142,0.0004144411,0.00024209294,0.00042561654,0.00017872962,5.3157873e-7],"category_scores_gemma":[0.00039320748,0.00022522443,0.000059676495,0.0004418282,0.000043110525,0.00023960849,0.00023270446,0.0006055032,1.5333258e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025642788,0.00040611668,0.00024173416,0.0012501413,0.00031920173,0.000011553915,0.0025365516,0.25710076,0.0007877871,0.7283281,0.001491561,0.0072700824],"study_design_scores_gemma":[0.0020393955,0.000242001,0.000018464985,0.0005765272,0.000088012814,0.000016670214,0.00017382484,0.86902606,0.00044187641,0.1271243,0.00008336826,0.00016949729],"about_ca_topic_score_codex":0.000007564634,"about_ca_topic_score_gemma":0.0000025414863,"teacher_disagreement_score":0.6119253,"about_ca_system_score_codex":0.00010203356,"about_ca_system_score_gemma":0.000107510605,"threshold_uncertainty_score":0.91843855},"labels":[],"label_agreement":null},{"id":"W4409583381","doi":"10.61091/jcmcc127a-014","title":"Evaluation of Sustainable Agricultural Development and Policy Optimisation Based on Multilevel Factor Analysis Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainable development; Factor (programming language); Agriculture; Computer science; Environmental economics; Operations research; Engineering; Political science; Economics; Geography","score_opus":0.030216550622981446,"score_gpt":0.29847465421548997,"score_spread":0.2682581035925085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98530495,0.0000894236,0.0063647656,0.00026715768,0.0010573773,0.00041806616,5.742977e-7,0.000009888786,0.0064877723],"genre_scores_gemma":[0.9930559,0.000016202432,0.0066569177,0.000012509779,0.00020253024,0.000003902227,0.000002429067,0.000005614137,0.00004399619],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972912,0.00025658438,0.00068431906,0.00015428795,0.001391242,0.00022234538],"domain_scores_gemma":[0.997904,0.000406989,0.00065921474,0.00009022219,0.0008366103,0.000102937454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003967548,0.00015991891,0.00045459892,0.00050762924,0.00043184176,0.000119582306,0.00017428563,0.00011848897,0.000004548354],"category_scores_gemma":[0.0008734783,0.00013143844,0.00010573666,0.0006414793,0.00010347434,0.00013746471,0.00007504933,0.0001511778,1.7177673e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055896722,0.00066292734,0.0011311383,0.00012975873,0.00050466316,0.0000011955658,0.010887256,0.0047370833,0.000049306036,0.9746865,0.00004680106,0.0071074483],"study_design_scores_gemma":[0.020585021,0.0008013466,0.16124657,0.00094387744,0.0035332176,0.000004459044,0.03923792,0.20886989,0.0022121274,0.5572776,0.0040063206,0.0012816185],"about_ca_topic_score_codex":0.000048967162,"about_ca_topic_score_gemma":9.744917e-7,"teacher_disagreement_score":0.41740888,"about_ca_system_score_codex":0.00048358712,"about_ca_system_score_gemma":0.000803359,"threshold_uncertainty_score":0.5359904},"labels":[],"label_agreement":null},{"id":"W4409583398","doi":"10.61091/jcmcc127a-013","title":"A study on the distribution of family socio-economic resources on children’s educational opportunities based on linear programming modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Korean Urban and Social Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Mathematics education; Linear programming; Computer science; Sociology; Psychology; Mathematics; Algorithm; Mathematical analysis","score_opus":0.032055583947889085,"score_gpt":0.26758059909942444,"score_spread":0.23552501515153534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99463165,0.000030855408,0.0003180701,0.0007671513,0.0023328685,0.00037290392,0.0000055231744,0.000010503744,0.0015304792],"genre_scores_gemma":[0.9993605,0.0000065797567,0.00010188386,0.000062663916,0.00044016092,0.0000045145034,0.0000022141999,0.0000118089665,0.00000965614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982781,0.00015537249,0.00068526994,0.000167212,0.0005269842,0.00018706225],"domain_scores_gemma":[0.99824405,0.0009057106,0.0005541387,0.00016590327,0.000069765745,0.000060434937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257634,0.00020015553,0.00042195118,0.0000696847,0.00053962227,0.00008439561,0.00030144607,0.0000709023,0.0000068362865],"category_scores_gemma":[0.00028204662,0.00014618634,0.00014308702,0.00012729263,0.00015494082,0.00005124401,0.00013368818,0.00032512812,0.0000020115929],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004675426,0.0049594506,0.010332549,0.000052565545,0.00033922575,0.0000052639703,0.007941868,0.01938739,0.000017194301,0.9512803,0.0018807894,0.0033358722],"study_design_scores_gemma":[0.015243827,0.011147753,0.047664613,0.0023743764,0.00065107987,0.000008888197,0.03870263,0.15608971,0.00028594138,0.7254627,0.0010743726,0.0012941435],"about_ca_topic_score_codex":0.00004835037,"about_ca_topic_score_gemma":5.2171987e-7,"teacher_disagreement_score":0.22581762,"about_ca_system_score_codex":0.00025716837,"about_ca_system_score_gemma":0.00008051397,"threshold_uncertainty_score":0.5961306},"labels":[],"label_agreement":null},{"id":"W4409583402","doi":"10.61091/jcmcc127a-003","title":"TimesNet Elevator Operation Accident Prediction Fusing DLinear and Deformable Convolution","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Elevator Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Elevator; Convolution (computer science); Computer science; Accident (philosophy); Artificial intelligence; Structural engineering; Engineering; Artificial neural network","score_opus":0.0053136538488247976,"score_gpt":0.21225341949244478,"score_spread":0.20693976564362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9619398,0.0016515609,0.020827541,0.000054248776,0.014380433,0.000311437,0.0000020568405,0.0000854526,0.0007474403],"genre_scores_gemma":[0.99802464,0.0001053411,0.000883627,0.000014237777,0.0009339016,0.0000027370334,0.0000017964034,0.00002333231,0.000010384156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982656,0.000052754458,0.0009894355,0.00013322485,0.00031900703,0.00023995133],"domain_scores_gemma":[0.9989563,0.00018041389,0.00031472935,0.00013843706,0.00030042673,0.00010969732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010519952,0.00022246159,0.0005335434,0.00019239238,0.00026179483,0.00026630866,0.00013577046,0.00016558482,0.0000027575227],"category_scores_gemma":[0.00011972595,0.00020700517,0.0000794104,0.00021211898,0.000038306378,0.00033024803,0.00007274734,0.00033439556,0.0000012781766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017232982,0.00035071457,0.0043791314,0.0013155895,0.00066742266,0.00001867999,0.0016800577,0.006207506,0.015673151,0.95926964,0.0017999399,0.008465837],"study_design_scores_gemma":[0.0085918475,0.00054582965,0.0012726753,0.0012256078,0.00029368847,0.00014180291,0.0005633273,0.87157375,0.0037878824,0.108378306,0.0031850382,0.00044026144],"about_ca_topic_score_codex":0.000007747939,"about_ca_topic_score_gemma":5.393509e-7,"teacher_disagreement_score":0.8653662,"about_ca_system_score_codex":0.00013551302,"about_ca_system_score_gemma":0.000081561746,"threshold_uncertainty_score":0.8441426},"labels":[],"label_agreement":null},{"id":"W4409583407","doi":"10.61091/jcmcc127a-010","title":"Research on Multilevel Nonlinear Optimization Path of Agricultural Low-Carbon Development Based on Double Constraints of Government Regulation and Agricultural Insurance","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Path (computing); Government (linguistics); Nonlinear system; Business; Natural resource economics; Agricultural economics; Mathematical optimization; Economics; Computer science; Mathematics; Biology; Ecology","score_opus":0.02411627312338154,"score_gpt":0.2834301603121415,"score_spread":0.25931388718876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934484,0.00003379554,0.00055619836,0.00017067307,0.0018844272,0.00034356565,0.0000019149215,0.0000060125503,0.0035550368],"genre_scores_gemma":[0.99411565,0.00003502598,0.0056303144,0.000006662212,0.00017758476,0.0000024005728,0.000002091628,0.0000064600713,0.00002378322],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99720615,0.00016541276,0.00081455417,0.0001633899,0.0014392012,0.00021130485],"domain_scores_gemma":[0.998008,0.000672732,0.0007150426,0.00008856913,0.00042462567,0.00009101772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002059807,0.00016113611,0.00041732215,0.00012707518,0.00030856358,0.00006060167,0.000186742,0.00013272285,0.0000035390767],"category_scores_gemma":[0.00022074618,0.00012278615,0.00006292516,0.00029462535,0.00026294347,0.00008578465,0.00008099838,0.00025226097,1.8522756e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011220068,0.0033288458,0.006934967,0.0008154008,0.00029107314,0.0000056025797,0.011176321,0.03310587,0.002618463,0.93452907,0.00019837178,0.0058739944],"study_design_scores_gemma":[0.047470976,0.0036662768,0.70797646,0.018774042,0.00027214756,0.000012550296,0.024472088,0.070769995,0.048930153,0.07496581,0.0008365462,0.0018529269],"about_ca_topic_score_codex":0.000012534058,"about_ca_topic_score_gemma":7.9442594e-7,"teacher_disagreement_score":0.8595633,"about_ca_system_score_codex":0.00026766214,"about_ca_system_score_gemma":0.00019641963,"threshold_uncertainty_score":0.5007074},"labels":[],"label_agreement":null},{"id":"W4409583421","doi":"10.61091/jcmcc127a-017","title":"A Data Mining Approach to Green Financial Product Innovation and Assessment of Environmental and Economic Benefits","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Business","score_opus":0.03141265215938149,"score_gpt":0.24428531728986305,"score_spread":0.21287266513048156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920574,0.0008413109,0.0018001953,0.00017522865,0.002590075,0.00026885731,0.00007263816,0.000006488908,0.0021878434],"genre_scores_gemma":[0.9831677,0.00012920435,0.01624982,0.000036031382,0.00037400017,0.0000026416383,0.000008262669,0.000020941325,0.000011395874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997688,0.00002784516,0.001558583,0.0004290244,0.00008419037,0.00021233593],"domain_scores_gemma":[0.9979171,0.00017721369,0.0014184363,0.0003695493,0.000028673468,0.00008904046],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020106172,0.00022359358,0.0008421005,0.0004445152,0.00013938422,0.000106608495,0.00037837442,0.00010641514,0.0000041441967],"category_scores_gemma":[0.00020144903,0.00025746165,0.000043722208,0.00015809441,0.00009529847,0.00029207135,0.0007100759,0.00023408495,8.1617486e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024856861,0.00029772907,0.012816242,0.00015013161,0.000101121324,6.824133e-7,0.0003333899,0.00008932154,0.00012763942,0.9826416,0.000093938346,0.003323392],"study_design_scores_gemma":[0.009948564,0.0010558182,0.109545745,0.0005295857,0.00017205144,0.000071268194,0.0006349655,0.05360097,0.00035542858,0.81827635,0.0048061903,0.001003059],"about_ca_topic_score_codex":0.00002548512,"about_ca_topic_score_gemma":8.6360393e-7,"teacher_disagreement_score":0.1643652,"about_ca_system_score_codex":0.00014649778,"about_ca_system_score_gemma":0.00007566799,"threshold_uncertainty_score":0.9999878},"labels":[],"label_agreement":null},{"id":"W4409583438","doi":"10.61091/jcmcc127a-020","title":"A study of the impact of biotourism culture on local economic development potential based on a digital communication model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Economic Development and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Digital culture; Development (topology); Computer science; Sociology; Telecommunications; Media studies; Mathematics","score_opus":0.012981357354769673,"score_gpt":0.24274733209215835,"score_spread":0.22976597473738866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99339974,0.0000099002345,0.0013704014,0.000094726005,0.0019668853,0.00033331272,9.081548e-7,0.000007999842,0.0028161271],"genre_scores_gemma":[0.9994933,0.0000014097868,0.00022450245,0.000029428134,0.00022584472,0.00000184388,0.0000026725206,0.000012681875,0.0000083143905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983322,0.000020784735,0.0010755198,0.00012979943,0.0003099762,0.00013173319],"domain_scores_gemma":[0.9976254,0.000119705874,0.0016322325,0.00023163127,0.00037712135,0.000013886411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007245171,0.00020104952,0.00048107203,0.00032479572,0.0001968691,0.00017768152,0.000449196,0.00008872704,0.0000024216392],"category_scores_gemma":[0.000101426944,0.00013973277,0.00016645083,0.00025941362,0.00006779459,0.00029216817,0.0002169485,0.00024885702,0.0000011361119],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012085597,0.0053896825,0.005327968,0.00033192395,0.0005900946,0.0000029558055,0.0012594906,0.11339385,0.0001481644,0.8650072,0.0032586488,0.0040814583],"study_design_scores_gemma":[0.014426371,0.0012766939,0.0069442387,0.0016512976,0.0001642461,0.000004218347,0.0016558088,0.60485554,0.00044997255,0.36781996,0.000280053,0.00047163235],"about_ca_topic_score_codex":0.00001962538,"about_ca_topic_score_gemma":5.08875e-7,"teacher_disagreement_score":0.49718726,"about_ca_system_score_codex":0.00018170968,"about_ca_system_score_gemma":0.00027270467,"threshold_uncertainty_score":0.5698137},"labels":[],"label_agreement":null},{"id":"W4409583443","doi":"10.61091/jcmcc127a-009","title":"Elite strategy-based improved NSGA-II algorithm for multi-robot task allocation in orbital bolting operations","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bolting; Task (project management); Computer science; Robot; Elite; Mathematical optimization; Algorithm; Artificial intelligence; Engineering; Mathematics; Structural engineering; Systems engineering; Political science","score_opus":0.011632538471326724,"score_gpt":0.2555308521503885,"score_spread":0.24389831367906178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583443","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30403847,0.0014603209,0.67848533,0.000101580976,0.014494639,0.0011024422,0.0000098670735,0.00010140149,0.00020591395],"genre_scores_gemma":[0.96226496,0.000025799423,0.036942992,0.0000143516645,0.00067651697,0.000018415283,0.0000051292186,0.000040246254,0.000011579393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978239,0.00006161171,0.0013228242,0.00019182834,0.00024504535,0.00035479717],"domain_scores_gemma":[0.9985684,0.00035813992,0.00030234814,0.0001806126,0.00048540215,0.0001050955],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013246024,0.0002990417,0.0007224237,0.00032432636,0.00026355204,0.0002542186,0.00024274936,0.00019931106,0.000001248955],"category_scores_gemma":[0.00023921442,0.00028930715,0.00017264948,0.00036383598,0.00003163667,0.00020830327,0.000056246816,0.00039306047,4.2250662e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029550938,0.0031047023,0.00032861126,0.0029354233,0.0011054364,0.000045434026,0.004873325,0.121122494,0.0661306,0.61444455,0.0002494789,0.18536443],"study_design_scores_gemma":[0.008474082,0.00032291756,0.000083037994,0.00065117405,0.00007764085,0.000008809069,0.00043240478,0.9727533,0.0011156716,0.015562538,0.00024162553,0.00027679026],"about_ca_topic_score_codex":0.000029687666,"about_ca_topic_score_gemma":0.0000074390286,"teacher_disagreement_score":0.8516308,"about_ca_system_score_codex":0.00016267478,"about_ca_system_score_gemma":0.0001889988,"threshold_uncertainty_score":0.9999559},"labels":[],"label_agreement":null},{"id":"W4409583460","doi":"10.61091/jcmcc127a-008","title":"An Optimisation Approach to Promoting Students’ Critical Thinking Skills by Incorporating English Civics Elements into the EFL Classroom Based on the Coefficient of Variation Method and Neural Network Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Civics; Artificial neural network; Variation (astronomy); Mathematics education; Computer science; Critical thinking; Algorithm; Machine learning; Artificial intelligence; Psychology","score_opus":0.012222165792564564,"score_gpt":0.33162384944549017,"score_spread":0.3194016836529256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55381566,0.000117173,0.43361944,0.0019134447,0.009022526,0.000998211,0.0000017412053,0.00008360157,0.00042816685],"genre_scores_gemma":[0.9154123,0.0000063257207,0.08370547,0.00013799661,0.0007096201,0.000011398438,0.0000010458793,0.000013506864,0.0000023598166],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99660045,0.0007860172,0.0010214924,0.0002457664,0.0010444871,0.00030178975],"domain_scores_gemma":[0.9939152,0.0037259168,0.0010098871,0.00022562529,0.0010275044,0.000095869866],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.010027365,0.0002021516,0.0004656742,0.00014080491,0.0017668894,0.00043807266,0.0006518485,0.00015087011,8.766076e-7],"category_scores_gemma":[0.004553248,0.00014560926,0.000066577144,0.00074953557,0.0002259193,0.00015626784,0.0002480515,0.0005293685,7.0729314e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003329731,0.0012615019,0.0010530679,0.000097753,0.0001069493,4.731918e-7,0.10752438,0.0037202842,0.00015179327,0.87326527,0.00032916616,0.012456088],"study_design_scores_gemma":[0.0018483021,0.0008177183,0.00048858573,0.00065648335,0.00020051672,0.0000015134985,0.029528564,0.2784413,0.0004294427,0.68705106,0.00024577536,0.00029076246],"about_ca_topic_score_codex":0.000033276134,"about_ca_topic_score_gemma":0.0000014201696,"teacher_disagreement_score":0.36159658,"about_ca_system_score_codex":0.0001894002,"about_ca_system_score_gemma":0.00022413723,"threshold_uncertainty_score":0.9995327},"labels":[],"label_agreement":null},{"id":"W4409583509","doi":"10.61091/jcmcc127a-018","title":"Relationship between the System’s Flexible Adjustment of Power Supply Ratio and the System’s New Energy Operation and Consumption Capacity Based on Data Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Power consumption; Consumption (sociology); Energy consumption; Power (physics); Environmental economics; Energy (signal processing); Environmental science; Economics; Engineering; Statistics; Mathematics; Electrical engineering; Thermodynamics","score_opus":0.02857335076084871,"score_gpt":0.26471633045356624,"score_spread":0.23614297969271753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409583509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7261882,0.0012647433,0.26622218,0.00026365425,0.0046892143,0.0006331005,0.000020110017,0.000090785536,0.0006280388],"genre_scores_gemma":[0.99838793,0.00002375942,0.0012669779,0.0000045470924,0.0002878435,0.000003306889,0.0000061163023,0.00001606478,0.0000034630573],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819773,0.0001880516,0.00081831415,0.0001573648,0.00047502093,0.0001634932],"domain_scores_gemma":[0.99650866,0.0025389679,0.0003016854,0.00042188744,0.00014241593,0.00008637014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025518334,0.0001903421,0.00060572795,0.00027849112,0.00027232803,0.00018515588,0.0003355047,0.000117080075,0.0000010283812],"category_scores_gemma":[0.00024990522,0.00012625362,0.000071582785,0.0003561713,0.00010736939,0.00010321236,0.00014304643,0.00038222724,2.5196323e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063076564,0.00003273504,0.0021700752,0.00073401607,0.00037127326,9.485939e-7,0.0003212854,0.021159522,0.00006954639,0.9747755,0.00014173867,0.00016029243],"study_design_scores_gemma":[0.005121121,0.0001424026,0.0077221277,0.000677482,0.0010107507,0.000011386497,0.00031573127,0.9679729,0.00046807184,0.016327612,0.000053770407,0.00017669276],"about_ca_topic_score_codex":0.000043076194,"about_ca_topic_score_gemma":0.0000012757723,"teacher_disagreement_score":0.9584479,"about_ca_system_score_codex":0.0001182928,"about_ca_system_score_gemma":0.00007874301,"threshold_uncertainty_score":0.51484734},"labels":[],"label_agreement":null},{"id":"W4409594694","doi":"10.61091/jcmcc127b-002","title":"Deep Neural Network-based Optimal Path Selection for Propagation Information and Its Enhancement on Data Flow Efficiency","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Computer science; Path (computing); Artificial neural network; Artificial intelligence; Flow (mathematics); Data mining; Mathematics; Computer network; Geometry","score_opus":0.014151670663558522,"score_gpt":0.26133447240743146,"score_spread":0.24718280174387294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409594694","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11436039,0.00023050373,0.87801546,0.0003493547,0.0065327375,0.00041226816,0.0000010036524,0.000036344536,0.00006196615],"genre_scores_gemma":[0.91775334,0.000010974896,0.08155949,0.00010366373,0.0005530625,0.0000043552727,0.0000055833834,0.000008063313,0.0000014380537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811053,0.00006428487,0.0008456616,0.00023274323,0.0004484953,0.00029828175],"domain_scores_gemma":[0.9978268,0.00046419172,0.000870009,0.00022252754,0.00052283687,0.00009360844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017313262,0.0002093883,0.00038441765,0.00019886158,0.00047947036,0.00062587473,0.0006120891,0.00010025176,6.102973e-7],"category_scores_gemma":[0.00049981714,0.00018448758,0.000057122885,0.00043739128,0.000024650462,0.0009738727,0.00027462703,0.00026126916,4.6007875e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005372104,0.0011433694,0.00015051065,0.0014848816,0.00016143783,0.0000048648644,0.0011840042,0.06262066,0.0011339999,0.7714064,0.0008660811,0.15930656],"study_design_scores_gemma":[0.0029812914,0.0009329907,0.000018293658,0.00035996453,0.00004186886,0.000011609159,0.000025183595,0.93624145,0.0066417456,0.05233053,0.00025031468,0.00016476982],"about_ca_topic_score_codex":8.505729e-7,"about_ca_topic_score_gemma":1.0781958e-7,"teacher_disagreement_score":0.8736208,"about_ca_system_score_codex":0.00007517984,"about_ca_system_score_gemma":0.00022318773,"threshold_uncertainty_score":0.7523185},"labels":[],"label_agreement":null},{"id":"W4409594886","doi":"10.61091/jcmcc127b-005","title":"Dynamic Analysis of College Students’ Employment and Entrepreneurship Market Trends Based on Time Series Forecasting Models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Series (stratigraphy); Time series; Econometrics; Economics; Mathematics education; Computer science; Psychology; Machine learning; Finance; Geology","score_opus":0.012760222732389165,"score_gpt":0.2627810489930949,"score_spread":0.25002082626070576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409594886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99245524,0.000028868171,0.0009885825,0.0002675882,0.001414716,0.00012424124,0.0000100231755,0.0000087506905,0.004702008],"genre_scores_gemma":[0.9973132,0.0000072082125,0.0024186492,0.00003323123,0.000042435386,0.0000020187158,0.0000032311298,0.000010203312,0.00016981135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808794,0.00006229958,0.00084840413,0.00018283215,0.0006394133,0.0001791019],"domain_scores_gemma":[0.9983806,0.0005262819,0.0007035728,0.00017359294,0.00013249101,0.00008344703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011720574,0.0001817173,0.0005543497,0.00044972534,0.00019719647,0.000079963254,0.0002585769,0.00007531699,0.000079176185],"category_scores_gemma":[0.0001939483,0.00015177942,0.00013435577,0.0011846626,0.000104690116,0.00019212095,0.00019554226,0.00017946653,3.7719494e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008112095,0.0051528118,0.07013213,0.00030131586,0.0022358259,0.000018811334,0.0024221512,0.019001013,0.0012833131,0.8871906,0.0018990291,0.009551813],"study_design_scores_gemma":[0.003547162,0.0010554609,0.03841216,0.00046289896,0.001004898,0.000010615534,0.00038829923,0.5553406,0.0003027302,0.3989231,0.00021176568,0.0003403116],"about_ca_topic_score_codex":0.000010466776,"about_ca_topic_score_gemma":0.000001528233,"teacher_disagreement_score":0.5363396,"about_ca_system_score_codex":0.0001515161,"about_ca_system_score_gemma":0.000052857675,"threshold_uncertainty_score":0.6189385},"labels":[],"label_agreement":null},{"id":"W4409595430","doi":"10.61091/jcmcc127b-001","title":"Application of Artificial Intelligence in Tourism Cultural Heritage and Its Impact on Cultural Cognition","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cultural intelligence; Cultural heritage; Tourism; Cognition; Psychology; Geography; Social psychology; Archaeology","score_opus":0.04576791179881968,"score_gpt":0.29809071915778257,"score_spread":0.2523228073589629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409595430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991409,0.00026128482,0.00036598992,0.00014149882,0.0027688842,0.00033346823,0.000003505568,0.000014190296,0.004702153],"genre_scores_gemma":[0.9991289,0.00004304265,0.0001573107,0.00001617405,0.0006186127,0.0000026059317,0.000004571313,0.000007706401,0.000021102107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985769,0.00006506073,0.00080756046,0.00013144934,0.00026723038,0.00015182524],"domain_scores_gemma":[0.9985813,0.00026454288,0.00055668055,0.00007760203,0.00047408292,0.000045777284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060396036,0.0001804254,0.0004187348,0.00017925333,0.00017093557,0.00023643751,0.00015664933,0.00007247988,0.000012028641],"category_scores_gemma":[0.00016614397,0.00013301629,0.000095828764,0.00014392629,0.0000801119,0.00036679086,0.000087827786,0.0002523358,9.719894e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017096083,0.00025832592,0.000055955006,0.00021115843,0.000054925094,0.0000024272508,0.005928669,0.000034401382,0.0005771389,0.9866555,0.000117184274,0.005933385],"study_design_scores_gemma":[0.0015413249,0.00092160486,0.00046224648,0.0008771754,0.00012874085,0.0000060416423,0.009307954,0.03248826,0.0013370346,0.9518672,0.0007668714,0.00029551747],"about_ca_topic_score_codex":0.00003947877,"about_ca_topic_score_gemma":0.0000075626704,"teacher_disagreement_score":0.034788243,"about_ca_system_score_codex":0.00004751538,"about_ca_system_score_gemma":0.000021075473,"threshold_uncertainty_score":0.54242474},"labels":[],"label_agreement":null},{"id":"W4409595450","doi":"10.61091/jcmcc127b-004","title":"A Study of Modern Chinese Quantifier Constructions Based on Random Forest (RF) Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Random forest; Quantifier (linguistics); Linguistics; Mathematics; Computer science; Statistics; Geography; Artificial intelligence; Philosophy","score_opus":0.018577700128064912,"score_gpt":0.3064975126125779,"score_spread":0.287919812484513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409595450","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37375167,0.000037773032,0.6234199,0.00010695635,0.0019838784,0.00031242173,7.424262e-7,0.00003750856,0.00034915927],"genre_scores_gemma":[0.9535382,0.00000470412,0.04623679,0.00002984068,0.00016647823,0.000008198949,5.529956e-7,0.000013103561,0.000002158845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977138,0.00008398866,0.0011786232,0.00026196218,0.0005653306,0.00019628309],"domain_scores_gemma":[0.9969581,0.000941847,0.0008215656,0.00041807588,0.0007692784,0.00009114346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081744196,0.0002414392,0.0006779481,0.00039605287,0.00031123965,0.00015124415,0.00069869333,0.000090236,5.6950756e-7],"category_scores_gemma":[0.00027178702,0.00020495127,0.00016428447,0.00071065,0.000054028496,0.0002059138,0.00023300265,0.00036181815,2.654091e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008114458,0.0015560429,0.00026676277,0.000060314225,0.0000688388,0.000006698071,0.00047635805,0.09986446,0.00010255933,0.89546794,0.000017106027,0.0020317542],"study_design_scores_gemma":[0.0032751462,0.00038066588,0.000038334012,0.0001423251,0.00002673967,0.000009420045,0.000080986676,0.5046391,0.00004461094,0.4912616,0.000008622811,0.0000924324],"about_ca_topic_score_codex":0.000005137022,"about_ca_topic_score_gemma":5.5353814e-7,"teacher_disagreement_score":0.5797865,"about_ca_system_score_codex":0.00005414594,"about_ca_system_score_gemma":0.0001909381,"threshold_uncertainty_score":0.83576703},"labels":[],"label_agreement":null},{"id":"W4409595485","doi":"10.61091/jcmcc127b-003","title":"Research on the construction of accurate path of Marxist education communication in new media environment based on deep learning modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Marxist philosophy; Path (computing); Computer science; Mathematics education; Sociology; Data science; Artificial intelligence; Psychology; Political science; Computer network","score_opus":0.032603500133492426,"score_gpt":0.3070922534006828,"score_spread":0.27448875326719036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409595485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98920614,0.00006620491,0.0032205367,0.00075250387,0.0013921945,0.00022963519,4.647842e-7,0.0000032142927,0.005129114],"genre_scores_gemma":[0.99614596,0.000058271766,0.0036593087,0.00002135185,0.00009527722,0.0000025329011,0.0000020329676,0.000007775965,0.0000074770674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980675,0.00020851546,0.0008339056,0.000114771545,0.0006396244,0.00013566634],"domain_scores_gemma":[0.9974717,0.0014370899,0.00065640156,0.00022275759,0.00016578267,0.000046272187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002772895,0.000109172426,0.00025975192,0.00024049087,0.00021261808,0.000039073493,0.0003066207,0.000078056546,0.000030600066],"category_scores_gemma":[0.000801791,0.00008165758,0.00005489709,0.00055596884,0.00015288363,0.00010565741,0.00012171784,0.00055680634,0.0000014227311],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075083786,0.0007346131,0.0013931631,0.00004325385,0.000012364899,1.4752708e-7,0.0007971068,0.025672037,0.0003363755,0.96542716,0.00008066524,0.005428022],"study_design_scores_gemma":[0.0013331918,0.00043671674,0.002381047,0.0009941215,0.000020803984,0.0000019454262,0.0037358445,0.17412108,0.0008499778,0.815777,0.0002368284,0.00011143904],"about_ca_topic_score_codex":0.00007568426,"about_ca_topic_score_gemma":0.0000014743479,"teacher_disagreement_score":0.14965017,"about_ca_system_score_codex":0.00023208356,"about_ca_system_score_gemma":0.00025199066,"threshold_uncertainty_score":0.33298993},"labels":[],"label_agreement":null},{"id":"W4409601994","doi":"10.61091/jcmcc127b-063","title":"Graphical Learning Algorithm Based Analysis of Entity Relationships in Legal Texts","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Algorithm; Natural language processing","score_opus":0.026184073947241922,"score_gpt":0.3250135321718815,"score_spread":0.2988294582246396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409601994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9313705,0.00018526556,0.054279905,0.0004317375,0.008429033,0.00028952892,0.0000020948873,0.000032682306,0.00497924],"genre_scores_gemma":[0.9955991,0.000023414012,0.004049437,0.000010914925,0.00029100955,0.0000010385734,0.0000011427828,0.000009285174,0.0000146814555],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996649,0.0006840716,0.0014151584,0.00018224106,0.0007706483,0.00029884078],"domain_scores_gemma":[0.9953279,0.0026740446,0.0009893911,0.00015290764,0.00073128246,0.00012446898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060239513,0.00016475088,0.0008154423,0.0010762461,0.0005488429,0.00017137485,0.00039833284,0.00023933577,0.00001755529],"category_scores_gemma":[0.0034874864,0.0001682106,0.00030067767,0.0027873048,0.0003389695,0.00024392623,0.000100919,0.00086228485,6.0842035e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003708179,0.00047175746,0.01468183,0.000040013547,0.0002200896,0.000009131387,0.002503911,0.000833031,0.00004502766,0.978658,0.000024322437,0.0024757679],"study_design_scores_gemma":[0.0015575439,0.00029077657,0.0038856796,0.00052105205,0.00086664996,0.0000016399064,0.004566011,0.10813909,0.00040819426,0.8768872,0.0025645697,0.00031161812],"about_ca_topic_score_codex":0.00038232186,"about_ca_topic_score_gemma":0.00009647379,"teacher_disagreement_score":0.107306056,"about_ca_system_score_codex":0.00015024364,"about_ca_system_score_gemma":0.0004310383,"threshold_uncertainty_score":0.6859429},"labels":[],"label_agreement":null},{"id":"W4409601997","doi":"10.61091/jcmcc127b-065","title":"Construction of Big Data-Driven Students’ Career Planning and Innovation and Entrepreneurship Education Path by Integrating Support Vector Machine Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Path (computing); Support vector machine; Big data; Computer science; Career path; Entrepreneurship education; Algorithm; Artificial intelligence; Industrial engineering; Mathematics education; Knowledge management; Engineering management; Engineering; Data mining; Mathematics; Business","score_opus":0.022487338881544056,"score_gpt":0.29684888552667393,"score_spread":0.2743615466451299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409601997","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4408373,0.0008146454,0.54626584,0.00020403489,0.011400218,0.0002473735,0.000007071793,0.000055457596,0.00016807902],"genre_scores_gemma":[0.89373374,0.00004690976,0.10597347,0.000023796249,0.00020077122,0.0000014777019,0.0000064967326,0.000009745047,0.0000036068702],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980237,0.000071829665,0.00097471627,0.0002989927,0.00042857806,0.0002022034],"domain_scores_gemma":[0.99737275,0.000484866,0.0011558471,0.00040006606,0.00052533706,0.00006114068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010944131,0.00020672988,0.0005026481,0.00040748002,0.00018101351,0.00023915917,0.0008193254,0.00016528343,4.4045382e-7],"category_scores_gemma":[0.00088978175,0.00019245455,0.000028492466,0.00066914316,0.00012818431,0.0003824449,0.0011736561,0.0004758054,4.9958135e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016140313,0.00024511723,0.0076152654,0.00016929743,0.000086707674,0.0000043107293,0.0008830242,0.0000050394124,0.00054482947,0.8176449,0.00015636234,0.17262898],"study_design_scores_gemma":[0.0036011986,0.00094200205,0.00075287174,0.0011523265,0.00013139358,0.00019625672,0.0014411958,0.03659899,0.0027100698,0.9514133,0.00066160725,0.00039880478],"about_ca_topic_score_codex":0.000011135626,"about_ca_topic_score_gemma":1.9473259e-7,"teacher_disagreement_score":0.45289645,"about_ca_system_score_codex":0.00006553242,"about_ca_system_score_gemma":0.00022662095,"threshold_uncertainty_score":0.78480685},"labels":[],"label_agreement":null},{"id":"W4409602004","doi":"10.61091/jcmcc127b-041","title":"Research on the Design of Quality Evaluation System of Vocational Education Industry-Teaching Integration Based on Hierarchical Analysis Method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Quality (philosophy); Engineering management; Mathematics education; Computer science; Engineering; Sociology; Psychology; Pedagogy; Epistemology","score_opus":0.08351132798330158,"score_gpt":0.425320099786599,"score_spread":0.34180877180329744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80958605,0.000017078055,0.17241105,0.0015060634,0.0030951959,0.00068593025,0.0000030249669,0.000007553468,0.012688024],"genre_scores_gemma":[0.9866053,9.0164815e-7,0.013144227,0.00004262356,0.00017611073,0.000010663088,0.000004299185,0.0000065218896,0.000009338677],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995606,0.0013563335,0.0011623702,0.00016800857,0.001567986,0.00013928664],"domain_scores_gemma":[0.9929953,0.004684438,0.0010827752,0.00026740713,0.00091620523,0.00005384074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020484835,0.00012982846,0.00039860525,0.0005182999,0.00034858342,0.00006128552,0.0003351678,0.0001569742,0.000030121322],"category_scores_gemma":[0.0030582102,0.00008819478,0.00012452461,0.0015012345,0.00013144551,0.000108267464,0.000076447686,0.0008687488,8.2284095e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008563873,0.0009342379,0.000494974,0.000053633965,0.00008836314,5.705669e-8,0.0004087075,0.011581135,0.00075066695,0.97902435,0.00021473778,0.006363519],"study_design_scores_gemma":[0.0012974371,0.0007539779,0.020689547,0.0008875964,0.00032382642,0.0000018686363,0.003559852,0.35096315,0.00330578,0.61799765,0.000066484026,0.0001528139],"about_ca_topic_score_codex":0.00007519907,"about_ca_topic_score_gemma":6.4861496e-7,"teacher_disagreement_score":0.36102667,"about_ca_system_score_codex":0.00044758592,"about_ca_system_score_gemma":0.0006000276,"threshold_uncertainty_score":0.70996755},"labels":[],"label_agreement":null},{"id":"W4409602010","doi":"10.61091/jcmcc127b-023","title":"Research on the strategy of rational utilization of agroforestry resources and maximization of ecological benefits based on the variable score method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Maximization; Variable (mathematics); Agroforestry; Ecology; Geography; Mathematics; Economics; Environmental science; Biology; Microeconomics","score_opus":0.08746877849473882,"score_gpt":0.3445074226981623,"score_spread":0.2570386442034235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98923385,0.00009310191,0.003354369,0.0012179588,0.0011159042,0.00035732382,0.0000019537854,0.000003609985,0.0046219174],"genre_scores_gemma":[0.9984561,0.00007099122,0.0012909933,0.000021724487,0.00013782026,0.000002068709,8.5584514e-7,0.0000050716026,0.000014324877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975129,0.00061743177,0.00065362605,0.00010774204,0.00096247956,0.00014583323],"domain_scores_gemma":[0.99357826,0.0051257936,0.00066466787,0.00011431572,0.00047559084,0.000041355168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006515037,0.00010023788,0.00031418368,0.00015513178,0.00043631194,0.00005783139,0.00028330143,0.00012241311,0.000016816955],"category_scores_gemma":[0.0012036685,0.0000612077,0.000057811136,0.00046300594,0.00032728608,0.000053850712,0.00008901218,0.00026529454,1.033601e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011511077,0.0003350883,0.0006283428,0.00006763419,0.000034783006,3.3139608e-7,0.0008630582,0.004186881,0.000081312515,0.9928018,0.00015327963,0.00073241343],"study_design_scores_gemma":[0.0012979733,0.0007350263,0.010560055,0.00085865246,0.00004617093,8.8833355e-7,0.0028868113,0.016590398,0.0012829365,0.9652382,0.0004084906,0.00009436675],"about_ca_topic_score_codex":0.000021628945,"about_ca_topic_score_gemma":0.0000010319392,"teacher_disagreement_score":0.027563535,"about_ca_system_score_codex":0.000052039348,"about_ca_system_score_gemma":0.00026513133,"threshold_uncertainty_score":0.3355803},"labels":[],"label_agreement":null},{"id":"W4409602014","doi":"10.61091/jcmcc127b-047","title":"Improvement of multi-scale image alignment techniques in computer vision based on numerical analysis methods","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Scale (ratio); Image (mathematics); Computer graphics (images); Geography; Cartography","score_opus":0.013138062153941218,"score_gpt":0.29853266800057754,"score_spread":0.28539460584663634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6948058,0.00014803249,0.29932564,0.00012399383,0.0046196436,0.00034452177,0.0000075262537,0.000028399449,0.0005964415],"genre_scores_gemma":[0.8601237,0.000009037534,0.13969693,0.000038467606,0.000121007455,4.6512812e-7,0.0000036922106,0.0000043469418,0.0000023887071],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99772274,0.00028570296,0.0010943182,0.00021234114,0.0004487489,0.00023616689],"domain_scores_gemma":[0.99798846,0.00084477785,0.0006430274,0.00019177201,0.0002305405,0.00010140035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00283621,0.00021737996,0.00084342156,0.00040323395,0.0001131583,0.000102000224,0.00028560671,0.000119825796,0.000019272738],"category_scores_gemma":[0.000118250115,0.00016524145,0.00024487264,0.00078734464,0.0000654242,0.00010373543,0.0000520432,0.00031610907,6.265211e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022180039,0.009153282,0.16533327,0.0019308002,0.0019090777,0.0001530686,0.0033625998,0.025650479,0.014400989,0.026676493,0.00048972113,0.7487222],"study_design_scores_gemma":[0.0045079766,0.0033236372,0.02733378,0.00079699734,0.00035090957,0.0000052938794,0.00032981322,0.92075974,0.0097485855,0.032320257,0.0001247292,0.00039826383],"about_ca_topic_score_codex":0.00013630284,"about_ca_topic_score_gemma":0.000011304811,"teacher_disagreement_score":0.8951093,"about_ca_system_score_codex":0.000034604014,"about_ca_system_score_gemma":0.000065489,"threshold_uncertainty_score":0.6738351},"labels":[],"label_agreement":null},{"id":"W4409602019","doi":"10.61091/jcmcc127b-070","title":"Exploring Emotion Analysis in Modern Chinese Fiction Using AI Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Art; Literature; Psychology","score_opus":0.04625276920904937,"score_gpt":0.35620690903021784,"score_spread":0.3099541398211685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.881015,0.0001946735,0.112352826,0.00036591536,0.0052083917,0.0001177401,3.1586234e-7,0.000027670721,0.0007174805],"genre_scores_gemma":[0.99214065,0.00005949986,0.0072053634,0.000014539581,0.00056271825,0.0000013981678,6.2973015e-7,0.000009002216,0.0000061927753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977242,0.00028508264,0.0009913341,0.00019758542,0.00053630763,0.00026551212],"domain_scores_gemma":[0.9978493,0.0006514455,0.0006433355,0.00013520436,0.00063617865,0.00008452402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030089647,0.00017760451,0.00074049114,0.0018871743,0.00046369206,0.00018134872,0.00027995132,0.00015251269,0.000004489166],"category_scores_gemma":[0.0009937772,0.00016880484,0.0002460593,0.004139915,0.00010552538,0.00039795652,0.00012761453,0.0004288598,2.3571619e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055903016,0.00051067316,0.020595761,0.00006277996,0.000646894,0.000014011194,0.005990329,0.008925924,0.00027834167,0.94584185,0.000008230631,0.017069297],"study_design_scores_gemma":[0.0013309391,0.000065457396,0.0029566842,0.0001677199,0.0004390471,0.0000038340618,0.0022381982,0.15255092,0.000041597457,0.8399376,0.00010309309,0.00016486092],"about_ca_topic_score_codex":0.00014935661,"about_ca_topic_score_gemma":0.000016770777,"teacher_disagreement_score":0.143625,"about_ca_system_score_codex":0.00025030857,"about_ca_system_score_gemma":0.00024302579,"threshold_uncertainty_score":0.6883662},"labels":[],"label_agreement":null},{"id":"W4409602021","doi":"10.61091/jcmcc127b-061","title":"A Personalized Path Generation Model for English Learning Based on Natural Language Processing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Path (computing); Natural language processing; Artificial intelligence; Natural (archaeology); Programming language; History","score_opus":0.013889722420504978,"score_gpt":0.29287502543261124,"score_spread":0.2789853030121063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602021","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11920553,0.0005250862,0.86923856,0.00071334944,0.009612822,0.00030303388,7.259389e-7,0.000091332644,0.00030954657],"genre_scores_gemma":[0.93448305,0.0000040266873,0.06474846,0.00009350088,0.0006170346,0.000007192238,0.0000020713198,0.0000107461765,0.00003394348],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985526,0.000069957896,0.0005628274,0.00022111292,0.0003752438,0.00021821454],"domain_scores_gemma":[0.9979435,0.00053132226,0.0005813202,0.00016445684,0.0007199128,0.000059495946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012390534,0.00018835526,0.000382692,0.00024640138,0.00041501614,0.00028918358,0.0004635894,0.0001239148,5.2417556e-7],"category_scores_gemma":[0.0007757181,0.00016748415,0.00012792229,0.00029296332,0.000046296474,0.00022868169,0.00010460223,0.0004753673,1.5582751e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041294123,0.0004101669,0.000044246615,0.00015144302,0.00003522294,0.0000028018544,0.002572901,0.0031239702,0.00041925375,0.9857839,0.00025235763,0.0071624895],"study_design_scores_gemma":[0.00244149,0.00025551653,0.0000075470666,0.00029261998,0.000030399635,0.0000036664358,0.00032349388,0.8618404,0.00048720097,0.13402449,0.00015649351,0.00013668419],"about_ca_topic_score_codex":4.875691e-7,"about_ca_topic_score_gemma":6.676857e-8,"teacher_disagreement_score":0.8587164,"about_ca_system_score_codex":0.00010285513,"about_ca_system_score_gemma":0.00044641775,"threshold_uncertainty_score":0.68298054},"labels":[],"label_agreement":null},{"id":"W4409602028","doi":"10.61091/jcmcc127b-040","title":"Research on Digital Campus Network Security Vulnerability Identification System Based on Numerical Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vulnerability assessment; Identification (biology); Vulnerability (computing); Computer science; Computer security; Network security; Campus network; Psychology; Biology; Ecology","score_opus":0.016684616483331326,"score_gpt":0.29899285474306303,"score_spread":0.2823082382597317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602028","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42082086,0.00013122175,0.5452226,0.0005728535,0.028001217,0.00058443553,0.0000032827593,0.00016893835,0.0044945762],"genre_scores_gemma":[0.99782854,0.000004350628,0.001058285,0.0000391408,0.0010477498,0.000004021429,0.0000016352902,0.0000117768495,0.0000044976705],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99565524,0.00065762893,0.0013590192,0.00047008524,0.0014008771,0.0004571684],"domain_scores_gemma":[0.9943203,0.002769932,0.0008969964,0.00070580555,0.0011103023,0.00019668372],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0064452086,0.0002720996,0.00081200054,0.0008103839,0.00085563166,0.0011419966,0.00097113894,0.00023342654,0.0000025136105],"category_scores_gemma":[0.0007071699,0.00024104316,0.00034268366,0.0034547225,0.000100308986,0.0003600344,0.0003369632,0.001176841,0.000005247683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016853657,0.00078578305,0.00022559437,0.00013519384,0.000193708,0.000013894977,0.00023211876,0.011180104,0.000008455632,0.9838142,0.00048883655,0.0027535877],"study_design_scores_gemma":[0.0013861655,0.00079842843,0.0003401121,0.0003824209,0.00010029228,0.0000078027315,0.0001225061,0.62300205,0.00018340402,0.3731436,0.00034955915,0.00018366014],"about_ca_topic_score_codex":0.000009256803,"about_ca_topic_score_gemma":3.6112777e-7,"teacher_disagreement_score":0.61182195,"about_ca_system_score_codex":0.0003696435,"about_ca_system_score_gemma":0.00020518067,"threshold_uncertainty_score":0.9998949},"labels":[],"label_agreement":null},{"id":"W4409602031","doi":"10.61091/jcmcc127b-043","title":"Implications of Finite Element Method-based Analysis of Wushu Movement Mechanics for Performance Techniques and Injury Prevention","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Finite element method; Movement (music); Mechanics; Structural engineering; Computer science; Engineering; Physics; Acoustics","score_opus":0.013713303967608207,"score_gpt":0.32664467119161855,"score_spread":0.3129313672240103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7573527,0.00021759847,0.23950343,0.0002590239,0.0016292458,0.000718911,0.0000157991,0.000014198129,0.00028907738],"genre_scores_gemma":[0.95574534,0.00011693439,0.04393421,0.00003228733,0.00013796716,0.000007758735,0.0000053817794,0.000010280145,0.0000098189585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99819607,0.0000304414,0.0012437274,0.00013155479,0.00026127833,0.00013692872],"domain_scores_gemma":[0.99735355,0.00036212587,0.0012639445,0.00021294614,0.0007466981,0.000060711147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016823666,0.00014941729,0.0008518965,0.00048673517,0.00009601885,0.000021863583,0.0001272566,0.00009190709,0.0000049463465],"category_scores_gemma":[0.00012160329,0.00012947523,0.00023553564,0.00049672066,0.00003816558,0.00006699792,0.000084362415,0.00015203298,1.6130583e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012749702,0.0016748302,0.0061633703,0.0037430574,0.0024319533,0.0000011506672,0.00068208674,0.00039029232,0.0030838668,0.93644387,0.00018906851,0.04392149],"study_design_scores_gemma":[0.009869153,0.009409528,0.0033826495,0.004029907,0.008210222,0.000011191158,0.00043300402,0.34461614,0.12515436,0.49168685,0.0027687042,0.000428277],"about_ca_topic_score_codex":0.00000406832,"about_ca_topic_score_gemma":2.4932916e-7,"teacher_disagreement_score":0.444757,"about_ca_system_score_codex":0.000053138137,"about_ca_system_score_gemma":0.00016272483,"threshold_uncertainty_score":0.5279847},"labels":[],"label_agreement":null},{"id":"W4409602037","doi":"10.61091/jcmcc127b-032","title":"Research on Personalized Learning Path Optimization Strategy Assisted by Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Artificial intelligence; Computer science; Machine learning; Computer network","score_opus":0.06920222493121439,"score_gpt":0.3787222521371853,"score_spread":0.30952002720597094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16858064,0.0007262476,0.81069237,0.0020539325,0.0130101545,0.00034870065,0.0000012617726,0.00012352005,0.004463166],"genre_scores_gemma":[0.9876967,0.00006574672,0.011758682,0.00003693118,0.00037131866,0.0000031308523,0.0000016147291,0.000012539538,0.000053324417],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972966,0.00040775587,0.0009069764,0.00029798414,0.0007397033,0.00035102817],"domain_scores_gemma":[0.9961059,0.0019205232,0.000582475,0.00026110082,0.0010176881,0.00011228862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034412593,0.00020739585,0.00046173413,0.0005123572,0.0006450224,0.00041169056,0.00089321844,0.00025519007,0.000008957599],"category_scores_gemma":[0.000905014,0.00019370917,0.00010264986,0.001035187,0.0001847639,0.00023612309,0.00026871148,0.0012374701,0.000003480687],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069734655,0.00058859686,0.00001744449,0.00005012552,0.0000539289,0.0000074163886,0.00041997616,0.002401681,0.00019942183,0.98585,0.00040782607,0.009933847],"study_design_scores_gemma":[0.00081070786,0.0012257098,0.000026291875,0.00034801496,0.000022527754,0.00003325686,0.0012309089,0.095933825,0.0011358984,0.89828706,0.00074745464,0.00019836045],"about_ca_topic_score_codex":0.000006175114,"about_ca_topic_score_gemma":1.0468971e-7,"teacher_disagreement_score":0.81911606,"about_ca_system_score_codex":0.00012999188,"about_ca_system_score_gemma":0.00043637218,"threshold_uncertainty_score":0.7899231},"labels":[],"label_agreement":null},{"id":"W4409602041","doi":"10.61091/jcmcc127b-050","title":"Application and Algorithm Design of Multi-Channel Sensor Fusion Technology for Laser Spot Detection","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Channel (broadcasting); Computer science; Hot spot (computer programming); Sensor fusion; Laser; Algorithm; Fusion; Artificial intelligence; Telecommunications; Optics; Physics; Computer network","score_opus":0.00901021108659415,"score_gpt":0.23043478555060562,"score_spread":0.22142457446401148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602041","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1700697,0.00035417892,0.8255279,0.000042510223,0.0034918406,0.00042653555,0.0000020099942,0.00006759758,0.000017709215],"genre_scores_gemma":[0.9685199,0.000049594673,0.031207778,0.0000026680261,0.0001874595,0.000008979318,4.0620952e-7,0.000020591833,0.00000261594],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987827,0.000025762505,0.0007375813,0.00013042249,0.00013789581,0.00018564946],"domain_scores_gemma":[0.99878097,0.00037446147,0.00032593656,0.00013510442,0.0003305285,0.000052974206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006633817,0.00017252033,0.0005489845,0.0003272384,0.000111100824,0.00003314418,0.0001421849,0.0002931185,3.0334604e-7],"category_scores_gemma":[0.00019879821,0.0001595098,0.00006521326,0.00030858265,0.0000703747,0.00006108517,0.00007456014,0.0002491406,2.0679232e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035711227,0.0015299548,0.00012285088,0.004080268,0.0008266821,0.00001452857,0.00091596553,0.010161251,0.13190621,0.6358697,0.00016746872,0.21404801],"study_design_scores_gemma":[0.0037525045,0.0005322203,0.000017847035,0.00028877443,0.00010073574,0.000036245143,0.00028861358,0.70059454,0.04038684,0.25355548,0.00027659268,0.0001696143],"about_ca_topic_score_codex":0.0000029700198,"about_ca_topic_score_gemma":1.9088374e-7,"teacher_disagreement_score":0.79845023,"about_ca_system_score_codex":0.000047391004,"about_ca_system_score_gemma":0.000022523738,"threshold_uncertainty_score":0.6504621},"labels":[],"label_agreement":null},{"id":"W4409602045","doi":"10.61091/jcmcc127b-031","title":"Research on urban landscape path planning and spatial optimization algorithm based on hierarchical grid model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grid; Computer science; Path (computing); Motion planning; Algorithm; Geography; Artificial intelligence; Geodesy","score_opus":0.028150443447791072,"score_gpt":0.32716034098655494,"score_spread":0.2990098975387639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602045","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32202914,0.0006823504,0.54342276,0.003370553,0.04567238,0.0022335774,0.000021018883,0.00021715119,0.08235108],"genre_scores_gemma":[0.99255884,0.000029113511,0.0059419,0.000056288267,0.0013758005,0.0000042213123,0.0000018326252,0.000014076916,0.000017939365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996886,0.00035191257,0.0008500574,0.0001954172,0.0013248187,0.00039179643],"domain_scores_gemma":[0.99639666,0.0018343438,0.0005225165,0.00015852571,0.00091910287,0.00016883812],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005329654,0.00020233006,0.00052570755,0.000709829,0.0014189241,0.00037811353,0.00028296025,0.00020568399,0.000003030251],"category_scores_gemma":[0.00085080776,0.00017891331,0.00009605698,0.0006019814,0.00023680706,0.0001556672,0.00014097293,0.0007436231,7.6280287e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016879858,0.0003948989,0.0006729659,0.00014265736,0.00007633716,0.000010571951,0.009773783,0.029830724,0.0000019994213,0.9541806,0.0017854465,0.0029611986],"study_design_scores_gemma":[0.0034835255,0.0008713961,0.00013429957,0.0010489204,0.000037956936,0.000002955184,0.005022984,0.83413124,0.000010931524,0.1541653,0.0008826841,0.00020781945],"about_ca_topic_score_codex":0.000045674875,"about_ca_topic_score_gemma":8.2985235e-7,"teacher_disagreement_score":0.8043005,"about_ca_system_score_codex":0.00010397158,"about_ca_system_score_gemma":0.00032248456,"threshold_uncertainty_score":0.9998811},"labels":[],"label_agreement":null},{"id":"W4409602051","doi":"10.61091/jcmcc127b-038","title":"Research on Optimization Strategies of Language Curriculum Design and Teaching Activities in Higher Vocational Colleges and Universities Based on Hierarchical Analysis Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Curriculum; Mathematics education; Computer science; Engineering management; Sociology; Engineering; Pedagogy; Psychology","score_opus":0.02183266055203895,"score_gpt":0.30708444937205454,"score_spread":0.28525178882001556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766588,0.00002528937,0.012991499,0.00027190073,0.0004564028,0.00015083479,0.0000013671606,0.0000043863874,0.009439502],"genre_scores_gemma":[0.98576003,0.000006392085,0.014129837,0.000011605955,0.00006308322,0.0000016659777,0.000001770164,0.0000048124534,0.000020807349],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987413,0.00019243632,0.00036106474,0.0001327828,0.00044919,0.00012317441],"domain_scores_gemma":[0.99846315,0.0011079698,0.00022579046,0.00008089362,0.00008014154,0.00004205289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017430257,0.00010270831,0.0002782243,0.00051467796,0.00023260062,0.00009938324,0.0001151775,0.000069575144,0.000011121741],"category_scores_gemma":[0.00010408401,0.00008451482,0.000034750028,0.00056545524,0.00018203029,0.00018681507,0.00008364489,0.0003633103,6.468126e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056649635,0.0005646072,0.0008739729,0.000052666288,0.00005044567,0.0000010068748,0.0010430956,0.08173926,0.000057188132,0.9152544,0.000039788876,0.00026687095],"study_design_scores_gemma":[0.0035796466,0.0012228377,0.021166967,0.0005293673,0.00015955357,0.0000041366407,0.04055217,0.74534196,0.000192012,0.1869193,0.00005669998,0.00027536642],"about_ca_topic_score_codex":0.000043166663,"about_ca_topic_score_gemma":5.283703e-7,"teacher_disagreement_score":0.72833514,"about_ca_system_score_codex":0.00014233548,"about_ca_system_score_gemma":0.00012816106,"threshold_uncertainty_score":0.34464142},"labels":[],"label_agreement":null},{"id":"W4409602054","doi":"10.61091/jcmcc127b-022","title":"Resource Allocation and Optimal Path Selection of Civic and Political Education Curriculum Based on Multi-Objective Optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Path (computing); Resource allocation; Politics; Curriculum; Resource (disambiguation); Computer science; Mathematical optimization; Political science; Operations research; Sociology; Artificial intelligence; Mathematics; Pedagogy; Computer network; Law","score_opus":0.0064145718653629835,"score_gpt":0.2567020772017447,"score_spread":0.2502875053363817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96621734,0.000037530288,0.029715862,0.00048565245,0.0016492284,0.0002596763,0.0000011059165,0.00001020972,0.0016233834],"genre_scores_gemma":[0.97764987,0.000007704894,0.022105189,0.000063128435,0.00014955568,0.0000029952612,0.0000028340821,0.000009047882,0.000009687252],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998777,0.000060843875,0.0005542059,0.00015810784,0.00030319547,0.00014667622],"domain_scores_gemma":[0.9988607,0.00025813904,0.00047351027,0.00008249703,0.0002364623,0.00008868523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066365884,0.00013668393,0.00025558795,0.00017090123,0.00020617938,0.00006742651,0.00008725148,0.00009335544,0.000009185338],"category_scores_gemma":[0.00046119466,0.00011896752,0.000037231395,0.00038679907,0.00011179911,0.00017316056,0.00007404274,0.00020616903,2.6056352e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057113328,0.0016087618,0.009205552,0.00013347533,0.000032673182,2.84482e-7,0.00048029167,0.005925167,0.0005485651,0.97933763,0.00022483428,0.0024456542],"study_design_scores_gemma":[0.004634014,0.0015316348,0.02278791,0.0009999992,0.00017283674,0.000035834346,0.0027736933,0.82190704,0.0018271834,0.14237049,0.00055784936,0.00040150457],"about_ca_topic_score_codex":0.000035994875,"about_ca_topic_score_gemma":3.8067864e-7,"teacher_disagreement_score":0.8369671,"about_ca_system_score_codex":0.00016652189,"about_ca_system_score_gemma":0.00015579638,"threshold_uncertainty_score":0.48513547},"labels":[],"label_agreement":null},{"id":"W4409602057","doi":"10.61091/jcmcc127b-069","title":"Research on Secure Communication Mechanisms in Wireless Sensor Networks for Industrial Control Systems","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wireless sensor network; Wireless; Computer network; Computer science; Control (management); Key distribution in wireless sensor networks; Telecommunications; Computer security; Wireless network; Artificial intelligence","score_opus":0.024580343007856484,"score_gpt":0.2847333217338987,"score_spread":0.2601529787260422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8749425,0.0011433433,0.08049253,0.00022480576,0.040635247,0.0014964447,0.0000064462542,0.000079440106,0.0009792936],"genre_scores_gemma":[0.9984279,0.000094463416,0.00041593102,0.0000111309855,0.0010066103,0.000012490987,0.0000014460819,0.00002617617,0.0000038527673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769616,0.00027894994,0.0009890302,0.0001565084,0.00048569802,0.00039362494],"domain_scores_gemma":[0.9960078,0.0028749907,0.00027338194,0.00025464225,0.0004876248,0.00010154613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040007345,0.00021493128,0.00068568526,0.00043876286,0.00028611338,0.0002279572,0.00045475177,0.00036492443,6.9656465e-7],"category_scores_gemma":[0.00032793582,0.00019890352,0.00010546137,0.00055374665,0.00007820272,0.000107263906,0.00008418589,0.001226759,4.6880558e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020941332,0.00024276249,0.0000393561,0.00026407794,0.000086319,0.0000069434564,0.0003525984,0.044684406,0.00018755085,0.9528136,0.0007245891,0.0003883413],"study_design_scores_gemma":[0.010481795,0.00065721787,0.000031106178,0.0023493734,0.000055517048,0.000017124734,0.0014462261,0.72125787,0.00046232878,0.26232263,0.0006473397,0.000271464],"about_ca_topic_score_codex":0.000009322545,"about_ca_topic_score_gemma":0.0000010859355,"teacher_disagreement_score":0.690491,"about_ca_system_score_codex":0.00018583899,"about_ca_system_score_gemma":0.0000999153,"threshold_uncertainty_score":0.811105},"labels":[],"label_agreement":null},{"id":"W4409602060","doi":"10.61091/jcmcc127b-035","title":"Quantitative assessment of gender differences in preschool education and the impact of educational methods based on cluster analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Human Health and Disease","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster (spacecraft); Psychology; Developmental psychology; Mathematics education; Computer science","score_opus":0.034178051188019476,"score_gpt":0.4348945071342961,"score_spread":0.40071645594627664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99192417,0.00043892072,0.004228623,0.00044978264,0.0013118186,0.00039638486,0.0000019832216,0.0000017881994,0.0012465334],"genre_scores_gemma":[0.9896365,0.000017943803,0.010149515,0.000051573577,0.00012866543,0.0000042709516,0.0000017779123,0.0000056232807,0.000004166693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980136,0.00041763694,0.0009893263,0.00011838514,0.0003387023,0.00012236157],"domain_scores_gemma":[0.9947487,0.003530892,0.0008959776,0.00016240166,0.00054337713,0.000118621036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022193054,0.00014074198,0.0008792587,0.0005622669,0.00007274319,0.0000323321,0.00010943609,0.0000695593,0.0000140538505],"category_scores_gemma":[0.0014507093,0.00008776605,0.00024361994,0.0005252379,0.00012382542,0.000049579576,0.000043787284,0.00028765755,4.2547345e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016636385,0.003112066,0.125379,0.00093896943,0.00073049986,6.0248766e-7,0.0011642925,0.00038678217,0.000055145876,0.8657914,0.00011706952,0.00066054217],"study_design_scores_gemma":[0.0116346665,0.0012939546,0.35893473,0.00084446796,0.0011209653,0.0000034229765,0.0006699916,0.15402597,0.000044701013,0.47131938,0.0000027112708,0.0001050432],"about_ca_topic_score_codex":0.00005647649,"about_ca_topic_score_gemma":4.324555e-7,"teacher_disagreement_score":0.39447203,"about_ca_system_score_codex":0.00009728,"about_ca_system_score_gemma":0.0015369572,"threshold_uncertainty_score":0.35789955},"labels":[],"label_agreement":null},{"id":"W4409602072","doi":"10.61091/jcmcc127b-016","title":"Charging station siting method based on variable neighborhood genetic algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genetic algorithm; Variable (mathematics); Computer science; Algorithm; Mathematics; Machine learning","score_opus":0.006693905843436335,"score_gpt":0.25480352437523035,"score_spread":0.24810961853179403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602072","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00853139,0.00017056277,0.982778,0.000061321254,0.0058670775,0.00022406764,0.0000054582547,0.00009149199,0.002270594],"genre_scores_gemma":[0.55071145,0.000021862332,0.4483232,0.000045376106,0.00084131537,0.000005800923,0.000002891444,0.00004250329,0.0000055961864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823886,0.000055977966,0.0008675405,0.00017663052,0.0003646214,0.0002963554],"domain_scores_gemma":[0.9981216,0.0008755768,0.00037200455,0.0002036076,0.00031254278,0.0001146678],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00078158017,0.00026169477,0.00052868517,0.0002650434,0.00026361732,0.00016044285,0.00023598853,0.000120617224,0.0000058379032],"category_scores_gemma":[0.00016624955,0.00025719486,0.00010272477,0.0005007935,0.000025368845,0.00012597974,0.00005501626,0.00045495373,0.0000013177888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019755053,0.00033687684,0.000028731169,0.00033011608,0.00013053487,0.000010748398,0.00026900292,0.13486272,0.0007641241,0.78113055,0.00016442117,0.0819524],"study_design_scores_gemma":[0.0016298578,0.00011967367,0.000032605476,0.0003311675,0.000059652382,0.000008985163,0.00010274673,0.6873971,0.0007194255,0.30889586,0.00053633086,0.00016655197],"about_ca_topic_score_codex":0.0000029611306,"about_ca_topic_score_gemma":3.1673697e-8,"teacher_disagreement_score":0.5525344,"about_ca_system_score_codex":0.00012706713,"about_ca_system_score_gemma":0.00009617223,"threshold_uncertainty_score":0.999988},"labels":[],"label_agreement":null},{"id":"W4409602086","doi":"10.61091/jcmcc127b-056","title":"Analyzing Traditional Cultural Elements and Style Integration Patterns in Dance Movements Based on Matrix Decomposition Technique","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diversity and Impact of Dance","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dance; Style (visual arts); Decomposition; Matrix (chemical analysis); Movement (music); Computer science; Visual arts; Aesthetics; Art; Materials science; Composite material; Chemistry","score_opus":0.0186294277892734,"score_gpt":0.3181780411475708,"score_spread":0.2995486133582974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97431016,0.000076722245,0.018685963,0.00013035643,0.0048847403,0.0003220771,0.000009113573,0.00001583289,0.0015650603],"genre_scores_gemma":[0.9972715,0.000012267165,0.002407475,0.000060178052,0.00021875052,0.00000405104,0.0000070313263,0.000009221197,0.000009559467],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99843585,0.00013197445,0.0007240042,0.00018290567,0.0003125032,0.00021274797],"domain_scores_gemma":[0.9987249,0.00034098641,0.00057346537,0.000119731594,0.0001634871,0.000077443125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094958127,0.0001925397,0.00040203557,0.0003514853,0.00017227093,0.00015148643,0.0001927828,0.00012404975,0.000016110944],"category_scores_gemma":[0.00011187274,0.00018119307,0.00007373062,0.00024376392,0.000043859352,0.00022977174,0.000061372455,0.00040161342,7.915605e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066612737,0.0025471875,0.021768985,0.0002527522,0.00018027563,0.000045018078,0.0016674121,0.00008006811,0.0027138859,0.9651314,0.0004749803,0.004471898],"study_design_scores_gemma":[0.041627295,0.0061099483,0.11851632,0.008959521,0.0003506433,0.000093915165,0.0054757656,0.035291404,0.0047320216,0.77705526,0.00044532435,0.0013425581],"about_ca_topic_score_codex":0.00002105548,"about_ca_topic_score_gemma":6.733192e-7,"teacher_disagreement_score":0.18807612,"about_ca_system_score_codex":0.00014319581,"about_ca_system_score_gemma":0.00004474123,"threshold_uncertainty_score":0.7388839},"labels":[],"label_agreement":null},{"id":"W4409602088","doi":"10.61091/jcmcc127b-027","title":"Research on Optimization Strategies for Functional Modules of Smart Home Products Based on Parameterization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Home automation; Embedded system; Computer architecture; Telecommunications","score_opus":0.048414653992525376,"score_gpt":0.3231717997331368,"score_spread":0.27475714574061144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602088","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25581592,0.000044484794,0.7278687,0.00049006887,0.014159692,0.0005113123,0.000002626129,0.000035413144,0.0010717867],"genre_scores_gemma":[0.9770271,0.000005409519,0.02257093,0.000025458812,0.0003429128,0.0000063935922,0.0000024252734,0.0000124328535,0.0000069353387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99780935,0.00012742555,0.0007601132,0.0002491913,0.0008090662,0.00024483746],"domain_scores_gemma":[0.99590665,0.0016900236,0.0005226717,0.00027280243,0.0015293679,0.00007849769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019090788,0.00017909343,0.00044444055,0.00045402415,0.00022513933,0.00039022526,0.00044815385,0.00010440753,6.814513e-7],"category_scores_gemma":[0.0005668637,0.00015392536,0.00010050255,0.0007542412,0.000085910375,0.00038236173,0.00012046239,0.00026697794,5.6612043e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025001538,0.00083122466,0.0000138231435,0.00036231804,0.0000403646,0.000001735141,0.00014024258,0.023369493,0.0002047312,0.97310674,0.00017900637,0.0015003277],"study_design_scores_gemma":[0.0025656214,0.003115988,0.00007548551,0.00088106736,0.000020266587,0.0000026056598,0.00016240613,0.4475496,0.0031570361,0.5422146,0.00011874464,0.00013659433],"about_ca_topic_score_codex":0.0000010720909,"about_ca_topic_score_gemma":3.2119306e-8,"teacher_disagreement_score":0.7212112,"about_ca_system_score_codex":0.00006609384,"about_ca_system_score_gemma":0.00038180186,"threshold_uncertainty_score":0.62768936},"labels":[],"label_agreement":null},{"id":"W4409602096","doi":"10.61091/jcmcc127b-024","title":"Research on image segmentation techniques based on algebraic topology methods in computer vision","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Computer vision; Segmentation; Artificial intelligence; Image segmentation; Algebraic number; Image (mathematics); Algebraic topology; Topology (electrical circuits); Mathematics; Pure mathematics; Combinatorics","score_opus":0.030734401580012286,"score_gpt":0.4078175744342267,"score_spread":0.37708317285421444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602096","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01202758,0.000051402112,0.979271,0.0014061412,0.004720589,0.0004296198,4.0691737e-7,0.00009613598,0.0019971004],"genre_scores_gemma":[0.57729095,0.000020930882,0.42215776,0.00018413545,0.00031593684,0.00000712211,7.0041233e-7,0.000014843502,0.0000076201045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99655515,0.0009108884,0.0010759499,0.00035801882,0.00074783637,0.00035216135],"domain_scores_gemma":[0.99539804,0.0027368725,0.00056235323,0.00044137568,0.00076405716,0.00009726748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068833604,0.00024231974,0.00058706634,0.0012576362,0.0002702482,0.00040202177,0.0008754524,0.00021729816,0.0000032675644],"category_scores_gemma":[0.00042765617,0.00020818162,0.00012867493,0.0012652072,0.00014439321,0.0002908753,0.00032204803,0.00090950733,0.0000022743366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108196225,0.0009445342,0.000016573787,0.00010787121,0.000016841532,0.000022124634,0.00020242274,0.000016369593,0.0050606662,0.9144475,0.00034652054,0.078710385],"study_design_scores_gemma":[0.002196235,0.0033426643,0.00015594225,0.0009229508,0.000012884276,0.0000149982425,0.00009047125,0.118396044,0.1041956,0.7699491,0.0004897224,0.0002334275],"about_ca_topic_score_codex":0.0000059868607,"about_ca_topic_score_gemma":1.2066424e-7,"teacher_disagreement_score":0.56526333,"about_ca_system_score_codex":0.00026011592,"about_ca_system_score_gemma":0.00022210588,"threshold_uncertainty_score":0.84894},"labels":[],"label_agreement":null},{"id":"W4409602102","doi":"10.61091/jcmcc127b-068","title":"Analysis of Natural Imagery in Tang Poetry Texts Based on Principal Component Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Principal component analysis; Poetry; Natural (archaeology); Component (thermodynamics); Artificial intelligence; Natural language processing; Computer science; Art; Literature; History; Archaeology; Physics","score_opus":0.01772523091626103,"score_gpt":0.32018509717480903,"score_spread":0.302459866258548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919327,0.00035897756,0.0033932738,0.00020729494,0.0028091213,0.00028694532,0.0000021042297,0.0000108421045,0.0009987645],"genre_scores_gemma":[0.9981319,0.000023046958,0.0015776828,0.000053715412,0.00018463422,0.0000015986907,0.000005179861,0.000013772875,0.000008490051],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969886,0.00012342635,0.0012721195,0.00020831655,0.0010780734,0.0003294904],"domain_scores_gemma":[0.9973801,0.0011188101,0.00051428383,0.00025384087,0.0004998933,0.00023309987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016424151,0.00022778935,0.0012748224,0.0012961406,0.00008805767,0.00004856612,0.00020324811,0.00013445687,0.000009603233],"category_scores_gemma":[0.0016113353,0.00017856956,0.00035058122,0.0011908605,0.00007886223,0.00006477038,0.00011888746,0.0006965271,5.1937616e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013085398,0.031060183,0.110519424,0.0058176243,0.01285292,0.0021669383,0.002375742,0.020604383,0.0063268594,0.77084845,0.00032725924,0.024014838],"study_design_scores_gemma":[0.013365651,0.0010818202,0.005065958,0.0023469317,0.0011346351,0.000012735714,0.00015911934,0.93903935,0.0006223736,0.036976255,0.000021943557,0.00017325657],"about_ca_topic_score_codex":0.00002139548,"about_ca_topic_score_gemma":7.8541393e-7,"teacher_disagreement_score":0.9184349,"about_ca_system_score_codex":0.00020869458,"about_ca_system_score_gemma":0.0003941198,"threshold_uncertainty_score":0.72818553},"labels":[],"label_agreement":null},{"id":"W4409602107","doi":"10.61091/jcmcc127b-062","title":"Research on the influence of nonlinear regression model of user data on sales strategy adjustment in cross-border e-commerce Wish platform","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wish; E-commerce; Nonlinear regression; Regression; Econometrics; Nonlinear system; Computer science; Regression analysis; Business; Economics; Marketing; Statistics; World Wide Web; Mathematics; Sociology; Machine learning; Physics","score_opus":0.07168209310907118,"score_gpt":0.3898191685139285,"score_spread":0.3181370754048573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951236,0.0000582169,0.00010068879,0.00083782064,0.0013117407,0.00029356204,0.0000048506377,0.000013670042,0.002255834],"genre_scores_gemma":[0.9990602,0.00003066703,0.00041097615,0.00012428613,0.0003338573,0.000002434051,0.0000058030764,0.000017582031,0.000014205794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975022,0.00004105111,0.0012492152,0.00021751803,0.00071671105,0.0002732732],"domain_scores_gemma":[0.9959389,0.0011549721,0.0010915986,0.00063958176,0.0011601179,0.000014845338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003402339,0.00020974985,0.00057518546,0.0007554383,0.00025911647,0.00013969583,0.0010358832,0.00020023552,0.0000049249725],"category_scores_gemma":[0.001055203,0.00014722226,0.00006831084,0.0012007342,0.00032571604,0.00048233694,0.00081430096,0.00096917496,0.0000018333761],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017554508,0.0009408506,0.0012070615,0.00028957962,0.000057417386,0.0000025875795,0.00008351137,0.0034362664,0.00039656184,0.9918986,0.0006244525,0.0008875817],"study_design_scores_gemma":[0.005106496,0.00044314627,0.0055605182,0.004069749,0.00008730611,0.000003314937,0.0017682946,0.07853408,0.00083260034,0.90253186,0.00078165444,0.0002809824],"about_ca_topic_score_codex":0.0000636091,"about_ca_topic_score_gemma":0.0000051492825,"teacher_disagreement_score":0.08936673,"about_ca_system_score_codex":0.000050059138,"about_ca_system_score_gemma":0.00015073748,"threshold_uncertainty_score":0.60035497},"labels":[],"label_agreement":null},{"id":"W4409602108","doi":"10.61091/jcmcc127b-049","title":"Optimization of Civic Education Teaching Strategies Based on Reinforcement Learning and Its Numerical Simulation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Reinforcement; Mathematics education; Computer science; Psychology; Artificial intelligence; Social psychology","score_opus":0.015430548804075041,"score_gpt":0.3357901512513345,"score_spread":0.3203596024472595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74295485,0.00032627542,0.1998935,0.0015725908,0.013625794,0.00068891584,4.770178e-7,0.000057066216,0.04088055],"genre_scores_gemma":[0.9975958,0.000016768387,0.001844345,0.000042837746,0.00046476314,0.0000012183564,0.0000012351785,0.0000058598757,0.000027163805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846035,0.00027400252,0.00061007944,0.00010590104,0.00038543754,0.00016421726],"domain_scores_gemma":[0.9974332,0.0013740639,0.0005654716,0.000052682484,0.0004788164,0.00009575157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014873056,0.00011503915,0.00031222746,0.00017256726,0.00044136235,0.00013877383,0.00010931355,0.00011904866,0.00001211597],"category_scores_gemma":[0.002335718,0.00010253857,0.000058504906,0.00019855314,0.00006958749,0.00018012345,0.00003850601,0.00032774004,2.5783578e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042693766,0.00028122545,0.00013584584,0.00010829909,0.00001301421,2.194485e-7,0.0017976664,0.113677636,0.000018482424,0.8823532,0.000011041794,0.001560716],"study_design_scores_gemma":[0.0012661535,0.00067626167,0.0001336725,0.00065284263,0.00007739322,8.403787e-7,0.0045991777,0.6546416,0.00007950042,0.3366957,0.0010197309,0.00015708237],"about_ca_topic_score_codex":0.00003902367,"about_ca_topic_score_gemma":2.139527e-7,"teacher_disagreement_score":0.54565746,"about_ca_system_score_codex":0.00008939452,"about_ca_system_score_gemma":0.0005339932,"threshold_uncertainty_score":0.41814017},"labels":[],"label_agreement":null},{"id":"W4409602109","doi":"10.61091/jcmcc127b-021","title":"Using Logistic Regression Modeling to Analyze Barriers and Facilitators to Social Integration of Foreign Immigrants","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Jilin Province; People's Government of Jilin Province","keywords":"Logistic regression; Immigration; Demographic economics; Political science; Statistics; Mathematics; Economics","score_opus":0.03399493739031236,"score_gpt":0.34107455718051893,"score_spread":0.3070796197902066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90044737,0.00006554345,0.09541969,0.00024852488,0.0031269698,0.00026416848,0.0000047517246,0.000013163004,0.00040983697],"genre_scores_gemma":[0.9934759,0.00001980652,0.0061286907,0.00004324701,0.00030999567,9.4310684e-7,5.5427085e-7,0.000010258494,0.0000106063235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99794143,0.00019404199,0.0009056131,0.00017086537,0.0005449034,0.00024313765],"domain_scores_gemma":[0.9980451,0.00030286924,0.0004861474,0.00009889378,0.00081197603,0.00025504007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020777984,0.00017872616,0.00057477795,0.00038689264,0.0006214475,0.0001589886,0.00023203544,0.00015762592,0.000004476183],"category_scores_gemma":[0.00199952,0.00015927812,0.00010529053,0.0007338429,0.00010038212,0.00015095525,0.00011757626,0.00023185748,2.3598629e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012592344,0.00007250982,0.00039061,0.00009129246,0.0000543867,0.0000021341493,0.025438594,0.0012408833,0.0013134982,0.9694319,0.000100605015,0.0017376965],"study_design_scores_gemma":[0.0024948095,0.00044750015,0.0001001172,0.0013426068,0.00021220438,0.000004322638,0.048604902,0.27722326,0.0003524489,0.6684688,0.00035257897,0.00039650867],"about_ca_topic_score_codex":0.00023188113,"about_ca_topic_score_gemma":0.000043907145,"teacher_disagreement_score":0.3009631,"about_ca_system_score_codex":0.0001453636,"about_ca_system_score_gemma":0.00030382024,"threshold_uncertainty_score":0.64951736},"labels":[],"label_agreement":null},{"id":"W4409602112","doi":"10.61091/jcmcc127b-020","title":"Designing Novel Biofuels Using Generative Adversarial Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biofuel; Adversarial system; Generative grammar; Computer science; Generative adversarial network; Biochemical engineering; Artificial intelligence; Biotechnology; Engineering; Biology; Deep learning","score_opus":0.010601869521252829,"score_gpt":0.23362088601250205,"score_spread":0.22301901649124922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602112","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30938283,0.0009858329,0.6585418,0.00002048358,0.030409627,0.00019854895,0.0000018221538,0.00007516843,0.00038393587],"genre_scores_gemma":[0.95878375,0.00008407517,0.039595477,0.000011957726,0.0014839986,0.0000010607698,8.050633e-7,0.000037202506,0.0000016832449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981979,0.000037876984,0.0009684107,0.00016101422,0.00029742558,0.00033738225],"domain_scores_gemma":[0.99824196,0.00078782934,0.0002903088,0.00018580249,0.0003565331,0.00013756388],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009813906,0.00030315696,0.0006837275,0.00022719655,0.00020089844,0.00017621662,0.00027214046,0.00023402083,0.0000022171437],"category_scores_gemma":[0.00040974564,0.0002845301,0.0001618907,0.00038773395,0.000069885886,0.00013847047,0.00012604968,0.0005823227,3.266906e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005702752,0.00046356692,0.00025375938,0.0005770612,0.0005720572,0.000023224393,0.00066490157,0.5054789,0.016660197,0.4736717,0.00027185964,0.0013057116],"study_design_scores_gemma":[0.0036249708,0.00019824544,0.00005097638,0.00075645227,0.00021373421,0.000034873054,0.00013298113,0.87326264,0.0048435275,0.11603453,0.0004608934,0.00038619275],"about_ca_topic_score_codex":0.0000048980287,"about_ca_topic_score_gemma":1.2617485e-7,"teacher_disagreement_score":0.64940095,"about_ca_system_score_codex":0.00015583259,"about_ca_system_score_gemma":0.00009875826,"threshold_uncertainty_score":0.99996066},"labels":[],"label_agreement":null},{"id":"W4409602113","doi":"10.61091/jcmcc127b-057","title":"Decision Tree-Based Modeling in Mental Health Early Warning System for Higher Education Students","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mental health; Decision tree; Warning system; Psychology; Mental model; Tree (set theory); Computer science; Decision tree learning; Medical education; Artificial intelligence; Medicine; Psychiatry; Mathematics; Cognitive science","score_opus":0.08145641225157758,"score_gpt":0.44945875141959435,"score_spread":0.3680023391680168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9269845,0.0005855259,0.015940301,0.00077193126,0.05385418,0.0015568198,0.0000031134116,0.0000412919,0.00026234853],"genre_scores_gemma":[0.99361664,0.000018087536,0.004927689,0.00014312261,0.0012040844,0.000028042397,0.0000032482005,0.00003535685,0.000023737692],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99549913,0.0004318772,0.0026051563,0.00026717508,0.00066742743,0.000529218],"domain_scores_gemma":[0.995194,0.0019543553,0.001485362,0.00022645897,0.00093717687,0.00020260151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043975646,0.00025774745,0.00090439426,0.00050618814,0.0010290582,0.00009211716,0.00044904114,0.0002682949,0.0000036567017],"category_scores_gemma":[0.00054410804,0.00024076777,0.00014683923,0.00044587537,0.00003087663,0.00016369676,0.00017765573,0.00085135375,0.0000023602404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012067119,0.0015411142,0.037779793,0.0044720257,0.00009587671,0.0000041964217,0.009573531,0.0014037895,0.00008411641,0.9238907,0.0007229711,0.019225135],"study_design_scores_gemma":[0.011423491,0.0016200172,0.0014793584,0.029375056,0.00009653987,0.0000043567725,0.015051942,0.3559919,0.00010969093,0.5826412,0.0016450522,0.00056139205],"about_ca_topic_score_codex":0.00028067315,"about_ca_topic_score_gemma":0.000017325327,"teacher_disagreement_score":0.3545881,"about_ca_system_score_codex":0.001156017,"about_ca_system_score_gemma":0.0016569027,"threshold_uncertainty_score":0.98182243},"labels":[],"label_agreement":null},{"id":"W4409602114","doi":"10.61091/jcmcc127b-048","title":"A Study on Optimizing Student Stratification Management in English Teaching Based on K-mean Clustering Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Stratification (seeds); Computer science; Algorithm; Mathematics education; Artificial intelligence; Mathematics","score_opus":0.0210146775653761,"score_gpt":0.32284538641803334,"score_spread":0.3018307088526572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62098694,0.00005981296,0.34484518,0.00070773007,0.024390955,0.0010589017,6.0859026e-7,0.00014317241,0.007806711],"genre_scores_gemma":[0.9514628,0.0000042023416,0.048128102,0.00006813051,0.00030848908,0.000008724017,4.848421e-7,0.000011453567,0.0000076050087],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99760765,0.00023683299,0.0009636324,0.00033305888,0.0005968021,0.0002620056],"domain_scores_gemma":[0.9978693,0.00082685234,0.00056642026,0.0004315341,0.00023464156,0.0000712472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002707967,0.00024593822,0.000472328,0.0007304545,0.00029803882,0.0003091867,0.0009027388,0.00011902971,7.409079e-7],"category_scores_gemma":[0.00019273166,0.00023485007,0.000083920066,0.0004390594,0.000031282147,0.00019062193,0.0002855495,0.00080771034,8.1495097e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037403355,0.0035620667,0.00040171287,0.00005783651,0.00008975259,0.000045722423,0.0060999934,0.0021200692,0.0000147395995,0.9713858,0.00003926721,0.016145678],"study_design_scores_gemma":[0.015831118,0.0045731156,0.007089014,0.0022446131,0.0001408189,0.00002145755,0.018393088,0.34463722,0.00029196072,0.6057221,0.00027338054,0.00078206643],"about_ca_topic_score_codex":0.0000036677623,"about_ca_topic_score_gemma":5.9599984e-7,"teacher_disagreement_score":0.36566362,"about_ca_system_score_codex":0.00019447542,"about_ca_system_score_gemma":0.00011968751,"threshold_uncertainty_score":0.95769083},"labels":[],"label_agreement":null},{"id":"W4409602115","doi":"10.61091/jcmcc127b-067","title":"A Multimedia Technology-Driven Vocal Music Teaching System Architecture and Effectiveness Assessment Model Based on Fuzzy Comprehensive Evaluation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multimedia; Computer science; Architecture; Fuzzy logic; Vocal music; Artificial intelligence; Music education; Psychology; Pedagogy; Visual arts; Art; Music","score_opus":0.02022468721979728,"score_gpt":0.3226158061496422,"score_spread":0.30239111892984494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54995555,0.0001815009,0.44089514,0.0007708953,0.006859575,0.00054928404,0.0000012560043,0.00010732074,0.00067945913],"genre_scores_gemma":[0.91760087,0.0000032605494,0.08210425,0.000050237562,0.00021270089,0.000012979361,0.0000012587416,0.000013266554,0.000001148948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99753225,0.00042115312,0.0007330734,0.00036931052,0.0006640492,0.00028017236],"domain_scores_gemma":[0.996103,0.001966698,0.00068448036,0.0003912049,0.0007510573,0.00010356943],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024544701,0.00030334704,0.0006893113,0.0007732227,0.00050130946,0.0001823924,0.0006649646,0.00032576744,4.2454514e-7],"category_scores_gemma":[0.0004995519,0.00027030037,0.00010683237,0.00044490595,0.0001466801,0.00015423734,0.00034389924,0.0011407323,4.925702e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047667127,0.0004201986,0.00040481662,0.0003473887,0.00009222153,0.000008175603,0.00047231422,0.007382874,0.000649911,0.97804564,0.00003102487,0.012097756],"study_design_scores_gemma":[0.0026442243,0.00035604832,0.0005112952,0.0008162737,0.00007124752,0.000037612434,0.00022283061,0.57006913,0.00018291298,0.42492566,0.000018230361,0.00014452754],"about_ca_topic_score_codex":0.0000035673208,"about_ca_topic_score_gemma":2.574348e-7,"teacher_disagreement_score":0.56268626,"about_ca_system_score_codex":0.00026903098,"about_ca_system_score_gemma":0.0006440947,"threshold_uncertainty_score":0.9999749},"labels":[],"label_agreement":null},{"id":"W4409602117","doi":"10.61091/jcmcc127b-029","title":"Machine Learning Strategies and Realization Paths for Internal Audit Quality Improvement Enabled by New Quality Productivity","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Quality (philosophy); Realization (probability); Computer science; Quality audit; Quality management; Audit; Business; Accounting; Marketing; Economics; Mathematics; Statistics","score_opus":0.03428498977765097,"score_gpt":0.3119632741148657,"score_spread":0.2776782843372147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71705395,0.00092372193,0.26445478,0.0010436302,0.014237253,0.0008169941,0.000008808332,0.00008627975,0.0013745615],"genre_scores_gemma":[0.99706864,0.000053700292,0.00072878523,0.00006408773,0.001974769,0.0000034186103,0.00001661925,0.000021445609,0.000068536036],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99769306,0.000054687647,0.0012221641,0.00030888044,0.000438416,0.00028276708],"domain_scores_gemma":[0.99683326,0.00046197066,0.0016719598,0.00018865822,0.0008026899,0.00004147449],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0030308834,0.00028609615,0.0007046884,0.00019724299,0.00038987683,0.0011211223,0.0003220878,0.00013036148,0.000007986118],"category_scores_gemma":[0.0016924349,0.0002503162,0.000108986336,0.00034299324,0.00009962088,0.0011961086,0.0003537345,0.00036688338,5.656697e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003003414,0.00036397576,0.0015288285,0.0014282399,0.00010726859,0.0000011010228,0.00016372178,0.000040752406,0.0024427725,0.97690016,0.0012241944,0.015498654],"study_design_scores_gemma":[0.00448813,0.00024211327,0.0005558322,0.00060918875,0.00018848956,0.000005447612,0.0010615672,0.009776081,0.0011982955,0.9633949,0.018057277,0.00042271643],"about_ca_topic_score_codex":0.00082419906,"about_ca_topic_score_gemma":0.000013153974,"teacher_disagreement_score":0.28001466,"about_ca_system_score_codex":0.00006192643,"about_ca_system_score_gemma":0.000162485,"threshold_uncertainty_score":0.99999493},"labels":[],"label_agreement":null},{"id":"W4409602118","doi":"10.61091/jcmcc127b-037","title":"An overall structural performance modeling and multi-objective optimization design method for Huizhou architecture based on BIM platform","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Architecture; Computer science; Building information modeling; Engineering; Systems engineering; Operations management","score_opus":0.015018149701936162,"score_gpt":0.2625219125733996,"score_spread":0.24750376287146342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602118","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1596802,0.00006866522,0.835135,0.000016039428,0.00468875,0.000294843,0.0000020482667,0.000048776423,0.00006568707],"genre_scores_gemma":[0.70335233,0.000008986042,0.29632968,0.000014714125,0.00026803336,0.0000038306366,0.000001856204,0.000019872332,6.840529e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877876,0.00005428222,0.00059661036,0.00015826865,0.00022040757,0.00019168173],"domain_scores_gemma":[0.998799,0.00041448133,0.00023392425,0.00012267078,0.000344257,0.00008566363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007115412,0.00024063131,0.00042006545,0.00027529945,0.00026859494,0.0001866606,0.00014090571,0.00016664638,0.000001646015],"category_scores_gemma":[0.00011447415,0.00021050102,0.00007886077,0.0001588282,0.000028136183,0.00023018169,0.000020658072,0.00036173034,5.29582e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018476482,0.00005085215,0.000019559227,0.0001868284,0.000055459488,4.7555366e-7,0.000336036,0.8715294,0.00023767716,0.11693519,0.0000069287485,0.010456833],"study_design_scores_gemma":[0.0032945352,0.0005142653,0.0000135697055,0.00027403276,0.00006522302,0.000015110112,0.00012196078,0.8702265,0.0010194298,0.124275014,0.0000072157995,0.00017312852],"about_ca_topic_score_codex":0.000002437278,"about_ca_topic_score_gemma":2.4195145e-7,"teacher_disagreement_score":0.54367214,"about_ca_system_score_codex":0.00009215767,"about_ca_system_score_gemma":0.00007819207,"threshold_uncertainty_score":0.85839826},"labels":[],"label_agreement":null},{"id":"W4409602120","doi":"10.61091/jcmcc127b-064","title":"Quantitative Measurement of Differential Efficiency of Digital Transformation on International Trade of Developing Countries Based on DEA Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"Transformation (genetics); Differential (mechanical device); Developing country; Computer science; Econometrics; International trade; Economics; Biology; Physics; Economic growth; Thermodynamics","score_opus":0.03655867884252789,"score_gpt":0.24431973359816858,"score_spread":0.2077610547556407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81436425,0.00007723413,0.1702667,0.00027044557,0.0043711993,0.00021970799,0.000028928263,0.0000069910816,0.010394543],"genre_scores_gemma":[0.99882555,0.000029865514,0.0010745011,0.000009922402,0.00004534525,9.321124e-7,0.000004224139,0.000008733337,9.208881e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975581,0.000014646181,0.0019358152,0.00011677,0.0002492633,0.00012541017],"domain_scores_gemma":[0.9980206,0.00025943358,0.0013723143,0.00008910722,0.00022535196,0.000033187876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009842645,0.00015936744,0.00065856247,0.000490964,0.000061479266,0.00007173357,0.00022163078,0.00008114391,0.0000036570948],"category_scores_gemma":[0.00022105784,0.00015998719,0.00015842292,0.00015032449,0.000052895157,0.00030256822,0.000023486948,0.00012838082,4.9888587e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030421984,0.00042517157,0.00034193872,0.00040759522,0.00011591462,2.2958686e-7,0.0012623423,0.0022388843,0.000052269523,0.99450225,0.000005862259,0.0003433185],"study_design_scores_gemma":[0.0077811875,0.0013259928,0.00043045564,0.0022172206,0.000048797367,0.0000016822414,0.00049731194,0.4397542,0.008060587,0.5393638,0.00019852669,0.00032027124],"about_ca_topic_score_codex":0.000003071309,"about_ca_topic_score_gemma":1.5092552e-7,"teacher_disagreement_score":0.45513844,"about_ca_system_score_codex":0.00012888735,"about_ca_system_score_gemma":0.0001258468,"threshold_uncertainty_score":0.65240884},"labels":[],"label_agreement":null},{"id":"W4409602123","doi":"10.61091/jcmcc127b-053","title":"A study of digital literacy enhancement paths for physical education teachers in vocational undergraduate colleges based on multiple linear regression modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Mathematics education; Linear regression; Regression analysis; Psychology; Medical education; Computer science; Pedagogy; Machine learning; Medicine","score_opus":0.027194153038351702,"score_gpt":0.36249883341206734,"score_spread":0.33530468037371564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904057,0.000028393095,0.0033913227,0.00076895906,0.003900726,0.0005703651,0.0000015836573,0.000007824617,0.00092512777],"genre_scores_gemma":[0.99832344,0.000004017606,0.00096206117,0.000026246644,0.0006401845,0.000012510674,0.0000027049105,0.0000071695117,0.000021692269],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99832696,0.00015957197,0.0007117556,0.00015163762,0.0004552841,0.00019480879],"domain_scores_gemma":[0.9966355,0.002097566,0.0004452418,0.0000988622,0.00063577306,0.00008703796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010171635,0.0001375624,0.00040849068,0.0002015472,0.0002507639,0.0001011174,0.00018643183,0.000073301184,9.856217e-7],"category_scores_gemma":[0.0026835087,0.000112820926,0.00009700569,0.00030811963,0.00006374803,0.0001572228,0.000041663687,0.00022038679,2.2255233e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003584459,0.012156849,0.0019733154,0.00015270361,0.000038537277,9.365808e-7,0.022692064,0.0010232991,0.00004237616,0.95518786,0.00006462481,0.006308982],"study_design_scores_gemma":[0.0047936267,0.0015766318,0.00021331465,0.0009168487,0.00006045425,4.0671623e-7,0.012447876,0.14622428,0.00014305135,0.8332353,0.00021934163,0.00016885281],"about_ca_topic_score_codex":0.000058684636,"about_ca_topic_score_gemma":0.000002890219,"teacher_disagreement_score":0.14520098,"about_ca_system_score_codex":0.00016275696,"about_ca_system_score_gemma":0.0006783575,"threshold_uncertainty_score":0.46007037},"labels":[],"label_agreement":null},{"id":"W4409602124","doi":"10.61091/jcmcc127b-046","title":"Intelligent English Classroom Interaction Design and Teaching Method Optimization Based on Deep Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Computer science; Reinforcement; Mathematics education; Human–computer interaction; Artificial intelligence; Psychology; Social psychology","score_opus":0.02143192872466197,"score_gpt":0.31638659692992727,"score_spread":0.2949546682052653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042715943,0.000077964294,0.98342687,0.0004534388,0.010103172,0.00020544708,3.7044668e-8,0.00006329222,0.0013981678],"genre_scores_gemma":[0.73248255,0.000019950414,0.2671084,0.00006749262,0.00030024725,0.0000025942536,6.8675206e-7,0.000009051187,0.000009031981],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805075,0.00037513833,0.00077683065,0.00023838859,0.0003498629,0.00020902025],"domain_scores_gemma":[0.9960671,0.0024332358,0.0007414473,0.00020653584,0.00046442784,0.000087255496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029449656,0.0002099597,0.0004064174,0.00044306443,0.00042799034,0.0002903052,0.000418763,0.0001733654,0.0000030859699],"category_scores_gemma":[0.0015330479,0.00019660646,0.000078849,0.0002118967,0.000039155373,0.00029411507,0.00020845323,0.0008925936,4.5449983e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047638143,0.00018194698,0.000048904145,0.00004972447,0.00004226535,0.0000023872408,0.00092480826,0.29500222,0.00002461573,0.6967008,0.00004168228,0.0069330153],"study_design_scores_gemma":[0.0011497616,0.00065480056,0.000010944908,0.00031815094,0.000037022648,0.000014592245,0.00036573538,0.81710815,0.00050712464,0.17917937,0.0005164023,0.00013795766],"about_ca_topic_score_codex":0.0000030736528,"about_ca_topic_score_gemma":4.9022418e-8,"teacher_disagreement_score":0.7282109,"about_ca_system_score_codex":0.00013064155,"about_ca_system_score_gemma":0.00017226928,"threshold_uncertainty_score":0.80173784},"labels":[],"label_agreement":null},{"id":"W4409602125","doi":"10.61091/jcmcc127b-036","title":"Evaluation and Legal Compliance Framework Design of Public Safety Public Opinion Incident Response System Based on Hierarchical Analysis Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Compliance (psychology); Public opinion; Incident response; Computer science; Political science; Business; Computer security; Psychology; Law; Social psychology","score_opus":0.0468340613173235,"score_gpt":0.3153745985836248,"score_spread":0.26854053726630134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5505092,0.00009617669,0.4426368,0.00096656044,0.0036218283,0.0005194741,0.000003400792,0.000017393222,0.0016291552],"genre_scores_gemma":[0.977864,0.000008165582,0.021909215,0.00003511131,0.00015938673,0.000006258588,0.0000039272963,0.000010383184,0.0000035288151],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964308,0.0006571192,0.0011361381,0.0002419387,0.0013042088,0.00022975399],"domain_scores_gemma":[0.9962555,0.0017858504,0.0009908575,0.00026551427,0.00056004355,0.00014223598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010566595,0.00019615462,0.0005738181,0.00045731623,0.00038461012,0.0002020253,0.00032066603,0.00014884581,0.000016223928],"category_scores_gemma":[0.0028925398,0.00016243571,0.00012457675,0.0015544612,0.00017369255,0.00025850168,0.00017109087,0.00041299782,7.740432e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003054436,0.00090139324,0.0021950896,0.00012993236,0.00024002368,9.653571e-7,0.0002522411,0.006403811,0.0001792506,0.9866671,0.0000657366,0.002659009],"study_design_scores_gemma":[0.0029646263,0.00075749826,0.020910006,0.0005841288,0.00037877174,0.00001703513,0.0006481841,0.78075975,0.00010282036,0.19223773,0.0003746393,0.0002648209],"about_ca_topic_score_codex":0.000012049547,"about_ca_topic_score_gemma":1.908718e-7,"teacher_disagreement_score":0.79442936,"about_ca_system_score_codex":0.00053465716,"about_ca_system_score_gemma":0.0003750172,"threshold_uncertainty_score":0.6623936},"labels":[],"label_agreement":null},{"id":"W4409602126","doi":"10.61091/jcmcc127b-039","title":"Multi-level information extraction based on convolutional neural network and its optimal training method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hubei Provincial Department of Education","keywords":"Computer science; Convolutional neural network; Training (meteorology); Extraction (chemistry); Information extraction; Artificial neural network; Artificial intelligence; Machine learning; Pattern recognition (psychology); Data mining; Geography; Chromatography","score_opus":0.039674503375130094,"score_gpt":0.3351540820495817,"score_spread":0.2954795786744516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602126","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012746329,0.00009226622,0.9826644,0.0006349955,0.003315584,0.0002594238,0.000002460197,0.00006778698,0.00021677508],"genre_scores_gemma":[0.56483513,0.000006746185,0.43475762,0.00014717186,0.00023791086,0.0000046273303,0.000001729995,0.000006134779,0.0000029422029],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816126,0.00009846521,0.00085752254,0.00019687595,0.00043677384,0.00024912503],"domain_scores_gemma":[0.9972387,0.0010869645,0.00080431247,0.00016471211,0.00058762653,0.00011768832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012405326,0.00021888567,0.0004099738,0.00024795256,0.00042512582,0.00029091435,0.00039068802,0.00012226721,0.0000010249694],"category_scores_gemma":[0.00027663654,0.00020905936,0.000099266515,0.0004497669,0.000035222514,0.0006988507,0.0001818781,0.0004314763,7.00364e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034330376,0.0001490377,0.0000090048625,0.000049649734,0.000027138694,0.000002395257,0.0002338239,0.035549473,0.00011651689,0.9495397,0.00009792665,0.0141909905],"study_design_scores_gemma":[0.0017543061,0.0002258962,0.0002656091,0.00017415498,0.000021931168,0.00004045604,0.000045562876,0.7623246,0.00015022345,0.23415838,0.0006920041,0.00014690407],"about_ca_topic_score_codex":0.0000011500804,"about_ca_topic_score_gemma":5.0591293e-8,"teacher_disagreement_score":0.7267751,"about_ca_system_score_codex":0.000083034036,"about_ca_system_score_gemma":0.00019352394,"threshold_uncertainty_score":0.85251933},"labels":[],"label_agreement":null},{"id":"W4409602127","doi":"10.61091/jcmcc127b-018","title":"Virtual Reality in Chinese Modern Video Art and Cultural Design Application","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Virtual reality; Computer science; Art; Computer graphics (images); Human–computer interaction; Multimedia","score_opus":0.018267146810166987,"score_gpt":0.2946959152815709,"score_spread":0.2764287684714039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602127","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4614166,0.0002132803,0.5316878,0.00039969973,0.0051148827,0.0002883563,4.6197894e-7,0.00003959501,0.0008393464],"genre_scores_gemma":[0.99280006,0.000038262555,0.0068457555,0.000036624704,0.00025423028,0.0000036983986,5.925286e-7,0.000009246636,0.000011528163],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99802166,0.00011779305,0.0009063999,0.0002763526,0.0004182939,0.00025948725],"domain_scores_gemma":[0.9980763,0.00074110937,0.00048671258,0.00025452054,0.00029525376,0.00014608906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015942404,0.00023641367,0.0005853998,0.00018760038,0.00014040405,0.00041741633,0.0005310817,0.000119065255,3.356229e-7],"category_scores_gemma":[0.00038567168,0.00019134258,0.00007938272,0.00052336877,0.00007694917,0.00066383975,0.0003948009,0.00034208808,0.0000014960567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064143795,0.00046316886,0.00044499087,0.000104829676,0.00004357369,0.000013780791,0.0013059543,0.00011863901,0.0005437078,0.9774813,0.00018858498,0.019227337],"study_design_scores_gemma":[0.0026286794,0.00041866626,0.00080244563,0.0003397091,0.000018741148,0.000038855593,0.00010097849,0.16391808,0.0002394502,0.83108056,0.00021964083,0.00019422188],"about_ca_topic_score_codex":0.0000050656936,"about_ca_topic_score_gemma":3.9991411e-7,"teacher_disagreement_score":0.53138345,"about_ca_system_score_codex":0.00007148662,"about_ca_system_score_gemma":0.00012014091,"threshold_uncertainty_score":0.78027236},"labels":[],"label_agreement":null},{"id":"W4409602133","doi":"10.61091/jcmcc127b-025","title":"Multimodal Data Mining and Learning Behavior Analysis for Civic Education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data science; Computer science; Psychology","score_opus":0.02313495430035962,"score_gpt":0.33318807446963833,"score_spread":0.3100531201692787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67762244,0.0005614143,0.31154084,0.00072815124,0.008967095,0.00030256368,0.0000016897088,0.00004597035,0.00022981885],"genre_scores_gemma":[0.85420966,0.000020166835,0.1454327,0.000025738502,0.00027356046,0.000006611619,0.000004821442,0.0000067855603,0.000019969659],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99847144,0.00008628432,0.0006889014,0.0002965147,0.00026011973,0.00019675291],"domain_scores_gemma":[0.99724287,0.0011408533,0.00067813625,0.0003822032,0.00047165487,0.00008428209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001815743,0.00016962909,0.000489237,0.00048888644,0.00043098693,0.00028836532,0.0008683546,0.0001282594,8.8081777e-7],"category_scores_gemma":[0.00068889925,0.0001622495,0.00009187238,0.0006617434,0.00005908895,0.0003668874,0.00060439925,0.0003187957,1.2334755e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013492583,0.00068691006,0.0085302405,0.000110927525,0.00035604739,0.0000017340827,0.0006852241,0.00002231478,0.00011257609,0.95844334,0.00020850895,0.030828657],"study_design_scores_gemma":[0.0045785927,0.00077366136,0.011381397,0.0005426146,0.0017560644,0.00006757785,0.0026033695,0.23230511,0.0003643317,0.74241585,0.002639365,0.00057205855],"about_ca_topic_score_codex":0.000007169805,"about_ca_topic_score_gemma":6.9676327e-7,"teacher_disagreement_score":0.2322828,"about_ca_system_score_codex":0.00005147197,"about_ca_system_score_gemma":0.0004321406,"threshold_uncertainty_score":0.66163427},"labels":[],"label_agreement":null},{"id":"W4409602134","doi":"10.61091/jcmcc127b-045","title":"Design of Interactive Control System for Agricultural Machines Based on AR and Deep Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Computer science; Control (management); Agriculture; Human–computer interaction; Artificial intelligence; Reinforcement; Engineering; Geography","score_opus":0.009904488413883266,"score_gpt":0.23448180369667096,"score_spread":0.22457731528278768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602134","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37245402,0.00015482775,0.61079115,0.0012711962,0.010853081,0.0013438204,9.764153e-7,0.00011208298,0.0030188703],"genre_scores_gemma":[0.9977825,0.0000023703763,0.0015904892,0.0000852982,0.0005124929,0.0000069585526,0.0000021644237,0.000013125222,0.000004570321],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859977,0.00002955477,0.0008270552,0.0001348899,0.0002303832,0.00017834254],"domain_scores_gemma":[0.9968248,0.0009786021,0.0012675371,0.000105692,0.0008089463,0.000014404923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010399221,0.00020237186,0.0005791308,0.00041389262,0.00030015002,0.00016075304,0.00020199339,0.00011782741,0.0000014704639],"category_scores_gemma":[0.00062839495,0.00015895284,0.000095325755,0.00034769374,0.00007345372,0.00023466541,0.000092446804,0.00032406108,4.3786474e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030655815,0.00019679079,0.0004219152,0.00070612115,0.00015625318,0.0000022518257,0.00009398359,0.0049992953,0.0005979584,0.9914559,0.00009565717,0.0009673102],"study_design_scores_gemma":[0.014100615,0.00082143635,0.00032431353,0.0020797113,0.0005070077,0.000011217782,0.0020207162,0.7835467,0.0007837995,0.19507891,0.00038035258,0.00034521514],"about_ca_topic_score_codex":0.000010819531,"about_ca_topic_score_gemma":2.0267048e-7,"teacher_disagreement_score":0.796377,"about_ca_system_score_codex":0.000051396844,"about_ca_system_score_gemma":0.000034842833,"threshold_uncertainty_score":0.6481909},"labels":[],"label_agreement":null},{"id":"W4409602136","doi":"10.61091/jcmcc127b-058","title":"Spatial Distribution Patterns of Urban Historic Building Groups Combined with Algebraic Geometry and Their Planning and Design Strategies Research","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Jilin Province; People's Government of Jilin Province","keywords":"Geometry; Distribution (mathematics); Spatial distribution; Geography; Mathematics education; Regional science; Architectural engineering; Mathematics; Engineering; Remote sensing; Mathematical analysis","score_opus":0.022331838491171815,"score_gpt":0.2572272856467368,"score_spread":0.23489544715556498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685586,0.001371525,0.027298264,0.000047830552,0.0023646224,0.00019890525,0.0000061442374,0.000014760902,0.00013934396],"genre_scores_gemma":[0.99845093,0.00008083078,0.0011104101,0.0000042378397,0.00033764663,1.2631935e-7,0.000005428657,0.000007848628,0.0000025610027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980967,0.00026526692,0.0006605767,0.0002158317,0.0004444983,0.00031713],"domain_scores_gemma":[0.99708605,0.0017457334,0.000514842,0.00014133977,0.00036953235,0.00014247636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002280454,0.00023058023,0.00063582644,0.00030234703,0.00041794666,0.00028643754,0.00018586422,0.00013442953,0.000002834638],"category_scores_gemma":[0.00025379568,0.00016277416,0.00005104222,0.00037939698,0.00016469092,0.00020656911,0.000064596155,0.00051397167,1.04299545e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004452373,0.00094781874,0.24441652,0.0031507546,0.0010522982,0.00018623575,0.014837409,0.0016763515,0.0014377453,0.6571715,0.00046740827,0.0702036],"study_design_scores_gemma":[0.01099175,0.0090772705,0.10612435,0.004427988,0.00028254336,0.00030367033,0.008233447,0.08470879,0.0017375856,0.77285975,0.00040786227,0.00084500364],"about_ca_topic_score_codex":0.0002750965,"about_ca_topic_score_gemma":0.0000064379306,"teacher_disagreement_score":0.13829216,"about_ca_system_score_codex":0.000025083835,"about_ca_system_score_gemma":0.00017848816,"threshold_uncertainty_score":0.6637738},"labels":[],"label_agreement":null},{"id":"W4409602137","doi":"10.61091/jcmcc127b-033","title":"Research on multilevel genetic algorithm in optimization of combined electrical drive system for industrial robots","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Department of Education of Hebei Province","keywords":"Genetic algorithm; Robot; Electrical machinery; Computer science; Industrial robot; Control engineering; Engineering; Artificial intelligence; Mechanical engineering; Machine learning","score_opus":0.028305774986943668,"score_gpt":0.3061404441272673,"score_spread":0.2778346691403237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602137","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14402775,0.00023531841,0.84565634,0.000046393438,0.008410497,0.0011731818,0.000010874727,0.000059733844,0.00037994713],"genre_scores_gemma":[0.92566067,0.000032026164,0.07367281,0.0000024050403,0.0005743129,0.00001927131,0.0000028535098,0.000032563512,0.0000030991337],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997799,0.00008366056,0.0011791888,0.00017472322,0.00043794213,0.00032549832],"domain_scores_gemma":[0.9973082,0.0014175606,0.0003485591,0.00018115451,0.0006524633,0.00009208765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011474696,0.00020533119,0.0006799316,0.0005725976,0.00015269224,0.00006400683,0.00029535417,0.0002273177,6.613389e-7],"category_scores_gemma":[0.00027084656,0.00020043885,0.00010791721,0.0007552979,0.000060739072,0.00007730066,0.00007153629,0.0006073417,3.3468882e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015476996,0.0006997587,0.00003902282,0.00040767068,0.00012557008,0.0000067922315,0.00025917258,0.37214544,0.0003049729,0.60323226,0.00020483261,0.022419719],"study_design_scores_gemma":[0.007003248,0.0006685714,0.000066322486,0.00083456817,0.000042443997,0.0000068455015,0.00028479545,0.9021545,0.0018730132,0.08681984,0.000074633994,0.00017118522],"about_ca_topic_score_codex":0.000004526927,"about_ca_topic_score_gemma":1.2813918e-7,"teacher_disagreement_score":0.7816329,"about_ca_system_score_codex":0.00025699005,"about_ca_system_score_gemma":0.00012960391,"threshold_uncertainty_score":0.8173659},"labels":[],"label_agreement":null},{"id":"W4409602138","doi":"10.61091/jcmcc127b-060","title":"Linear Regression Model Construction and Path Optimization of Digital Transformation of Enterprise Financial Management in Digital Economy","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Digital transformation; Transformation (genetics); Digital economy; Business; Linear regression; Economics; Computer science; Mathematics; Statistics","score_opus":0.01150173982025257,"score_gpt":0.2105050017247962,"score_spread":0.19900326190454362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7990076,0.00018574343,0.17576064,0.000052115385,0.001632566,0.00030259683,0.00002051519,0.000008015222,0.023030205],"genre_scores_gemma":[0.99318326,0.00011899444,0.0066307816,0.0000045440493,0.00003873276,0.0000013131302,0.0000070594815,0.000007859007,0.0000074718764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998042,0.000005702375,0.0016447492,0.00012499269,0.000061563995,0.00012100938],"domain_scores_gemma":[0.9986209,0.00008056213,0.0010555129,0.000081206264,0.00011964983,0.000042123705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004980796,0.00014395898,0.0005599426,0.0004445862,0.00004786325,0.00011233335,0.00011480239,0.00009940056,0.0000017626863],"category_scores_gemma":[0.00007934166,0.00015200037,0.000086216955,0.00018580013,0.00006214738,0.0010267318,0.00005540933,0.000121667035,3.4309636e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012366609,0.00024751108,0.0025433705,0.00051737484,0.000046654062,7.720562e-7,0.0011914758,0.0029022095,0.0000035290504,0.98765296,0.000010200495,0.0047602737],"study_design_scores_gemma":[0.0038996155,0.00014326084,0.00014865439,0.0005100259,0.000017320168,0.0000056890303,0.0003250421,0.20141852,0.00013737097,0.79314387,0.00010519403,0.00014546637],"about_ca_topic_score_codex":0.000001161517,"about_ca_topic_score_gemma":5.975816e-8,"teacher_disagreement_score":0.19851631,"about_ca_system_score_codex":0.00006161664,"about_ca_system_score_gemma":0.000047533882,"threshold_uncertainty_score":0.61983955},"labels":[],"label_agreement":null},{"id":"W4409602139","doi":"10.61091/jcmcc127b-052","title":"Research on Personalized Financial Decision Making Based on Random Forest Algorithm in Big Data Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Random forest; Computer science; Big data; Finance; Data science; Artificial intelligence; Data mining; Business","score_opus":0.1394377694788965,"score_gpt":0.40502041945825695,"score_spread":0.26558264997936043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68540925,0.00047879768,0.27315408,0.0014871502,0.03631502,0.00091981044,0.000054431675,0.000022509446,0.00215891],"genre_scores_gemma":[0.9923932,0.000053027718,0.0060694832,0.00016280185,0.0012836311,0.000001902083,0.000004687932,0.000016156218,0.000015090109],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9934018,0.00052480516,0.0017164613,0.0005257387,0.0033406636,0.0004904859],"domain_scores_gemma":[0.986619,0.0109350495,0.000796946,0.0008998347,0.0006029738,0.00014620766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019978805,0.00029776886,0.0010144482,0.0009832308,0.0005748719,0.0007680045,0.0017489732,0.00025682902,0.000020410067],"category_scores_gemma":[0.007898066,0.00021287681,0.00020636807,0.0012419005,0.00020364542,0.0002623788,0.0007596352,0.0010077476,0.000009564902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004204144,0.0043543507,0.001680077,0.0001318041,0.00008321215,0.00018605233,0.0010034842,0.0027303312,0.000043383192,0.48244956,0.014058468,0.48907515],"study_design_scores_gemma":[0.017445479,0.0010980233,0.0029075902,0.0020289458,0.000037167847,0.00000995392,0.0008266446,0.16905418,0.000031323772,0.79716176,0.009093194,0.00030572963],"about_ca_topic_score_codex":0.000009376524,"about_ca_topic_score_gemma":0.0000010982534,"teacher_disagreement_score":0.4887694,"about_ca_system_score_codex":0.0001996672,"about_ca_system_score_gemma":0.0004563243,"threshold_uncertainty_score":0.9455294},"labels":[],"label_agreement":null},{"id":"W4409602143","doi":"10.61091/jcmcc127b-026","title":"Numerical simulation study of physical fitness changes in track and field athletes with different training cycles","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Track and field athletics; Athletes; Training (meteorology); Track (disk drive); Physical fitness; Field (mathematics); Computer science; Psychology; Simulation; Physical therapy; Medicine; Mathematics; Geography; Meteorology","score_opus":0.023253608491586218,"score_gpt":0.30339740053143427,"score_spread":0.28014379203984807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983958,0.00008061066,0.00019961753,0.00008323745,0.0008273906,0.00029229216,1.6322582e-7,0.0000096880685,0.000111209316],"genre_scores_gemma":[0.99945325,0.000009399992,0.00017207726,0.000015140517,0.00033435377,0.0000019812137,4.0055806e-7,0.0000120995355,0.0000012864974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987606,0.000024485134,0.0005630865,0.00013964078,0.00034453883,0.00016768603],"domain_scores_gemma":[0.9986039,0.00062868,0.00042123348,0.000103722494,0.00017243285,0.000070037095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039798798,0.00017509311,0.00084202184,0.00022736486,0.00007653138,0.00003588085,0.00007434331,0.00007107682,0.0000011855964],"category_scores_gemma":[0.00012620243,0.00012671902,0.00005091991,0.0002361901,0.000042847434,0.00007699144,0.00004512478,0.0003344473,2.663912e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00459825,0.0170727,0.6560664,0.0032749614,0.0011224804,0.0002759598,0.1125711,0.0038888685,0.0013851924,0.12445941,0.00001147493,0.07527317],"study_design_scores_gemma":[0.084705785,0.043157533,0.34616607,0.01419136,0.001721742,0.0002068227,0.046259787,0.32610047,0.0072136214,0.12914237,0.00005810333,0.0010763416],"about_ca_topic_score_codex":0.000007881775,"about_ca_topic_score_gemma":0.0000016239924,"teacher_disagreement_score":0.3222116,"about_ca_system_score_codex":0.00002554116,"about_ca_system_score_gemma":0.000057572597,"threshold_uncertainty_score":0.51674515},"labels":[],"label_agreement":null},{"id":"W4409602151","doi":"10.61091/jcmcc127b-019","title":"Association rule mining for college students’ physical fitness and athletic performance: an empirical analysis based on the Apriori algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Association rule learning; Apriori algorithm; Association (psychology); Computer science; Empirical research; Data mining; Psychology; Artificial intelligence; Statistics; Mathematics","score_opus":0.04035578463883002,"score_gpt":0.35991037673841586,"score_spread":0.3195545920995858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925589,0.00005650957,0.0018511651,0.0014003504,0.0035323228,0.00041938838,0.000004719746,0.000014094154,0.00016254107],"genre_scores_gemma":[0.9948935,0.000020932488,0.003909997,0.00020539803,0.00091327215,0.000010711169,0.0000031279167,0.00001226229,0.00003080449],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981993,0.00011498128,0.00060254656,0.00019198774,0.00066155836,0.00022965534],"domain_scores_gemma":[0.9962526,0.0021918998,0.00054850633,0.00018097472,0.0007058632,0.00012015273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021715502,0.00018599196,0.0007544716,0.00024756708,0.00048245254,0.00012396915,0.00014860107,0.000114260845,0.0000019937602],"category_scores_gemma":[0.0007086278,0.00013298352,0.00018117753,0.0005629359,0.00006382325,0.000074442505,0.00009204188,0.00030847365,2.6168829e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001936563,0.013481853,0.6310746,0.0029329623,0.009086226,0.000030043211,0.023826707,0.00034607228,0.000052173204,0.28249103,0.0057889516,0.028952818],"study_design_scores_gemma":[0.020795936,0.006379504,0.09982808,0.0015659616,0.009485108,0.00002679224,0.015925247,0.7234478,0.0003527671,0.11983092,0.0016590499,0.00070286286],"about_ca_topic_score_codex":0.000002651514,"about_ca_topic_score_gemma":1.0135424e-7,"teacher_disagreement_score":0.7231017,"about_ca_system_score_codex":0.00019006414,"about_ca_system_score_gemma":0.00021079394,"threshold_uncertainty_score":0.54229105},"labels":[],"label_agreement":null},{"id":"W4409602152","doi":"10.61091/jcmcc127b-066","title":"Research on Multi-Objective Planning Methods in Resource Integration Strategies of Physical Education in Private Colleges and Universities in Wuhan Region","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Resource (disambiguation); Regional science; Business; Political science; Geography; Computer science","score_opus":0.03523738474679755,"score_gpt":0.38976682993330486,"score_spread":0.3545294451865073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955654,0.000042630418,0.0010051073,0.00012643303,0.00062932435,0.00018333118,2.2659172e-7,0.0000022679528,0.0024452931],"genre_scores_gemma":[0.99521846,0.000008632146,0.004679505,0.000006727139,0.00006488663,0.0000021465437,6.2508326e-7,0.0000052505707,0.000013748943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987294,0.00023066922,0.00050338346,0.00013251336,0.00026529393,0.00013872876],"domain_scores_gemma":[0.9985487,0.00094408303,0.0002967319,0.00007988921,0.00010132638,0.000029266723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018511501,0.0001004141,0.00029637286,0.00058164593,0.000092422066,0.000052331437,0.00013541193,0.000074881085,9.2638015e-7],"category_scores_gemma":[0.0002496106,0.00008802622,0.000024189643,0.0008644765,0.00013353261,0.00024974733,0.000115934985,0.0004572948,1.0851897e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090564296,0.00086381845,0.0039026425,0.000065959335,0.000007483622,0.0000022681454,0.0065904935,0.0011435557,0.0011237061,0.9834237,0.00002389014,0.0027619274],"study_design_scores_gemma":[0.0024602313,0.00060343975,0.07711723,0.0020610078,0.000009050495,0.0000046269556,0.08579002,0.009295776,0.0020077163,0.8204401,0.000082306244,0.00012848292],"about_ca_topic_score_codex":0.00017546507,"about_ca_topic_score_gemma":0.000010874732,"teacher_disagreement_score":0.16298358,"about_ca_system_score_codex":0.00039955255,"about_ca_system_score_gemma":0.00027821268,"threshold_uncertainty_score":0.3589605},"labels":[],"label_agreement":null},{"id":"W4409602153","doi":"10.61091/jcmcc127b-017","title":"Artificial Intelligence-Driven Personalized College English Vocabulary Learning Path Generation and Optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Computer science; English vocabulary; Artificial intelligence; Vocabulary; Personalized learning; Vocabulary learning; Mathematics education; Psychology; Teaching method; Linguistics; Cooperative learning; Open learning; Programming language","score_opus":0.023671486021750388,"score_gpt":0.2833055635175009,"score_spread":0.2596340774957505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602153","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24480239,0.00052760163,0.73971814,0.0008110855,0.013489456,0.0002215752,9.480038e-7,0.000080239246,0.0003485625],"genre_scores_gemma":[0.9288638,0.00011518777,0.07001597,0.000040914787,0.0009347382,0.000002469675,0.0000021099045,0.000010576887,0.0000142102745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99821943,0.00016560554,0.0008222319,0.00024488516,0.00033669572,0.0002111321],"domain_scores_gemma":[0.9978134,0.0005916784,0.00060243433,0.00017015009,0.000731044,0.00009128341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011854452,0.00019693164,0.0004419336,0.00030978752,0.00046721182,0.00024821397,0.0004205222,0.00021026983,0.0000042972683],"category_scores_gemma":[0.0008836839,0.00019261733,0.0000806184,0.0004643318,0.000119262404,0.0003339344,0.00026221378,0.0005149083,5.2206946e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026105801,0.00020369238,0.0001619107,0.000053457028,0.00006004503,0.000006902114,0.0018935929,0.002269201,0.00016837953,0.9918662,0.000091966656,0.003198576],"study_design_scores_gemma":[0.0006084164,0.0004237911,0.000030425432,0.00017180743,0.000050655566,0.000043987693,0.00083644013,0.46401906,0.00062631577,0.53263915,0.00035865165,0.00019131573],"about_ca_topic_score_codex":0.0000024833469,"about_ca_topic_score_gemma":2.0203088e-7,"teacher_disagreement_score":0.68406147,"about_ca_system_score_codex":0.00006567804,"about_ca_system_score_gemma":0.00028058578,"threshold_uncertainty_score":0.78547066},"labels":[],"label_agreement":null},{"id":"W4409602154","doi":"10.61091/jcmcc127b-042","title":"Research on job-seeking employment and career planning of college students based on Internet big data analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"The Internet; Big data; Psychology; Career planning; Job analysis; Medical education; Applied psychology; Computer science; World Wide Web; Job satisfaction; Pedagogy; Social psychology; Medicine; Data mining","score_opus":0.1360791489866432,"score_gpt":0.43356376224864107,"score_spread":0.2974846132619979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854972,0.00010975052,0.0011390714,0.00067503296,0.006958112,0.00023897112,0.000007105926,0.00001123895,0.0053635384],"genre_scores_gemma":[0.9987714,0.00001130106,0.00033279482,0.0000657265,0.0007618507,9.754926e-7,0.0000021997632,0.000007278923,0.000046460536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99682444,0.0005544812,0.00076535053,0.00024073543,0.0012895111,0.0003254757],"domain_scores_gemma":[0.9950849,0.0034431263,0.0004168888,0.0002799104,0.0006024809,0.00017268234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006381209,0.00014754971,0.0005949989,0.0006144154,0.00041110278,0.00019722148,0.00073784543,0.00015162517,0.0000072107537],"category_scores_gemma":[0.0019752264,0.00012193096,0.00009214347,0.000971245,0.00026215008,0.000076397184,0.0003859732,0.0005113545,5.358665e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015965062,0.0007687296,0.011948718,0.00008894209,0.00025517066,0.000008593593,0.002619586,0.00007078107,0.000011162315,0.9825584,0.0005457652,0.0009644451],"study_design_scores_gemma":[0.006732753,0.0032016598,0.024321958,0.002984782,0.0010096054,0.0000024887145,0.013818975,0.01756047,0.0002869456,0.9240288,0.0055296775,0.0005218631],"about_ca_topic_score_codex":0.00025921586,"about_ca_topic_score_gemma":0.000007998161,"teacher_disagreement_score":0.058529634,"about_ca_system_score_codex":0.00014201546,"about_ca_system_score_gemma":0.00030094385,"threshold_uncertainty_score":0.49722004},"labels":[],"label_agreement":null},{"id":"W4409602157","doi":"10.61091/jcmcc127b-051","title":"Deep Convolutional Network Based 3D Target Modeling for Multi-view Video","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Image and Video Stabilization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Convolutional neural network; Artificial intelligence","score_opus":0.0230200293675076,"score_gpt":0.2797919800042206,"score_spread":0.25677195063671304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003097919,0.0010660635,0.98050386,0.0002640556,0.0144136,0.0004256113,9.884761e-7,0.00005538615,0.00017252505],"genre_scores_gemma":[0.5623227,0.000018384138,0.4365276,0.00015954989,0.000937227,0.0000067344463,0.0000025324482,0.000019469726,0.0000057895754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99737304,0.00013396362,0.0012755956,0.00030512444,0.00047909791,0.0004331807],"domain_scores_gemma":[0.9965397,0.00094219507,0.00076104,0.0003151176,0.0013043439,0.00013757804],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00236814,0.00028802536,0.0007246792,0.00021931923,0.00052355963,0.0004015658,0.00075093016,0.00016629859,0.0000027018243],"category_scores_gemma":[0.0008213476,0.0002698049,0.00023927288,0.00055315165,0.00005256747,0.00045351297,0.00027273598,0.0003244223,8.847389e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005821652,0.00040989195,0.00009451396,0.00032540344,0.00008404153,0.0000045217353,0.00024772037,0.03187305,0.00006199657,0.9645786,0.00029704784,0.0019649963],"study_design_scores_gemma":[0.0033764995,0.00018162288,0.0000085708025,0.00033014163,0.000046959525,0.0000080481805,0.00002373954,0.6505067,0.00009557849,0.34462574,0.00063072686,0.00016567408],"about_ca_topic_score_codex":0.0000033368897,"about_ca_topic_score_gemma":3.783084e-7,"teacher_disagreement_score":0.61995286,"about_ca_system_score_codex":0.00012001231,"about_ca_system_score_gemma":0.00043396663,"threshold_uncertainty_score":0.99997544},"labels":[],"label_agreement":null},{"id":"W4409602160","doi":"10.61091/jcmcc127b-034","title":"Deep learning-based network information security threat prediction and defense mechanism design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Computer security; Computer science; Information security; Network security; Artificial intelligence","score_opus":0.008003522869933275,"score_gpt":0.21683159886567357,"score_spread":0.2088280759957403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602160","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03635189,0.0003552124,0.95028454,0.0001950884,0.012100605,0.00029497262,2.8836413e-7,0.00009570497,0.00032170388],"genre_scores_gemma":[0.98069626,0.00010145404,0.01851181,0.00008231539,0.0005931619,0.0000027827175,0.000001330503,0.000009265205,0.0000015930206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977787,0.00027833253,0.00095783477,0.00019272868,0.0004919891,0.00030037563],"domain_scores_gemma":[0.9974348,0.0007924933,0.00086964574,0.00021261608,0.0005506307,0.0001397924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024995918,0.00024316585,0.0004949136,0.00026844646,0.0006206283,0.00056105293,0.00037792133,0.00022531651,0.000002095028],"category_scores_gemma":[0.0004052584,0.00022821123,0.00010841634,0.00056953897,0.000057157038,0.0008595301,0.0002871268,0.0006432012,0.0000011975816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009871003,0.0001292972,0.000058020803,0.00012391542,0.000057561818,0.000004736479,0.00095975364,0.0057221805,0.000029139785,0.9871935,0.00015891566,0.0054642325],"study_design_scores_gemma":[0.0016328183,0.0005456235,0.00003926385,0.00020597763,0.00003920046,0.0000306735,0.000049356797,0.46313697,0.00021324719,0.53344595,0.0005494006,0.00011151191],"about_ca_topic_score_codex":0.0000057101274,"about_ca_topic_score_gemma":3.2840939e-7,"teacher_disagreement_score":0.9443444,"about_ca_system_score_codex":0.00008638755,"about_ca_system_score_gemma":0.00012905608,"threshold_uncertainty_score":0.93061835},"labels":[],"label_agreement":null},{"id":"W4409602161","doi":"10.61091/jcmcc127b-054","title":"Legal Regulation Strategies for Civil Abuse of Litigation Rights Based on Algorithmic Research","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Indonesian Legal and Regulatory Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Civil litigation; Law; Law and economics; Criminology; Psychology; Sociology","score_opus":0.025106447731577018,"score_gpt":0.33040842782940516,"score_spread":0.30530198009782816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9015897,0.000325356,0.021327134,0.0010284316,0.025743265,0.0015963624,0.0000066505836,0.000059681537,0.04832342],"genre_scores_gemma":[0.9966975,0.000008183271,0.0016416544,0.000011110344,0.0015674843,0.000004732152,9.445192e-7,0.000010931873,0.000057495763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99736285,0.00035727082,0.00084718363,0.00017025055,0.0009418196,0.00032062872],"domain_scores_gemma":[0.99537474,0.001896968,0.0006562916,0.00015185737,0.001832982,0.00008718933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045945407,0.00016458202,0.0005303173,0.0004233049,0.0011881533,0.00023747733,0.00029545365,0.00020472136,0.000002593777],"category_scores_gemma":[0.00047906357,0.00013902642,0.000170172,0.0005344479,0.00042176957,0.00026443152,0.000039981824,0.0003631542,3.5578768e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015458622,0.00038341735,0.000030599273,0.00021347402,0.000056831308,0.000001594094,0.004987096,0.0001204577,0.0001496967,0.9929018,0.00060307846,0.0003973613],"study_design_scores_gemma":[0.0029625187,0.0006034373,0.00013442864,0.00082441425,0.000058088448,0.0000010666811,0.003028206,0.0061606676,0.000708421,0.97781724,0.0075585167,0.0001429732],"about_ca_topic_score_codex":0.00008680869,"about_ca_topic_score_gemma":0.000011760514,"teacher_disagreement_score":0.095107764,"about_ca_system_score_codex":0.0001546539,"about_ca_system_score_gemma":0.00065575924,"threshold_uncertainty_score":0.91384345},"labels":[],"label_agreement":null},{"id":"W4409602165","doi":"10.61091/jcmcc127b-044","title":"A Language Model-based Approach to Context Analysis in Business English Translation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Translation (biology); Computer science; Linguistics; Context (archaeology); Business English; Natural language processing; History; Philosophy; Archaeology","score_opus":0.012103283140480895,"score_gpt":0.2661340313487471,"score_spread":0.2540307482082662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602165","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06402994,0.0008048878,0.9318694,0.00022505193,0.002125145,0.00026439002,8.608122e-7,0.000093252296,0.0005870931],"genre_scores_gemma":[0.70445985,0.0000028934073,0.29532412,0.00007522757,0.00012302073,0.000002844494,9.4693354e-7,0.000008839242,0.0000022671952],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978671,0.000107383436,0.0009477331,0.00029790722,0.00050214934,0.00027770654],"domain_scores_gemma":[0.99774736,0.00042769097,0.00050359993,0.00034734982,0.00086117355,0.00011282441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016616072,0.00024389246,0.00078584324,0.0011848434,0.00011796529,0.00038712387,0.0009270839,0.00016150656,3.9427684e-7],"category_scores_gemma":[0.0006335457,0.0002207233,0.00016469308,0.0032290842,0.00003478475,0.0003490749,0.00019700847,0.00040549733,1.7462958e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006159945,0.0006130982,0.00011244273,0.0002384904,0.00012399294,0.000010229568,0.0063177506,0.005594235,0.00042680113,0.9766183,0.000047370457,0.009835725],"study_design_scores_gemma":[0.0026007,0.00011300492,0.000067784495,0.0004027829,0.00016434926,0.000004272471,0.00028041005,0.6529514,0.0011636686,0.34190995,0.0000557185,0.0002859447],"about_ca_topic_score_codex":0.000019334944,"about_ca_topic_score_gemma":0.0000018815016,"teacher_disagreement_score":0.64735717,"about_ca_system_score_codex":0.00012217103,"about_ca_system_score_gemma":0.0002594158,"threshold_uncertainty_score":0.90008354},"labels":[],"label_agreement":null},{"id":"W4409602166","doi":"10.61091/jcmcc127b-028","title":"Design of a neural network model-based system for predicting students’ mental health status and psychological intervention in colleges and universities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mental health; Intervention (counseling); Artificial neural network; Psychology; Applied psychology; Medical education; Mathematics education; Computer science; Clinical psychology; Artificial intelligence; Medicine; Psychiatry","score_opus":0.058171428285379585,"score_gpt":0.4022070813666668,"score_spread":0.3440356530812872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683912,0.0013339326,0.023898235,0.00014685343,0.005175634,0.0009662578,0.000006595781,0.00001277762,0.00006850619],"genre_scores_gemma":[0.994294,0.00003794012,0.00547726,0.000018406316,0.00014512148,0.000005988375,0.000001404019,0.000011466809,0.000008419006],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976795,0.0004149269,0.0010164303,0.00019139156,0.0003286043,0.00036914574],"domain_scores_gemma":[0.99789983,0.0009159138,0.00076576206,0.00010468366,0.00016865076,0.00014514166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029940815,0.00016101195,0.0006420759,0.00023327196,0.00023440138,0.00006835509,0.00018069624,0.000117761716,0.0000011882036],"category_scores_gemma":[0.000075530064,0.00015076862,0.00006162752,0.00020244873,0.000103757244,0.00007454948,0.00015754208,0.000306393,3.23521e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041977945,0.00246057,0.01747676,0.0046628346,0.0002559237,0.000014813307,0.0073117297,0.0025495638,0.000039616374,0.9550886,0.0003820657,0.0055597182],"study_design_scores_gemma":[0.05361308,0.012776885,0.005460301,0.0069149565,0.00013622842,0.00005634272,0.024725923,0.7307847,0.000054874272,0.16500561,0.00006130323,0.00040979128],"about_ca_topic_score_codex":0.000031774864,"about_ca_topic_score_gemma":0.0000012107896,"teacher_disagreement_score":0.790083,"about_ca_system_score_codex":0.00024923056,"about_ca_system_score_gemma":0.00013722187,"threshold_uncertainty_score":0.6148166},"labels":[],"label_agreement":null},{"id":"W4409602170","doi":"10.61091/jcmcc127b-055","title":"Research on the Optimization Path of Classroom Management for Foreign Language Teachers in Colleges and Universities Based on AIGC and the Construction of Its Multilevel Decision-Making Model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"American Indian Graduate Center","keywords":"Path (computing); Mathematics education; Multilevel model; Foreign language; Foreign language teaching; Computer science; Psychology; Machine learning","score_opus":0.018715897720467098,"score_gpt":0.3037102119174158,"score_spread":0.2849943141969487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727509,0.000034368448,0.023493053,0.00032025436,0.00046109877,0.00043672542,0.0000033830065,0.0000018503262,0.0024983694],"genre_scores_gemma":[0.98562634,0.00002544112,0.014288964,0.000017380024,0.00002551818,0.000003386013,3.547381e-7,0.00000458459,0.00000805742],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990014,0.00007025348,0.00039592606,0.000088650784,0.00034977787,0.00009402654],"domain_scores_gemma":[0.9971438,0.0022925246,0.00032394298,0.00008817237,0.00013402925,0.000017506723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020957147,0.00007694647,0.00019819195,0.0001673786,0.00022379182,0.000035009776,0.00013473259,0.000046866113,0.0000029492041],"category_scores_gemma":[0.0003092984,0.000047462592,0.00003322959,0.00027388116,0.00021289146,0.00007310114,0.00009846988,0.00016897533,3.2326327e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022494883,0.0001357531,0.00013291322,0.00006667423,0.000018147332,2.7470807e-7,0.0011921669,0.03580161,0.000022566477,0.96045405,0.000053231022,0.001897647],"study_design_scores_gemma":[0.0026163815,0.00020043127,0.00031329575,0.0006416402,0.000020307603,9.383871e-7,0.011766179,0.5911814,0.000110027475,0.39309436,0.0000108376535,0.000044203654],"about_ca_topic_score_codex":0.000005966705,"about_ca_topic_score_gemma":4.4876447e-7,"teacher_disagreement_score":0.5673597,"about_ca_system_score_codex":0.00010474246,"about_ca_system_score_gemma":0.00005662114,"threshold_uncertainty_score":0.19354685},"labels":[],"label_agreement":null},{"id":"W4409602172","doi":"10.61091/jcmcc127b-059","title":"Research on the relationship between economic efficiency and financial structure of enterprises based on multiple regression analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digitalization and Economic Development in Agriculture","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Regression analysis; Business; Regression; Financial system; Finance; Economics; Econometrics; Statistics; Mathematics","score_opus":0.02869025100780701,"score_gpt":0.2778954343459782,"score_spread":0.24920518333817118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99362725,0.000019926125,0.000633415,0.00037553054,0.0024490121,0.00018301954,0.0000032119378,0.0000098492665,0.0026988145],"genre_scores_gemma":[0.999242,0.0000019478875,0.000086171305,0.000079645964,0.0005667201,7.200332e-7,0.0000049946298,0.000007586361,0.000010201838],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986126,0.00005010937,0.0006949405,0.00016322646,0.00031813807,0.00016097816],"domain_scores_gemma":[0.995719,0.003114675,0.0007251296,0.00015420472,0.00026571553,0.000021234988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013183483,0.00015807837,0.00043859135,0.00067008805,0.00037835896,0.00034469485,0.0002836324,0.000109556655,0.000009481284],"category_scores_gemma":[0.0018064901,0.00010190593,0.00010916385,0.00069218903,0.000081887396,0.00018358424,0.0001492589,0.00032856892,0.000001476448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008330525,0.00015265845,0.13558316,0.00014515404,0.00007556302,8.7689835e-7,0.00011378754,0.0011139564,0.000011552809,0.86145973,0.0010533909,0.00020683868],"study_design_scores_gemma":[0.0046597384,0.00024910638,0.15355808,0.0016484873,0.00036963975,0.000001198352,0.00080740906,0.03615828,0.0003119081,0.7996411,0.0022101952,0.00038488812],"about_ca_topic_score_codex":0.0000073097435,"about_ca_topic_score_gemma":0.0000012079885,"teacher_disagreement_score":0.061818674,"about_ca_system_score_codex":0.000059833656,"about_ca_system_score_gemma":0.00007795943,"threshold_uncertainty_score":0.41556033},"labels":[],"label_agreement":null},{"id":"W4409602174","doi":"10.61091/jcmcc127b-030","title":"Research on E-commerce Supply Chain Inventory Optimization and Multi-Objective Planning with Database Technical Support","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Supply chain; Database; Computer science; Business; Process management; Engineering management; Operations research; Operations management; Engineering; Marketing","score_opus":0.03022021261064492,"score_gpt":0.3181475599378901,"score_spread":0.28792734732724523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85807073,0.00042012625,0.11007093,0.0015414609,0.015386443,0.001711457,0.000005777413,0.00018938951,0.012603709],"genre_scores_gemma":[0.9941227,0.000014454872,0.004547511,0.00014546746,0.0011076302,0.000006727853,0.000006069184,0.000030619252,0.000018841023],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978822,0.00008457086,0.0007405651,0.0002748106,0.0007160472,0.00030184654],"domain_scores_gemma":[0.9971871,0.00072331785,0.00066661724,0.00022927417,0.0011457666,0.0000479527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002678319,0.0002438159,0.0004982429,0.0008555917,0.00051406136,0.0006200093,0.00031527926,0.00012617704,0.0000100327525],"category_scores_gemma":[0.0008191589,0.00020999645,0.000051779032,0.0009840603,0.00016687282,0.0005908515,0.00043729384,0.0007087815,0.0000019046383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070864946,0.0011434928,0.007252082,0.00054979796,0.00013146673,0.00006495493,0.00050667627,0.0046525267,0.00020068309,0.98096347,0.0032642856,0.000561928],"study_design_scores_gemma":[0.055798322,0.0039172894,0.0052024764,0.0157679,0.0009414226,0.00020873715,0.017021649,0.5191536,0.00092282065,0.36632904,0.012181632,0.002555147],"about_ca_topic_score_codex":0.000020572119,"about_ca_topic_score_gemma":0.0000020843695,"teacher_disagreement_score":0.6146344,"about_ca_system_score_codex":0.000117990814,"about_ca_system_score_gemma":0.0001649751,"threshold_uncertainty_score":0.8563407},"labels":[],"label_agreement":null},{"id":"W4409603106","doi":"10.61091/jcmcc127b-101","title":"Exploration on the Application of Wireless Networks and Intelligent Perception in Power Load Forecasting and Dispatching","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wireless; Computer science; Perception; Power (physics); Wireless network; Telecommunications; Psychology","score_opus":0.013606732935218625,"score_gpt":0.23047382839676175,"score_spread":0.21686709546154312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91554075,0.00036533776,0.0813696,0.00007402813,0.0022165042,0.00019915361,2.6806586e-7,0.000022267348,0.00021205691],"genre_scores_gemma":[0.9994885,0.00012556191,0.0002718728,0.000004311909,0.00009524837,0.0000032246166,2.0625673e-7,0.000010552101,5.21802e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989688,0.000035492798,0.00060076994,0.00009251502,0.00018100467,0.00012143365],"domain_scores_gemma":[0.9990292,0.00044781915,0.000277801,0.00010508775,0.0001138635,0.000026227395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009865497,0.00013342858,0.00033358557,0.00012940165,0.000088274894,0.00007426343,0.00011184612,0.000105289626,2.2806091e-7],"category_scores_gemma":[0.00014579955,0.000101436235,0.000033610522,0.00018822055,0.000047992613,0.000112695445,0.00008320111,0.00030230606,5.5594437e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047007106,0.00012670671,0.0011953835,0.00037606686,0.000066353525,0.0000025615986,0.0028791241,0.0033977255,0.0011555548,0.95907044,0.000037134778,0.031645916],"study_design_scores_gemma":[0.001330221,0.00029391053,0.0008863421,0.001546432,0.00003616458,0.000017252296,0.0031106956,0.6661984,0.0007212448,0.32556042,0.000112164525,0.00018679904],"about_ca_topic_score_codex":0.000011245721,"about_ca_topic_score_gemma":0.0000019456181,"teacher_disagreement_score":0.6628006,"about_ca_system_score_codex":0.00006911598,"about_ca_system_score_gemma":0.000016513079,"threshold_uncertainty_score":0.41364494},"labels":[],"label_agreement":null},{"id":"W4409603108","doi":"10.61091/jcmcc127b-089","title":"Applying a Hybrid Multiple Attribute Decision-Making Model to Evaluate the Improvement Strategy for Effective Technology Transfer Modes","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology Assessment and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Guangdong Science and Technology Department","keywords":"Computer science; Artificial intelligence","score_opus":0.01308799453152478,"score_gpt":0.28543078132478156,"score_spread":0.2723427867932568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603108","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39738736,0.00018564628,0.597473,0.00012467358,0.0031578636,0.0014798648,0.0000034950824,0.000094521325,0.00009357761],"genre_scores_gemma":[0.9885473,0.000021715572,0.01099277,0.00003100445,0.00017531334,0.00019567163,6.026307e-7,0.000033445387,0.0000021520616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982008,0.000025330273,0.00084445946,0.00021240023,0.00033169522,0.00038532165],"domain_scores_gemma":[0.9981415,0.0010376396,0.000133022,0.00026681932,0.00036145785,0.000059540398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013551225,0.0003017413,0.0006255574,0.00044349275,0.00034272985,0.00015425294,0.00052962534,0.00015055113,7.1737225e-7],"category_scores_gemma":[0.00031336202,0.0002369641,0.00016272777,0.00041562118,0.000054105945,0.00011426405,0.00022326663,0.00044880967,4.8303923e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016191305,0.00023062713,0.00004038086,0.00036263283,0.00051373546,0.00000594636,0.00023811251,0.11076623,0.004159901,0.7744198,0.00048683444,0.108613886],"study_design_scores_gemma":[0.0026567595,0.00039746397,0.0000087759445,0.00044294095,0.00015856388,0.0000052015453,0.00031319042,0.45124006,0.0042017153,0.5401861,0.00022032074,0.00016889258],"about_ca_topic_score_codex":7.9206825e-7,"about_ca_topic_score_gemma":6.7866284e-7,"teacher_disagreement_score":0.59116,"about_ca_system_score_codex":0.00017776838,"about_ca_system_score_gemma":0.00006591397,"threshold_uncertainty_score":0.9663115},"labels":[],"label_agreement":null},{"id":"W4409603111","doi":"10.61091/jcmcc127b-112","title":"Data Mining of Teaching Evaluation of College Physical Education Courses Based on Artificial Intelligence and Multimedia Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multimedia; Computer science; Mathematics education; Psychology","score_opus":0.04494990240212344,"score_gpt":0.3333801957840544,"score_spread":0.288430293381931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990434,0.000089028625,0.002580564,0.0011283377,0.003999003,0.00029011714,0.0000048259026,0.000023701117,0.0014504398],"genre_scores_gemma":[0.9948749,0.0000023868804,0.0044896645,0.000040150877,0.00057190296,0.00000236941,0.0000065480103,0.000011297788,7.8716323e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99830645,0.000039684644,0.00086961366,0.00017896543,0.0004690435,0.00013622515],"domain_scores_gemma":[0.99661815,0.0006065507,0.0012880675,0.00031969402,0.0011559135,0.000011623118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025065257,0.00015959416,0.00050158886,0.00090222736,0.00018893064,0.00005816109,0.0004372456,0.0001405541,0.000002205924],"category_scores_gemma":[0.0027194272,0.00014977637,0.00004653505,0.0007325198,0.00022315342,0.00027889953,0.00029625776,0.00036136474,3.5179374e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043931264,0.0011357061,0.0008949811,0.00022951204,0.00005286837,5.961772e-7,0.00010073491,0.000053369084,0.00047513406,0.949142,0.00017664766,0.047694553],"study_design_scores_gemma":[0.0009179202,0.00013969159,0.00016207203,0.0008714824,0.00031733332,0.000002511699,0.002754509,0.29557163,0.0009875206,0.6980204,0.00013577747,0.00011916708],"about_ca_topic_score_codex":0.000014084897,"about_ca_topic_score_gemma":0.0000013407017,"teacher_disagreement_score":0.29551825,"about_ca_system_score_codex":0.00003255676,"about_ca_system_score_gemma":0.0002572736,"threshold_uncertainty_score":0.61077034},"labels":[],"label_agreement":null},{"id":"W4409603112","doi":"10.61091/jcmcc127b-125","title":"Study on Constructing a Risk Monitoring and Early Warning Model for Transactions in Southern Regional Electricity Market under New Power System Based on Time Series Bayesian Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Warning system; Electricity; Electricity market; Series (stratigraphy); Bayesian network; Bayesian probability; Time series; Econometrics; Computer science; Power market; Power (physics); Electric power system; Data mining; Operations research; Business; Economics; Artificial intelligence; Machine learning; Engineering; Telecommunications","score_opus":0.009256614420352641,"score_gpt":0.22044288288500935,"score_spread":0.2111862684646567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70008016,0.00013131947,0.2871471,0.000023667748,0.011697922,0.0005291096,0.0000027153133,0.000076682794,0.00031133922],"genre_scores_gemma":[0.9974835,0.000004606434,0.0014537503,0.0000034046332,0.0009890532,0.000004623564,2.1774125e-7,0.000042815278,0.000018066625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980977,0.00013369664,0.00090929185,0.00020656032,0.00033687626,0.0003158341],"domain_scores_gemma":[0.9980417,0.0011305058,0.00039853144,0.00015798278,0.00014245666,0.00012885986],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013594743,0.00030845933,0.0007201489,0.0003459326,0.00026691993,0.00020223956,0.00016347425,0.000168228,9.487765e-7],"category_scores_gemma":[0.00009021497,0.00029497434,0.00012777107,0.00030367688,0.00002558807,0.00011412371,0.000018371114,0.00064371637,1.8744139e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019369909,0.0011603504,0.01602606,0.00090760033,0.0010411517,0.000042620624,0.019581681,0.88661814,0.00016321788,0.070011586,0.00050250575,0.0020080793],"study_design_scores_gemma":[0.006372415,0.000883713,0.00038803538,0.0017302532,0.00014034512,0.000023835413,0.004619971,0.9775371,0.000048785274,0.00791388,0.000018986277,0.00032267522],"about_ca_topic_score_codex":0.000014401416,"about_ca_topic_score_gemma":7.891152e-7,"teacher_disagreement_score":0.2974033,"about_ca_system_score_codex":0.00017411307,"about_ca_system_score_gemma":0.00010810409,"threshold_uncertainty_score":0.99995023},"labels":[],"label_agreement":null},{"id":"W4409603114","doi":"10.61091/jcmcc127b-149","title":"AI-generated content construction in digital exhibition halls and practical study of image processing algorithms in educational reforms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Exhibition; Digital image processing; Image processing; Computer science; Digital content; Computer graphics (images); Content (measure theory); Digital image; Engineering drawing; Algorithm; Artificial intelligence; Image (mathematics); Multimedia; Mathematics education; Visual arts; Mathematics; Engineering; Art","score_opus":0.028798612093823197,"score_gpt":0.3268438026367173,"score_spread":0.29804519054289413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98389167,0.00013872176,0.011011292,0.0014223368,0.0031001063,0.0002561279,6.253144e-7,0.0000118435255,0.00016727207],"genre_scores_gemma":[0.98382133,0.000013178359,0.0159907,0.000021903124,0.00013942852,0.0000036169922,0.0000010083288,0.0000056956374,0.0000031074317],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981879,0.0000707661,0.0010496866,0.00020892404,0.0003121542,0.00017059462],"domain_scores_gemma":[0.9980699,0.0004610542,0.00066016114,0.0001379981,0.000616416,0.00005447079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010341058,0.00015284996,0.00045655103,0.00049268245,0.00010510384,0.00020453522,0.00020583131,0.00013337111,9.233953e-7],"category_scores_gemma":[0.0005741187,0.0001371758,0.000034856006,0.0005830675,0.00011592684,0.00077157613,0.00018388114,0.00046734483,1.8138779e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006093023,0.002560295,0.009125923,0.0001307537,0.000035614292,0.000015117819,0.0020653734,0.000013566861,0.00045901426,0.9804827,0.000022913007,0.0050277757],"study_design_scores_gemma":[0.005140473,0.0007107874,0.009511672,0.00056568376,0.000023456394,0.00021167465,0.003196055,0.014135448,0.0005021426,0.9658131,0.000012993295,0.00017648943],"about_ca_topic_score_codex":0.000022031372,"about_ca_topic_score_gemma":0.0000027030353,"teacher_disagreement_score":0.0146696,"about_ca_system_score_codex":0.00010289723,"about_ca_system_score_gemma":0.00048824868,"threshold_uncertainty_score":0.5593867},"labels":[],"label_agreement":null},{"id":"W4409603129","doi":"10.61091/jcmcc127b-127","title":"A Study on the Economic Linkage of Greater Sanya Tourism Highway and the Synergistic Path of Double Leaders in Universities Based on Big Data Computational Optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Linkage (software); Tourism; Path (computing); Big data; Regional science; Economic geography; Political science; Computer science; Business; Geography; Data mining; Chemistry; Archaeology; Computer network","score_opus":0.035644822878531615,"score_gpt":0.2538635980044387,"score_spread":0.2182187751259071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899197,0.000021342754,0.0036406505,0.002014325,0.002538438,0.00037463364,0.0000030092872,0.000011678193,0.0014761953],"genre_scores_gemma":[0.9993941,0.0000022445522,0.00021213357,0.00009974789,0.0002739268,0.000001420719,0.0000041409035,0.000009047472,0.00000320209],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878645,0.000051035306,0.0006873594,0.00013564996,0.0002293965,0.0001100901],"domain_scores_gemma":[0.99762017,0.001047851,0.0008305477,0.00027482802,0.00021988468,0.000006697628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015323707,0.00014352708,0.000425177,0.00043465508,0.00019422235,0.00009906253,0.0004503611,0.0000742995,0.0000028054694],"category_scores_gemma":[0.0001485196,0.000095638046,0.000047038808,0.00036497967,0.00028328033,0.00015170555,0.00026121608,0.00028799946,3.269023e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002689768,0.0003521052,0.0012479011,0.000110290006,0.00009935604,0.0000048437028,0.00039097128,0.015914561,0.000003278466,0.98126847,0.00022058377,0.00011868969],"study_design_scores_gemma":[0.027313543,0.0004434049,0.0018436675,0.0012704292,0.0004384906,0.0000027059364,0.017348193,0.56418294,0.00006406583,0.38671362,0.0001008224,0.0002781274],"about_ca_topic_score_codex":0.00008916279,"about_ca_topic_score_gemma":0.000002354803,"teacher_disagreement_score":0.59455484,"about_ca_system_score_codex":0.000046738598,"about_ca_system_score_gemma":0.000108915745,"threshold_uncertainty_score":0.39000064},"labels":[],"label_agreement":null},{"id":"W4409603132","doi":"10.61091/jcmcc127b-129","title":"Innovative Research on Undergraduate Education Models Driven by Industry-Education Integration under the Framework of New Quality Productivity","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Quality (philosophy); Engineering management; Engineering; Computer science; Economics; Economic growth","score_opus":0.0863327891688197,"score_gpt":0.4372408374109536,"score_spread":0.3509080482421339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603132","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4298315,0.00019639113,0.5411148,0.009527048,0.01672609,0.0004212068,6.3498186e-7,0.000026132479,0.0021562157],"genre_scores_gemma":[0.9669721,0.000012492983,0.032075476,0.00012882313,0.0006801908,0.000005155337,0.000001338239,0.000011909191,0.0001124881],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99631846,0.001198928,0.0010663973,0.0002971519,0.00088397623,0.00023509322],"domain_scores_gemma":[0.9938442,0.0023208477,0.00093943224,0.000573155,0.0022011956,0.00012114862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062749083,0.00020959778,0.00047219277,0.00042583924,0.00041152412,0.00034563677,0.00092607946,0.00026693044,0.0000012589078],"category_scores_gemma":[0.0017655754,0.00015945049,0.00008428183,0.0019774244,0.00017367459,0.00043234238,0.00023718803,0.0018546261,6.4135116e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027435757,0.0013100747,0.00010889725,0.0000587986,0.000052607134,7.6429394e-8,0.0032572462,0.00013442797,0.00031068304,0.974182,0.0029535494,0.017604183],"study_design_scores_gemma":[0.00055820093,0.00025594496,0.0005188534,0.0006803986,0.00001607465,0.0000038641133,0.0023114947,0.0023368679,0.0029145072,0.98987484,0.00039390574,0.00013504692],"about_ca_topic_score_codex":0.000109833956,"about_ca_topic_score_gemma":7.6772517e-7,"teacher_disagreement_score":0.5371406,"about_ca_system_score_codex":0.0002477737,"about_ca_system_score_gemma":0.0028676381,"threshold_uncertainty_score":0.8057531},"labels":[],"label_agreement":null},{"id":"W4409603137","doi":"10.61091/jcmcc127b-087","title":"Research and application of battery performance decline law based on real vehicle data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Computer science","score_opus":0.025963412501582142,"score_gpt":0.29585887409854655,"score_spread":0.2698954615969644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98455423,0.00027406428,0.00673765,0.00012154351,0.004064672,0.00022128488,0.000004452083,0.00006451286,0.003957584],"genre_scores_gemma":[0.9985635,0.000090680966,0.0011003895,0.000006885271,0.0002186964,0.0000016376251,0.0000016783597,0.000015142413,0.0000013622623],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985316,0.00003993543,0.0006850061,0.00014418388,0.0004070822,0.000192226],"domain_scores_gemma":[0.99829686,0.00070402893,0.00022976316,0.00042934608,0.00028875074,0.000051225325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019450529,0.00013769827,0.0004319906,0.00023956333,0.0001442323,0.00007784064,0.00048946554,0.00013391567,4.542543e-7],"category_scores_gemma":[0.000120111115,0.00012261717,0.000029535238,0.00031806235,0.00013061875,0.00014923007,0.00033304532,0.00042029918,4.1175994e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007662975,0.0002892394,0.00096073875,0.0010249598,0.000072417795,0.0000036193162,0.00012484014,0.00063479185,0.0013080236,0.9896662,0.00030746116,0.0055310624],"study_design_scores_gemma":[0.0037593606,0.0009840456,0.0007951496,0.0013395377,0.000051852105,0.000009624057,0.0002785209,0.7362904,0.004899474,0.24921505,0.0021377923,0.00023921765],"about_ca_topic_score_codex":0.000018711924,"about_ca_topic_score_gemma":8.9949543e-7,"teacher_disagreement_score":0.74045116,"about_ca_system_score_codex":0.000045306555,"about_ca_system_score_gemma":0.00004500685,"threshold_uncertainty_score":0.5000183},"labels":[],"label_agreement":null},{"id":"W4409603140","doi":"10.61091/jcmcc127b-107","title":"Advances in self-driving driverless electric vehicles: a comparative analysis of subsystem and prototype development","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electric cars; Development (topology); Computer science; Self driving; Automotive engineering; Engineering; Systems engineering; Mathematics","score_opus":0.008607776658538738,"score_gpt":0.2558277553045759,"score_spread":0.24721997864603718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99211425,0.0006034963,0.005342801,0.000007973743,0.0011349197,0.00030211295,6.8411526e-7,0.000031132484,0.0004626582],"genre_scores_gemma":[0.99726087,0.000092256596,0.0025966761,0.0000022238114,0.00003428839,0.000005297312,0.0000011232347,0.00000663767,6.0357104e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983765,0.000039544222,0.0010893616,0.00010743846,0.00023689732,0.00015024928],"domain_scores_gemma":[0.99884224,0.00033393403,0.00035463387,0.00008880621,0.00033131187,0.00004908772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006426604,0.00015522141,0.0007217463,0.0007386998,0.00007569151,0.000043945616,0.0001271911,0.00007670441,8.959133e-7],"category_scores_gemma":[0.000041149186,0.00015053024,0.00006645578,0.0015078255,0.000027016371,0.00015243802,0.000022979848,0.00022816163,8.8253245e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088211396,0.00083213614,0.03963116,0.0018820455,0.0015907733,0.0000075250414,0.016248792,0.00690676,0.0018721282,0.92699355,0.000010869348,0.0039360225],"study_design_scores_gemma":[0.02075764,0.001394647,0.2286317,0.0058231936,0.0035592087,0.00002855014,0.009612056,0.539854,0.01919679,0.1663375,0.0030026874,0.0018020105],"about_ca_topic_score_codex":0.0000020560278,"about_ca_topic_score_gemma":0.000007239529,"teacher_disagreement_score":0.76065606,"about_ca_system_score_codex":0.00008861035,"about_ca_system_score_gemma":0.00010441373,"threshold_uncertainty_score":0.6138445},"labels":[],"label_agreement":null},{"id":"W4409603141","doi":"10.61091/jcmcc127b-103","title":"Innovation of Blockchain and Cloud Computing Technology in Financial Digital Management","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Cloud computing; Business; Computer science; Computer security; Data science; Operating system","score_opus":0.026713643159080144,"score_gpt":0.31403177338449756,"score_spread":0.2873181302254174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845534,0.00020187901,0.007098526,0.0004908911,0.006893702,0.0001657574,0.0000033721249,0.0000097045595,0.0005827782],"genre_scores_gemma":[0.9977935,0.000021441907,0.001791063,0.000031291293,0.00034492338,3.3856207e-7,7.320312e-7,0.000006999641,0.000009699494],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969002,0.000055140034,0.0018509224,0.0002154712,0.0007406947,0.00023758318],"domain_scores_gemma":[0.99683326,0.00077549845,0.0012592822,0.00021520988,0.0008682489,0.00004849511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003680693,0.00018680753,0.0007760535,0.0010322899,0.00017081454,0.0002991625,0.00047624393,0.00018484038,0.0000016921888],"category_scores_gemma":[0.0023495322,0.00014929507,0.00008443231,0.0024009643,0.00015804211,0.00018438621,0.00051757786,0.0003398708,3.5342399e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006178408,0.0003290863,0.0038012178,0.00011929517,0.000035415807,0.000012552735,0.000524716,0.000027289983,0.00013015371,0.9651285,0.0003198305,0.029510152],"study_design_scores_gemma":[0.0036222863,0.0002650532,0.0038227036,0.0006137397,0.000028665758,0.000022831744,0.001659729,0.0033025288,0.00024218524,0.98547924,0.00078281306,0.00015819812],"about_ca_topic_score_codex":0.0000035397509,"about_ca_topic_score_gemma":1.8956032e-7,"teacher_disagreement_score":0.029351953,"about_ca_system_score_codex":0.000045217403,"about_ca_system_score_gemma":0.00012912469,"threshold_uncertainty_score":0.6088076},"labels":[],"label_agreement":null},{"id":"W4409603150","doi":"10.61091/jcmcc127b-093","title":"Study on abnormal power usage detection of grid users based on improved neural network","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Computer science; Power grid; Grid; Power (physics); Data mining; Artificial intelligence; Mathematics","score_opus":0.00821936434793439,"score_gpt":0.22680932111558594,"score_spread":0.21858995676765156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8900829,0.00008280998,0.0023181168,0.000016068727,0.10579054,0.00039577423,0.0000018228143,0.000058409787,0.0012535742],"genre_scores_gemma":[0.9970797,0.0000026751636,0.00012872899,0.000018935503,0.0027295295,0.00000274089,4.781355e-7,0.00003466001,0.0000025674253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977366,0.000137074,0.0011443602,0.00016394343,0.00050435006,0.00031367934],"domain_scores_gemma":[0.9980764,0.00076578645,0.0005202728,0.00028694965,0.00023943269,0.00011119043],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014188233,0.00031225054,0.0007762617,0.00028368706,0.0001670899,0.00011227891,0.00029122081,0.00014743795,0.0000022742308],"category_scores_gemma":[0.00016886194,0.0002769456,0.00019339491,0.00043181283,0.00003423957,0.00010155528,0.00006175573,0.00056492636,8.601078e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0072648097,0.017510278,0.03161576,0.004985049,0.0049810363,0.00046144673,0.016683845,0.51039773,0.023954134,0.35893106,0.014159689,0.009055122],"study_design_scores_gemma":[0.055019975,0.030877441,0.01704171,0.005545411,0.0010196393,0.00011085141,0.004103272,0.82331437,0.018980231,0.036845367,0.004599995,0.0025417218],"about_ca_topic_score_codex":0.0000048515303,"about_ca_topic_score_gemma":5.94435e-7,"teacher_disagreement_score":0.3220857,"about_ca_system_score_codex":0.00009412031,"about_ca_system_score_gemma":0.000053086416,"threshold_uncertainty_score":0.9999683},"labels":[],"label_agreement":null},{"id":"W4409603152","doi":"10.61091/jcmcc127b-114","title":"Analysis of the Influence of Scenic Spot Clustering and Group Emotion on Tourism Route Selection Based on Data Mining","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"People's Government of Jilin Province","keywords":"Cluster analysis; Tourism; Selection (genetic algorithm); Data mining; Group (periodic table); Computer science; Geography; Artificial intelligence; Archaeology; Chemistry","score_opus":0.023095936476498324,"score_gpt":0.31373836676966826,"score_spread":0.29064243029316994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995196,0.000028319591,0.0006807395,0.00031442786,0.0025005857,0.00021421736,0.000003887857,0.000009333283,0.0010525034],"genre_scores_gemma":[0.99876845,0.000022531542,0.0009072376,0.000019821746,0.0002639693,3.9133735e-7,8.643183e-7,0.000008283622,0.000008469921],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974556,0.0003373567,0.0007464291,0.00020751782,0.0010309166,0.0002221822],"domain_scores_gemma":[0.99665767,0.0014061623,0.0010393164,0.00033092313,0.00048191907,0.000084011626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036389544,0.00014733108,0.0005789713,0.00056034554,0.0004306426,0.00014136107,0.00073655887,0.00012444169,0.0000035421053],"category_scores_gemma":[0.0019726942,0.00012110512,0.00013767037,0.0012792894,0.00020575555,0.00021436095,0.00038937086,0.00035302513,1.1036611e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010157912,0.002479645,0.02965935,0.0008575332,0.0020744025,0.000028686023,0.007702981,0.029835315,0.0017883261,0.91348046,0.00042366525,0.010653853],"study_design_scores_gemma":[0.0130324345,0.0031175984,0.09440258,0.006934611,0.0036555047,0.0000064069627,0.007709926,0.66897255,0.0015626588,0.19929832,0.0004667097,0.0008406786],"about_ca_topic_score_codex":0.00022934935,"about_ca_topic_score_gemma":0.000018736657,"teacher_disagreement_score":0.71418214,"about_ca_system_score_codex":0.0001237802,"about_ca_system_score_gemma":0.00024566113,"threshold_uncertainty_score":0.49385235},"labels":[],"label_agreement":null},{"id":"W4409603154","doi":"10.61091/jcmcc127b-088","title":"Evaluation of the differences in competition strength of high-level table tennis matches: a case study based on a multiple regression model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Table (database); Statistics; Competition (biology); Regression analysis; Regression; Mathematics; Computer science; Data mining; Biology; Ecology","score_opus":0.05748891880735102,"score_gpt":0.271702282621962,"score_spread":0.21421336381461098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949717,0.00014497337,0.0016329419,0.000042768355,0.0025011497,0.0004252276,0.0000158158,0.000003103542,0.0002622995],"genre_scores_gemma":[0.99942034,0.000012061663,0.00047111296,0.0000062344434,0.00007120835,0.0000038135836,7.0041204e-7,0.000010083035,0.000004450211],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99774194,0.00007824112,0.0015053928,0.00017429765,0.00035392927,0.00014621195],"domain_scores_gemma":[0.99683356,0.00046907787,0.0018984778,0.00027192014,0.000488814,0.000038125414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038671591,0.00016901032,0.00081132405,0.00034956855,0.00012932316,0.00005018211,0.00025032987,0.00009408446,0.000007474216],"category_scores_gemma":[0.00067311525,0.00012894007,0.00011521097,0.00044603072,0.000056109606,0.00009405576,0.000093329705,0.00025731002,1.4569885e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022680695,0.006274152,0.1588157,0.00069289934,0.00021060063,0.000020606503,0.0034198363,0.042111047,0.000048136506,0.78698003,0.00003672152,0.0011634404],"study_design_scores_gemma":[0.0054651527,0.000442317,0.004706134,0.0013215197,0.0000878046,0.0000067016867,0.001010927,0.7676389,0.00017064974,0.21903546,0.0000019256288,0.000112497095],"about_ca_topic_score_codex":0.00028943593,"about_ca_topic_score_gemma":0.00002383424,"teacher_disagreement_score":0.7255279,"about_ca_system_score_codex":0.000107540975,"about_ca_system_score_gemma":0.00020497994,"threshold_uncertainty_score":0.5258023},"labels":[],"label_agreement":null},{"id":"W4409603157","doi":"10.61091/jcmcc127b-094","title":"Research on deep learning-based fault diagnosis of power metering system","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metering mode; Fault (geology); Deep learning; Computer science; Artificial intelligence; Electric power system; Power (physics); Reliability engineering; Engineering; Geology; Seismology; Mechanical engineering","score_opus":0.01778631225507771,"score_gpt":0.2805411991321871,"score_spread":0.2627548868771094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9251631,0.0009725168,0.007043437,0.00003591317,0.059897337,0.00032150777,0.0000017669664,0.00011188791,0.0064525255],"genre_scores_gemma":[0.99837595,0.000024157915,0.0004219054,0.000004233933,0.0011227834,0.0000058734017,5.3372327e-7,0.000040149287,0.000004421532],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971705,0.0002468586,0.0012291117,0.00016833183,0.00081278593,0.00037240874],"domain_scores_gemma":[0.99636304,0.0021294132,0.00042099057,0.00025706354,0.00069484365,0.00013463359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029574046,0.0002647269,0.00087529636,0.00064618775,0.00022447939,0.00014683456,0.00040631994,0.00020331531,0.000004476774],"category_scores_gemma":[0.00039625817,0.00024018233,0.00020331993,0.0006601782,0.00007204152,0.00008692651,0.00010775955,0.00087116676,0.0000028405168],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002619639,0.00080326933,0.0020554778,0.00511975,0.00069487334,0.00007270413,0.0021294265,0.04529448,0.001005678,0.9384355,0.0024856194,0.0016412429],"study_design_scores_gemma":[0.037315782,0.01258713,0.0018525636,0.04173789,0.00087797147,0.00021118543,0.016832855,0.6735407,0.076612696,0.08817454,0.04721418,0.0030425193],"about_ca_topic_score_codex":0.000007142741,"about_ca_topic_score_gemma":2.4101257e-7,"teacher_disagreement_score":0.850261,"about_ca_system_score_codex":0.00019201657,"about_ca_system_score_gemma":0.000078161866,"threshold_uncertainty_score":0.97943515},"labels":[],"label_agreement":null},{"id":"W4409603158","doi":"10.61091/jcmcc127b-081","title":"Quantitative Study on the Communication Effectiveness of Changsha City Brand Image from “Online Star City” to “Long-term Famous City” Based on Big Data Regression Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Term (time); Star (game theory); Big data; Regression analysis; Geography; Cartography; Computer science; Data mining; Mathematics; Machine learning; Astronomy","score_opus":0.08017729629984056,"score_gpt":0.33119704098559705,"score_spread":0.2510197446857565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981088,0.000051596275,0.013157103,0.0012634782,0.0032948025,0.0008180748,0.000020723104,0.000041742198,0.00026452664],"genre_scores_gemma":[0.9983969,0.0000055960827,0.0008365197,0.00019286858,0.00049138075,0.00000636719,0.000043940156,0.000025216272,0.0000012146045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976371,0.00019820861,0.0010311566,0.00031195744,0.0005957542,0.00022585884],"domain_scores_gemma":[0.994355,0.0024331624,0.0011666783,0.0009804524,0.0010400645,0.000024590228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034547567,0.00031048173,0.0007752903,0.0006595708,0.0006026461,0.00026588066,0.0013091792,0.00015062583,0.000005394143],"category_scores_gemma":[0.0020282704,0.00022903486,0.00010004861,0.0010980186,0.000118466385,0.0003327949,0.00097367604,0.000728183,0.0000014276624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031634087,0.01233524,0.040417433,0.0009608936,0.0008403204,0.00003209308,0.0012538555,0.00048542084,0.003032802,0.9329606,0.00049666053,0.004021221],"study_design_scores_gemma":[0.018007565,0.0020646274,0.030678937,0.011793926,0.0009226186,0.0000026763828,0.005403501,0.21169902,0.0016137909,0.71684486,0.000069463975,0.0008989862],"about_ca_topic_score_codex":0.00019405346,"about_ca_topic_score_gemma":0.000016891283,"teacher_disagreement_score":0.21611577,"about_ca_system_score_codex":0.000063877575,"about_ca_system_score_gemma":0.000075381446,"threshold_uncertainty_score":0.93397707},"labels":[],"label_agreement":null},{"id":"W4409603160","doi":"10.61091/jcmcc127b-110","title":"A secret image sharing scheme with improved embedding capacity and a deception recognition mechanism","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Guilin University of Technology; National Natural Science Foundation of China","keywords":"Deception; Embedding; Scheme (mathematics); Mechanism (biology); Secret sharing; Computer science; Image (mathematics); Computer security; Image sharing; Internet privacy; Artificial intelligence; Psychology; Cryptography; Social psychology; Mathematics; Epistemology; Philosophy","score_opus":0.013725534549448899,"score_gpt":0.25496263181019396,"score_spread":0.24123709726074508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603160","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45347908,0.00005211272,0.544189,0.00007052997,0.0017182904,0.00018563365,6.380146e-7,0.00008524509,0.00021949732],"genre_scores_gemma":[0.70907784,0.000028980638,0.29070023,0.000022661456,0.00015384039,0.0000029556309,5.166176e-7,0.000011605394,0.0000014105728],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983365,0.00006820469,0.0006864518,0.00030595282,0.0003160498,0.00028685416],"domain_scores_gemma":[0.9981356,0.00025893594,0.0007347748,0.00025779443,0.0004944345,0.000118414224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012843267,0.0002615838,0.0005196362,0.0003386168,0.00036967502,0.0005237624,0.00046795444,0.00013946678,6.487379e-7],"category_scores_gemma":[0.00016384356,0.00022257601,0.00009337276,0.00043153542,0.00008413405,0.0007702056,0.0004151703,0.00046334445,1.7843435e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008118403,0.0001718952,0.000113701135,0.00026608192,0.000098941804,0.000014675241,0.0011169717,0.0000016962778,0.009182883,0.9845246,0.000012002983,0.004415366],"study_design_scores_gemma":[0.0022674773,0.0005449578,0.00003373569,0.00098451,0.0000509459,0.0001217968,0.00012070337,0.053396385,0.01042021,0.9317722,0.00003710232,0.00024997877],"about_ca_topic_score_codex":0.0000060109096,"about_ca_topic_score_gemma":3.36538e-7,"teacher_disagreement_score":0.25559875,"about_ca_system_score_codex":0.000063724394,"about_ca_system_score_gemma":0.00006271049,"threshold_uncertainty_score":0.90763867},"labels":[],"label_agreement":null},{"id":"W4409603163","doi":"10.61091/jcmcc127b-095","title":"Application and Challenges of IoT Technology in the Logistics Economy: Efficiency Enhancement in Smart Warehousing and Automated Delivery Systems","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internet of Things; Business; Computer science; Data science; Engineering management; Engineering; Embedded system","score_opus":0.01044631787635635,"score_gpt":0.2315088353477577,"score_spread":0.22106251747140135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81688434,0.0074153277,0.17211603,0.00016649032,0.002488142,0.00043985402,8.2052077e-7,0.000066926244,0.00042204335],"genre_scores_gemma":[0.9972189,0.00082772237,0.0018891274,0.000002651565,0.00004926149,0.0000032789337,3.3022306e-7,0.000008490199,2.0536484e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898785,0.00003774505,0.0006361101,0.000102874146,0.0001003103,0.00013512981],"domain_scores_gemma":[0.99909794,0.00040697787,0.00026594492,0.00010577491,0.0001024171,0.000020940368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007376679,0.00012816576,0.0003793122,0.00029594486,0.00005768657,0.00004356364,0.00012597973,0.000110602836,6.40005e-8],"category_scores_gemma":[0.00013439615,0.00010954352,0.000016192189,0.00019738804,0.00007156853,0.000042434785,0.00006257173,0.00022024172,3.662716e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020359574,0.0001915991,0.00023200636,0.00124602,0.000032109718,0.000005201005,0.0010250158,0.11587729,0.00022907049,0.87806094,0.0000048442375,0.003075534],"study_design_scores_gemma":[0.0016102553,0.00017696447,0.00022978461,0.00060031767,0.00003291616,0.00001737931,0.0010418002,0.7398009,0.0004490671,0.25584304,0.00006839014,0.00012919673],"about_ca_topic_score_codex":0.0000069414823,"about_ca_topic_score_gemma":7.7280777e-7,"teacher_disagreement_score":0.6239236,"about_ca_system_score_codex":0.000063777574,"about_ca_system_score_gemma":0.000026264534,"threshold_uncertainty_score":0.44670552},"labels":[],"label_agreement":null},{"id":"W4409603167","doi":"10.61091/jcmcc127b-085","title":"Research on Elliptic Curve Cryptography Hardware Encryption System Based on FPGA","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Anhui University","keywords":"Encryption; Elliptic curve cryptography; Field-programmable gate array; Computer science; Cryptography; Elliptic Curve Digital Signature Algorithm; Embedded system; Computer hardware; Public-key cryptography; Computer security","score_opus":0.02214267863809532,"score_gpt":0.2962784756390282,"score_spread":0.2741357970009329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603167","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40612474,0.0009328414,0.51584053,0.0014861289,0.055605553,0.0014048063,0.000004784797,0.00036420592,0.01823641],"genre_scores_gemma":[0.98882776,0.000024010675,0.010355234,0.00006534445,0.00069374667,0.000005890697,7.5131675e-7,0.00002302983,0.0000042168003],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99554205,0.0006037276,0.0011850626,0.0004661872,0.0016255311,0.0005774602],"domain_scores_gemma":[0.99437255,0.0028047871,0.00070496707,0.0007107154,0.0011657861,0.00024120713],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004748134,0.00037189806,0.0007885097,0.001834358,0.00080758677,0.0007270474,0.001321043,0.00026376502,0.0000022748127],"category_scores_gemma":[0.0003917572,0.00031204466,0.00038557098,0.0022851732,0.0001706004,0.00024090271,0.00030761206,0.0012316025,0.0000074923023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012180474,0.0008245008,0.00010927964,0.0003987997,0.00008947212,0.00004752577,0.00029222702,0.00059319765,0.00009440285,0.99455214,0.0004633403,0.0024133234],"study_design_scores_gemma":[0.0073601124,0.0037988503,0.00080453197,0.005072399,0.00010649891,0.000047021196,0.0008315529,0.1256719,0.0025303788,0.8517336,0.0014598652,0.0005832681],"about_ca_topic_score_codex":0.0000074654354,"about_ca_topic_score_gemma":1.7170468e-7,"teacher_disagreement_score":0.58270305,"about_ca_system_score_codex":0.00018832722,"about_ca_system_score_gemma":0.00029822098,"threshold_uncertainty_score":0.9999332},"labels":[],"label_agreement":null},{"id":"W4409603170","doi":"10.61091/jcmcc127b-108","title":"A Study on Trust Clustering of Perceived Recommendations Considering Patient’s Trust Propensity in the Context of “Internet+Healthcare” Services","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Consumer Perception and Purchasing Behavior","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Context (archaeology); Health care; The Internet; Cluster analysis; Internet privacy; Psychology; Business; World Wide Web; Computer science; Political science; Geography; Artificial intelligence","score_opus":0.04441936635473811,"score_gpt":0.2950144016159418,"score_spread":0.2505950352612037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99403167,0.000032006526,0.000058187587,0.0005204581,0.0043170443,0.00055341807,0.0000017486591,0.0000113184515,0.0004741364],"genre_scores_gemma":[0.99947476,0.000005195488,0.00013101287,0.00015937157,0.00020815378,0.0000035787439,0.0000016695876,0.000013072644,0.0000031738205],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9978826,0.00010888598,0.0012692105,0.0001607013,0.00040251328,0.00017606276],"domain_scores_gemma":[0.9976394,0.00035893734,0.0012424092,0.0002142035,0.00052676775,0.000018255361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013994868,0.00019810957,0.0006538452,0.0004057095,0.00016440822,0.0001925882,0.0003537967,0.000074765056,0.000009705856],"category_scores_gemma":[0.00018617368,0.00015521342,0.00011814099,0.00040291727,0.00006968455,0.00022370559,0.00022999264,0.0003742346,8.970045e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017053934,0.013214492,0.25215992,0.005148448,0.000516761,0.000092855305,0.094148,0.00010896376,0.0016142013,0.59696245,0.00060046755,0.03372804],"study_design_scores_gemma":[0.051330764,0.0051686065,0.3229091,0.020483911,0.0017388182,0.00013866632,0.39697117,0.03262778,0.0007872835,0.16029668,0.0055855974,0.0019616548],"about_ca_topic_score_codex":0.00040324932,"about_ca_topic_score_gemma":0.000055296656,"teacher_disagreement_score":0.4366658,"about_ca_system_score_codex":0.000048042835,"about_ca_system_score_gemma":0.00006206085,"threshold_uncertainty_score":0.63294196},"labels":[],"label_agreement":null},{"id":"W4409603176","doi":"10.61091/jcmcc127b-086","title":"Research on malware detection and defense system based on machine learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Malware; Computer science; Computer security; Artificial intelligence; Machine learning","score_opus":0.019340800978044095,"score_gpt":0.30335520144165545,"score_spread":0.28401440046361137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603176","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1571836,0.00025878995,0.8261571,0.00031997773,0.011795722,0.0005795772,0.0000011179188,0.0004018356,0.0033022678],"genre_scores_gemma":[0.9887104,0.000016123338,0.0108976625,0.00003512809,0.0003032598,0.0000051988677,2.1029821e-7,0.000022048145,0.000009962816],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99718374,0.0004453343,0.00079103647,0.00035859863,0.0008706529,0.0003506473],"domain_scores_gemma":[0.9959775,0.0021074375,0.0006005996,0.00036616332,0.00079723395,0.00015106027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035166654,0.00026681938,0.0005555229,0.00094350806,0.00073967857,0.0004047099,0.00052733946,0.00019021517,6.7753564e-7],"category_scores_gemma":[0.0008412627,0.00024044183,0.000108912915,0.0008824179,0.00008454314,0.00022075139,0.00033820322,0.0012994278,0.0000015625671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020087806,0.00026215668,0.00004690786,0.0003335888,0.00003524951,0.000041482792,0.00019317064,0.00069983816,0.0004840703,0.9838824,0.00003475726,0.013785475],"study_design_scores_gemma":[0.0050619785,0.0052099987,0.00011024371,0.002521097,0.000044823377,0.00014068796,0.00048391504,0.5369464,0.017097877,0.43045875,0.0014807924,0.00044345926],"about_ca_topic_score_codex":0.000008421128,"about_ca_topic_score_gemma":3.728435e-7,"teacher_disagreement_score":0.8315268,"about_ca_system_score_codex":0.00028115817,"about_ca_system_score_gemma":0.00011764825,"threshold_uncertainty_score":0.98049337},"labels":[],"label_agreement":null},{"id":"W4409603178","doi":"10.61091/jcmcc127b-124","title":"A Practical Path of Digital Translation of Non-Heritage in Ethnic Graphic Design Based on Artificial Intelligence Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Guangxi University; Guangxi University for Nationalities","keywords":"Path (computing); Ethnic group; Computer science; Translation (biology); Artificial intelligence; Computer graphics (images); Computer vision; Engineering drawing; Engineering; Programming language; Sociology","score_opus":0.05350901003336498,"score_gpt":0.3318760858587653,"score_spread":0.2783670758254003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07094521,0.00006676657,0.9236785,0.00018193353,0.004438506,0.0002959489,0.0000018898288,0.000014664969,0.00037654818],"genre_scores_gemma":[0.9251109,0.000011140144,0.07475204,0.000009783214,0.00010304994,0.0000017004253,5.0524454e-7,0.000010274145,6.0307656e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99723107,0.00012266223,0.0014862105,0.00022193852,0.0006901984,0.00024793568],"domain_scores_gemma":[0.99620736,0.002153233,0.00088989787,0.00025177177,0.00039253334,0.00010523565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016963652,0.00022327664,0.0007189019,0.00042508103,0.00005562092,0.00015626087,0.00050474313,0.00014496477,8.597811e-7],"category_scores_gemma":[0.0004914235,0.0002011965,0.00017828775,0.0010529846,0.00011318176,0.000502445,0.00011920377,0.0004088241,5.2680826e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022724006,0.0030340154,0.00006920189,0.0003745171,0.00006748165,0.000045372926,0.0012645605,0.00044215142,0.0005697528,0.8790859,0.000015533142,0.11480425],"study_design_scores_gemma":[0.0011204235,0.001776432,0.00007437576,0.0011007104,0.000029193652,0.000008674973,0.0002373439,0.45176116,0.0046643857,0.53906786,0.0000059912213,0.0001534663],"about_ca_topic_score_codex":0.0000021368382,"about_ca_topic_score_gemma":1.0696835e-7,"teacher_disagreement_score":0.8541657,"about_ca_system_score_codex":0.00004087352,"about_ca_system_score_gemma":0.000330499,"threshold_uncertainty_score":0.8204555},"labels":[],"label_agreement":null},{"id":"W4409603181","doi":"10.61091/jcmcc127b-116","title":"Reading Bimodal Emotion Recognition and Psychological Analysis on the Big Data Blockchain Network Platform","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Reading (process); Big data; Computer science; Emotion recognition; Psychology; Data science; Artificial intelligence; Computer security; Data mining; Linguistics; Philosophy","score_opus":0.09563476601041189,"score_gpt":0.33236310028670846,"score_spread":0.23672833427629658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96496713,0.00013951966,0.0075467597,0.00058759074,0.021062065,0.00031004794,0.0000095211435,0.000037111462,0.0053402614],"genre_scores_gemma":[0.996877,0.000046116136,0.00064342597,0.0001728062,0.002200825,0.0000025312127,0.00001749568,0.00001580406,0.00002401021],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977103,0.00029074686,0.0009756063,0.00034701623,0.00037098964,0.0003053429],"domain_scores_gemma":[0.9967672,0.0015312367,0.00085691566,0.0004403672,0.00029114785,0.00011309404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033861015,0.00024561727,0.00062162307,0.0003807103,0.00044510516,0.00020209301,0.00039687628,0.00025184214,0.000032677617],"category_scores_gemma":[0.0005791187,0.0001763449,0.00015363019,0.00089607417,0.00010889191,0.00007690551,0.00023419905,0.0006600199,0.000006375003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004452183,0.0013869107,0.00052516453,0.0000767181,0.0015011625,0.000023539094,0.0013004912,0.0000435868,0.000065632026,0.92100483,0.0030225986,0.07060413],"study_design_scores_gemma":[0.0044826525,0.0011541581,0.0023806628,0.0005902915,0.0012612238,0.00009333791,0.0014056073,0.0074452427,0.00004387217,0.9802487,0.0005812281,0.00031306132],"about_ca_topic_score_codex":0.0000107349015,"about_ca_topic_score_gemma":9.595625e-7,"teacher_disagreement_score":0.070291065,"about_ca_system_score_codex":0.000044597426,"about_ca_system_score_gemma":0.000033707132,"threshold_uncertainty_score":0.7191136},"labels":[],"label_agreement":null},{"id":"W4409603185","doi":"10.61091/jcmcc127b-117","title":"Evaluation and Analysis of Tourism Ecological Environment Statistical Monitoring Indicator System Based on Intelligent","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tourism; Statistical analysis; Environmental resource management; Environmental science; Computer science; Ecology; Geography; Biology; Statistics; Mathematics; Archaeology","score_opus":0.01933697088751063,"score_gpt":0.2729619248377628,"score_spread":0.2536249539502522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773113,0.00010106341,0.0171172,0.00033204246,0.0036118156,0.0003110237,0.000002525248,0.000031281357,0.001181715],"genre_scores_gemma":[0.9977636,0.000007801949,0.001778431,0.000038406466,0.00039200482,0.000004670872,0.0000042027946,0.000010096181,8.1066656e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978936,0.000055531957,0.0010101157,0.00018932695,0.000672197,0.00017927156],"domain_scores_gemma":[0.99763834,0.0006743278,0.001048555,0.00019204273,0.00042247685,0.000024276185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027474225,0.00018994941,0.0006743797,0.0010852113,0.00021270927,0.00012867482,0.00022548047,0.00017124147,0.000014956121],"category_scores_gemma":[0.000623954,0.00016446928,0.00011052021,0.0007413649,0.00013579523,0.00012532699,0.00018353747,0.00033828174,0.0000015075815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048592236,0.00064888305,0.011169734,0.00023873267,0.0005498205,0.0000075465473,0.000046531517,0.00045423617,0.00008164576,0.98206615,0.00006882551,0.004619274],"study_design_scores_gemma":[0.006147209,0.00060462137,0.042065248,0.001050476,0.007864331,0.00000539427,0.0019038807,0.5161576,0.00068084407,0.42241588,0.0005990089,0.00050545315],"about_ca_topic_score_codex":0.000012467462,"about_ca_topic_score_gemma":2.23698e-7,"teacher_disagreement_score":0.5596503,"about_ca_system_score_codex":0.00013549998,"about_ca_system_score_gemma":0.00006385091,"threshold_uncertainty_score":0.67068624},"labels":[],"label_agreement":null},{"id":"W4409603186","doi":"10.61091/jcmcc127b-141","title":"Research on the optimization of the ideological education mode in the cultivation of big data talents in colleges and universities based on time series analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"South China University of Technology","keywords":"Ideology; Series (stratigraphy); Big data; Mode (computer interface); Mathematics education; Time series; Sociology; Data science; Political science; Computer science; Psychology; Data mining; Machine learning; Law; Biology; Operating system","score_opus":0.059170350614571876,"score_gpt":0.37198294463201875,"score_spread":0.3128125940174469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98961496,0.000032528824,0.00024522102,0.005267981,0.0013014205,0.0002803005,0.0000033831566,0.0000020993932,0.0032520914],"genre_scores_gemma":[0.99958354,0.000017973764,0.00017621157,0.000051374427,0.00014360371,0.0000013621949,0.0000020081927,0.0000019066846,0.000022033748],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99773896,0.0010599936,0.0004424338,0.00010118334,0.0005305265,0.00012688483],"domain_scores_gemma":[0.99559975,0.0034791296,0.00033063878,0.00019140156,0.00037540562,0.000023695704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041645183,0.00007230997,0.0002557044,0.0002740405,0.00030660836,0.000057525533,0.0004942215,0.000091667265,0.0000044139697],"category_scores_gemma":[0.0018366507,0.000039195627,0.000046209752,0.0013378586,0.00039494835,0.000088472465,0.00011899155,0.0002927315,7.5180175e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084212166,0.0005267173,0.002120768,0.000034162684,0.000022039274,2.3700653e-7,0.0028184352,0.0029170031,0.000007403983,0.99120384,0.000092067196,0.00017313141],"study_design_scores_gemma":[0.0014759394,0.00054683076,0.018591361,0.00081353716,0.000164287,7.250654e-7,0.04026882,0.067487836,0.00014872011,0.87014407,0.00023011972,0.00012774482],"about_ca_topic_score_codex":0.00031742323,"about_ca_topic_score_gemma":0.000019720364,"teacher_disagreement_score":0.12105974,"about_ca_system_score_codex":0.000089143774,"about_ca_system_score_gemma":0.0004939115,"threshold_uncertainty_score":0.23582147},"labels":[],"label_agreement":null},{"id":"W4409603187","doi":"10.61091/jcmcc127b-121","title":"An empirical study on the design of intelligent auxiliary teaching system and teaching interaction effect of Ideological and Political classes in universities based on fuzzy comprehensive evaluation method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ideology; Fuzzy logic; Politics; Mathematics education; Empirical research; Computer science; Sociology; Engineering; Engineering management; Artificial intelligence; Psychology; Political science; Epistemology; Philosophy; Law","score_opus":0.037487419104013014,"score_gpt":0.373614962431956,"score_spread":0.33612754332794303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99063885,0.00000864331,0.0070593287,0.00020526201,0.00090067077,0.00043125724,5.759198e-7,0.0000045645015,0.0007508645],"genre_scores_gemma":[0.9980271,6.4885114e-7,0.0018778958,0.000026778634,0.00005880599,0.0000025723511,5.644279e-7,0.000005130178,5.2756184e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973468,0.0012951465,0.0006231866,0.00014926457,0.00046425848,0.000121337434],"domain_scores_gemma":[0.99410933,0.005188662,0.00042804203,0.00011759124,0.000105015024,0.0000513566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005121326,0.0001402712,0.00040381748,0.0001809438,0.00020009966,0.000045459416,0.00013755888,0.000069822934,0.0000023562134],"category_scores_gemma":[0.0007007863,0.00008957561,0.000040265702,0.00012815933,0.00010533474,0.00012923377,0.000095303134,0.00047044095,9.626259e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040733855,0.001375338,0.021669293,0.00014435902,0.00005718974,0.000002463357,0.002168906,0.004401631,0.00081637804,0.9670136,0.000018953366,0.0019245623],"study_design_scores_gemma":[0.006204935,0.013930088,0.072962075,0.0019938464,0.0003504577,0.000030737297,0.05706527,0.6080518,0.002158407,0.23690976,0.000021275531,0.00032136045],"about_ca_topic_score_codex":0.00007081327,"about_ca_topic_score_gemma":5.740413e-7,"teacher_disagreement_score":0.73010385,"about_ca_system_score_codex":0.00028735088,"about_ca_system_score_gemma":0.00007042792,"threshold_uncertainty_score":0.36527875},"labels":[],"label_agreement":null},{"id":"W4409603190","doi":"10.61091/jcmcc127b-109","title":"Shared Supply Chain: Strategy Selection and Optimization for Blockchain Technology Implementation Methods","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Young Scientists Fund; Natural Science Foundation for Young Scientists of Shanxi Province; National Natural Science Foundation of China","keywords":"Blockchain; Supply chain; Selection (genetic algorithm); Computer science; Supply chain optimization; Supply chain management; Business; Artificial intelligence; Computer security; Marketing","score_opus":0.013004383483379647,"score_gpt":0.3167326175267842,"score_spread":0.3037282340434046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603190","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1060262,0.00045141947,0.88955337,0.0012960696,0.0020085804,0.000523313,0.0000016887313,0.000093972,0.000045373472],"genre_scores_gemma":[0.65206605,0.000022351252,0.3477365,0.000022896535,0.00012405451,0.000016158401,0.0000010157559,0.000009077582,0.0000018688871],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99836427,0.00009083171,0.0008358227,0.0002826549,0.00017825648,0.00024817075],"domain_scores_gemma":[0.9978288,0.00047965063,0.0007291293,0.0002185321,0.0006761418,0.00006775867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017896721,0.00020239658,0.0004830046,0.0005756845,0.0004280944,0.00022255821,0.00047623087,0.00026544006,0.0000017660701],"category_scores_gemma":[0.00024240569,0.0001995172,0.000074818316,0.0008622293,0.00006959395,0.00011474502,0.00026529696,0.00032008992,8.863597e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015857511,0.00014575227,0.00008585782,0.00008970394,0.00006792573,6.920623e-7,0.00021016388,0.0005368167,0.0005497871,0.95928776,0.0000686159,0.038941074],"study_design_scores_gemma":[0.0019820167,0.0003890122,0.00002555127,0.00006384886,0.000043027852,0.000034163193,0.00025480462,0.37033862,0.002489544,0.624056,0.0002009963,0.00012244639],"about_ca_topic_score_codex":0.0000049720456,"about_ca_topic_score_gemma":8.6553973e-7,"teacher_disagreement_score":0.5460399,"about_ca_system_score_codex":0.00007115478,"about_ca_system_score_gemma":0.00015630158,"threshold_uncertainty_score":0.8136076},"labels":[],"label_agreement":null},{"id":"W4409603194","doi":"10.61091/jcmcc127b-140","title":"Research on Optimization Methods of Knowledge Discovery Algorithms for Library Data Mining","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"Computer science; Knowledge extraction; Data mining; Data science; Algorithm; Information retrieval","score_opus":0.09402424131578067,"score_gpt":0.4174308182576229,"score_spread":0.3234065769418422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603194","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004057749,0.0004323044,0.9862484,0.00036118634,0.007190617,0.0003357668,0.000018770967,0.000032635067,0.0013226202],"genre_scores_gemma":[0.077444114,0.00006298514,0.92168343,0.000017860253,0.0007091742,0.00000638625,0.0000132690775,0.000022537677,0.000040270683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974963,0.00027850247,0.001101276,0.00038223658,0.0004427755,0.0002989107],"domain_scores_gemma":[0.99277663,0.0048318147,0.0007473321,0.0008859205,0.0006558041,0.000102472986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053298366,0.00019526308,0.0006195361,0.000527234,0.00036685402,0.00055562094,0.002248462,0.00013273775,9.296418e-7],"category_scores_gemma":[0.0009273173,0.00017307012,0.00010263694,0.0011224893,0.000110087516,0.0010744928,0.0016000726,0.00037812456,3.1069573e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033268298,0.00065003755,0.000008654005,0.00020617679,0.00008629026,0.0000013692643,0.00047477934,0.000300897,0.00007258478,0.939047,0.0024697576,0.0566492],"study_design_scores_gemma":[0.002000856,0.0006110988,0.000014982405,0.0007677387,0.000049366063,0.000008433777,0.00036731895,0.7011122,0.0015137335,0.2903542,0.0030342047,0.00016586961],"about_ca_topic_score_codex":0.0000025497536,"about_ca_topic_score_gemma":4.4701117e-8,"teacher_disagreement_score":0.7008113,"about_ca_system_score_codex":0.000041803665,"about_ca_system_score_gemma":0.00045676334,"threshold_uncertainty_score":0.70575947},"labels":[],"label_agreement":null},{"id":"W4409603195","doi":"10.61091/jcmcc127b-138","title":"A Methodological Study on the Quality Assessment of Online-Offline Blended Teaching in Physical Education Courses Using the Assignment Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Mathematics education; Online and offline; Computer science; Physical education; Multimedia; Psychology","score_opus":0.1697208094904839,"score_gpt":0.47176591538423934,"score_spread":0.30204510589375544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.864306,0.00003496823,0.1284343,0.0012807515,0.0047874213,0.00041982337,4.6126695e-7,0.000011817372,0.00072446227],"genre_scores_gemma":[0.9770013,0.0000016051724,0.022587225,0.00006045803,0.00033107656,0.0000052705714,4.3913107e-7,0.0000062983295,0.000006345483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99571,0.0022060089,0.0010795717,0.00020290792,0.0006308775,0.00017063388],"domain_scores_gemma":[0.9942283,0.0038943817,0.0011662723,0.00038442362,0.0002775639,0.000049026046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008451173,0.00017749687,0.000568766,0.0001922121,0.00032364888,0.00019253901,0.00082952646,0.00005884729,9.752222e-7],"category_scores_gemma":[0.0015328339,0.00010380161,0.00018157702,0.00041812647,0.000075813216,0.000109746645,0.00028278984,0.00091703155,6.745569e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014533008,0.009586969,0.0022135498,0.000056465153,0.000084079766,6.047308e-7,0.004452664,0.0006556061,0.00017075542,0.9812544,0.000042937216,0.0014674632],"study_design_scores_gemma":[0.0037207648,0.0017073001,0.04407507,0.001061006,0.00017928964,0.00002048825,0.038251013,0.24920693,0.00013913013,0.66118246,0.00014480064,0.00031173474],"about_ca_topic_score_codex":0.000024702806,"about_ca_topic_score_gemma":5.6847483e-7,"teacher_disagreement_score":0.3200719,"about_ca_system_score_codex":0.00014075854,"about_ca_system_score_gemma":0.00054043636,"threshold_uncertainty_score":0.42329067},"labels":[],"label_agreement":null},{"id":"W4409603200","doi":"10.61091/jcmcc127b-145","title":"Research on multi-scale assessment and design of urban micro-landscape greening based on distributed computing frameworks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Greening; Scale (ratio); Computer science; Urban landscape; Urban greening; Environmental resource management; Environmental science; Environmental planning; Geography; Cartography; Political science","score_opus":0.04123279153178633,"score_gpt":0.3535431918483036,"score_spread":0.31231040031651724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603200","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2567674,0.00013033177,0.7361356,0.00026605214,0.005909411,0.0003669429,0.0000026361784,0.000038694205,0.00038291732],"genre_scores_gemma":[0.9228811,0.000009574158,0.0767573,0.0000460671,0.0002812543,0.0000018255531,0.0000013595263,0.000018183167,0.0000033258316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996529,0.0003990704,0.0011525387,0.0003866319,0.0010539695,0.00047878202],"domain_scores_gemma":[0.993371,0.0043904376,0.0007721325,0.0004031581,0.00083327445,0.00022999043],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0039756773,0.00031766298,0.00083904504,0.0004988812,0.00042003772,0.0005248928,0.00083648105,0.0002802218,0.0000011463228],"category_scores_gemma":[0.00039676685,0.0002745117,0.0001350822,0.00089669554,0.00015898072,0.00022212623,0.00052711874,0.001400082,7.706863e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032636966,0.0033974128,0.0025729816,0.00062245096,0.00020221634,0.00006236621,0.0015696133,0.0033844353,0.001007815,0.9759961,0.0007642669,0.010093981],"study_design_scores_gemma":[0.006382603,0.0033707398,0.0019578882,0.003971906,0.000050793486,0.000015040715,0.00044190398,0.858213,0.0016539211,0.12350252,0.000093364484,0.00034629935],"about_ca_topic_score_codex":0.0000030026324,"about_ca_topic_score_gemma":5.227431e-8,"teacher_disagreement_score":0.8548286,"about_ca_system_score_codex":0.00011026368,"about_ca_system_score_gemma":0.00030623478,"threshold_uncertainty_score":0.99997073},"labels":[],"label_agreement":null},{"id":"W4409603201","doi":"10.61091/jcmcc127b-136","title":"Analyzing the effect of ESG ratings on spatial heterogeneity of firms’ total factor productivity based on improved K-means algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Factor (programming language); Total factor productivity; Algorithm; Computer science; Econometrics; Business; Data mining; Mathematics; Economics","score_opus":0.00924452815952719,"score_gpt":0.21708051333848993,"score_spread":0.20783598517896273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97072804,0.00014647227,0.021473782,0.00013576222,0.00654847,0.00040291902,0.000022067845,0.000010776705,0.0005317398],"genre_scores_gemma":[0.9984951,0.000008729643,0.0009902746,0.000012557186,0.00045276785,0.0000039531487,0.0000013737158,0.000028919392,0.000006321496],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973339,0.00014474416,0.0017328574,0.00035114,0.00015449,0.00028287357],"domain_scores_gemma":[0.99517965,0.0013358735,0.0028366575,0.00046475863,0.00009790286,0.00008513885],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022855606,0.00033271444,0.0013106182,0.00032913807,0.00018802896,0.000080387086,0.00042459255,0.00016274546,0.000007668694],"category_scores_gemma":[0.000992807,0.00027796338,0.00037645953,0.00026222967,0.00014609558,0.00011741647,0.00015890873,0.00047976998,0.0000012179828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018440254,0.004422125,0.07244755,0.002301609,0.001994388,0.000018500052,0.0014948996,0.013163251,0.0032255624,0.86833525,0.00014750769,0.03060531],"study_design_scores_gemma":[0.02377466,0.013586921,0.019931514,0.0015634546,0.00034003076,0.000024041155,0.00012310062,0.5535275,0.12315981,0.2624772,0.00027308764,0.0012187462],"about_ca_topic_score_codex":0.000050888862,"about_ca_topic_score_gemma":7.7480746e-7,"teacher_disagreement_score":0.6058581,"about_ca_system_score_codex":0.0001692932,"about_ca_system_score_gemma":0.000055725108,"threshold_uncertainty_score":0.9999673},"labels":[],"label_agreement":null},{"id":"W4409603209","doi":"10.61091/jcmcc127b-075","title":"Identification of Key Quality Defects and Intelligent Operation and Maintenance of Distribution Networks Based on Transformer Framework","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Transformer; Key (lock); Computer science; Distribution transformer; Quality (philosophy); Reliability engineering; Engineering; Electrical engineering; Computer security; Voltage","score_opus":0.008579791078885802,"score_gpt":0.251027133164455,"score_spread":0.24244734208556923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64681363,0.0004294177,0.34184036,0.000026901838,0.010617741,0.00017692268,0.0000044284375,0.000011611641,0.00007901393],"genre_scores_gemma":[0.99919415,0.000110756555,0.00031652147,0.0000051283614,0.00035876987,0.0000012852244,0.0000023524276,0.0000102996655,7.341782e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983767,0.00007885908,0.0010771833,0.00010188996,0.00023985181,0.0001254839],"domain_scores_gemma":[0.9985024,0.0006483419,0.0004426756,0.00012379528,0.0002251924,0.000057648194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013911302,0.00014926534,0.0004969451,0.00009510307,0.00007622311,0.00006268314,0.000094407005,0.00013937583,7.3263806e-7],"category_scores_gemma":[0.00024114596,0.00013358537,0.00007170781,0.0001613798,0.000058984944,0.00007952754,0.000018266257,0.00024542797,7.362805e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017530679,0.00026947644,0.001725144,0.001715594,0.00011436881,0.000001213147,0.0011496359,0.011319725,0.0029810825,0.9787185,0.00018322539,0.0016467106],"study_design_scores_gemma":[0.00613862,0.0012238731,0.0054255426,0.005527572,0.00029995295,0.000018008937,0.00078461785,0.7386404,0.03830311,0.20252952,0.0005415236,0.000567218],"about_ca_topic_score_codex":0.0000036089305,"about_ca_topic_score_gemma":2.896291e-7,"teacher_disagreement_score":0.77618897,"about_ca_system_score_codex":0.000043433145,"about_ca_system_score_gemma":0.000031008738,"threshold_uncertainty_score":0.5447454},"labels":[],"label_agreement":null},{"id":"W4409603223","doi":"10.61091/jcmcc127b-072","title":"Prediction and Anomaly Detection of Coal Mill Outlet Pressure Using a PSO-3DResNet Model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Anomaly (physics); Anomaly detection; Coal; Mill; Environmental science; Geology; Mining engineering; Artificial intelligence; Computer science; Engineering; Physics; Waste management; Mechanical engineering","score_opus":0.014037651782078529,"score_gpt":0.2342551103570472,"score_spread":0.2202174585749687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94140327,0.0010974541,0.052334443,0.000009280587,0.0046344567,0.00013270155,0.0000047315584,0.00004166553,0.00034198968],"genre_scores_gemma":[0.99690974,0.00004402656,0.0026121985,0.000003298875,0.0004002616,6.597706e-7,4.937525e-7,0.000022469141,0.000006838634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851197,0.00003805406,0.00084205304,0.0001280325,0.0002846947,0.00019520104],"domain_scores_gemma":[0.99898416,0.00016625466,0.00040397368,0.00011351131,0.00024889578,0.00008321363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007130013,0.00020403683,0.0005468827,0.00025110279,0.00016118337,0.000101048536,0.00013551963,0.00017217408,6.663975e-7],"category_scores_gemma":[0.00014396974,0.0001956728,0.000079577716,0.00020454157,0.000056472374,0.0001830687,0.000084911866,0.00035681823,6.810927e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005854942,0.0009670611,0.0027790794,0.013109093,0.0019155224,0.000022704342,0.006098224,0.539246,0.17154178,0.25652477,0.00046767681,0.0067425948],"study_design_scores_gemma":[0.0020793006,0.00021176711,0.00008495346,0.0008363656,0.0002382554,0.000038972845,0.00012686744,0.88898337,0.0045196502,0.102657184,0.00006876743,0.00015456858],"about_ca_topic_score_codex":0.000008499174,"about_ca_topic_score_gemma":3.568025e-7,"teacher_disagreement_score":0.34973735,"about_ca_system_score_codex":0.0000462424,"about_ca_system_score_gemma":0.000058116828,"threshold_uncertainty_score":0.7979305},"labels":[],"label_agreement":null},{"id":"W4409603230","doi":"10.61091/jcmcc127b-080","title":"Study on the Intelligent Promotion Path of Green Port under the Carbon Peak and Carbon Neutral Strategy Based on Multi-Objective Genetic Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Carbon fibers; Promotion (chess); Genetic algorithm; Port (circuit theory); Algorithm; Computer science; Mathematical optimization; Mathematics; Engineering; Electronic engineering; Political science; Computer network","score_opus":0.021405839923596615,"score_gpt":0.25279111647589414,"score_spread":0.23138527655229751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98862773,0.00013349879,0.004701885,0.000098752236,0.004676475,0.00068913907,0.0000024390617,0.000025455,0.0010446407],"genre_scores_gemma":[0.99931425,0.000015785077,0.00029142541,0.000014031798,0.0003286081,0.000004622593,5.039488e-7,0.000025576273,0.0000052254327],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998237,0.00015952907,0.0008179681,0.00016093666,0.00040763145,0.0002169202],"domain_scores_gemma":[0.9983373,0.00068485306,0.00039948928,0.00025221292,0.00025665833,0.00006944966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011700747,0.0002716115,0.0005052557,0.00014003403,0.00014967623,0.00009918135,0.00024385501,0.00010611375,0.0000012747513],"category_scores_gemma":[0.00009744726,0.000172042,0.0000902954,0.00021829642,0.00009302403,0.000023311608,0.00007997214,0.00056080736,6.893637e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004615845,0.011587347,0.0047325823,0.001519621,0.0020690158,0.00025473244,0.01162105,0.110369086,0.000505379,0.8259381,0.00012047034,0.030820997],"study_design_scores_gemma":[0.0037387216,0.0035798904,0.011344411,0.0006230085,0.0003720706,0.000024852621,0.0038580925,0.83710897,0.0008142681,0.13818021,0.000013153407,0.00034235057],"about_ca_topic_score_codex":0.00008692112,"about_ca_topic_score_gemma":0.000002757479,"teacher_disagreement_score":0.7267399,"about_ca_system_score_codex":0.00007725257,"about_ca_system_score_gemma":0.000090410394,"threshold_uncertainty_score":0.7015669},"labels":[],"label_agreement":null},{"id":"W4409603233","doi":"10.61091/jcmcc127b-137","title":"Design of Computational Identification Model and Optimization Strategy for Consumer Demand Based on Multimodal Data Fusion","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Computer science; Fusion; Machine learning; Artificial intelligence","score_opus":0.04192391684792528,"score_gpt":0.2897941010721923,"score_spread":0.247870184224267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603233","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08792619,0.000055166158,0.90940315,0.0004662294,0.0015556824,0.00044423566,0.0000070173273,0.000025639667,0.000116701965],"genre_scores_gemma":[0.9551449,0.0000076145197,0.04450416,0.00008941349,0.00020192462,0.0000032590435,0.00003169478,0.000014996391,0.0000020823722],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849284,0.000021935146,0.0008851119,0.00019617079,0.0002674219,0.00013651283],"domain_scores_gemma":[0.9970759,0.0006646899,0.0010856494,0.00023487673,0.00092528627,0.000013554215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014920537,0.00016534896,0.0003911329,0.00045973086,0.00028031445,0.00018688908,0.00032490699,0.00013959699,0.0000018440985],"category_scores_gemma":[0.00057086785,0.00015647142,0.000042466134,0.00036289037,0.00011648143,0.0004084726,0.00017600869,0.0001860375,2.7100674e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013066718,0.00035888486,0.0001424945,0.00028034672,0.000051499566,5.4074917e-7,0.000022859253,0.4552894,0.00019974813,0.5420548,0.00038727385,0.0010815406],"study_design_scores_gemma":[0.0025238434,0.00006311314,0.000059501337,0.00018115672,0.000110982866,0.0000011228504,0.00006393085,0.681061,0.00004890143,0.31577575,0.000023518716,0.00008717478],"about_ca_topic_score_codex":0.0000069117905,"about_ca_topic_score_gemma":2.4872762e-7,"teacher_disagreement_score":0.8672187,"about_ca_system_score_codex":0.000021212136,"about_ca_system_score_gemma":0.00011033281,"threshold_uncertainty_score":0.63807195},"labels":[],"label_agreement":null},{"id":"W4409603235","doi":"10.61091/jcmcc127b-135","title":"DBSCAN Density Clustering Algorithm Constructed by Marketing Professional Course Cluster – A Study on the Promoting Role of Artificial Intelligence Educational Technology on Teaching Method Reform of Teachers of Higher Vocational Marketing Professionals","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"DBSCAN; Course (navigation); Vocational education; Cluster analysis; Business intelligence; Computer science; Medical education; Mathematics education; Engineering management; Marketing; Knowledge management; Engineering; Psychology; Business; Artificial intelligence; Pedagogy; Medicine; Fuzzy clustering","score_opus":0.012366095578273098,"score_gpt":0.30672915752957475,"score_spread":0.29436306195130163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98770744,0.000049032285,0.002477461,0.0042127254,0.0034394572,0.00069366215,0.000003533938,0.00002732279,0.0013893613],"genre_scores_gemma":[0.9918863,8.6709485e-7,0.0075450274,0.000077642515,0.00044117708,0.000011320099,0.0000037587597,0.000022480537,0.0000113986525],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966615,0.00028734986,0.0018405813,0.00025476865,0.0006971487,0.00025866108],"domain_scores_gemma":[0.9929742,0.0026343404,0.0030644147,0.0002804924,0.0010275964,0.000018920588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077979392,0.0002755969,0.00072198734,0.0006533509,0.0004976663,0.000064670065,0.0005747943,0.00022677,0.000015401087],"category_scores_gemma":[0.0022161475,0.00020989048,0.000121968325,0.0008841483,0.00026759203,0.00019985861,0.0004884616,0.001026656,5.3361316e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029313038,0.0034850927,0.0042526918,0.00032707312,0.0003221533,0.0000010743503,0.0006808203,0.000013671822,0.0033386864,0.95742947,0.00024103919,0.029615102],"study_design_scores_gemma":[0.002514524,0.00049383414,0.007925366,0.006121628,0.00041587008,0.000018147764,0.04636068,0.028646631,0.005462463,0.9014504,0.000104920466,0.00048551045],"about_ca_topic_score_codex":0.000028457436,"about_ca_topic_score_gemma":0.0000010008413,"teacher_disagreement_score":0.05597904,"about_ca_system_score_codex":0.00009596731,"about_ca_system_score_gemma":0.00021851646,"threshold_uncertainty_score":0.8559086},"labels":[],"label_agreement":null},{"id":"W4409603236","doi":"10.61091/jcmcc127b-115","title":"Building a Co-construction and Sharing Model of Digital Ideological and Political Resources for Embedded Courses Based on Artificial Intelligence Algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Shaanxi Province","keywords":"Ideology; Computer science; Politics; Artificial intelligence; Algorithm; Political science","score_opus":0.04074451687637308,"score_gpt":0.35415878961132785,"score_spread":0.31341427273495476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8911527,0.00005137858,0.103358455,0.0016015783,0.0020832517,0.0002643024,0.000006198858,0.000019406902,0.0014627621],"genre_scores_gemma":[0.98207164,0.0000067225187,0.017411767,0.00006172192,0.0004346744,0.0000021729575,5.066023e-7,0.000006550825,0.000004243704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984183,0.00007163192,0.0007000055,0.00018587334,0.00032855742,0.00029567973],"domain_scores_gemma":[0.9966685,0.002362879,0.0003608057,0.00007548433,0.0003520545,0.00018026141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014834759,0.00014758403,0.0004568076,0.00016142204,0.00035966135,0.0002588137,0.00016354026,0.00016895538,0.0000016888023],"category_scores_gemma":[0.002554063,0.00012435162,0.000085838205,0.00014644016,0.0005702518,0.00014554286,0.000079185476,0.0002514318,7.238736e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012076296,0.00024143272,0.00033529068,0.00009843146,0.000019094838,6.897939e-7,0.0009202463,0.00010113097,0.00006693707,0.9939674,0.0000052250084,0.0041233217],"study_design_scores_gemma":[0.0004931241,0.0004048538,0.00004810659,0.0002306574,0.000050692943,0.000003835576,0.0018444253,0.08360946,0.0003642167,0.9127923,0.000049026024,0.00010927308],"about_ca_topic_score_codex":0.000019348307,"about_ca_topic_score_gemma":4.7785574e-7,"teacher_disagreement_score":0.09091897,"about_ca_system_score_codex":0.000055057713,"about_ca_system_score_gemma":0.00016764758,"threshold_uncertainty_score":0.50709116},"labels":[],"label_agreement":null},{"id":"W4409603237","doi":"10.61091/jcmcc127b-092","title":"Constructing a Corporate Demand Model for Brand Design of Financial Central Enterprises Based on the Grounded Theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grounded theory; Business; Finance; Marketing; Industrial organization; Qualitative research; Sociology","score_opus":0.06628773651277425,"score_gpt":0.31349867139480597,"score_spread":0.24721093488203172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603237","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20704727,0.00015140111,0.7685142,0.0009452955,0.01255324,0.0015840301,0.000012494804,0.000030330893,0.0091617],"genre_scores_gemma":[0.9939766,0.000014261247,0.0054256874,0.000060741197,0.00046155436,0.0000044912495,4.7786943e-7,0.0000125245515,0.00004363987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973758,0.00059106876,0.0008252982,0.00016486202,0.00068893307,0.0003540789],"domain_scores_gemma":[0.9909446,0.0068519954,0.0011600801,0.00017872812,0.00075596536,0.00010860173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007117351,0.00018201258,0.00055775105,0.00018589357,0.000689843,0.00023395229,0.0005740206,0.00014817245,0.000006278542],"category_scores_gemma":[0.0048526,0.00014169022,0.00018598189,0.00030215367,0.0004553776,0.00014262457,0.00011151622,0.00036832708,1.6564051e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006690513,0.00026060952,0.0002996252,0.00012171327,0.000062531755,0.0000035717928,0.0023263374,0.0007629337,0.000032584823,0.9941703,0.00029641576,0.000994339],"study_design_scores_gemma":[0.0030734392,0.00030390357,0.000015156798,0.00046175419,0.00006635653,0.0000011409746,0.0013764251,0.15500161,0.00026376176,0.8392382,0.00008594722,0.00011226523],"about_ca_topic_score_codex":0.000011689484,"about_ca_topic_score_gemma":0.000001550331,"teacher_disagreement_score":0.78692937,"about_ca_system_score_codex":0.0001369971,"about_ca_system_score_gemma":0.0013527155,"threshold_uncertainty_score":0.5809366},"labels":[],"label_agreement":null},{"id":"W4409603238","doi":"10.61091/jcmcc127b-084","title":"Research on Intelligent Development Path of Countryside under New Infrastructure Construction Based on Multi-Objective Optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Computer science; Rural area; Computer network; Political science","score_opus":0.030589554206190892,"score_gpt":0.3175486012723415,"score_spread":0.2869590470661506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58961004,0.00019510825,0.36888778,0.001513118,0.026279997,0.001326455,0.0000021106227,0.000050609102,0.012134774],"genre_scores_gemma":[0.96236277,0.0000728308,0.03706033,0.000046783316,0.00040218496,0.000001704973,0.0000016465775,0.000013240758,0.000038503385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997237,0.00026630532,0.00079578743,0.00018802051,0.0012442692,0.00026860632],"domain_scores_gemma":[0.9975925,0.0009936908,0.000606633,0.00012770087,0.0005361108,0.00014335723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002446362,0.00018187992,0.00042006464,0.000423881,0.00055141194,0.00011485911,0.0002714876,0.00018482117,0.000017220555],"category_scores_gemma":[0.00045280132,0.00016163298,0.00008270061,0.0005151842,0.00023475033,0.00009335016,0.00008595283,0.0004684113,0.000001287626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002745594,0.0005741626,0.0005603575,0.0000711017,0.00010751291,0.000003578023,0.0042041717,0.07468698,0.000031933116,0.9147067,0.00052496063,0.004253948],"study_design_scores_gemma":[0.012475534,0.001780115,0.005769434,0.004358047,0.00014185352,0.0000075310045,0.022071386,0.058345485,0.0036628814,0.8802163,0.01035295,0.00081849843],"about_ca_topic_score_codex":0.000029933248,"about_ca_topic_score_gemma":0.0000016495071,"teacher_disagreement_score":0.37275273,"about_ca_system_score_codex":0.0005845753,"about_ca_system_score_gemma":0.0012449687,"threshold_uncertainty_score":0.6591202},"labels":[],"label_agreement":null},{"id":"W4409603239","doi":"10.61091/jcmcc127b-079","title":"A Modeling Study of Non-Heritage Cultural Communication Behavior under the Framework of Situational Cognition Based on Time Series Data Mining","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Situational ethics; Series (stratigraphy); Cognition; Cultural heritage; Situation awareness; Time series; Data science; Psychology; Computer science; Social psychology; Geography; Engineering; Archaeology; Machine learning; Geology","score_opus":0.04147044364805681,"score_gpt":0.35089383564075244,"score_spread":0.30942339199269564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863612,0.00010949815,0.009479521,0.00064518565,0.001249791,0.0004788473,0.000004488079,0.000011797761,0.0016596732],"genre_scores_gemma":[0.99403656,0.00003377073,0.0057412786,0.000015613257,0.00014292811,0.0000050177387,0.000010680409,0.000008702188,0.000005439783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99758345,0.00047616838,0.000980427,0.00012429863,0.0007042755,0.00013136062],"domain_scores_gemma":[0.99571234,0.0016170862,0.00097268994,0.0005878136,0.0010655881,0.000044463275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003344252,0.00012962404,0.0003988881,0.00015884131,0.0007444544,0.00016511678,0.00097552757,0.0001294012,0.0000068851623],"category_scores_gemma":[0.00094720954,0.000103861305,0.00007409464,0.00048729082,0.00018262361,0.0003903124,0.00028818773,0.00036335803,2.6921978e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018368114,0.003521791,0.000605305,0.000076122284,0.00021268238,7.461251e-7,0.021628112,0.004713451,0.00021563034,0.96705437,0.00014840337,0.001639726],"study_design_scores_gemma":[0.004780211,0.0009909325,0.0012416944,0.0016161965,0.0007075199,0.0000027978715,0.10480738,0.49523097,0.00006664986,0.39017212,0.00009412653,0.0002893933],"about_ca_topic_score_codex":0.00007492667,"about_ca_topic_score_gemma":0.000008557852,"teacher_disagreement_score":0.57688224,"about_ca_system_score_codex":0.00005902609,"about_ca_system_score_gemma":0.00027865887,"threshold_uncertainty_score":0.57258165},"labels":[],"label_agreement":null},{"id":"W4409603244","doi":"10.61091/jcmcc127b-130","title":"An Empirical Study on Learning Path Optimization by Data Collection and Computational Analysis of English Learners’ Behavior in the Era of Big Data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Big data; Path (computing); Mathematics education; Path analysis (statistics); Data collection; Data science; Artificial intelligence; Psychology; Machine learning; Data mining; Mathematics; Statistics; Programming language","score_opus":0.04373614604368107,"score_gpt":0.340950347501757,"score_spread":0.2972142014580759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9471596,0.00012003354,0.04878344,0.00012884154,0.0034249022,0.0002919107,0.000010104973,0.000009267607,0.00007192288],"genre_scores_gemma":[0.99640286,0.000014469177,0.003286621,0.000016947697,0.0002403754,0.0000017416286,0.000029722392,0.0000061181595,0.0000011525204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99744445,0.0005030954,0.0010137613,0.0002720582,0.00063761254,0.00012901373],"domain_scores_gemma":[0.996319,0.001486585,0.0009507075,0.0005859387,0.0006061699,0.000051618073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033129137,0.00014867578,0.0005838266,0.0003998246,0.00019288812,0.0002126622,0.0012437875,0.000076831646,5.3907473e-7],"category_scores_gemma":[0.0008366355,0.00011788753,0.00004823403,0.0014505335,0.000060884977,0.00033638594,0.00041212756,0.00039802887,2.6215357e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029471054,0.01909045,0.3131505,0.0003386503,0.0019754649,0.000012723282,0.13753934,0.10137803,0.000111305395,0.4176331,0.0021623569,0.00631341],"study_design_scores_gemma":[0.0035792242,0.0026049344,0.04465651,0.00026776528,0.0007781981,0.0000073405618,0.009991233,0.92349106,0.000016124006,0.014200102,0.00015372342,0.00025380275],"about_ca_topic_score_codex":0.00010106376,"about_ca_topic_score_gemma":0.0000031884288,"teacher_disagreement_score":0.822113,"about_ca_system_score_codex":0.000034911496,"about_ca_system_score_gemma":0.00021210525,"threshold_uncertainty_score":0.4807314},"labels":[],"label_agreement":null},{"id":"W4409603245","doi":"10.61091/jcmcc127b-144","title":"Research on multi-objective optimization strategy and algorithm improvement based on genetic algorithm in large-scale computing environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Wireless Sensor Networks and IoT","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Scale (ratio); Genetic algorithm; Optimization algorithm; Mathematical optimization; Machine learning; Mathematics","score_opus":0.01232949993685688,"score_gpt":0.2607409782868883,"score_spread":0.2484114783500314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603245","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33144262,0.00046835194,0.65977556,0.00005228256,0.006643013,0.0007381805,0.0000069223006,0.000055754947,0.00081735017],"genre_scores_gemma":[0.9463398,0.00013431643,0.052889843,0.000020206684,0.0005606913,0.0000035825408,0.0000019761303,0.000044616267,0.0000049572686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99754477,0.00015970781,0.0009224629,0.0002825872,0.0006063303,0.00048414795],"domain_scores_gemma":[0.99850553,0.00071490865,0.0002497729,0.00020258043,0.00018906733,0.0001381516],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016146456,0.00031555214,0.0006263534,0.00050659414,0.00026133997,0.00019693047,0.00020659255,0.00020331853,0.000003860446],"category_scores_gemma":[0.000049992697,0.0002969635,0.00008329745,0.0003863019,0.00006784214,0.000074610354,0.00012664478,0.0009208355,8.3422304e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004929938,0.00092632655,0.000066186134,0.000171486,0.00006988571,0.000028632156,0.00041780906,0.9465122,0.00007415472,0.00960072,0.00004982437,0.042033464],"study_design_scores_gemma":[0.0056111314,0.0010643626,0.000495398,0.0007383962,0.000027369866,0.0000050293993,0.0006906827,0.98249763,0.0003272656,0.008248814,0.000056051693,0.00023787624],"about_ca_topic_score_codex":0.000008250395,"about_ca_topic_score_gemma":4.3197298e-7,"teacher_disagreement_score":0.6148972,"about_ca_system_score_codex":0.00030242416,"about_ca_system_score_gemma":0.000063464075,"threshold_uncertainty_score":0.99994826},"labels":[],"label_agreement":null},{"id":"W4409603252","doi":"10.61091/jcmcc127b-139","title":"Cultural Inheritance and Innovation Path of Digital Art: Integration and Development of Computer-Assisted Art Creation and Digital Media Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inheritance (genetic algorithm); Path (computing); Digital media; Digital art; Cultural inheritance; Development (topology); Computer science; Multimedia; Art; World Wide Web; Digital library; Art history; Mathematics; Literature; Computer network; Performance art","score_opus":0.01739183186553979,"score_gpt":0.2703317045738075,"score_spread":0.25293987270826773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9050076,0.00017496194,0.09224555,0.00012450114,0.0019208312,0.00014870001,0.0000024019353,0.000022359378,0.00035306788],"genre_scores_gemma":[0.97886163,0.00002331583,0.021011256,0.0000053068393,0.00008077746,0.0000010989025,0.000004734042,0.0000066692805,0.0000052013343],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982118,0.000020520098,0.0010940712,0.00019575874,0.00032999524,0.00014787927],"domain_scores_gemma":[0.9978659,0.0003541599,0.0008775258,0.0001193446,0.0007161748,0.000066884226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043058384,0.00019323203,0.0005447942,0.0003911673,0.000105396284,0.00039677165,0.00020757287,0.000120377765,1.9018466e-7],"category_scores_gemma":[0.00034207298,0.00016316063,0.000030098385,0.0007130978,0.00018802701,0.0008863417,0.00035055706,0.000185128,2.4166948e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041297844,0.00035197783,0.0013671046,0.0002606505,0.00007702952,0.0000037818863,0.0022216165,8.795047e-7,0.0010372745,0.8475104,0.00005046242,0.14707752],"study_design_scores_gemma":[0.008210003,0.0022584004,0.0063937358,0.0042858813,0.00008776738,0.0002311529,0.0020293277,0.021479193,0.009094946,0.9441496,0.0011112473,0.000668714],"about_ca_topic_score_codex":2.4877227e-7,"about_ca_topic_score_gemma":1.2238348e-7,"teacher_disagreement_score":0.1464088,"about_ca_system_score_codex":0.000031567688,"about_ca_system_score_gemma":0.000115098424,"threshold_uncertainty_score":0.6653497},"labels":[],"label_agreement":null},{"id":"W4409603258","doi":"10.61091/jcmcc127b-120","title":"Safety Detection and Risk Early Warning Model for Bridge Health Monitoring Based on Neural Network Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Guangxi Key Research and Development Program","keywords":"Warning system; Bridge (graph theory); Artificial neural network; Computer science; Algorithm; Data mining; Artificial intelligence; Machine learning; Medicine; Telecommunications; Internal medicine","score_opus":0.03707960190547422,"score_gpt":0.3342530689667744,"score_spread":0.2971734670613002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603258","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32473522,0.0003467498,0.66406506,0.00037238575,0.0100683,0.00030808416,0.000006262655,0.00002517884,0.00007275784],"genre_scores_gemma":[0.97602075,0.00017690996,0.022345368,0.00003722722,0.0013805159,0.0000026376476,5.687389e-7,0.00002241566,0.000013616835],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956301,0.0004040294,0.0019799361,0.00039757846,0.0011425307,0.00044586608],"domain_scores_gemma":[0.9916833,0.004767726,0.002138592,0.0003281954,0.000843498,0.00023867826],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009513745,0.00030611706,0.0011297055,0.00044980703,0.001284097,0.0005625106,0.0004609735,0.00016615774,8.661574e-7],"category_scores_gemma":[0.0024543537,0.00025098966,0.0003463078,0.00080049597,0.00007490392,0.00024541077,0.00016376628,0.0006631295,5.1276504e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011404011,0.00053288584,0.007731113,0.00014530226,0.00035997527,0.000007780036,0.0022736937,0.23704824,0.00002847975,0.08391836,0.0003132239,0.66650057],"study_design_scores_gemma":[0.0025010686,0.0005395512,0.002176448,0.00020237702,0.0000920978,0.000003961249,0.00010733036,0.6372542,0.00002491657,0.3568506,0.0001134227,0.00013403305],"about_ca_topic_score_codex":0.000039242055,"about_ca_topic_score_gemma":0.0000018687333,"teacher_disagreement_score":0.6663665,"about_ca_system_score_codex":0.00014037559,"about_ca_system_score_gemma":0.00021569987,"threshold_uncertainty_score":0.9999942},"labels":[],"label_agreement":null},{"id":"W4409603259","doi":"10.61091/jcmcc127b-098","title":"Principal component analysis and multi-dimensional quantitative research on sustainable employability of Chinese liberal arts college students","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Employability; Liberal arts education; Principal component analysis; Component (thermodynamics); Mathematics education; Political science; Sociology; Psychology; Higher education; Pedagogy; Computer science; Artificial intelligence; Physics; Law","score_opus":0.022051001685029523,"score_gpt":0.3441079521294881,"score_spread":0.32205695044445853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938341,0.00021946355,0.0020696663,0.00004531108,0.0032952793,0.00028092274,0.0000028844054,0.00002763535,0.00022476571],"genre_scores_gemma":[0.99303454,0.000017669458,0.0068006795,0.0000052473792,0.00008672582,0.0000043067666,0.000001620019,0.000016645428,0.000032589232],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977631,0.000111229216,0.00091007666,0.00017651675,0.00074354274,0.00029554206],"domain_scores_gemma":[0.9976586,0.0009430241,0.00023266605,0.00017939718,0.00084170507,0.00014460918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023201706,0.00022349985,0.00072194106,0.0007355318,0.00019213773,0.00009050492,0.00025579467,0.00010437227,0.0000044486196],"category_scores_gemma":[0.00043071675,0.00019378198,0.00012212801,0.0011518296,0.000090093294,0.000090795336,0.00021155772,0.0004758376,4.676173e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018873342,0.0028488482,0.0304924,0.0014524263,0.0019245434,0.000030099667,0.0039080326,0.015369455,0.0005498344,0.9426269,0.0004502461,0.0001584592],"study_design_scores_gemma":[0.018064344,0.0023011137,0.3172135,0.0019259754,0.0008442644,0.00003944321,0.005043538,0.2636695,0.0021475123,0.38689625,0.0005428976,0.0013116747],"about_ca_topic_score_codex":0.000009283353,"about_ca_topic_score_gemma":9.630518e-7,"teacher_disagreement_score":0.5557307,"about_ca_system_score_codex":0.00019321612,"about_ca_system_score_gemma":0.00011882133,"threshold_uncertainty_score":0.79021996},"labels":[],"label_agreement":null},{"id":"W4409603261","doi":"10.61091/jcmcc127b-119","title":"Research on Performance Evaluation and Appraisal Methods of Asset Management in Public Universities Introducing Super-Efficient DEA Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Performance appraisal; Asset management; Business; Asset (computer security); Engineering management; Computer science; Management science; Process management; Risk analysis (engineering); Engineering; Economics; Management; Finance; Computer security","score_opus":0.0638311171784953,"score_gpt":0.38867440802771064,"score_spread":0.32484329084921537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8974914,0.00022042557,0.095817246,0.00006497226,0.003340988,0.00024700328,4.0552035e-7,0.000015847194,0.0028016982],"genre_scores_gemma":[0.9810696,0.00009982529,0.018698739,0.000003341764,0.00010988791,0.00000219791,0.0000010607912,0.0000129997825,0.0000023196872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99788076,0.0003178316,0.0007450639,0.00014315137,0.0007056766,0.00020751376],"domain_scores_gemma":[0.99809307,0.0007423258,0.00016158483,0.00014554248,0.0007990131,0.0000584617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008138284,0.00013856361,0.00037219396,0.0008963552,0.00014556102,0.00010504674,0.00017607945,0.00009072711,0.0000034234292],"category_scores_gemma":[0.00024671017,0.00013798435,0.000041684492,0.0006159144,0.000048593818,0.00014795977,0.00012743636,0.00038971787,1.9467937e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002589382,0.000107016844,0.000030181907,0.00022442688,0.000050524708,6.6852823e-7,0.00072888396,0.57771736,0.00007271541,0.41635522,0.000014419342,0.004672662],"study_design_scores_gemma":[0.0023440095,0.00012451688,0.00008286611,0.00043852077,0.000044264467,0.000002608762,0.0024965832,0.9597588,0.0002172984,0.034366243,0.000024749852,0.0000995405],"about_ca_topic_score_codex":0.0000022784927,"about_ca_topic_score_gemma":1.7452973e-7,"teacher_disagreement_score":0.38204142,"about_ca_system_score_codex":0.00023111867,"about_ca_system_score_gemma":0.0001296592,"threshold_uncertainty_score":0.5626838},"labels":[],"label_agreement":null},{"id":"W4409603263","doi":"10.61091/jcmcc127b-100","title":"Construction and Application of Machine Learning Prediction Models for Library Space Utilization Efficiency","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Space (punctuation); Computer science; Machine learning; Artificial intelligence; Operating system","score_opus":0.034414879535678865,"score_gpt":0.30290553321947566,"score_spread":0.2684906536837968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62673324,0.0021635327,0.36122113,0.0006883859,0.006624948,0.0009504623,0.0000063511106,0.000050458973,0.001561502],"genre_scores_gemma":[0.9833196,0.00030792155,0.016019657,0.0000131929155,0.00030693866,0.0000042569873,0.000006304685,0.0000108623435,0.0000112802645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988675,0.000038550428,0.0006500911,0.00012725015,0.00020742863,0.00010918475],"domain_scores_gemma":[0.99835616,0.00039302107,0.00061401166,0.00008584845,0.0004874905,0.0000634657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059134304,0.000113339236,0.00042593267,0.00020421109,0.00019581402,0.000037947757,0.00005621632,0.000097444914,8.272834e-7],"category_scores_gemma":[0.00031466415,0.000102633174,0.000066388886,0.00025452118,0.00009188053,0.00017636396,0.000067414374,0.00018700615,5.0527007e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022174744,0.0003464262,0.009948062,0.0012912784,0.00011140133,3.5154716e-7,0.0012756006,0.00017905975,0.00017582822,0.9750413,0.00009539703,0.011313577],"study_design_scores_gemma":[0.0054510096,0.001235706,0.0008750752,0.0008407059,0.0004269423,0.000057144654,0.0029404082,0.27976942,0.0016566067,0.7055227,0.00108666,0.00013757302],"about_ca_topic_score_codex":0.000005901583,"about_ca_topic_score_gemma":3.7796582e-8,"teacher_disagreement_score":0.35658637,"about_ca_system_score_codex":0.000033399516,"about_ca_system_score_gemma":0.00015543675,"threshold_uncertainty_score":0.41852593},"labels":[],"label_agreement":null},{"id":"W4409603265","doi":"10.61091/jcmcc127b-122","title":"A Multi-Level Accompaniment Effect Generation Mechanism Incorporating AI Computing in Piano Art Instruction","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technology in Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Piano; Mechanism (biology); Computer science; Computer architecture; Multimedia; Human–computer interaction; Art; Physics; Art history","score_opus":0.01809789887973678,"score_gpt":0.28623437117054257,"score_spread":0.2681364722908058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603265","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34196073,0.00006199755,0.65024006,0.0003300442,0.0068150503,0.0003981959,5.3925834e-7,0.00008434646,0.00010904585],"genre_scores_gemma":[0.7941994,0.0000064032874,0.20540659,0.000056459718,0.0003027636,0.0000066301145,0.0000014062815,0.00001603249,0.000004319265],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970748,0.00018672092,0.0015028667,0.0004034168,0.0004745763,0.00035765767],"domain_scores_gemma":[0.99717057,0.000534837,0.0013015437,0.00044601073,0.00044761627,0.00009941528],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020159907,0.00034039796,0.00078124076,0.0006598693,0.00040704227,0.0003173002,0.000903037,0.0002599108,6.9128396e-7],"category_scores_gemma":[0.00045259827,0.0003359033,0.00012468139,0.00108557,0.00008273694,0.0005218066,0.0006738196,0.0008614097,0.0000029005503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015642156,0.00036097318,0.0003398911,0.000083059196,0.000053792806,0.000012424575,0.00030579037,0.0003869652,0.00871971,0.98019296,0.00005641867,0.009472353],"study_design_scores_gemma":[0.0061200513,0.00040613432,0.00042023716,0.00045386064,0.000040931813,0.00009579712,0.000073171934,0.4047779,0.010801906,0.5764338,0.000075602,0.00030061658],"about_ca_topic_score_codex":0.00000480083,"about_ca_topic_score_gemma":0.0000016397518,"teacher_disagreement_score":0.45223868,"about_ca_system_score_codex":0.00032432668,"about_ca_system_score_gemma":0.0002051722,"threshold_uncertainty_score":0.9999093},"labels":[],"label_agreement":null},{"id":"W4409603266","doi":"10.61091/jcmcc127b-132","title":"Research on the innovation of ideological and Political Education Mode and the Integration of Intelligent Teaching Systems in the DigitalEra","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ideology; Politics; Mode (computer interface); Sociology; Political science; Mathematics education; Engineering management; Knowledge management; Engineering ethics; Computer science; Engineering; Psychology; Human–computer interaction","score_opus":0.07158757320734119,"score_gpt":0.41614140484794965,"score_spread":0.3445538316406085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813798,0.00021035249,0.0005430427,0.008023966,0.0020737443,0.00040819662,5.1738886e-7,0.0000028359982,0.0073575503],"genre_scores_gemma":[0.9993879,0.000028904742,0.00007894223,0.000095851545,0.0003899165,0.000005353083,4.2077792e-7,0.000002655477,0.000010017849],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99710804,0.0013008581,0.0007904643,0.00009170081,0.00051984837,0.0001891148],"domain_scores_gemma":[0.990419,0.0084188,0.00036928014,0.000108982495,0.000645895,0.00003805237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0102658905,0.00008668791,0.0003061517,0.00018663603,0.00039931937,0.00017097767,0.00026468103,0.00010707397,9.618927e-7],"category_scores_gemma":[0.007120719,0.000041347826,0.000039193776,0.00047418932,0.0008424442,0.00008527128,0.0000858263,0.0006265881,9.3591e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006649111,0.00029971392,0.00021040866,0.00005809134,0.00001134095,1.6942744e-7,0.0067188,0.0000046357477,0.000025610165,0.9908058,0.00007092188,0.0017280319],"study_design_scores_gemma":[0.00051163463,0.00021342031,0.00074347504,0.0003968326,0.00001837729,0.0000034023296,0.02973772,0.0011717894,0.00006502,0.9668647,0.00023336716,0.000040247403],"about_ca_topic_score_codex":0.0006496339,"about_ca_topic_score_gemma":0.000003843229,"teacher_disagreement_score":0.02394107,"about_ca_system_score_codex":0.00006536263,"about_ca_system_score_gemma":0.00025929353,"threshold_uncertainty_score":0.852468},"labels":[],"label_agreement":null},{"id":"W4409603267","doi":"10.61091/jcmcc127b-111","title":"Human Motion Morphology Capture Based on Computer Vision and Image Segmentation Algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer vision; Artificial intelligence; Segmentation; Computer science; Motion capture; Morphology (biology); Motion (physics); Image (mathematics); Mathematical morphology; Image segmentation; Human motion; Computer graphics (images); Image processing; Geology","score_opus":0.012655287232040244,"score_gpt":0.30417075263600823,"score_spread":0.291515465403968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603267","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18695182,0.00009245062,0.80164504,0.0006151477,0.010039315,0.00021763772,8.781761e-7,0.00005452679,0.00038318682],"genre_scores_gemma":[0.8457336,0.0000072146963,0.15362571,0.00015385014,0.0004589796,0.000001309424,0.0000013324379,0.000013582549,0.000004458191],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99780786,0.00030990856,0.0008234179,0.0003243846,0.00047226896,0.00026216658],"domain_scores_gemma":[0.9977484,0.0006976237,0.00070793356,0.00030457755,0.00042664798,0.000114856295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022768537,0.0002743028,0.00061812956,0.00037285357,0.0003662058,0.00045592766,0.00044113342,0.00017486191,0.0000016176409],"category_scores_gemma":[0.00015326614,0.0002350252,0.00012068936,0.00038025583,0.00008896729,0.00033817888,0.00024168415,0.0004630984,8.515925e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007329659,0.00095561804,0.00045268712,0.0003266289,0.00010917888,0.00009787974,0.00081709446,0.0005260444,0.0052741617,0.94118744,0.00068353163,0.049496423],"study_design_scores_gemma":[0.008621313,0.0021425,0.0031769418,0.0007729626,0.000081146216,0.00012405809,0.0000937046,0.359166,0.002836154,0.622334,0.00018929219,0.00046195163],"about_ca_topic_score_codex":0.000006759603,"about_ca_topic_score_gemma":1.8743661e-7,"teacher_disagreement_score":0.65878177,"about_ca_system_score_codex":0.000075318974,"about_ca_system_score_gemma":0.00007621717,"threshold_uncertainty_score":0.95840496},"labels":[],"label_agreement":null},{"id":"W4409603269","doi":"10.61091/jcmcc127b-123","title":"Simulation and optimization of residents’ consumption behavior change and consumption upgrading path under multi-factor conditions","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Path (computing); Factor (programming language); Computer science; Computer network; Sociology","score_opus":0.16469344118034956,"score_gpt":0.4008006674158749,"score_spread":0.23610722623552532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9317158,0.00044016543,0.06365861,0.00008625763,0.003713445,0.00034616113,0.000019596448,0.000011151796,0.000008829594],"genre_scores_gemma":[0.99555033,0.00023181278,0.003971897,0.00002797448,0.00019568554,0.0000027502579,0.00000495587,0.000009616246,0.0000049641762],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976932,0.00014053249,0.0011379571,0.00020656167,0.00065581116,0.0001659564],"domain_scores_gemma":[0.99590987,0.001754899,0.0012160742,0.00016351996,0.0008439639,0.00011168476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017124135,0.0001836129,0.0005763914,0.0003228221,0.000361109,0.00038109077,0.00017656239,0.00017251943,0.000013080536],"category_scores_gemma":[0.0011898432,0.00014969565,0.00008953886,0.00027954855,0.000171458,0.00060178206,0.00016408061,0.00020778565,4.3834834e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041290035,0.0025124636,0.21749154,0.0012492945,0.0003882705,0.000020125031,0.006698085,0.009065982,0.003020133,0.74368066,0.0002517649,0.015208813],"study_design_scores_gemma":[0.010823298,0.0005808595,0.37891537,0.0015017859,0.00043697772,0.0000452087,0.0015985983,0.42335933,0.0003060231,0.1818768,0.00006185243,0.00049390265],"about_ca_topic_score_codex":0.000017496774,"about_ca_topic_score_gemma":5.7237645e-7,"teacher_disagreement_score":0.5618038,"about_ca_system_score_codex":0.000044007335,"about_ca_system_score_gemma":0.00006161837,"threshold_uncertainty_score":0.61044115},"labels":[],"label_agreement":null},{"id":"W4409603271","doi":"10.61091/jcmcc127b-083","title":"Convolutional neural network-based feature extraction and quantification of daily sports data for smart wearable devices","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Wearable computer; Feature extraction; Wearable technology; Artificial intelligence; Feature (linguistics); Data extraction; Pattern recognition (psychology); Machine learning; MEDLINE; Embedded system","score_opus":0.026550133340743645,"score_gpt":0.27885107372181167,"score_spread":0.25230094038106804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94700336,0.0009570382,0.03229294,0.0041156732,0.014228703,0.00061278255,0.000008922223,0.00006611116,0.00071446697],"genre_scores_gemma":[0.99402183,0.000011585763,0.0047401586,0.00012988501,0.0010444568,0.0000024418466,0.000028058173,0.000013716078,0.0000078399935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985798,0.000014964203,0.0007493668,0.00019380126,0.00027362022,0.00018845218],"domain_scores_gemma":[0.9971386,0.0004570147,0.0013039962,0.00027752283,0.00080837903,0.0000144710175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015392773,0.00016569931,0.0004427418,0.00029365707,0.00034451403,0.0001840401,0.00034523572,0.00016751078,0.0000027424187],"category_scores_gemma":[0.00044615808,0.00015592256,0.00006346775,0.00050405075,0.00012144085,0.0005806477,0.00019477523,0.0002932083,2.4534148e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012615626,0.0002838905,0.011059078,0.0005833393,0.000080775164,0.0000017005693,0.000014128054,0.00015601971,0.00033631828,0.9816187,0.0037427258,0.0019971505],"study_design_scores_gemma":[0.005607909,0.00012888074,0.009692924,0.0011613473,0.00051991065,0.000017404835,0.00037989442,0.18984747,0.00020351792,0.77722985,0.014879136,0.00033176626],"about_ca_topic_score_codex":0.00002114073,"about_ca_topic_score_gemma":0.0000031941986,"teacher_disagreement_score":0.20438889,"about_ca_system_score_codex":0.000019567979,"about_ca_system_score_gemma":0.00008952652,"threshold_uncertainty_score":0.6358338},"labels":[],"label_agreement":null},{"id":"W4409603278","doi":"10.61091/jcmcc127b-118","title":"Exoration on the Method and System of Enhancing the Reliability of Quality Traceability in the Sports Industry Chain through Blockchain","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Traceability; Blockchain; Quality (philosophy); Reliability (semiconductor); Chain (unit); Business; Risk analysis (engineering); Computer science; Process management; Engineering management; Engineering; Computer security; Software engineering","score_opus":0.03151494806313875,"score_gpt":0.3616259009320253,"score_spread":0.33011095286888653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937434,0.00017464675,0.001553452,0.0020025533,0.0011726768,0.00073766115,0.0000016203027,0.000005929799,0.00060806074],"genre_scores_gemma":[0.9990251,0.000015492207,0.00070835487,0.000050243816,0.00018579059,0.0000048617167,3.488952e-7,0.000006595102,0.0000031979962],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99604243,0.0010565314,0.0014673107,0.00016515667,0.0010704095,0.00019813776],"domain_scores_gemma":[0.991124,0.007015868,0.00094994565,0.0003971041,0.00044073476,0.00007237546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016388021,0.0001664137,0.0007733885,0.000080198304,0.00017382216,0.000033497352,0.00024510795,0.00019412032,0.0000026339596],"category_scores_gemma":[0.0063286927,0.000077982986,0.00013250035,0.0004332402,0.00021938003,0.00003819995,0.000101093676,0.0010059214,5.5135533e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007403658,0.0017201733,0.005522698,0.0018501478,0.00014979116,0.000018727962,0.006243513,0.000032652573,0.00045658008,0.9816617,0.00005111343,0.0015525306],"study_design_scores_gemma":[0.009673463,0.0022060687,0.022732113,0.005065051,0.0003832716,0.00007855654,0.017516388,0.007547461,0.008094588,0.9264648,0.00005753181,0.00018073828],"about_ca_topic_score_codex":0.00006845262,"about_ca_topic_score_gemma":0.0000015173225,"teacher_disagreement_score":0.055196937,"about_ca_system_score_codex":0.000099549754,"about_ca_system_score_gemma":0.00028990983,"threshold_uncertainty_score":0.75764936},"labels":[],"label_agreement":null},{"id":"W4409603280","doi":"10.61091/jcmcc127b-147","title":"Research on the Optimization Model of Digital Resource Allocation in Cultural and Tourism Industry Based on Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tourism; Reinforcement learning; Resource (disambiguation); Reinforcement; Computer science; Resource allocation; Business; Knowledge management; Artificial intelligence; Geography; Psychology; Social psychology","score_opus":0.04244022453946415,"score_gpt":0.2973274320368678,"score_spread":0.2548872074974036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9763062,0.000020286483,0.006883099,0.004599164,0.0008428107,0.0003082986,2.8309603e-7,0.000022798717,0.011017033],"genre_scores_gemma":[0.9993132,0.0000042949155,0.00026329144,0.00013221819,0.00025432426,0.0000028259458,0.0000026667426,0.00001043757,0.000016767824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857044,0.000036301724,0.00065478194,0.00012500826,0.00043807612,0.00017536909],"domain_scores_gemma":[0.9980823,0.0006279513,0.0005627576,0.00014694186,0.00056868506,0.000011392398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019277969,0.00013452649,0.00027583036,0.00065739936,0.00031016217,0.00027025188,0.00024208406,0.00019891921,0.0000023436166],"category_scores_gemma":[0.0009960142,0.00010146173,0.000042667936,0.0008374206,0.00013825305,0.00027879732,0.00017905487,0.0010971436,4.5296733e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006605711,0.000186784,0.0005528603,0.00008039102,0.00001701479,0.0000012476692,0.00008491976,0.17589411,0.00003065837,0.82242066,0.0003493886,0.00031593285],"study_design_scores_gemma":[0.0017905795,0.0001595133,0.00006894605,0.0007102561,0.00002390369,8.2820407e-7,0.0017359288,0.8175478,0.000095416384,0.17757681,0.0001913794,0.00009862404],"about_ca_topic_score_codex":0.000011794195,"about_ca_topic_score_gemma":2.3804901e-7,"teacher_disagreement_score":0.6448438,"about_ca_system_score_codex":0.000055139542,"about_ca_system_score_gemma":0.000057011293,"threshold_uncertainty_score":0.4766604},"labels":[],"label_agreement":null},{"id":"W4409603281","doi":"10.61091/jcmcc127b-133","title":"Optimization and Evaluation of Curriculum Effect of Traditional Rule of Law Culture Integrated into Civics Virtual Reality Teaching in Colleges and Universities Based on Differential Evolutionary Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Artificial Intelligence Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Civics; Curriculum; Differential (mechanical device); Computer science; Mathematics education; Sociology; Algorithm; Law; Political science; Pedagogy; Psychology; Engineering","score_opus":0.014839270747777565,"score_gpt":0.28520565895507943,"score_spread":0.27036638820730186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7039096,0.00008609184,0.29424936,0.000066312816,0.0011410819,0.0002938194,0.000007885622,0.000008420587,0.00023748865],"genre_scores_gemma":[0.9847407,0.000009880965,0.015173713,0.0000035551916,0.00005958075,0.0000020087368,0.0000052687515,0.0000046539226,6.739812e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980058,0.00039664752,0.000765357,0.000160496,0.0005728072,0.00009887455],"domain_scores_gemma":[0.99752635,0.0009382165,0.0007440231,0.00013863192,0.0006060347,0.0000467726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018407445,0.00014876289,0.00048625204,0.00027252722,0.00016366215,0.00004294381,0.00023782247,0.00011409284,0.0000011696054],"category_scores_gemma":[0.00024164496,0.0001314089,0.0000643313,0.00032285118,0.00018406373,0.00022203712,0.00011917351,0.00025930654,1.886389e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053867803,0.0005584427,0.00015751728,0.00015551342,0.00004192547,6.3188196e-7,0.0013621112,0.010024258,0.00039404808,0.98451966,0.000014595033,0.002717406],"study_design_scores_gemma":[0.0016422761,0.000781678,0.00015295386,0.0005597799,0.00007988143,0.0000028795512,0.0005844507,0.78187525,0.0023429159,0.21189266,0.000003884098,0.00008138004],"about_ca_topic_score_codex":0.0000734128,"about_ca_topic_score_gemma":0.0000017607399,"teacher_disagreement_score":0.772627,"about_ca_system_score_codex":0.00012902045,"about_ca_system_score_gemma":0.00021499573,"threshold_uncertainty_score":0.5358699},"labels":[],"label_agreement":null},{"id":"W4409603283","doi":"10.61091/jcmcc127b-143","title":"Research on Virtual Scene Creation and Interactive Learning Model for Music Performance Combining Virtual Reality and Computer Vision Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Belarusian State University","keywords":"Virtual reality; Computer science; Human–computer interaction; Computer graphics (images); Multimedia; Artificial intelligence","score_opus":0.04499557746672781,"score_gpt":0.3740833778623869,"score_spread":0.32908780039565905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7051404,0.0001001015,0.29004124,0.0009704493,0.0032428566,0.0002545137,6.8098535e-7,0.000051739433,0.00019801056],"genre_scores_gemma":[0.98652923,0.00007576433,0.01299796,0.00004447162,0.00029827526,0.000007223466,0.0000013163246,0.000013947503,0.000031818658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979133,0.00018766672,0.0007488138,0.00039347017,0.00041590098,0.00034087445],"domain_scores_gemma":[0.995682,0.0024866613,0.0005483261,0.00024898894,0.0009333929,0.00010060571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031634923,0.00023522304,0.0005575925,0.0008766936,0.00085767405,0.00028112347,0.0005079268,0.00030734148,5.265917e-7],"category_scores_gemma":[0.0005847354,0.0002212633,0.000058323738,0.0005754887,0.00030382656,0.00040225277,0.00066066405,0.0011373895,4.9435386e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017300909,0.0003129211,0.00019195948,0.00009340723,0.000058006488,0.0000022578272,0.0013867104,0.00072216685,0.0001910038,0.94258255,0.00013522284,0.054150775],"study_design_scores_gemma":[0.0021692624,0.002862973,0.00035012,0.00057328254,0.000021903172,0.000042360552,0.00055064115,0.6071027,0.00037776568,0.3856565,0.00014331083,0.00014915901],"about_ca_topic_score_codex":0.000003119045,"about_ca_topic_score_gemma":3.6988186e-7,"teacher_disagreement_score":0.6063805,"about_ca_system_score_codex":0.00010798679,"about_ca_system_score_gemma":0.00022260526,"threshold_uncertainty_score":0.9022855},"labels":[],"label_agreement":null},{"id":"W4409603285","doi":"10.61091/jcmcc127b-078","title":"Analysis of Evaluation and Cultivation System of Scientific and Technological Innovation Talents in Power Grid Enterprises Based on CIPP Model and Fuzzy AHP Model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Fuzzy logic; Power grid; Grid; Computer science; Power (physics); Business; Knowledge management; Engineering management; Industrial engineering; Systems engineering; Management science; Operations research; Engineering; Artificial intelligence; Mathematics","score_opus":0.01691701514875004,"score_gpt":0.2847308470383952,"score_spread":0.26781383188964514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950089,0.000031729913,0.0035289417,0.0000793117,0.0005842662,0.00021400681,0.0000043579807,0.000004618882,0.00054388616],"genre_scores_gemma":[0.99790126,0.000006735273,0.0020558217,0.00000826825,0.000013398784,0.0000028815932,0.0000045498164,0.0000044070825,0.0000026630091],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828196,0.000043536296,0.00086230907,0.00017632003,0.0005345436,0.00010132082],"domain_scores_gemma":[0.9985684,0.00020363565,0.0007427944,0.00011590205,0.0003388332,0.00003043254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00224699,0.00011849093,0.00038092,0.0007424676,0.0001305573,0.00006015865,0.00008990619,0.000097652264,0.0000019468407],"category_scores_gemma":[0.0005317253,0.000096923446,0.00003563049,0.0014600125,0.00020588143,0.00018253361,0.00011548813,0.0001495957,4.3580837e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001216239,0.0009837215,0.045591846,0.0003106033,0.0001309397,5.2988463e-7,0.00080683647,0.04407349,0.007627711,0.89768744,0.000033093012,0.0026321427],"study_design_scores_gemma":[0.0013967954,0.00016741913,0.016674872,0.00032713654,0.00014472459,0.0000013456519,0.00031858447,0.82961196,0.00045045288,0.15082096,0.0000028762108,0.00008287094],"about_ca_topic_score_codex":0.0000070620868,"about_ca_topic_score_gemma":7.64357e-7,"teacher_disagreement_score":0.7855385,"about_ca_system_score_codex":0.00013044031,"about_ca_system_score_gemma":0.00007667798,"threshold_uncertainty_score":0.39524233},"labels":[],"label_agreement":null},{"id":"W4409603287","doi":"10.61091/jcmcc127b-148","title":"Optimization Design of Massive Data Storage System Based on Distributed Computing Model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Distributed data store; Distributed computing; Computer data storage; Operating system","score_opus":0.028843444226758212,"score_gpt":0.2933177572009785,"score_spread":0.2644743129742203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012660347,0.000051044783,0.9957258,0.00024248775,0.0019914885,0.00039121337,0.000013391347,0.00009575212,0.00022275969],"genre_scores_gemma":[0.5828948,0.0000038725634,0.4169599,0.000021148064,0.00009996307,0.0000015027479,0.000007195997,0.000010746339,8.782709e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974242,0.00014225274,0.001224471,0.00035062394,0.0006213727,0.00023712272],"domain_scores_gemma":[0.99542195,0.0013019225,0.0015396827,0.0007392522,0.0008927208,0.000104487255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015047088,0.00025944898,0.0006560779,0.00030327143,0.0002963471,0.00018763293,0.0015662572,0.00012839337,3.9868493e-7],"category_scores_gemma":[0.00034171765,0.00024352757,0.00009826307,0.00073191384,0.00006543512,0.00031967854,0.0006346817,0.0003382681,2.5821467e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021213946,0.00019334687,0.0000020726834,0.00009444838,0.000024073015,0.0000029623932,0.00004370635,0.51712835,0.000043299824,0.48174962,0.000101542384,0.00059535884],"study_design_scores_gemma":[0.0014357814,0.0002840921,0.0000034976804,0.0006407632,0.000044570803,0.0000076280535,0.000044833756,0.82342994,0.0002946443,0.17363499,0.000023425851,0.00015579362],"about_ca_topic_score_codex":0.0000014559099,"about_ca_topic_score_gemma":1.1945297e-8,"teacher_disagreement_score":0.58162874,"about_ca_system_score_codex":0.0001589667,"about_ca_system_score_gemma":0.0003732759,"threshold_uncertainty_score":0.9930766},"labels":[],"label_agreement":null},{"id":"W4409603288","doi":"10.61091/jcmcc127b-096","title":"Research on Personalized Learning Resource Recommendation Method for Students Supported by Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Resource (disambiguation); Computer science; Artificial intelligence; Knowledge management; Data science; Mathematics education; Psychology","score_opus":0.08137220385099275,"score_gpt":0.45229894886649147,"score_spread":0.3709267450154987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603288","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.085377134,0.00014092984,0.90059066,0.004048721,0.008233178,0.00047997007,0.000002047054,0.00006927084,0.0010580804],"genre_scores_gemma":[0.9475972,0.00003000545,0.051470887,0.0001307894,0.00061441865,0.00001367906,0.000007263661,0.00002069372,0.00011505409],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971172,0.00051342195,0.0009851409,0.0003334287,0.0006804223,0.00037039234],"domain_scores_gemma":[0.9932304,0.0048372173,0.0006529785,0.00023517042,0.0009372232,0.000106988045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0081460355,0.0002009042,0.00049745216,0.0005540376,0.00071248977,0.00037375579,0.0011105447,0.00023252824,0.000006884307],"category_scores_gemma":[0.0015449204,0.00019219247,0.00012739228,0.00076871197,0.000106642015,0.00017848144,0.00035640335,0.001011771,0.0000021930812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012908509,0.00064951176,0.000039246013,0.000063791296,0.000084657215,0.0000017295695,0.0008390083,0.000032638338,0.00039134608,0.96650803,0.0018451579,0.029415805],"study_design_scores_gemma":[0.0012834138,0.001139398,0.000017656423,0.00023432085,0.00003306564,0.000016775995,0.0016006898,0.020805687,0.0049682283,0.9546007,0.015119778,0.00018028232],"about_ca_topic_score_codex":0.000005068281,"about_ca_topic_score_gemma":1.5383145e-7,"teacher_disagreement_score":0.86222005,"about_ca_system_score_codex":0.00013884559,"about_ca_system_score_gemma":0.0002698872,"threshold_uncertainty_score":0.7837382},"labels":[],"label_agreement":null},{"id":"W4409603293","doi":"10.61091/jcmcc127b-097","title":"Research on Algorithm-Driven Configuration and Optimization Strategies in Source Digital Economy","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm","score_opus":0.021379333303241346,"score_gpt":0.28554877801637363,"score_spread":0.2641694447131323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8652041,0.00013708504,0.08663674,0.0030930145,0.0053251088,0.00062609493,0.0000011701143,0.00009252036,0.038884185],"genre_scores_gemma":[0.9978043,0.000009813063,0.0014094814,0.00008450856,0.00066121033,0.000002824773,0.0000037893012,0.000014063666,0.000010028243],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986549,0.000023642844,0.00069803215,0.00016756241,0.00023716401,0.00021871497],"domain_scores_gemma":[0.99831885,0.0004282058,0.00045882518,0.00013060904,0.0006484344,0.000015075335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010945464,0.00015856545,0.00036357212,0.0009870642,0.00029319353,0.0010035739,0.00022254101,0.00015868332,0.000004216994],"category_scores_gemma":[0.00027750217,0.00015146007,0.000041744017,0.0007969687,0.00016083989,0.00094082335,0.00018582582,0.00055885955,0.0000024595295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027013351,0.00023854617,0.00042771146,0.00010560203,0.000031546304,0.0000051760626,0.00009404709,0.001388601,0.000014381988,0.9925695,0.00022824248,0.0048696394],"study_design_scores_gemma":[0.002909004,0.0001499101,0.00018363888,0.00046620183,0.00002911874,0.0000069751422,0.0037083568,0.11442826,0.000041780215,0.87566,0.0022412152,0.00017551926],"about_ca_topic_score_codex":0.000021997581,"about_ca_topic_score_gemma":0.0000010781969,"teacher_disagreement_score":0.1326002,"about_ca_system_score_codex":0.000055713186,"about_ca_system_score_gemma":0.0000841061,"threshold_uncertainty_score":0.9677486},"labels":[],"label_agreement":null},{"id":"W4409603294","doi":"10.61091/jcmcc127b-146","title":"AHP model for comprehensive assessment of college students’ employability and its parameter adjustment methods","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Employability; Analytic hierarchy process; Mathematics education; Computer science; Psychology; Management science; Mathematics; Operations research; Engineering; Pedagogy","score_opus":0.06440279413429272,"score_gpt":0.44263466034917165,"score_spread":0.3782318662148789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9578547,0.00041828156,0.02987961,0.00048479976,0.01001827,0.0010118826,0.000009848971,0.000025412439,0.00029719],"genre_scores_gemma":[0.937972,0.00006529304,0.061552376,0.000045237568,0.00031093258,0.000010773901,6.380676e-7,0.000012550266,0.000030168007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970967,0.00052642595,0.0012151969,0.0002396991,0.0006335398,0.00028840694],"domain_scores_gemma":[0.99386793,0.0034027337,0.00085271837,0.00019563042,0.0014849926,0.00019599262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004595116,0.0002108476,0.0008760493,0.00016299174,0.00043983042,0.00010773127,0.0003949838,0.00017256297,0.0000046079213],"category_scores_gemma":[0.0013746525,0.00019439583,0.00018924604,0.00029688416,0.00021309599,0.0001410073,0.00020747796,0.00027618368,9.891071e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007921721,0.001245279,0.0046676337,0.00047248506,0.00018401218,4.1588174e-7,0.005505539,0.00005609271,0.00016212354,0.9862813,0.00030235923,0.0010435649],"study_design_scores_gemma":[0.004629426,0.0005211581,0.0070061916,0.0003165566,0.00028356744,0.0000021545995,0.0020638516,0.021548778,0.00023237699,0.96213233,0.0010029486,0.00026064343],"about_ca_topic_score_codex":0.0000273719,"about_ca_topic_score_gemma":0.0000026704174,"teacher_disagreement_score":0.03167277,"about_ca_system_score_codex":0.00021827941,"about_ca_system_score_gemma":0.0006831948,"threshold_uncertainty_score":0.79272324},"labels":[],"label_agreement":null},{"id":"W4409603296","doi":"10.61091/jcmcc127b-102","title":"Mobile Learning Mode of College English Writing Based on Wireless Network","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Mode (computer interface); Wireless network; Computer network; Wireless; Multimedia; Mathematics education; Psychology; Telecommunications; Human–computer interaction","score_opus":0.010094938344756124,"score_gpt":0.2790110947638995,"score_spread":0.2689161564191434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86576366,0.0003620286,0.1052259,0.00025528643,0.02357552,0.00037326664,0.0000017122277,0.00012306224,0.0043195877],"genre_scores_gemma":[0.9852616,0.000020292639,0.01387965,0.0000478337,0.0007594855,0.0000037655218,7.017447e-7,0.000013246588,0.000013415139],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977329,0.00017677333,0.0010748283,0.00022973694,0.00047735026,0.00030844164],"domain_scores_gemma":[0.995745,0.0019530666,0.0010481512,0.00027745665,0.0008871345,0.00008917752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016084164,0.00022361478,0.0006848533,0.00032077305,0.00034357776,0.0000978358,0.00078214746,0.00022236176,0.0000023689022],"category_scores_gemma":[0.000605055,0.00021706175,0.00015740818,0.0007270628,0.00009780774,0.00017082773,0.0002654506,0.0007536485,5.108998e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047033012,0.00049770664,0.0010499591,0.00015225647,0.000057792684,0.0000070565866,0.00068082736,0.003148524,0.00010223756,0.99141514,0.00023734299,0.0026041204],"study_design_scores_gemma":[0.0032943375,0.0015610671,0.00016471077,0.001242975,0.000056837216,0.000015213607,0.0005500541,0.22681439,0.0015236603,0.7633634,0.0011321865,0.0002811512],"about_ca_topic_score_codex":0.000003106057,"about_ca_topic_score_gemma":1.2183503e-7,"teacher_disagreement_score":0.22805174,"about_ca_system_score_codex":0.00007093751,"about_ca_system_score_gemma":0.000422777,"threshold_uncertainty_score":0.88515216},"labels":[],"label_agreement":null},{"id":"W4409603300","doi":"10.61091/jcmcc127b-090","title":"Application of data mining in social network analysis and its optimization method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Social network analysis; Computer science; Data science; Social network (sociolinguistics); Data mining; World Wide Web; Social media","score_opus":0.02573976039433945,"score_gpt":0.3579990070397978,"score_spread":0.33225924664545836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603300","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10192609,0.0005815663,0.89340717,0.00027339297,0.0027030723,0.00025460377,0.0000024291005,0.000022093287,0.0008295704],"genre_scores_gemma":[0.86886424,0.00005971448,0.13018593,0.000010145613,0.0008640049,7.5195203e-7,0.00000271356,0.00000814858,0.0000043715972],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99796575,0.00028383223,0.00091011636,0.00021452397,0.00039207021,0.00023373321],"domain_scores_gemma":[0.9972186,0.0011485792,0.0010150906,0.0001529888,0.00039831415,0.00006644128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041450416,0.00013524637,0.0006752488,0.00033558224,0.00043830744,0.000091055575,0.00043097427,0.0001388134,0.0000010876922],"category_scores_gemma":[0.00059359113,0.00013924262,0.00007581885,0.0016153406,0.000074192234,0.00023197693,0.00029592286,0.00023521496,4.807945e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051168267,0.00023951009,0.0017402474,0.00011896702,0.0002985093,0.000002584901,0.00431819,0.017009912,0.00003406369,0.94672316,0.000038454178,0.029425217],"study_design_scores_gemma":[0.0017834307,0.000079526,0.00040131315,0.00021069052,0.00041492685,0.0000018925305,0.0016283976,0.70339847,0.000029676665,0.2915953,0.00028600078,0.0001703634],"about_ca_topic_score_codex":0.000048640555,"about_ca_topic_score_gemma":0.0000054109373,"teacher_disagreement_score":0.76693815,"about_ca_system_score_codex":0.000058235317,"about_ca_system_score_gemma":0.00015512756,"threshold_uncertainty_score":0.56781495},"labels":[],"label_agreement":null},{"id":"W4409603301","doi":"10.61091/jcmcc127b-131","title":"Construction of an Intelligent Control Platform for Electrical and Electronic Architecture Based on Adaptive Control Algorithm Combining Domain Control Technology and Wireless Sensing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wireless; Architecture; Computer science; Control (management); Adaptive control; Domain (mathematical analysis); Algorithm; Computer architecture; Control engineering; Electronic engineering; Engineering; Artificial intelligence; Telecommunications; Mathematics","score_opus":0.0040053027173866645,"score_gpt":0.21479745770094713,"score_spread":0.21079215498356046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603301","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33997366,0.00042065902,0.65693486,0.000060219307,0.001888745,0.0006170506,0.000009508083,0.0000518342,0.000043462376],"genre_scores_gemma":[0.98947537,0.00001794651,0.010118678,0.000028753371,0.0003133677,0.0000051894945,0.0000011207502,0.00003913512,4.5867358e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977902,0.00010252675,0.0010872262,0.00024804738,0.00031618527,0.00045581142],"domain_scores_gemma":[0.99706674,0.001607175,0.0006049401,0.00017630516,0.00040522614,0.0001395997],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009695423,0.00037062092,0.0012832088,0.0005945521,0.00022522247,0.0000842805,0.00015966273,0.00029485897,3.3854636e-7],"category_scores_gemma":[0.00017823308,0.0003410024,0.00012943264,0.00033373086,0.00017690386,0.00010673824,0.000023164044,0.0006864786,4.7978922e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015407336,0.00023506497,0.000073233015,0.00031499343,0.00059319113,0.00001261391,0.00036345498,0.006592121,0.0065360027,0.89338577,0.000004469341,0.090348326],"study_design_scores_gemma":[0.014889989,0.0018418573,0.0000108831755,0.00034573668,0.00017499621,0.00008881954,0.00035466233,0.5886824,0.0008664714,0.39249116,0.000047673504,0.00020531208],"about_ca_topic_score_codex":0.000002836591,"about_ca_topic_score_gemma":6.281597e-7,"teacher_disagreement_score":0.6495017,"about_ca_system_score_codex":0.00013979674,"about_ca_system_score_gemma":0.00010696962,"threshold_uncertainty_score":0.9999042},"labels":[],"label_agreement":null},{"id":"W4409603304","doi":"10.61091/jcmcc127b-126","title":"A mobile Internet-based instructional system design incorporating DPSO discrete particle swarm algorithm to construct course arrangement application research","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Construct (python library); Course (navigation); Computer science; Particle swarm optimization; The Internet; Swarm behaviour; Algorithm; Artificial intelligence; Engineering; Computer network; World Wide Web","score_opus":0.01337027565273656,"score_gpt":0.283082433943138,"score_spread":0.2697121582904014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603304","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36507717,0.00022343261,0.62640876,0.000020215206,0.0071692746,0.00057281426,0.000001739828,0.00012128941,0.00040532387],"genre_scores_gemma":[0.9073286,0.0000021047024,0.09203306,0.00000481331,0.00055247714,0.000036060137,0.0000013729095,0.00003871968,0.0000027924666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976771,0.00014195436,0.0009494475,0.00020745456,0.000650982,0.00037310304],"domain_scores_gemma":[0.9983553,0.0005319987,0.00026447105,0.00022129931,0.00043357347,0.00019334658],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022348515,0.0002519239,0.00050073845,0.00026412684,0.00023653882,0.00020155369,0.00034047858,0.0001189821,0.0000015770406],"category_scores_gemma":[0.00013393754,0.00025654212,0.00008868987,0.00060062454,0.00009333447,0.00012918437,0.00015498568,0.000584049,0.000003879864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015000813,0.00045941037,0.0004985059,0.0012601346,0.00043012114,0.00003140565,0.0027043144,0.27602682,0.01793617,0.67846185,0.00038668033,0.021654565],"study_design_scores_gemma":[0.002602657,0.0006587526,0.000037745882,0.0011990214,0.00006113394,0.000038712406,0.0018211779,0.9466118,0.030554362,0.015713347,0.00040804528,0.00029323323],"about_ca_topic_score_codex":0.0000128369575,"about_ca_topic_score_gemma":2.0712136e-7,"teacher_disagreement_score":0.670585,"about_ca_system_score_codex":0.00056095124,"about_ca_system_score_gemma":0.00017729167,"threshold_uncertainty_score":0.9999887},"labels":[],"label_agreement":null},{"id":"W4409603306","doi":"10.61091/jcmcc127b-091","title":"Research on the application of artificial intelligence in coal mine gas monitoring and prediction","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Coal mining; Coal; Environmental science; Mining engineering; Artificial intelligence; Computer science; Petroleum engineering; Engineering; Waste management","score_opus":0.03145207667953436,"score_gpt":0.3110961835500013,"score_spread":0.2796441068704669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98605216,0.00016214573,0.009596012,0.00014120445,0.0035759646,0.000168344,5.178406e-7,0.000019774368,0.00028387283],"genre_scores_gemma":[0.9988431,0.00006415085,0.00085104903,0.0000015079899,0.00022851538,0.0000033766046,1.2966115e-7,0.0000074607287,7.4282264e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99873656,0.000054109652,0.000618228,0.00010303581,0.0003067506,0.00018129157],"domain_scores_gemma":[0.9986142,0.0008497675,0.00015797562,0.0001444546,0.00020079553,0.000032787335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022140448,0.000100888785,0.00027224683,0.00038121638,0.0001174939,0.00004891693,0.00024300884,0.000112158814,4.1515048e-7],"category_scores_gemma":[0.00033931562,0.00008109054,0.000029802748,0.0005411388,0.00013876006,0.00005890289,0.00010111689,0.0005089208,3.2940198e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033355343,0.00014898382,0.0007463359,0.0001222916,0.00001995628,0.0000020940915,0.0005786079,0.001004968,0.003015694,0.9806832,0.0000288757,0.013615611],"study_design_scores_gemma":[0.00042603014,0.00044886532,0.00069673517,0.00061965664,0.000018211345,0.000010891897,0.0021966754,0.114795044,0.015311861,0.8653094,0.00007922661,0.000087388085],"about_ca_topic_score_codex":0.000009946295,"about_ca_topic_score_gemma":6.2259824e-7,"teacher_disagreement_score":0.11537381,"about_ca_system_score_codex":0.000054807293,"about_ca_system_score_gemma":0.000039306797,"threshold_uncertainty_score":0.33067763},"labels":[],"label_agreement":null},{"id":"W4409603307","doi":"10.61091/jcmcc127b-142","title":"Research on the Optimization Method of Japanese Text Information Dissemination Path Based on Graph Theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Scholarship Council","keywords":"Computer science; Path (computing); Graph theory; Graph; Theoretical computer science; Information retrieval; Mathematics; Combinatorics; Computer network","score_opus":0.015817120619428676,"score_gpt":0.3401000032793355,"score_spread":0.3242828826599068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603307","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0085775945,0.00003396462,0.98487526,0.00054426066,0.0019676692,0.00034777846,8.9214166e-7,0.000042558,0.0036100317],"genre_scores_gemma":[0.9194429,0.000014206382,0.080342986,0.000066218774,0.00011069735,0.000005629891,0.0000012701139,0.0000099067265,0.0000061613537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965383,0.00075885525,0.001095925,0.00018447742,0.0011817146,0.00024072295],"domain_scores_gemma":[0.98972327,0.0069418745,0.0011704094,0.00053594564,0.0015603683,0.000068129506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009173294,0.00021101818,0.00049988134,0.00097174116,0.00038638915,0.0002918343,0.0010207318,0.00014221398,0.0000032317503],"category_scores_gemma":[0.0021936256,0.00014877196,0.00017479536,0.0016788866,0.00010762349,0.0005099019,0.00024759115,0.0006260824,8.1246446e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082893865,0.00033648236,0.000004384038,0.00008052127,0.00004264529,0.0000013762992,0.0010888195,0.00940945,0.00010964543,0.98183984,0.00019880214,0.0068051564],"study_design_scores_gemma":[0.00077925046,0.0005979532,0.000019302159,0.0006598098,0.00003148046,0.0000032834944,0.000639124,0.3867698,0.0028146284,0.6075146,0.000059137,0.00011163425],"about_ca_topic_score_codex":0.0000035054313,"about_ca_topic_score_gemma":4.6927457e-8,"teacher_disagreement_score":0.9108653,"about_ca_system_score_codex":0.00011825143,"about_ca_system_score_gemma":0.00014041142,"threshold_uncertainty_score":0.60667443},"labels":[],"label_agreement":null},{"id":"W4409603310","doi":"10.61091/jcmcc127b-082","title":"Modeling the Clustering Structure of Complex Networks and Calculating Propagation Thresholds for Bandwagon Behavior of Social Media Papers from the Perspective of Knowledge Reproduction and Anti-Regulatory Discipline","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bandwagon effect; Perspective (graphical); Cluster analysis; Reproduction; Sociology; Computer science; Psychology; Artificial intelligence; Social psychology; Ecology; Biology","score_opus":0.017344204863248624,"score_gpt":0.2806390215294634,"score_spread":0.2632948166662148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937452,0.00017557395,0.0039632237,0.00020590282,0.0015435828,0.00028981737,0.000006435247,0.0000025897637,0.00006765959],"genre_scores_gemma":[0.99846643,0.000011486663,0.0010905529,0.0000036827998,0.00041384518,0.0000016699263,0.0000032179116,0.000008126478,9.608153e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987417,0.000043851658,0.00074071746,0.00013811034,0.00023812448,0.000097528944],"domain_scores_gemma":[0.9983501,0.00048554284,0.00073883065,0.000113283175,0.00028916617,0.000023081344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008460212,0.000114094415,0.0003375659,0.00004217034,0.0003366516,0.00003027839,0.0001365897,0.000074038675,0.0000032825972],"category_scores_gemma":[0.00034499308,0.00007137696,0.000060434228,0.00021423455,0.00024631727,0.00010410663,0.00018245757,0.00017391494,6.414315e-9],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017369413,0.0005016942,0.012824318,0.00028346572,0.00020444235,1.7401936e-7,0.023901882,0.015523366,0.05907143,0.88148457,0.00005422639,0.00597673],"study_design_scores_gemma":[0.0035921158,0.00028316837,0.11580221,0.0005886108,0.0004830327,0.000012706488,0.013481947,0.44629523,0.0029784278,0.416194,0.00002681053,0.0002617312],"about_ca_topic_score_codex":0.000045534813,"about_ca_topic_score_gemma":0.000011340121,"teacher_disagreement_score":0.46529058,"about_ca_system_score_codex":0.000060000468,"about_ca_system_score_gemma":0.00004434449,"threshold_uncertainty_score":0.2910668},"labels":[],"label_agreement":null},{"id":"W4409603313","doi":"10.61091/jcmcc127b-104","title":"Application of Medium-voltage High-speed Analog Communication Technology in Distribution Automation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automation; Computer science; Voltage; Electrical engineering; High voltage; Electronic engineering; Engineering; Mechanical engineering","score_opus":0.00505326237883015,"score_gpt":0.22735347215238086,"score_spread":0.22230020977355072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8983467,0.00086559163,0.09609018,0.00018143172,0.0037993623,0.0002925792,0.00000415723,0.0001466948,0.0002732853],"genre_scores_gemma":[0.9985492,0.00008776298,0.001269368,0.0000015556598,0.00006970619,0.0000032184137,0.000006337024,0.000011991133,8.4996077e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998374,0.00003571504,0.0010929246,0.00009993531,0.00023230605,0.00016512821],"domain_scores_gemma":[0.99856657,0.0002553724,0.00057420204,0.00028034844,0.00029361542,0.000029867422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009127634,0.0001593604,0.0005671568,0.0004730145,0.00007192668,0.000039663082,0.0003699296,0.00025970614,5.761621e-7],"category_scores_gemma":[0.0002973825,0.00015582079,0.00005946652,0.0008250004,0.00008648285,0.00013855642,0.0001248299,0.00036953497,4.1598605e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014640115,0.00016124184,0.0012146027,0.00033162086,0.00006111562,0.0000017193772,0.00017396125,0.00048544307,0.0054399995,0.98808324,0.00010066038,0.003931737],"study_design_scores_gemma":[0.0026586158,0.00016529376,0.002565481,0.00078158587,0.000054553893,0.000013358592,0.00043726596,0.055236895,0.014131722,0.92342436,0.0003493169,0.00018156097],"about_ca_topic_score_codex":0.000021605054,"about_ca_topic_score_gemma":0.000001594978,"teacher_disagreement_score":0.10020249,"about_ca_system_score_codex":0.00015237184,"about_ca_system_score_gemma":0.00004798629,"threshold_uncertainty_score":0.6354188},"labels":[],"label_agreement":null},{"id":"W4409603315","doi":"10.61091/jcmcc127b-073","title":"Research on the Design of Multi-Objective Decision Optimization Model and Legal Suitability in Environmental Legal Dispute Resolution","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Dispute Resolution and Class Actions","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dispute resolution; Alternative dispute resolution; Management science; Business; Computer science; Political science; Law; Engineering","score_opus":0.035642915769521166,"score_gpt":0.2973269665559142,"score_spread":0.261684050786393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.751452,0.0001878842,0.24130023,0.00056494575,0.0033964226,0.00073578616,0.0000023250357,0.000017831948,0.00234253],"genre_scores_gemma":[0.9963138,0.000041326544,0.0033308195,0.000033203658,0.00025211842,0.000004096189,9.381915e-7,0.000013016746,0.000010670595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980615,0.0001312775,0.000777755,0.00020124073,0.00058870594,0.00023953302],"domain_scores_gemma":[0.9978142,0.0011755859,0.0005062887,0.00017963837,0.0002994342,0.000024878998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038068923,0.00016950199,0.00038081108,0.0004843297,0.0004023791,0.0002896629,0.00024838845,0.00011762859,0.0000043186647],"category_scores_gemma":[0.0007912557,0.00013081024,0.000081627906,0.00054699345,0.00017686801,0.000503027,0.00029360852,0.00052336877,7.97153e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028945765,0.0008478897,0.00018325707,0.000076919234,0.000030723906,0.0000030694346,0.00009083828,0.091902435,0.0001543032,0.90559894,0.00013200348,0.0006901474],"study_design_scores_gemma":[0.002401338,0.000109353416,0.00084959937,0.0003534609,0.00003940781,0.000003971242,0.0008577909,0.85591424,0.000036329417,0.13908683,0.00023994502,0.00010775768],"about_ca_topic_score_codex":0.000050082792,"about_ca_topic_score_gemma":0.0000032342155,"teacher_disagreement_score":0.7665121,"about_ca_system_score_codex":0.0001609606,"about_ca_system_score_gemma":0.000096878626,"threshold_uncertainty_score":0.53342867},"labels":[],"label_agreement":null},{"id":"W4409603316","doi":"10.61091/jcmcc127b-106","title":"The Influence of Career Planning Education on College Students’ Entrepreneurial Intention: An Analysis of Mediating and Moderating Effects","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychology; Career planning; Entrepreneurial education; Moderation; Social psychology; Entrepreneurship education; Pedagogy; Entrepreneurship; Business","score_opus":0.011963561074344677,"score_gpt":0.3109487977989833,"score_spread":0.29898523672463867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848511,0.00019407908,0.009017209,0.000118046795,0.0055478383,0.00016679245,7.3951674e-7,0.000011699477,0.0000925023],"genre_scores_gemma":[0.9974292,0.0000109147895,0.0023728951,0.000021162643,0.00014935747,0.0000027272172,8.162208e-7,0.0000058011797,0.000007146822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99782485,0.00027842243,0.0010368483,0.00017881447,0.0005369301,0.0001441535],"domain_scores_gemma":[0.99551624,0.001950087,0.0013461857,0.000273826,0.0008315975,0.00008207781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018410425,0.00014567551,0.00049951003,0.00042202658,0.0003514762,0.00023861135,0.00060551596,0.0000713432,4.843532e-7],"category_scores_gemma":[0.0014427664,0.000117107076,0.00014883732,0.00071008573,0.000076035765,0.00023318904,0.00023510709,0.00028120287,6.2628644e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004192354,0.00073271344,0.018386297,0.00019553708,0.00047846025,0.0000012983975,0.005311362,0.0043411953,0.00035931307,0.96859676,0.000023421875,0.0015317053],"study_design_scores_gemma":[0.0075675678,0.0034745908,0.19424202,0.0055744294,0.0019687244,0.000028338061,0.008996148,0.32539138,0.0029068398,0.4490546,0.00015536415,0.0006400104],"about_ca_topic_score_codex":0.00001752286,"about_ca_topic_score_gemma":7.9656024e-7,"teacher_disagreement_score":0.51954216,"about_ca_system_score_codex":0.000048048103,"about_ca_system_score_gemma":0.00021500664,"threshold_uncertainty_score":0.47754878},"labels":[],"label_agreement":null},{"id":"W4409603321","doi":"10.61091/jcmcc127b-134","title":"Study on the role of electromagnetic waves in quantum entanglement and quantum state transport based on constrained optimization algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quantum entanglement; Quantum; Physics; State (computer science); Quantum mechanics; Quantum discord; Algorithm; Computer science","score_opus":0.011792079213677687,"score_gpt":0.26865193433451695,"score_spread":0.25685985512083925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96203655,0.00013466594,0.033677172,0.0008686601,0.0025130706,0.00047066945,0.0000016493058,0.000019429164,0.00027812377],"genre_scores_gemma":[0.9954007,0.000016450575,0.0044662724,0.000041733074,0.00006085294,0.000004457636,5.578292e-7,0.000007392915,0.0000015834358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982011,0.00018132963,0.00082107587,0.00019735398,0.00040143105,0.00019774269],"domain_scores_gemma":[0.9977831,0.0011628134,0.0005502352,0.0002379533,0.00021730691,0.00004856811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015458289,0.00018506059,0.00043656668,0.00034312418,0.00014916863,0.000061745726,0.00044376252,0.00008002463,0.0000018969411],"category_scores_gemma":[0.00017257221,0.00014263511,0.00005979491,0.00042468723,0.000095409356,0.000080758706,0.00006823927,0.00038011183,1.4028558e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061211154,0.0016401887,0.0010081462,0.000031256463,0.000050267117,0.0000098097335,0.0015346238,0.00093968346,0.00014651396,0.9923399,0.0000067394935,0.002231632],"study_design_scores_gemma":[0.0031544734,0.0030790092,0.0016223338,0.00029111435,0.000035931916,0.000010184737,0.0014348911,0.35256374,0.0009885303,0.6366592,0.000020280255,0.00014031526],"about_ca_topic_score_codex":0.0000090123785,"about_ca_topic_score_gemma":5.3345707e-7,"teacher_disagreement_score":0.35568073,"about_ca_system_score_codex":0.000048964797,"about_ca_system_score_gemma":0.0002528321,"threshold_uncertainty_score":0.58164907},"labels":[],"label_agreement":null},{"id":"W4409603325","doi":"10.61091/jcmcc127b-105","title":"Internet of Things Technology in Development of Rural Characteristic Ecological Agriculture","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Information Retrieval and Data Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; The Internet; Rural development; Geography; Internet of Things; Business; Environmental planning; Development (topology); Ecology; Environmental resource management; Computer science; Environmental science; World Wide Web; Biology; Mathematics","score_opus":0.009673225729787155,"score_gpt":0.2348391290449822,"score_spread":0.22516590331519504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9339663,0.00009552815,0.060964823,0.00012275683,0.004129585,0.00013923302,4.849866e-7,0.000017508582,0.000563833],"genre_scores_gemma":[0.9727228,0.000007366384,0.027196996,0.000015907139,0.00004778548,8.4131176e-7,9.92248e-7,0.0000031707439,0.0000041179574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977623,0.0000435346,0.0015706801,0.00009508988,0.00034064535,0.00018772096],"domain_scores_gemma":[0.9976599,0.0003240816,0.0013230997,0.0001577572,0.00048773774,0.00004743127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012290409,0.00015680712,0.00065439986,0.000470055,0.000064895175,0.00007063199,0.00077024614,0.0001737311,0.0000019145898],"category_scores_gemma":[0.0004830456,0.00011981873,0.00007375072,0.00074107695,0.00006795615,0.00037240903,0.00058580656,0.00035394332,5.351949e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033235443,0.00035995827,0.0006347662,0.00024335664,0.000046053385,0.000005023638,0.003691278,0.000004255844,0.001668191,0.98761916,0.000035079764,0.005659658],"study_design_scores_gemma":[0.00841188,0.0013922014,0.0059954324,0.0037877022,0.00006984306,0.00012924024,0.0031739683,0.023306623,0.04792199,0.90435517,0.00088504597,0.00057089044],"about_ca_topic_score_codex":0.0000026268522,"about_ca_topic_score_gemma":9.655312e-8,"teacher_disagreement_score":0.083263956,"about_ca_system_score_codex":0.00006438538,"about_ca_system_score_gemma":0.00020158707,"threshold_uncertainty_score":0.4886066},"labels":[],"label_agreement":null},{"id":"W4409603327","doi":"10.61091/jcmcc127b-150","title":"Research on Generating and Optimizing English Writing Style Based on Generative Adversarial Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Adversarial system; Generative grammar; Style (visual arts); Computer science; Linguistics; Artificial intelligence; Generative adversarial network; Natural language processing; Cognitive science; Psychology; Literature; Art; Philosophy; Deep learning","score_opus":0.032053843266055725,"score_gpt":0.3356259797965895,"score_spread":0.3035721365305338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56250495,0.0006406099,0.39216277,0.002039958,0.03621003,0.000580821,0.0000016308156,0.00015196796,0.005707286],"genre_scores_gemma":[0.94834745,0.00002591904,0.04923995,0.00018496903,0.0021722075,0.0000042352763,8.5911375e-7,0.000015718173,0.000008703867],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972397,0.00041380417,0.0008652017,0.00038289564,0.00066712743,0.0004312423],"domain_scores_gemma":[0.9940516,0.0038585037,0.00053672947,0.00035032563,0.0010632057,0.00013963459],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004299658,0.00026267493,0.0005480922,0.00062244124,0.00094011094,0.0005269844,0.0007024102,0.00028240576,0.0000021311293],"category_scores_gemma":[0.0011505284,0.00024535932,0.00009735052,0.0007020985,0.00015458047,0.00023466696,0.0003933904,0.001368766,5.989894e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067771114,0.00034852285,0.00007020517,0.000050502596,0.000053713156,0.000013860492,0.0010260593,0.0064683827,0.00011960743,0.98819935,0.00037852817,0.0032034963],"study_design_scores_gemma":[0.0042704195,0.001508933,0.00007960036,0.0009515028,0.0000347234,0.000018183266,0.0013730911,0.7125009,0.0010998135,0.2774412,0.0003995757,0.00032206395],"about_ca_topic_score_codex":0.0000044283315,"about_ca_topic_score_gemma":2.41613e-7,"teacher_disagreement_score":0.71075815,"about_ca_system_score_codex":0.00013129336,"about_ca_system_score_gemma":0.00036751796,"threshold_uncertainty_score":0.9999999},"labels":[],"label_agreement":null},{"id":"W4409603331","doi":"10.61091/jcmcc127b-071","title":"A Study on the Application of Motion Capture Technology and Animation Generation Methods in Film and Television Performances","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Animation; Computer graphics (images); Motion capture; Computer science; Motion (physics); Motion picture; Multimedia; Computer vision","score_opus":0.023824886746776235,"score_gpt":0.3496049827392494,"score_spread":0.32578009599247315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888373,0.0004970499,0.0067113778,0.0010711136,0.0015185162,0.0004794579,2.4413401e-7,0.0000080331165,0.0008768811],"genre_scores_gemma":[0.9976508,0.000108847176,0.0019905926,0.00001069069,0.00022662635,0.0000047588983,1.9988335e-7,0.0000035726755,0.0000039261295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988726,0.00021286927,0.00046880535,0.000107287335,0.00023756643,0.00010086537],"domain_scores_gemma":[0.9987204,0.0004774389,0.00046188134,0.00007465779,0.00023913066,0.000026490108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024921163,0.00009637756,0.00031322584,0.00023392646,0.00034327697,0.000056158962,0.00010433387,0.00010566341,3.5545935e-7],"category_scores_gemma":[0.00077619444,0.000066325774,0.00002403768,0.0004517316,0.00013318918,0.00010110138,0.00006784041,0.00022252643,5.382356e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002307561,0.00025422915,0.003719503,0.000054597236,0.00003227573,7.2259314e-7,0.02542213,0.0000066946413,0.00066417345,0.94991875,0.000038499074,0.019865382],"study_design_scores_gemma":[0.0049136486,0.0013848457,0.008488852,0.00071146036,0.00022552043,0.000010055591,0.15535875,0.0117233535,0.0019505342,0.8133664,0.0015712425,0.00029535283],"about_ca_topic_score_codex":0.000019986226,"about_ca_topic_score_gemma":0.000009504417,"teacher_disagreement_score":0.13655232,"about_ca_system_score_codex":0.000040067327,"about_ca_system_score_gemma":0.0000532819,"threshold_uncertainty_score":0.27046865},"labels":[],"label_agreement":null},{"id":"W4409603338","doi":"10.61091/jcmcc127b-128","title":"Analyzing UFC Mixed Martial Arts Data Based on a Multilayer Perceptron Algorithm to Provide Insight and Teach Performance Evaluation to College Fighters","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Martial Arts: Techniques, Psychology, and Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Martial arts; Computer science; Mathematics education; Artificial intelligence; Computer graphics (images); Machine learning; Algorithm; Psychology; Visual arts; Art","score_opus":0.038531046440782965,"score_gpt":0.35754640348022104,"score_spread":0.31901535703943806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94372267,0.00007948425,0.025767265,0.0035292753,0.021929214,0.0015866745,0.00000879486,0.00006710987,0.0033095146],"genre_scores_gemma":[0.9816623,0.000015173962,0.01658053,0.00023570846,0.0014454487,0.000013356517,0.0000049569226,0.000017941089,0.000024603461],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971977,0.00038663053,0.0008325444,0.00039206678,0.0007893129,0.0004017629],"domain_scores_gemma":[0.99767923,0.0005683038,0.00044509675,0.00038117432,0.0006325118,0.0002937049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061393166,0.0002387727,0.00050700863,0.00047834686,0.00082763843,0.00026727864,0.00051663385,0.00017127882,0.000016879323],"category_scores_gemma":[0.0014328158,0.00022551775,0.00006502421,0.00055860606,0.00009328945,0.00036566245,0.000243388,0.00035182686,0.0000025147283],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014315723,0.0034141252,0.0024581598,0.00047931165,0.00027714134,0.000018438968,0.04635677,0.0004581261,0.0012954804,0.23951739,0.036130037,0.6681635],"study_design_scores_gemma":[0.02004998,0.0073460215,0.010229691,0.0053446954,0.0011378982,0.000025939911,0.0151840625,0.58662355,0.002201577,0.16116558,0.18823242,0.002458592],"about_ca_topic_score_codex":0.00007918625,"about_ca_topic_score_gemma":0.000019183322,"teacher_disagreement_score":0.66570485,"about_ca_system_score_codex":0.00029660368,"about_ca_system_score_gemma":0.0004985973,"threshold_uncertainty_score":0.9196347},"labels":[],"label_agreement":null},{"id":"W4409603345","doi":"10.61091/jcmcc127b-113","title":"Application of Multi Information Data Fusion in College Public Sports Basketball Teaching","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Basketball; Computer science; Mathematics education; Psychology; Geography; Archaeology","score_opus":0.05065683695408249,"score_gpt":0.33648211251647586,"score_spread":0.28582527556239334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97230256,0.00037897646,0.0150811095,0.0011980504,0.0081282575,0.0007598643,0.000010128448,0.000023772654,0.0021172985],"genre_scores_gemma":[0.98940575,0.00007195359,0.01019358,0.000054457956,0.00024568735,0.0000022116421,0.000014238792,0.000007309159,0.0000048323877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99783146,0.00007184957,0.0013071486,0.00013678754,0.00047586666,0.00017688063],"domain_scores_gemma":[0.99761057,0.00036968698,0.0009671402,0.00034626745,0.0006158914,0.000090422414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027492198,0.00014483788,0.0006181088,0.00043803448,0.00014232338,0.000041539908,0.00027323986,0.00012393814,0.0000017258353],"category_scores_gemma":[0.0012286444,0.00012976993,0.00006268881,0.00039187114,0.000057934383,0.00040986887,0.00034433018,0.00041783028,4.579292e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021281712,0.0017598778,0.039921433,0.0015798875,0.00013063455,0.0000062320987,0.0029809705,0.000009820922,0.0000811399,0.9172338,0.0007819114,0.035301447],"study_design_scores_gemma":[0.04941712,0.0022633357,0.08113556,0.008986511,0.0011995306,0.00032143554,0.04635216,0.19914858,0.0006843632,0.56406957,0.045169644,0.001252195],"about_ca_topic_score_codex":0.00003220123,"about_ca_topic_score_gemma":6.8631704e-7,"teacher_disagreement_score":0.35316426,"about_ca_system_score_codex":0.000113592956,"about_ca_system_score_gemma":0.00037465285,"threshold_uncertainty_score":0.5291864},"labels":[],"label_agreement":null},{"id":"W4409603657","doi":"10.61091/jcmcc127b-207","title":"Research on industrial product design optimization based on simulation and genetic algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genetic algorithm; Computer science; Product (mathematics); Algorithm; Product design; Mathematics; Machine learning","score_opus":0.04497116354992761,"score_gpt":0.2972287164316446,"score_spread":0.25225755288171703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603657","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11708111,0.0005188896,0.84540033,0.00039603826,0.032391593,0.001782667,0.0000032991009,0.00023272153,0.002193338],"genre_scores_gemma":[0.99257004,0.000012924865,0.005971364,0.000011652794,0.0013965786,0.0000052620476,6.7275937e-7,0.000027077705,0.000004429576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979009,0.0002970879,0.00078853406,0.00019755823,0.00052405597,0.0002918704],"domain_scores_gemma":[0.99730486,0.0017311148,0.0002559805,0.00021487814,0.0004102139,0.00008292651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023493653,0.00022855493,0.00052047434,0.00061957695,0.000303012,0.00017066603,0.00022181333,0.00035775395,0.0000021722274],"category_scores_gemma":[0.0007006448,0.00021053586,0.00006082094,0.0005646886,0.00008048978,0.00008056931,0.000052712858,0.0010003092,9.3790857e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018793804,0.00018889431,0.000017861701,0.00006871178,0.00007699317,0.000013226099,0.00007335579,0.9314265,0.00004608159,0.049211163,0.0002585384,0.018430714],"study_design_scores_gemma":[0.004886665,0.00096509623,0.000014369114,0.0005991152,0.000049755155,0.0000074450827,0.00007604723,0.94612193,0.00066459156,0.046230108,0.00021959936,0.00016525388],"about_ca_topic_score_codex":0.0000021817796,"about_ca_topic_score_gemma":2.7617805e-8,"teacher_disagreement_score":0.87548894,"about_ca_system_score_codex":0.00014317322,"about_ca_system_score_gemma":0.00012864338,"threshold_uncertainty_score":0.85854036},"labels":[],"label_agreement":null},{"id":"W4409603665","doi":"10.61091/jcmcc127b-245","title":"Multi-dimensional evaluation method of art teaching quality based on analytic hierarchy process","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Department of Education, Fujian Province","keywords":"Analytic hierarchy process; Process (computing); Quality (philosophy); Computer science; Analytic network process; Management science; Mathematics; Engineering; Epistemology; Operations research; Philosophy; Programming language","score_opus":0.0393007924118105,"score_gpt":0.3885263269153381,"score_spread":0.3492255345035276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603665","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31348047,0.00010504088,0.66906536,0.0006826877,0.013429739,0.00054904126,0.0000020618304,0.000054709097,0.002630911],"genre_scores_gemma":[0.9163489,0.0000010613643,0.08336062,0.0000817726,0.0001830689,0.0000026659902,0.000001245286,0.000011432142,0.000009257968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99609685,0.00047655893,0.0014465094,0.00031054477,0.0013997451,0.0002697736],"domain_scores_gemma":[0.99496096,0.002075508,0.0012735351,0.0003685245,0.0011304467,0.0001909932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076983753,0.00026132335,0.0008315172,0.00039172542,0.00021267224,0.00021315529,0.0006605064,0.000121560064,0.0000025703946],"category_scores_gemma":[0.0025642973,0.00022171214,0.00022376393,0.0005282785,0.00006482482,0.00037631128,0.00021570931,0.00052158395,0.000001470529],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001365665,0.0023458076,0.00022477475,0.0005744671,0.00014882183,0.000010698879,0.0007937107,0.0029897178,0.00074153545,0.9764974,0.0001959868,0.015340498],"study_design_scores_gemma":[0.0042903866,0.0006598412,0.00020490323,0.0010488289,0.00008498925,0.000011915718,0.00009388195,0.64864933,0.0015688787,0.3431155,0.00008153238,0.00019000297],"about_ca_topic_score_codex":0.000002623823,"about_ca_topic_score_gemma":8.950671e-8,"teacher_disagreement_score":0.6456596,"about_ca_system_score_codex":0.000104452876,"about_ca_system_score_gemma":0.00062411564,"threshold_uncertainty_score":0.90411586},"labels":[],"label_agreement":null},{"id":"W4409603667","doi":"10.61091/jcmcc127b-247","title":"Seismic Signal Processing and Source Location Based on Deep Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; SIGNAL (programming language); Signal processing; Seismology; Geology; Artificial intelligence; Digital signal processing; Computer hardware","score_opus":0.0092270254306186,"score_gpt":0.2393856760295078,"score_spread":0.2301586505988892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603667","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20123798,0.0007899805,0.79301596,0.00070759683,0.0033897744,0.00013848646,6.648432e-8,0.00006130217,0.00065885286],"genre_scores_gemma":[0.99216336,0.000016788377,0.007332898,0.00015732608,0.00030492793,0.0000012517655,2.3399089e-7,0.000010844345,0.000012388056],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998324,0.00015491647,0.0006395779,0.00024400889,0.00037247132,0.000265023],"domain_scores_gemma":[0.9977888,0.00089249003,0.0006076609,0.00015143541,0.00046692157,0.00009271517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013715106,0.0002255065,0.00049751124,0.0002909932,0.0006240839,0.00030462875,0.0003656973,0.0001348578,8.7003696e-7],"category_scores_gemma":[0.0003446862,0.00020178538,0.0000723839,0.0004685352,0.00010675197,0.00022595536,0.00022035762,0.00055557163,9.540108e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015741128,0.0005977253,0.0020599966,0.0005903507,0.00014043818,0.00002471297,0.0031829898,0.018500915,0.00008052619,0.79056644,0.00011742537,0.18398105],"study_design_scores_gemma":[0.00235165,0.0006253989,0.00071449584,0.0005559657,0.000047543064,0.000036006044,0.00024255391,0.7653697,0.00016132255,0.22899435,0.0007143463,0.00018666494],"about_ca_topic_score_codex":0.0000034670413,"about_ca_topic_score_gemma":9.9789595e-8,"teacher_disagreement_score":0.7909254,"about_ca_system_score_codex":0.00004591743,"about_ca_system_score_gemma":0.00015688731,"threshold_uncertainty_score":0.8228569},"labels":[],"label_agreement":null},{"id":"W4409603673","doi":"10.61091/jcmcc127b-223","title":"Research on intelligent operation and maintenance of electrochemical energy storage plant based on multimodal fusion sensing technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electrochemical energy storage; Fusion; Energy storage; Computer science; Process engineering; Sensor fusion; Systems engineering; Electrochemistry; Reliability engineering; Environmental science; Engineering; Artificial intelligence; Supercapacitor; Chemistry; Physics","score_opus":0.010269688943861344,"score_gpt":0.26249624597044036,"score_spread":0.25222655702657903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8361058,0.00040646116,0.15654203,0.00014555447,0.005514322,0.0002604425,0.0000023620169,0.000058907495,0.0009640584],"genre_scores_gemma":[0.998292,0.000048308157,0.0013456515,0.000012422417,0.0002760255,9.197871e-7,0.0000010316331,0.00002073003,0.0000028649526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998304,0.00009412128,0.00072260696,0.0001627075,0.0004425981,0.00027395153],"domain_scores_gemma":[0.9983873,0.0008120167,0.0002191559,0.00017613963,0.000330984,0.000074453805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009047253,0.00019530472,0.00056084077,0.0005143555,0.00015217363,0.0000552394,0.00015784199,0.00019220545,7.8583184e-7],"category_scores_gemma":[0.00023261113,0.00017031695,0.00006502159,0.0003053459,0.00008038846,0.000045796187,0.000061528466,0.00058438134,2.587928e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053852005,0.0003525996,0.000028678392,0.00037185432,0.000099317665,0.000029685387,0.00027444112,0.014563369,0.0796909,0.8964836,0.00012926129,0.007437756],"study_design_scores_gemma":[0.0034508293,0.0011105032,0.000013221609,0.0014156563,0.000030142217,0.00003053627,0.00043035598,0.8017108,0.06757205,0.12368786,0.00034685162,0.00020122541],"about_ca_topic_score_codex":0.0000045116135,"about_ca_topic_score_gemma":4.480333e-7,"teacher_disagreement_score":0.7871474,"about_ca_system_score_codex":0.00014866811,"about_ca_system_score_gemma":0.000056319477,"threshold_uncertainty_score":0.6945324},"labels":[],"label_agreement":null},{"id":"W4409603675","doi":"10.61091/jcmcc127b-196","title":"A Study on Improving Semantic Consistency of Translation Systems by Combining Dynamic Computing Methods in English Corpus","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Jilin Office of Philosophy and Social Science; Henan Office of Philosophy and Social Science","keywords":"Computer science; Consistency (knowledge bases); Natural language processing; Translation (biology); Artificial intelligence; Information retrieval; Chemistry","score_opus":0.016288306506166188,"score_gpt":0.32592750652418884,"score_spread":0.30963920001802264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603675","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35876167,0.0008327258,0.632887,0.000033375545,0.006309688,0.00064511853,8.6154984e-7,0.00009885096,0.00043068937],"genre_scores_gemma":[0.9378805,0.000016796059,0.06196474,0.000010511727,0.00009534779,0.0000034581628,7.501237e-7,0.00002488212,0.0000029897142],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99510336,0.0006798999,0.0026103505,0.00044992202,0.00075221766,0.000404234],"domain_scores_gemma":[0.99321616,0.0029251464,0.0023574668,0.00053448015,0.00085628714,0.00011048832],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0051331604,0.00040573644,0.0015902079,0.00088739966,0.0002377854,0.00031066829,0.0010294333,0.00019126757,2.7398042e-7],"category_scores_gemma":[0.0010462622,0.00039264833,0.00022143069,0.0013486764,0.000094222974,0.00040489246,0.00037566797,0.0006447367,1.593269e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012481428,0.0040670107,0.0018741017,0.00085186376,0.00046010164,0.00006447236,0.012479052,0.0010647372,0.009740279,0.9219618,0.00004589028,0.04726589],"study_design_scores_gemma":[0.0126420455,0.003407269,0.0005311368,0.003337367,0.00036619624,0.000048992657,0.0055155586,0.6493775,0.004448119,0.31939396,0.00006694139,0.0008648683],"about_ca_topic_score_codex":0.000032428397,"about_ca_topic_score_gemma":0.0000010121659,"teacher_disagreement_score":0.6483128,"about_ca_system_score_codex":0.00020972843,"about_ca_system_score_gemma":0.00019868699,"threshold_uncertainty_score":0.99985254},"labels":[],"label_agreement":null},{"id":"W4409603676","doi":"10.61091/jcmcc127b-239","title":"Construction and optimization method of modern dance movement style feature classification model based on deep learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dance; Movement (music); Style (visual arts); Artificial intelligence; Feature (linguistics); Computer science; Deep learning; Pattern recognition (psychology); Art; Visual arts; Aesthetics; Linguistics; Philosophy","score_opus":0.012781676517132644,"score_gpt":0.2556448680158121,"score_spread":0.24286319149867946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603676","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0848837,0.000075626194,0.9095962,0.0011273827,0.0020535795,0.00022573945,5.865557e-7,0.000043847507,0.0019933307],"genre_scores_gemma":[0.90401465,0.000013057482,0.09554136,0.00015122198,0.00025257742,0.0000024075705,0.0000039283645,0.000015117439,0.0000057078346],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871767,0.000028697183,0.00064609485,0.00016761385,0.00029637033,0.00014358158],"domain_scores_gemma":[0.99770707,0.00024091409,0.0011992306,0.00015104131,0.00068796956,0.000013801247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009481317,0.00017559167,0.0004142016,0.0004912742,0.00028092344,0.00014628925,0.00017186679,0.00017291235,0.0000019235342],"category_scores_gemma":[0.00039939664,0.00016704167,0.000064970525,0.00052841974,0.000094994844,0.00029392834,0.00010749005,0.0004292194,1.9631409e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064479726,0.00022193321,0.00067119795,0.00024715852,0.000046914087,7.031074e-7,0.00007465609,0.06251224,0.0007862294,0.9233847,0.000055192246,0.011934576],"study_design_scores_gemma":[0.0014760221,0.000056625184,0.00008412448,0.00023072,0.00007837689,0.000001560186,0.00023197528,0.66264164,0.00017228963,0.33487964,0.00005819205,0.000088831366],"about_ca_topic_score_codex":0.0000049680216,"about_ca_topic_score_gemma":3.3747898e-7,"teacher_disagreement_score":0.8191309,"about_ca_system_score_codex":0.00004443617,"about_ca_system_score_gemma":0.000046583715,"threshold_uncertainty_score":0.6811761},"labels":[],"label_agreement":null},{"id":"W4409603678","doi":"10.61091/jcmcc127b-208","title":"Effects of multi-source topographic features on lightning activity in Inner Mongolia: a quantitative analysis based on spatio-temporal data mining and machine learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Inner Mongolia University","keywords":"Lightning (connector); Inner mongolia; Cartography; Geography; Archaeology; Physics","score_opus":0.029212983550468512,"score_gpt":0.32564598532043676,"score_spread":0.29643300176996823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600674,0.00010794768,0.03803811,0.00009977256,0.0012222283,0.00024213165,0.0000013948239,0.000012368983,0.00020864306],"genre_scores_gemma":[0.9570638,0.00001281564,0.042821854,0.000026967857,0.000049114056,0.0000015936818,0.000002373088,0.000013818356,0.000007683589],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99748427,0.00067368185,0.00070768007,0.00031802748,0.00061349716,0.00020285153],"domain_scores_gemma":[0.99438655,0.004197832,0.0009838842,0.00027621342,0.00007700652,0.00007848774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003575736,0.00023577885,0.0007610136,0.000574041,0.00019665681,0.000084075975,0.00036877792,0.00016397757,0.0000056182284],"category_scores_gemma":[0.002928969,0.0002076105,0.00010640184,0.0011283121,0.00011776639,0.0001507206,0.00037309344,0.00064608967,1.99922e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031708798,0.007595933,0.674314,0.0018968364,0.0019568899,0.000109772445,0.016236546,0.14362805,0.0053885505,0.10229859,0.00023519176,0.043168712],"study_design_scores_gemma":[0.005517004,0.0012196472,0.03736273,0.0007979517,0.00048069618,0.000002486533,0.0002542161,0.93647057,0.0019136952,0.015663147,0.00004572895,0.00027214523],"about_ca_topic_score_codex":0.00016235547,"about_ca_topic_score_gemma":0.000039910083,"teacher_disagreement_score":0.7928425,"about_ca_system_score_codex":0.00008204658,"about_ca_system_score_gemma":0.000041762974,"threshold_uncertainty_score":0.8466111},"labels":[],"label_agreement":null},{"id":"W4409603682","doi":"10.61091/jcmcc127b-249","title":"An integrated teaching method of college physical education based on multi-classification support vector machine","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Support vector machine; Computer science; Relevance vector machine; Machine learning; Artificial intelligence; Structured support vector machine; Mathematics education; Pattern recognition (psychology); Psychology","score_opus":0.01863449107508566,"score_gpt":0.31119273219313476,"score_spread":0.2925582411180491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8437934,0.000029611543,0.1324723,0.002381243,0.014126156,0.0007296936,0.000009626648,0.0001548955,0.006303051],"genre_scores_gemma":[0.982038,8.5033867e-7,0.016892442,0.0002253498,0.0007901559,0.0000043665027,0.000015767433,0.000023489396,0.000009574101],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99827826,0.00007213627,0.0009150653,0.00020111396,0.0003479989,0.00018539777],"domain_scores_gemma":[0.9970633,0.0004181403,0.001282681,0.00029671745,0.0009146872,0.000024478106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016578416,0.00023772911,0.00059917755,0.00078081805,0.00029507972,0.00013833623,0.0004211062,0.00015865293,0.0000066487105],"category_scores_gemma":[0.00076221616,0.00020952827,0.00012673574,0.0007783431,0.00008856502,0.00039080833,0.000086922104,0.00063581154,0.0000019437412],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081603466,0.0032010602,0.0008352365,0.0002198976,0.00005554983,0.0000016949826,0.00011477752,0.000044361153,0.0020616448,0.98407465,0.00046186682,0.008847627],"study_design_scores_gemma":[0.006567825,0.00066345657,0.0023081198,0.0009796239,0.00040152294,0.000009899991,0.002228375,0.5400391,0.00155302,0.44058457,0.004220817,0.00044367707],"about_ca_topic_score_codex":0.00006414858,"about_ca_topic_score_gemma":0.0000016137242,"teacher_disagreement_score":0.5434901,"about_ca_system_score_codex":0.00007586492,"about_ca_system_score_gemma":0.0002496277,"threshold_uncertainty_score":0.8544315},"labels":[],"label_agreement":null},{"id":"W4409603684","doi":"10.61091/jcmcc127b-240","title":"A Study of Using Principal Component Analysis to Enhance Semantic Role Annotation in Chinese Autoanalysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Principal component analysis; Annotation; Natural language processing; Computer science; Component (thermodynamics); Information retrieval; Artificial intelligence","score_opus":0.01846439807144693,"score_gpt":0.3765999545253375,"score_spread":0.35813555645389056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97794324,0.000105627485,0.01944456,0.00009486261,0.0017519607,0.00032685898,6.562155e-7,0.000011183422,0.00032102477],"genre_scores_gemma":[0.9934742,0.000006931366,0.0062389947,0.000010019394,0.00025138675,0.0000019327426,6.713995e-7,0.000008624683,0.000007243474],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962986,0.00064677896,0.0015951708,0.00024709437,0.0009529861,0.00025935916],"domain_scores_gemma":[0.99642414,0.0012259666,0.0011353131,0.0001918151,0.0008860034,0.00013678458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004452221,0.00020616791,0.0012030725,0.0015597796,0.00032438987,0.00013909272,0.0003944763,0.00009208816,0.0000057707725],"category_scores_gemma":[0.0011167497,0.00018999488,0.00029418874,0.0047169444,0.00006486422,0.00015502713,0.00019193954,0.00026140478,3.0331424e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004897989,0.01052202,0.22959486,0.0002859862,0.006372009,0.00006317982,0.13211428,0.10957175,0.0018852786,0.49807304,0.00001222957,0.011015582],"study_design_scores_gemma":[0.0057169483,0.00094005733,0.08609593,0.000583733,0.004953971,0.0000050166677,0.034892872,0.28917348,0.00024562847,0.5765612,0.000099655816,0.0007315286],"about_ca_topic_score_codex":0.0009800564,"about_ca_topic_score_gemma":0.00022146691,"teacher_disagreement_score":0.17960173,"about_ca_system_score_codex":0.00019208399,"about_ca_system_score_gemma":0.0002577951,"threshold_uncertainty_score":0.7747767},"labels":[],"label_agreement":null},{"id":"W4409603687","doi":"10.61091/jcmcc127b-231","title":"A Study of Piano Tone Teaching in the Context of Artificial Intelligence Interaction","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Piano; Tone (literature); Context (archaeology); Computer science; Speech recognition; Psychology; Human–computer interaction; Acoustics; Art; History; Physics","score_opus":0.039023729220747656,"score_gpt":0.36139875006504074,"score_spread":0.3223750208442931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9677256,0.00010121418,0.024336573,0.00046947307,0.0067203105,0.00024742744,2.7878096e-7,0.000009411209,0.00038972235],"genre_scores_gemma":[0.99715775,0.000007088697,0.0026480253,0.000024021725,0.00015549023,0.0000019948423,1.5531364e-7,0.000004136562,0.0000013247864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977713,0.00028002626,0.0012833632,0.0001440275,0.0003782379,0.00014303016],"domain_scores_gemma":[0.9966383,0.0017309169,0.0010354957,0.00028849824,0.0002805354,0.000026265936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002823837,0.00013496203,0.00049867184,0.0003908642,0.00013129119,0.0000686233,0.00094082305,0.00009788988,9.0057455e-7],"category_scores_gemma":[0.0006894101,0.00010496196,0.00008011905,0.00050404255,0.00007762131,0.00019984564,0.00022705932,0.0006078035,2.1942999e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043838674,0.0021706366,0.000522807,0.000062066785,0.000050940856,0.000005541874,0.016509883,0.000028298997,0.00022883799,0.96875,0.000022519343,0.011604649],"study_design_scores_gemma":[0.0009987861,0.0013957137,0.0005520312,0.00040321908,0.00004536563,0.000044700806,0.03258722,0.0046826815,0.0017163986,0.9573976,0.00006263932,0.00011367157],"about_ca_topic_score_codex":0.00003864995,"about_ca_topic_score_gemma":0.000006228255,"teacher_disagreement_score":0.029432174,"about_ca_system_score_codex":0.00003974347,"about_ca_system_score_gemma":0.00014927161,"threshold_uncertainty_score":0.42802244},"labels":[],"label_agreement":null},{"id":"W4409603689","doi":"10.61091/jcmcc127b-232","title":"Construction of Tianjin Fashion Industry Data Analysis System under the Framework of International Consumption Center City","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Tianjin Municipal Education Commission","keywords":"Center (category theory); Consumption (sociology); Business; Data center; Regional science; Industrial organization; Computer science; Geography; Computer network; Sociology","score_opus":0.028003375263609808,"score_gpt":0.2838921267746823,"score_spread":0.2558887515110725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9595727,0.00004982391,0.02848605,0.000968307,0.0097034825,0.00014941063,0.000008313352,0.000025064344,0.0010368829],"genre_scores_gemma":[0.9975326,0.000009879728,0.0017019856,0.00005228333,0.0006778234,7.111038e-7,0.000014804013,0.000007920073,0.000001992076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981581,0.00003360248,0.0011285569,0.00015475183,0.00039573014,0.0001292581],"domain_scores_gemma":[0.9963852,0.00040277455,0.0019571027,0.00041202054,0.00083226804,0.0000106175585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014733922,0.00014885544,0.0005305677,0.0006390839,0.00018047329,0.00012946388,0.00074079545,0.0002902911,0.000014027306],"category_scores_gemma":[0.0004104825,0.00011792805,0.0001225028,0.0010996445,0.00023765568,0.00036382634,0.0005443058,0.00063156744,7.259715e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034310724,0.00022101657,0.06461224,0.00023072114,0.00071644346,9.894684e-7,0.000039873372,0.000031992546,0.00006362606,0.9335506,0.00016793203,0.00033024634],"study_design_scores_gemma":[0.005410642,0.00009124883,0.024398858,0.0022211925,0.0030787692,0.0000349578,0.007871391,0.028995644,0.0003884076,0.92609054,0.0010273515,0.00039101232],"about_ca_topic_score_codex":0.00002614121,"about_ca_topic_score_gemma":0.0000019708039,"teacher_disagreement_score":0.040213384,"about_ca_system_score_codex":0.000045511297,"about_ca_system_score_gemma":0.000052546493,"threshold_uncertainty_score":0.48089665},"labels":[],"label_agreement":null},{"id":"W4409603692","doi":"10.61091/jcmcc127b-192","title":"A finite element analysis-based study of the effects of biomechanical characteristics on instructional interventions in sports","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Education of the People's Republic of China","keywords":"Finite element method; Psychological intervention; Computer science; Psychology; Physical medicine and rehabilitation; Biomechanics; Physical therapy; Applied psychology; Structural engineering; Engineering; Medicine; Anatomy","score_opus":0.014381601933395697,"score_gpt":0.29487694910057927,"score_spread":0.28049534716718355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939304,0.00002810235,0.0005521831,0.000038437996,0.005019471,0.00037774065,9.4701016e-7,0.0000043315595,0.000048393],"genre_scores_gemma":[0.9995099,0.0000047131557,0.0003229073,0.000015087728,0.00013412033,0.0000022526915,0.0000012468707,0.0000075928415,0.0000022084785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977142,0.000041775707,0.0014222092,0.000117852855,0.0005738339,0.00013008577],"domain_scores_gemma":[0.99783486,0.0003952592,0.0011947713,0.00020811723,0.0003182628,0.000048748454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000934251,0.00014402143,0.0008564615,0.00064372533,0.00006916091,0.00001554659,0.00014775604,0.00007585191,0.0000037016139],"category_scores_gemma":[0.00036224964,0.000104653955,0.00032819356,0.0009681613,0.000043157394,0.000034941757,0.00008088426,0.00034211512,4.4419625e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016061505,0.02238166,0.72468257,0.0048239734,0.002466553,0.000101912185,0.0026717626,0.0007265,0.0006989848,0.23413534,0.000014500444,0.005690065],"study_design_scores_gemma":[0.039621662,0.010645133,0.8404592,0.014896699,0.0053465767,0.00002264564,0.001748611,0.030231027,0.004372681,0.052271783,0.000038072096,0.00034590103],"about_ca_topic_score_codex":0.000005134171,"about_ca_topic_score_gemma":8.514015e-7,"teacher_disagreement_score":0.18186356,"about_ca_system_score_codex":0.000058819434,"about_ca_system_score_gemma":0.00016236017,"threshold_uncertainty_score":0.42676646},"labels":[],"label_agreement":null},{"id":"W4409603693","doi":"10.61091/jcmcc127b-216","title":"A Study on Designing Multi-Level Computing Models to Enhance the Effectiveness of Computer Education by Combining Generative AI Techniques","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hubei University","keywords":"Computer science; Generative grammar; Artificial intelligence; Machine learning; Computer architecture; Human–computer interaction","score_opus":0.03533557199122667,"score_gpt":0.3554044255832883,"score_spread":0.3200688535920616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603693","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26305786,0.000078723744,0.7291439,0.00030649087,0.0064565646,0.0007187038,8.458861e-7,0.000043231466,0.000193662],"genre_scores_gemma":[0.92873555,0.0000026576363,0.070755675,0.00020978398,0.00024980967,0.0000133146095,8.373512e-7,0.000018545095,0.000013822081],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964835,0.001108,0.0012262119,0.000359104,0.0005480932,0.00027510777],"domain_scores_gemma":[0.9947617,0.002455073,0.0010216944,0.00043677975,0.0012024698,0.00012227],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004925903,0.00030820264,0.000720624,0.00039892294,0.0005131893,0.00041236304,0.0010656283,0.00010431629,6.3246404e-7],"category_scores_gemma":[0.00043047988,0.0002491303,0.0001790416,0.0007884954,0.00006979569,0.000297445,0.0004604298,0.0006601622,9.3307585e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010485722,0.005635851,0.0004913479,0.00024938505,0.0002901062,0.0000032928488,0.012647479,0.001689673,0.0020651864,0.95934314,0.0012985201,0.016181186],"study_design_scores_gemma":[0.0091237575,0.011404123,0.004622999,0.0141908545,0.00038725085,0.000085405525,0.010041206,0.26921046,0.06447181,0.614331,0.00052404683,0.0016070871],"about_ca_topic_score_codex":0.000024185427,"about_ca_topic_score_gemma":3.900709e-7,"teacher_disagreement_score":0.6656777,"about_ca_system_score_codex":0.0001458312,"about_ca_system_score_gemma":0.00039882556,"threshold_uncertainty_score":0.99999607},"labels":[],"label_agreement":null},{"id":"W4409603694","doi":"10.61091/jcmcc127b-182","title":"Design and implementation of a personalized vocal music teaching system assisted by artificial intelligence algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Music and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Singing; Speech recognition; Multimedia; Acoustics","score_opus":0.028612985791378786,"score_gpt":0.30138285426405936,"score_spread":0.2727698684726806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603694","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11049024,0.00045675228,0.883928,0.00018623559,0.004540572,0.00024037613,8.1401186e-7,0.000034413933,0.00012257349],"genre_scores_gemma":[0.91143316,0.00001076857,0.088264905,0.000031521777,0.00024292378,0.00000198676,5.097787e-7,0.0000113248725,0.0000029247112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973548,0.00026098418,0.0013080537,0.00026084133,0.0005501365,0.0002651689],"domain_scores_gemma":[0.99726194,0.00078084914,0.0012603397,0.00018186324,0.00040129723,0.00011372475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028655177,0.0002388932,0.0006966868,0.00023869675,0.00037844456,0.00039622994,0.00050481985,0.000116665346,0.0000016467211],"category_scores_gemma":[0.00016964218,0.00021535337,0.00010201946,0.00036934952,0.0001063747,0.0003460157,0.00029611035,0.00038345286,2.2801125e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036591686,0.00019702953,0.00001603441,0.0004158415,0.00009205489,0.000008070542,0.0031487744,0.000017630417,0.0022194732,0.8825822,0.0001728239,0.111093484],"study_design_scores_gemma":[0.004151191,0.0011199836,0.000054053322,0.0021955166,0.000253637,0.00021212679,0.006344415,0.28946164,0.017596211,0.6777525,0.00029968133,0.0005590682],"about_ca_topic_score_codex":0.000019769568,"about_ca_topic_score_gemma":1.5598438e-7,"teacher_disagreement_score":0.8009429,"about_ca_system_score_codex":0.00009612809,"about_ca_system_score_gemma":0.0002516072,"threshold_uncertainty_score":0.8781856},"labels":[],"label_agreement":null},{"id":"W4409603695","doi":"10.61091/jcmcc127b-214","title":"A Study on Decision Tree Analysis Method of Teaching Quality Improvement for Teachers of Marketing in Higher Education Institutions","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Decision tree; Quality (philosophy); Mathematics education; Marketing; Medical education; Computer science; Psychology; Business; Machine learning; Medicine; Physics","score_opus":0.037643939610921794,"score_gpt":0.3800457823143637,"score_spread":0.3424018427034419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.647389,0.000053565003,0.34912488,0.00014458981,0.0026268645,0.0002860541,0.0000016921194,0.0000120459545,0.00036129777],"genre_scores_gemma":[0.903284,0.0000028109941,0.09661434,0.000012644016,0.0000696955,0.000005334354,9.2143847e-7,0.000004764438,0.0000054721254],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99697465,0.00044549874,0.0017008642,0.00026675913,0.00043888527,0.00017334629],"domain_scores_gemma":[0.9942587,0.0032510553,0.0015612668,0.00047098007,0.00040753034,0.00005048897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009674176,0.00017843182,0.0009681481,0.0012439485,0.00016695213,0.000068614674,0.0007573146,0.00013403292,9.3421085e-7],"category_scores_gemma":[0.0021004502,0.0001571136,0.0002808116,0.0013301095,0.000045039924,0.000203298,0.0003129939,0.00038438977,4.94364e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016016026,0.0029019336,0.004835769,0.000097935976,0.0005960553,0.0000011139165,0.0010784036,0.00028296415,0.00041203466,0.95150846,0.00002827296,0.038096875],"study_design_scores_gemma":[0.009344703,0.00202463,0.038471848,0.00096156436,0.0015150787,0.0000034027644,0.0037256067,0.01619692,0.001430947,0.92577475,0.0001771511,0.00037340852],"about_ca_topic_score_codex":0.00004279733,"about_ca_topic_score_gemma":0.0000047558024,"teacher_disagreement_score":0.25589502,"about_ca_system_score_codex":0.00011919978,"about_ca_system_score_gemma":0.0002802313,"threshold_uncertainty_score":0.6406906},"labels":[],"label_agreement":null},{"id":"W4409603696","doi":"10.61091/jcmcc127b-224","title":"Research on the Construction and Application of Educational Big Data-Driven Subject Knowledge Graph in Colleges and Universities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Subject (documents); Graph; Mathematics education; Computer science; Big data; Knowledge graph; Data science; Knowledge management; World Wide Web; Information retrieval; Psychology; Theoretical computer science; Data mining","score_opus":0.03190751599745879,"score_gpt":0.3181239570647738,"score_spread":0.28621644106731503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930653,0.00010918312,0.00024325971,0.0012526951,0.0015277693,0.00017342616,0.0000030746914,0.0000017827176,0.0036235042],"genre_scores_gemma":[0.9990363,0.00006012347,0.0007069146,0.000009457123,0.00016291597,0.000001785604,0.0000018717725,0.000003961728,0.000016650867],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990064,0.00008864586,0.00039692817,0.0001312474,0.00027170908,0.00010507866],"domain_scores_gemma":[0.9978262,0.0015556889,0.00026644248,0.00015384387,0.0001627147,0.00003510691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015625461,0.000080864826,0.00018871692,0.00023170924,0.00027923097,0.00005081537,0.00022801556,0.000054936118,0.0000056959034],"category_scores_gemma":[0.00021497226,0.000060088063,0.00001713698,0.000661855,0.00038068354,0.00013438352,0.00028216018,0.0002535216,5.0726896e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023684677,0.00022082595,0.005069975,0.00004437031,0.000017762022,1.2939465e-7,0.0005993789,0.000023884311,0.00019602074,0.99143624,0.0003041941,0.0020635268],"study_design_scores_gemma":[0.0011962015,0.00022404913,0.021697415,0.00027650865,0.00002489522,0.000013150662,0.0069804247,0.0034639563,0.00022459571,0.96452934,0.0012694097,0.00010004431],"about_ca_topic_score_codex":0.000066657805,"about_ca_topic_score_gemma":0.000008999118,"teacher_disagreement_score":0.0269069,"about_ca_system_score_codex":0.00010830691,"about_ca_system_score_gemma":0.00017873294,"threshold_uncertainty_score":0.24503201},"labels":[],"label_agreement":null},{"id":"W4409603697","doi":"10.61091/jcmcc127b-242","title":"A Study of Using Linear Regression Analysis Model to Enhance the Teaching of English Reading Comprehension Skills in Colleges and Universities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reading comprehension; Reading (process); Mathematics education; Comprehension; Regression analysis; Psychology; Computer science; Linguistics; Machine learning; Philosophy; Programming language","score_opus":0.013995618526248057,"score_gpt":0.32736319205320563,"score_spread":0.3133675735269576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9591959,0.00008708382,0.03861979,0.00011389864,0.0016808675,0.00019546052,4.6865094e-7,0.000008714546,0.00009781572],"genre_scores_gemma":[0.975483,0.000009967335,0.024424106,0.000008651927,0.00006492256,6.198631e-7,1.02635155e-7,0.000004028107,0.0000046133855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840593,0.00017553582,0.00076860684,0.00017078033,0.00034642802,0.00013270522],"domain_scores_gemma":[0.99740565,0.00095766614,0.0007537175,0.00024461673,0.00059639604,0.000041972547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015395567,0.00013792935,0.0006076687,0.00061823934,0.0002197878,0.000046979898,0.0004967547,0.0000778088,1.1638652e-7],"category_scores_gemma":[0.00034434858,0.00010556471,0.00007017576,0.000904764,0.000058524867,0.00017558219,0.0005068509,0.00034234015,1.152789e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004780928,0.0015562265,0.0048354464,0.00010929763,0.00026507705,0.000004976229,0.029144188,0.012860379,0.00068807375,0.94973224,0.000018433759,0.0007378296],"study_design_scores_gemma":[0.0038405042,0.0011883182,0.0026554333,0.0025947925,0.00060660584,0.000009197947,0.043426696,0.62218356,0.0041957335,0.31891105,0.000031918695,0.00035618187],"about_ca_topic_score_codex":0.000021439535,"about_ca_topic_score_gemma":0.0000010237002,"teacher_disagreement_score":0.6308212,"about_ca_system_score_codex":0.00007554229,"about_ca_system_score_gemma":0.00018702252,"threshold_uncertainty_score":0.43048036},"labels":[],"label_agreement":null},{"id":"W4409603698","doi":"10.61091/jcmcc127b-217","title":"Research on Data Analysis and Teaching Strategy Optimization Methods of English Online Classroom Combined with Multiple Regression Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Regression analysis; Regression; Mathematics education; Machine learning; Psychology; Statistics; Mathematics","score_opus":0.08371218910956287,"score_gpt":0.42438713562399555,"score_spread":0.3406749465144327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603698","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30055073,0.00020230084,0.6958682,0.00024358969,0.0026141715,0.0001724912,0.0000031496618,0.000032930733,0.00031242918],"genre_scores_gemma":[0.72606766,0.000038143793,0.2736518,0.000009254816,0.00021202912,8.848757e-7,0.0000072479784,0.000008851264,0.0000041009193],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99712306,0.0006330081,0.00096815533,0.00039937752,0.0006117958,0.000264599],"domain_scores_gemma":[0.9934707,0.0032444755,0.00075177103,0.00074452435,0.0016862175,0.000102311096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059906957,0.00021843902,0.0007660873,0.001050815,0.00041983376,0.00019747116,0.0012085111,0.00021857435,9.7254e-7],"category_scores_gemma":[0.0024905195,0.00017096456,0.00007151296,0.0010481004,0.0001297079,0.00039725334,0.0008017099,0.0010800217,5.3794622e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019033109,0.0009382392,0.0007440359,0.00013342683,0.00043517404,0.000003747891,0.00093545404,0.028621947,0.00008017749,0.9624109,0.00004104397,0.005465488],"study_design_scores_gemma":[0.0020439879,0.0008868382,0.000110580426,0.00047702642,0.0001765305,0.000005117693,0.0011161178,0.79914457,0.00025949976,0.19560786,0.000035487712,0.00013636639],"about_ca_topic_score_codex":0.000024067338,"about_ca_topic_score_gemma":0.0000024794733,"teacher_disagreement_score":0.77052265,"about_ca_system_score_codex":0.00005547497,"about_ca_system_score_gemma":0.00033118625,"threshold_uncertainty_score":0.69717324},"labels":[],"label_agreement":null},{"id":"W4409603700","doi":"10.61091/jcmcc127b-220","title":"A Machine Learning Algorithm-Based Quality Improvement Strategy for Inclusive Preschool Public Services","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Computer science; Quality management; Algorithm; Machine learning; Artificial intelligence; Engineering; Operations management","score_opus":0.01839590103011316,"score_gpt":0.31141969363652355,"score_spread":0.29302379260641037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603700","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16151842,0.0018366261,0.80409247,0.0031371152,0.02643645,0.0013737812,0.000017068176,0.00014290564,0.00144519],"genre_scores_gemma":[0.9762365,0.000013837262,0.022628997,0.00012514378,0.00093439623,0.0000123970385,0.000004106054,0.00001576431,0.000028862745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973339,0.0001764678,0.0012875723,0.00026008138,0.0005800338,0.0003619773],"domain_scores_gemma":[0.9956982,0.0012843742,0.0013749421,0.000281307,0.0011822628,0.00017887706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025869785,0.00027198336,0.0006749406,0.00028254703,0.00057477853,0.00076409505,0.00091336155,0.00013694927,0.0000018344646],"category_scores_gemma":[0.00034967109,0.00023755008,0.00020537351,0.0004183216,0.000045364028,0.00038776814,0.00037930236,0.00039928278,6.0038104e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019255574,0.00044383635,0.00023026274,0.00049518695,0.00012533765,0.0000015276406,0.0009252321,0.0001478418,0.00025515194,0.9848533,0.00010776277,0.012395265],"study_design_scores_gemma":[0.005265461,0.0011667652,0.00022900519,0.0004941484,0.0000613007,0.000011580053,0.0006292462,0.1692153,0.000857737,0.8135328,0.008177079,0.0003595585],"about_ca_topic_score_codex":0.00011802073,"about_ca_topic_score_gemma":0.0000023235496,"teacher_disagreement_score":0.81471807,"about_ca_system_score_codex":0.00015289137,"about_ca_system_score_gemma":0.00062948285,"threshold_uncertainty_score":0.96870106},"labels":[],"label_agreement":null},{"id":"W4409603701","doi":"10.61091/jcmcc127b-194","title":"Research on Intelligent Organization and Management Method of Civic and Political Education Content Based on Knowledge Map","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Politics; Content (measure theory); Knowledge management; Political science; Content analysis; Public relations; Computer science; Sociology; Social science","score_opus":0.06962283468073895,"score_gpt":0.43707014191034377,"score_spread":0.36744730722960484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83962727,0.00062106684,0.055885095,0.00870891,0.028505895,0.002466488,0.0000039651063,0.0000818509,0.06409948],"genre_scores_gemma":[0.9885017,0.00004849776,0.010822212,0.00006632452,0.00049734156,0.0000037989882,9.685799e-7,0.000011986426,0.000047127236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978913,0.0004930852,0.0006271652,0.00017117128,0.0005911256,0.00022614532],"domain_scores_gemma":[0.99534374,0.0020438237,0.00035465058,0.00012352431,0.0020215905,0.000112674024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048576593,0.00013138575,0.0003408531,0.0006161398,0.00040080195,0.00012985751,0.0001980662,0.00011445717,0.0000049233167],"category_scores_gemma":[0.0010801423,0.00012123884,0.000034911365,0.00072101457,0.00023437243,0.00007210937,0.00012573255,0.00033879364,5.533334e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000421834,0.0009179524,0.00029533939,0.00030946833,0.000035504778,7.1569644e-7,0.0016490818,0.0000012493967,0.00006957269,0.992632,0.0004006207,0.0036463437],"study_design_scores_gemma":[0.00109813,0.00069188967,0.0008588786,0.00164689,0.000054025913,0.0000027644778,0.010440687,0.00044319438,0.0038141343,0.9784938,0.0023078185,0.00014777336],"about_ca_topic_score_codex":0.000031882562,"about_ca_topic_score_gemma":7.3305443e-7,"teacher_disagreement_score":0.14887449,"about_ca_system_score_codex":0.00027577448,"about_ca_system_score_gemma":0.00056514697,"threshold_uncertainty_score":0.49439764},"labels":[],"label_agreement":null},{"id":"W4409603703","doi":"10.61091/jcmcc127b-238","title":"A Study of Teaching Quality Improvement in English Listening Teaching in the Context of Speech Recognition Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Active listening; Context (archaeology); Speech recognition; Quality (philosophy); Computer science; Psychology; Teaching method; Mathematics education; Communication; History","score_opus":0.03300319670575024,"score_gpt":0.37111545330239,"score_spread":0.33811225659663974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914831,0.00004190505,0.0001500565,0.00031462352,0.0034554284,0.0006233067,8.99158e-7,0.000015378457,0.003915326],"genre_scores_gemma":[0.99711996,0.000005672962,0.0024534734,0.000017923352,0.00038614357,0.000006522337,4.798024e-7,0.0000075417793,0.0000022682157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996364,0.0008817412,0.001731165,0.00015033099,0.00065870024,0.00021404595],"domain_scores_gemma":[0.9955565,0.0019278029,0.0015511,0.00016224741,0.0007786739,0.000023705075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01497388,0.00014273566,0.0006365379,0.00068826607,0.00026335652,0.00006744811,0.0005110591,0.00014482472,0.0000011340821],"category_scores_gemma":[0.006549877,0.00012214237,0.00006945582,0.00076970586,0.00014753963,0.00018410536,0.00014393503,0.0009803157,3.7146204e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050087074,0.0019276397,0.00627183,0.00010519776,0.000038943817,0.0000037169923,0.10205079,8.1665246e-7,0.00048699102,0.8705859,0.000025334939,0.01845274],"study_design_scores_gemma":[0.002821438,0.0008592566,0.0007691251,0.0009368705,0.0000326157,0.0000019575423,0.30032095,0.00002937475,0.0012689966,0.69264483,0.00018788467,0.00012671892],"about_ca_topic_score_codex":0.0006906203,"about_ca_topic_score_gemma":0.00008350158,"teacher_disagreement_score":0.19827017,"about_ca_system_score_codex":0.00020288458,"about_ca_system_score_gemma":0.00025974595,"threshold_uncertainty_score":0.7841288},"labels":[],"label_agreement":null},{"id":"W4409603704","doi":"10.61091/jcmcc127b-190","title":"Predictive model for comprehensive development of vocational education students and optimal design of personalized learning path based on graph neural network","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Artificial neural network; Computer science; Personalized learning; Path (computing); Graph; Artificial intelligence; Machine learning; Mathematics education; Psychology; Theoretical computer science; Teaching method; Computer network; Pedagogy; Cooperative learning","score_opus":0.029011727400052874,"score_gpt":0.3191683635490062,"score_spread":0.2901566361489533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603704","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2429473,0.00019560223,0.7541316,0.00011740505,0.0022253708,0.00033755877,7.4600996e-7,0.000015066213,0.000029364546],"genre_scores_gemma":[0.76299894,0.000008288895,0.23686476,0.000021162376,0.00008599122,0.000009684974,0.0000015080365,0.0000061534715,0.0000035122287],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982411,0.00011028094,0.00081319327,0.0001906411,0.00048006797,0.00016469244],"domain_scores_gemma":[0.99661374,0.0012329025,0.0010051713,0.000130225,0.00095654157,0.00006141715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011054928,0.0001737188,0.00047325305,0.0002370234,0.00026176427,0.000060771814,0.00044208422,0.00010304133,2.8698403e-7],"category_scores_gemma":[0.00019905405,0.00016284134,0.00008117627,0.00028000472,0.0000987258,0.00012089192,0.00016411718,0.00025547834,3.0943237e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003129859,0.0013106316,0.0007047004,0.00027579005,0.00016869049,3.8146158e-7,0.0018181683,0.07369812,0.00018805375,0.91812277,0.00012625221,0.003273445],"study_design_scores_gemma":[0.0023736376,0.0007460814,0.0009260835,0.0005727844,0.000052020605,0.0000033118781,0.00034776705,0.73889965,0.0003234797,0.25562203,0.000020363788,0.00011281092],"about_ca_topic_score_codex":5.1037057e-7,"about_ca_topic_score_gemma":1.7122888e-8,"teacher_disagreement_score":0.66520154,"about_ca_system_score_codex":0.00006261286,"about_ca_system_score_gemma":0.000952717,"threshold_uncertainty_score":0.6640478},"labels":[],"label_agreement":null},{"id":"W4409603705","doi":"10.61091/jcmcc127b-193","title":"A study of the depth calculation of the thematic distribution of English children’s literature and its guidance for educational content selection","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Content (measure theory); Thematic map; Distribution (mathematics); Mathematics education; Psychology; Statistics; Mathematics; Sociology; Computer science; Geography; Artificial intelligence; Cartography; Mathematical analysis","score_opus":0.029197302572800763,"score_gpt":0.33448580283313273,"score_spread":0.30528850026033194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98781073,0.00034190234,0.00040048893,0.00011605247,0.010168891,0.0010372269,0.000008085719,0.000004044705,0.00011258476],"genre_scores_gemma":[0.99932945,0.000008067546,0.00009872767,0.000006766022,0.0005136987,0.000009888973,0.0000026509856,0.000007973978,0.00002275646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99806184,0.00022939748,0.001146046,0.00010393029,0.0003320979,0.00012666908],"domain_scores_gemma":[0.99439347,0.0011088684,0.0019164353,0.00013989634,0.0024076693,0.000033648666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012885613,0.00012213396,0.00041668073,0.00006672619,0.00036425248,0.000021465943,0.00020119402,0.000109971,5.448021e-7],"category_scores_gemma":[0.0032433418,0.000077201126,0.00011193373,0.00037125841,0.00004738919,0.00009685385,0.00009502347,0.00029583933,2.8789975e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023191689,0.002635535,0.088343546,0.0024407648,0.00029663276,3.749372e-8,0.04139789,0.00014489505,0.00048891077,0.862884,0.0006359763,0.0004999074],"study_design_scores_gemma":[0.014053349,0.0017855935,0.3703351,0.015067216,0.0009142288,0.000009968152,0.013570661,0.004718859,0.0041889106,0.5748232,0.0001696163,0.0003632653],"about_ca_topic_score_codex":0.000013599429,"about_ca_topic_score_gemma":0.000002190897,"teacher_disagreement_score":0.28806075,"about_ca_system_score_codex":0.00009354198,"about_ca_system_score_gemma":0.00030855899,"threshold_uncertainty_score":0.38828173},"labels":[],"label_agreement":null},{"id":"W4409603706","doi":"10.61091/jcmcc127b-237","title":"A neural network-based quantification of risk in large health investments and its applicability to international investment law","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"International Arbitration and Investment Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; International investment; Investment (military); Business; Actuarial science; Law; Economics; Political science; Computer science; Artificial intelligence; Foreign direct investment","score_opus":0.01748103705518317,"score_gpt":0.27382578027653776,"score_spread":0.2563447432213546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97517395,0.0002459983,0.0044643017,0.0020940392,0.008561075,0.00087409315,0.000007682069,0.00002958772,0.008549252],"genre_scores_gemma":[0.9928327,0.000008682147,0.0011087864,0.0054524457,0.0005719938,0.000005492115,0.000006848916,0.000011218674,0.0000018226755],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979712,0.00005730429,0.0011334955,0.00019665423,0.00042795547,0.0002134063],"domain_scores_gemma":[0.99795645,0.00023838345,0.0011519728,0.00012406244,0.00048458402,0.000044520206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019996834,0.00017681994,0.00046068433,0.0003125425,0.00016833429,0.00018408353,0.00026005504,0.00006710304,0.000005714895],"category_scores_gemma":[0.00039996777,0.00016620541,0.00007648711,0.00039820257,0.000047589518,0.00033862703,0.00019482683,0.00023707609,0.0000013880967],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010874918,0.00057351054,0.0021457134,0.0001896086,0.00003972671,0.0000010654867,0.00012636094,0.0008211269,0.00007085811,0.9956025,0.00018651143,0.00013429878],"study_design_scores_gemma":[0.0053783003,0.00013992039,0.0049259095,0.0005642569,0.000047942136,0.0000018320047,0.0001358301,0.16514471,0.00023077505,0.8176051,0.0056211855,0.00020427641],"about_ca_topic_score_codex":0.000097377255,"about_ca_topic_score_gemma":0.0000168832,"teacher_disagreement_score":0.17799741,"about_ca_system_score_codex":0.00010085537,"about_ca_system_score_gemma":0.000082934246,"threshold_uncertainty_score":0.67776597},"labels":[],"label_agreement":null},{"id":"W4409603709","doi":"10.61091/jcmcc127b-251","title":"Multi-Sensor-Based Water Environment Monitoring System","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental monitoring; Computer science; Environmental science; Environmental engineering","score_opus":0.022000814052132604,"score_gpt":0.2546917793474445,"score_spread":0.2326909652953119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973963,0.00008607956,0.011887675,0.00024329167,0.01295362,0.00027052444,8.176259e-7,0.00012817285,0.00046678528],"genre_scores_gemma":[0.95900863,0.000007927146,0.040542062,0.000008187351,0.00038445243,0.0000035083085,3.899726e-7,0.000025105244,0.000019750449],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974194,0.00012535678,0.0010746451,0.00028225326,0.0006641039,0.00043423256],"domain_scores_gemma":[0.99861056,0.00031383047,0.0005018525,0.00038595582,0.00006525181,0.00012253641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016135615,0.0003139974,0.0006344946,0.0001739131,0.00033976408,0.00017516124,0.0006071265,0.00021311265,0.00000962721],"category_scores_gemma":[0.000178164,0.00024083637,0.00016082803,0.00018446514,0.00019008493,0.00015997468,0.00065265753,0.00047836607,0.000022012819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009693211,0.008781056,0.20323882,0.004411546,0.0013977403,0.00063709234,0.0074589113,0.013894989,0.27728173,0.46373275,0.0015769388,0.016619124],"study_design_scores_gemma":[0.02678823,0.0022835613,0.0064216424,0.004509509,0.00083298166,0.00017845322,0.00955331,0.05468379,0.6501463,0.23248187,0.0096655805,0.0024548],"about_ca_topic_score_codex":0.000026573269,"about_ca_topic_score_gemma":5.4912395e-8,"teacher_disagreement_score":0.37286454,"about_ca_system_score_codex":0.00068902696,"about_ca_system_score_gemma":0.000026710239,"threshold_uncertainty_score":0.9821022},"labels":[],"label_agreement":null},{"id":"W4409603711","doi":"10.61091/jcmcc127b-205","title":"Research on uncertainty modeling and decision-making system for intelligent energy management of building complexes based on Bayesian networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bayesian network; Bayesian probability; Computer science; Systems engineering; Artificial intelligence; Management science; Data science; Data mining; Engineering","score_opus":0.04268647126631567,"score_gpt":0.3750477297157477,"score_spread":0.332361258449432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603711","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13061072,0.00007082053,0.8638893,0.000043569446,0.0038691424,0.00032187425,7.774519e-7,0.0000126609075,0.0011811602],"genre_scores_gemma":[0.8784643,0.000017660544,0.12129331,0.000025431462,0.00017470312,0.000005402997,3.043389e-7,0.000017413799,0.0000015016377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970933,0.00028391674,0.0010833765,0.0002849668,0.00094831636,0.00030610527],"domain_scores_gemma":[0.99395317,0.0048946273,0.00055248715,0.00026862125,0.00023753312,0.000093590716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070460984,0.00020896626,0.00055819715,0.00029138182,0.00043656013,0.0001239454,0.00040080998,0.00015415078,0.000005941733],"category_scores_gemma":[0.000377037,0.0001846676,0.0001203451,0.000449864,0.000104308994,0.000058521207,0.00034315206,0.00039574783,1.6042605e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026428822,0.00017246268,0.000044246117,0.00021331775,0.000045047127,0.0000030312417,0.00009303377,0.3841221,0.000030586976,0.5991198,0.000050503248,0.015841594],"study_design_scores_gemma":[0.0011389125,0.000426211,0.000009645354,0.0021535072,0.000047318714,0.0000023746543,0.00037799642,0.6130964,0.00013993877,0.3824874,0.000029979497,0.000090309084],"about_ca_topic_score_codex":0.00001560364,"about_ca_topic_score_gemma":7.028568e-7,"teacher_disagreement_score":0.7478536,"about_ca_system_score_codex":0.00033125214,"about_ca_system_score_gemma":0.000040544615,"threshold_uncertainty_score":0.75305265},"labels":[],"label_agreement":null},{"id":"W4409603714","doi":"10.61091/jcmcc127b-202","title":"Fuzzy Logic Decision Making Model and Risk Early Warning Mechanism in Mental Health Management of Higher Education Students","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology and Human Factors in Education and Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Government of Jiangsu Province","keywords":"Fuzzy logic; Mechanism (biology); Mental health; Warning system; Computer science; Artificial intelligence; Psychology; Psychiatry; Epistemology","score_opus":0.019556848535313334,"score_gpt":0.36268468208106197,"score_spread":0.34312783354574866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906614,0.0009115851,0.0011384629,0.0003375889,0.0060320194,0.00036431392,8.824968e-7,0.000014570941,0.00053918245],"genre_scores_gemma":[0.98604935,0.0007159079,0.012988446,0.00008243249,0.00011845613,0.0000019182726,8.0667667e-7,0.000010762688,0.00003192201],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982976,0.000058467307,0.00093711837,0.00016044303,0.00036111823,0.00018530802],"domain_scores_gemma":[0.99860394,0.00013042153,0.0008734823,0.00014285403,0.00016374918,0.00008555712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012057021,0.00015327684,0.000582463,0.00040980813,0.00021397311,0.00004190258,0.00015727886,0.00013286411,0.0000031715558],"category_scores_gemma":[0.000051092753,0.00013733497,0.00006301531,0.00021649135,0.00005145706,0.00006953934,0.00016233294,0.0004689848,2.3313619e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018542518,0.0011919733,0.016235668,0.0005834788,0.0001031771,0.0000022109282,0.0019761038,0.000009582271,0.000013354747,0.9686368,0.0001172249,0.010945],"study_design_scores_gemma":[0.0040811254,0.00056234014,0.035636652,0.0033855855,0.00009717246,0.000012758364,0.0010181103,0.0006141157,0.00001684368,0.95440006,0.00007859047,0.00009663729],"about_ca_topic_score_codex":0.000009616702,"about_ca_topic_score_gemma":5.069091e-7,"teacher_disagreement_score":0.019400984,"about_ca_system_score_codex":0.00017174275,"about_ca_system_score_gemma":0.0002317897,"threshold_uncertainty_score":0.5600357},"labels":[],"label_agreement":null},{"id":"W4409603719","doi":"10.61091/jcmcc127b-233","title":"Information Literacy Development Path for Teachers of Finance and Economics in Higher Vocational Colleges and Universities in the Era of Big Data Based on Dynamic Planning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Path (computing); Literacy; Mathematics education; Financial literacy; Big data; Sociology; Political science; Economics; Pedagogy; Computer science; Finance; Psychology; Data mining","score_opus":0.018328400766221255,"score_gpt":0.26251859986212167,"score_spread":0.24419019909590042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976973,0.000038517777,0.00059652503,0.00031921646,0.00077855476,0.00014301905,0.000005831607,8.369944e-7,0.00042023344],"genre_scores_gemma":[0.99586993,0.00001367583,0.0040442087,0.00003347854,0.000025756093,0.0000013883982,0.0000062693825,0.0000022038332,0.0000031020763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99921525,0.00002067598,0.0005065168,0.00006013862,0.00012842158,0.000068995294],"domain_scores_gemma":[0.9988985,0.0005314212,0.00041744992,0.000084660634,0.000055761233,0.000012220415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092841417,0.00007029843,0.00017808354,0.00011161621,0.000077262426,0.00003452747,0.00016608415,0.000038301743,9.4342596e-7],"category_scores_gemma":[0.00008169792,0.000055399567,0.000012416549,0.00017962421,0.00006171838,0.00027133382,0.0000867686,0.00012316552,2.9595654e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019902528,0.00067301834,0.015973646,0.00036079003,0.000037766447,5.9862407e-7,0.018953165,0.0031797292,0.000046170997,0.928097,0.00015793323,0.032321144],"study_design_scores_gemma":[0.011070881,0.0008144295,0.44080907,0.002586883,0.00005725494,0.0000073560354,0.013830735,0.15185083,0.00015227647,0.37156594,0.00685771,0.0003966225],"about_ca_topic_score_codex":0.000012282979,"about_ca_topic_score_gemma":0.0000012643773,"teacher_disagreement_score":0.5565311,"about_ca_system_score_codex":0.00009825904,"about_ca_system_score_gemma":0.00016264901,"threshold_uncertainty_score":0.22591287},"labels":[],"label_agreement":null},{"id":"W4409603721","doi":"10.61091/jcmcc127b-185","title":"An Efficient Construction Method for Matrix Decomposition-Based Natural Language Processing Models in Low-Dimensional Embedding Space","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hanshan Normal University","keywords":"Embedding; Computer science; Space (punctuation); Decomposition; Matrix (chemical analysis); Matrix decomposition; Natural (archaeology); Parallel computing; Artificial intelligence; Materials science; Physics; Geography","score_opus":0.007984324735971363,"score_gpt":0.34627011889035475,"score_spread":0.33828579415438337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603721","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09035725,0.0002635006,0.90653324,0.00030499982,0.0020603011,0.00037524613,0.0000013380845,0.00006620018,0.00003793304],"genre_scores_gemma":[0.5213462,7.8637436e-7,0.4784899,0.00002943216,0.00011673266,0.000006409413,0.0000015396207,0.000008206658,7.7565386e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998131,0.00008961358,0.0008453771,0.00029743297,0.0003807451,0.0002558548],"domain_scores_gemma":[0.9975459,0.0008340658,0.0006971352,0.00021322753,0.0006165654,0.00009310465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011287838,0.00021639318,0.00046408415,0.00038816142,0.00031320957,0.00027276383,0.00049140083,0.00010382841,3.191148e-7],"category_scores_gemma":[0.000095072406,0.00020851754,0.00012076333,0.00056044175,0.00004479667,0.00034803138,0.00011874044,0.00031975537,1.0603741e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043668817,0.00033881387,0.000005870744,0.00013718223,0.0000129741375,0.00000375631,0.00032528452,0.19990548,0.0012883827,0.7923531,0.000007732006,0.005577768],"study_design_scores_gemma":[0.0014259807,0.00010265259,0.00000806292,0.00037159832,0.000014508333,0.000021456752,0.000083378436,0.6122629,0.0016073121,0.3839717,0.000008523317,0.000121918776],"about_ca_topic_score_codex":0.0000045242914,"about_ca_topic_score_gemma":1.975688e-7,"teacher_disagreement_score":0.43098894,"about_ca_system_score_codex":0.00015608194,"about_ca_system_score_gemma":0.00029020585,"threshold_uncertainty_score":0.85030985},"labels":[],"label_agreement":null},{"id":"W4409603725","doi":"10.61091/jcmcc127b-229","title":"Identification of College Students’ Online Behavior Patterns and Optimization of Online Civic Education Strategies","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"North University of China","keywords":"Identification (biology); Mathematics education; Online teaching; Computer science; Psychology; Sociology","score_opus":0.01098714262647778,"score_gpt":0.2995807771487835,"score_spread":0.28859363452230574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926141,0.00005765521,0.0039691287,0.00010542122,0.0028730829,0.00023349847,0.000020371654,0.0000046824334,0.0001220788],"genre_scores_gemma":[0.9955454,0.000059529426,0.0042052204,0.000011624821,0.00013640751,0.0000023306716,0.000013025801,0.000008614697,0.000017888691],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981601,0.000037063608,0.0011392606,0.000119992015,0.00044481037,0.00009876151],"domain_scores_gemma":[0.998104,0.00015524859,0.0012033952,0.0001334238,0.00035542648,0.000048513266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061201025,0.00012408543,0.0003330732,0.00016599837,0.00010795479,0.000057202233,0.00023015896,0.000076758435,0.000015831665],"category_scores_gemma":[0.0001806643,0.00011023646,0.000051865347,0.00039529018,0.000098879245,0.00028285282,0.0001520911,0.00015070624,1.454205e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006891003,0.0099338405,0.06783028,0.00060993317,0.00013304052,0.0000011056223,0.0017958079,0.0024209565,0.0099769095,0.90032023,0.0002030095,0.006705953],"study_design_scores_gemma":[0.0059099747,0.0012752243,0.4682182,0.0016540118,0.0005844497,0.000044119715,0.017595194,0.017473338,0.0039951378,0.48251486,0.00018644235,0.00054902537],"about_ca_topic_score_codex":0.000040695675,"about_ca_topic_score_gemma":0.0000036634888,"teacher_disagreement_score":0.41780537,"about_ca_system_score_codex":0.000081447,"about_ca_system_score_gemma":0.00017562689,"threshold_uncertainty_score":0.44953126},"labels":[],"label_agreement":null},{"id":"W4409603726","doi":"10.61091/jcmcc127b-200","title":"Research on Employment-Oriented Talent Cultivation Model for the Pathway from Vocational Education to Higher Education Based on Computational Optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Computer science; Mathematics education; Engineering management; Sociology; Medical education; Psychology; Engineering; Pedagogy; Medicine","score_opus":0.06167712189398912,"score_gpt":0.412912821819046,"score_spread":0.3512356999250569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603726","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09717343,0.00012977542,0.82842225,0.02225532,0.03661494,0.0034286133,0.000026691574,0.00008997549,0.011858996],"genre_scores_gemma":[0.9497755,0.0000053070744,0.04695944,0.00072197284,0.0021170997,0.000104533596,0.00004071795,0.000022539201,0.0002528439],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971486,0.0003050109,0.0007755937,0.00026239964,0.0012589233,0.00024951887],"domain_scores_gemma":[0.99085355,0.003797556,0.0005886312,0.00020291121,0.0044482625,0.000109098735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033167708,0.0001875809,0.00027349903,0.00059626816,0.0012444778,0.00026653687,0.0004030377,0.00014954631,0.000014073238],"category_scores_gemma":[0.0014836631,0.00016121917,0.000093317016,0.0009995308,0.00013570742,0.00017497297,0.00006137607,0.00038749215,0.0000016858805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015952814,0.0014430488,0.00006238952,0.000024296965,0.000034433404,5.7324414e-8,0.001418255,0.06639043,0.000020920435,0.92153937,0.0045166,0.004390669],"study_design_scores_gemma":[0.0011287299,0.00035604564,0.0009971004,0.00069322274,0.000034791752,1.9855788e-7,0.0015032649,0.18358923,0.00014090833,0.80127496,0.010100259,0.000181275],"about_ca_topic_score_codex":0.00008797314,"about_ca_topic_score_gemma":0.0000022152326,"teacher_disagreement_score":0.8526021,"about_ca_system_score_codex":0.0007685476,"about_ca_system_score_gemma":0.0032969355,"threshold_uncertainty_score":0.9571642},"labels":[],"label_agreement":null},{"id":"W4409603728","doi":"10.61091/jcmcc127b-225","title":"Research on the innovative design of composition based on multi-objective optimization in Shaanxi folk women’s red ornaments","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ornaments; Composition (language); Aesthetics; Art; Literature","score_opus":0.065502977019595,"score_gpt":0.37130505851713996,"score_spread":0.30580208149754495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81716126,0.000035483463,0.16401084,0.0006872455,0.010855401,0.001593755,0.0000042571137,0.000028969396,0.005622798],"genre_scores_gemma":[0.99673694,0.0000047948697,0.0029188385,0.00010332909,0.0001709665,0.000024902725,0.0000012315088,0.000019979598,0.000019024448],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99631387,0.0013238023,0.0010898927,0.00023992523,0.0007009188,0.0003316035],"domain_scores_gemma":[0.9939644,0.0037132406,0.00076858327,0.00027281843,0.0012118143,0.00006915702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060016327,0.00021669353,0.00057778624,0.00082148006,0.00032627815,0.00011999381,0.0003515402,0.00019509754,0.00009288831],"category_scores_gemma":[0.0007038591,0.00016963959,0.00007643064,0.0015070761,0.00014159168,0.000070901784,0.000086227185,0.0008553196,0.0000030555468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005484784,0.0069135255,0.00028735684,0.00013211404,0.0002535742,0.000030131148,0.010828903,0.05952377,0.00126023,0.91234577,0.0018179638,0.0011218593],"study_design_scores_gemma":[0.042513177,0.01320933,0.0052238046,0.0040064533,0.000093790564,0.000017579907,0.021914901,0.5114173,0.0022601956,0.3984559,0.0001533982,0.000734158],"about_ca_topic_score_codex":0.0000130491,"about_ca_topic_score_gemma":2.2048621e-7,"teacher_disagreement_score":0.5138899,"about_ca_system_score_codex":0.00048009102,"about_ca_system_score_gemma":0.0002205907,"threshold_uncertainty_score":0.6917702},"labels":[],"label_agreement":null},{"id":"W4409603729","doi":"10.61091/jcmcc127b-215","title":"Research on Modeling and Efficiency Enhancement of Complex Corporate Financial Networks Based on Topological Computing Optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Topology (electrical circuits); Business; Engineering; Electrical engineering","score_opus":0.060629315767772876,"score_gpt":0.3518982966551216,"score_spread":0.29126898088734876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603729","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10435952,0.00009845677,0.89112633,0.00016479322,0.003287745,0.00031839559,4.66835e-7,0.000047977803,0.000596323],"genre_scores_gemma":[0.83496237,0.000023452749,0.16471319,0.000057658624,0.0002276717,0.0000014690834,5.1565956e-7,0.00001248718,0.0000011668873],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963465,0.00035339725,0.0013893277,0.0004188972,0.0010731455,0.0004187807],"domain_scores_gemma":[0.99462944,0.0023932522,0.0012255773,0.0004425835,0.0011822658,0.0001268804],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004498416,0.00029014263,0.00080753537,0.00066081213,0.00053053116,0.00025032286,0.00088972715,0.00021411915,0.0000016872084],"category_scores_gemma":[0.0013035232,0.00025234872,0.000116706775,0.0010325141,0.00017989376,0.00016207702,0.0006614285,0.00082160777,2.5819674e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010278983,0.00050536054,0.000011367706,0.000056084045,0.000011789708,0.000010752985,0.00010735177,0.35018545,0.00006724612,0.64581925,0.00004736447,0.0030751857],"study_design_scores_gemma":[0.0012729194,0.0012984782,0.000013245144,0.0007945741,0.000010102037,0.0000054824354,0.000032932952,0.63849497,0.0003102527,0.3576299,0.000009454098,0.00012767535],"about_ca_topic_score_codex":0.0000029236203,"about_ca_topic_score_gemma":6.3958346e-8,"teacher_disagreement_score":0.73060286,"about_ca_system_score_codex":0.000148462,"about_ca_system_score_gemma":0.00022965898,"threshold_uncertainty_score":0.99999285},"labels":[],"label_agreement":null},{"id":"W4409603731","doi":"10.61091/jcmcc127b-198","title":"Digital modeling and computational analysis of human movement mechanisms in dance anatomy","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diversity and Impact of Dance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dance; Movement (music); Computer science; Anatomy; Computer graphics (images); Art; Visual arts; Medicine; Aesthetics","score_opus":0.016062740613834916,"score_gpt":0.29930353320634956,"score_spread":0.28324079259251467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9650527,0.0002341609,0.029092759,0.000069598565,0.0026094925,0.00013974955,0.000007282933,0.000009437603,0.0027848207],"genre_scores_gemma":[0.9984079,0.0000070130563,0.0014558457,0.00003117448,0.000069454,6.025104e-7,0.0000028235531,0.000008432533,0.000016725793],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981591,0.00006086469,0.0009857478,0.00018727107,0.0003928742,0.00021412704],"domain_scores_gemma":[0.998443,0.00035508772,0.0006707827,0.00014642472,0.00029735808,0.00008732643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000889172,0.00018064165,0.0007991379,0.0007268261,0.0001303723,0.00012457109,0.0002548526,0.00011253758,0.000010014639],"category_scores_gemma":[0.00011664844,0.00018254247,0.0001500261,0.0007527205,0.00007457095,0.00021297448,0.0001901397,0.00027557346,3.0846076e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008631935,0.00069594115,0.003675059,0.000088404646,0.0008157615,0.000012561424,0.0014475212,0.002525687,0.00009932233,0.98935014,0.00002641929,0.0011768806],"study_design_scores_gemma":[0.004786289,0.0004772784,0.0035201597,0.00034803292,0.0004578963,0.000005068111,0.0018155754,0.084655404,0.000056963996,0.9036649,0.000016722668,0.00019574305],"about_ca_topic_score_codex":0.000027876054,"about_ca_topic_score_gemma":0.0000010165991,"teacher_disagreement_score":0.08568526,"about_ca_system_score_codex":0.000063611435,"about_ca_system_score_gemma":0.00005831534,"threshold_uncertainty_score":0.74438655},"labels":[],"label_agreement":null},{"id":"W4409603734","doi":"10.61091/jcmcc127b-203","title":"Context-Aware Translation Accuracy Improvement Strategies Based on Deep Reinforcement Learning in English Translation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Translation (biology); Reinforcement learning; Computer science; Artificial intelligence; Context (archaeology); Natural language processing; History; Biology","score_opus":0.012860370487113847,"score_gpt":0.27477542401613353,"score_spread":0.26191505352901967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603734","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02398082,0.00069992355,0.9684243,0.00036569062,0.005126012,0.0004652569,1.8985178e-7,0.00017118124,0.00076662144],"genre_scores_gemma":[0.9637711,0.000017774255,0.03589399,0.000070966635,0.00022458255,0.000004601949,0.0000016263812,0.000013471417,0.0000018715457],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99756795,0.00013051178,0.0011367262,0.00025829682,0.0006183837,0.00028815126],"domain_scores_gemma":[0.9971965,0.001154028,0.00082913437,0.00022923898,0.0005152669,0.00007584728],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016068304,0.00027354452,0.0005296218,0.00049064716,0.00021304391,0.0005656574,0.00060836476,0.0001733644,0.000001852171],"category_scores_gemma":[0.00044649479,0.00024911205,0.00012741501,0.000570344,0.00003853918,0.0007236008,0.000092853814,0.0007398325,2.435924e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014207693,0.00035258458,0.000051519346,0.00034847745,0.000039383904,0.000014815081,0.0037183536,0.0066202385,0.0007886087,0.87488145,0.00001699021,0.113025516],"study_design_scores_gemma":[0.0045398204,0.000970677,0.000015104476,0.0010830513,0.000030774278,0.0000031598518,0.0006131846,0.5378232,0.0036813782,0.45075932,0.00021666153,0.0002636773],"about_ca_topic_score_codex":0.0000118286025,"about_ca_topic_score_gemma":0.0000017039662,"teacher_disagreement_score":0.9397903,"about_ca_system_score_codex":0.00016628891,"about_ca_system_score_gemma":0.00030020918,"threshold_uncertainty_score":0.9999961},"labels":[],"label_agreement":null},{"id":"W4409603735","doi":"10.61091/jcmcc127b-250","title":"Propagation path optimization of modular product design based on hybrid genetic ant colony algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ant colony optimization algorithms; Modular design; Path (computing); ANT; Genetic algorithm; Ant colony; Computer science; Product (mathematics); Mathematical optimization; Algorithm; Mathematics; Machine learning; Computer network","score_opus":0.00730606264997605,"score_gpt":0.207240022930879,"score_spread":0.19993396028090296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603735","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04893087,0.00023151442,0.9447616,0.000028722161,0.005418591,0.0004058267,0.0000018927846,0.00005044102,0.0001705421],"genre_scores_gemma":[0.87532634,0.00005061427,0.12428606,0.000008256975,0.00029191142,0.000003401319,0.0000025755023,0.000028495555,0.0000023505577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982682,0.00007571973,0.0008895255,0.00015727956,0.0004210179,0.00018825462],"domain_scores_gemma":[0.99849373,0.00024850745,0.0005247755,0.000185219,0.00048068585,0.00006705449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000780204,0.00022845408,0.0005099743,0.00028263355,0.000119870434,0.000096537246,0.00020224808,0.00008313022,0.0000034826896],"category_scores_gemma":[0.0002341726,0.00021101376,0.00008243741,0.00027842793,0.000036746344,0.00011116401,0.00003808739,0.00024068537,2.2957393e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005470264,0.00026881474,0.000012670282,0.0005843208,0.00005784419,0.000006211402,0.00011808946,0.9842713,0.00019247267,0.0073134345,0.000087396074,0.0070327683],"study_design_scores_gemma":[0.0020022555,0.0004436519,0.000037315793,0.0005994729,0.000083630955,0.000007902496,0.000017751976,0.9542254,0.01785997,0.024513768,0.00003654583,0.00017230443],"about_ca_topic_score_codex":0.0000016539271,"about_ca_topic_score_gemma":1.2943747e-8,"teacher_disagreement_score":0.82639545,"about_ca_system_score_codex":0.00009078971,"about_ca_system_score_gemma":0.0001231527,"threshold_uncertainty_score":0.86048913},"labels":[],"label_agreement":null},{"id":"W4409603738","doi":"10.61091/jcmcc127b-181","title":"A Study of Knowledge Transfer in English Translation Teaching Based on Deep Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Translation (biology); Computer science; Transfer of learning; Knowledge transfer; Mathematics education; Natural language processing; Artificial intelligence; Psychology; Knowledge management; Chemistry","score_opus":0.02120410895635959,"score_gpt":0.30526711191665695,"score_spread":0.28406300296029735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.919022,0.00018509592,0.07110089,0.00013513849,0.006935858,0.0002706713,1.3361031e-7,0.00004268716,0.0023075244],"genre_scores_gemma":[0.99528354,0.0000051437974,0.004483944,0.000011763214,0.00020042945,0.000002702547,2.8014003e-7,0.000009017211,0.0000031801687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979554,0.00033764145,0.00097275735,0.0002048687,0.00033683408,0.00019254252],"domain_scores_gemma":[0.9972533,0.0017928081,0.00032906138,0.00021571263,0.0003575476,0.000051560346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002347197,0.00018228963,0.000551736,0.00066269026,0.00018848223,0.00007268464,0.00057924585,0.00015643451,0.0000011167325],"category_scores_gemma":[0.0006168581,0.00017352936,0.00009443842,0.00054473185,0.00003965899,0.00018256475,0.00007450783,0.00091205153,2.53225e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072139585,0.0035274827,0.0026211718,0.00012727093,0.000049537015,0.000006399722,0.018552557,0.0010267604,0.000103292885,0.96295494,0.0000070132714,0.010951454],"study_design_scores_gemma":[0.023634031,0.006798558,0.004755551,0.0019343968,0.00015954106,0.000019353607,0.0083204005,0.2320395,0.0011391344,0.7197875,0.0007690924,0.0006429973],"about_ca_topic_score_codex":0.0000065712306,"about_ca_topic_score_gemma":0.0000022546806,"teacher_disagreement_score":0.24316747,"about_ca_system_score_codex":0.00006302851,"about_ca_system_score_gemma":0.00019457738,"threshold_uncertainty_score":0.70763224},"labels":[],"label_agreement":null},{"id":"W4409603744","doi":"10.61091/jcmcc127b-212","title":"Analysis of the Effectiveness of Industry-Teaching Integration and Collaborative Education and Training in the Evaluation of CIPP Model of Modern Industrial Colleges Based on Principal Component Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Component (thermodynamics); Training (meteorology); Principal component analysis; Engineering management; Principal (computer security); Engineering; Mathematics education; Medical education; Computer science; Knowledge management; Psychology; Artificial intelligence; Medicine; Geography","score_opus":0.03304819373638117,"score_gpt":0.3186665741860964,"score_spread":0.2856183804497152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99667615,0.00002972987,0.0017018821,0.000076295146,0.00049683533,0.00036971451,0.0000072732973,8.5959715e-7,0.0006412419],"genre_scores_gemma":[0.9994092,0.0000028019506,0.00054272835,0.000006476476,0.000026004946,0.0000052361747,0.0000032351338,0.0000035215462,8.044858e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975986,0.0005744016,0.00089766894,0.00011982768,0.0007313801,0.00007810653],"domain_scores_gemma":[0.9968171,0.0012918762,0.0012830597,0.0001515515,0.0004320528,0.000024365649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067441557,0.000115909046,0.0005601725,0.00045120495,0.00011307607,0.000023671551,0.00017992905,0.00012171698,0.0000020523707],"category_scores_gemma":[0.0011461534,0.00007572399,0.000099515935,0.0018712305,0.0001559194,0.00010665185,0.000072970994,0.00033979845,4.267431e-9],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032607862,0.0018583857,0.06855257,0.00016662336,0.00089406705,7.068478e-8,0.0126091745,0.25248608,0.005831618,0.6490289,0.0000059091212,0.008240566],"study_design_scores_gemma":[0.0019491767,0.0002461496,0.09841286,0.0005123396,0.0017692497,4.3724285e-7,0.0033148925,0.75432587,0.0018172932,0.13757104,0.0000012998347,0.000079383055],"about_ca_topic_score_codex":0.000065623644,"about_ca_topic_score_gemma":0.000010133233,"teacher_disagreement_score":0.51145786,"about_ca_system_score_codex":0.00012496219,"about_ca_system_score_gemma":0.0004302414,"threshold_uncertainty_score":0.30879346},"labels":[],"label_agreement":null},{"id":"W4409603750","doi":"10.61091/jcmcc127b-243","title":"Deep Learning-Based Analysis of Emotional Posture in Chinese Literary Works","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychology; Artificial intelligence; Cognitive psychology; History; Literature; Computer science; Art","score_opus":0.010111705146059758,"score_gpt":0.29944261046972254,"score_spread":0.2893309053236628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9742929,0.0007855674,0.014467952,0.00013661047,0.008270184,0.00017420645,0.0000011946674,0.000020431014,0.0018509595],"genre_scores_gemma":[0.99868506,0.000012420218,0.00089613907,0.00005450031,0.0003061428,0.0000017676159,0.0000049253576,0.000014427398,0.0000246067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99752295,0.00031102344,0.0013027,0.00020754716,0.00041751395,0.00023825985],"domain_scores_gemma":[0.99708486,0.0012643094,0.0008918558,0.00020826122,0.0004527826,0.000097959295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014429885,0.00023306464,0.0010023656,0.0012635515,0.00011150654,0.000096204305,0.00029197877,0.00025026884,0.00014463604],"category_scores_gemma":[0.0004314472,0.00020543911,0.0003584688,0.0019525636,0.00007779778,0.000097237324,0.000086915614,0.0007034279,0.0000016513536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019706935,0.0056447317,0.119744614,0.0004196241,0.002898897,0.00011363496,0.013621935,0.010695736,0.00047974748,0.83002484,0.00037062514,0.01401494],"study_design_scores_gemma":[0.018549703,0.001639855,0.32735372,0.001395284,0.0013702823,0.00003185124,0.001740804,0.16654669,0.000029699984,0.48035166,0.00037877948,0.00061167974],"about_ca_topic_score_codex":0.000011379277,"about_ca_topic_score_gemma":0.0000024687079,"teacher_disagreement_score":0.34967318,"about_ca_system_score_codex":0.00007765045,"about_ca_system_score_gemma":0.00010790657,"threshold_uncertainty_score":0.83775634},"labels":[],"label_agreement":null},{"id":"W4409603756","doi":"10.61091/jcmcc127b-204","title":"Research on load balancing techniques based on numerical analysis in distributed systems","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Load balancing (electrical power); Distributed computing; Mathematics","score_opus":0.020811421387406676,"score_gpt":0.3151787789907859,"score_spread":0.29436735760337923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603756","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11506089,0.00024592548,0.8665328,0.0005140539,0.012513142,0.0006341515,0.000006847718,0.00015377585,0.0043384293],"genre_scores_gemma":[0.99678946,0.0000049775094,0.0026965656,0.000040367555,0.00043820534,0.0000058354412,0.0000031507027,0.000014893101,0.0000065776694],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99490124,0.0007570552,0.0015835167,0.00047970566,0.0016776941,0.0006007825],"domain_scores_gemma":[0.9940131,0.0031925174,0.00081080006,0.0006594694,0.0011325444,0.00019159782],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0077806516,0.0003473625,0.0012341422,0.0015213625,0.00034777558,0.0007427435,0.0013646979,0.0002551478,0.0000011117017],"category_scores_gemma":[0.00082787866,0.0003026488,0.0002798443,0.004409268,0.00008355454,0.00016332511,0.00033870543,0.001170596,0.0000026351206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012413299,0.0013899307,0.0009402651,0.00024056183,0.0002265601,0.00009612972,0.00039595307,0.030074837,0.000029168716,0.9646098,0.0008092733,0.0010633856],"study_design_scores_gemma":[0.0035261977,0.00139057,0.0009775264,0.0025873664,0.00010175211,0.000016997343,0.00028939432,0.9103146,0.00020169836,0.07889251,0.0012962738,0.00040507226],"about_ca_topic_score_codex":0.00005391248,"about_ca_topic_score_gemma":4.8028426e-7,"teacher_disagreement_score":0.8857173,"about_ca_system_score_codex":0.0006044573,"about_ca_system_score_gemma":0.00052576745,"threshold_uncertainty_score":0.99994254},"labels":[],"label_agreement":null},{"id":"W4409603760","doi":"10.61091/jcmcc127b-186","title":"Computing-based Innovation and Entrepreneurship Education Curriculum Design and Its Practical Research in Cultivating Innovative Abilities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Curriculum; Entrepreneurship; Entrepreneurship education; Engineering ethics; Knowledge management; Mathematics education; Engineering management; Pedagogy; Sociology; Engineering; Psychology; Computer science; Business","score_opus":0.07339847063881638,"score_gpt":0.4140148253504373,"score_spread":0.34061635471162094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7918101,0.00030541982,0.20037426,0.00172142,0.0050611035,0.00040760633,1.5473104e-7,0.00003051542,0.0002894141],"genre_scores_gemma":[0.86747617,0.000008699663,0.13216792,0.00006923991,0.00025701284,0.000004107262,5.553028e-7,0.000010336216,0.0000059682116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99627864,0.001309715,0.0011736645,0.00035508044,0.0005598667,0.00032300584],"domain_scores_gemma":[0.991886,0.0049689054,0.00075891655,0.0002195482,0.0020648409,0.000101755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010391332,0.00022161264,0.0005022499,0.0011134194,0.00038190317,0.0005583464,0.00034490437,0.00015427996,8.5695774e-7],"category_scores_gemma":[0.004917346,0.00020794547,0.000030629482,0.002577216,0.00011911926,0.00046890677,0.0003339682,0.00097384374,3.1210956e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022391583,0.0007206244,0.0030482062,0.00024471802,0.000020592819,0.000003546236,0.0032724405,0.00005347926,0.000271554,0.98439795,0.00009729065,0.007847216],"study_design_scores_gemma":[0.0028291931,0.0004869072,0.0024857782,0.0015069387,0.00001884201,0.000052592626,0.001912524,0.12561476,0.0016831887,0.8627969,0.00031536914,0.00029702147],"about_ca_topic_score_codex":0.00001691626,"about_ca_topic_score_gemma":1.6470356e-7,"teacher_disagreement_score":0.12556128,"about_ca_system_score_codex":0.00015646323,"about_ca_system_score_gemma":0.0011579158,"threshold_uncertainty_score":0.84797704},"labels":[],"label_agreement":null},{"id":"W4409603764","doi":"10.61091/jcmcc127b-201","title":"Research on User Intent Recognition Technology Based on Graph Neural Network in Power Marketing Intelligent Customer Service System","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Computer science; Business; Graph; Service (business); Marketing; Artificial intelligence; Theoretical computer science","score_opus":0.04216268986699548,"score_gpt":0.34242839575718487,"score_spread":0.3002657058901894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9639133,0.000051295712,0.0060191527,0.00094992016,0.014374826,0.0006518251,7.743849e-7,0.00005219251,0.013986699],"genre_scores_gemma":[0.99090666,0.0000065546237,0.008624875,0.00017792221,0.00024447692,0.000008307218,6.099542e-7,0.000023493683,0.0000070861515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958683,0.0010957757,0.0011753644,0.00032471697,0.0010717384,0.000464079],"domain_scores_gemma":[0.99547374,0.0031371817,0.0005963819,0.00031911134,0.00036978224,0.00010378053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013552298,0.0002460694,0.00054369133,0.000709493,0.0003196593,0.00012633175,0.0005106625,0.000307884,0.000056331348],"category_scores_gemma":[0.0015244604,0.00022125484,0.00010763261,0.0020554597,0.00011494962,0.000091012036,0.0003666745,0.0014571595,0.000025077175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022367889,0.0026064387,0.009814446,0.0007963375,0.0001422594,0.00011729649,0.0011267654,0.0839117,0.00049911474,0.86771184,0.0032848811,0.027752126],"study_design_scores_gemma":[0.0072607314,0.0020576608,0.0025735649,0.007208111,0.000108482134,0.00004694999,0.0036869338,0.21995915,0.0012755636,0.753786,0.0013447133,0.00069209374],"about_ca_topic_score_codex":0.000019987954,"about_ca_topic_score_gemma":0.0000028787028,"teacher_disagreement_score":0.13604745,"about_ca_system_score_codex":0.0005660753,"about_ca_system_score_gemma":0.000071555776,"threshold_uncertainty_score":0.90225106},"labels":[],"label_agreement":null},{"id":"W4409603771","doi":"10.61091/jcmcc127b-188","title":"Research on Copyright Protection and Data Security Based on Blockchain Technology in Digital Library","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Digital library; Computer security; Computer science; Internet privacy; World Wide Web; Business; Art","score_opus":0.03804902443886252,"score_gpt":0.35846902292321386,"score_spread":0.3204199984843513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98987067,0.00022612447,0.00022990111,0.0042091734,0.0017054651,0.0007314829,0.000009616518,0.00003089226,0.002986691],"genre_scores_gemma":[0.9992369,0.000028656643,0.0003272302,0.000044989778,0.00031863197,0.000004353792,0.0000057834504,0.000016650018,0.000016799324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99771476,0.00011909381,0.0006270383,0.0002984911,0.00090052554,0.00034007724],"domain_scores_gemma":[0.9976751,0.0012356958,0.00020640276,0.00040546633,0.00024803553,0.00022927354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019507757,0.0001782358,0.0005660253,0.0010774232,0.0001819841,0.00016972203,0.00031675244,0.00022540626,0.0000074172463],"category_scores_gemma":[0.002718467,0.00013460591,0.000045604014,0.0009077751,0.00019524827,0.00010979834,0.00039359104,0.0013428146,0.000002341788],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033847606,0.0064062453,0.0039547766,0.001083495,0.00021224443,0.00065159233,0.00017342038,0.000009805701,0.00010080943,0.9655303,0.0016797826,0.01681281],"study_design_scores_gemma":[0.012889415,0.004711021,0.0002712606,0.0033301036,0.00004052855,0.0000495358,0.00022970485,0.042823568,0.00090221025,0.93355125,0.0010700847,0.00013132885],"about_ca_topic_score_codex":0.0000042110755,"about_ca_topic_score_gemma":1.7433769e-7,"teacher_disagreement_score":0.042813763,"about_ca_system_score_codex":0.00010166222,"about_ca_system_score_gemma":0.0004422372,"threshold_uncertainty_score":0.58339363},"labels":[],"label_agreement":null},{"id":"W4409603772","doi":"10.61091/jcmcc127b-206","title":"Analysis and optimization of pitch change patterns in double bass performance based on weighted clustering algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Algorithm; Artificial intelligence","score_opus":0.014988037134668113,"score_gpt":0.25090814556637675,"score_spread":0.23592010843170863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603772","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29231346,0.00006854017,0.7047866,0.0001552577,0.0023748453,0.00014085477,5.86376e-7,0.000014130849,0.00014571233],"genre_scores_gemma":[0.9459219,0.000033369015,0.053792566,0.00006143572,0.00017724247,0.0000021631424,8.227261e-7,0.0000086939,0.0000017914429],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981718,0.00006915545,0.0008783574,0.00022733961,0.00043103122,0.00022229565],"domain_scores_gemma":[0.99827564,0.00030919263,0.0008085911,0.00022241798,0.0003079766,0.00007621151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010651506,0.00020012261,0.0006813537,0.00078611344,0.00014478047,0.000201258,0.0004017275,0.00010827302,0.0000019459067],"category_scores_gemma":[0.000044755314,0.00018094521,0.00009828265,0.0012031054,0.00003643839,0.00035899063,0.00023739874,0.00027649695,7.452389e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008477629,0.004930668,0.06009734,0.00628726,0.0014522572,0.00011540459,0.013831381,0.11152185,0.00041985023,0.4459227,0.000055054657,0.35451847],"study_design_scores_gemma":[0.0037412057,0.00027735933,0.0017672961,0.000956696,0.0001011341,0.0000044535614,0.000043315937,0.98421544,0.0006556803,0.008067997,0.000011125033,0.00015827353],"about_ca_topic_score_codex":0.000020812182,"about_ca_topic_score_gemma":8.3988755e-7,"teacher_disagreement_score":0.8726936,"about_ca_system_score_codex":0.00006220084,"about_ca_system_score_gemma":0.000094427945,"threshold_uncertainty_score":0.73787314},"labels":[],"label_agreement":null},{"id":"W4409603775","doi":"10.61091/jcmcc127b-187","title":"Research on the association between acupuncture points and diseases based on the construction of knowledge graph and applied research","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Association (psychology); Acupuncture; Graph; Knowledge graph; Computer science; Data science; Medicine; Psychology; Information retrieval; Alternative medicine; Theoretical computer science; Pathology; Psychotherapist","score_opus":0.04668456828640443,"score_gpt":0.3736183569400512,"score_spread":0.32693378865364675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897553,0.00030255332,0.00010975161,0.0041882102,0.001129004,0.00076454,0.00000512523,0.000007767793,0.0037377924],"genre_scores_gemma":[0.9991966,0.000089126355,0.00015917668,0.000039548708,0.00047881794,0.0000071308787,0.0000016363525,0.000012008759,0.00001593878],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99655443,0.0007127582,0.0005591431,0.00019105754,0.0016451658,0.00033741613],"domain_scores_gemma":[0.9800686,0.018073011,0.00032346894,0.00023694824,0.00107371,0.00022423205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007970886,0.00017623993,0.00059600757,0.00044333946,0.0006179126,0.00012701684,0.00019399915,0.00016752651,0.000007110501],"category_scores_gemma":[0.0067829383,0.00008534711,0.00009282029,0.000723765,0.00045271913,0.000032613418,0.0001809671,0.0013014475,0.0000011049735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006471493,0.00071554084,0.008605882,0.00041117787,0.0003467872,0.000006371551,0.0003337867,7.076637e-7,0.00008939721,0.98428786,0.0014275236,0.0031278424],"study_design_scores_gemma":[0.00709084,0.002366483,0.014376177,0.0020489704,0.00026251923,0.0000067290366,0.0011934849,0.0008342095,0.0015707909,0.96972835,0.00042061383,0.000100843296],"about_ca_topic_score_codex":0.0000057598136,"about_ca_topic_score_gemma":2.5356522e-7,"teacher_disagreement_score":0.017360253,"about_ca_system_score_codex":0.00016424422,"about_ca_system_score_gemma":0.00037384735,"threshold_uncertainty_score":0.8120301},"labels":[],"label_agreement":null},{"id":"W4409603777","doi":"10.61091/jcmcc127b-234","title":"Research on the Construction of Enterprise Data Asset Pricing Model Based on Machine Learning in Digital Economy Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Digital economy; Asset (computer security); Computer science; Business; Knowledge management; Industrial organization; Engineering management; Engineering; World Wide Web; Computer security","score_opus":0.09635311344260804,"score_gpt":0.3666047055836632,"score_spread":0.27025159214105515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9529464,0.00009331837,0.037295587,0.0019060547,0.0033549024,0.00035708112,0.000029822375,0.000009411458,0.004007415],"genre_scores_gemma":[0.9989968,0.000022324968,0.0007574775,0.000046911995,0.00015305483,6.92242e-7,0.000004703545,0.0000086196105,0.000009448313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99674195,0.00023069352,0.0012363882,0.00027042106,0.0012760365,0.00024453533],"domain_scores_gemma":[0.99282926,0.005253544,0.00087594526,0.00056460383,0.0004050217,0.00007163593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010593975,0.00017109344,0.0005614574,0.0004515521,0.00032929413,0.00055168243,0.0010759104,0.000108430984,0.000008127434],"category_scores_gemma":[0.0031618564,0.000107713364,0.000108894994,0.00056045677,0.00017414134,0.00035924526,0.00054466125,0.0008238422,0.0000016704965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046570488,0.0014886012,0.004791987,0.00009965238,0.0000723035,0.000009720983,0.0007345553,0.021512529,0.000068271496,0.9573997,0.0011257661,0.012231189],"study_design_scores_gemma":[0.0016993717,0.0003705615,0.00015950498,0.00038170535,0.000012857993,0.0000030773135,0.00097189134,0.59158444,0.00009472773,0.40394315,0.000690366,0.000088341236],"about_ca_topic_score_codex":0.000007344578,"about_ca_topic_score_gemma":1.6896128e-7,"teacher_disagreement_score":0.57007194,"about_ca_system_score_codex":0.00010049602,"about_ca_system_score_gemma":0.00025450363,"threshold_uncertainty_score":0.5319886},"labels":[],"label_agreement":null},{"id":"W4409603779","doi":"10.61091/jcmcc127b-219","title":"Exploration of Language Translation Problems under the Background of Artificial Intelligence Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Translation (biology); Computer science; Machine translation; Artificial intelligence; Natural language processing; Linguistics; Philosophy; Chemistry","score_opus":0.062643035112971,"score_gpt":0.3557577416409663,"score_spread":0.2931147065279953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9305958,0.00086885033,0.06473987,0.00091491826,0.0019328813,0.0003983821,0.0000010383902,0.000009537936,0.00053870154],"genre_scores_gemma":[0.9975623,0.00006941136,0.0021740445,0.00000891998,0.00016922547,0.0000019453746,0.000001234696,0.0000077663635,0.000005133465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99823135,0.00006636902,0.0009356132,0.00009391515,0.00052340294,0.00014934683],"domain_scores_gemma":[0.9980599,0.0006381073,0.000572482,0.00016409809,0.0004972518,0.00006816068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010902195,0.00011419676,0.0004957548,0.00025866705,0.00008051482,0.000023800381,0.00015886237,0.00012115885,0.0000065890313],"category_scores_gemma":[0.0003186948,0.000074953474,0.00010365798,0.00052680745,0.00018767359,0.00009331085,0.000057726276,0.00031692273,4.695324e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002136593,0.0009372364,0.00007304293,0.0004932272,0.00020885421,0.000006754052,0.0009344958,0.000028150786,0.004074484,0.97433025,0.000013780035,0.018686077],"study_design_scores_gemma":[0.0018620432,0.0013205779,0.00006577365,0.0010575493,0.0001959427,0.000020166382,0.005810981,0.0038176137,0.01817468,0.967575,0.00003567891,0.00006400245],"about_ca_topic_score_codex":0.000009383813,"about_ca_topic_score_gemma":7.4880086e-7,"teacher_disagreement_score":0.0669665,"about_ca_system_score_codex":0.00003981048,"about_ca_system_score_gemma":0.00022157757,"threshold_uncertainty_score":0.3056514},"labels":[],"label_agreement":null},{"id":"W4409603780","doi":"10.61091/jcmcc127b-228","title":"Optimizing Physical Education Resource Allocation Using Principal Component Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Principal component analysis; Resource allocation; Component (thermodynamics); Computer science; Resource (disambiguation); Principal (computer security); Artificial intelligence; Computer network; Computer security","score_opus":0.020507144637695308,"score_gpt":0.3162078286253368,"score_spread":0.2957006839876415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73890156,0.000328312,0.25244993,0.00064602256,0.0065913973,0.00016378357,3.6857926e-7,0.000051375442,0.00086723006],"genre_scores_gemma":[0.94834816,0.000009555867,0.050965257,0.000061766434,0.00058939436,0.0000018928098,0.0000017709023,0.000009086194,0.000013126727],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99805605,0.00014305885,0.0008341787,0.00027051885,0.00044726933,0.00024894773],"domain_scores_gemma":[0.9973706,0.00060979254,0.000902192,0.00039326746,0.0006122282,0.000111917565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011655708,0.00021993219,0.0006327867,0.0007455984,0.00035910192,0.00023618911,0.0008145369,0.00015440729,0.0000013363948],"category_scores_gemma":[0.0002689705,0.00021248983,0.00022155394,0.0013397889,0.00008510523,0.00030588952,0.0003646715,0.00045412124,8.1415016e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016929316,0.0008438655,0.00029942268,0.00006554294,0.00033844652,0.0000021233495,0.0016794617,0.0010150035,0.000738295,0.9922864,0.000059945844,0.0026545664],"study_design_scores_gemma":[0.0014781674,0.0002376182,0.0006643929,0.00029490338,0.0006422334,0.000052719523,0.0008062077,0.26133132,0.0016489014,0.73099226,0.0015238352,0.00032745322],"about_ca_topic_score_codex":0.000012259665,"about_ca_topic_score_gemma":2.673776e-7,"teacher_disagreement_score":0.26129416,"about_ca_system_score_codex":0.00016636268,"about_ca_system_score_gemma":0.00065012893,"threshold_uncertainty_score":0.86650836},"labels":[],"label_agreement":null},{"id":"W4409603781","doi":"10.61091/jcmcc127b-211","title":"Characterization of spatial distribution of immune cells in the microenvironment of lung cancer and its computational modeling study","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Government of Jiangsu Province","keywords":"Immune system; Lung cancer; Tumor microenvironment; Distribution (mathematics); Cancer research; Medicine; Immunology; Oncology; Mathematics","score_opus":0.012790850777090601,"score_gpt":0.27292440200436824,"score_spread":0.26013355122727766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823158,0.00017306943,0.01568112,0.00006273189,0.0011071883,0.0006172924,0.000018434866,0.000003756769,0.0000206023],"genre_scores_gemma":[0.99917275,0.00003593617,0.0006844976,0.0000032456974,0.00008354427,0.000004257908,0.0000034942316,0.000011130619,0.0000011246243],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99701715,0.00022296376,0.0019807543,0.0001439165,0.0004750553,0.00016016899],"domain_scores_gemma":[0.99658257,0.0011491345,0.0017049959,0.00015856326,0.00036965864,0.00003509939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022521757,0.00019643123,0.0009255867,0.0001540356,0.00007574504,0.000021457952,0.00028771049,0.00010252964,0.0000026855128],"category_scores_gemma":[0.00042237548,0.00015029767,0.00010866502,0.00023479458,0.00008966577,0.000077402634,0.00017829146,0.00027360456,3.8502698e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028859338,0.0044036107,0.002999176,0.0031553262,0.00035799228,0.000005638826,0.0062268074,0.0004888029,0.050604858,0.9311893,0.0000066347557,0.0002732649],"study_design_scores_gemma":[0.0072488287,0.00094724755,0.004490876,0.0020824906,0.0005625998,0.000015812058,0.0013188852,0.24242982,0.01916569,0.721485,0.0000021114668,0.000250612],"about_ca_topic_score_codex":0.000020397041,"about_ca_topic_score_gemma":6.9319964e-7,"teacher_disagreement_score":0.24194102,"about_ca_system_score_codex":0.000055884702,"about_ca_system_score_gemma":0.000086859945,"threshold_uncertainty_score":0.6128961},"labels":[],"label_agreement":null},{"id":"W4409603782","doi":"10.61091/jcmcc127b-235","title":"Innovation of Virtual Simulation Teaching Strategy Based on Deep Learning Algorithm in Mechanical Manufacturing Experimental Teaching","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Algorithm; Manufacturing engineering; Industrial engineering; Engineering drawing; Engineering","score_opus":0.019826896168980854,"score_gpt":0.339414645609056,"score_spread":0.3195877494400751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.958405,0.000028716693,0.031406865,0.0001735758,0.0044251764,0.00020451656,3.8646644e-7,0.000022191012,0.005333548],"genre_scores_gemma":[0.99631107,0.0000017996335,0.0030272661,0.00003936769,0.00059719424,0.0000012790018,0.0000015357666,0.000009351102,0.000011126558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974389,0.00056611927,0.001026868,0.00015510754,0.0005451608,0.00026786214],"domain_scores_gemma":[0.996879,0.0020899856,0.0006552955,0.00008185336,0.00021795176,0.00007593028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00377997,0.00015999247,0.0004489153,0.00039505778,0.000468591,0.00011801103,0.00020770708,0.00019306413,0.0000097826305],"category_scores_gemma":[0.0022186534,0.00014853152,0.00008415416,0.00025217378,0.00008832426,0.000184335,0.000065438355,0.0009211843,4.0225407e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006350567,0.0007005015,0.000095769865,0.0000349859,0.000014582316,0.000002621498,0.0023041426,0.0068070493,0.0002455201,0.9668809,0.000003926294,0.02284645],"study_design_scores_gemma":[0.004014453,0.001652488,0.00045337877,0.0008854816,0.000044948487,0.0000017888048,0.009181188,0.3486737,0.0038299204,0.6304156,0.0005398051,0.0003072357],"about_ca_topic_score_codex":0.00009270646,"about_ca_topic_score_gemma":9.2490836e-7,"teacher_disagreement_score":0.34186667,"about_ca_system_score_codex":0.0002186402,"about_ca_system_score_gemma":0.00017934071,"threshold_uncertainty_score":0.60569394},"labels":[],"label_agreement":null},{"id":"W4409603783","doi":"10.61091/jcmcc127b-191","title":"Research on energy optimal control of automation system based on variational approach","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automation; Energy (signal processing); Control (management); Computer science; Control engineering; Engineering; Mathematics; Artificial intelligence; Mechanical engineering","score_opus":0.015620453640879977,"score_gpt":0.25459357329468657,"score_spread":0.2389731196538066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603783","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20033185,0.00039365934,0.7247583,0.00024532407,0.035067804,0.0009870064,0.0000145913245,0.0003608384,0.0378406],"genre_scores_gemma":[0.99802405,0.0000024484636,0.0011336582,0.0000093436665,0.0007936972,0.000007980889,0.0000015156942,0.000022229347,0.000005051252],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974171,0.0002663703,0.0011113804,0.00015674216,0.00076588464,0.00028251618],"domain_scores_gemma":[0.9970758,0.0015193024,0.00046535773,0.00024216183,0.00062607444,0.00007130142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003100485,0.00021948243,0.0007497048,0.0007181967,0.00021358082,0.00008009992,0.0003575533,0.00038919554,0.0000014631264],"category_scores_gemma":[0.0002908996,0.00019766403,0.00014193734,0.0005557074,0.000075811426,0.00005833707,0.000038996866,0.0007057694,7.89214e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023045094,0.00031886733,0.00001442475,0.0003175604,0.00016024859,0.000004578211,0.00006433487,0.060940936,0.00025011358,0.9365528,0.00019508324,0.0009505562],"study_design_scores_gemma":[0.0074604712,0.00085526454,0.000034307188,0.0010425113,0.000072825176,0.000011195898,0.00032848868,0.9418247,0.0011818738,0.04676086,0.00026649973,0.00016103385],"about_ca_topic_score_codex":0.000006344678,"about_ca_topic_score_gemma":5.454878e-8,"teacher_disagreement_score":0.88979197,"about_ca_system_score_codex":0.00023893599,"about_ca_system_score_gemma":0.00016998303,"threshold_uncertainty_score":0.80605054},"labels":[],"label_agreement":null},{"id":"W4409603784","doi":"10.61091/jcmcc127b-209","title":"Numerical simulation of heat transfer characteristics of high temperature devices based on nonlinear partial differential equations","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Nonlinear system; Partial differential equation; Heat transfer; Mechanics; Materials science; Computer science; Physics; Mathematics; Mathematical analysis","score_opus":0.008534349760549844,"score_gpt":0.23725027231915924,"score_spread":0.2287159225586094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6673942,0.000033929133,0.327093,0.000029919129,0.005153422,0.00017114253,0.0000119299575,0.000023917088,0.00008849893],"genre_scores_gemma":[0.9984959,0.000008888924,0.00096069666,0.000009136796,0.0004917462,0.0000010287597,0.000009764679,0.000022451075,4.0768322e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814445,0.000068424044,0.0011221234,0.00010636764,0.00039781487,0.00016083794],"domain_scores_gemma":[0.9985167,0.0007720535,0.00008953331,0.0001380467,0.0004089509,0.00007472376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003156236,0.00020623374,0.0006985406,0.00021699886,0.00008514392,0.000051477688,0.00015368803,0.00017835812,0.000007635094],"category_scores_gemma":[0.00015698733,0.0001873001,0.00014782092,0.00031134184,0.000040713297,0.00009203624,0.000013273667,0.00031144265,1.8123238e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004090789,0.0012709226,0.00028361467,0.0016274402,0.00025526364,0.000004231341,0.0006765689,0.8194075,0.005718704,0.16899231,0.000015812428,0.0013385382],"study_design_scores_gemma":[0.0031566801,0.00045645362,0.00038445933,0.0006730863,0.00017072185,9.98829e-7,0.00002741026,0.9755342,0.014422733,0.0049953097,0.000021154223,0.00015679045],"about_ca_topic_score_codex":0.0000033231,"about_ca_topic_score_gemma":1.1061358e-7,"teacher_disagreement_score":0.33110163,"about_ca_system_score_codex":0.00004025019,"about_ca_system_score_gemma":0.000087700326,"threshold_uncertainty_score":0.7637876},"labels":[],"label_agreement":null},{"id":"W4409603785","doi":"10.61091/jcmcc127b-189","title":"An optimal scheduling method for industrial internet resources based on distributed computing and cloud computing platforms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Distributed computing; Industrial Internet; Scheduling (production processes); Utility computing; The Internet; Internet of Things; Cloud computing security; World Wide Web; Operating system; Mathematical optimization; Mathematics","score_opus":0.023050443210736786,"score_gpt":0.29728735068176204,"score_spread":0.27423690747102525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603785","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31834245,0.000115675415,0.6675356,0.00015397863,0.013201464,0.00042468388,0.00000848623,0.000113677124,0.00010397516],"genre_scores_gemma":[0.8453914,0.0000022161605,0.15201561,0.00009321353,0.0024474545,0.0000018574904,0.000011686181,0.00003375183,0.0000028033971],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953459,0.00032044045,0.002076162,0.00071073096,0.0008049593,0.0007418274],"domain_scores_gemma":[0.99257135,0.0038198007,0.0018860368,0.0005610032,0.00078562135,0.0003762007],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005870308,0.00061618094,0.0014432267,0.0005352357,0.0007515455,0.0013850757,0.0015567127,0.0004227258,0.0000010826259],"category_scores_gemma":[0.0010286121,0.0005564189,0.00030031457,0.00079481694,0.00013872146,0.00039724374,0.00060977216,0.0010147237,5.888487e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065151876,0.0011393337,0.00050478993,0.00057854503,0.00035103256,0.000036098587,0.003655984,0.06049546,0.0001776246,0.91292626,0.00069798506,0.018785391],"study_design_scores_gemma":[0.007951653,0.001788164,0.00007810696,0.0016836827,0.00010465723,0.0000679188,0.0004954814,0.9298515,0.00039075236,0.05572569,0.0013463598,0.0005160898],"about_ca_topic_score_codex":0.000015938913,"about_ca_topic_score_gemma":2.452561e-7,"teacher_disagreement_score":0.869356,"about_ca_system_score_codex":0.000169114,"about_ca_system_score_gemma":0.00032508787,"threshold_uncertainty_score":0.99968874},"labels":[],"label_agreement":null},{"id":"W4409603786","doi":"10.61091/jcmcc127b-222","title":"Geometric Algebra-Based Modeling Techniques for 3D Animation and Their Application to Visual Communication","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Animation; Computer science; Algebra over a field; Visual communication; Computer graphics (images); Computer animation; Mathematics; Multimedia; Pure mathematics","score_opus":0.0135139646739896,"score_gpt":0.2821787022290755,"score_spread":0.2686647375550859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603786","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17519298,0.0002589291,0.822965,0.00012930659,0.00067427795,0.0005145204,0.0000018464623,0.000099046054,0.00016408316],"genre_scores_gemma":[0.93607455,0.000029418252,0.06362238,0.000039993636,0.0001745088,0.000028165776,0.0000056114122,0.00002431581,0.000001061449],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988162,0.000027553577,0.0007154071,0.00012977289,0.00016029147,0.00015077637],"domain_scores_gemma":[0.9984169,0.00057808246,0.00021974577,0.00018549491,0.00051494077,0.000084854866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093704293,0.00017582235,0.00035963804,0.00046327533,0.00023125575,0.00013643732,0.00018419759,0.000121686535,4.757619e-7],"category_scores_gemma":[0.0002106419,0.00017016544,0.000065500506,0.00047055457,0.000020139058,0.00010947528,0.000059768234,0.00018293684,3.0747898e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012036427,0.0005059849,0.00007262333,0.000873662,0.00016998834,1.9219772e-7,0.0013006396,0.14871952,0.0063202055,0.72134256,0.00031892094,0.12025536],"study_design_scores_gemma":[0.0009804171,0.00011025786,0.000009643205,0.00017764217,0.000039086757,0.000001779951,0.00011460761,0.8561859,0.0021150473,0.13950485,0.00062938884,0.00013138208],"about_ca_topic_score_codex":0.0000034659554,"about_ca_topic_score_gemma":3.002064e-7,"teacher_disagreement_score":0.76088154,"about_ca_system_score_codex":0.00008814288,"about_ca_system_score_gemma":0.000047842834,"threshold_uncertainty_score":0.69391453},"labels":[],"label_agreement":null},{"id":"W4409603787","doi":"10.61091/jcmcc127b-226","title":"Empirical Study on Key Influencing Factors of Energy Efficiency of Scientific and Technological Achievement Transformation in Higher Vocational Colleges and Universities Based on Big Data Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Key (lock); Transformation (genetics); Mathematics education; Empirical research; Big data; Energy (signal processing); Psychology; Computer science; Mathematics; Statistics; Pedagogy; Data mining; Chemistry","score_opus":0.03516570663004072,"score_gpt":0.28546488916572343,"score_spread":0.25029918253568273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974293,0.000014260961,0.00094617915,0.00023572636,0.00073924003,0.00011580671,0.0000056669096,0.0000033256592,0.0005104885],"genre_scores_gemma":[0.9996921,0.0000032687974,0.00026064197,0.000011210909,0.00002062029,6.27324e-7,0.000004138392,0.0000028563134,0.0000045405645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985415,0.000059107675,0.0006353803,0.00016683292,0.0004980963,0.00009908005],"domain_scores_gemma":[0.9987959,0.00049329194,0.00040738657,0.00016798878,0.00009868999,0.000036729834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011893195,0.00011180811,0.0003348125,0.00053336454,0.00016999888,0.000047160094,0.00022517843,0.000064001935,0.000005122604],"category_scores_gemma":[0.00012706604,0.00008530472,0.000034689972,0.0011819379,0.00022527248,0.0001356111,0.00015030323,0.00014284765,4.37708e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016825265,0.005151269,0.23428176,0.00011033444,0.00022244881,0.0000017688434,0.0036061036,0.0020207742,0.00086575025,0.75128627,0.00003607793,0.002249173],"study_design_scores_gemma":[0.0049353275,0.0021982426,0.8647278,0.00039635753,0.00035233152,0.0000012336732,0.011174443,0.021028504,0.0015046456,0.09312686,0.00026224676,0.00029201127],"about_ca_topic_score_codex":0.000029776671,"about_ca_topic_score_gemma":0.0000038537846,"teacher_disagreement_score":0.65815943,"about_ca_system_score_codex":0.00011479785,"about_ca_system_score_gemma":0.000103472405,"threshold_uncertainty_score":0.34786254},"labels":[],"label_agreement":null},{"id":"W4409603789","doi":"10.61091/jcmcc127b-213","title":"Applying Principal Component Analysis to Optimize Visual Effects and Information Communication in Visualization Designs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Principal component analysis; Visualization; Computer science; Component (thermodynamics); Information visualization; Human–computer interaction; Visual communication; Visual analytics; Artificial intelligence; Multimedia","score_opus":0.013512695836505767,"score_gpt":0.30289127395101295,"score_spread":0.2893785781145072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603789","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14031045,0.00011167123,0.8571903,0.00014902689,0.0014605324,0.00050235103,7.612244e-7,0.000036630794,0.00023827849],"genre_scores_gemma":[0.97063625,0.000067918896,0.029036993,0.00017274558,0.00006038309,0.000008857449,0.0000070791784,0.000007604137,0.0000021407882],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99768656,0.00022580051,0.0011879099,0.00018409258,0.00048958446,0.00022606656],"domain_scores_gemma":[0.9976117,0.0007415769,0.00073425955,0.00028694255,0.000474428,0.00015111615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019221359,0.0002115863,0.00064425066,0.001232333,0.00023194276,0.0006674348,0.0005620005,0.00011198942,8.048623e-7],"category_scores_gemma":[0.0006113995,0.00020783578,0.00009203255,0.0020476375,0.000038618175,0.0011080817,0.0006026829,0.00023695754,9.960976e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029157474,0.00029475876,0.00089623395,0.00018507951,0.00017309331,0.0000028638292,0.0013874997,0.0016775301,0.000098502576,0.99191034,0.000044657816,0.0033002638],"study_design_scores_gemma":[0.0042924974,0.00037781094,0.002496784,0.0005893306,0.00030013255,0.000010827477,0.0003324672,0.87852216,0.00051465584,0.11130493,0.0009062545,0.00035215003],"about_ca_topic_score_codex":0.000012290714,"about_ca_topic_score_gemma":9.4795683e-7,"teacher_disagreement_score":0.8806054,"about_ca_system_score_codex":0.00011496105,"about_ca_system_score_gemma":0.00011063136,"threshold_uncertainty_score":0.8475297},"labels":[],"label_agreement":null},{"id":"W4409603790","doi":"10.61091/jcmcc127b-244","title":"Image Style Conversion Optimization Method in Animation Design Based on Deep Convolutional Neural Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Animation; Artificial intelligence; Style (visual arts); Image (mathematics); Computer vision; Pattern recognition (psychology); Computer graphics (images); Art","score_opus":0.014999260763483915,"score_gpt":0.27860711936232024,"score_spread":0.26360785859883634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00835968,0.00006613658,0.98244375,0.0002795421,0.008036592,0.00027171243,3.41644e-7,0.000036933965,0.0005053324],"genre_scores_gemma":[0.7750441,0.000006951959,0.22465263,0.00007955681,0.00020020289,0.0000021594317,0.0000014886803,0.000010720185,0.0000021775022],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977652,0.00027419155,0.0008884156,0.0002493581,0.0005383184,0.00028455356],"domain_scores_gemma":[0.997025,0.0015782692,0.00062379934,0.00020661781,0.0004446205,0.00012167423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019426295,0.00023288901,0.0005054678,0.00034297362,0.00017393887,0.00038369984,0.0005128159,0.00013852732,0.0000031233662],"category_scores_gemma":[0.00038526108,0.00021542836,0.00011196606,0.00066775555,0.00004900092,0.000593051,0.00018639544,0.00038258315,9.1879684e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022029624,0.00094328634,0.00011101196,0.00015678776,0.000043024836,0.00003569466,0.00030766003,0.22954476,0.00008054928,0.7625118,0.00015054327,0.0058946],"study_design_scores_gemma":[0.0036574665,0.000675221,0.0000829255,0.00039993756,0.00002247897,0.000011739485,0.000052020838,0.9190109,0.0001824792,0.07571365,0.000022348602,0.000168859],"about_ca_topic_score_codex":0.0000025241102,"about_ca_topic_score_gemma":5.7222834e-8,"teacher_disagreement_score":0.7666844,"about_ca_system_score_codex":0.00014449454,"about_ca_system_score_gemma":0.00014582442,"threshold_uncertainty_score":0.87849134},"labels":[],"label_agreement":null},{"id":"W4409603792","doi":"10.61091/jcmcc127b-218","title":"A Study on the Philosophical Connotation and English Translation Strategies of the Word “Body” in The Analects of Confucius Based on Computer Semantic Modeling from the Perspective of Embodied-Cognitive Translatology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Embodied cognition; Connotation; Perspective (graphical); Linguistics; Cognition; Word (group theory); Translation (biology); Psychology; Epistemology; Cognitive science; Computer science; Philosophy; Artificial intelligence","score_opus":0.025885744494413623,"score_gpt":0.2847190188190465,"score_spread":0.2588332743246329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99307394,0.000029068427,0.0027359226,0.0019985605,0.00072413264,0.0004310976,0.0000020070202,0.0000018548856,0.0010034218],"genre_scores_gemma":[0.99971294,0.0000025268125,0.00011724486,0.000063671454,0.00009648952,0.000002591746,3.3149078e-7,0.000004120846,1.0098715e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985272,0.00026007264,0.00060797256,0.00010925743,0.0004074141,0.000088038076],"domain_scores_gemma":[0.9968685,0.0023144842,0.0004507285,0.00012891757,0.00022338152,0.000013979825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012103567,0.00010869503,0.00027047977,0.00006280307,0.00016894474,0.000039425533,0.00023944507,0.000047666977,0.0000029653968],"category_scores_gemma":[0.00027948266,0.000053579075,0.000066640285,0.000401855,0.00022165768,0.00008497191,0.00003108543,0.00029958689,5.0363276e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014863379,0.0008988948,0.0044949516,0.00002135154,0.00005637211,5.08494e-7,0.019657241,0.0032905333,0.00014624823,0.97103935,0.0000023393268,0.00024356588],"study_design_scores_gemma":[0.0025142631,0.0006690683,0.03175336,0.0004398857,0.00009706924,0.0000016172925,0.026986329,0.06656979,0.00020308906,0.8706998,9.320382e-7,0.000064750646],"about_ca_topic_score_codex":0.00007403987,"about_ca_topic_score_gemma":0.000008654173,"teacher_disagreement_score":0.10033951,"about_ca_system_score_codex":0.000029337114,"about_ca_system_score_gemma":0.00007662453,"threshold_uncertainty_score":0.21848913},"labels":[],"label_agreement":null},{"id":"W4409603793","doi":"10.61091/jcmcc127b-236","title":"Research on the Value and Language Features of Chinese Language and Literature Texts Based on Text Mining Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Computer science; Linguistics; Natural language processing; Artificial intelligence; Philosophy","score_opus":0.014208151100924507,"score_gpt":0.34019842767564357,"score_spread":0.3259902765747191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98903817,0.0019008368,0.0007318244,0.004490714,0.0023814905,0.00018385272,0.0000014460153,0.000028523073,0.0012431543],"genre_scores_gemma":[0.9957948,0.000031502514,0.0038110225,0.00009911449,0.0002289311,0.0000025696881,4.1059346e-7,0.000009038443,0.000022619744],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984352,0.00021562206,0.00045452995,0.00022957483,0.0004357099,0.00022935274],"domain_scores_gemma":[0.99530005,0.0035508845,0.00035907142,0.00037702054,0.00035325976,0.000059716825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002252763,0.00018873606,0.0004170836,0.00074345927,0.0003426076,0.0001878257,0.0006666001,0.00024945874,0.0000011924578],"category_scores_gemma":[0.0013242956,0.00012513444,0.00005548776,0.0010275415,0.0002482694,0.00009035222,0.0003485533,0.00095915666,2.93094e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047754078,0.00024204135,0.0004298047,0.00012465604,0.000038422007,0.000021742915,0.0041693416,0.000010754366,0.00058962073,0.9900505,0.00020008245,0.0040752674],"study_design_scores_gemma":[0.0022616568,0.0012170867,0.002623395,0.0015361189,0.000023529405,0.00011149056,0.0036344375,0.0062673693,0.002614027,0.9793904,0.00012795125,0.00019253562],"about_ca_topic_score_codex":0.000003968947,"about_ca_topic_score_gemma":3.2851915e-7,"teacher_disagreement_score":0.01066011,"about_ca_system_score_codex":0.000029056284,"about_ca_system_score_gemma":0.00015540072,"threshold_uncertainty_score":0.51028347},"labels":[],"label_agreement":null},{"id":"W4409603794","doi":"10.61091/jcmcc127b-210","title":"A Modeling Study of Music and Dance Rhythm Matching Using Time Series Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rhythm; Dance; Series (stratigraphy); Matching (statistics); Computer science; Art; Speech recognition; Visual arts; Mathematics; Statistics; Aesthetics; Geology","score_opus":0.017207634550266887,"score_gpt":0.26515588845577726,"score_spread":0.24794825390551037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6921731,0.00027147398,0.3053185,0.00004309834,0.0019428812,0.00013085218,2.9210855e-7,0.00002019741,0.00009956527],"genre_scores_gemma":[0.9656487,0.000010886394,0.034069948,0.000021168096,0.0002314091,6.4989547e-7,1.4829158e-7,0.000012161266,0.000004903542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99746054,0.00013232055,0.0012867504,0.00029964815,0.000554175,0.0002665408],"domain_scores_gemma":[0.99770075,0.0003121359,0.0010216229,0.00032289117,0.0005397086,0.00010287929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016365469,0.00026532097,0.0010947103,0.00055068475,0.0003943603,0.00039808074,0.0005285607,0.00009730103,0.0000013415082],"category_scores_gemma":[0.00016251492,0.00024108276,0.00014767078,0.001277392,0.00006090532,0.00062365155,0.0006275669,0.0003341332,1.3552614e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015794778,0.0021669986,0.0010231498,0.0010794224,0.0023299584,0.00008189031,0.028086305,0.033648092,0.0036346072,0.9208435,0.000030295585,0.0069178417],"study_design_scores_gemma":[0.002208756,0.00035163987,0.000056207857,0.00050798344,0.0005109171,0.00005722017,0.0011571881,0.6866196,0.00020654127,0.3080978,0.000006320249,0.00021981337],"about_ca_topic_score_codex":0.000031959848,"about_ca_topic_score_gemma":9.76341e-7,"teacher_disagreement_score":0.6529715,"about_ca_system_score_codex":0.00005101148,"about_ca_system_score_gemma":0.00016759268,"threshold_uncertainty_score":0.983107},"labels":[],"label_agreement":null},{"id":"W4409603795","doi":"10.61091/jcmcc127b-221","title":"Research on Intelligent Interaction Design for Enhancing Multi-Scenario English Learning Using ChatGPT and Deep Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Computer science; Human–computer interaction; Artificial intelligence","score_opus":0.0840193088753001,"score_gpt":0.4035305511239498,"score_spread":0.3195112422486497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5973447,0.0006557512,0.39398915,0.00013057172,0.006275568,0.0011892546,1.506884e-7,0.000034316166,0.00038052953],"genre_scores_gemma":[0.9908275,0.00023636721,0.008011219,0.000020095078,0.0008169517,0.000007702067,0.000001972806,0.000028729613,0.000049462167],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99706465,0.00032302432,0.00095708086,0.0002665425,0.0008901187,0.00049857097],"domain_scores_gemma":[0.994283,0.0033499298,0.00048750764,0.00013853764,0.0014016149,0.00033939024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004933093,0.00023988132,0.00070391956,0.00046083206,0.00065376336,0.00021118544,0.00013626806,0.00017925752,0.000006803926],"category_scores_gemma":[0.007885466,0.00019954258,0.00013597844,0.00035084417,0.00010217044,0.00012553371,0.00019437735,0.0017255272,9.570208e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.020265548,0.010674084,0.003975535,0.009629524,0.0049818056,0.0005372797,0.041735895,0.043375462,0.014402917,0.7032521,0.00043864647,0.1467312],"study_design_scores_gemma":[0.027027646,0.01515469,0.000107719934,0.011359555,0.00051012693,0.00011401949,0.011299927,0.8595402,0.016928222,0.055301715,0.0021865107,0.0004696446],"about_ca_topic_score_codex":0.000016329157,"about_ca_topic_score_gemma":6.422524e-7,"teacher_disagreement_score":0.81616473,"about_ca_system_score_codex":0.0004163138,"about_ca_system_score_gemma":0.0003455338,"threshold_uncertainty_score":0.9440209},"labels":[],"label_agreement":null},{"id":"W4409603797","doi":"10.61091/jcmcc127b-195","title":"A high-performance computing-supported model for monitoring the effect of ideological education in a big data environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ideology; Big data; Computer science; Data science; Mathematics education; Psychology; Operating system; Political science; Politics","score_opus":0.034461736203841256,"score_gpt":0.3292806197312484,"score_spread":0.29481888352740715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98246723,0.00018002283,0.005665995,0.000583515,0.010301013,0.0005082419,0.00000187242,0.000009598194,0.00028248673],"genre_scores_gemma":[0.9963211,0.000049259692,0.0022374794,0.000021037802,0.0013345096,0.0000045943934,0.000002414256,0.0000070540736,0.000022563821],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979802,0.00025960364,0.000902073,0.00017872095,0.00038708397,0.0002923171],"domain_scores_gemma":[0.99645936,0.0024033387,0.000614041,0.00024221263,0.00019460628,0.000086433094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041288435,0.0001563672,0.0005341381,0.00012295044,0.00034572417,0.000072830204,0.0006390988,0.00015776845,0.0000017847573],"category_scores_gemma":[0.001757147,0.00010718746,0.00007593644,0.00024058572,0.00023767482,0.00011812546,0.00024539666,0.00032413218,3.4533338e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026072134,0.0007701726,0.011672663,0.00041136466,0.000067670444,8.3067476e-7,0.0026611465,0.0012327648,0.00013795527,0.9445057,0.00019522815,0.03808379],"study_design_scores_gemma":[0.0055123656,0.0015135831,0.0062123206,0.0011477642,0.00028687197,0.000005611649,0.0014591835,0.118322834,0.0014323709,0.8628456,0.0009167456,0.00034476278],"about_ca_topic_score_codex":0.00010599975,"about_ca_topic_score_gemma":0.0000015174535,"teacher_disagreement_score":0.117090076,"about_ca_system_score_codex":0.00011996342,"about_ca_system_score_gemma":0.0005544616,"threshold_uncertainty_score":0.43709776},"labels":[],"label_agreement":null},{"id":"W4409603798","doi":"10.61091/jcmcc127b-199","title":"Optimization Algorithm Based Design of Tap Dance Movement Training Path in Dance Professional Construction","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dance; Movement (music); Path (computing); Computer science; Training (meteorology); Artificial intelligence; Algorithm; Computer vision; Visual arts; Computer network; Aesthetics; Geography; Art","score_opus":0.024720210612302455,"score_gpt":0.31155544383993716,"score_spread":0.2868352332276347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603798","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23864451,0.00027465573,0.72486836,0.001254364,0.031175733,0.0009649764,0.0000033048448,0.000033358843,0.002780746],"genre_scores_gemma":[0.8953182,0.000028221679,0.10405856,0.000066476234,0.00050268683,0.0000054014895,0.0000010508016,0.000006604138,0.00001280955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978743,0.00035704699,0.00090184435,0.00013354285,0.00048205876,0.00025118797],"domain_scores_gemma":[0.99748254,0.0011193715,0.0007187241,0.00008231144,0.0005035136,0.00009354036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024914497,0.000130753,0.00044701656,0.00017424948,0.0002578318,0.000060708197,0.00020571437,0.00015374133,0.000012830808],"category_scores_gemma":[0.0012645592,0.00011744082,0.000068929214,0.00044592604,0.00022448182,0.00015099168,0.000046772395,0.00029019135,1.6604703e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054020886,0.00056128233,0.00040014015,0.00009214676,0.000018506897,0.0000029230648,0.0030251932,0.0033877487,0.00007645225,0.98571503,0.000043698554,0.0066228397],"study_design_scores_gemma":[0.0028854238,0.00030833646,0.00035444557,0.0010077633,0.00004768962,0.0000022128731,0.0042068097,0.12225394,0.00033972567,0.86820495,0.00021084961,0.00017784933],"about_ca_topic_score_codex":0.000042511947,"about_ca_topic_score_gemma":5.7895977e-7,"teacher_disagreement_score":0.65667367,"about_ca_system_score_codex":0.00014636487,"about_ca_system_score_gemma":0.0007721674,"threshold_uncertainty_score":0.47890976},"labels":[],"label_agreement":null},{"id":"W4409603799","doi":"10.61091/jcmcc127b-227","title":"Research on Computational Methods for Optimizing the Teaching Content of Translation Based on Semantic Association Network Models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Association (psychology); Translation (biology); Semantic network; Content (measure theory); Natural language processing; Artificial intelligence; Semantic similarity; Information retrieval; Psychology; Chemistry; Mathematics","score_opus":0.11975371773027614,"score_gpt":0.4242929894714993,"score_spread":0.30453927174122314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603799","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02289345,0.00018852176,0.96460724,0.0038170046,0.007107571,0.00043035377,9.358854e-7,0.000024697993,0.00093022647],"genre_scores_gemma":[0.7411264,0.000005982616,0.2584171,0.00009572151,0.0003310095,0.000006322496,0.0000010472654,0.000008575991,0.000007842872],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971891,0.0007517565,0.0009182517,0.00020885679,0.0006443631,0.00028768732],"domain_scores_gemma":[0.9809326,0.016766623,0.0009067781,0.0002524162,0.001093059,0.00004855612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012805321,0.00016221259,0.00047411703,0.00036502423,0.0006753517,0.00015628891,0.0007062756,0.00019028109,5.54926e-7],"category_scores_gemma":[0.0011010116,0.00012701504,0.00016837083,0.00047426618,0.00006793967,0.00016115294,0.00009959173,0.0008346045,2.2519116e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007925589,0.0003340531,0.000029229428,0.00007626688,0.00007959712,3.2869718e-7,0.00053092773,0.10305365,0.000060973325,0.888789,0.00025591618,0.006710813],"study_design_scores_gemma":[0.0011461017,0.00039796002,0.00004865358,0.0003010233,0.000024437042,0.0000016563217,0.00012956143,0.465239,0.00016575327,0.5323669,0.00012067447,0.000058343896],"about_ca_topic_score_codex":0.000004697635,"about_ca_topic_score_gemma":1.2819253e-7,"teacher_disagreement_score":0.7182329,"about_ca_system_score_codex":0.00016528084,"about_ca_system_score_gemma":0.00034814145,"threshold_uncertainty_score":0.5194328},"labels":[],"label_agreement":null},{"id":"W4409603800","doi":"10.61091/jcmcc127b-230","title":"Value Assessment and Linguistic Feature Mining Based on Regression Analysis in Ancient Literary Texts","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Feature (linguistics); Linguistics; Regression; Natural language processing; Regression analysis; Artificial intelligence; History; Computer science; Statistics; Mathematics; Philosophy","score_opus":0.008985441968079889,"score_gpt":0.3100319215638725,"score_spread":0.3010464795957926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603800","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40419003,0.00097507646,0.586736,0.0006301221,0.0055469447,0.0003580719,0.0000011741043,0.000098688564,0.0014638603],"genre_scores_gemma":[0.8590773,0.000020434854,0.14060572,0.00010301286,0.00017346,0.000002121704,9.792144e-7,0.000011074917,0.0000059002355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973421,0.00022393023,0.0010015375,0.00040694518,0.00070922275,0.00031622502],"domain_scores_gemma":[0.99670154,0.0013315076,0.00095100945,0.0004644238,0.00040723346,0.00014429321],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021271093,0.00031988666,0.0009975176,0.0013893169,0.0002360027,0.00041428502,0.0006442923,0.00017041802,8.4267657e-7],"category_scores_gemma":[0.00058859016,0.00026582077,0.00021994322,0.0020030665,0.000059835562,0.00023142759,0.00039622287,0.00061441236,1.1983663e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055510514,0.00077812566,0.005731848,0.00017671227,0.00023506755,0.00010330511,0.0011594242,0.0011186827,0.00021969165,0.98014253,0.00013517347,0.010143938],"study_design_scores_gemma":[0.0021485973,0.00043451771,0.003495741,0.0012337954,0.00022944134,0.000008793307,0.000046921643,0.5463496,0.00029101098,0.4453213,0.0001877042,0.00025257963],"about_ca_topic_score_codex":0.00000311341,"about_ca_topic_score_gemma":4.9612333e-7,"teacher_disagreement_score":0.5452309,"about_ca_system_score_codex":0.0002170268,"about_ca_system_score_gemma":0.00023033506,"threshold_uncertainty_score":0.9999794},"labels":[],"label_agreement":null},{"id":"W4409603801","doi":"10.61091/jcmcc127b-197","title":"Research on the Integration and Efficiency Enhancement of Research Resources in the Private University’s International Business Discipline from a Distributed Computing Perspective: A Case Study of Xiamen Institute of Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Engineering management; Management; Engineering; Business; Engineering ethics; Sociology; Knowledge management; Computer science; Economics","score_opus":0.052488330546370705,"score_gpt":0.38822974354571776,"score_spread":0.33574141299934707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837267,0.000100377125,0.0115299495,0.0027363799,0.0013997235,0.00036252776,0.0000021546684,0.0000061613277,0.00013602061],"genre_scores_gemma":[0.9988275,0.000019970732,0.0010645787,0.0000028697518,0.000078419456,0.000001278212,5.1021124e-7,0.0000030784418,0.0000017832187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978133,0.00042385134,0.0006948154,0.00020573646,0.0006947635,0.00016752828],"domain_scores_gemma":[0.9945013,0.0027576734,0.0006002855,0.00032458996,0.0017944075,0.000021721693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004975317,0.00011022921,0.00035861018,0.0009431066,0.00033809355,0.00006216548,0.0011983535,0.00010427861,6.774576e-7],"category_scores_gemma":[0.0012194715,0.000075101096,0.000034082605,0.0023747568,0.00052498665,0.00011644644,0.0007993408,0.0007578307,6.00958e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008840693,0.001794739,0.0010327775,0.000041593066,0.00007172087,0.000039763167,0.016292704,0.000079232486,0.00046837016,0.9792961,0.00001292083,0.0007817011],"study_design_scores_gemma":[0.0035740095,0.0017651042,0.0033354703,0.0013269165,0.000037404076,0.000082417384,0.16474323,0.010966624,0.0020043598,0.81195205,0.00009163566,0.000120775556],"about_ca_topic_score_codex":0.0002969105,"about_ca_topic_score_gemma":0.000015587977,"teacher_disagreement_score":0.16734402,"about_ca_system_score_codex":0.00011587238,"about_ca_system_score_gemma":0.00021947852,"threshold_uncertainty_score":0.32924393},"labels":[],"label_agreement":null},{"id":"W4409603802","doi":"10.61091/jcmcc127b-246","title":"Automatic classification and storage method of electronic medical records based on improved genetic algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Genetic algorithm; Medical record; Data mining; Algorithm; Artificial intelligence; Machine learning; Medicine","score_opus":0.04035452829009979,"score_gpt":0.4124235677798684,"score_spread":0.3720690394897686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75479656,0.00044724645,0.22274981,0.0012613117,0.018710222,0.0012157805,0.0000047271888,0.000065109736,0.0007492007],"genre_scores_gemma":[0.96795267,0.000056816065,0.031029012,0.00015379713,0.0007543466,0.000010915698,0.0000012291762,0.00003145748,0.000009784019],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952316,0.00092854875,0.0023161212,0.00026819226,0.00078348827,0.00047200752],"domain_scores_gemma":[0.9913966,0.0052294484,0.0018518799,0.0003209642,0.00095818134,0.00024290293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052583725,0.00026758958,0.00096127193,0.00037907946,0.0005132087,0.00003493956,0.0003805988,0.00045394845,0.000036141315],"category_scores_gemma":[0.0030849015,0.00023421168,0.00012699164,0.00045413338,0.00012107873,0.00008020954,0.00016131665,0.0014184924,0.0000017419445],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028207045,0.0009994605,0.0031194955,0.0028962372,0.00018635522,0.000014054387,0.0023200177,0.00006857186,0.00056153815,0.8197389,0.0003100406,0.16950324],"study_design_scores_gemma":[0.0017085918,0.00091565074,0.00076505565,0.0016892494,0.00008953535,0.000008869115,0.0010605261,0.7153067,0.00018860796,0.27793226,0.00018624522,0.00014872145],"about_ca_topic_score_codex":0.00008821199,"about_ca_topic_score_gemma":0.0000052164087,"teacher_disagreement_score":0.7152381,"about_ca_system_score_codex":0.00030026748,"about_ca_system_score_gemma":0.0016417801,"threshold_uncertainty_score":0.95508754},"labels":[],"label_agreement":null},{"id":"W4409603805","doi":"10.61091/jcmcc127b-183","title":"Study on the Contribution of Shale Gas Exploitation and Utilization to Carbon Emission Reduction Based on LEAP Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reduction (mathematics); Oil shale; Shale gas; Petroleum engineering; Carbon fibers; Environmental science; Waste management; Geology; Materials science; Engineering; Mathematics; Composite material","score_opus":0.036460163911609896,"score_gpt":0.2688385181125356,"score_spread":0.23237835420092573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898609,0.00006573939,0.0070544234,0.00046886152,0.002019893,0.0002581889,8.2460184e-7,0.000010270787,0.00026091628],"genre_scores_gemma":[0.99956363,0.000010386403,0.000206357,0.000024890212,0.00018661763,5.9979675e-7,0.000002341048,0.0000031064487,0.0000020558223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998467,0.00018530965,0.0006165205,0.00016329494,0.00043285225,0.0001349928],"domain_scores_gemma":[0.9985161,0.00051643775,0.0003789214,0.00012601155,0.00038771462,0.0000748285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015928344,0.00013980901,0.0003630559,0.00021682766,0.00024131955,0.00007795771,0.00013156152,0.00007564009,0.0000035550618],"category_scores_gemma":[0.00083267136,0.0000929818,0.000064520274,0.0003583909,0.000024407716,0.000052292526,0.000021605832,0.00021555017,3.1996348e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028461935,0.003606601,0.04921488,0.00031471124,0.00041524754,0.000018340595,0.008539766,0.68200916,0.0013955003,0.22319591,0.0001489305,0.028294735],"study_design_scores_gemma":[0.001385882,0.0016029509,0.00082135125,0.00039475795,0.00009431783,0.0000023067091,0.0016480554,0.87476224,0.00038116286,0.118808694,0.000004916744,0.000093346905],"about_ca_topic_score_codex":0.00005092169,"about_ca_topic_score_gemma":0.0000016878236,"teacher_disagreement_score":0.19275306,"about_ca_system_score_codex":0.000014343607,"about_ca_system_score_gemma":0.000046568515,"threshold_uncertainty_score":0.37916878},"labels":[],"label_agreement":null},{"id":"W4409603806","doi":"10.61091/jcmcc127b-241","title":"Collaborative operation and supply/demand management of virtual power plant system integrating complex network theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Virtual power plant; Network theory; Supply and demand; Power (physics); Supply network; Computer science; Business; Economics; Microeconomics; Distributed generation","score_opus":0.005886452174220512,"score_gpt":0.22723204945726105,"score_spread":0.22134559728304054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86111236,0.0035576327,0.045249477,0.000117928925,0.0419532,0.0009558633,0.000019298252,0.000100527075,0.046933718],"genre_scores_gemma":[0.99624586,0.00008091227,0.0030324669,0.000012966101,0.0005494236,0.000003531136,0.000004279793,0.000025805826,0.000044741235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971254,0.00035114933,0.0015145304,0.0002332975,0.00046716197,0.0003084462],"domain_scores_gemma":[0.99738234,0.00068941904,0.0011594039,0.00021700094,0.00042936613,0.00012249126],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022828977,0.0003214048,0.0010413714,0.00019348648,0.00035654157,0.00019640637,0.00028461378,0.00018162088,0.000008014963],"category_scores_gemma":[0.00007876131,0.00025508026,0.00011839156,0.00036450525,0.000116047246,0.00015127318,0.00027692463,0.0002713545,4.6762682e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022194914,0.00019844135,0.00006672162,0.0005282156,0.00053627195,0.000027729568,0.0011905925,0.0016940841,0.00042525513,0.99385744,0.0003577173,0.0008955771],"study_design_scores_gemma":[0.022475708,0.0037275099,0.0006524657,0.016273499,0.0010907418,0.00032776492,0.04276229,0.056748733,0.0029498253,0.8396849,0.011945621,0.001360942],"about_ca_topic_score_codex":0.000039982693,"about_ca_topic_score_gemma":0.0000034733225,"teacher_disagreement_score":0.15417254,"about_ca_system_score_codex":0.000108283726,"about_ca_system_score_gemma":0.000114125,"threshold_uncertainty_score":0.99999017},"labels":[],"label_agreement":null},{"id":"W4409603807","doi":"10.61091/jcmcc127b-248","title":"Research on Artistic Pattern Generation for Clothing Design Based on Style Transfer","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Clothing; Style (visual arts); Aesthetics; Visual arts; Architectural engineering; Art; Engineering; History; Archaeology","score_opus":0.07449420570139847,"score_gpt":0.35082935587016856,"score_spread":0.2763351501687701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603807","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08220232,0.000037611357,0.9033397,0.00051901076,0.012738046,0.00049166963,0.0000013607547,0.000036343215,0.00063392584],"genre_scores_gemma":[0.98995775,0.0000044029994,0.008977017,0.00014133578,0.0008790952,0.0000102078975,9.2921067e-7,0.000019253199,0.000010004631],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973576,0.00025035068,0.0008099073,0.0003106816,0.00087996677,0.00039147236],"domain_scores_gemma":[0.9951761,0.0034028478,0.00021613973,0.00031742672,0.00073191227,0.00015558685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003791007,0.00022923484,0.000488462,0.00039644373,0.00042955615,0.0006822891,0.00065752974,0.00013143942,0.0000012551599],"category_scores_gemma":[0.0005654263,0.00019579528,0.00014531403,0.00048237733,0.000057197285,0.00025917246,0.00010254665,0.0004897209,0.0000030244998],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009339465,0.00088867993,0.000007782916,0.00018087977,0.00004694336,0.000015032185,0.00042980612,0.0011507374,0.0005323017,0.9771481,0.00075693603,0.0187494],"study_design_scores_gemma":[0.004088925,0.0036904765,0.000017604902,0.0009907448,0.00002951464,0.000005596125,0.00008463248,0.6910152,0.0053059384,0.2941117,0.0004479713,0.00021172092],"about_ca_topic_score_codex":0.0000017897255,"about_ca_topic_score_gemma":8.9034465e-8,"teacher_disagreement_score":0.90775543,"about_ca_system_score_codex":0.00011846355,"about_ca_system_score_gemma":0.00025437967,"threshold_uncertainty_score":0.79842997},"labels":[],"label_agreement":null},{"id":"W4409603808","doi":"10.61091/jcmcc127b-175","title":"Analyzing the Revolutionary Visual Symbol System in China’s Hundred-Year Red Cartoon History Based on Computer Image Processing Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Symbol (formal); China; Computer graphics (images); Image (mathematics); Image processing; Computer science; Visual arts; Computer vision; Artificial intelligence; Art; History; Archaeology","score_opus":0.007668570053849493,"score_gpt":0.2479236027039986,"score_spread":0.2402550326501491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5898444,0.0021216865,0.35320362,0.0028662302,0.044149134,0.0011595101,0.0000015924468,0.00038976702,0.006264033],"genre_scores_gemma":[0.9903724,0.00000929262,0.009033448,0.00003669433,0.00051594025,0.0000050029175,6.556213e-7,0.00002021789,0.0000063266434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972559,0.00017524521,0.0011899611,0.00036196018,0.0005990584,0.00041783942],"domain_scores_gemma":[0.99775124,0.00047307496,0.00084259163,0.0003862242,0.00043216159,0.00011473468],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017315133,0.00031053138,0.00076099794,0.0006844954,0.00029107922,0.00023991549,0.0010415772,0.00019025498,9.07104e-7],"category_scores_gemma":[0.00021300562,0.00025439294,0.00016840031,0.0010094381,0.00015480549,0.00043340266,0.00043967934,0.00074567896,0.0000021548028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010738045,0.00093743316,0.0006675896,0.0007011177,0.0000669045,0.00010867041,0.00070134713,0.00021680057,0.00025127444,0.9809189,0.00070042856,0.014622162],"study_design_scores_gemma":[0.0067557227,0.0017904085,0.0020002446,0.0066373767,0.00010155664,0.00010694176,0.00064127997,0.8121199,0.00042243177,0.16785076,0.0009672075,0.00060618384],"about_ca_topic_score_codex":0.000005267341,"about_ca_topic_score_gemma":1.9068354e-7,"teacher_disagreement_score":0.81306815,"about_ca_system_score_codex":0.0006022295,"about_ca_system_score_gemma":0.0004901407,"threshold_uncertainty_score":0.9999908},"labels":[],"label_agreement":null},{"id":"W4409603809","doi":"10.61091/jcmcc127b-184","title":"Research on Real-Time Processing and Risk Management Methods of Enterprise Financial Big Data Based on Distributed Computing Framework","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Big data; Finance; Computer science; Data science; Business; Data mining","score_opus":0.15561907467103014,"score_gpt":0.4459331289446279,"score_spread":0.29031405427359774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603809","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39907256,0.00028567904,0.59049207,0.0007203494,0.006267572,0.00077264686,0.00010368537,0.00006961808,0.002215811],"genre_scores_gemma":[0.90332663,0.00013453937,0.09609796,0.000019746123,0.0003915799,0.0000021091073,0.0000064292403,0.000015904394,0.0000051184447],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9951395,0.0006405396,0.001726007,0.0005613849,0.0015602633,0.00037232027],"domain_scores_gemma":[0.98605675,0.00996131,0.0016823586,0.001222273,0.00095148815,0.00012585183],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.016580034,0.00025865945,0.0008938391,0.00080622593,0.00071644224,0.00050964445,0.0020139925,0.00025599016,0.0000030241808],"category_scores_gemma":[0.00907462,0.00020104056,0.0001029558,0.0019067845,0.00030355147,0.00013604286,0.0018140293,0.0010589364,0.0000018093398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026039899,0.0009149113,0.00039070376,0.00018471133,0.00006921624,0.0000097665215,0.00017776946,0.00022454075,0.00006854463,0.6625433,0.002144232,0.33301193],"study_design_scores_gemma":[0.0019488396,0.0005976276,0.00082484656,0.0016774525,0.000098756675,0.0000038189887,0.0006938262,0.1120223,0.00033744748,0.87919384,0.0024163423,0.00018489892],"about_ca_topic_score_codex":0.000011718224,"about_ca_topic_score_gemma":2.2389544e-7,"teacher_disagreement_score":0.50425404,"about_ca_system_score_codex":0.000079906014,"about_ca_system_score_gemma":0.00020108047,"threshold_uncertainty_score":0.99927235},"labels":[],"label_agreement":null},{"id":"W4409603810","doi":"10.61091/jcmcc127b-163","title":"Research on Safety Risk Grading and Hidden Trouble Identification and Management Strategy of Dual Prevention Mechanism Based on Multi-Level Analysis Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dual (grammatical number); Mechanism (biology); Identification (biology); Risk analysis (engineering); Grading (engineering); Computer science; Business; Engineering; Linguistics","score_opus":0.11934549463942357,"score_gpt":0.39826636845905355,"score_spread":0.27892087381963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7628395,0.00016045633,0.23319434,0.00019543665,0.0017649744,0.000497797,0.000010650656,0.00001240214,0.0013244452],"genre_scores_gemma":[0.98923075,0.0002622948,0.0103043085,0.0000051392585,0.00011286726,0.000002864119,0.0000027176382,0.000011066764,0.000067991015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9944949,0.00092790526,0.0018938755,0.0004619501,0.0019564664,0.0002648762],"domain_scores_gemma":[0.994125,0.0027262093,0.0016233482,0.00043768508,0.0009490679,0.00013865958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016787939,0.00023138837,0.0009754187,0.002004618,0.00063058565,0.00048227026,0.00043892342,0.00015995602,0.000004154332],"category_scores_gemma":[0.0010169996,0.00018411066,0.00028025577,0.0023057593,0.00013411397,0.00019016406,0.0002324698,0.00052128994,7.465675e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043752967,0.0011335524,0.0005991588,0.00015345016,0.0008088752,0.000005992931,0.0005095394,0.003159681,0.000093113624,0.95859325,0.00005388484,0.03445195],"study_design_scores_gemma":[0.0036372007,0.0005184257,0.007594489,0.00021387386,0.00074967876,0.000002546342,0.0022529333,0.26897275,0.00030824682,0.71558607,0.00002021078,0.00014356026],"about_ca_topic_score_codex":0.00002385549,"about_ca_topic_score_gemma":0.0000024474023,"teacher_disagreement_score":0.26581305,"about_ca_system_score_codex":0.00008962655,"about_ca_system_score_gemma":0.00008620813,"threshold_uncertainty_score":0.7507815},"labels":[],"label_agreement":null},{"id":"W4409603812","doi":"10.61091/jcmcc127b-177","title":"AI Generative Technology-Driven Comic IP Image Character Design of Agricultural and Side Products in Jilin Province Helps Rural Revitalization Research","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"People's Government of Jilin Province","keywords":"Comics; Character (mathematics); Generative grammar; Image (mathematics); Agriculture; Business; Geography; Computer science; Artificial intelligence; Mathematics","score_opus":0.031185963458866248,"score_gpt":0.3412978042075314,"score_spread":0.31011184074866516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878246,0.00032613843,0.0014707737,0.0061474205,0.0030217194,0.00067599723,0.0000011736114,0.000016159634,0.00051600335],"genre_scores_gemma":[0.9956996,0.00009982885,0.0035336434,0.000034002136,0.00058931945,0.000004191676,0.0000011672288,0.0000064734786,0.000031793552],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976674,0.0005903019,0.0008014313,0.00016516626,0.00044651597,0.00032918356],"domain_scores_gemma":[0.9970323,0.0009027684,0.00044580607,0.000104987186,0.001426976,0.000087180626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030762905,0.00014373197,0.00050207996,0.00032348858,0.00035659992,0.00015070912,0.00026202263,0.0002095922,0.0000019457334],"category_scores_gemma":[0.003588761,0.00011260058,0.000042348638,0.0008069348,0.00052382133,0.00025846512,0.00015380562,0.0005567992,6.4372995e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050195762,0.00034607874,0.00054746936,0.0001862331,0.000022243996,0.000002623997,0.0031393694,0.00001592822,0.00492099,0.99006444,0.00016934205,0.0005350886],"study_design_scores_gemma":[0.0018201265,0.00053723744,0.0037610785,0.0009983539,0.000043922933,0.000009504435,0.004903481,0.000733243,0.005247531,0.9815284,0.00022004776,0.00019708136],"about_ca_topic_score_codex":0.000064117005,"about_ca_topic_score_gemma":0.0000042590314,"teacher_disagreement_score":0.0085360445,"about_ca_system_score_codex":0.00016075453,"about_ca_system_score_gemma":0.00053712114,"threshold_uncertainty_score":0.45917183},"labels":[],"label_agreement":null},{"id":"W4409603814","doi":"10.61091/jcmcc127b-158","title":"An Applied Study of English Sentence Fast Retrieval Algorithm Based on Choquet Expectation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sentence; Computer science; Natural language processing; Algorithm; Artificial intelligence; Linguistics; Philosophy","score_opus":0.010143869397746912,"score_gpt":0.28376680589551667,"score_spread":0.27362293649776975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79139966,0.000027962877,0.19123316,0.00014021457,0.015919281,0.000446292,0.0000010409601,0.00007242203,0.0007599511],"genre_scores_gemma":[0.9730605,0.0000024711933,0.026435807,0.00003060984,0.0004553243,0.0000029065106,9.92864e-7,0.0000096005015,0.000001794821],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977214,0.00013799536,0.0009520904,0.0002800348,0.00070362637,0.00020489316],"domain_scores_gemma":[0.9966551,0.00068654446,0.00095190963,0.000441009,0.0011731033,0.00009234498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013686529,0.00021735035,0.00054805336,0.0004200658,0.00022454196,0.00015407722,0.0008859111,0.00013509451,0.0000013197096],"category_scores_gemma":[0.00041979848,0.00020041541,0.00007851445,0.0007051504,0.0000632651,0.00023647085,0.00015693567,0.00044695582,2.9762137e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009811015,0.006016778,0.00053694326,0.000078884805,0.0000928143,0.000007697968,0.0045515066,0.00040873888,0.00040602073,0.98168206,0.00009461313,0.006025829],"study_design_scores_gemma":[0.015460662,0.008176126,0.0036211426,0.00075410167,0.0001694841,0.000010467188,0.012452034,0.19774003,0.011217723,0.7496344,0.00012566848,0.000638153],"about_ca_topic_score_codex":0.0000030809938,"about_ca_topic_score_gemma":1.19073356e-7,"teacher_disagreement_score":0.23204766,"about_ca_system_score_codex":0.00008526717,"about_ca_system_score_gemma":0.00026893482,"threshold_uncertainty_score":0.8172703},"labels":[],"label_agreement":null},{"id":"W4409603815","doi":"10.61091/jcmcc127b-159","title":"Modeling and simulation of permafrost changes in the upper Irtysh River basin driven by meteorological data based on partial differential equations","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Permafrost; Structural basin; Drainage basin; Differential (mechanical device); Environmental science; Partial differential equation; Geology; Hydrology (agriculture); Geotechnical engineering; Geomorphology; Geography; Engineering; Oceanography; Mathematics; Cartography","score_opus":0.04955857831932835,"score_gpt":0.28469690018759997,"score_spread":0.2351383218682716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879424,0.00021017047,0.008445276,0.00044490004,0.0023583563,0.00022426875,0.00026202432,0.0000059045324,0.00010672259],"genre_scores_gemma":[0.99920535,0.000046691315,0.00016534509,0.00009065755,0.00033594627,4.0806884e-7,0.0001505051,0.000004249045,8.270607e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983746,0.00021815757,0.0005904964,0.00019022432,0.0004270895,0.00019943445],"domain_scores_gemma":[0.99732965,0.001957563,0.0003075454,0.00022429411,0.00012109746,0.000059855545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011372708,0.00016956996,0.00044050883,0.00015964704,0.00019696861,0.00012869081,0.00039949827,0.00011781165,0.00004677817],"category_scores_gemma":[0.0003907484,0.00011663021,0.000054857264,0.0002112385,0.000095178584,0.00013453116,0.0000808152,0.00030099048,4.6937564e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036351394,0.0051138825,0.2891947,0.0016641378,0.0005527887,0.00008777982,0.018498415,0.4771491,0.0026766967,0.18041262,0.0016298549,0.019384867],"study_design_scores_gemma":[0.0019770882,0.00040530806,0.0032661017,0.0001900412,0.00008020669,0.0000025706863,0.00030518437,0.98002887,0.000029567174,0.013528238,0.00007392782,0.00011289042],"about_ca_topic_score_codex":0.00012159941,"about_ca_topic_score_gemma":0.00004039536,"teacher_disagreement_score":0.5028798,"about_ca_system_score_codex":0.00000844549,"about_ca_system_score_gemma":0.00004680008,"threshold_uncertainty_score":0.47560418},"labels":[],"label_agreement":null},{"id":"W4409603816","doi":"10.61091/jcmcc127b-178","title":"Research on Digital Educational Resource Management System of China-ASEAN Folklore Sports Culture Based on Knowledge Graph","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Folklore; China; Business; Knowledge management; Resource (disambiguation); Computer science; Political science; Sociology; Anthropology","score_opus":0.02388150506092924,"score_gpt":0.36363496768730713,"score_spread":0.3397534626263779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603816","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42045367,0.00023214846,0.0018428578,0.0021738461,0.018363941,0.0013428398,0.000010988989,0.00009187796,0.5554878],"genre_scores_gemma":[0.9969962,0.000008499004,0.0014733886,0.000019920626,0.0012514299,0.0000070330957,0.000004022923,0.000018681549,0.00022081647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965114,0.00034832963,0.00095713773,0.00024378391,0.0016010401,0.00033830796],"domain_scores_gemma":[0.99584824,0.0013612635,0.0007803616,0.00026342898,0.0016154456,0.00013128186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051428284,0.00021742836,0.0005061415,0.0009149517,0.00076889,0.0002392019,0.0005963293,0.00017543863,0.0000074768764],"category_scores_gemma":[0.00060791714,0.00019350504,0.00016740232,0.0015034993,0.0003049881,0.000140799,0.00013778775,0.000649641,0.0000014747474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001257186,0.001433094,0.00032635062,0.00039371653,0.00006648158,0.0000056178997,0.0028142394,0.000021415824,0.000006934475,0.98869544,0.004993783,0.0011172005],"study_design_scores_gemma":[0.001831482,0.00075597083,0.0012237905,0.004210546,0.000054379234,0.0000035441512,0.012149225,0.00026051357,0.0002982608,0.9701698,0.008801429,0.00024105646],"about_ca_topic_score_codex":0.000009014422,"about_ca_topic_score_gemma":2.8173363e-7,"teacher_disagreement_score":0.57654256,"about_ca_system_score_codex":0.00046179496,"about_ca_system_score_gemma":0.00067694136,"threshold_uncertainty_score":0.78909063},"labels":[],"label_agreement":null},{"id":"W4409603817","doi":"10.61091/jcmcc127b-154","title":"Study on the Relevance of Jiangnan Garden Design Elements and Aesthetic Context Based on Visual Recognition","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Relevance (law); Context (archaeology); Aesthetics; Psychology; Art; History; Political science; Archaeology","score_opus":0.048425880103054215,"score_gpt":0.3340487491667788,"score_spread":0.2856228690637246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98507947,0.00008609152,0.003975996,0.00036956547,0.006921285,0.00086974824,0.0000016339282,0.000019302226,0.0026769307],"genre_scores_gemma":[0.999242,0.000007467273,0.00034790032,0.0001602849,0.00019236977,0.000008442287,4.4521815e-7,0.000018907564,0.000022166068],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974906,0.0006245188,0.0009835766,0.00021420345,0.0004792471,0.00020787443],"domain_scores_gemma":[0.9963845,0.0021101085,0.0008409364,0.00023132827,0.00035338904,0.00007973039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002618918,0.00022868712,0.00055726926,0.00024394676,0.00022941262,0.0000928712,0.00022890574,0.000113205,0.00004001148],"category_scores_gemma":[0.00050690514,0.00016995131,0.00010648158,0.00024920344,0.00009671856,0.000040110415,0.000060105063,0.00041028723,0.0000065473873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006600484,0.017075362,0.001598282,0.0002744139,0.0006495528,0.000114614115,0.017321307,0.00009276785,0.0007630948,0.84955144,0.0057658604,0.100192815],"study_design_scores_gemma":[0.054614976,0.045652296,0.007531885,0.0043314565,0.0008999293,0.000111437264,0.036182538,0.0138733545,0.0014616856,0.83291596,0.0012809369,0.0011435286],"about_ca_topic_score_codex":0.0000041686058,"about_ca_topic_score_gemma":2.9430478e-7,"teacher_disagreement_score":0.09904929,"about_ca_system_score_codex":0.000057589572,"about_ca_system_score_gemma":0.00008153737,"threshold_uncertainty_score":0.6930413},"labels":[],"label_agreement":null},{"id":"W4409603819","doi":"10.61091/jcmcc127b-152","title":"A Study on the Metricized Assessment of Foreign Language Talent Cultivation Goal Achievement in Applied Colleges and Universities under the Concept of OBE Based on Decision Tree Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Department of Education of Guangdong Province","keywords":"Decision tree; Mathematics education; Tree (set theory); Computer science; Foreign language; Decision tree learning; Artificial intelligence; Psychology; Management science; Mathematics; Engineering; Combinatorics","score_opus":0.018131979483149985,"score_gpt":0.3144633753869963,"score_spread":0.29633139590384633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9280386,0.00006715107,0.06870391,0.00062280573,0.0014128138,0.00047559498,0.0000016034783,0.000007897155,0.0006696241],"genre_scores_gemma":[0.9941193,0.0000047299573,0.005770189,0.000044439807,0.000049752238,0.0000036870401,4.0431436e-7,0.000004332082,0.0000031978698],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984024,0.00018805698,0.00062312937,0.00014483984,0.00052310387,0.00011846407],"domain_scores_gemma":[0.9951239,0.0037382806,0.00066629174,0.00024583488,0.00020036737,0.000025290625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018354533,0.00014241377,0.00040529008,0.00035358377,0.00017519927,0.000049113616,0.000511161,0.000076627024,0.0000010223696],"category_scores_gemma":[0.00010629932,0.000089624205,0.000060970262,0.0005875871,0.00011135687,0.000053342006,0.00019690992,0.0003105872,4.4973294e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006484995,0.001235089,0.0003238115,0.000018749432,0.000066316796,0.0000023611801,0.0018662999,0.00038156222,0.00008581595,0.9935924,0.000024976305,0.0023378092],"study_design_scores_gemma":[0.01570379,0.0038307519,0.025585493,0.00079412665,0.00013269707,0.0000061778715,0.088209555,0.08289239,0.0040264456,0.7785226,0.000030429941,0.00026552196],"about_ca_topic_score_codex":0.000010771059,"about_ca_topic_score_gemma":7.3380323e-7,"teacher_disagreement_score":0.21506973,"about_ca_system_score_codex":0.00010846497,"about_ca_system_score_gemma":0.0002628946,"threshold_uncertainty_score":0.3654769},"labels":[],"label_agreement":null},{"id":"W4409603821","doi":"10.61091/jcmcc127b-160","title":"Research on Morphological Innovation in City Brand Image Based on Computer Graphics Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer graphics (images); Computer graphics; Computer science; Graphics; Image (mathematics); Brand image; Business; Multimedia; Computer vision; Advertising","score_opus":0.03968589497153595,"score_gpt":0.34703527396251777,"score_spread":0.3073493789909818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89511096,0.000033664095,0.089196555,0.0019951216,0.009914254,0.00035273627,7.4612154e-7,0.0000694794,0.0033264821],"genre_scores_gemma":[0.99040604,0.0000069236385,0.0091031585,0.00015671912,0.00030774449,0.0000035579408,6.6216444e-7,0.0000113255965,0.0000038787457],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99687743,0.0002100941,0.001184219,0.0003629297,0.00092606747,0.000439283],"domain_scores_gemma":[0.9962423,0.0017942516,0.00048519755,0.00039495167,0.0009880171,0.000095284915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034617777,0.0002525801,0.0006344219,0.0019356658,0.00023960335,0.00042300945,0.0009832864,0.00026966303,0.0000014758954],"category_scores_gemma":[0.0007032008,0.00021183798,0.00009446543,0.0038027847,0.00020972991,0.00027487162,0.00044448272,0.0012643698,0.000003404459],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010505207,0.0013145426,0.00033274174,0.00007930948,0.000020308047,0.00013589665,0.00010388446,0.000050436367,0.000132378,0.9928178,0.00028881207,0.0046188147],"study_design_scores_gemma":[0.004581355,0.0027143245,0.0006630935,0.0011528572,0.000008351236,0.000031853306,0.000068342146,0.07881923,0.001405038,0.9099729,0.00036558099,0.0002170915],"about_ca_topic_score_codex":0.0000023395094,"about_ca_topic_score_gemma":1.6003533e-7,"teacher_disagreement_score":0.095295064,"about_ca_system_score_codex":0.0001256157,"about_ca_system_score_gemma":0.00022202042,"threshold_uncertainty_score":0.86385024},"labels":[],"label_agreement":null},{"id":"W4409603823","doi":"10.61091/jcmcc127b-170","title":"Theoretical study of charge transport and luminescence efficiency enhancement in OLED devices based on differential equation modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Organic Light-Emitting Diodes Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"OLED; Luminescence; Optoelectronics; Charge (physics); Materials science; Differential (mechanical device); Physics; Nanotechnology; Quantum mechanics; Thermodynamics","score_opus":0.01138401203622586,"score_gpt":0.2576970300841832,"score_spread":0.24631301804795735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9762959,0.00007881208,0.020339131,0.000022992579,0.0026335996,0.0003595816,4.9941195e-7,0.000018475055,0.00025099405],"genre_scores_gemma":[0.9995378,0.000012542696,0.000276351,0.0000032438932,0.00014758809,0.000002626981,5.1164096e-7,0.000018712106,5.931335e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782187,0.000090057896,0.001054892,0.00017039294,0.0006192384,0.00024352912],"domain_scores_gemma":[0.99883795,0.0005179376,0.00021654459,0.00015934661,0.00019320757,0.00007500503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012445062,0.00020788371,0.00060261245,0.00034213442,0.00008399028,0.00005722153,0.00024407654,0.00010025821,0.000008484885],"category_scores_gemma":[0.00022287293,0.00018350688,0.000057425583,0.00035625554,0.000053841162,0.000074834614,0.00006066859,0.00039734118,2.3219779e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069146516,0.008656597,0.009885295,0.0031603812,0.00029995822,0.000039465118,0.010557043,0.010060072,0.013633995,0.94181985,0.0000074970176,0.0011883726],"study_design_scores_gemma":[0.005588181,0.0008735165,0.00021794839,0.00091933133,0.000066156856,0.0000015947976,0.00044740882,0.9710093,0.0074193426,0.013297796,7.4061285e-7,0.00015867443],"about_ca_topic_score_codex":0.0000053112467,"about_ca_topic_score_gemma":4.6384133e-7,"teacher_disagreement_score":0.96094924,"about_ca_system_score_codex":0.00008392218,"about_ca_system_score_gemma":0.00007032777,"threshold_uncertainty_score":0.7483194},"labels":[],"label_agreement":null},{"id":"W4409603826","doi":"10.61091/jcmcc127b-153","title":"Product form optimization algorithms for computer-aided industrial design instruction","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Computer science; Product design; Engineering drawing; Computer Aided Design; Computer-aided; Algorithm; Industrial engineering; Engineering; Mathematics; Programming language","score_opus":0.021883691018623495,"score_gpt":0.23956801243851863,"score_spread":0.21768432141989513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603826","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031290386,0.0001680318,0.94365203,0.00004902199,0.024031473,0.00057957525,0.0000017078453,0.000096515985,0.0001312275],"genre_scores_gemma":[0.7164129,0.000082680366,0.2805001,0.00001252167,0.0029179861,0.00000996484,0.000006247254,0.000050322244,0.000007230263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983086,0.00003928967,0.0009513692,0.00017215703,0.00027908204,0.00024949323],"domain_scores_gemma":[0.9984838,0.00034751455,0.00045536974,0.00014355844,0.0004854862,0.00008431141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097362907,0.0002548354,0.00055149227,0.00029143642,0.00023378815,0.00024462648,0.00022546573,0.0001791731,0.0000024496255],"category_scores_gemma":[0.00022659142,0.00024403755,0.00010979787,0.00031027233,0.000034232573,0.00028440767,0.000063479674,0.0003093095,1.9056826e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018083306,0.00023443057,0.000023188733,0.00077290466,0.00024891086,0.0000023801715,0.0006676129,0.8798295,0.00007752887,0.07840348,0.0009870908,0.03857214],"study_design_scores_gemma":[0.005805661,0.0003828524,0.000010627451,0.0003858978,0.00011962062,0.000020475145,0.000052743977,0.886993,0.0034655577,0.102020785,0.00049844914,0.00024435634],"about_ca_topic_score_codex":0.0000018907568,"about_ca_topic_score_gemma":5.1738976e-8,"teacher_disagreement_score":0.68512255,"about_ca_system_score_codex":0.00012000642,"about_ca_system_score_gemma":0.000106887615,"threshold_uncertainty_score":0.9951563},"labels":[],"label_agreement":null},{"id":"W4409603827","doi":"10.61091/jcmcc127b-167","title":"Research on Approval and Global Optimal Path Planning Strategy for Bulk Transportation Based on Greedy Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science and Technology Department of Guangxi Zhuang Autonomous","keywords":"Greedy algorithm; Path (computing); Algorithm; Mathematical optimization; Computer science; Motion planning; Operations research; Mathematics; Artificial intelligence","score_opus":0.04370584523504462,"score_gpt":0.34387748795589107,"score_spread":0.30017164272084645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603827","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.097761646,0.0001474091,0.89180183,0.00031531596,0.00873439,0.00057472306,0.0000115871535,0.00006603693,0.00058703707],"genre_scores_gemma":[0.7931495,0.0000043375117,0.20614047,0.000048471342,0.00062197616,0.000007550365,0.0000034961377,0.000018756891,0.0000054638667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967871,0.00019983167,0.00097298046,0.0004510909,0.0010624934,0.00052655244],"domain_scores_gemma":[0.9960747,0.0020285407,0.0005893351,0.00032790343,0.0007667719,0.00021276085],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003591092,0.00032922582,0.00068967993,0.00040500672,0.0005432222,0.0005409126,0.0007293078,0.00022700474,4.1312532e-7],"category_scores_gemma":[0.00031849212,0.0003004851,0.00013971278,0.00070302305,0.000111244706,0.00023187722,0.000095718184,0.0007120631,5.9264545e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026453924,0.00071612844,0.00010731158,0.00025454178,0.00009111481,0.00008227745,0.00051872415,0.027847487,0.000026796297,0.9499419,0.00051408366,0.019635126],"study_design_scores_gemma":[0.0052184183,0.0034601723,0.0004454399,0.0010053914,0.00004210388,0.000019844725,0.00027387906,0.7521701,0.0001273965,0.23685224,0.0001348142,0.00025018922],"about_ca_topic_score_codex":0.000007160683,"about_ca_topic_score_gemma":3.0500864e-8,"teacher_disagreement_score":0.7243226,"about_ca_system_score_codex":0.00016682499,"about_ca_system_score_gemma":0.00040547474,"threshold_uncertainty_score":0.99994475},"labels":[],"label_agreement":null},{"id":"W4409603836","doi":"10.61091/jcmcc127b-168","title":"AI-driven design innovation: the integration of computational methods in the analysis of Shuangdun Carved Symbols and product design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Anhui Provincial Quality Engineering Project; Bengbu University","keywords":"Product (mathematics); Product design; Computer science; Product innovation; Manufacturing engineering; Engineering; Mathematics; Knowledge management","score_opus":0.056567754136691864,"score_gpt":0.36309458325969746,"score_spread":0.3065268291230056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603836","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1365983,0.00018587186,0.86003864,0.0006843887,0.0020293747,0.0003715259,7.196847e-7,0.000007853445,0.000083319064],"genre_scores_gemma":[0.882328,0.000010117817,0.11751685,0.000052670453,0.00008153636,0.0000034400728,8.4785734e-7,0.0000050662284,0.0000014927477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971234,0.0006510116,0.0013369514,0.00018435348,0.00054637104,0.00015789797],"domain_scores_gemma":[0.9938565,0.0037879068,0.0010670084,0.0002686593,0.0009873114,0.000032598182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057012155,0.00017605846,0.00069215975,0.000556239,0.00013186058,0.0002241565,0.0007315689,0.0000670578,5.3553725e-7],"category_scores_gemma":[0.0008738466,0.00011002904,0.00011381812,0.0031187264,0.00014071203,0.00031537647,0.0002012389,0.00030748112,6.721264e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004411593,0.00033245262,0.00017600793,0.000087324435,0.00034992027,0.0000025907193,0.0037530896,0.004052503,0.0007643137,0.97949976,0.000070214934,0.010867712],"study_design_scores_gemma":[0.0011542633,0.00041385746,0.001851903,0.00030991613,0.00029308177,0.000011758978,0.00048095806,0.28580767,0.0028629904,0.7066793,0.000022769316,0.000111560614],"about_ca_topic_score_codex":0.0000066999633,"about_ca_topic_score_gemma":2.3074338e-7,"teacher_disagreement_score":0.7457297,"about_ca_system_score_codex":0.00003300734,"about_ca_system_score_gemma":0.00022320409,"threshold_uncertainty_score":0.4486854},"labels":[],"label_agreement":null},{"id":"W4409603837","doi":"10.61091/jcmcc127b-164","title":"A Computational Approach to the Classification of Chinese Syntactic Structures Using a Large-Scale Corpus","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Natural language processing; Computer science; Artificial intelligence; Scale (ratio); Cartography; Geography","score_opus":0.013692508274592502,"score_gpt":0.28896891387485657,"score_spread":0.27527640560026406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603837","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25198838,0.0005363129,0.7432103,0.00021775579,0.0035592553,0.0002649837,0.0000015091509,0.000042107535,0.00017938414],"genre_scores_gemma":[0.6952589,0.0000024008257,0.30447835,0.000042087984,0.0002058236,0.0000013700022,5.7253584e-7,0.000008981068,0.0000015198196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977678,0.00014480272,0.000957089,0.00023450135,0.00065558054,0.00024023576],"domain_scores_gemma":[0.9970044,0.0006389687,0.0010745128,0.0003547201,0.00083550607,0.00009191113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015504162,0.00022799878,0.0005698241,0.00032647187,0.00031681466,0.00030342676,0.0011491398,0.000121196514,4.849391e-7],"category_scores_gemma":[0.00059547095,0.00015670866,0.00013518683,0.0009999875,0.000062947,0.0002808936,0.00050522573,0.00035280277,2.0186768e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034820292,0.0003335718,0.00026635383,0.00019686278,0.00006414922,0.0000020714492,0.002185907,0.00060732255,0.0010831298,0.9938951,0.000070867805,0.0012598019],"study_design_scores_gemma":[0.000907642,0.00012472717,0.00038751695,0.00020216157,0.000039231512,0.00007004771,0.00016746597,0.25003308,0.0003874657,0.74749935,0.00005063681,0.00013069957],"about_ca_topic_score_codex":0.000007581146,"about_ca_topic_score_gemma":2.3737033e-7,"teacher_disagreement_score":0.4432705,"about_ca_system_score_codex":0.000096751,"about_ca_system_score_gemma":0.00025620015,"threshold_uncertainty_score":0.63903934},"labels":[],"label_agreement":null},{"id":"W4409603838","doi":"10.61091/jcmcc127b-157","title":"Research on Digitization and Diversified Cultural and Creative Design of Traditional Handicraft Elements Based on Deep Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Digitization; Handicraft; Cultural heritage; Artificial intelligence; Architectural engineering; Computer science; Engineering; Visual arts; Art; Geography; Archaeology; Computer vision","score_opus":0.0721948483163505,"score_gpt":0.3357354343818663,"score_spread":0.26354058606551584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8226061,0.00016664773,0.16789664,0.00031018592,0.0045608203,0.0004871045,0.000002294208,0.00003538158,0.0039348667],"genre_scores_gemma":[0.99535847,0.000035918434,0.0044216583,0.000020665982,0.00014366915,0.0000017038415,0.0000013156136,0.0000071579607,0.000009439031],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980312,0.00023218921,0.0005676821,0.00021320679,0.00074016186,0.00021557361],"domain_scores_gemma":[0.99662054,0.0021870749,0.000414391,0.00010780969,0.0005445744,0.00012559973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015933375,0.00016824079,0.0003956842,0.00031321903,0.00034946788,0.00035970024,0.00027289416,0.000082954924,0.00000144397],"category_scores_gemma":[0.0005497257,0.00014002493,0.000051244737,0.00039329575,0.00014695263,0.0003337167,0.00018245682,0.00038751672,4.406135e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002027499,0.0006461942,0.00028953925,0.00015392517,0.00007383231,0.000011674272,0.00093267777,0.000409523,0.00017555569,0.9908396,0.0001138132,0.0061509353],"study_design_scores_gemma":[0.008021265,0.0071727685,0.0013950403,0.0022803743,0.000057631973,0.000015602376,0.0011399371,0.3149469,0.0024937887,0.6620283,0.00015458777,0.00029378635],"about_ca_topic_score_codex":0.0000018479769,"about_ca_topic_score_gemma":2.5622324e-8,"teacher_disagreement_score":0.32881126,"about_ca_system_score_codex":0.00005849316,"about_ca_system_score_gemma":0.00009424955,"threshold_uncertainty_score":0.5710051},"labels":[],"label_agreement":null},{"id":"W4409603841","doi":"10.61091/jcmcc127b-174","title":"esearch on the Application of Computer Visual Technology to Enhance Cultural Inheritance and National Identity in Ethnic Pattern Design Courses","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ethnic group; Inheritance (genetic algorithm); Cultural inheritance; Identity (music); Cultural identity; Sociology; Anthropology; Aesthetics; Social science; Art; Genetics; Literature; Biology","score_opus":0.02913245562785325,"score_gpt":0.37750509099251967,"score_spread":0.3483726353646664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62486345,0.00012883994,0.3717179,0.0009070004,0.0019968022,0.00028875028,4.5207656e-7,0.00001399957,0.00008279446],"genre_scores_gemma":[0.9934316,0.000022004726,0.006295553,0.00006936466,0.00016548,0.000007370376,1.6280478e-7,0.0000064147,0.000002045571],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99812853,0.00011292033,0.0006919374,0.00022039785,0.00063208025,0.00021412816],"domain_scores_gemma":[0.9976162,0.0010948937,0.00040326145,0.00016413526,0.00064965687,0.0000718677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017573949,0.00016199003,0.00041870083,0.00027976627,0.000117093,0.0001965395,0.00069445,0.00009644825,3.808917e-7],"category_scores_gemma":[0.00036220302,0.000121891644,0.00004989144,0.0010117834,0.000113872884,0.0003594306,0.00044268975,0.00035571822,0.0000014550643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003365763,0.00044355748,0.00038981816,0.00009274059,0.000034912326,0.0000041061016,0.0007062034,0.000069368616,0.000890749,0.96410036,0.00007127315,0.03316323],"study_design_scores_gemma":[0.0014431297,0.0013753852,0.0018604614,0.001095429,0.000014448866,0.000021353788,0.00032634914,0.07691673,0.006970999,0.90965366,0.00009687222,0.00022517581],"about_ca_topic_score_codex":0.00000498558,"about_ca_topic_score_gemma":0.0000010670491,"teacher_disagreement_score":0.36856815,"about_ca_system_score_codex":0.000073050694,"about_ca_system_score_gemma":0.00013052793,"threshold_uncertainty_score":0.49705967},"labels":[],"label_agreement":null},{"id":"W4409603842","doi":"10.61091/jcmcc127b-171","title":"Research on cooperative scheduling and power restoration strategy of intelligent operation and maintenance equipment under flood disaster based on dynamic planning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Safety and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Southern Power Grid","keywords":"Flood myth; Scheduling (production processes); Computer science; Operations research; Disaster response; Emergency management; Environmental resource management; Environmental planning; Operations management; Environmental science; Engineering; Geography; Political science","score_opus":0.03352628197869957,"score_gpt":0.32189522624199457,"score_spread":0.288368944263295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750812,0.00022518994,0.017299825,0.0006036506,0.0035068688,0.0004650361,7.7709245e-7,0.000015376683,0.0028020486],"genre_scores_gemma":[0.99899316,0.000030581014,0.00051612256,0.00012954006,0.00029747942,0.0000026818993,0.0000021491956,0.000016544482,0.0000117321615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813354,0.00008331694,0.0007521927,0.00023534574,0.00056116516,0.00023443406],"domain_scores_gemma":[0.9982493,0.00052586634,0.0005153805,0.00015264169,0.00052660384,0.000030209592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023728658,0.0002125636,0.00043045418,0.000513791,0.00040143606,0.00043078812,0.0001637969,0.000102928345,0.0000059099793],"category_scores_gemma":[0.00022194297,0.00017189056,0.000050501196,0.0003248686,0.00011722083,0.000314693,0.00021124804,0.00043924793,0.0000012405404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048233927,0.00046925008,0.00016604071,0.00038937657,0.000076475815,0.000008130569,0.00039854666,0.024338566,0.00023576507,0.9719912,0.000092876944,0.0013514751],"study_design_scores_gemma":[0.008392901,0.0016812776,0.0025889138,0.005112423,0.00017330311,0.000005204354,0.010775804,0.5641228,0.00040645554,0.40572372,0.00053715595,0.00048001978],"about_ca_topic_score_codex":0.000012405592,"about_ca_topic_score_gemma":0.0000012258623,"teacher_disagreement_score":0.56626743,"about_ca_system_score_codex":0.00009357184,"about_ca_system_score_gemma":0.000073086914,"threshold_uncertainty_score":0.7009494},"labels":[],"label_agreement":null},{"id":"W4409603844","doi":"10.61091/jcmcc127b-162","title":"Research on Audit Data Anomaly Detection and Risk Assessment Method Based on Data Mining Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Yunnan University; Tianjin University; Tianjin University of Technology","keywords":"Anomaly detection; Audit; Data mining; Anomaly (physics); Data science; Computer science; Business; Accounting","score_opus":0.06909951381157049,"score_gpt":0.4040861612218774,"score_spread":0.3349866474103069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603844","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03525255,0.000094079885,0.95594716,0.0012844212,0.005820499,0.0003964269,0.00002430301,0.0001396816,0.0010408541],"genre_scores_gemma":[0.70309895,0.000053916992,0.2964997,0.00003624052,0.00028159568,0.0000034991926,0.0000071390173,0.000015687741,0.000003281469],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962682,0.0006460508,0.0009952855,0.0007368438,0.0009808416,0.00037279338],"domain_scores_gemma":[0.991984,0.0035633522,0.0010571977,0.0025450122,0.0007330248,0.0001174261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011392867,0.0002621184,0.0006118993,0.0012132964,0.00064988213,0.0006420708,0.0035339247,0.0002487679,0.000001053926],"category_scores_gemma":[0.002487833,0.0002372914,0.00004008917,0.0013692855,0.00013913648,0.00061422685,0.0029065693,0.0012678535,0.0000011492524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078941426,0.00068316224,0.00039379302,0.00013010448,0.00010747791,0.000018142971,0.00008569568,0.00005357107,0.00050475245,0.9095399,0.0014236828,0.0869808],"study_design_scores_gemma":[0.0021801319,0.0011744548,0.00047934536,0.0005898045,0.00005903565,0.000023809067,0.00016901665,0.6915972,0.0015755851,0.2994338,0.0025016095,0.00021620521],"about_ca_topic_score_codex":0.000012324875,"about_ca_topic_score_gemma":0.0000010357595,"teacher_disagreement_score":0.69154364,"about_ca_system_score_codex":0.00017419702,"about_ca_system_score_gemma":0.00042503464,"threshold_uncertainty_score":0.96764624},"labels":[],"label_agreement":null},{"id":"W4409603847","doi":"10.61091/jcmcc127b-179","title":"Research on Calculation Model and Decision-Making Mechanism of Response Efficiency of the Whole Material Chain under Dynamic Multi-Objective Optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Chain (unit); Computer science; Mathematical optimization; Mathematics; Physics","score_opus":0.015675762419456386,"score_gpt":0.29266319096559995,"score_spread":0.27698742854614355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78309363,0.000070605056,0.21154317,0.00003674685,0.004856257,0.00030893687,0.0000034996442,0.000017545843,0.00006958654],"genre_scores_gemma":[0.99704874,0.0000075227504,0.002831213,0.000002697468,0.000087431545,0.0000021747244,2.2455269e-7,0.000017382868,0.0000026035648],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981414,0.00022145319,0.0008687971,0.00012914541,0.0004480201,0.00019115767],"domain_scores_gemma":[0.99761486,0.0012246554,0.00045461196,0.00020184927,0.00047279208,0.000031239837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030950876,0.00015809863,0.00049737317,0.00040286392,0.00022506982,0.000048533217,0.00027183097,0.0002928295,6.119329e-7],"category_scores_gemma":[0.0006636651,0.00012513893,0.000083801504,0.0004760632,0.000114156464,0.00007109868,0.00014761502,0.00047821907,9.0033915e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007336613,0.00019857366,0.000008359393,0.00014194759,0.000092180846,0.0000014444053,0.000570431,0.43047392,0.0098172985,0.55709976,0.000010509742,0.0008519436],"study_design_scores_gemma":[0.002188519,0.0002358174,0.00004387188,0.0010049376,0.000034974903,0.0000054480765,0.0003794464,0.7249882,0.0024439779,0.26859763,0.0000010477571,0.00007609313],"about_ca_topic_score_codex":0.0000029764744,"about_ca_topic_score_gemma":4.458507e-7,"teacher_disagreement_score":0.29451433,"about_ca_system_score_codex":0.00013844126,"about_ca_system_score_gemma":0.00012176516,"threshold_uncertainty_score":0.51030177},"labels":[],"label_agreement":null},{"id":"W4409603848","doi":"10.61091/jcmcc127b-169","title":"Artificial Intelligence Based Analysis System for Standard Energy Meter Current Measurement Module","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electricity meter; Current meter; Current (fluid); Computer science; Metre; Electrical engineering; Engineering; Physics","score_opus":0.024219649015614002,"score_gpt":0.25610071838947646,"score_spread":0.23188106937386246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603848","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025037764,0.0014578238,0.89464027,0.00003239248,0.078206964,0.0002475111,0.00000921041,0.00008320366,0.00028487493],"genre_scores_gemma":[0.99507636,0.000014667905,0.002525,0.0000049889586,0.0023402714,0.000008612467,0.0000019950764,0.000027273858,8.381859e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99725854,0.00008356954,0.0014485194,0.00018638703,0.000710448,0.0003125458],"domain_scores_gemma":[0.9978142,0.0004537257,0.00045011952,0.00024370944,0.0009008349,0.00013743076],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021914004,0.00029415276,0.0010048014,0.0005299796,0.00018905733,0.0002294793,0.0003185024,0.000124295,0.0000019586357],"category_scores_gemma":[0.00018158523,0.00026577318,0.0004160569,0.00069106306,0.000032773423,0.000089640635,0.000056361674,0.0002383815,4.392855e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019606747,0.00027194145,0.00012218264,0.0017833484,0.001644512,0.0000052810374,0.0003085333,0.013738332,0.00044175086,0.9703143,0.0013447044,0.009829046],"study_design_scores_gemma":[0.002281195,0.00067350245,0.000021931275,0.0019850123,0.0022607269,0.000010165368,0.00044472518,0.7737439,0.029097458,0.17707539,0.011711028,0.0006949568],"about_ca_topic_score_codex":0.000004482266,"about_ca_topic_score_gemma":0.0000013221093,"teacher_disagreement_score":0.9700386,"about_ca_system_score_codex":0.00032607658,"about_ca_system_score_gemma":0.00014001156,"threshold_uncertainty_score":0.99997944},"labels":[],"label_agreement":null},{"id":"W4409603849","doi":"10.61091/jcmcc127b-161","title":"Research on Consistency Assurance Mechanism of Distributed Database Based on Blockchain Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Consistency (knowledge bases); Database; Distributed database; Data consistency; Computer science; Mechanism (biology); Computer security; Artificial intelligence","score_opus":0.026905593144323964,"score_gpt":0.31313033627667775,"score_spread":0.2862247431323538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603849","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3474028,0.0004336334,0.6164535,0.0057928693,0.02595692,0.0011304673,0.00011369273,0.00019404387,0.0025220602],"genre_scores_gemma":[0.9838456,0.000011643449,0.015867498,0.000053046406,0.00019766991,0.000003970379,0.0000035023725,0.000014350531,0.0000027450878],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99631274,0.0003471638,0.0012736262,0.0003919082,0.0012096342,0.00046491387],"domain_scores_gemma":[0.99286664,0.0036416936,0.0008825868,0.001003118,0.0014553358,0.00015062303],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0041991165,0.00027603246,0.0008109664,0.0012047382,0.0004856601,0.00017652799,0.0016386504,0.00024174598,0.000002189138],"category_scores_gemma":[0.002864428,0.00025888384,0.0001549797,0.0022400657,0.00025756026,0.00011486869,0.00073767436,0.0011116398,0.0000023940006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070184535,0.0011947735,0.000016136757,0.00017978167,0.000055436558,0.000031474858,0.000101438265,0.00018666878,0.00070997875,0.9963906,0.00070694875,0.00035662405],"study_design_scores_gemma":[0.0037809375,0.0014057284,0.000020519366,0.0016968886,0.00003807555,0.000023083034,0.00020472388,0.14047734,0.0060925307,0.8456717,0.0003737453,0.0002147148],"about_ca_topic_score_codex":0.000008451777,"about_ca_topic_score_gemma":8.363309e-7,"teacher_disagreement_score":0.6364428,"about_ca_system_score_codex":0.00016829124,"about_ca_system_score_gemma":0.00064322766,"threshold_uncertainty_score":0.99998635},"labels":[],"label_agreement":null},{"id":"W4409603854","doi":"10.61091/jcmcc127b-172","title":"Research on matrix decomposition-based optimization method for high-dimensional rehabilitation data during sports for disabled people","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Southern Power Grid","keywords":"Decomposition; Rehabilitation; Matrix (chemical analysis); Computer science; Psychology; Physical medicine and rehabilitation; Physical therapy; Medicine; Materials science","score_opus":0.027201019197010585,"score_gpt":0.4151077658422372,"score_spread":0.3879067466452266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603854","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18318784,0.00007464157,0.8013352,0.0020839684,0.011724596,0.0013298858,0.000015608814,0.000059415026,0.00018881864],"genre_scores_gemma":[0.63375145,0.000004902807,0.365033,0.000014699886,0.0011343836,0.000010618269,0.000015294905,0.000020793017,0.000014880972],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969677,0.00038649116,0.0009421255,0.0003666936,0.0009121711,0.00042485306],"domain_scores_gemma":[0.9866843,0.01045599,0.0006920016,0.00032934744,0.0017028113,0.00013555205],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008257473,0.00019430034,0.00057867914,0.0004002142,0.0017406571,0.00024606488,0.000537972,0.00017178625,0.0000031046372],"category_scores_gemma":[0.0033659881,0.00019104259,0.00012971742,0.00063448295,0.00010852235,0.00022379687,0.00016426061,0.00034313533,1.926483e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056386756,0.0006431969,0.00005627157,0.00033759937,0.000056899546,0.000001549983,0.0007515469,0.078139454,0.000080390855,0.9171199,0.00038111088,0.0018681766],"study_design_scores_gemma":[0.005127861,0.00063496816,0.00006851062,0.0007504887,0.00007836383,0.0000018860668,0.00088501273,0.36948228,0.00019791255,0.6223058,0.00028169458,0.00018523411],"about_ca_topic_score_codex":0.00003551689,"about_ca_topic_score_gemma":0.000002587261,"teacher_disagreement_score":0.4505636,"about_ca_system_score_codex":0.00024831013,"about_ca_system_score_gemma":0.0005285938,"threshold_uncertainty_score":0.9995589},"labels":[],"label_agreement":null},{"id":"W4409603855","doi":"10.61091/jcmcc127b-176","title":"Research on AIGC-based Supply Chain Inventory Demand Forecasting Model and Nonlinear Optimization Strategy","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Supply chain; Demand forecasting; Nonlinear system; Operations research; Computer science; Economics; Business; Engineering; Marketing; Physics","score_opus":0.035557678767822745,"score_gpt":0.2920571430530928,"score_spread":0.2564994642852701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603855","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29985684,0.0004732341,0.6921798,0.00006633243,0.0044068606,0.00036273833,0.0000038160774,0.000098661214,0.0025517307],"genre_scores_gemma":[0.96992105,0.000080059675,0.029589731,0.000012466205,0.00035085186,0.0000023768798,0.000002873512,0.000034161174,0.000006441264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983414,0.00008177263,0.0006874383,0.00017324557,0.0004140399,0.00030209727],"domain_scores_gemma":[0.99838066,0.00068391085,0.0002404069,0.00015309406,0.00042074945,0.0001211553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015101972,0.00022522909,0.00043144802,0.00043460168,0.00030275487,0.00018640327,0.00017741838,0.00017111031,0.0000013819714],"category_scores_gemma":[0.00036190214,0.00021810397,0.00005754445,0.00029043818,0.00008952776,0.00012932344,0.000078144025,0.0006292583,2.2195448e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005035783,0.000108266744,0.000016069167,0.0002878434,0.00003325756,0.000006499653,0.00012486622,0.8662732,0.000043040935,0.13242033,0.00006503663,0.00057120295],"study_design_scores_gemma":[0.0019198348,0.0002511711,0.0000054194184,0.00048568245,0.000032612417,0.000007591286,0.00013944229,0.84545964,0.0005116772,0.15101662,0.000020563495,0.00014973122],"about_ca_topic_score_codex":0.0000018845717,"about_ca_topic_score_gemma":2.2193983e-7,"teacher_disagreement_score":0.6700642,"about_ca_system_score_codex":0.00012074557,"about_ca_system_score_gemma":0.00011021083,"threshold_uncertainty_score":0.8894022},"labels":[],"label_agreement":null},{"id":"W4409603858","doi":"10.61091/jcmcc127b-151","title":"Construction of a Dynamic Early Warning Model for Cyanobacterial Blooms in Lake Taihu Combining Long-Time-Series Satellite Remote Sensing Data and Computational Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Warning system; Remote sensing; Series (stratigraphy); Environmental science; Satellite; Time series; Computer science; Meteorology; Geography; Machine learning; Telecommunications; Geology; Engineering","score_opus":0.014641808097654143,"score_gpt":0.24983130536403944,"score_spread":0.2351894972663853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8896709,0.00029076418,0.10606045,0.00007522291,0.0035290725,0.00022418716,0.000022436778,0.000015431937,0.00011153168],"genre_scores_gemma":[0.92202765,0.0001167255,0.07764174,0.0000085957545,0.00016178901,1.820041e-8,0.00002944311,0.000008974261,0.0000050712447],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99789375,0.00011563641,0.0011379062,0.0002688918,0.00031890834,0.0002649307],"domain_scores_gemma":[0.99750245,0.0010465047,0.0008401471,0.00020155676,0.00031649173,0.00009286542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016023847,0.0002272892,0.00071021775,0.00028251426,0.00021958757,0.00020474385,0.0002635127,0.0001451087,0.000002544957],"category_scores_gemma":[0.0004700958,0.00020832794,0.00007220352,0.0002772245,0.00018265413,0.00030507505,0.000103238744,0.00031668018,3.2784172e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029209733,0.0003463483,0.016922984,0.002143664,0.0005888788,0.000069188965,0.007979935,0.0370458,0.0004993387,0.05174107,0.000021085409,0.87972075],"study_design_scores_gemma":[0.0015282857,0.00027642254,0.0018274643,0.0008088301,0.000070687434,0.00007834983,0.00019307973,0.75196177,0.000051857787,0.24302948,0.000021446956,0.00015231567],"about_ca_topic_score_codex":0.00004440625,"about_ca_topic_score_gemma":0.000052765583,"teacher_disagreement_score":0.8795684,"about_ca_system_score_codex":0.000013830037,"about_ca_system_score_gemma":0.00017861916,"threshold_uncertainty_score":0.84953666},"labels":[],"label_agreement":null},{"id":"W4409603864","doi":"10.61091/jcmcc127b-165","title":"Deep learning-based anomaly detection and fault prediction method for permanent magnet fast ring network cabinet","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cabinet (room); Anomaly detection; Magnet; Anomaly (physics); Fault (geology); Artificial intelligence; Deep learning; Computer science; Ring (chemistry); Real-time computing; Seismology; Geology; Electrical engineering; Engineering; Physics; Mechanical engineering; Condensed matter physics","score_opus":0.005907813312833942,"score_gpt":0.22845481095922032,"score_spread":0.22254699764638639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603864","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27296674,0.0012429579,0.6647168,0.000037094127,0.059802014,0.0004923884,0.0000026330592,0.00013715903,0.0006021962],"genre_scores_gemma":[0.98948115,0.000031529027,0.0062443595,0.000010238476,0.004176145,0.000008071332,0.0000025637596,0.00003765269,0.0000082623665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998282,0.00010200944,0.0008714702,0.00017203596,0.0002649073,0.00030757493],"domain_scores_gemma":[0.9984039,0.0007169927,0.00035983263,0.0001228516,0.0002777041,0.00011873311],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00142369,0.0002638354,0.00060248247,0.00019313693,0.00030982654,0.00020073056,0.00014322114,0.00018576266,0.0000016236417],"category_scores_gemma":[0.00017064836,0.00025706113,0.0001305859,0.00024595912,0.000028143115,0.00011881414,0.00005653469,0.00043233158,3.2114033e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008441609,0.0006751816,0.005873743,0.007085138,0.0013652648,0.00003264681,0.0042423834,0.70801044,0.0067750355,0.22939876,0.0033563166,0.03234094],"study_design_scores_gemma":[0.004335163,0.0006970766,0.00047236882,0.00052053074,0.00018950987,0.000051652358,0.0002517319,0.96823174,0.0006908346,0.01876901,0.0055424506,0.00024795474],"about_ca_topic_score_codex":0.000007523516,"about_ca_topic_score_gemma":0.0000018446623,"teacher_disagreement_score":0.7165144,"about_ca_system_score_codex":0.000097373166,"about_ca_system_score_gemma":0.000037575835,"threshold_uncertainty_score":0.99998814},"labels":[],"label_agreement":null},{"id":"W4409603865","doi":"10.61091/jcmcc127b-166","title":"Optimized design study of permanent magnet switch using deep learning fused with finite element analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Finite element method; Magnet; Computer science; Engineering; Electrical engineering; Structural engineering","score_opus":0.01205096754999707,"score_gpt":0.2364210251762149,"score_spread":0.22437005762621784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55815774,0.00029408038,0.44015568,0.0000050788044,0.00094182976,0.00028590258,2.8612823e-7,0.000033428514,0.00012597167],"genre_scores_gemma":[0.9773625,0.00004683575,0.022390973,0.0000030963408,0.00015746044,0.0000026274986,9.4319785e-7,0.000030228031,0.000005311241],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99725884,0.00022802933,0.0013485659,0.00019553021,0.00065404933,0.00031500228],"domain_scores_gemma":[0.99759936,0.00080680044,0.00076502917,0.00022650235,0.00048565713,0.00011667315],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015511949,0.00032546424,0.0012996357,0.0008537002,0.00020129845,0.00013901285,0.000309661,0.000105951156,0.000010900233],"category_scores_gemma":[0.00013957049,0.00027698345,0.00022753573,0.0016927377,0.000032391938,0.000108391025,0.00007981446,0.00048285653,2.0681166e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003024946,0.0013275186,0.0017956399,0.00031659243,0.0054263403,0.00004342018,0.0029075067,0.9762556,0.0010315784,0.008082162,0.000017167173,0.0024940118],"study_design_scores_gemma":[0.0069943825,0.0014939351,0.00012970903,0.00019984414,0.0035166643,0.000008483586,0.0010645554,0.97938126,0.0005383707,0.0063813273,0.000011570776,0.00027991703],"about_ca_topic_score_codex":0.000018205043,"about_ca_topic_score_gemma":7.6379575e-7,"teacher_disagreement_score":0.41920477,"about_ca_system_score_codex":0.00012656095,"about_ca_system_score_gemma":0.00007690671,"threshold_uncertainty_score":0.99996823},"labels":[],"label_agreement":null},{"id":"W4409603866","doi":"10.61091/jcmcc127b-156","title":"Research on Phishing Attack Recognition Mechanism Based on Improved Decision Tree Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Phishing; Decision tree; Computer science; Mechanism (biology); Decision tree learning; Data mining; Algorithm; Computer security; The Internet; World Wide Web","score_opus":0.04212197121351827,"score_gpt":0.3245768760542161,"score_spread":0.2824549048406978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603866","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18579595,0.00008006115,0.76774234,0.00069782074,0.041769072,0.0005347795,0.0000021494404,0.00012912789,0.003248708],"genre_scores_gemma":[0.943232,0.000016129483,0.05540091,0.00013542773,0.001175535,0.0000044404674,0.0000010893918,0.000025827674,0.000008664415],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963457,0.00038395077,0.0010427315,0.00044341627,0.0013264138,0.00045779298],"domain_scores_gemma":[0.9937249,0.0037585166,0.00068979687,0.0005223961,0.0011126419,0.00019176796],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0061085317,0.00030978073,0.0006142955,0.0010281894,0.00071918423,0.00091757986,0.0010156385,0.0002846102,0.0000033467236],"category_scores_gemma":[0.0012318803,0.00027790907,0.00021050112,0.0012056753,0.00005907926,0.00041293164,0.00031629487,0.0012725423,0.0000076687475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000314743,0.0011942358,0.0000052047358,0.00011816985,0.000075479955,0.000037482947,0.00045414636,0.0002812407,0.0007177556,0.7375246,0.0009309154,0.25834602],"study_design_scores_gemma":[0.0034731554,0.0019569946,0.000024569585,0.0010574665,0.000024386058,0.000014457755,0.000085401894,0.36720958,0.004020024,0.621653,0.00028236568,0.00019860097],"about_ca_topic_score_codex":0.0000106712405,"about_ca_topic_score_gemma":5.465236e-7,"teacher_disagreement_score":0.75743604,"about_ca_system_score_codex":0.00028557584,"about_ca_system_score_gemma":0.00026386924,"threshold_uncertainty_score":0.99996734},"labels":[],"label_agreement":null},{"id":"W4409603870","doi":"10.61091/jcmcc127b-180","title":"Research on Intelligent Calculation Method of Building Cost Management Supported by BIM Based Multi-Intelligent Body System","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Systems engineering; Engineering management; Engineering","score_opus":0.03274313730614317,"score_gpt":0.3347958500830959,"score_spread":0.3020527127769528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603870","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.105341695,0.0003896308,0.8752734,0.00007310267,0.01624455,0.0011671763,0.00000633627,0.00013855645,0.001365567],"genre_scores_gemma":[0.9929168,0.000021158408,0.0067106728,0.0000053850204,0.00028814396,0.000011592193,0.0000023020002,0.00003384206,0.0000100583375],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99670255,0.0003152798,0.0016185201,0.00022296743,0.0007282413,0.00041245736],"domain_scores_gemma":[0.9973625,0.0010397086,0.0005584482,0.00031679223,0.00060773693,0.000114837865],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0048523503,0.00029037526,0.00088529737,0.0008037427,0.00023356383,0.000100423465,0.00046356765,0.00037419217,0.0000026158473],"category_scores_gemma":[0.00019897328,0.00027065352,0.00018349454,0.0007733208,0.000072508155,0.00006862817,0.00012162072,0.00088005513,0.0000014832424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017221521,0.00049315946,0.000051222232,0.0011230726,0.00047073557,0.00002358174,0.00011666272,0.007066294,0.0035621002,0.9799574,0.0006290375,0.0063345055],"study_design_scores_gemma":[0.009156088,0.0009265192,0.000032565433,0.004679623,0.00033552916,0.000029523831,0.0019528916,0.80941933,0.120880455,0.049411587,0.0026868633,0.0004890104],"about_ca_topic_score_codex":0.000014207906,"about_ca_topic_score_gemma":2.035074e-7,"teacher_disagreement_score":0.9305458,"about_ca_system_score_codex":0.00042093877,"about_ca_system_score_gemma":0.00007843578,"threshold_uncertainty_score":0.99997455},"labels":[],"label_agreement":null},{"id":"W4409603871","doi":"10.61091/jcmcc127b-155","title":"Research on image segmentation algorithms combining gradient field and variational methods","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Artificial intelligence; Image (mathematics); Image segmentation; Computer science; Algorithm; Segmentation; Computer vision; Pattern recognition (psychology); Mathematics; Pure mathematics","score_opus":0.022142685888848344,"score_gpt":0.3452492353737578,"score_spread":0.32310654948490947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7492328,0.00083699846,0.21593696,0.00071740744,0.02463463,0.0005890271,0.0000027009505,0.0001603079,0.007889138],"genre_scores_gemma":[0.9504634,0.00005144886,0.04901905,0.000021635868,0.00041189423,0.000004273766,7.762301e-7,0.000020589823,0.0000069380494],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99821115,0.00017029021,0.0007686082,0.00016149519,0.00040296032,0.00028550453],"domain_scores_gemma":[0.99702,0.0021805244,0.00018821299,0.00015013847,0.00035500756,0.000106117695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002829078,0.00018471386,0.0004935601,0.0004070999,0.00024945333,0.00019413535,0.00020390087,0.00019706067,0.0000048033344],"category_scores_gemma":[0.00044366257,0.00016725592,0.00006778116,0.0004103484,0.00007852898,0.00011733654,0.00013731928,0.0007438333,0.0000011551812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003192009,0.0001725368,0.00003759251,0.00023998099,0.00012259517,0.000009460212,0.000373343,0.00013356628,0.001932327,0.9864744,0.00052643317,0.009945861],"study_design_scores_gemma":[0.0038109461,0.0012337958,0.0001702412,0.0007076036,0.000074711716,0.000047457495,0.0011175943,0.10325617,0.008043891,0.8800943,0.0011736493,0.00026965645],"about_ca_topic_score_codex":0.0000070135575,"about_ca_topic_score_gemma":1.5503602e-7,"teacher_disagreement_score":0.20123056,"about_ca_system_score_codex":0.00010626947,"about_ca_system_score_gemma":0.000044443033,"threshold_uncertainty_score":0.6820499},"labels":[],"label_agreement":null},{"id":"W4409604891","doi":"10.61091/jcmcc127b-323","title":"Study on Improving Transmission Line Hazard Monitoring Using AdaBoost Algorithm in Multi-dimensional Data Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Southern Power Grid; Electric Power Research Institute","keywords":"AdaBoost; Computer science; Artificial intelligence; Line (geometry); Algorithm; Hazard; Data mining; Pattern recognition (psychology); Mathematics; Support vector machine","score_opus":0.030973443405717647,"score_gpt":0.28466831154831745,"score_spread":0.2536948681425998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8411844,0.0009773737,0.14511538,0.000015937983,0.0120602045,0.0005382088,0.000004986885,0.00005119256,0.000052362095],"genre_scores_gemma":[0.9812904,0.000024195737,0.01797517,0.0000035858952,0.0006595353,0.00000150997,0.0000014332536,0.00004098372,0.0000032061719],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974561,0.0001030978,0.0012604661,0.00028267532,0.00056746823,0.0003302107],"domain_scores_gemma":[0.99863434,0.00039970584,0.0003448528,0.0003938048,0.000101150195,0.00012613503],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011998776,0.0003347426,0.0008017518,0.00030071553,0.00017826485,0.000109363355,0.00043870398,0.00013883771,0.0000011263315],"category_scores_gemma":[0.000099506666,0.00030809408,0.00008481068,0.00022772486,0.000027642353,0.00021964124,0.00020428021,0.0006409462,6.8668777e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011482779,0.015522525,0.0076759346,0.002256759,0.0021427267,0.0013196979,0.010291175,0.5071684,0.0900926,0.024026712,0.000093146555,0.33826202],"study_design_scores_gemma":[0.011222896,0.0006135156,0.0005987133,0.0012614357,0.0001505888,0.000036117424,0.0012621019,0.97470117,0.001714884,0.007912447,0.00011562416,0.00041050708],"about_ca_topic_score_codex":0.000011170969,"about_ca_topic_score_gemma":2.7349498e-7,"teacher_disagreement_score":0.46753272,"about_ca_system_score_codex":0.00022166809,"about_ca_system_score_gemma":0.00006336793,"threshold_uncertainty_score":0.9999371},"labels":[],"label_agreement":null},{"id":"W4409604893","doi":"10.61091/jcmcc127b-320","title":"Computational and Risk Assessment Modeling of Bridge Inspection Data Enabled by Sensors and Monitoring Systems","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Computer science; Risk assessment; Structural health monitoring; Reliability engineering; Risk analysis (engineering); Systems engineering; Engineering; Computer security; Business; Medicine; Electrical engineering","score_opus":0.012062833367334585,"score_gpt":0.26095293532339026,"score_spread":0.24889010195605568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90710396,0.001298253,0.0801565,0.000011108427,0.011006686,0.00016523621,0.0000104847095,0.000044790635,0.00020300929],"genre_scores_gemma":[0.99388134,0.00050550007,0.0049413457,9.516178e-7,0.00064289663,9.009814e-7,0.000002852329,0.000022967084,0.0000012341425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982965,0.0000690547,0.0009011537,0.00018093348,0.00034319886,0.00020917211],"domain_scores_gemma":[0.9985325,0.0004096101,0.00043481824,0.00018792295,0.00034723768,0.00008794457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001258682,0.00022237537,0.0005990173,0.00018814523,0.00022039196,0.0001943299,0.00020053882,0.00012123947,1.9721693e-7],"category_scores_gemma":[0.00017859587,0.00021258793,0.000039538205,0.00017470693,0.00005368112,0.00027748736,0.00021589114,0.0004519926,5.1469502e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018587233,0.00044741487,0.028342651,0.0048464043,0.0019881136,0.000028344195,0.0033797042,0.6118219,0.0038382688,0.33533758,0.0009404523,0.0088432925],"study_design_scores_gemma":[0.002059037,0.00010787614,0.00072937715,0.0008122303,0.00015930613,0.000038632723,0.00058697583,0.93898433,0.00023685102,0.05604967,0.000054523676,0.00018119728],"about_ca_topic_score_codex":0.000037923648,"about_ca_topic_score_gemma":1.078349e-7,"teacher_disagreement_score":0.3271624,"about_ca_system_score_codex":0.000087785105,"about_ca_system_score_gemma":0.0000581482,"threshold_uncertainty_score":0.86690843},"labels":[],"label_agreement":null},{"id":"W4409604894","doi":"10.61091/jcmcc127b-329","title":"Co-optimization Research on Digitalization of Enterprise Human Resource Management and Integrated Construction of Measurement and Training Based on Optimization Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Human Resources and Workforce","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Computer science; Human resource management; Human resources; Optimization algorithm; Human resource management system; Engineering management; Knowledge management; Industrial engineering; Systems engineering; Manufacturing engineering; Engineering; Mathematical optimization; Mathematics; Management","score_opus":0.0426263234522589,"score_gpt":0.3310312671079754,"score_spread":0.2884049436557165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4733299,0.00033934726,0.47952285,0.00045390453,0.003956573,0.0017891049,0.000009762662,0.000063813786,0.040534742],"genre_scores_gemma":[0.98933244,0.000055400134,0.0104308855,0.000010011968,0.0001441698,0.000001594048,0.000003214635,0.000012394324,0.000009911387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975188,0.00035187064,0.0007704752,0.00016889704,0.0010047425,0.00018525583],"domain_scores_gemma":[0.9978782,0.00045232743,0.0007050279,0.00011340932,0.0007623915,0.0000886595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003565415,0.00014175614,0.00041166233,0.00051277154,0.000515302,0.00016511932,0.0001494819,0.00011860944,0.0000045142847],"category_scores_gemma":[0.00034141287,0.00013324844,0.000054908138,0.00044667706,0.00031563643,0.00009509519,0.000047034373,0.00023663313,3.5194212e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022581048,0.0005095897,0.0003005527,0.0003612784,0.00011569178,0.0000031781892,0.0063578337,0.035335843,0.00003102317,0.94187677,0.00009829414,0.014784164],"study_design_scores_gemma":[0.016832665,0.004638128,0.00030503483,0.012322907,0.00038739594,0.000007781655,0.049737427,0.6542447,0.0010920331,0.25708416,0.0026608938,0.00068684673],"about_ca_topic_score_codex":0.000017543969,"about_ca_topic_score_gemma":6.152956e-7,"teacher_disagreement_score":0.6847926,"about_ca_system_score_codex":0.00013073535,"about_ca_system_score_gemma":0.00010318945,"threshold_uncertainty_score":0.5433714},"labels":[],"label_agreement":null},{"id":"W4409604895","doi":"10.61091/jcmcc127b-266","title":"Construction of a comprehensive measurement model for financial talent training quality under the OBE concept","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Training (meteorology); Business; Computer science; Finance; Geography","score_opus":0.05728894440785566,"score_gpt":0.2796332420520172,"score_spread":0.22234429764416153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87041914,0.0004239308,0.1161212,0.00073958747,0.009878267,0.0008976404,0.0000032303162,0.00003336307,0.0014836387],"genre_scores_gemma":[0.9970537,0.000008243228,0.0013883434,0.00024396279,0.0012719135,0.0000061645096,0.0000015890539,0.000017298042,0.000008794858],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99748266,0.00004102815,0.0012839307,0.00019140606,0.0007281888,0.00027280912],"domain_scores_gemma":[0.996394,0.0003748249,0.0016529529,0.00020981557,0.0013445368,0.00002388002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019543911,0.0002480095,0.0007228107,0.00023676698,0.0004170052,0.00022617432,0.00038000575,0.00010236225,0.0000039722536],"category_scores_gemma":[0.000366578,0.00019342787,0.00028114853,0.00028917243,0.00019166428,0.00022889831,0.00024783984,0.00026726478,5.063591e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014199775,0.00025971996,0.000044963544,0.00064169575,0.0001664983,9.743892e-7,0.0006365706,0.0017242864,0.00018620599,0.9935024,0.00061938976,0.0020753138],"study_design_scores_gemma":[0.006198615,0.00012205291,0.00029702394,0.000705658,0.0003880237,0.0000039998213,0.004917783,0.0711456,0.00013494231,0.9128347,0.0029879208,0.00026370515],"about_ca_topic_score_codex":0.000015912896,"about_ca_topic_score_gemma":0.0000018263759,"teacher_disagreement_score":0.12663455,"about_ca_system_score_codex":0.00008203029,"about_ca_system_score_gemma":0.00016284462,"threshold_uncertainty_score":0.788776},"labels":[],"label_agreement":null},{"id":"W4409604896","doi":"10.61091/jcmcc127b-270","title":"Research on blended online and offline teaching methods for physical education courses based on fuzzy neural networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Online and offline; Computer science; Artificial neural network; Fuzzy logic; Mathematics education; Physical education; Artificial intelligence; Multimedia; Machine learning; Psychology","score_opus":0.050527161487136346,"score_gpt":0.44764374837891263,"score_spread":0.3971165868917763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53021795,0.00057611644,0.4293149,0.008197488,0.029145312,0.00079118303,0.0000026763696,0.00009805906,0.0016563031],"genre_scores_gemma":[0.9172791,0.000011390869,0.08098972,0.00020759895,0.0014734806,0.0000074819027,0.0000024912426,0.00001446603,0.0000142316585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99785405,0.00049157493,0.0006213217,0.00031536256,0.00039113863,0.00032657073],"domain_scores_gemma":[0.9914981,0.0068505174,0.00046041072,0.00033917464,0.0007305618,0.00012122532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040190034,0.00022567458,0.00053952675,0.00055751065,0.0005823025,0.00022610038,0.00066086,0.00018875809,4.17189e-7],"category_scores_gemma":[0.0013580116,0.00019662669,0.000115439274,0.0004227748,0.00012717626,0.00015200043,0.00020955103,0.0011963563,1.9437933e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001230746,0.0018258478,0.00002924444,0.000090996924,0.00003800581,0.0000010579064,0.00023941271,0.0006815002,0.000068386595,0.94148576,0.00044113412,0.054975588],"study_design_scores_gemma":[0.0014259384,0.0013269122,0.000093442715,0.00031380562,0.000028743456,0.000009843042,0.0002462605,0.42234507,0.0002059525,0.5731964,0.000689517,0.000118080134],"about_ca_topic_score_codex":0.000003657202,"about_ca_topic_score_gemma":1.981506e-7,"teacher_disagreement_score":0.42166358,"about_ca_system_score_codex":0.000091338436,"about_ca_system_score_gemma":0.0005517293,"threshold_uncertainty_score":0.80182034},"labels":[],"label_agreement":null},{"id":"W4409604898","doi":"10.61091/jcmcc127b-264","title":"An application of Web-based college online English teaching platform","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"World Wide Web; Computer science; College English; Multimedia; Mathematics education; Psychology","score_opus":0.010055966501527147,"score_gpt":0.29213813646493253,"score_spread":0.2820821699634054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7286806,0.000113693044,0.26007476,0.0004909778,0.0094712665,0.0002553103,0.000004433725,0.00008489658,0.0008240577],"genre_scores_gemma":[0.9305609,0.000004515967,0.06897809,0.00003953887,0.00040101563,0.0000024013877,0.0000021826759,0.000008829649,0.0000025214458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980826,0.000086615066,0.0009872646,0.00021084475,0.0004338867,0.00019880019],"domain_scores_gemma":[0.99704194,0.0006907382,0.0010024129,0.0004088881,0.0007623636,0.000093671784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001692329,0.00018803963,0.0005186951,0.00036543264,0.00024667027,0.0000923482,0.0010062982,0.0001704935,8.1841307e-7],"category_scores_gemma":[0.00038517223,0.00017467569,0.00010735449,0.0004406975,0.00007711932,0.0003578172,0.00018322986,0.00053645775,2.1101867e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019672296,0.0014625222,0.0004965288,0.0001099772,0.000047402093,0.0000021180847,0.00035350575,0.00008866811,0.0008586981,0.9923895,0.00011711824,0.0040542777],"study_design_scores_gemma":[0.0034103342,0.0006558231,0.0004048168,0.00034054002,0.000053681964,0.000010714209,0.00052586553,0.15397269,0.002385088,0.83687896,0.001165293,0.0001961771],"about_ca_topic_score_codex":0.00000508036,"about_ca_topic_score_gemma":4.6176586e-7,"teacher_disagreement_score":0.2018803,"about_ca_system_score_codex":0.00008840539,"about_ca_system_score_gemma":0.00051678787,"threshold_uncertainty_score":0.7123068},"labels":[],"label_agreement":null},{"id":"W4409604899","doi":"10.61091/jcmcc127b-300","title":"Research on the Path of Enhancing the Effect of Digital Educational Resources Integration Strategy on Civic and Political Education of College Students Based on Multidimensional Data Fusion and Optimization Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Mathematics education; Politics; Computer science; Political education; Fusion; Sociology; Political science; Psychology","score_opus":0.028595263347137124,"score_gpt":0.3773430979664256,"score_spread":0.3487478346192885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939456,0.0000613199,0.0005831613,0.0017441466,0.0017527189,0.0004249613,0.000014744996,0.0000030348065,0.0014702897],"genre_scores_gemma":[0.9991127,0.000012017471,0.00045649786,0.000027997201,0.0003649756,0.000002806769,0.000006326149,0.0000053544077,0.000011315256],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973445,0.0007269954,0.00064575387,0.00015710494,0.00094704167,0.00017858349],"domain_scores_gemma":[0.9881099,0.010521536,0.0004539206,0.00018448528,0.00064386794,0.000086301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045150216,0.000120851415,0.00032527803,0.00018476219,0.00043205652,0.00009552834,0.00032317222,0.00010841996,0.0000057848424],"category_scores_gemma":[0.0039408593,0.00007087694,0.000044061868,0.00033815613,0.0004509016,0.00010299687,0.00014781096,0.00034498976,1.4221584e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017368278,0.0007621237,0.00039638722,0.00009498911,0.0000224296,1.7094135e-7,0.0008825434,0.00010463261,0.0000480271,0.99505705,0.00009476913,0.002363209],"study_design_scores_gemma":[0.0043610297,0.007860261,0.008039004,0.0047603226,0.0002114578,0.0000052340574,0.020850753,0.06628446,0.0034379682,0.88371176,0.0001785777,0.00029920216],"about_ca_topic_score_codex":0.00007800056,"about_ca_topic_score_gemma":0.0000012575189,"teacher_disagreement_score":0.111345306,"about_ca_system_score_codex":0.00007214737,"about_ca_system_score_gemma":0.0004828895,"threshold_uncertainty_score":0.47178617},"labels":[],"label_agreement":null},{"id":"W4409604900","doi":"10.61091/jcmcc127b-318","title":"Research on Teaching Reform Supported by Multi-Objective Optimization Algorithm for the Process of Civicization of Yoga Courses in Universities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Optimization algorithm; Computer science; Mathematics education; Medical education; Psychology; Algorithm; Medicine; Mathematical optimization; Mathematics","score_opus":0.02931367603437036,"score_gpt":0.3842215978447769,"score_spread":0.35490792181040653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86683905,0.00026771642,0.11420617,0.0015177256,0.008066029,0.001192924,0.00001534664,0.000018768083,0.007876286],"genre_scores_gemma":[0.9975096,0.00003120826,0.0021878346,0.000011059254,0.00021272831,0.0000036554595,0.000001913585,0.000005496515,0.00003649892],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983465,0.0002995719,0.00057860964,0.000096579395,0.00047132868,0.00020740613],"domain_scores_gemma":[0.99543965,0.0026675416,0.00051206816,0.00007325756,0.0012600012,0.000047479265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039805383,0.00008912558,0.0003284911,0.00023549888,0.0004482463,0.00004573586,0.0002567042,0.00012887394,0.000004715943],"category_scores_gemma":[0.0011361889,0.000066302804,0.00006358473,0.00043601566,0.00028605878,0.00012978581,0.000045199406,0.00034653163,5.826896e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008305666,0.0007052956,0.00009063795,0.00011737237,0.000038165006,3.274162e-7,0.009285418,0.0006946112,0.00002063133,0.987151,0.00009150962,0.0017219377],"study_design_scores_gemma":[0.0059911115,0.0015776784,0.0003738192,0.0013748653,0.0001406923,0.000001457601,0.20508589,0.122581944,0.0025705004,0.65947783,0.00059040805,0.00023377572],"about_ca_topic_score_codex":0.00038949016,"about_ca_topic_score_gemma":0.0000046613836,"teacher_disagreement_score":0.3276732,"about_ca_system_score_codex":0.00024696733,"about_ca_system_score_gemma":0.0005371298,"threshold_uncertainty_score":0.34475937},"labels":[],"label_agreement":null},{"id":"W4409604902","doi":"10.61091/jcmcc127b-340","title":"Heat conduction analysis and performance prediction of metallurgical materials based on finite element method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Finite element method; Thermal conduction; Materials science; Metallurgy; Mechanical engineering; Composite material; Engineering; Structural engineering","score_opus":0.012349315665010348,"score_gpt":0.24967738626597646,"score_spread":0.2373280706009661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88839895,0.00007815378,0.101021975,0.000021108945,0.009811573,0.0001683211,0.0000059909034,0.00003320361,0.00046073948],"genre_scores_gemma":[0.9938714,0.0000639266,0.005772199,0.0000083849245,0.00025835686,0.0000022354793,0.0000043168725,0.000014791177,0.00000439346],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981656,0.00010211585,0.001079586,0.00013742255,0.00033579252,0.00017948153],"domain_scores_gemma":[0.9988796,0.0004432891,0.0002461851,0.00015438268,0.00019937521,0.00007712792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017989049,0.00021560854,0.0008386204,0.0004868588,0.000120161574,0.00009279628,0.0001272788,0.00013499225,0.000022286069],"category_scores_gemma":[0.00013675619,0.00018718158,0.00012987736,0.00042832718,0.000042344895,0.00015725126,0.000057987705,0.00020099578,2.902922e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014269842,0.0012979818,0.00066366035,0.0057183662,0.0053339875,0.000019857125,0.001241398,0.1501586,0.12442282,0.70261383,0.0001463923,0.006956116],"study_design_scores_gemma":[0.0043321853,0.001091329,0.0005848722,0.0006949186,0.0016302267,0.00001585215,0.00011063818,0.83394337,0.1283803,0.028463518,0.00047781374,0.00027498187],"about_ca_topic_score_codex":0.0000044429003,"about_ca_topic_score_gemma":9.40591e-8,"teacher_disagreement_score":0.6837848,"about_ca_system_score_codex":0.000050983715,"about_ca_system_score_gemma":0.000036028825,"threshold_uncertainty_score":0.7633043},"labels":[],"label_agreement":null},{"id":"W4409604904","doi":"10.61091/jcmcc127b-273","title":"Interactive animation design based on the technology of virtual reality","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Virtual reality; Animation; Computer science; Human–computer interaction; Computer graphics (images); Multimedia","score_opus":0.02291398583550581,"score_gpt":0.291845699810326,"score_spread":0.2689317139748202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604904","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13353877,0.000048752463,0.8510844,0.0023513443,0.010231506,0.00035853477,9.3554377e-7,0.000048832473,0.0023368946],"genre_scores_gemma":[0.99222636,0.000004129074,0.007575108,0.000053379415,0.00012689133,0.0000022555298,1.7680867e-7,0.0000073467854,0.000004375782],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981493,0.00016684025,0.00083912606,0.00016993897,0.0004854358,0.0001893575],"domain_scores_gemma":[0.9956745,0.0024397704,0.00090308173,0.00033099487,0.0005901863,0.0000614886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018032233,0.0001816872,0.00048492508,0.00028350038,0.00015993352,0.00017577525,0.00083764654,0.00011147051,0.0000012877865],"category_scores_gemma":[0.0010531923,0.00012686104,0.000113721464,0.0007286073,0.0001171533,0.00025977357,0.00027072453,0.00037489712,0.0000011113708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076015305,0.0004944164,0.000023857949,0.00005268919,0.00005484462,0.000005091415,0.00032578025,0.00015809259,0.00033649465,0.9922056,0.00021121373,0.006055895],"study_design_scores_gemma":[0.0017459692,0.0019041089,0.000046778045,0.0008901067,0.000034870405,0.000010343883,0.00027714507,0.13740294,0.010482123,0.84683347,0.00023876174,0.00013337428],"about_ca_topic_score_codex":0.0000015518552,"about_ca_topic_score_gemma":3.430707e-8,"teacher_disagreement_score":0.8586876,"about_ca_system_score_codex":0.00006471013,"about_ca_system_score_gemma":0.00021690685,"threshold_uncertainty_score":0.51732427},"labels":[],"label_agreement":null},{"id":"W4409604906","doi":"10.61091/jcmcc127b-298","title":"Research on Supply Chain Toughness Evaluation and Optimization Based on Integrated Learning Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Supply chain; Toughness; Computer science; Algorithm; Materials science; Business; Composite material","score_opus":0.020762197914214076,"score_gpt":0.29340502558872544,"score_spread":0.27264282767451137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58497334,0.0013806834,0.3393434,0.0010444737,0.057076443,0.0028998225,0.000008587087,0.000545867,0.012727396],"genre_scores_gemma":[0.99729604,0.00002359216,0.0020432207,0.000011669253,0.00057903957,0.000008595859,0.0000033270846,0.000025846752,0.000008678884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99772894,0.0003979684,0.0007232241,0.00017825497,0.0006868024,0.00028480412],"domain_scores_gemma":[0.9975389,0.00118837,0.00025348965,0.0001618728,0.0007816996,0.000075656884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051379823,0.00022239807,0.0005223579,0.00066900125,0.000359879,0.00018271418,0.00021032282,0.00034844983,0.000005247372],"category_scores_gemma":[0.00088336173,0.0002012887,0.000064825275,0.00064690784,0.00007577438,0.00008979381,0.00005147913,0.001291875,9.15592e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028170622,0.00038528204,0.000073836716,0.00022101322,0.0001864675,0.0000162745,0.0003769438,0.49650386,0.00015612466,0.43429458,0.00046901588,0.067034885],"study_design_scores_gemma":[0.0050760238,0.0008360319,0.000016956552,0.0010147009,0.000057782447,0.000007337999,0.00055505976,0.94818705,0.00045011082,0.043139275,0.00049945456,0.00016024295],"about_ca_topic_score_codex":0.0000057235475,"about_ca_topic_score_gemma":1.6501355e-7,"teacher_disagreement_score":0.45168316,"about_ca_system_score_codex":0.0002265164,"about_ca_system_score_gemma":0.00014610201,"threshold_uncertainty_score":0.8208315},"labels":[],"label_agreement":null},{"id":"W4409604907","doi":"10.61091/jcmcc127b-319","title":"Optimized Allowance Allocation and Decision Support Based on L-BFGS Algorithm under a New Carbon Emission Trading Mechanism","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Tongling University","keywords":"Allowance (engineering); Broyden–Fletcher–Goldfarb–Shanno algorithm; Mechanism (biology); Computer science; Carbon fibers; Algorithm; Emissions trading; Mathematical optimization; Operations research; Mathematics; Economics; Operations management; Greenhouse gas; Physics; Biology; Telecommunications","score_opus":0.013622152110899254,"score_gpt":0.25292818499521413,"score_spread":0.23930603288431487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63117474,0.00012759813,0.34472546,0.004328026,0.014711054,0.0005998692,8.598161e-7,0.00016025786,0.0041720914],"genre_scores_gemma":[0.9693607,0.000013815797,0.02906578,0.0005300057,0.0009801824,0.0000023257044,0.000003485842,0.000029117089,0.000014594096],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807924,0.000018345774,0.00092095305,0.00025386264,0.00046542133,0.0002621773],"domain_scores_gemma":[0.9979798,0.00045403792,0.00086517504,0.00022982409,0.00042802762,0.000043142012],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012181998,0.0002843809,0.00059319416,0.0006854281,0.0003458343,0.00033565273,0.0003120694,0.00024323864,0.000008867215],"category_scores_gemma":[0.0003927189,0.00025841786,0.000102505626,0.00070675794,0.00007038392,0.00031717334,0.00018400243,0.00049213995,8.8220196e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013055968,0.0003542692,0.00012756395,0.00011058253,0.00006715337,0.000010727789,0.00006704239,0.000072234434,0.00054263667,0.9746227,0.00084778835,0.023046717],"study_design_scores_gemma":[0.0053844876,0.00015776423,0.000049293,0.00065011135,0.00012720282,0.000008764035,0.00020823476,0.25998014,0.00042572056,0.732324,0.0004844604,0.00019977617],"about_ca_topic_score_codex":0.00003463816,"about_ca_topic_score_gemma":4.4681053e-7,"teacher_disagreement_score":0.33818594,"about_ca_system_score_codex":0.000075979115,"about_ca_system_score_gemma":0.00015024024,"threshold_uncertainty_score":0.9999868},"labels":[],"label_agreement":null},{"id":"W4409604908","doi":"10.61091/jcmcc127b-296","title":"Study on the effect of compounded fibers on the performance of modified asphalt mixtures in the framework of multidimensional data computational analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Asphalt; Materials science; Computer science; Biological system; Composite material","score_opus":0.02269123468984385,"score_gpt":0.2963025009939728,"score_spread":0.27361126630412896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954694,0.000077187724,0.0015222373,0.00011099549,0.0020003463,0.00064028543,0.0000054749753,0.000006925587,0.00016714692],"genre_scores_gemma":[0.9994189,0.000008335174,0.00042716376,0.000015827683,0.00010928454,0.000004331272,0.000004391744,0.000011310035,4.269255e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969118,0.00044436066,0.0012495655,0.00014003947,0.0010944369,0.00015977795],"domain_scores_gemma":[0.99028933,0.008064783,0.00086047733,0.00051356683,0.00024795352,0.000023872004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057127085,0.000220952,0.0007201215,0.00029240988,0.0001555808,0.00003486509,0.00081519276,0.00008652273,0.0000034885918],"category_scores_gemma":[0.00059250044,0.00011945837,0.0001358549,0.0009045332,0.000109543296,0.00009213659,0.00015429579,0.000566977,2.4863886e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005875176,0.0013344615,0.009989365,0.00058375846,0.0020443886,0.0000030034491,0.005283713,0.61462724,0.0004517021,0.36443096,0.00023419301,0.0004296827],"study_design_scores_gemma":[0.003963281,0.0023088008,0.011095652,0.0009798785,0.0007636405,0.0000022350362,0.0011911561,0.9374548,0.004461706,0.037614383,0.0000041154585,0.0001603427],"about_ca_topic_score_codex":0.000005191258,"about_ca_topic_score_gemma":4.204554e-7,"teacher_disagreement_score":0.3268166,"about_ca_system_score_codex":0.00005016433,"about_ca_system_score_gemma":0.00005939673,"threshold_uncertainty_score":0.48713708},"labels":[],"label_agreement":null},{"id":"W4409604909","doi":"10.61091/jcmcc127b-304","title":"The Role of Artificial Intelligence Algorithms in English Education in Colleges and Universities and Their Teaching Strategies","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics education; Computer science; Artificial intelligence; Psychology","score_opus":0.010611460164067284,"score_gpt":0.2822454316862214,"score_spread":0.2716339715221541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98517346,0.0021810767,0.007144846,0.00038883995,0.004129766,0.00012936807,4.863313e-7,0.000011993053,0.0008401463],"genre_scores_gemma":[0.99592936,0.00014221459,0.0037798,0.0000063315247,0.0001337512,9.3998716e-7,1.4970155e-7,0.0000032353164,0.0000042390825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989277,0.00012012431,0.0005601275,0.00012607475,0.00012828599,0.00013766783],"domain_scores_gemma":[0.997869,0.0013940538,0.00035039024,0.00012289228,0.00023156125,0.000032081534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001425891,0.000116607654,0.0002946972,0.00029435108,0.00020772537,0.0001741285,0.00036887155,0.00009981838,1.790905e-7],"category_scores_gemma":[0.00024696867,0.00009232958,0.000027423232,0.00026571364,0.00015631321,0.00028038438,0.00022515302,0.0004025275,2.6491389e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001551969,0.00017009946,0.00043248493,0.000037315105,0.000014362504,7.3079195e-7,0.0066949246,0.00001279628,0.00008130424,0.94309604,0.0000041908133,0.04944024],"study_design_scores_gemma":[0.00026203864,0.00012881446,0.00049219833,0.0002652184,0.0000061648398,0.00001047974,0.05154728,0.009927438,0.0004808644,0.9366102,0.00019436904,0.00007488671],"about_ca_topic_score_codex":0.000039037466,"about_ca_topic_score_gemma":0.000007062057,"teacher_disagreement_score":0.049365353,"about_ca_system_score_codex":0.00005065435,"about_ca_system_score_gemma":0.00063930283,"threshold_uncertainty_score":0.37650913},"labels":[],"label_agreement":null},{"id":"W4409604910","doi":"10.61091/jcmcc127b-336","title":"A Convolutional Neural Network-based Interaction Behavior Analysis and Creativity Evaluation System for Programming Games for 0-6 Years Old Children in Educational Big Data Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Creativity; Computer science; Convolutional neural network; Big data; Artificial neural network; Artificial intelligence; Psychology; Human–computer interaction; Machine learning; Data science; Data mining; Social psychology","score_opus":0.042714568651068076,"score_gpt":0.33466748103618726,"score_spread":0.29195291238511917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62518114,0.0002314434,0.3655753,0.00051220745,0.007485564,0.0009801502,0.000008319442,0.000017132714,0.000008714193],"genre_scores_gemma":[0.96023273,0.0000026687028,0.03906785,0.00001553472,0.00057007937,0.000057944962,0.000040365412,0.0000075019393,0.0000053272342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99827117,0.00017417895,0.0007498627,0.00028485723,0.0003326672,0.00018724056],"domain_scores_gemma":[0.9974745,0.0011195694,0.00074345357,0.00026904512,0.00032487907,0.000068535395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028403953,0.00014192917,0.00038760944,0.0003885965,0.00021299747,0.00029436185,0.00039512935,0.00007606432,0.0000016262213],"category_scores_gemma":[0.00043723948,0.00014596395,0.00014400431,0.0004087717,0.000041623774,0.00023987959,0.00016133829,0.0001925687,1.2163795e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015272306,0.0026119843,0.08229284,0.00043134196,0.0008398218,0.0000010901437,0.00092289626,0.013941523,0.00003488543,0.835316,0.0004083772,0.06304649],"study_design_scores_gemma":[0.0052136392,0.0004026249,0.10622504,0.0004902439,0.0009957418,0.000015578782,0.00021655834,0.8515479,0.000017298262,0.034156308,0.0004904109,0.00022865753],"about_ca_topic_score_codex":0.000025147423,"about_ca_topic_score_gemma":0.0000033515769,"teacher_disagreement_score":0.8376064,"about_ca_system_score_codex":0.00020179611,"about_ca_system_score_gemma":0.00026419802,"threshold_uncertainty_score":0.5952237},"labels":[],"label_agreement":null},{"id":"W4409604912","doi":"10.61091/jcmcc127b-331","title":"Study of real-time control in the optimization of human specimen fluid exchange process using gradient descent algorithm in adaptive regulation mode","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gradient descent; Process (computing); Mode (computer interface); Computer science; Descent (aeronautics); Algorithm; Mathematical optimization; Artificial intelligence; Mathematics; Engineering; Artificial neural network","score_opus":0.013699290564791392,"score_gpt":0.26169488273253305,"score_spread":0.24799559216774167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841944,0.00009473258,0.012701271,0.0000062684303,0.0019868955,0.0007356246,0.0000016566606,0.000013139444,0.0002660254],"genre_scores_gemma":[0.99932396,0.000009635995,0.0004693807,0.0000014595079,0.00017432896,0.0000048110487,5.012109e-7,0.00001535241,5.8418567e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783236,0.00020433453,0.0012695552,0.0001099307,0.000421779,0.00016203108],"domain_scores_gemma":[0.99872166,0.00022392454,0.0005978929,0.00014365817,0.00028037926,0.000032480304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013156765,0.00017660343,0.0006987556,0.00037936313,0.00006977512,0.000039490496,0.00020649546,0.00009208545,0.0000014258598],"category_scores_gemma":[0.000053149382,0.00014613428,0.00007088298,0.0005104097,0.000027283257,0.000112381465,0.000027962524,0.00021606428,8.803007e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033966155,0.003771444,0.0008938289,0.00097567553,0.00040730005,0.000024611914,0.030367985,0.91467863,0.011989904,0.034491863,0.000031137355,0.0020279652],"study_design_scores_gemma":[0.007880327,0.0007387978,0.00031723687,0.0006453606,0.00008199563,0.000008245263,0.003842354,0.97037613,0.00047883272,0.015510881,0.0000012681926,0.00011856765],"about_ca_topic_score_codex":0.000059767906,"about_ca_topic_score_gemma":0.0000039418733,"teacher_disagreement_score":0.055697512,"about_ca_system_score_codex":0.00015222475,"about_ca_system_score_gemma":0.00004064699,"threshold_uncertainty_score":0.5959183},"labels":[],"label_agreement":null},{"id":"W4409604916","doi":"10.61091/jcmcc127b-345","title":"Research on Pattern Generation and Structure Optimization of Neural Network Algorithms in AI Music Composition","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Computer science; Composition (language); Algorithm; Artificial intelligence; Art","score_opus":0.028180905132116008,"score_gpt":0.3045579856631471,"score_spread":0.2763770805310311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5808391,0.0002745446,0.41131186,0.0005277903,0.0067060273,0.00020191258,6.857225e-7,0.000013378354,0.00012467797],"genre_scores_gemma":[0.9862362,0.000017438593,0.012817509,0.00011925619,0.00079721137,7.9898945e-7,0.0000013388045,0.000009207957,0.0000010443384],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99789816,0.00024080988,0.00082917546,0.00022488077,0.0005535631,0.00025342256],"domain_scores_gemma":[0.998171,0.000452145,0.0005502958,0.00018318485,0.0005751855,0.000068209934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017010764,0.00016637241,0.00046793887,0.00038641825,0.00026584472,0.00031483086,0.00035389158,0.00013561783,0.0000015741693],"category_scores_gemma":[0.00009118315,0.00015019088,0.00004904176,0.000759772,0.00007512977,0.00032407412,0.00025987416,0.00056850514,7.475325e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005868668,0.00053147,0.00059231673,0.00047224347,0.00006788512,0.000025042022,0.0021275287,0.12346585,0.0014822488,0.8118017,0.000727065,0.058647987],"study_design_scores_gemma":[0.0021678742,0.00040249375,0.00026233913,0.00073972385,0.000015878422,0.000020797266,0.00007130435,0.8109059,0.001097795,0.1841675,0.000018019991,0.00013040936],"about_ca_topic_score_codex":0.000008306902,"about_ca_topic_score_gemma":6.9992535e-7,"teacher_disagreement_score":0.68744004,"about_ca_system_score_codex":0.00006743858,"about_ca_system_score_gemma":0.00012038604,"threshold_uncertainty_score":0.6124607},"labels":[],"label_agreement":null},{"id":"W4409604920","doi":"10.61091/jcmcc127b-277","title":"A study of enhancement strategies for artificial intelligence-based automated design tools in complex design tasks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Systems engineering; Human–computer interaction; Engineering","score_opus":0.0665637075668588,"score_gpt":0.30627180399233733,"score_spread":0.23970809642547852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26223877,0.000064279004,0.73237437,0.000017059027,0.004384133,0.00074917043,0.0000012412557,0.000058147965,0.00011281006],"genre_scores_gemma":[0.9798019,0.000004265351,0.02000442,0.0000044962812,0.00014922598,0.000017431377,0.0000011978292,0.000016620163,4.501807e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977891,0.00013193331,0.0014501465,0.00013191973,0.0002968612,0.00020003732],"domain_scores_gemma":[0.9979785,0.0009488698,0.00045169823,0.00013556788,0.00043650632,0.000048849728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012934858,0.0002211155,0.00064416195,0.00037002386,0.00010313803,0.00019222371,0.00022275111,0.000121606485,0.0000037674065],"category_scores_gemma":[0.00017946807,0.0002090707,0.00008853727,0.00042476648,0.000049722938,0.00016433702,0.000029529625,0.00023780565,2.3933896e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046945325,0.0016980314,0.000029237422,0.0004791531,0.000237329,0.000006775748,0.0022603872,0.1394456,0.004535489,0.83974797,0.00022414896,0.010866407],"study_design_scores_gemma":[0.0019561078,0.0012998603,0.000027670685,0.00030038512,0.00007434892,0.0000036845895,0.0036515375,0.55571425,0.008803632,0.4279992,0.000013750596,0.00015558454],"about_ca_topic_score_codex":0.000005405731,"about_ca_topic_score_gemma":0.0000013269752,"teacher_disagreement_score":0.7175631,"about_ca_system_score_codex":0.00010970614,"about_ca_system_score_gemma":0.00022710237,"threshold_uncertainty_score":0.8525656},"labels":[],"label_agreement":null},{"id":"W4409604925","doi":"10.61091/jcmcc127b-268","title":"Research on performance evaluation of public administration departments based on Rao-Stirling diversity algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stirling engine; Diversity (politics); Algorithm; Computer science; Administration (probate law); Engineering; Political science; Mechanical engineering; Law","score_opus":0.06473698842240268,"score_gpt":0.3553259371353286,"score_spread":0.29058894871292595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883258,0.000011485131,0.0014241074,0.00028855045,0.0036570788,0.00025903707,0.0000015644408,0.0000059930967,0.006026388],"genre_scores_gemma":[0.99772626,0.0000061812143,0.002010188,0.000027764976,0.00020751692,0.000002997338,0.000003249747,0.0000067673104,0.000009056255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99702066,0.00018564472,0.00063856714,0.00015859444,0.0017925868,0.00020394348],"domain_scores_gemma":[0.9978814,0.0006025128,0.0005263908,0.00017546702,0.00073407666,0.00008016672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069096615,0.00012680952,0.00025334052,0.0002829644,0.00061194476,0.00007911603,0.0002802828,0.00008896498,0.00003513455],"category_scores_gemma":[0.0007071861,0.000107618,0.00006387896,0.00070831523,0.000115444374,0.00021386711,0.00021087154,0.00035954983,0.0000038561784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024461848,0.005119857,0.016326584,0.0001648612,0.00012906395,0.0000029408416,0.0006546045,0.0047239223,0.00044271126,0.8923355,0.001056256,0.078799106],"study_design_scores_gemma":[0.00817862,0.004071664,0.040286854,0.00089245057,0.00015705214,0.0000070749825,0.00092685147,0.51516277,0.00492896,0.42411685,0.0009042544,0.00036657893],"about_ca_topic_score_codex":0.00000682277,"about_ca_topic_score_gemma":5.310647e-7,"teacher_disagreement_score":0.51043886,"about_ca_system_score_codex":0.00043382889,"about_ca_system_score_gemma":0.00029500946,"threshold_uncertainty_score":0.47066462},"labels":[],"label_agreement":null},{"id":"W4409604926","doi":"10.61091/jcmcc127b-311","title":"Web-based optimization algorithm for web-based platform course design in teaching reform of university mathematics","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Anhui Provincial Quality Engineering Project; Huainan Normal University","keywords":"Course (navigation); Computer science; Web application; World Wide Web; Algorithm; Multimedia; Engineering","score_opus":0.015479601366466134,"score_gpt":0.2756444266053121,"score_spread":0.26016482523884593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604926","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032328624,0.00006426052,0.96254224,0.0005717189,0.0037150797,0.0004085314,0.0000028339218,0.000045176625,0.0003215574],"genre_scores_gemma":[0.49520293,0.000004870391,0.5046901,0.000017354876,0.00006918336,0.0000017600022,0.0000012128276,0.0000085426545,0.000004018632],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806803,0.00012072794,0.0009451793,0.00021023325,0.0003964786,0.00025935294],"domain_scores_gemma":[0.9961918,0.001784221,0.0011061896,0.00029249772,0.00054962956,0.000075653894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034446642,0.00022184101,0.00062017184,0.0005186373,0.00025077586,0.000090908536,0.0008156053,0.00021188626,0.0000011774913],"category_scores_gemma":[0.00028335262,0.0002139055,0.00014511672,0.0005318078,0.000084463056,0.00029288555,0.00015218301,0.00043766794,1.5230464e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053730302,0.0015802423,0.000065823806,0.0002516212,0.00006656357,0.000006728902,0.0002190024,0.006908983,0.0001402144,0.9858261,0.00010469364,0.0047763074],"study_design_scores_gemma":[0.0057964986,0.00042123115,0.00003377027,0.0006275828,0.000059174617,0.0000056461085,0.00040300193,0.7663219,0.0009197476,0.22513798,0.00011826821,0.00015520205],"about_ca_topic_score_codex":0.0000050800672,"about_ca_topic_score_gemma":3.9770407e-7,"teacher_disagreement_score":0.7606881,"about_ca_system_score_codex":0.00031688676,"about_ca_system_score_gemma":0.0013601311,"threshold_uncertainty_score":0.8722813},"labels":[],"label_agreement":null},{"id":"W4409604928","doi":"10.61091/jcmcc127b-330","title":"Design of Rule Extraction and Optimization Algorithms in Employee Performance Evaluation in Data Mining Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Data mining; Extraction (chemistry); Algorithm; Chemistry","score_opus":0.03803127266384431,"score_gpt":0.2741304302159091,"score_spread":0.2360991575520648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95828146,0.0003520523,0.038619712,0.00010319853,0.0021129192,0.00032686922,3.1582292e-7,0.000014095192,0.00018936851],"genre_scores_gemma":[0.9787638,0.00013540554,0.020859024,0.000008913804,0.00021673788,0.0000022281206,0.0000028879117,0.000009886411,0.0000011095156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985309,0.000033320957,0.00078332296,0.00016432878,0.0003446304,0.00014349665],"domain_scores_gemma":[0.998688,0.00024349071,0.0007279937,0.00017736918,0.00015497704,0.000008163039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002770365,0.00013574565,0.00037925623,0.00049973396,0.00008404293,0.00011137106,0.00026610366,0.000109482164,0.0000036248402],"category_scores_gemma":[0.00043369769,0.00013030812,0.000019718118,0.0003337578,0.000049746373,0.00073507073,0.00033095697,0.00020645098,2.414557e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010629569,0.003613947,0.10559985,0.0034102956,0.00031728618,0.000040317766,0.0024590627,0.324223,0.0022877576,0.28008878,0.00047259897,0.2764241],"study_design_scores_gemma":[0.0032413227,0.00007495431,0.0032224148,0.00065993646,0.00007987188,0.000003846961,0.0005849609,0.91279775,0.00012947117,0.07902944,0.000040861578,0.00013518728],"about_ca_topic_score_codex":0.000016436745,"about_ca_topic_score_gemma":5.786147e-7,"teacher_disagreement_score":0.5885747,"about_ca_system_score_codex":0.00006506895,"about_ca_system_score_gemma":0.000051444385,"threshold_uncertainty_score":0.5313811},"labels":[],"label_agreement":null},{"id":"W4409604930","doi":"10.61091/jcmcc127b-265","title":"A Genetic Algorithm-Based Method for Optimizing the Distribution Path of Agricultural Products in Cold Chain","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cold chain; Path (computing); Genetic algorithm; Distribution (mathematics); Agriculture; Computer science; Algorithm; Mathematical optimization; Mathematics; Engineering; Biology; Mechanical engineering; Ecology","score_opus":0.012993364952070733,"score_gpt":0.24501130973393007,"score_spread":0.23201794478185933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747442,0.00034162856,0.018936325,0.0013275372,0.0036531875,0.00093478244,0.000025285592,0.00001532259,0.00002171506],"genre_scores_gemma":[0.96443665,0.000006486715,0.035053387,0.000017468397,0.00046680038,0.000009453572,0.0000056999465,0.0000020131251,0.0000020288282],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99796146,0.00023284976,0.0009891278,0.00020713898,0.00034412512,0.00026529084],"domain_scores_gemma":[0.9963316,0.0021346756,0.0007323062,0.00009147944,0.00065221573,0.000057722562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025554686,0.0001970361,0.0005799556,0.000032548476,0.00020938131,0.000090332775,0.00037950915,0.0001289225,0.0000012278845],"category_scores_gemma":[0.0008748727,0.000080998354,0.00017042097,0.0006273173,0.000076077034,0.0000689447,0.00010017279,0.0002837308,6.3377094e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080913986,0.0059626885,0.0029067534,0.0019481349,0.0003926078,0.000014694179,0.0022125184,0.003870163,0.13807178,0.7682581,0.0012796686,0.074273795],"study_design_scores_gemma":[0.01870195,0.007914272,0.05115425,0.0030706818,0.00063246774,0.00007007847,0.005876516,0.20476045,0.08435456,0.6192646,0.0027374527,0.0014627298],"about_ca_topic_score_codex":0.00003514906,"about_ca_topic_score_gemma":0.0000024279377,"teacher_disagreement_score":0.20089029,"about_ca_system_score_codex":0.00009080508,"about_ca_system_score_gemma":0.000079063284,"threshold_uncertainty_score":0.3303017},"labels":[],"label_agreement":null},{"id":"W4409604937","doi":"10.61091/jcmcc127b-253","title":"A method for mining the association of homogenized elements of traditional crafts and cultural products based on latent semantic analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Latent semantic analysis; Association (psychology); Probabilistic latent semantic analysis; Association rule learning; Computer science; Natural language processing; Psychology; Artificial intelligence","score_opus":0.03340922135140273,"score_gpt":0.2742746470676248,"score_spread":0.24086542571622205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965911,0.000059383463,0.00050843117,0.001223715,0.0012835548,0.00025130267,0.000013200956,0.000003935068,0.000065369684],"genre_scores_gemma":[0.9956531,0.0000056256345,0.0040125344,0.000030893774,0.00028145124,0.00000241556,0.000006472129,9.768157e-7,0.0000065307495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99846894,0.0001829928,0.00078114826,0.00012832166,0.00029685535,0.00014175741],"domain_scores_gemma":[0.995444,0.002789426,0.0011707467,0.000046087283,0.00051446515,0.000035257577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021690268,0.00012378415,0.0005578965,0.000055862005,0.00017038394,0.000042003758,0.00016809742,0.00012062901,0.000004351655],"category_scores_gemma":[0.0008399897,0.000051187835,0.00017405748,0.0004931969,0.00004706192,0.000042625332,0.000042076153,0.00015091087,3.0232354e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020460524,0.005245602,0.040335126,0.0013426369,0.0060390495,0.0000047026692,0.0024003366,0.00085712835,0.16373599,0.74074286,0.0017270998,0.035523396],"study_design_scores_gemma":[0.02097909,0.013890412,0.062166113,0.002082572,0.006891685,0.000024251742,0.0033869392,0.26321003,0.050555903,0.57426584,0.0015495052,0.0009976681],"about_ca_topic_score_codex":0.000007529023,"about_ca_topic_score_gemma":0.0000011370929,"teacher_disagreement_score":0.26235288,"about_ca_system_score_codex":0.00002875728,"about_ca_system_score_gemma":0.000035846515,"threshold_uncertainty_score":0.20873794},"labels":[],"label_agreement":null},{"id":"W4409604938","doi":"10.61091/jcmcc127b-327","title":"Construction of Labor Education Evaluation Mechanism and Analysis of Implementation Path Based on Fuzzy Clustering Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Cluster analysis; Computer science; Path (computing); Fuzzy logic; Fuzzy clustering; Path analysis (statistics); Algorithm; Data mining; Artificial intelligence; Machine learning","score_opus":0.017929878982280777,"score_gpt":0.35423187538880374,"score_spread":0.336301996406523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.975815,0.0000990414,0.014755204,0.0004300233,0.006967885,0.00034189125,0.000006297344,0.000008359081,0.0015763133],"genre_scores_gemma":[0.99091154,0.000023916742,0.008767827,0.00003448196,0.0002480912,0.000002579753,0.0000051609677,0.0000039963875,0.000002389781],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99814427,0.00028753912,0.00076741545,0.000114331735,0.0005522371,0.0001341904],"domain_scores_gemma":[0.9971755,0.00066780637,0.00088281726,0.00008758023,0.0011107078,0.00007556657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024765686,0.000103323764,0.00043418157,0.00042204492,0.0001987509,0.000053234897,0.000104762454,0.000107533786,0.0000149642465],"category_scores_gemma":[0.0007099134,0.00009466712,0.00009724862,0.00069375744,0.00012611128,0.000101232064,0.00003441488,0.00012904225,6.944447e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028396542,0.0002969576,0.0008524959,0.00008619368,0.00012986353,1.13656505e-7,0.0017042623,0.000046214485,0.00011298708,0.9650651,0.000009876905,0.03166754],"study_design_scores_gemma":[0.0015092547,0.0003878754,0.0032452308,0.00025024256,0.0010753637,7.514264e-7,0.0053332895,0.04187626,0.0006842122,0.9454742,0.000058121885,0.00010516498],"about_ca_topic_score_codex":0.00016879899,"about_ca_topic_score_gemma":0.000004765443,"teacher_disagreement_score":0.041830044,"about_ca_system_score_codex":0.00011236958,"about_ca_system_score_gemma":0.0006137574,"threshold_uncertainty_score":0.3860413},"labels":[],"label_agreement":null},{"id":"W4409604939","doi":"10.61091/jcmcc127b-334","title":"Algorithm design for optimizing color analysis and teaching effect in oil paintings with AI technology support","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Weinan Normal University","keywords":"Painting; Computer science; Artificial intelligence; Engineering drawing; Computer graphics (images); Art; Visual arts; Engineering","score_opus":0.007907613495446249,"score_gpt":0.2711618758022829,"score_spread":0.26325426230683663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604939","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22912447,0.00008661446,0.7673304,0.00053507445,0.0024517484,0.00024899986,5.879133e-7,0.00004934338,0.00017272425],"genre_scores_gemma":[0.74772364,0.0000102723325,0.25205648,0.00004850877,0.00012724585,0.000009601835,5.0202675e-7,0.0000142367735,0.000009513918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99788034,0.0001369121,0.0008867279,0.00033301345,0.00036024704,0.0004027873],"domain_scores_gemma":[0.9968465,0.0018449608,0.0006170458,0.00022627255,0.0003382664,0.00012695826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034733212,0.00029001595,0.0010302827,0.00087627844,0.0002565261,0.00050270546,0.0005666449,0.0001653754,3.135107e-7],"category_scores_gemma":[0.0005200602,0.0002328174,0.00013625914,0.0009599789,0.000095468116,0.0004460143,0.00035048372,0.0005196569,1.9860637e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014562628,0.0004965118,0.0010586608,0.00039831892,0.0006458177,0.00006484566,0.0009485469,0.00018745477,0.0002034576,0.8640373,0.000048075988,0.13176543],"study_design_scores_gemma":[0.009827653,0.0052561183,0.00010327158,0.0013221418,0.00063933054,0.00008897628,0.00035872127,0.37239087,0.0025273596,0.6066348,0.00032184122,0.0005289621],"about_ca_topic_score_codex":0.000004828044,"about_ca_topic_score_gemma":3.2335365e-7,"teacher_disagreement_score":0.51859915,"about_ca_system_score_codex":0.0000766853,"about_ca_system_score_gemma":0.00017056197,"threshold_uncertainty_score":0.9494018},"labels":[],"label_agreement":null},{"id":"W4409604940","doi":"10.61091/jcmcc127b-347","title":"Combining Artificial Intelligence Algorithms to Optimize the Digital Innovation Design of Dong Brocade Patterns Research","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Algorithm; Machine learning","score_opus":0.07092950274343228,"score_gpt":0.32632545384494854,"score_spread":0.25539595110151625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5855698,0.00007162013,0.39642853,0.0056658685,0.009316094,0.00086008816,0.0000027839562,0.00006989584,0.0020153318],"genre_scores_gemma":[0.9951335,0.000006486306,0.003627884,0.00016178857,0.0010323059,0.0000056906697,0.0000027725496,0.000022610628,0.0000069557477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971207,0.00005214426,0.0015725183,0.00020924462,0.00068732566,0.00035811184],"domain_scores_gemma":[0.9953209,0.0011723907,0.0010117942,0.00030056492,0.0021746156,0.000019731617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004021034,0.00022336889,0.0005410077,0.0012904274,0.0005969725,0.0006519725,0.0008097335,0.00017679516,0.0000052595265],"category_scores_gemma":[0.0022661139,0.00017940074,0.000086210835,0.0033487615,0.00023872826,0.00048654835,0.0006495253,0.0008408498,0.0000050364656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007983735,0.00034992569,0.0003949964,0.00013219763,0.00008325499,0.0000040128148,0.0002796187,0.00035559564,0.00037594675,0.9851118,0.00047710637,0.012355726],"study_design_scores_gemma":[0.00076415326,0.00020756447,0.00013054449,0.00074105925,0.00006141083,0.000009150965,0.0028800177,0.016571758,0.0012595871,0.97646374,0.00071010384,0.00020092972],"about_ca_topic_score_codex":0.00003435333,"about_ca_topic_score_gemma":6.4367737e-7,"teacher_disagreement_score":0.4095637,"about_ca_system_score_codex":0.000058977177,"about_ca_system_score_gemma":0.00012117393,"threshold_uncertainty_score":0.73157495},"labels":[],"label_agreement":null},{"id":"W4409604942","doi":"10.61091/jcmcc127b-289","title":"Practice of Cognitive Function and Computational Model Fusion in Smart Product Design Optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fusion; Cognition; Computer science; Product (mathematics); Function (biology); Psychology; Mathematics; Neuroscience; Biology","score_opus":0.027325670560138873,"score_gpt":0.32453983889544513,"score_spread":0.2972141683353063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604942","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43328547,0.0009102444,0.5611227,0.000562379,0.0021039094,0.0008910212,0.0000016993978,0.000012958368,0.0011095757],"genre_scores_gemma":[0.9590399,0.000097939,0.040703405,0.000038085946,0.000097730954,0.0000022411346,0.0000037222028,0.0000098442915,0.0000070847555],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819034,0.0001421269,0.00075730786,0.00015517711,0.00059330853,0.00016170896],"domain_scores_gemma":[0.99643284,0.0018601912,0.0005102376,0.00007601793,0.0009869615,0.0001337657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017055789,0.00013947971,0.0005129015,0.00030841347,0.000089638415,0.00003862161,0.0000582916,0.00008843687,0.0000032115397],"category_scores_gemma":[0.004893604,0.000116201205,0.000053090167,0.00033306735,0.00008657571,0.0001615579,0.00008497185,0.0003285625,2.065407e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01685169,0.013482088,0.006025645,0.0028316097,0.0016905005,0.00017817807,0.0032953965,0.05617774,0.00094316684,0.8741876,0.00046697375,0.023869418],"study_design_scores_gemma":[0.015781444,0.0020443944,0.0008166436,0.0023348485,0.00044398,0.00007319215,0.0003662117,0.6244271,0.00025192174,0.353338,0.000011413978,0.0001108889],"about_ca_topic_score_codex":0.0000065713125,"about_ca_topic_score_gemma":7.155678e-8,"teacher_disagreement_score":0.56824934,"about_ca_system_score_codex":0.000062495084,"about_ca_system_score_gemma":0.000416917,"threshold_uncertainty_score":0.5858455},"labels":[],"label_agreement":null},{"id":"W4409604949","doi":"10.61091/jcmcc127b-262","title":"Research on strategic research of red tourism culture platform construction and brand development based on big data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tourism; Big data; Business; Marketing; Knowledge management; Data science; Advertising; Computer science; Political science; Data mining","score_opus":0.13429875948525685,"score_gpt":0.35551306969541574,"score_spread":0.2212143102101589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732349,0.00010777833,0.00060933165,0.001586347,0.006249601,0.0004167482,0.0000022695021,0.00003483589,0.017758222],"genre_scores_gemma":[0.9971748,0.000014580232,0.0016005024,0.000058727983,0.0011138722,0.000002269718,0.000008689248,0.0000159853,0.000010572133],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975263,0.00006070822,0.00091385987,0.00027036772,0.00090749876,0.0003212677],"domain_scores_gemma":[0.9965587,0.0008594726,0.0006043957,0.00042558252,0.001524801,0.000027005832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053895568,0.00019299744,0.0004896282,0.0014062385,0.0007168296,0.00033241019,0.0006229726,0.0002513111,0.0000041128815],"category_scores_gemma":[0.00073604326,0.00016220118,0.000041874035,0.0014829005,0.00035847453,0.0002732526,0.00054582296,0.0012081603,0.000001861476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020054706,0.0004977197,0.00042005535,0.00039919186,0.00008007776,0.00001011996,0.00007737592,0.000010577824,0.00023889975,0.9899615,0.0020002355,0.006103701],"study_design_scores_gemma":[0.0051034545,0.00039694007,0.00035376553,0.0016610365,0.00006148554,0.000008150025,0.002510358,0.0046715983,0.000845509,0.9790254,0.0051602703,0.00020203188],"about_ca_topic_score_codex":0.000027867924,"about_ca_topic_score_gemma":0.0000029005748,"teacher_disagreement_score":0.023939935,"about_ca_system_score_codex":0.00006778591,"about_ca_system_score_gemma":0.00024815468,"threshold_uncertainty_score":0.6614372},"labels":[],"label_agreement":null},{"id":"W4409604951","doi":"10.61091/jcmcc127b-275","title":"Music structure design utilizing computer JavaScript","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"JavaScript; Computer science; Unobtrusive JavaScript; Programming language; Computer graphics (images); Rich Internet application","score_opus":0.020593022803858867,"score_gpt":0.24809729087523602,"score_spread":0.22750426807137716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604951","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.119949356,0.00093076774,0.8448401,0.0004760822,0.03244264,0.00028844093,7.5502294e-7,0.00013934128,0.0009325135],"genre_scores_gemma":[0.89228636,0.000027253043,0.10682474,0.0001567462,0.0006790934,0.0000011516989,2.2437322e-7,0.000013379915,0.0000110453475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975213,0.00017040271,0.0010772541,0.0003281147,0.000492889,0.0004100302],"domain_scores_gemma":[0.9972034,0.00090140774,0.0007691249,0.00046224977,0.00055214687,0.00011164461],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014175946,0.00033954837,0.0008761568,0.00040965862,0.0005591385,0.00038206478,0.0012236502,0.00026747302,0.0000037045477],"category_scores_gemma":[0.00034059852,0.00029098362,0.0001792773,0.00068013265,0.00015309615,0.00034914282,0.0008382048,0.0007112223,0.0000012273059],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023854971,0.0001851752,0.000101951606,0.00010525981,0.00019396207,0.000030518313,0.001657062,0.00004687787,0.00027651485,0.9855926,0.0026314063,0.009154836],"study_design_scores_gemma":[0.0028544317,0.00048047083,0.00015422044,0.0003797704,0.00008166685,0.00011388896,0.00022850293,0.02511505,0.00086017814,0.9666138,0.0028178003,0.00030018165],"about_ca_topic_score_codex":0.0000038228695,"about_ca_topic_score_gemma":3.4948502e-7,"teacher_disagreement_score":0.772337,"about_ca_system_score_codex":0.0000844064,"about_ca_system_score_gemma":0.00020911914,"threshold_uncertainty_score":0.9999542},"labels":[],"label_agreement":null},{"id":"W4409604952","doi":"10.61091/jcmcc127b-322","title":"Construction of Fuzzy Information Assessment Method Based on Fuzzy Logistic Regression Algorithm in the Performance Evaluation of School-Enterprise Integration of Higher Vocational Hospitality Management Major","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hospitality; Logistic regression; Fuzzy logic; Vocational education; Computer science; Artificial intelligence; Mathematics; Algorithm; Machine learning; Psychology; Tourism; Geography; Pedagogy","score_opus":0.023300054006348027,"score_gpt":0.3212581669090894,"score_spread":0.2979581129027414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9417881,0.000041169707,0.040789038,0.00086344924,0.0052968594,0.00082762743,0.0000039513875,0.000016536005,0.0103733055],"genre_scores_gemma":[0.97987115,0.0000064122787,0.019878399,0.00006244728,0.00015191428,0.000008993392,0.000014116579,0.000005518215,0.0000010422627],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997443,0.00010394778,0.0013717604,0.00010582031,0.00086082594,0.000114619535],"domain_scores_gemma":[0.99575216,0.0003100458,0.0021733132,0.00022903724,0.0015269918,0.000008450097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045000664,0.00015971877,0.00041431552,0.00078720297,0.00012053411,0.000070244874,0.00030046102,0.000120150275,0.000006368439],"category_scores_gemma":[0.0003683163,0.00012022612,0.00008714404,0.0009168413,0.00011440411,0.0005362182,0.00009692776,0.00032075992,4.1336395e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007162366,0.0005919482,0.0034822915,0.00053896214,0.000068768524,3.862133e-7,0.00009167999,0.0004510589,0.000075050855,0.9474128,0.00012020072,0.047095235],"study_design_scores_gemma":[0.0067446292,0.00030273054,0.064414866,0.0023772363,0.0005183997,0.0000025613629,0.002203221,0.1801159,0.00051796564,0.7425201,0.000098189055,0.00018420936],"about_ca_topic_score_codex":0.000030465635,"about_ca_topic_score_gemma":5.0175987e-7,"teacher_disagreement_score":0.2048927,"about_ca_system_score_codex":0.00010722541,"about_ca_system_score_gemma":0.00011578274,"threshold_uncertainty_score":0.4902679},"labels":[],"label_agreement":null},{"id":"W4409604953","doi":"10.61091/jcmcc127b-252","title":"Information Security Risk Assessment Method based on digital watermarking and copy detection","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Digital watermarking; Computer science; Information security; Computer security; Digital Watermarking Alliance; Information retrieval; Data mining; Artificial intelligence; Image (mathematics)","score_opus":0.005890180198990192,"score_gpt":0.2690763766151426,"score_spread":0.26318619641615243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07860992,0.000028173738,0.9155117,0.000143134,0.004321659,0.00021197101,0.000002958461,0.00009265628,0.0010778254],"genre_scores_gemma":[0.9362249,0.000019367104,0.06355036,0.000053433687,0.00014071722,0.0000023490595,0.0000010862343,0.000007328201,4.749898e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99813575,0.0001647918,0.00083477487,0.00016750033,0.00046376753,0.00023341128],"domain_scores_gemma":[0.9975026,0.0008045706,0.0009400064,0.00026349892,0.0003890309,0.000100271085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018769759,0.00024107762,0.0004630403,0.00046668772,0.00042690628,0.0009334753,0.00041970803,0.00013736637,3.3798335e-7],"category_scores_gemma":[0.0002698093,0.0002046595,0.00012696098,0.00039818822,0.000051353505,0.0011476214,0.0002788974,0.0005597992,2.7177313e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016398584,0.00045688899,0.0017788667,0.0003483815,0.00012597864,0.000010946287,0.0014146402,0.00026511666,0.00016183317,0.878213,0.00007954476,0.11698081],"study_design_scores_gemma":[0.0020304834,0.0005864199,0.00025974883,0.00036469166,0.000039347604,0.000022784841,0.00007149124,0.28410298,0.002396616,0.7089025,0.0010255862,0.00019740088],"about_ca_topic_score_codex":0.000003802679,"about_ca_topic_score_gemma":6.818866e-8,"teacher_disagreement_score":0.85761493,"about_ca_system_score_codex":0.000084899046,"about_ca_system_score_gemma":0.00008117189,"threshold_uncertainty_score":0.9001524},"labels":[],"label_agreement":null},{"id":"W4409604956","doi":"10.61091/jcmcc127b-301","title":"Research on the Integration and Evaluation Method of Intelligent Interaction Design and Visual Communication Design Education Content Based on Fuzzy Logic Reasoning Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Computer science; Artificial intelligence","score_opus":0.1546205176959199,"score_gpt":0.43263035203528144,"score_spread":0.27800983433936155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05714873,0.0002445093,0.9374806,0.0007178137,0.0032264586,0.0007425518,2.210252e-7,0.000014046918,0.00042506878],"genre_scores_gemma":[0.8686332,0.000056516747,0.1311235,0.000055295997,0.00010504812,0.000014063625,9.819191e-7,0.0000083287505,0.0000030369333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964828,0.001534401,0.00076514244,0.00022990363,0.0008147017,0.0001730488],"domain_scores_gemma":[0.9914957,0.0060316394,0.0006923701,0.00025542654,0.0014404733,0.000084379884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011589718,0.00018163717,0.0003664439,0.00038095439,0.00033998955,0.00042675284,0.00036801808,0.000101281745,8.687317e-7],"category_scores_gemma":[0.0014052104,0.00013034826,0.00005681643,0.00049819023,0.000103881786,0.00031881628,0.00019935462,0.00051608274,4.8569865e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012277419,0.000621714,0.0000058636424,0.00004978372,0.000036757727,5.5542637e-7,0.00077783066,0.00035492002,0.00034388443,0.76619774,0.000059576043,0.23142862],"study_design_scores_gemma":[0.00081830245,0.0015504454,0.00005614019,0.0014378446,0.000037175756,0.000009531793,0.0014221342,0.60007304,0.007067358,0.38742554,0.000017779235,0.000084737614],"about_ca_topic_score_codex":0.00001105607,"about_ca_topic_score_gemma":9.6349964e-8,"teacher_disagreement_score":0.8114845,"about_ca_system_score_codex":0.00015791086,"about_ca_system_score_gemma":0.00033726357,"threshold_uncertainty_score":0.5315448},"labels":[],"label_agreement":null},{"id":"W4409604957","doi":"10.61091/jcmcc127b-258","title":"Research on Efficient Parallel Computing Methods for Industrial Big Data Streams in Agile Low Code Development Environments","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agile software development; STREAMS; Computer science; Big data; Data stream mining; Code (set theory); Data science; Software engineering; Parallel computing; Programming language; Operating system; Data mining","score_opus":0.11002542415763267,"score_gpt":0.37669431758091454,"score_spread":0.26666889342328187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604957","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4108713,0.00024882873,0.56803536,0.00042292927,0.018867057,0.0009244861,0.0000021000196,0.000046326113,0.00058163004],"genre_scores_gemma":[0.88442326,0.000008489214,0.11442779,0.000048347123,0.0010237788,0.000005980697,0.0000034062791,0.000029692654,0.000029280669],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9948022,0.00071709877,0.0018651659,0.0007480639,0.0010735089,0.00079400965],"domain_scores_gemma":[0.9932044,0.004360553,0.00093552156,0.0010140958,0.0002801431,0.00020529678],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.014308216,0.00040256177,0.00096701854,0.00091559597,0.000695308,0.0005315909,0.0028301592,0.00025415837,6.365969e-7],"category_scores_gemma":[0.0010779313,0.00036254682,0.00013852668,0.0010858699,0.00012284808,0.00005499235,0.0031902809,0.0011259991,0.0000020403281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022917398,0.0030776814,0.00013620564,0.00034512393,0.00028751773,0.000034861536,0.0023188244,0.02725467,0.00014627058,0.57465374,0.000895742,0.39062014],"study_design_scores_gemma":[0.011696847,0.00085265754,0.00017725832,0.00232924,0.000051980784,0.000015413283,0.00075878156,0.8593154,0.0009987544,0.109378405,0.013884254,0.0005410428],"about_ca_topic_score_codex":0.000012147341,"about_ca_topic_score_gemma":8.8175494e-7,"teacher_disagreement_score":0.8320607,"about_ca_system_score_codex":0.00039499791,"about_ca_system_score_gemma":0.0004362221,"threshold_uncertainty_score":0.99988264},"labels":[],"label_agreement":null},{"id":"W4409604960","doi":"10.61091/jcmcc127b-259","title":"Intelligent Diagnosis of Integrated Circuit Short-Circuit Faults Based on Wavelet Neural Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Wavelet; Computer science; Artificial intelligence; Pattern recognition (psychology)","score_opus":0.015896647506074668,"score_gpt":0.23532551587847284,"score_spread":0.21942886837239817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78506273,0.001024612,0.083524615,0.000055930846,0.12568636,0.00060566614,0.00001154542,0.00014198349,0.003886559],"genre_scores_gemma":[0.9979361,0.0000599978,0.00015630058,0.000025750267,0.0017657719,0.000005130252,0.000003941948,0.00004391432,0.0000030632166],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972249,0.00011442697,0.0015682863,0.00019344054,0.0005343196,0.00036458817],"domain_scores_gemma":[0.99748373,0.0011616673,0.0004308349,0.0003096375,0.00044893633,0.00016520097],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001131771,0.00038445566,0.0010416287,0.00039421755,0.00012323509,0.00010832094,0.00044563826,0.0002452964,0.00000949959],"category_scores_gemma":[0.00030931566,0.00034245534,0.00028101218,0.0005904199,0.00006669829,0.00011142894,0.000073382944,0.0007021286,8.0523625e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003666216,0.0022907143,0.012712877,0.0026621353,0.0012320699,0.0001169056,0.0021331687,0.13748659,0.00044545962,0.8083947,0.0077110897,0.0244477],"study_design_scores_gemma":[0.003955362,0.00112276,0.00039671006,0.002962356,0.00025104918,0.00003371915,0.00036481087,0.9497234,0.0037165503,0.03340916,0.0034516684,0.0006124142],"about_ca_topic_score_codex":0.000009169515,"about_ca_topic_score_gemma":5.349915e-7,"teacher_disagreement_score":0.81223685,"about_ca_system_score_codex":0.00015700856,"about_ca_system_score_gemma":0.00009645932,"threshold_uncertainty_score":0.9999027},"labels":[],"label_agreement":null},{"id":"W4409604964","doi":"10.61091/jcmcc127b-310","title":"Real-Time Target Detection and Analysis of Complex Traffic Scenes Based on Image Segmentation Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Segmentation; Computer vision; Image (mathematics); Image segmentation; Pattern recognition (psychology); Algorithm","score_opus":0.01299911159392364,"score_gpt":0.27441737181841735,"score_spread":0.2614182602244937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5262212,0.00008602746,0.46843842,0.000013490936,0.0043037217,0.00021462564,0.0000046711707,0.00007366141,0.0006441703],"genre_scores_gemma":[0.87258834,0.00003715782,0.12715763,0.0000049454466,0.00018527961,0.0000015644491,0.000002777302,0.000019682326,0.0000026555879],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984181,0.00010454371,0.00080441596,0.00013401403,0.0003789494,0.000159958],"domain_scores_gemma":[0.99849856,0.00053293136,0.00042878062,0.00012941528,0.00033273903,0.00007759302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011157306,0.00020444984,0.000700618,0.0006869115,0.00013726074,0.000073134994,0.00010150344,0.00010019626,0.0000070925503],"category_scores_gemma":[0.00014926583,0.00019781062,0.00015735012,0.00078667764,0.00005261411,0.00012017215,0.000026303682,0.00020840608,2.420329e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007077636,0.0013850228,0.00030941318,0.0017743007,0.003575421,0.000017675111,0.0014699837,0.20902412,0.5879858,0.028166851,0.00014753576,0.16543612],"study_design_scores_gemma":[0.0026450702,0.0003841141,0.0003985747,0.00016105584,0.00060422864,0.0000027403187,0.000117677104,0.9456123,0.02772616,0.022130908,0.000042870422,0.00017427291],"about_ca_topic_score_codex":0.0000017485307,"about_ca_topic_score_gemma":1.4392441e-7,"teacher_disagreement_score":0.7365882,"about_ca_system_score_codex":0.00009011994,"about_ca_system_score_gemma":0.000030967036,"threshold_uncertainty_score":0.8066483},"labels":[],"label_agreement":null},{"id":"W4409604969","doi":"10.61091/jcmcc127b-316","title":"A Computational Study of the Path of Cooperative Interaction of Small States in the Global Economic System – The Case of Malta","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Economic geography; Computer science; Regional science; Geography; Computer network","score_opus":0.017238087653004112,"score_gpt":0.26009690231929217,"score_spread":0.24285881466628806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944555,0.0003228139,0.00037025384,0.00009765649,0.0035459166,0.00040460733,0.000051303723,0.0000018061199,0.0007501267],"genre_scores_gemma":[0.9997634,0.000013124796,0.00010752464,0.0000095077285,0.000097424585,0.0000019548659,4.8052965e-7,0.0000056036642,9.4001365e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974965,0.00017151209,0.0019816416,0.00011647919,0.00010477296,0.00012911875],"domain_scores_gemma":[0.995945,0.0007936815,0.0026869029,0.00022618593,0.0003270786,0.000021177002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020237756,0.00014948903,0.00083123386,0.00012054949,0.00012021258,0.000044074008,0.0004637284,0.00006750386,0.0000014874756],"category_scores_gemma":[0.00023865773,0.00009611761,0.00017022944,0.00040121513,0.00012290546,0.000071070965,0.00017174456,0.00021415282,2.0326453e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008511274,0.00068284903,0.0076163267,0.00026689374,0.00013023951,0.0000047776343,0.00597248,0.0064428295,0.0000030819872,0.9786715,0.00004981036,0.00007408138],"study_design_scores_gemma":[0.006766696,0.0019992543,0.013886456,0.0010783058,0.00018055622,0.00016761644,0.043437462,0.04691633,0.0001453839,0.8850574,0.0001349338,0.00022959999],"about_ca_topic_score_codex":0.0010757264,"about_ca_topic_score_gemma":0.000043906155,"teacher_disagreement_score":0.09361411,"about_ca_system_score_codex":0.00011361845,"about_ca_system_score_gemma":0.00011100685,"threshold_uncertainty_score":0.39195624},"labels":[],"label_agreement":null},{"id":"W4409604972","doi":"10.61091/jcmcc127b-312","title":"Research on Multidimensional Computational Optimization of Enterprise Organizational Structure Supported by PSACO Algorithm in the Era of Digital Economy","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Digital economy; Computer science; Organizational structure; Industrial engineering; Algorithm; Economy; Economics; Management; Engineering; World Wide Web","score_opus":0.009080086187245297,"score_gpt":0.2655627834358477,"score_spread":0.2564826972486024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9059449,0.00015231158,0.08207701,0.0014056966,0.006741199,0.0008695039,0.000046275873,0.00002283472,0.0027403065],"genre_scores_gemma":[0.9968327,0.0000035241665,0.0025964724,0.00006867352,0.0004423988,0.0000013944107,0.000036761445,0.000015086274,0.0000029399719],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99769926,0.00006976732,0.0011416741,0.00016245943,0.00075778447,0.0001690391],"domain_scores_gemma":[0.99559665,0.001190399,0.0010316863,0.00014218748,0.0020219013,0.000017200719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012451455,0.00017107853,0.00043435232,0.000506737,0.00016868442,0.00025727475,0.00035665606,0.00010030173,0.00002935433],"category_scores_gemma":[0.0005814442,0.00014032108,0.000072059214,0.0011724095,0.00012518257,0.00045858748,0.00018356342,0.00044867166,6.942071e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021169092,0.0015000293,0.00302121,0.00031931204,0.00012064791,0.000006390593,0.00047227036,0.050989036,0.00013601546,0.9387247,0.0035977352,0.00090096483],"study_design_scores_gemma":[0.0064963293,0.00024718235,0.00047702622,0.0008161256,0.00007274679,0.000010216234,0.0015181976,0.30510652,0.0004137779,0.6838212,0.00078201696,0.00023864691],"about_ca_topic_score_codex":0.0000091154125,"about_ca_topic_score_gemma":3.3192148e-7,"teacher_disagreement_score":0.2549035,"about_ca_system_score_codex":0.00006433482,"about_ca_system_score_gemma":0.00020340737,"threshold_uncertainty_score":0.57221276},"labels":[],"label_agreement":null},{"id":"W4409604974","doi":"10.61091/jcmcc127b-254","title":"Research on Physical Education Evaluation Model Based on Stochastic Simulation Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm","score_opus":0.061297909588181224,"score_gpt":0.42051784863926317,"score_spread":0.35921993905108196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604974","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17878656,0.00007860375,0.80465126,0.001250057,0.01213976,0.0004958813,8.8751915e-7,0.000052518324,0.002544438],"genre_scores_gemma":[0.9842365,0.0000016476497,0.014893469,0.000102964295,0.00072883425,0.000009810567,0.0000016359647,0.000011330608,0.00001381749],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973205,0.00030433337,0.0005919391,0.0002928848,0.0012294747,0.0002608838],"domain_scores_gemma":[0.99441534,0.002827802,0.00045319003,0.00040939762,0.0017980294,0.0000962214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036630183,0.00019602517,0.00037612187,0.0008208979,0.00042808324,0.00019943227,0.00066811877,0.00017950675,0.0000016155936],"category_scores_gemma":[0.001058656,0.00018056847,0.00010219852,0.0007912708,0.000085803505,0.00020806395,0.00014151128,0.00079579,0.0000040877308],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034249213,0.0013682737,0.0000032341127,0.000030506906,0.000020145777,5.8306875e-7,0.0003738409,0.14519921,0.000029502049,0.8155997,0.00017404823,0.037166726],"study_design_scores_gemma":[0.00084615935,0.000371444,0.000025515017,0.00021659762,0.00001895641,0.0000016763413,0.00008544771,0.5223093,0.00010944257,0.47591248,0.000028742195,0.00007420281],"about_ca_topic_score_codex":0.0000022336424,"about_ca_topic_score_gemma":5.481814e-8,"teacher_disagreement_score":0.8054499,"about_ca_system_score_codex":0.00027055154,"about_ca_system_score_gemma":0.0015882911,"threshold_uncertainty_score":0.7363369},"labels":[],"label_agreement":null},{"id":"W4409604975","doi":"10.61091/jcmcc127b-332","title":"Interdisciplinary Platform Construction Model for Rural Revitalization Talent Cultivation Based on Deep Reinforcement Learning Algorithm in the Perspective of Digital Economy–Taking Ningbo Future Rural College as an Example","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Reinforcement learning; Artificial intelligence; Rural economy; Computer science; Engineering; Industrial engineering; Engineering management; Sociology; Machine learning; Management; Algorithm; Economics; Agriculture; Geography; Archaeology","score_opus":0.02243280241164606,"score_gpt":0.3238933061461485,"score_spread":0.3014605037345024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7623955,0.000113111346,0.22981347,0.0006070594,0.002549018,0.0015982334,0.0000044194085,0.00001877257,0.0029003872],"genre_scores_gemma":[0.99709994,0.000011455809,0.0024323843,0.000026780994,0.00037057349,0.000010146991,0.00002873002,0.000013028058,0.0000069801067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982927,0.00005878634,0.0007988557,0.00013935448,0.00049628643,0.00021405633],"domain_scores_gemma":[0.9978271,0.0005568244,0.00076823373,0.00013754836,0.000604604,0.000105705825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010064177,0.00018419679,0.00050179526,0.0002831466,0.00023582319,0.00009427848,0.00014117737,0.00011361113,0.0000029844648],"category_scores_gemma":[0.0006334994,0.00013221739,0.00014264927,0.00025758642,0.000078341734,0.0002671817,0.00007650212,0.00038316156,1.5974905e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016219212,0.0012726352,0.0005005778,0.00047036243,0.00018120954,0.000015524663,0.0060087815,0.0036718042,0.000046073514,0.9753054,0.000041531897,0.010864194],"study_design_scores_gemma":[0.0073074265,0.0025659597,0.00008400214,0.0010054724,0.00008072845,0.000027989392,0.017405495,0.63556165,0.00009044343,0.33577314,0.000013182207,0.00008452011],"about_ca_topic_score_codex":0.000009759104,"about_ca_topic_score_gemma":5.2655986e-7,"teacher_disagreement_score":0.6395322,"about_ca_system_score_codex":0.0003442951,"about_ca_system_score_gemma":0.0002823954,"threshold_uncertainty_score":0.53916687},"labels":[],"label_agreement":null},{"id":"W4409604977","doi":"10.61091/jcmcc127b-317","title":"Optimizing Software Supply Chain Vulnerability Mining and Remediation Paths Using Deep Learning Techniques","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China National Offshore Oil Corporation","keywords":"Vulnerability (computing); Environmental remediation; Supply chain; Computer science; Software; Artificial intelligence; Environmental science; Business; Computer security; Contamination","score_opus":0.011166349749001705,"score_gpt":0.2621494724024331,"score_spread":0.25098312265343137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6465314,0.00057406025,0.34594855,0.00009042416,0.0063927267,0.0002702031,2.8826213e-7,0.00012310555,0.00006923793],"genre_scores_gemma":[0.7990039,0.00006146641,0.20043191,0.00002030343,0.00046227168,0.000002395486,4.8256356e-7,0.0000148389145,0.000002432751],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971385,0.00027788145,0.0012983216,0.00036157545,0.0005582076,0.00036548948],"domain_scores_gemma":[0.9964745,0.001258311,0.001079368,0.0003320095,0.0007058356,0.00014999398],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0040827966,0.00030566778,0.0007929516,0.00034057314,0.0006418994,0.0004451391,0.00053130777,0.00024065336,9.665681e-7],"category_scores_gemma":[0.0017048391,0.00027238732,0.00014042376,0.000554313,0.000105044215,0.0006248086,0.0005542058,0.0005658922,1.9266741e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026662025,0.0015180052,0.06762173,0.0041729202,0.0005317645,0.000087408174,0.029214703,0.0014782684,0.004122165,0.5074363,0.000113088616,0.38343707],"study_design_scores_gemma":[0.0062462664,0.001581815,0.0020242038,0.0037801734,0.00023445474,0.00030578888,0.0020351468,0.52406883,0.0066223433,0.45133945,0.0006137499,0.0011477707],"about_ca_topic_score_codex":0.000011806514,"about_ca_topic_score_gemma":4.1054736e-7,"teacher_disagreement_score":0.5225906,"about_ca_system_score_codex":0.00017961918,"about_ca_system_score_gemma":0.00020537616,"threshold_uncertainty_score":0.9999728},"labels":[],"label_agreement":null},{"id":"W4409604980","doi":"10.61091/jcmcc127b-339","title":"Research on the optimization of piano technique training based on Monte Carlo algorithm under the innovation framework of music education in colleges and universities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Piano; Monte Carlo method; Computer science; Music education; Training (meteorology); Mathematics education; Algorithm; Psychology; Mathematics; Pedagogy; Art; Physics; Art history; Statistics","score_opus":0.04171782263101148,"score_gpt":0.34146074879019933,"score_spread":0.29974292615918785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67857975,0.00016299692,0.3108327,0.004520441,0.0042740186,0.0005522492,0.0000014363344,0.000015878384,0.0010605197],"genre_scores_gemma":[0.97603834,0.000015165887,0.023748083,0.00007575613,0.00010456078,0.0000045743523,2.782932e-7,0.0000053257063,0.000007946522],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99847394,0.0002921551,0.00056913635,0.00012951592,0.00040377316,0.00013147178],"domain_scores_gemma":[0.9947713,0.0035727452,0.0005546073,0.00024325818,0.00083906105,0.000019002788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032067194,0.000109336375,0.0002777374,0.00073387637,0.00025067612,0.000059023434,0.00050272176,0.0001568274,0.0000013640811],"category_scores_gemma":[0.00038545986,0.00007834146,0.000035989724,0.0014798673,0.00020347534,0.00010401762,0.0001262521,0.0006138672,4.4651838e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028022305,0.0002715048,0.000042331296,0.00005122279,0.000019011564,4.909143e-7,0.0014662585,0.004238884,0.000038805836,0.9917939,0.000060764258,0.00198881],"study_design_scores_gemma":[0.00071312307,0.0005077348,0.0003198895,0.0012353669,0.000014148328,0.000005467673,0.010568166,0.11096232,0.0009890045,0.87456214,0.00004184303,0.00008080599],"about_ca_topic_score_codex":0.000016720838,"about_ca_topic_score_gemma":3.9724952e-7,"teacher_disagreement_score":0.29745856,"about_ca_system_score_codex":0.00009366699,"about_ca_system_score_gemma":0.001135362,"threshold_uncertainty_score":0.3194672},"labels":[],"label_agreement":null},{"id":"W4409604986","doi":"10.61091/jcmcc127b-292","title":"Research on optimization method of cross-border e-commerce supply chain resource allocation based on Hamiltonian loop algorithm in digital economy environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Supply chain; E-commerce; Computer science; Loop (graph theory); Hamiltonian (control theory); Economics; Business; Mathematical optimization; Mathematics; Marketing; World Wide Web; Combinatorics","score_opus":0.017903621469610328,"score_gpt":0.32825476284810107,"score_spread":0.31035114137849074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51907736,0.00013685577,0.39178702,0.009239418,0.0083051715,0.0020049212,0.00001091628,0.00013544346,0.06930289],"genre_scores_gemma":[0.990202,0.0000055402365,0.00882332,0.00029804025,0.0005812313,0.000007935633,0.0000144068945,0.000031556254,0.00003595332],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997711,0.000061132065,0.0011575599,0.00026491715,0.0004968186,0.000308584],"domain_scores_gemma":[0.9971384,0.0010110881,0.00085927855,0.00033018616,0.0006379,0.000023136841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003161818,0.00023849888,0.0005598086,0.0014413926,0.00028738318,0.0004001118,0.00040288115,0.00023137958,0.000021943753],"category_scores_gemma":[0.0005574951,0.00023330108,0.00010204145,0.0010371469,0.00019618416,0.00045075789,0.00023597099,0.00075855124,0.0000044890035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013857608,0.0013734275,0.001479015,0.00020314624,0.0000550453,0.0000063335606,0.000072830226,0.029670956,0.000021500577,0.9554256,0.0003666445,0.011186912],"study_design_scores_gemma":[0.008040664,0.00054652116,0.0008875069,0.0012376081,0.0000655211,0.0000053730028,0.0009535737,0.6003559,0.00034142053,0.37835544,0.008816044,0.00039441604],"about_ca_topic_score_codex":0.000027160095,"about_ca_topic_score_gemma":4.157778e-7,"teacher_disagreement_score":0.5770702,"about_ca_system_score_codex":0.00015201136,"about_ca_system_score_gemma":0.00008993468,"threshold_uncertainty_score":0.9513742},"labels":[],"label_agreement":null},{"id":"W4409604992","doi":"10.61091/jcmcc127b-260","title":"Optimal selection method of financial market investment portfolio based on monarch butterfly optimization algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Butterfly; Monarch butterfly; Portfolio; Computer science; Optimization algorithm; Portfolio optimization; Finance; Mathematical optimization; Algorithm; Mathematics; Business; Artificial intelligence; Biology; Ecology","score_opus":0.008566508019072326,"score_gpt":0.2687112091446158,"score_spread":0.2601447011255435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604992","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055089192,0.00006096336,0.9851979,0.0002369115,0.007091276,0.00027891356,0.0000012581547,0.00007751928,0.0015463358],"genre_scores_gemma":[0.24223673,0.000015441421,0.75739473,0.00011238806,0.00021174792,0.0000035947737,5.636378e-7,0.000014374819,0.00001041183],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973131,0.00017134157,0.001197638,0.00031493657,0.00068574294,0.0003172421],"domain_scores_gemma":[0.9966138,0.0009656685,0.0012265687,0.00039828353,0.0007053318,0.00009036703],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017888506,0.00029091214,0.00072864647,0.00060536456,0.00022412685,0.00013372266,0.00092125376,0.00029408286,0.0000045623015],"category_scores_gemma":[0.00091633265,0.00027577617,0.00017002776,0.0009564574,0.00008178843,0.00025359506,0.00043251217,0.0006519887,2.2157809e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009875303,0.0007115218,0.0000720231,0.00012945048,0.00006196619,0.000016747283,0.00016074197,0.0652102,0.00009840596,0.90902025,0.0005843843,0.023835573],"study_design_scores_gemma":[0.00206989,0.001016942,0.000044893623,0.00027574052,0.000037806254,0.000027831033,0.00002429899,0.68746656,0.0028725294,0.3057888,0.00020757105,0.00016713151],"about_ca_topic_score_codex":0.0000050573162,"about_ca_topic_score_gemma":5.969512e-8,"teacher_disagreement_score":0.6222564,"about_ca_system_score_codex":0.00017748639,"about_ca_system_score_gemma":0.00041583113,"threshold_uncertainty_score":0.9999694},"labels":[],"label_agreement":null},{"id":"W4409604993","doi":"10.61091/jcmcc127b-261","title":"Prediction method of regional economic development level based on SOM algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm","score_opus":0.018715412496655474,"score_gpt":0.25222411210610396,"score_spread":0.23350869960944848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604993","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061949834,0.00024798472,0.9155912,0.000049825354,0.020041557,0.00029472867,0.000009951815,0.00006852809,0.0017464014],"genre_scores_gemma":[0.9311437,0.0000117529935,0.06811398,0.000014314519,0.00067546155,0.000002214271,0.0000020594534,0.000027479506,0.000009035622],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980996,0.000062941515,0.0011525966,0.00013473092,0.00034951948,0.00020060755],"domain_scores_gemma":[0.99846095,0.0006129591,0.00046429166,0.00016465783,0.00021115482,0.000085984044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094144413,0.00022592404,0.0006784404,0.0002650382,0.0001154073,0.000048912214,0.00020720706,0.00013565208,0.000002747559],"category_scores_gemma":[0.000069796886,0.00021362051,0.00013864753,0.00013664475,0.000030149606,0.00008968369,0.000037098485,0.00029633977,9.158962e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033016765,0.00086081447,0.00024951078,0.0012562986,0.0009217419,0.00001820619,0.0014250482,0.13608849,0.003663567,0.7513228,0.0013432489,0.10252013],"study_design_scores_gemma":[0.006863494,0.0003984755,0.00024158908,0.0009968161,0.00010373142,0.000027977534,0.000223754,0.84798,0.005696461,0.13380726,0.0033669937,0.00029345157],"about_ca_topic_score_codex":0.000002854056,"about_ca_topic_score_gemma":1.8398954e-7,"teacher_disagreement_score":0.86919385,"about_ca_system_score_codex":0.00020337061,"about_ca_system_score_gemma":0.00016498967,"threshold_uncertainty_score":0.8711192},"labels":[],"label_agreement":null},{"id":"W4409604998","doi":"10.61091/jcmcc127b-346","title":"A fuzzy logic modeling study on quantitative evaluation of students’ skill level in piano teaching","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Music Education Insights","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Piano; Fuzzy logic; Computer science; Mathematics education; Psychology; Artificial intelligence; Acoustics","score_opus":0.1399578279168708,"score_gpt":0.36782792071373954,"score_spread":0.22787009279686873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96990114,0.00008855636,0.00032132168,0.00007746567,0.01435007,0.0005586103,0.0000019372555,0.00001115794,0.014689734],"genre_scores_gemma":[0.99894017,0.0000028508016,0.00050756463,0.000027139125,0.00047877932,0.0000045850775,7.808236e-7,0.000014991157,0.000023153874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996649,0.00042770125,0.0013025751,0.00019725254,0.001231482,0.00019198464],"domain_scores_gemma":[0.99683774,0.00071369624,0.00092463946,0.00019146274,0.0012756337,0.000056859302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053452696,0.00022312078,0.0006699289,0.0005881115,0.00029914096,0.00027292236,0.0003859772,0.00006621114,0.000014476967],"category_scores_gemma":[0.0011115408,0.00019247641,0.00011067244,0.0001434001,0.00007665601,0.00022798823,0.00015288914,0.0004829883,0.0000017141223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082137725,0.0032598777,0.0003646722,0.00007006658,0.00014400433,0.000003316181,0.08025221,0.0007354568,0.000018284556,0.91467667,0.00006309582,0.00033019192],"study_design_scores_gemma":[0.00774595,0.0012633927,0.00032360738,0.0010189504,0.0002658884,0.0000018464981,0.07984449,0.014315735,0.000023072991,0.8948907,0.00010008373,0.0002062261],"about_ca_topic_score_codex":0.000078541874,"about_ca_topic_score_gemma":0.000009222861,"teacher_disagreement_score":0.029039009,"about_ca_system_score_codex":0.00019623306,"about_ca_system_score_gemma":0.00024245486,"threshold_uncertainty_score":0.784896},"labels":[],"label_agreement":null},{"id":"W4409605000","doi":"10.61091/jcmcc127b-271","title":"Intelligent Classification Algorithm for Online Teaching Resources in Higher Vocational Colleges Integrating Multimodal Information","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Computer science; Artificial intelligence; Psychology; Pedagogy","score_opus":0.02907858418290525,"score_gpt":0.3186344936608357,"score_spread":0.2895559094779304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605000","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16721545,0.00026841645,0.81011003,0.003950048,0.016765587,0.00053896,0.0000065330055,0.00007043146,0.0010745471],"genre_scores_gemma":[0.68797237,0.000014490558,0.3113886,0.000091118665,0.0004920721,0.000008826388,0.0000061302576,0.000006987035,0.000019397674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997976,0.00010851644,0.001195658,0.00017487784,0.0003253158,0.00021962877],"domain_scores_gemma":[0.9968111,0.001425265,0.0008729309,0.00020168483,0.0006278798,0.000061147504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018471362,0.00018976648,0.0004154308,0.0005739762,0.00028739544,0.00023843019,0.00067393685,0.00020003832,0.0000016657539],"category_scores_gemma":[0.0008117278,0.00017584945,0.00009679094,0.00040251316,0.00006245259,0.0006109006,0.00019160486,0.0005816801,6.440561e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017396425,0.00038208824,0.0001253356,0.00006465162,0.000034435026,6.287159e-7,0.0011576031,0.000027473612,0.000054700125,0.85296583,0.00015486714,0.14501496],"study_design_scores_gemma":[0.0028190124,0.00032497593,0.002608128,0.00050743687,0.000029798588,0.00001956214,0.0013920389,0.24516016,0.0001881888,0.7377303,0.008991267,0.00022909591],"about_ca_topic_score_codex":0.000012649399,"about_ca_topic_score_gemma":0.0000010154263,"teacher_disagreement_score":0.5207569,"about_ca_system_score_codex":0.00016602884,"about_ca_system_score_gemma":0.00029174384,"threshold_uncertainty_score":0.7170932},"labels":[],"label_agreement":null},{"id":"W4409605004","doi":"10.61091/jcmcc127b-2651","title":"Face recognition detection based on deep learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Face recognition and analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Deep learning; Pattern recognition (psychology)","score_opus":0.012077858783816585,"score_gpt":0.24564201250758916,"score_spread":0.23356415372377257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605004","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.079317056,0.00010078874,0.908807,0.00039852265,0.008799526,0.00016059753,3.7088495e-7,0.000092410075,0.0023237653],"genre_scores_gemma":[0.9906734,0.00002457288,0.008885726,0.00009715967,0.00029322846,0.0000017155471,9.589505e-7,0.000012009322,0.00001118435],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979776,0.00020300348,0.00079404935,0.00024270455,0.00053467765,0.0002479635],"domain_scores_gemma":[0.99751884,0.00082945527,0.00074525864,0.00020967724,0.0005715384,0.00012520807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014029418,0.0002259941,0.000509044,0.0005443349,0.0003833957,0.00041068223,0.000432867,0.00014514547,0.000005151278],"category_scores_gemma":[0.0007466091,0.00020890108,0.00022284983,0.000790602,0.000038323768,0.0002761068,0.00013090041,0.0005894472,0.000007503384],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020456215,0.0017704647,0.00016289525,0.00044694307,0.000346525,0.00004924679,0.0012135506,0.005673878,0.0023165345,0.48751506,0.00012784249,0.5001725],"study_design_scores_gemma":[0.0032518837,0.00072465127,0.0000556252,0.0005095264,0.00009147189,0.000019361023,0.00022310442,0.6681334,0.0053832247,0.3208324,0.00051864557,0.00025670862],"about_ca_topic_score_codex":0.0000030837573,"about_ca_topic_score_gemma":3.192856e-7,"teacher_disagreement_score":0.9113564,"about_ca_system_score_codex":0.0001023829,"about_ca_system_score_gemma":0.00009358426,"threshold_uncertainty_score":0.8518739},"labels":[],"label_agreement":null},{"id":"W4409605011","doi":"10.61091/jcmcc27b-324","title":"A Study on Cross-Cultural Analysis of Social Media Data and Leisure Travel Preference Prediction Supported by Cluster Analysis Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preference; Cluster (spacecraft); Social media; Computer science; Psychology; Advertising; Statistics; Mathematics; World Wide Web; Business","score_opus":0.08096867488793438,"score_gpt":0.3862646216275371,"score_spread":0.3052959467396027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922151,0.000078641875,0.0016537958,0.00017278668,0.003390306,0.00037506624,0.00012623992,0.000017081604,0.0019710101],"genre_scores_gemma":[0.9991508,0.00002874403,0.0003077421,0.0000073396545,0.00042001868,0.0000016824783,0.000031808904,0.000008734261,0.000043098386],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99626684,0.0005141175,0.0011683084,0.00035560134,0.001403031,0.000292075],"domain_scores_gemma":[0.9958186,0.0015848678,0.0009528783,0.00032739958,0.0011633877,0.00015285895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048991553,0.00021809756,0.001128226,0.0007443562,0.00062322576,0.00050327374,0.0008493124,0.0002097849,0.000016719687],"category_scores_gemma":[0.0013687612,0.00019286774,0.0002094115,0.0021137176,0.00039805748,0.00045423215,0.00047596832,0.00049547106,2.3465014e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007173172,0.0064532403,0.18341492,0.0002421682,0.026627745,0.0000479859,0.11386612,0.00006004686,0.00015625975,0.6545334,0.0036801482,0.0102006635],"study_design_scores_gemma":[0.045902688,0.004786423,0.27028063,0.00072687276,0.047775052,0.000009074674,0.20819719,0.1278184,0.00044208384,0.2872396,0.004656079,0.0021658929],"about_ca_topic_score_codex":0.000106775886,"about_ca_topic_score_gemma":0.000022926195,"teacher_disagreement_score":0.36729378,"about_ca_system_score_codex":0.000099906094,"about_ca_system_score_gemma":0.00027630507,"threshold_uncertainty_score":0.7864918},"labels":[],"label_agreement":null},{"id":"W4409605012","doi":"10.61091/jcmcc127b-287","title":"Module Efficiency Improvement Method Based on Gray Wolf Optimization Algorithm in Intelligent Management Environment of Photovoltaic Power Plants","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Gray (unit); Computer science; Optimization algorithm; Power (physics); Algorithm; Engineering; Mathematical optimization; Electrical engineering; Mathematics; Medicine","score_opus":0.006449205979093529,"score_gpt":0.23445847368780587,"score_spread":0.22800926770871233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605012","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10736748,0.00034875044,0.8665671,0.000047823713,0.018709391,0.0006950484,0.0000041588437,0.000029489938,0.0062307687],"genre_scores_gemma":[0.9592513,0.0000751174,0.04040769,0.00003050247,0.00016172617,0.0000073273436,0.0000026442262,0.000029400071,0.000034285174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969452,0.00016359675,0.0015578996,0.00028308338,0.0007167495,0.00033347897],"domain_scores_gemma":[0.9980972,0.0003668203,0.0010036579,0.00031505243,0.00010863456,0.00010866128],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017997717,0.00031657924,0.00082381646,0.0005932366,0.00011488705,0.00006737752,0.00036011916,0.00016491427,0.000015071201],"category_scores_gemma":[0.00006478187,0.00026753158,0.0001795204,0.00034876558,0.000044662967,0.00006858445,0.00017591855,0.0002741388,7.068963e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002320495,0.0029777759,0.000048073594,0.00036892074,0.00025399285,0.000044920453,0.00049054506,0.67998147,0.0012456824,0.2966769,0.00007294497,0.017606728],"study_design_scores_gemma":[0.0077200113,0.0015324123,0.000041487157,0.0016443171,0.0001005451,0.000008505403,0.0006407839,0.8802705,0.018500939,0.08775844,0.0014008604,0.0003812369],"about_ca_topic_score_codex":0.00011637927,"about_ca_topic_score_gemma":0.0000010809167,"teacher_disagreement_score":0.8518838,"about_ca_system_score_codex":0.00026102416,"about_ca_system_score_gemma":0.000080502534,"threshold_uncertainty_score":0.9999777},"labels":[],"label_agreement":null},{"id":"W4409605015","doi":"10.61091/jcmcc127b-299","title":"A study on the application of AI algorithms in cross-cultural marketing strategies","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Algorithm","score_opus":0.04724581842849753,"score_gpt":0.39796963202398666,"score_spread":0.35072381359548915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97581077,0.00006789866,0.0004463195,0.0006708902,0.0038860992,0.0006022156,8.663888e-7,0.000012060047,0.018502887],"genre_scores_gemma":[0.99933153,0.000011031589,0.00018784776,0.00001700864,0.0004169136,0.000004507401,1.9288214e-7,0.000007218979,0.000023772569],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99725664,0.0006148539,0.00087159243,0.00015458184,0.00086542347,0.00023691556],"domain_scores_gemma":[0.9957569,0.0025268148,0.0005965957,0.0001907955,0.0008705249,0.000058344052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008718496,0.00013997039,0.0004328909,0.00020343966,0.0004316553,0.00048903335,0.00062236283,0.0001031004,0.0000042571382],"category_scores_gemma":[0.0022022668,0.0001037336,0.00009348861,0.0006014012,0.00030279852,0.00031270395,0.00019537174,0.0006085032,6.655815e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103341365,0.0006538948,0.008523576,0.00005285328,0.000053645927,0.00000861017,0.007471703,0.000022995784,0.000040109026,0.98146087,0.000072679206,0.0015357035],"study_design_scores_gemma":[0.004062231,0.0006002611,0.0052211685,0.00052324584,0.000038947343,0.0000023139767,0.07104711,0.0014674541,0.00011017625,0.9153964,0.0013398752,0.00019084821],"about_ca_topic_score_codex":0.00016561041,"about_ca_topic_score_gemma":0.000009514053,"teacher_disagreement_score":0.06606452,"about_ca_system_score_codex":0.00012061347,"about_ca_system_score_gemma":0.00040617064,"threshold_uncertainty_score":0.47157598},"labels":[],"label_agreement":null},{"id":"W4409605016","doi":"10.61091/jcmcc127b-309","title":"Cultural heritage education-driven utilization of NSGA algorithms to construct innovative path design for the inheritance of non-heritage music and art","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Construct (python library); Inheritance (genetic algorithm); Path (computing); Cultural heritage; Computer science; Artificial intelligence; History; Biology; Archaeology; Genetics; Programming language","score_opus":0.02793763030450201,"score_gpt":0.2902924874480691,"score_spread":0.2623548571435671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605016","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34209096,0.0006570982,0.64651316,0.0003731204,0.009358395,0.00073950825,0.0000034070133,0.000020534206,0.00024384499],"genre_scores_gemma":[0.9071376,0.000047206377,0.09256107,0.000047777812,0.00017808987,0.000009984915,3.9011846e-7,0.000007639362,0.000010284149],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983869,0.00007653336,0.0008974076,0.00019159162,0.0002669536,0.00018057652],"domain_scores_gemma":[0.9962136,0.0011855466,0.00088228064,0.00024669126,0.0014240373,0.00004784694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010568795,0.00019320939,0.0006232485,0.00017256029,0.00028425912,0.00009531664,0.00056145317,0.000117948366,6.0024183e-7],"category_scores_gemma":[0.0007378377,0.00014506507,0.00007704398,0.00077880785,0.00022907628,0.00020127844,0.0003127315,0.00021960714,1.0638806e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005322399,0.00026860478,0.0002749623,0.00026570572,0.00017459717,0.0000011160645,0.0062859,0.00003087899,0.0009744189,0.98111266,0.0013706567,0.009187297],"study_design_scores_gemma":[0.00475299,0.0016453577,0.0017367428,0.0015454688,0.00015405836,0.000044677723,0.0069786184,0.036983266,0.0038215255,0.94038284,0.0015329239,0.00042155964],"about_ca_topic_score_codex":0.0000036982196,"about_ca_topic_score_gemma":5.2409604e-7,"teacher_disagreement_score":0.5650466,"about_ca_system_score_codex":0.000037234862,"about_ca_system_score_gemma":0.00028612,"threshold_uncertainty_score":0.59155816},"labels":[],"label_agreement":null},{"id":"W4409605028","doi":"10.61091/jcmcc127b-349","title":"An Innovative Path for UAV Tilt Photography Image Processing Based on K-means Algorithm in Civil Engineering Disaster Management","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photography; Path (computing); Tilt (camera); Computer science; Computer vision; Image (mathematics); Artificial intelligence; Emergency management; Image processing; Computer graphics (images); Engineering; Political science; Visual arts; Art","score_opus":0.0064945941065665,"score_gpt":0.2543561748393178,"score_spread":0.24786158073275127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605028","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015475983,0.00005184173,0.97794837,0.00013836329,0.00509189,0.00050349283,0.0000016512317,0.00011233453,0.00067609746],"genre_scores_gemma":[0.63148093,0.000005045777,0.36830038,0.000053412125,0.00012825061,0.0000120809345,7.169537e-7,0.000017943441,0.0000012100733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99777734,0.000046958052,0.0009545551,0.00036112854,0.00045229163,0.00040770715],"domain_scores_gemma":[0.99782103,0.0005306037,0.00061763247,0.00045120204,0.0005043791,0.00007514656],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011846821,0.0003199016,0.0006032571,0.0008235253,0.00018454937,0.000350252,0.0010924586,0.00018129655,5.344132e-7],"category_scores_gemma":[0.00023840815,0.0003000313,0.000112429145,0.0014438663,0.00006371781,0.00044468459,0.00031145252,0.000578538,1.7101513e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064298096,0.0009823462,0.00006348434,0.00050142343,0.00006272156,0.000047006324,0.0010601645,0.001672902,0.00025762487,0.94461024,0.000055460074,0.05062234],"study_design_scores_gemma":[0.0035541065,0.0007506273,0.000053730702,0.0009453674,0.000020678995,0.000006068576,0.00025015033,0.62311137,0.0006977103,0.37010005,0.00025284663,0.00025730077],"about_ca_topic_score_codex":0.000001521415,"about_ca_topic_score_gemma":3.215567e-7,"teacher_disagreement_score":0.62143844,"about_ca_system_score_codex":0.00013870488,"about_ca_system_score_gemma":0.00010657638,"threshold_uncertainty_score":0.99994516},"labels":[],"label_agreement":null},{"id":"W4409605031","doi":"10.61091/jcmcc127b-295","title":"Optimization Research on Traffic Flow Scheduling of Intelligent Transportation Information Management System Based on MPSO Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science and Technology Department of Guangxi Zhuang Autonomous","keywords":"Computer science; Scheduling (production processes); Intelligent transportation system; Advanced Traffic Management System; Operations research; Algorithm; Transport engineering; Engineering; Operations management","score_opus":0.01990232431566338,"score_gpt":0.2753071039687152,"score_spread":0.25540477965305186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605031","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26696444,0.00004183523,0.7108233,0.0010469843,0.012917605,0.0010860638,0.0000055724427,0.00014358459,0.006970604],"genre_scores_gemma":[0.97492105,0.0000059126496,0.024523763,0.00007774345,0.0004283422,0.0000060449142,0.000019872741,0.000015096178,0.0000021809358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976712,0.000036286317,0.0012108276,0.00014281884,0.00071306655,0.000225834],"domain_scores_gemma":[0.9972438,0.000323677,0.00094680197,0.00021687947,0.0012507251,0.0000181125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021421914,0.00019608402,0.00043123725,0.0016863603,0.00036996917,0.0002168845,0.00032804234,0.000153934,0.000004842842],"category_scores_gemma":[0.00014886116,0.00018376674,0.000108478205,0.0014519496,0.00008856299,0.0004432554,0.000055721197,0.0004943658,0.000004270889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008666333,0.00043470145,0.000046083263,0.00079931016,0.00007606691,0.00000376961,0.000098037075,0.11858989,0.000005031616,0.8633026,0.00014363864,0.01641422],"study_design_scores_gemma":[0.003219255,0.00024924643,0.00007162938,0.0022609679,0.00013859248,0.0000011371656,0.0028275761,0.92014873,0.00021989382,0.07009319,0.0005872042,0.00018255603],"about_ca_topic_score_codex":0.000009505494,"about_ca_topic_score_gemma":2.3104691e-7,"teacher_disagreement_score":0.80155885,"about_ca_system_score_codex":0.000109537126,"about_ca_system_score_gemma":0.00006255148,"threshold_uncertainty_score":0.749379},"labels":[],"label_agreement":null},{"id":"W4409605032","doi":"10.61091/jcmcc127b-343","title":"Research on Deep Reinforcement Learning-based Coordinated Control Strategy for Multi-Intelligent Bodies under Software System Architecture","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Architecture; Computer science; Control (management); Control software; Computer architecture; Software; Reinforcement; Artificial intelligence; Software engineering; Engineering; Operating system; Structural engineering; History","score_opus":0.0388020049595581,"score_gpt":0.3058544539241756,"score_spread":0.2670524489646175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02295481,0.0002325577,0.9650095,0.000073093346,0.008495966,0.0008496372,0.0000041668786,0.00018965312,0.0021905797],"genre_scores_gemma":[0.99783444,0.000007069006,0.0016930806,0.000015811904,0.00035778456,0.000018274386,0.0000044787653,0.000046697733,0.000022356347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99737734,0.00012145638,0.0012149696,0.00017709726,0.00063446705,0.00047469177],"domain_scores_gemma":[0.996511,0.0017965446,0.00033119612,0.00019350785,0.0010090539,0.00015868594],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017300958,0.00032705758,0.0006915279,0.0005329931,0.0003970211,0.00036421663,0.00036518156,0.00027238496,0.0000030966758],"category_scores_gemma":[0.0003472617,0.00029611713,0.00019810825,0.0003417474,0.00009477158,0.0001265209,0.000045812176,0.0011257988,0.0000023625837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017714026,0.00016368317,0.000010943533,0.0012006768,0.00020967053,0.000005675257,0.00020766465,0.6671281,0.000027358587,0.32955632,0.00018138842,0.0011314051],"study_design_scores_gemma":[0.012556898,0.0015538618,0.000019966847,0.002684507,0.00013764638,0.000021973836,0.0032823966,0.898869,0.0022200728,0.07718421,0.0010196551,0.00044982196],"about_ca_topic_score_codex":0.000002459232,"about_ca_topic_score_gemma":3.8127263e-7,"teacher_disagreement_score":0.9748796,"about_ca_system_score_codex":0.00037801111,"about_ca_system_score_gemma":0.00016389073,"threshold_uncertainty_score":0.9999491},"labels":[],"label_agreement":null},{"id":"W4409605034","doi":"10.61091/jcmcc127b-305","title":"Research on corporate profitability prediction model integrating fuzzy logic and financial ratios","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Jilin Office of Philosophy and Social Science","keywords":"Profitability index; Fuzzy logic; Business; Finance; Computer science; Econometrics; Artificial intelligence; Economics","score_opus":0.03951545893035772,"score_gpt":0.300927323650689,"score_spread":0.2614118647203313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683293,0.00011561917,0.011620346,0.0006695143,0.01085833,0.00065261417,0.000002861852,0.00006378749,0.0076876376],"genre_scores_gemma":[0.996552,0.000011152502,0.0013459984,0.00013754705,0.0019107912,0.000007743742,0.0000022479603,0.000018684741,0.000013831923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975603,0.00008599941,0.001077109,0.00028365263,0.000701753,0.00029113705],"domain_scores_gemma":[0.99614215,0.0006373991,0.0010714605,0.00021528351,0.001895863,0.000037864236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037792926,0.0002454138,0.00052973675,0.0006213546,0.00065662997,0.0007798817,0.00028314706,0.00016672963,0.0000038005157],"category_scores_gemma":[0.0026753547,0.00021386586,0.0000803643,0.0009812694,0.00015700985,0.0006120254,0.00036149708,0.00074643,0.000002599424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020393601,0.00035200987,0.0013411762,0.00035784292,0.0000251271,0.0000050951653,0.00020800925,0.0006648235,0.00022668991,0.9940381,0.0011862741,0.001390904],"study_design_scores_gemma":[0.0021454017,0.00019576146,0.00034889684,0.00058286334,0.0000511711,0.0000039127845,0.00058932323,0.08889745,0.000085621425,0.90663683,0.00031057416,0.00015217558],"about_ca_topic_score_codex":0.000011472209,"about_ca_topic_score_gemma":0.0000018582948,"teacher_disagreement_score":0.08823263,"about_ca_system_score_codex":0.00012624035,"about_ca_system_score_gemma":0.0002491075,"threshold_uncertainty_score":0.87211967},"labels":[],"label_agreement":null},{"id":"W4409605037","doi":"10.61091/jcmcc127b-285","title":"Integrated electromagnetic and noise optimization design of Fe-based soft magnetic composite core reactor based on genetic algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Laser and Thermal Forming Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genetic algorithm; Core (optical fiber); Composite number; Noise (video); Acoustics; Computer science; Materials science; Algorithm; Physics; Composite material; Artificial intelligence; Machine learning","score_opus":0.0077340493242346155,"score_gpt":0.21539933555032395,"score_spread":0.20766528622608935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28880414,0.00047638867,0.70689934,0.000027624837,0.0029998743,0.00044769247,0.0000051053034,0.00012965329,0.00021019111],"genre_scores_gemma":[0.84165204,0.0000379316,0.15813206,0.00001955268,0.00011330779,0.0000031860018,0.000002856325,0.000037418184,0.000001636226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829656,0.00008260907,0.0008771836,0.00015552553,0.00034203817,0.00024609483],"domain_scores_gemma":[0.9983337,0.00065435935,0.0003479934,0.00020199716,0.00035304786,0.00010890719],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000572747,0.0003039788,0.0006511396,0.0003580464,0.00010448259,0.00010083057,0.00024469732,0.00017146497,0.0000050406593],"category_scores_gemma":[0.00013346733,0.00027504048,0.00009639754,0.00036794922,0.00008669982,0.00007123564,0.00004486261,0.00037065145,2.299598e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020358227,0.004071605,0.00056375074,0.004824863,0.0007378365,0.00015852862,0.0012007852,0.6545236,0.112788774,0.11938515,0.0008663601,0.098842904],"study_design_scores_gemma":[0.003184391,0.0017679321,0.00006675669,0.0008706928,0.00014960431,0.000014384027,0.0000168688,0.92602706,0.011743769,0.05590646,0.00002343594,0.00022862504],"about_ca_topic_score_codex":0.000006173458,"about_ca_topic_score_gemma":5.2770478e-8,"teacher_disagreement_score":0.5528479,"about_ca_system_score_codex":0.000091656606,"about_ca_system_score_gemma":0.00013037033,"threshold_uncertainty_score":0.9999702},"labels":[],"label_agreement":null},{"id":"W4409605039","doi":"10.61091/jcmcc127b-280","title":"Research on Cultural Construction of Spring Festival Gala Mascot Using Intelligent Computing Model – Brand Innovation and Communication Path of Chinese Intangible Cultural Heritage","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intangible cultural heritage; Spring (device); Cultural heritage; Path (computing); Mascot; Advertising; Sociology; Aesthetics; Computer science; Engineering; Art; Geography; Business; Political science; Archaeology; Computer network","score_opus":0.054836248744700986,"score_gpt":0.38371804464942305,"score_spread":0.32888179590472205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99210966,0.00038267777,0.00260652,0.00025369847,0.0020439685,0.00027391,0.0000012131475,0.000011347073,0.002316989],"genre_scores_gemma":[0.9894051,0.00022906704,0.010000222,0.000008227367,0.0003378034,6.5181104e-7,8.512711e-7,0.0000094166035,0.000008637418],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99752223,0.00030604936,0.0010763385,0.00015350584,0.00069691794,0.0002449306],"domain_scores_gemma":[0.996103,0.00079970673,0.0010040976,0.00013981751,0.0018841891,0.00006917489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032238965,0.000178199,0.0006192576,0.00032655947,0.00071008067,0.00012372635,0.0002617649,0.00015191214,0.0000010152797],"category_scores_gemma":[0.0012099014,0.0001433943,0.000084921805,0.00093061844,0.00058056385,0.00026103228,0.00025415624,0.0005263568,8.4795154e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011829826,0.00024274447,0.0032159246,0.00030093946,0.00011328992,0.0000014972682,0.030500442,0.0002905299,0.002067304,0.961653,0.00007634974,0.0014196933],"study_design_scores_gemma":[0.005371762,0.00076547056,0.0011383166,0.0055393437,0.00019817581,0.000025044741,0.13442546,0.036303423,0.0037680832,0.81166196,0.0003280019,0.00047493263],"about_ca_topic_score_codex":0.00013034105,"about_ca_topic_score_gemma":0.000007182187,"teacher_disagreement_score":0.149991,"about_ca_system_score_codex":0.00014466449,"about_ca_system_score_gemma":0.00022930729,"threshold_uncertainty_score":0.58474493},"labels":[],"label_agreement":null},{"id":"W4409605046","doi":"10.61091/jcmcc127b-321","title":"Computational Analysis of Resource Allocation Optimization and Dynamic Planning for Continuing Education under Community Education Governance Framework","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Wetland Management and Conservation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Resource allocation; Corporate governance; Computer science; Continuing education; Business; Knowledge management; Political science; Management science; Medicine; Economics; Medical education; Computer network","score_opus":0.007173179166110876,"score_gpt":0.2583120602510544,"score_spread":0.25113888108494353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53605443,0.00051305606,0.46061605,0.00008971505,0.0022323986,0.00020785723,0.0000021192743,0.000021433083,0.00026293495],"genre_scores_gemma":[0.97636294,0.000043502114,0.02339472,0.000030807798,0.000110950554,0.0000051435095,0.00003083159,0.000013543461,0.000007578666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885345,0.000067565656,0.0006849637,0.000090029454,0.00019644,0.00010754348],"domain_scores_gemma":[0.9980075,0.0008171239,0.0005616865,0.00012218636,0.00045121537,0.00004030135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007826645,0.00014175352,0.0004099812,0.00032188496,0.00016245763,0.00010393774,0.00014286143,0.00010460952,9.1875484e-7],"category_scores_gemma":[0.00023442593,0.00015238154,0.00008218629,0.00053272437,0.000035374975,0.00016823321,0.000048432717,0.00022602576,2.6527033e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042267202,0.00025122034,0.00053784717,0.0004995388,0.00044714694,6.546268e-8,0.0013744236,0.34119183,0.00008307327,0.6458249,0.00017650124,0.009571175],"study_design_scores_gemma":[0.00084674294,0.00008509641,0.0028456203,0.00088862254,0.000664703,0.0000013888306,0.0018991933,0.6876038,0.0000461479,0.30485052,0.00013473666,0.0001334459],"about_ca_topic_score_codex":0.000008066648,"about_ca_topic_score_gemma":6.9597667e-7,"teacher_disagreement_score":0.44030848,"about_ca_system_score_codex":0.00008832207,"about_ca_system_score_gemma":0.00009162681,"threshold_uncertainty_score":0.6213939},"labels":[],"label_agreement":null},{"id":"W4409605047","doi":"10.61091/jcmcc127b-348","title":"Design of Student Behavior Prediction and Management Strategies Supported by Cluster Computing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster (spacecraft); Computer science; Psychology; Operating system","score_opus":0.01331237966614611,"score_gpt":0.28889284321337916,"score_spread":0.27558046354723303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605047","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44671312,0.00032115096,0.5469699,0.00025261415,0.0050989273,0.00035520832,0.0000013406562,0.00004777335,0.00023999343],"genre_scores_gemma":[0.9683509,0.00009573425,0.031329855,0.000020460982,0.00017576573,0.0000012322952,0.0000010641675,0.000012671544,0.000012356718],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975784,0.0001646292,0.0011753686,0.0002473498,0.0005742446,0.00026003006],"domain_scores_gemma":[0.9977937,0.00048173076,0.0009677683,0.0002465837,0.00040418873,0.00010605213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016824984,0.00024168439,0.0006270866,0.00028298446,0.00022127839,0.00040631503,0.0005611007,0.000119590804,6.583771e-7],"category_scores_gemma":[0.000059011334,0.00021994564,0.00009102582,0.0003915556,0.0000837491,0.00029484837,0.00050773786,0.00036558407,2.2782731e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052605443,0.0014294648,0.0021669571,0.0006357077,0.0003885157,0.000032862292,0.0020048707,0.0013939127,0.0011349858,0.9829722,0.00071160763,0.007076296],"study_design_scores_gemma":[0.013003318,0.002525947,0.004016431,0.002167422,0.0008395788,0.00013983245,0.0027696914,0.5101101,0.0013052492,0.46203768,0.0003963852,0.00068837195],"about_ca_topic_score_codex":0.0000031278414,"about_ca_topic_score_gemma":4.5057313e-8,"teacher_disagreement_score":0.52163774,"about_ca_system_score_codex":0.00005128823,"about_ca_system_score_gemma":0.0001148877,"threshold_uncertainty_score":0.8969123},"labels":[],"label_agreement":null},{"id":"W4409605048","doi":"10.61091/jcmcc127b-314","title":"Research on Financial Early Warning Indicator System Constructed by LSTM Recursive Algorithm in Enterprise Capital Chain Risk Control Empowered by Digital Transformation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Warning system; Computer science; Capital (architecture); Control (management); Algorithm; Finance; Early warning system; Business; Artificial intelligence","score_opus":0.00529136644817629,"score_gpt":0.22984094997642182,"score_spread":0.22454958352824553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804504,0.00026160758,0.009100643,0.00011419376,0.008046832,0.00059749995,0.000064104686,0.00005328712,0.0013114351],"genre_scores_gemma":[0.998741,0.000022190916,0.000079353165,0.000028461316,0.0010671155,0.000008804317,0.000022570823,0.000026863221,0.0000036834901],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99680823,0.00012078962,0.0013792084,0.00030150652,0.0009017041,0.0004885684],"domain_scores_gemma":[0.9973669,0.00052718,0.0012570001,0.00016675398,0.0006260479,0.00005612653],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002229819,0.0003275501,0.00077359506,0.00077676465,0.0005195591,0.0008202404,0.00039202778,0.00029446275,0.0000037495379],"category_scores_gemma":[0.0006694744,0.00030993737,0.00016374746,0.0007855523,0.00014247042,0.0008846978,0.0001171164,0.001105226,0.000006095337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014923373,0.001739912,0.004867208,0.0009352092,0.0002012418,0.000056393023,0.0020709066,0.00005480735,0.00020991634,0.9554537,0.005208693,0.027709695],"study_design_scores_gemma":[0.079583205,0.003772775,0.009429573,0.012443122,0.00071591436,0.00005660756,0.0188994,0.122586966,0.00081100815,0.7393623,0.009895946,0.0024431664],"about_ca_topic_score_codex":0.00014654221,"about_ca_topic_score_gemma":0.0000010441332,"teacher_disagreement_score":0.21609136,"about_ca_system_score_codex":0.0002674848,"about_ca_system_score_gemma":0.00013914763,"threshold_uncertainty_score":0.99993527},"labels":[],"label_agreement":null},{"id":"W4409605060","doi":"10.61091/jcmcc127b-267","title":"Construction of foreign translation and language communication system with Chinese characteristics based on multi-source information fusion","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Translation (biology); Computer science; Natural language processing; Linguistics; Information fusion; Artificial intelligence; Chemistry","score_opus":0.010402181293960863,"score_gpt":0.26090566212910177,"score_spread":0.2505034808351409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56077594,0.000110755165,0.4369547,0.000195984,0.0013603084,0.00018185537,0.0000014852977,0.000036069072,0.00038287317],"genre_scores_gemma":[0.9407741,0.00001351469,0.059122793,0.000019847199,0.000058423226,0.00000163917,0.0000037195161,0.0000049664977,0.0000010116903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874663,0.00009606863,0.0006831285,0.000098019416,0.0002717415,0.00010442201],"domain_scores_gemma":[0.99770874,0.000620054,0.0009555948,0.0002488025,0.0004221513,0.000044656128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083655166,0.00014562825,0.00036380303,0.00032534637,0.00019764277,0.00009816888,0.0003001736,0.0001323626,4.6217147e-7],"category_scores_gemma":[0.00017135829,0.000117473995,0.000044038574,0.0003301922,0.00009382238,0.00033334273,0.00007324858,0.0002683571,2.2151765e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010794516,0.00020264175,0.0022852812,0.00040400022,0.0000360578,9.998802e-7,0.0018004411,0.00009980065,0.00016555065,0.9762048,0.0000049128203,0.01868754],"study_design_scores_gemma":[0.01054651,0.0014376581,0.009004569,0.0028562562,0.00013311655,0.00016296498,0.0034593705,0.86795145,0.0012488245,0.102587886,0.00019590957,0.00041547275],"about_ca_topic_score_codex":0.000008008926,"about_ca_topic_score_gemma":2.938708e-7,"teacher_disagreement_score":0.87361693,"about_ca_system_score_codex":0.000045835273,"about_ca_system_score_gemma":0.00013256643,"threshold_uncertainty_score":0.47904503},"labels":[],"label_agreement":null},{"id":"W4409605062","doi":"10.61091/jcmcc127b-255","title":"Application of multimedia-based network teaching platform in college physical education teaching","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Shaanxi Province; Yulin Science and Technology Bureau","keywords":"Multimedia; Computer science; Physical education; Mathematics education; Psychology","score_opus":0.01087975535506053,"score_gpt":0.302713392327529,"score_spread":0.29183363697246845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7502728,0.0002445697,0.23524101,0.0008552834,0.010930695,0.00039617403,0.0000010042338,0.000048476493,0.0020099827],"genre_scores_gemma":[0.94122005,0.0000029766807,0.058064286,0.000049229406,0.0006424511,0.000005574108,0.00000127862,0.000008869336,0.0000053041376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99814993,0.0001385905,0.00092064665,0.00020807287,0.00034693253,0.00023580581],"domain_scores_gemma":[0.99688596,0.0015292515,0.00092338055,0.00030193053,0.00029004386,0.000069441805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021657862,0.00018653259,0.0005630314,0.00039124725,0.00023672736,0.0000591825,0.00073610846,0.00016830955,4.0816738e-7],"category_scores_gemma":[0.000629891,0.00018006403,0.00010895181,0.00043832575,0.00007129309,0.0002685001,0.00019451678,0.0008340033,5.2465475e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025868758,0.0012111203,0.0012910354,0.00012280967,0.000027618311,0.0000012086473,0.00095136825,0.00032162588,0.000260985,0.9780806,0.00017255479,0.017533233],"study_design_scores_gemma":[0.0016502242,0.00021444306,0.000747942,0.00047708483,0.000027319971,0.000011123753,0.0003224993,0.17350818,0.00046739748,0.8218267,0.00060335884,0.00014373916],"about_ca_topic_score_codex":0.000022948405,"about_ca_topic_score_gemma":8.343122e-7,"teacher_disagreement_score":0.19094723,"about_ca_system_score_codex":0.00011909482,"about_ca_system_score_gemma":0.00069720316,"threshold_uncertainty_score":0.7342798},"labels":[],"label_agreement":null},{"id":"W4409605067","doi":"10.61091/jcmcc127b-303","title":"Research on Innovative Application of English Business Writing Intelligent Assisting System Based on Image Recognition Algorithm and Language Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Image (mathematics); Artificial intelligence; Natural language processing; Speech recognition; Algorithm","score_opus":0.038981346382840745,"score_gpt":0.34864330920695386,"score_spread":0.3096619628241131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605067","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34945703,0.00010063502,0.6442387,0.00019078286,0.0044121123,0.0002647937,0.0000023002804,0.00006729205,0.0012663398],"genre_scores_gemma":[0.96270704,0.000007277893,0.036688775,0.00001958468,0.00055704033,0.0000058720875,0.0000024362205,0.000011032418,9.080658e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978046,0.0002190631,0.0009259525,0.00026881625,0.0005553564,0.00022625392],"domain_scores_gemma":[0.9926555,0.0020121462,0.0006796418,0.00026696647,0.004327343,0.000058399983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040038563,0.00017464891,0.00044623239,0.00074816635,0.00032792657,0.00016443241,0.00044870752,0.00017218746,3.3218132e-7],"category_scores_gemma":[0.0017302103,0.00016584292,0.000047517235,0.0013690684,0.00009669161,0.00017822829,0.00021473417,0.00068860716,6.0845986e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052540385,0.0004984235,0.000076165474,0.00054073514,0.00004574212,0.0000061938595,0.0015860932,0.00047764275,0.00030521618,0.94739294,0.00002342036,0.048994858],"study_design_scores_gemma":[0.0016490928,0.0004963725,0.000121388875,0.0025518546,0.0000259655,0.000011369175,0.004630706,0.83376694,0.0037085006,0.15281999,0.000022487373,0.00019536093],"about_ca_topic_score_codex":0.000015007721,"about_ca_topic_score_gemma":1.0839111e-7,"teacher_disagreement_score":0.83328927,"about_ca_system_score_codex":0.00013824807,"about_ca_system_score_gemma":0.00026078997,"threshold_uncertainty_score":0.67628783},"labels":[],"label_agreement":null},{"id":"W4409605070","doi":"10.61091/jcmcc127b-338","title":"Deep Learning-Driven Curriculum Innovation and Structural Optimization of Art and Design Education in Artificial Intelligence Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Curriculum; Artificial intelligence; Computer science; Mathematics education; Knowledge management; Engineering; Psychology; Pedagogy","score_opus":0.014806902284566199,"score_gpt":0.27388632825309916,"score_spread":0.25907942596853295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605070","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41327867,0.00016433558,0.5837197,0.00009526803,0.0024701012,0.00017547162,8.067842e-8,0.0000083791465,0.000088042674],"genre_scores_gemma":[0.9473617,0.000060872502,0.052459944,0.000007708521,0.00009924284,0.0000013789925,7.4850277e-7,0.000005707813,0.0000027162725],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984879,0.00008912099,0.000848575,0.0001687527,0.00026768012,0.00013796127],"domain_scores_gemma":[0.99869156,0.00029716844,0.0006191261,0.00009725753,0.00023940601,0.000055487544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007295457,0.00014374597,0.00034689694,0.0002952308,0.00009495812,0.00018327525,0.00020043942,0.00007854925,9.4916953e-7],"category_scores_gemma":[0.0002780992,0.00013334243,0.000026540027,0.00044341103,0.00007334577,0.0003854406,0.00020902793,0.00022547005,2.4819573e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021017326,0.0002585595,0.00075440446,0.00012218057,0.000020850863,0.0000018287698,0.000727313,0.008191747,0.00014213311,0.9500509,0.00000569786,0.039703358],"study_design_scores_gemma":[0.0003803043,0.00039025838,0.00024031964,0.00031298306,0.000015559965,0.000013745879,0.00029159567,0.5191215,0.0005254876,0.47859251,0.000015501957,0.00010019873],"about_ca_topic_score_codex":0.0000026080706,"about_ca_topic_score_gemma":8.97027e-8,"teacher_disagreement_score":0.534083,"about_ca_system_score_codex":0.000046224875,"about_ca_system_score_gemma":0.00012635333,"threshold_uncertainty_score":0.54375464},"labels":[],"label_agreement":null},{"id":"W4409605076","doi":"10.61091/jcmcc127b-281","title":"Selection of Typical Meteorological Cycles Based on Comparison of Cumulative Distribution Functions of Different Meteorological Indicators and Assignment of Normalized Modeling Research","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Economic and Technological Systems Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Environmental science; Distribution (mathematics); Cumulative distribution function; Meteorology; Statistics; Computer science; Mathematics; Geography; Probability density function; Machine learning","score_opus":0.039330027209727204,"score_gpt":0.3035696750449884,"score_spread":0.26423964783526116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9763477,0.0000637085,0.022344982,0.00007728591,0.00063515507,0.00021950879,0.000003255366,0.000010693549,0.0002977274],"genre_scores_gemma":[0.99948674,0.000007072942,0.0003589489,0.000003673715,0.00012985231,0.0000024963392,0.0000038883795,0.0000064867754,8.233664e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973342,0.00013313878,0.001642793,0.00018263348,0.00052091986,0.00018634074],"domain_scores_gemma":[0.99636704,0.0010276699,0.0017822627,0.00013173418,0.0006636878,0.000027631046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022371637,0.00017632931,0.0011925017,0.0005539171,0.00015575698,0.00003731053,0.00022031942,0.00023593854,0.000010551987],"category_scores_gemma":[0.0009992347,0.00012822024,0.00020261848,0.0006941621,0.00023239134,0.00010471626,0.00022157417,0.00041458916,1.4266546e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007779565,0.001850087,0.043694083,0.0005524001,0.0002700227,5.7759667e-7,0.000058478552,0.0026842705,0.0015865223,0.946999,0.000025161273,0.0015014511],"study_design_scores_gemma":[0.0038510393,0.001330025,0.007753579,0.00063841656,0.00043657765,9.892977e-7,0.0007481288,0.65708816,0.0035492517,0.3244024,0.00003346867,0.00016795954],"about_ca_topic_score_codex":0.000039161234,"about_ca_topic_score_gemma":9.589654e-7,"teacher_disagreement_score":0.6544039,"about_ca_system_score_codex":0.00006310716,"about_ca_system_score_gemma":0.000037023703,"threshold_uncertainty_score":0.52286696},"labels":[],"label_agreement":null},{"id":"W4409605077","doi":"10.61091/jcmcc127b-269","title":"A web-based multimedia English teaching model based on learning motivation theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multimedia; Computer science; Mathematics education; Psychology","score_opus":0.01684500582629918,"score_gpt":0.3122451934574725,"score_spread":0.2954001876311733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6059339,0.00007271886,0.274812,0.0021718112,0.03326047,0.0011121986,0.0000034242687,0.00041406936,0.08221941],"genre_scores_gemma":[0.9756532,0.0000035027638,0.022620073,0.00015573694,0.0014750548,0.000005100344,0.0000020493874,0.00002387905,0.00006144595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970549,0.0007059296,0.0008492475,0.00020565785,0.0008710458,0.00031326915],"domain_scores_gemma":[0.9926816,0.0046175322,0.00094307563,0.00015899532,0.0014885485,0.000110229485],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007890663,0.00023294073,0.0004800885,0.00052964484,0.0010116622,0.00025533693,0.00040555885,0.00021254018,0.000008265413],"category_scores_gemma":[0.014604441,0.00020501159,0.0001444806,0.0004958728,0.00018320786,0.00021242276,0.00006773271,0.0011604263,6.456499e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009940256,0.0005805309,0.0005175049,0.000066335,0.000032849723,0.0000017688224,0.0045009106,0.0017678547,0.00015899993,0.9890455,0.0004887138,0.002739641],"study_design_scores_gemma":[0.0027141152,0.00029085064,0.0000849177,0.0007870718,0.00004951908,3.5687353e-7,0.0016379342,0.24842027,0.00045239474,0.7432802,0.0020597286,0.00022266986],"about_ca_topic_score_codex":0.000010154445,"about_ca_topic_score_gemma":3.332623e-7,"teacher_disagreement_score":0.36971927,"about_ca_system_score_codex":0.00034514596,"about_ca_system_score_gemma":0.0013199406,"threshold_uncertainty_score":0.993696},"labels":[],"label_agreement":null},{"id":"W4409605078","doi":"10.61091/jcmcc127b-325","title":"Detection of Mental Training Anxiety in Basketball Players in Same-Court Rivalry Centers Based on LightGBM Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"AI and Big Data Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Basketball; Rivalry; Anxiety; Training (meteorology); Psychology; Computer science; Artificial intelligence; Applied psychology; Algorithm; Speech recognition; Machine learning; Psychiatry; Economics; History; Geography","score_opus":0.013936685177546657,"score_gpt":0.2558032299488874,"score_spread":0.24186654477134073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66557145,0.0001158483,0.32027927,0.00066980923,0.011906237,0.00059326197,0.000008186011,0.000042776494,0.000813121],"genre_scores_gemma":[0.9807004,0.000025126417,0.019044563,0.00005797828,0.00015435819,0.0000033740203,0.000001651337,0.000010769892,0.0000017765823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976526,0.00012036326,0.0011322707,0.00027011655,0.0005298124,0.00029482137],"domain_scores_gemma":[0.9981898,0.0005325308,0.00070685195,0.00030469667,0.00017071185,0.00009537314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015961692,0.00022725364,0.00060449564,0.00060661254,0.0001232517,0.00011926439,0.0007097219,0.00014500704,9.9103e-7],"category_scores_gemma":[0.00016630338,0.00021628318,0.00013174427,0.00086617225,0.000057220383,0.0002729897,0.00020774349,0.00049173884,4.56385e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031817277,0.0038312916,0.0024511095,0.00039277808,0.00013779588,0.000043839485,0.006983769,0.00096474076,0.006973135,0.8125579,0.000264957,0.16508055],"study_design_scores_gemma":[0.011443352,0.00094464124,0.0020583642,0.0017804955,0.000043525717,0.000027628992,0.0008790223,0.76609,0.0076593393,0.2078944,0.0007367004,0.00044254315],"about_ca_topic_score_codex":0.000029394376,"about_ca_topic_score_gemma":0.0000031616569,"teacher_disagreement_score":0.7651252,"about_ca_system_score_codex":0.0002060015,"about_ca_system_score_gemma":0.00021292159,"threshold_uncertainty_score":0.8819772},"labels":[],"label_agreement":null},{"id":"W4409605081","doi":"10.61091/jcmcc127b-350","title":"Dynamic effects of soil mineral ion-microorganism interactions on phosphorus-sulfur cycling revealed by spatio-temporal data mining techniques","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cycling; Sulfur; Mineral; Phosphorus; Environmental science; Environmental chemistry; Microorganism; Chemistry; Soil science; Geology; Geography; Bacteria; Forestry","score_opus":0.006752522592332377,"score_gpt":0.2483053513390905,"score_spread":0.24155282874675812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98786396,0.00010025501,0.002561051,0.00015422591,0.008429139,0.00026914565,0.000008262771,0.00003558064,0.00057836506],"genre_scores_gemma":[0.9927347,0.00004911478,0.0069030896,0.00003841059,0.00019196764,0.0000018696542,0.000018230508,0.000028250995,0.00003436703],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99766195,0.00010791406,0.0011314583,0.00031140787,0.0005032864,0.00028398592],"domain_scores_gemma":[0.9974455,0.0008194565,0.001093971,0.00042683195,0.00010165675,0.00011257005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00096069486,0.00029150426,0.0006770377,0.0001586676,0.00023822233,0.000110685425,0.00070929824,0.00014003996,0.000004434361],"category_scores_gemma":[0.00044928349,0.00026396048,0.00011793303,0.0003727778,0.00013179866,0.00028116355,0.0006841665,0.00043952654,0.0000018432775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041149585,0.02564761,0.43299532,0.0061968714,0.0029769572,0.00045179558,0.01719414,0.0010842833,0.10343923,0.19034939,0.08132937,0.13422008],"study_design_scores_gemma":[0.015829392,0.0036389665,0.003524102,0.007765175,0.00090090913,0.00015958387,0.0011346029,0.13932434,0.052953072,0.7677826,0.0052246493,0.0017625889],"about_ca_topic_score_codex":0.00005896468,"about_ca_topic_score_gemma":0.0000020378877,"teacher_disagreement_score":0.5774332,"about_ca_system_score_codex":0.00019764333,"about_ca_system_score_gemma":0.000054768603,"threshold_uncertainty_score":0.9999813},"labels":[],"label_agreement":null},{"id":"W4409605084","doi":"10.61091/jcmcc127b-313","title":"Research on optimization of vocal music teaching mode and design of personalized learning path based on AI algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Computer science; Mode (computer interface); Personalized learning; Speech recognition; Artificial intelligence; Algorithm; Multimedia; Mathematics education; Teaching method; Human–computer interaction; Psychology; Programming language; Cooperative learning","score_opus":0.04297688233220473,"score_gpt":0.3560107329965037,"score_spread":0.313033850664299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605084","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07521262,0.0001409418,0.9205551,0.0004919042,0.002987939,0.00022157813,7.768039e-7,0.000024280942,0.00036483226],"genre_scores_gemma":[0.883355,0.000022635351,0.11639534,0.000037731694,0.00016752862,0.0000019289646,6.563351e-7,0.000010672628,0.00000850052],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974397,0.0006161842,0.00077796896,0.00023078163,0.0007063147,0.00022907095],"domain_scores_gemma":[0.99496984,0.0032825887,0.0006732631,0.00023312365,0.0007660482,0.00007510928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042739194,0.00017713498,0.00055544963,0.0006733367,0.00035108317,0.00009119066,0.00051763444,0.00019671771,0.0000022347606],"category_scores_gemma":[0.0010245168,0.00016099562,0.00008399522,0.00048044548,0.00018540364,0.00014589679,0.00019174823,0.0010834072,1.9995679e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013647937,0.00067571923,0.000064917964,0.00013959393,0.000049660946,0.0000040678283,0.0010833738,0.038270786,0.00016006741,0.9539591,0.00010273388,0.0053535188],"study_design_scores_gemma":[0.0021058093,0.0016742451,0.000034476154,0.00071056926,0.000022843107,0.000008898598,0.00036236868,0.7234054,0.0006086246,0.27092415,0.000040885152,0.00010169803],"about_ca_topic_score_codex":0.000010232551,"about_ca_topic_score_gemma":3.713637e-8,"teacher_disagreement_score":0.80814236,"about_ca_system_score_codex":0.000067456225,"about_ca_system_score_gemma":0.00041495246,"threshold_uncertainty_score":0.6565211},"labels":[],"label_agreement":null},{"id":"W4409605090","doi":"10.61091/jcmcc127b-279","title":"A Study on Enhancing the Efficiency of Digital Content Generation and Distribution Using Natural Language Processing Techniques","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Natural (archaeology); Content (measure theory); Process engineering; Content distribution; Natural language processing; Mathematics; Engineering; Biology","score_opus":0.018501415939608114,"score_gpt":0.28415308773201575,"score_spread":0.2656516717924076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82331544,0.00038687736,0.17462075,0.00009852143,0.0013415897,0.00018667024,0.0000013114856,0.000027142481,0.000021678356],"genre_scores_gemma":[0.99795455,0.000004226554,0.0018747518,0.000009694777,0.00014891017,0.0000010107518,0.0000010281747,0.0000046590417,0.0000011793127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985339,0.00007515136,0.00072864396,0.00017591777,0.00033865057,0.00014772931],"domain_scores_gemma":[0.9983861,0.00029350253,0.0007225773,0.0002336741,0.00033201705,0.000032132837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011808189,0.00015187786,0.00040358974,0.00017407721,0.00032782825,0.00032569072,0.0004446699,0.00007613489,9.594514e-8],"category_scores_gemma":[0.00047832675,0.00010472618,0.00007055119,0.00047672796,0.00008808792,0.00033141326,0.0003270388,0.00031105662,5.6861357e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007533646,0.0018849546,0.0013746634,0.00019690396,0.00026487702,0.000034786073,0.0070739947,0.000021738042,0.02248068,0.9023216,0.000038862574,0.06423165],"study_design_scores_gemma":[0.009717566,0.0049892063,0.0015003667,0.0025928926,0.00094530213,0.00034524145,0.019603344,0.5411497,0.16875066,0.24921718,0.00007284735,0.0011157417],"about_ca_topic_score_codex":0.0000057743455,"about_ca_topic_score_gemma":4.3828112e-7,"teacher_disagreement_score":0.65310436,"about_ca_system_score_codex":0.00005354464,"about_ca_system_score_gemma":0.00009022603,"threshold_uncertainty_score":0.427061},"labels":[],"label_agreement":null},{"id":"W4409605096","doi":"10.61091/jcmcc127b-337","title":"A study on modeling the association between students’ psychological changes and athletic performance in physical education based on numerical computational methods","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Association (psychology); Physical education; Psychology; Mathematics education; Computer science; Applied psychology; Psychotherapist","score_opus":0.03366751833604294,"score_gpt":0.384891513164307,"score_spread":0.35122399482826405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9163001,0.000027427972,0.0769169,0.0009436848,0.005172439,0.00041787777,2.40752e-7,0.000017820905,0.00020349132],"genre_scores_gemma":[0.98833686,0.0000048804523,0.010928608,0.00012529903,0.00058106554,0.000012159578,6.505082e-7,0.000008244316,0.0000022429244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99775255,0.00045982047,0.00058217836,0.0002662422,0.00073140825,0.0002078108],"domain_scores_gemma":[0.99620724,0.0026895748,0.0005193861,0.00021120106,0.00029575892,0.00007685637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002935378,0.00019860794,0.00046816107,0.0002730494,0.00024848944,0.00026733527,0.0005569207,0.00009767354,2.5826725e-7],"category_scores_gemma":[0.0006338352,0.00014541805,0.000060051454,0.00048807895,0.000027948929,0.0001223077,0.00016707016,0.0005631737,7.010025e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002815325,0.02362655,0.10397743,0.00024177725,0.0003377043,0.000008241268,0.026868477,0.03440261,0.00003715727,0.6624027,0.0001387253,0.14767714],"study_design_scores_gemma":[0.0031904012,0.002024313,0.038646854,0.00036507266,0.000076118886,0.0000037304424,0.0007178014,0.7719586,0.000024851674,0.1827698,0.000030687275,0.00019178331],"about_ca_topic_score_codex":0.0000031471943,"about_ca_topic_score_gemma":9.535929e-8,"teacher_disagreement_score":0.737556,"about_ca_system_score_codex":0.0002049721,"about_ca_system_score_gemma":0.00015063958,"threshold_uncertainty_score":0.59299755},"labels":[],"label_agreement":null},{"id":"W4409605098","doi":"10.61091/jcmcc127b-341","title":"Research on the optimization method of computational model in the design and application of subsurface fluid stratified sampling device","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stratified sampling; Sampling (signal processing); Sampling design; Computer science; Computational fluid dynamics; Engineering; Mathematics; Statistics; Aerospace engineering; Telecommunications; Medicine","score_opus":0.07821820600527017,"score_gpt":0.341468164727166,"score_spread":0.2632499587218958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605098","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31000504,0.00014090641,0.6889317,0.00034367462,0.00021994866,0.00018438166,0.0000013467651,0.0000023623018,0.00017066346],"genre_scores_gemma":[0.90550065,0.000024010447,0.09441066,0.000019856278,0.000039921957,5.3350294e-7,0.0000017851339,0.0000019685192,6.208855e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793166,0.00056055863,0.00071011536,0.00012668513,0.00053554965,0.00013542424],"domain_scores_gemma":[0.9933182,0.0056082606,0.00043892508,0.00012386423,0.00047962958,0.000031103744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007646098,0.00010115119,0.00034210362,0.00017832866,0.00021789869,0.000069046466,0.00030614104,0.00007887322,0.0000025988993],"category_scores_gemma":[0.00046074757,0.00005961491,0.000054550143,0.00058376713,0.00008993582,0.00005558593,0.000029362198,0.00033180404,1.6068444e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005446477,0.00008057498,0.0002462161,0.000048275695,0.000021657295,2.6064643e-7,0.00040070826,0.8004769,0.00003096352,0.19737285,0.0000073718716,0.0012597337],"study_design_scores_gemma":[0.00036264988,0.0001407073,0.00027770904,0.00008894176,0.000023500574,0.000001943633,0.00050287263,0.6417614,0.00005628449,0.356749,0.0000017458265,0.000033262128],"about_ca_topic_score_codex":0.00007070066,"about_ca_topic_score_gemma":0.0000025173606,"teacher_disagreement_score":0.5954956,"about_ca_system_score_codex":0.000006639437,"about_ca_system_score_gemma":0.00009428434,"threshold_uncertainty_score":0.26500002},"labels":[],"label_agreement":null},{"id":"W4409605103","doi":"10.61091/jcmcc127b-335","title":"Research on the Design of Curriculum System for Business Administration Students Based on Discrete Optimization Algorithm under Digital Talent Cultivation Mode","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mode (computer interface); Curriculum; Computer science; Administration (probate law); Engineering management; Algorithm; Knowledge management; Industrial engineering; Engineering; Mathematics education; Mathematics; Sociology; Human–computer interaction; Pedagogy; Political science","score_opus":0.04466551447462476,"score_gpt":0.3698565033328438,"score_spread":0.32519098885821907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605103","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037910763,0.000020773876,0.95541435,0.0010938798,0.004822411,0.00057737017,0.0000030960512,0.000024704743,0.00013264194],"genre_scores_gemma":[0.9727832,0.0000044063427,0.026914133,0.000019990122,0.0002445663,0.000014705064,0.0000036755725,0.000009711242,0.00000562025],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99781823,0.00021629887,0.0007345855,0.00020709656,0.0008257968,0.00019797443],"domain_scores_gemma":[0.99475217,0.0026458232,0.0006821297,0.0002884477,0.0015834583,0.000048002345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002442691,0.00016599931,0.00033587278,0.00035189686,0.0004030885,0.00032703238,0.000799538,0.00014669079,4.8336557e-7],"category_scores_gemma":[0.00062412774,0.00012080278,0.00007903071,0.00073611934,0.00009005008,0.00022166975,0.00013580428,0.0003286999,3.8213514e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000773787,0.00079499016,0.000043413263,0.0001232467,0.000047540332,0.0000010788998,0.00013237807,0.043215975,0.000025653886,0.9546585,0.00010763115,0.00077222835],"study_design_scores_gemma":[0.001738768,0.0009662744,0.00008533472,0.00086184975,0.000024783318,0.0000058502696,0.00067127077,0.7127848,0.0009475222,0.28178686,0.000016969845,0.00010969716],"about_ca_topic_score_codex":0.0000024197423,"about_ca_topic_score_gemma":3.5577802e-8,"teacher_disagreement_score":0.93487245,"about_ca_system_score_codex":0.00015322574,"about_ca_system_score_gemma":0.00042075932,"threshold_uncertainty_score":0.49261945},"labels":[],"label_agreement":null},{"id":"W4409605104","doi":"10.61091/jcmcc127b-290","title":"A Study on Identification and Quantification Strategies of Realistic Dilemmas of Art Education Development in Colleges and Universities Based on Decision Tree Analysis Methods","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Decision tree; Tree (set theory); Computer science; Management science; Mathematics education; Data science; Psychology; Engineering; Artificial intelligence; Mathematics","score_opus":0.03905235048165961,"score_gpt":0.4038610627495389,"score_spread":0.3648087122678793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785083,0.000039165963,0.018349491,0.00015094246,0.0013218697,0.00035381273,0.0000011831246,0.0000069679722,0.0012682794],"genre_scores_gemma":[0.9879152,0.000012634137,0.011994459,0.000003964651,0.00005236501,0.000003548911,0.0000019584393,0.000004743326,0.000011116217],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979867,0.00041799183,0.0009026556,0.00015313001,0.0004475275,0.00009203024],"domain_scores_gemma":[0.9958038,0.002137895,0.0010107212,0.00012409706,0.00088760495,0.000035890884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004374447,0.000117280615,0.00046065627,0.0010570026,0.00020614573,0.00009136762,0.00015474626,0.00007915202,0.000001201405],"category_scores_gemma":[0.00084971386,0.00011346532,0.000041498013,0.0011286358,0.000148608,0.0001353298,0.000040416875,0.0001417525,4.2193566e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012250454,0.0011630616,0.0025564455,0.00008863394,0.00009319528,4.5019368e-7,0.008419648,0.00005972756,0.00031366636,0.98412716,0.000026504413,0.003028988],"study_design_scores_gemma":[0.002900196,0.0009907079,0.12034276,0.0013727072,0.00041968294,7.895929e-7,0.115198895,0.002356757,0.003954162,0.7520444,0.00017132226,0.00024763294],"about_ca_topic_score_codex":0.00007070843,"about_ca_topic_score_gemma":0.000017618022,"teacher_disagreement_score":0.23208278,"about_ca_system_score_codex":0.00017838048,"about_ca_system_score_gemma":0.0009904995,"threshold_uncertainty_score":0.46269816},"labels":[],"label_agreement":null},{"id":"W4409605110","doi":"10.61091/jcmcc127b-282","title":"Dynamic modeling and quantitative computational assessment of grid power supply capacity at multi-temporal and spatial scales","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Temporal scales; Grid; Computer science; Power grid; Environmental science; Power (physics); Geography; Physics","score_opus":0.014629369457949392,"score_gpt":0.267342607875339,"score_spread":0.2527132384173896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84918004,0.00058062276,0.14500682,0.000023701788,0.004877927,0.0001186151,0.00000942922,0.00002516857,0.00017768845],"genre_scores_gemma":[0.9538036,0.00005253949,0.046017293,0.000004775036,0.00009248005,9.612447e-7,0.0000037247908,0.00002290587,0.0000017335159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826777,0.00006496698,0.00095013675,0.00016270459,0.00033790254,0.00021651601],"domain_scores_gemma":[0.99846995,0.0006240516,0.00038861725,0.00009329777,0.0003105945,0.00011349064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007589163,0.00025623734,0.00067843223,0.00021520675,0.00020426598,0.00009281475,0.00013046371,0.00012873783,0.0000019586976],"category_scores_gemma":[0.00013377276,0.0002445616,0.00008821648,0.00015141717,0.000120779645,0.00014597176,0.00017580732,0.00034941087,9.01538e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017262835,0.000655476,0.013222299,0.0019721773,0.00079396385,0.00002496553,0.0046323133,0.13013856,0.0031371424,0.8433145,0.00006201413,0.0018739062],"study_design_scores_gemma":[0.002843872,0.0002637072,0.001678785,0.0006439027,0.000065380555,0.00003761703,0.00027070375,0.90410477,0.00012726558,0.08974243,0.000019073417,0.0002024787],"about_ca_topic_score_codex":0.00002977885,"about_ca_topic_score_gemma":0.000008742008,"teacher_disagreement_score":0.77396625,"about_ca_system_score_codex":0.00009540083,"about_ca_system_score_gemma":0.000061010036,"threshold_uncertainty_score":0.9972933},"labels":[],"label_agreement":null},{"id":"W4409605111","doi":"10.61091/jcmcc127b-306","title":"Analysis and Enhancement Strategies of Emotional Expression Based on Pattern Recognition in Vocal Performance","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Speech recognition; Emotional expression; Expression (computer science); Computer science; Psychology; Pattern recognition (psychology); Communication; Artificial intelligence; Cognitive psychology","score_opus":0.015774674967773926,"score_gpt":0.2879448108520992,"score_spread":0.2721701358843253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983104,0.000106181156,0.009758633,0.00023388446,0.0027179245,0.00014865145,0.0000010772321,0.00000597258,0.0039236937],"genre_scores_gemma":[0.9987453,0.000099759076,0.00087256316,0.000015218084,0.0002568924,0.0000015043365,0.0000011497739,0.0000035781527,0.0000040111154],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99854845,0.00013068593,0.000599402,0.0001146734,0.0004539484,0.00015282357],"domain_scores_gemma":[0.9986231,0.00048721887,0.0004833693,0.0000648945,0.00028461218,0.00005683821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012751302,0.00011602715,0.0004678708,0.00030707795,0.00021325411,0.00006550931,0.000109976565,0.00009163133,0.0000065585623],"category_scores_gemma":[0.00026056185,0.00009773973,0.00008357263,0.0004408925,0.00012068852,0.00012996906,0.000046801946,0.00020157134,1.8251075e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010274522,0.0063609,0.08479276,0.0027111478,0.0014906347,0.000040781633,0.09649357,0.00074817205,0.0023664846,0.5936374,0.00050124794,0.20982946],"study_design_scores_gemma":[0.026304478,0.0049609197,0.062275145,0.014446035,0.0020350998,0.000006925951,0.104267105,0.037223276,0.014322324,0.73159647,0.0012079957,0.0013542499],"about_ca_topic_score_codex":0.000028673687,"about_ca_topic_score_gemma":0.000009818753,"teacher_disagreement_score":0.20847522,"about_ca_system_score_codex":0.000059113387,"about_ca_system_score_gemma":0.00017799676,"threshold_uncertainty_score":0.39857104},"labels":[],"label_agreement":null},{"id":"W4409605113","doi":"10.61091/jcmcc127b-276","title":"Design of talent training model performance evaluation model based on random forest algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nanjing Tech University; Nanjing University; Government of Jiangsu Province","keywords":"Random forest; Training (meteorology); Computer science; Algorithm; Machine learning; Artificial intelligence; Geography","score_opus":0.036526963527679604,"score_gpt":0.305368536431666,"score_spread":0.2688415729039864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605113","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09319916,0.00007071703,0.901985,0.000289601,0.0036956682,0.00033597214,6.0388874e-7,0.00002355104,0.00039975243],"genre_scores_gemma":[0.7667058,0.000011550634,0.23313808,0.00003160485,0.00009347602,0.0000067219594,5.859648e-7,0.000007477712,0.0000046890295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976457,0.00012861344,0.0009483634,0.0002173224,0.00082925806,0.00023078418],"domain_scores_gemma":[0.99706584,0.000844839,0.00090059853,0.0003103806,0.00080605195,0.000072267365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036455584,0.00021505219,0.0005585425,0.00037533755,0.00022975281,0.00009274691,0.0006888414,0.00014764021,9.606708e-7],"category_scores_gemma":[0.00030969986,0.00019186767,0.00011451471,0.00037765322,0.000073377094,0.00024804307,0.00014332178,0.00038151728,3.4031487e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058124144,0.00052020093,0.00002851424,0.000066497094,0.00004813487,9.820887e-7,0.0005285911,0.42395747,0.000121584984,0.5569417,0.000060530525,0.017667707],"study_design_scores_gemma":[0.0031723876,0.00029739662,0.000018745457,0.00033311735,0.000043557462,0.000003745246,0.000049507937,0.5938708,0.0005564205,0.4015596,0.000002409139,0.00009230673],"about_ca_topic_score_codex":4.932953e-7,"about_ca_topic_score_gemma":2.1347413e-8,"teacher_disagreement_score":0.6735066,"about_ca_system_score_codex":0.00012711236,"about_ca_system_score_gemma":0.00095056853,"threshold_uncertainty_score":0.78241366},"labels":[],"label_agreement":null},{"id":"W4409605116","doi":"10.61091/jcmcc127b-342","title":"Research on Cultural Identity of Marxist Chineseization Based on Extended Kalman Filter Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"China's Ethnic Minorities and Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Kalman filter; Marxist philosophy; Identity (music); Algorithm; Fast Kalman filter; Computer science; Sociology; Extended Kalman filter; Mathematics; Artificial intelligence; Aesthetics; Political science; Philosophy; Politics; Law","score_opus":0.036762630996063424,"score_gpt":0.377763026125527,"score_spread":0.34100039512946356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8795243,0.00042644102,0.016355779,0.0023432346,0.03828482,0.001005982,0.000012689011,0.000063375504,0.0619834],"genre_scores_gemma":[0.99692756,0.0000629672,0.0016262055,0.00003199664,0.001224584,0.0000017934843,0.0000022780555,0.000012695945,0.00010991116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968345,0.00047651923,0.0008665634,0.00018454842,0.0013306204,0.00030722402],"domain_scores_gemma":[0.99609685,0.0017371441,0.00060874515,0.00021143738,0.001217726,0.00012807813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004258199,0.00017546244,0.0004993522,0.00044325224,0.0009804264,0.00023755195,0.00044408045,0.00020932757,0.000023425515],"category_scores_gemma":[0.0012379586,0.0001450587,0.00018881483,0.00087673584,0.00031186378,0.00023938334,0.00012144976,0.00070595107,0.0000016775708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007508485,0.00070048054,0.00012469773,0.00010859268,0.000047353653,0.000005556759,0.0023204563,0.00014976187,0.000035362315,0.9930887,0.00095517276,0.0023887805],"study_design_scores_gemma":[0.0038426432,0.0009059751,0.0014257758,0.001249002,0.00007766854,0.000002999348,0.0045613255,0.016832944,0.00021300433,0.96868724,0.0019713112,0.00023014264],"about_ca_topic_score_codex":0.0001425258,"about_ca_topic_score_gemma":0.000006666378,"teacher_disagreement_score":0.11740329,"about_ca_system_score_codex":0.00020265185,"about_ca_system_score_gemma":0.0003502937,"threshold_uncertainty_score":0.7540747},"labels":[],"label_agreement":null},{"id":"W4409605121","doi":"10.61091/jcmcc127b-315","title":"A Study on the Construction of a Predictive Model for Physical Education Teachers’ Professional Development Trajectories Supported by ARIMA Algorithm Driven by Physical Education Reforms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Physical education; Mathematics education; Professional development; Psychology; Computer science; Algorithm; Machine learning; Pedagogy; Time series","score_opus":0.03163966086289744,"score_gpt":0.3437599671402207,"score_spread":0.3121203062773233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98687196,0.00006243436,0.0035186065,0.0005084668,0.007513488,0.0012520627,0.000008568239,0.000014098883,0.00025030313],"genre_scores_gemma":[0.9951561,0.0000065410527,0.003947867,0.000045558536,0.00066112156,0.00007121317,0.000015792744,0.000015558095,0.0000802238],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982744,0.000082444036,0.00073371973,0.0001992077,0.00053227093,0.0001779855],"domain_scores_gemma":[0.99740446,0.00052659865,0.000788204,0.0001610611,0.0010254221,0.00009424518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067986216,0.00021410112,0.00063128764,0.00013001224,0.00033170165,0.00003947174,0.00014871093,0.00008936446,5.868136e-7],"category_scores_gemma":[0.00034961788,0.0001449189,0.00012324314,0.00023927754,0.00012918707,0.0000998123,0.000071670394,0.00038269683,1.8767977e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016584264,0.063441984,0.0066486825,0.0012352794,0.00216299,9.75856e-7,0.25069728,0.000021465929,0.0011310737,0.5768462,0.023130916,0.073024765],"study_design_scores_gemma":[0.013732666,0.008877422,0.003531985,0.0032437847,0.0018358123,0.000043409746,0.3074412,0.048049327,0.009695186,0.60130244,0.0015182706,0.0007284872],"about_ca_topic_score_codex":0.0000067183305,"about_ca_topic_score_gemma":8.4856204e-8,"teacher_disagreement_score":0.07229628,"about_ca_system_score_codex":0.00025291275,"about_ca_system_score_gemma":0.0020992907,"threshold_uncertainty_score":0.5909621},"labels":[],"label_agreement":null},{"id":"W4409605134","doi":"10.61091/jcmcc127b-294","title":"Construction of a precise supervision mechanism for medical insurance dual-channel drugs based on collaborative filtering algorithm in the era of intelligent medical insurance","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dual (grammatical number); Mechanism (biology); Medical insurance; Channel (broadcasting); Computer science; Collaborative filtering; Business; Algorithm; Actuarial science; Data mining; Information retrieval; Telecommunications; Recommender system; Physics","score_opus":0.014655078805437522,"score_gpt":0.31332049479658114,"score_spread":0.2986654159911436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94511425,0.0002987445,0.03877422,0.0038810282,0.010313069,0.0013505297,0.000025623434,0.000012177945,0.00023037297],"genre_scores_gemma":[0.9939851,0.00016075803,0.0050633643,0.00019355232,0.0005640662,0.000012430371,0.0000029576402,0.000016858436,8.7943914e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995289,0.00041409853,0.0021880295,0.00020662452,0.0016190555,0.00028317643],"domain_scores_gemma":[0.9941987,0.0026996506,0.0010663319,0.00024336937,0.0015525107,0.0002394436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068075587,0.00022775462,0.0011938058,0.00029817727,0.00013228228,0.00003349689,0.00026102562,0.00033943908,0.000005692931],"category_scores_gemma":[0.003833025,0.00016230931,0.00017078246,0.0006947651,0.00013091978,0.00007573208,0.000070326074,0.0008504357,1.14857556e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012006637,0.0023206032,0.0006390087,0.005045898,0.00015121052,0.000052280353,0.007745569,0.00002455326,0.000120332596,0.9151453,0.00013811023,0.06741652],"study_design_scores_gemma":[0.04147596,0.011006261,0.0017339713,0.044374883,0.00015791101,0.00040928202,0.009868765,0.20141385,0.0065879393,0.6817553,0.00063473725,0.0005811499],"about_ca_topic_score_codex":0.00008037926,"about_ca_topic_score_gemma":0.0000025641655,"teacher_disagreement_score":0.23338997,"about_ca_system_score_codex":0.00011718019,"about_ca_system_score_gemma":0.002243655,"threshold_uncertainty_score":0.66187817},"labels":[],"label_agreement":null},{"id":"W4409605135","doi":"10.61091/jcmcc127b-291","title":"Research on the construction of a computational model for assessing students’ psychological state in ideological and political education of college students supported by multidimensional data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Henan Agricultural University","keywords":"Ideology; State (computer science); Mathematics education; Political education; Psychology; Politics; Sociology; Computer science; Political science; Law","score_opus":0.09873489540986322,"score_gpt":0.4818372991348444,"score_spread":0.38310240372498117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99324554,0.000049521524,0.0027924743,0.0013606101,0.0017117554,0.0004662493,0.000020933398,0.0000045357688,0.00034837908],"genre_scores_gemma":[0.9940409,0.00001262458,0.005724907,0.00006966127,0.00012284552,0.00000468164,0.000006477601,0.000004873822,0.000013016654],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99697614,0.0005792089,0.00095959514,0.00021006915,0.00097575044,0.00029923808],"domain_scores_gemma":[0.99283457,0.0054749683,0.00045139962,0.00014325664,0.0009730117,0.00012280158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061843097,0.00011809699,0.00044395684,0.00019348213,0.0003243391,0.00008589857,0.0005169552,0.00015675652,0.000004062759],"category_scores_gemma":[0.0030353104,0.000084946776,0.00005132045,0.00035905335,0.0007724831,0.00012765525,0.0002749839,0.00041508264,1.1091371e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014384101,0.0021275727,0.0046241637,0.00006420597,0.000030279638,5.3066157e-7,0.0006880763,0.00003951827,0.00004764148,0.9914373,0.00040272844,0.0003941039],"study_design_scores_gemma":[0.001757828,0.00033128707,0.0063127293,0.00030192352,0.000029913204,0.0000033814001,0.0038266447,0.010895475,0.00004939799,0.9763602,0.000052714622,0.000078479316],"about_ca_topic_score_codex":0.00008547524,"about_ca_topic_score_gemma":0.0000020399302,"teacher_disagreement_score":0.015077112,"about_ca_system_score_codex":0.00010100093,"about_ca_system_score_gemma":0.0005590477,"threshold_uncertainty_score":0.36337692},"labels":[],"label_agreement":null},{"id":"W4409605136","doi":"10.61091/jcmcc127b-333","title":"A study of the impact of corporate market forecasting capability on the accuracy of strategic decision-making based on computational analysis of business data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Business; Management science; Econometrics; Operations research; Artificial intelligence; Economics; Engineering","score_opus":0.12724935147746816,"score_gpt":0.34301870104896504,"score_spread":0.21576934957149688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99368376,0.00002077558,0.003169549,0.00004841719,0.0020866077,0.00042237344,0.000027730504,0.00000496702,0.00053582026],"genre_scores_gemma":[0.9994433,0.0000013822596,0.00034298107,0.000013616615,0.00017913019,9.283547e-7,0.000005650198,0.000012622366,3.8849763e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965983,0.00012750206,0.0018701917,0.00024492302,0.0009825773,0.00017649733],"domain_scores_gemma":[0.98552096,0.0056349435,0.005730899,0.00080759724,0.0022907273,0.000014870516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003586101,0.00026395288,0.0010891877,0.00062338007,0.00020553645,0.0001296866,0.0013951405,0.000086709966,0.000025073263],"category_scores_gemma":[0.004690585,0.0001546016,0.0002799088,0.003301101,0.0001928531,0.00029893653,0.0006680665,0.00030934822,1.05085e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035735785,0.013553842,0.10164526,0.0027129375,0.0038716835,0.000012658158,0.00082038145,0.35493433,0.00022987777,0.5122685,0.0006818745,0.005695084],"study_design_scores_gemma":[0.0017835575,0.00026605165,0.03961561,0.0021082577,0.0010365584,0.0000015688694,0.0008261696,0.66890466,0.00004355302,0.28526613,0.0000026734508,0.00014519546],"about_ca_topic_score_codex":0.0001572167,"about_ca_topic_score_gemma":0.000006151931,"teacher_disagreement_score":0.31397036,"about_ca_system_score_codex":0.00004355043,"about_ca_system_score_gemma":0.0003008921,"threshold_uncertainty_score":0.63044703},"labels":[],"label_agreement":null},{"id":"W4409605138","doi":"10.61091/jcmcc127b-272","title":"Evaluation of the Balance of Management Power Distribution in Universities Based on Analytic Hierarchy Process","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Division of Graduate Education; Strong","keywords":"Analytic hierarchy process; Balance (ability); Distribution (mathematics); Power (physics); Process (computing); Hierarchy; Computer science; Process management; Business; Operations research; Mathematics; Political science; Psychology; Physics","score_opus":0.009626165240457302,"score_gpt":0.2725168435448668,"score_spread":0.26289067830440954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914081,0.00001605187,0.00062613195,0.00017872037,0.0016521973,0.00019130137,0.000002052384,0.0000016744696,0.005923764],"genre_scores_gemma":[0.9997665,0.0000022865665,0.00018328591,0.0000124093785,0.000022940258,0.0000010632069,9.556002e-7,0.0000030113474,0.0000075403564],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983904,0.00007296881,0.0005312342,0.00008040011,0.0008349039,0.0000900963],"domain_scores_gemma":[0.9988226,0.00016069782,0.00057600887,0.0001260947,0.00029469994,0.00001987658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020065703,0.000081002545,0.00021228299,0.00010529986,0.00008197171,0.000014892396,0.00020309865,0.000040185798,0.000016318447],"category_scores_gemma":[0.00019107072,0.00005886652,0.000059746842,0.0006829542,0.00009468232,0.000092538256,0.00007667553,0.00013706181,1.96318e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006970262,0.001052698,0.0093031665,0.00018466447,0.000053693595,7.1765953e-7,0.00071874604,0.015066059,0.00013919703,0.9719621,0.0001472813,0.0013019518],"study_design_scores_gemma":[0.004246526,0.00031847743,0.06476565,0.001175817,0.00018204114,0.000001922078,0.0023517346,0.098515175,0.0014636916,0.8267217,0.00012192774,0.0001353039],"about_ca_topic_score_codex":0.0000075012017,"about_ca_topic_score_gemma":4.619626e-7,"teacher_disagreement_score":0.14524038,"about_ca_system_score_codex":0.00032874962,"about_ca_system_score_gemma":0.00016542352,"threshold_uncertainty_score":0.2400507},"labels":[],"label_agreement":null},{"id":"W4409605143","doi":"10.61091/jcmcc127b-297","title":"Research on the relationship between enterprise tax burden and economic development based on multiple regression calculation analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Agricultural and Financial Auditing","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Regression analysis; Econometrics; Economics; Regression; Computer science; Statistics; Mathematics","score_opus":0.04777624737482101,"score_gpt":0.2934666171399037,"score_spread":0.24569036976508268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968959,0.000038591235,0.00013736772,0.0015097854,0.0009145801,0.00020541126,0.0000032359312,0.000011544923,0.00028354448],"genre_scores_gemma":[0.9987867,0.000003309304,0.0001729277,0.000020207426,0.0009879251,0.000002890586,0.0000062050226,0.0000015058336,0.000018359433],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998262,0.0002385841,0.0006503204,0.00020032654,0.00043119467,0.00021756001],"domain_scores_gemma":[0.989194,0.009921811,0.0005153989,0.00006737571,0.00021656277,0.00008487995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022379644,0.00016883457,0.0003966856,0.00011940611,0.00097124616,0.00019722283,0.00023914555,0.00013260878,0.0000049229275],"category_scores_gemma":[0.0011857321,0.00006260028,0.00012304196,0.0005886032,0.00006375851,0.00007138843,0.00013405785,0.00048286532,0.000002192103],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047199562,0.00047024916,0.31918827,0.00013640554,0.0004742011,0.0000120142995,0.0015883277,0.0012279749,0.0013196457,0.6373189,0.0010019334,0.03679007],"study_design_scores_gemma":[0.0020334644,0.0010302496,0.82641137,0.001434327,0.0002884823,0.0000030548617,0.0012190659,0.018762907,0.0010897788,0.14487669,0.0024314616,0.00041917936],"about_ca_topic_score_codex":0.000038182578,"about_ca_topic_score_gemma":0.00000737069,"teacher_disagreement_score":0.50722307,"about_ca_system_score_codex":0.00012104087,"about_ca_system_score_gemma":0.000039787057,"threshold_uncertainty_score":0.7470138},"labels":[],"label_agreement":null},{"id":"W4409605147","doi":"10.61091/jcmcc127b-288","title":"Optimization study of cable wiring scheme for photovoltaic power plant based on TS algorithm in the era of low-carbon development","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Scheme (mathematics); Development (topology); Optimization algorithm; Power (physics); Algorithm; Computer science; Engineering; Electrical engineering; Electronic engineering; Mathematics; Mathematical optimization; Physics","score_opus":0.008413190142901318,"score_gpt":0.22278256577801184,"score_spread":0.21436937563511052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723718,0.00013620884,0.02186463,0.000010336409,0.004704295,0.00064529676,0.00000193114,0.00002820075,0.00023729831],"genre_scores_gemma":[0.9884364,0.0000054788898,0.011469309,0.0000031316536,0.000059198897,0.00000906885,7.3277e-7,0.000016160564,4.946352e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998241,0.00004153127,0.0010500223,0.00010836515,0.00037583368,0.00018321759],"domain_scores_gemma":[0.9985686,0.0005378123,0.0004635382,0.0001874637,0.00021788692,0.000024719884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010600442,0.00018470612,0.0006003801,0.00026732907,0.00007042076,0.000042058236,0.0003050873,0.00011122147,5.383407e-7],"category_scores_gemma":[0.0001706041,0.00014432734,0.000066675864,0.0003491967,0.000023743005,0.000050188355,0.00005696032,0.0003169366,2.6500276e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013055352,0.022637812,0.012183638,0.012246969,0.0022176171,0.000110411354,0.034403127,0.65526664,0.009809225,0.23739265,0.0006607215,0.011765669],"study_design_scores_gemma":[0.008850865,0.0013736339,0.00046544257,0.0027493353,0.00005535459,0.0000056003064,0.0023516726,0.96384674,0.009316733,0.01066237,0.0000647996,0.0002574753],"about_ca_topic_score_codex":0.000011383715,"about_ca_topic_score_gemma":8.9628594e-7,"teacher_disagreement_score":0.3085801,"about_ca_system_score_codex":0.000078186014,"about_ca_system_score_gemma":0.00009544941,"threshold_uncertainty_score":0.5885498},"labels":[],"label_agreement":null},{"id":"W4409605152","doi":"10.61091/jcmcc127b-256","title":"Design of Interactive Teaching System for Online Art Course Based on Embedded and Matching Tree","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Course (navigation); Computer science; Tree (set theory); Matching (statistics); Multimedia; Human–computer interaction; Engineering; Mathematics","score_opus":0.02071890033402803,"score_gpt":0.3199095000400732,"score_spread":0.29919059970604517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605152","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1553677,0.00011216433,0.83458114,0.00051189185,0.008674659,0.00034882347,0.00000236391,0.00004540548,0.000355866],"genre_scores_gemma":[0.86926764,0.0000038486155,0.13042441,0.000041358013,0.0002402366,0.0000031620955,0.0000010097568,0.00001083162,0.0000074779805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982415,0.00018164965,0.00085782807,0.00022039376,0.00029834182,0.00020028248],"domain_scores_gemma":[0.994674,0.0035650306,0.0009895599,0.00026122507,0.00043639215,0.000073747884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020758784,0.00021003453,0.000632731,0.0003193433,0.0002501826,0.00011866295,0.0005466559,0.00015580135,4.0663585e-7],"category_scores_gemma":[0.0005058313,0.00018789037,0.000102331294,0.00019108225,0.000068431524,0.00018962641,0.00015691093,0.00049760024,2.406977e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015666409,0.00078266766,0.000040156414,0.00033411445,0.000108094995,0.0000042318725,0.0010899516,0.000504245,0.00056098023,0.9924909,0.0001743414,0.0037536526],"study_design_scores_gemma":[0.0055532074,0.0016090403,0.00013739809,0.002278213,0.0001460728,0.000058463178,0.0016446359,0.32458016,0.0017896306,0.66179127,0.00014566217,0.00026623657],"about_ca_topic_score_codex":0.0000021140033,"about_ca_topic_score_gemma":1.2123066e-7,"teacher_disagreement_score":0.71389997,"about_ca_system_score_codex":0.0000755154,"about_ca_system_score_gemma":0.00031358164,"threshold_uncertainty_score":0.7661947},"labels":[],"label_agreement":null},{"id":"W4409605156","doi":"10.61091/jcmcc127b-257","title":"Research on bamboo flute teaching evaluation in colleges and universities based on deep learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flute; Bamboo; Mathematics education; Psychology; Art; Art history; Materials science","score_opus":0.03774166395651066,"score_gpt":0.3656866032578008,"score_spread":0.3279449393012901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746956,0.00028041267,0.009287122,0.0018755064,0.0057291654,0.0002670472,2.543004e-7,0.00003603548,0.007828848],"genre_scores_gemma":[0.9957987,0.000018322391,0.0039056833,0.000049401136,0.00019408409,0.0000021915919,4.447235e-7,0.0000073324727,0.000023808409],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976022,0.00067056704,0.00050001306,0.00023784583,0.0007344108,0.00025496245],"domain_scores_gemma":[0.9954884,0.0034256924,0.0003078882,0.00020480157,0.00050546695,0.00006776439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006908791,0.00015716875,0.000360854,0.001053993,0.0005661304,0.00019548282,0.0004890584,0.00017242902,0.0000024209676],"category_scores_gemma":[0.0007962835,0.00015083999,0.000050022976,0.00054032955,0.00010317304,0.00019282782,0.0002174811,0.0012928689,8.595387e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059320257,0.00031137106,0.00038427574,0.000055583183,0.000021374542,0.00000901576,0.0010493515,0.0012688126,0.000034755678,0.9914215,0.00007813593,0.0053064763],"study_design_scores_gemma":[0.0034440435,0.0010877902,0.0015298772,0.0008279665,0.000022205948,0.000012391744,0.0031160524,0.27676558,0.00019741527,0.712326,0.0005083112,0.0001624059],"about_ca_topic_score_codex":0.000010046629,"about_ca_topic_score_gemma":7.8335813e-7,"teacher_disagreement_score":0.27909556,"about_ca_system_score_codex":0.0002640632,"about_ca_system_score_gemma":0.00049137336,"threshold_uncertainty_score":0.6151076},"labels":[],"label_agreement":null},{"id":"W4409605158","doi":"10.61091/jcmcc127b-344","title":"Research on Node Optimization and Propagation Path Calculation in Traditional Chinese Medicine Culture Propagation Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Node (physics); Path (computing); Computer science; Physics; Computer network; Acoustics","score_opus":0.029285172681065275,"score_gpt":0.3462456076642239,"score_spread":0.3169604349831586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6625703,0.0007845282,0.30947316,0.0026636426,0.016279878,0.0012803911,0.0000015481888,0.000082427774,0.006864142],"genre_scores_gemma":[0.9935552,0.00011784259,0.0042288066,0.000027786258,0.0020339107,0.0000032634669,0.0000045595953,0.000011697302,0.000016947497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99749255,0.0004494812,0.0007507241,0.00021080117,0.0008255722,0.00027084153],"domain_scores_gemma":[0.997327,0.0011899773,0.0004962622,0.000097607495,0.0007833751,0.000105753206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004265572,0.00016627852,0.00040318104,0.00039622886,0.00073829136,0.00014931412,0.00017561986,0.00019023714,0.000002193311],"category_scores_gemma":[0.0014300133,0.00013531199,0.00004382275,0.0009799427,0.0002316236,0.00023090787,0.00005979341,0.0006555196,1.8365941e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008287019,0.0003132548,0.00043538227,0.00008259037,0.000021666932,0.0000069390157,0.004672777,0.04492006,0.000037185273,0.9458542,0.00014319335,0.0034298957],"study_design_scores_gemma":[0.0034380113,0.00055012567,0.0009358975,0.0014986262,0.000025023082,0.0000072140524,0.0018343024,0.48094252,0.000013549498,0.5104169,0.0001656803,0.00017213092],"about_ca_topic_score_codex":0.000037319795,"about_ca_topic_score_gemma":0.0000022609647,"teacher_disagreement_score":0.43602246,"about_ca_system_score_codex":0.0002216821,"about_ca_system_score_gemma":0.00017877908,"threshold_uncertainty_score":0.5678415},"labels":[],"label_agreement":null},{"id":"W4409605163","doi":"10.61091/jcmcc127b-307","title":"Study on Constructing the Optimization of Omni-Channel Marketing Resource Allocation Based on Dynamic Planning Algorithm in the Era of Digital Transformation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Channel (broadcasting); Computer science; Resource allocation; Resource (disambiguation); Digital transformation; Algorithm; Operations research; Telecommunications; Engineering; World Wide Web; Computer network","score_opus":0.011695119282717069,"score_gpt":0.24768115633941648,"score_spread":0.2359860370566994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96259737,0.000029806966,0.029927533,0.0015531826,0.0018426352,0.0006547405,0.0000015571787,0.000023351557,0.0033697968],"genre_scores_gemma":[0.99912053,0.0000013278188,0.0005923922,0.000092879396,0.00017243136,0.000003530972,0.000004693632,0.00001175115,4.5538212e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981012,0.00008012425,0.0010994892,0.000117946554,0.00045223575,0.00014901496],"domain_scores_gemma":[0.9967377,0.0013425556,0.001322785,0.00019793995,0.00039294726,0.0000060251127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030514686,0.00016869053,0.0003818894,0.00047015946,0.00025478672,0.0001826234,0.00037939925,0.000095796226,8.753076e-7],"category_scores_gemma":[0.00079337513,0.000118828604,0.00007993446,0.0009816354,0.00010394236,0.00029517332,0.000067290064,0.00054870674,1.757128e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004825142,0.0029598288,0.0045183813,0.0006208983,0.00019508034,0.000011308171,0.0045215623,0.05303276,0.00005756554,0.9117385,0.00009746942,0.021764135],"study_design_scores_gemma":[0.008550476,0.0006532538,0.0023268235,0.003033344,0.00025694165,0.000011956944,0.055026274,0.7764451,0.00011803193,0.15318182,0.00008757802,0.00030838983],"about_ca_topic_score_codex":0.00000785004,"about_ca_topic_score_gemma":3.7721128e-7,"teacher_disagreement_score":0.75855666,"about_ca_system_score_codex":0.00003670832,"about_ca_system_score_gemma":0.000046164874,"threshold_uncertainty_score":0.48456898},"labels":[],"label_agreement":null},{"id":"W4409605164","doi":"10.61091/jcmcc127b-286","title":"Simulation and optimization of vibration noise of Fe-based soft magnetic composite core reactor based on the finite element method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Finite element method; Composite number; Core (optical fiber); Vibration; Acoustics; Noise (video); Structural engineering; Materials science; Mechanical engineering; Computer science; Composite material; Physics; Engineering","score_opus":0.013793377786241737,"score_gpt":0.25396431805621233,"score_spread":0.2401709402699706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605164","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28875285,0.00008745617,0.70708716,0.000054240994,0.0035510678,0.00028842347,0.0000032487972,0.00001987793,0.00015566975],"genre_scores_gemma":[0.9727108,0.0000068918976,0.027119976,0.000019207355,0.000120202276,0.000001569718,0.000003359985,0.000017094588,9.051366e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984246,0.000096720614,0.0009327401,0.00009608111,0.0003233232,0.00012655811],"domain_scores_gemma":[0.9967493,0.002137017,0.00059782545,0.00015652698,0.00031204976,0.000047277197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012112176,0.0001794497,0.00048659637,0.0002017929,0.00010340728,0.00005948889,0.00013934629,0.000103117345,0.000008920317],"category_scores_gemma":[0.00042756344,0.00014243796,0.00008507094,0.00022350937,0.000045481305,0.00008722816,0.000040275372,0.00017735781,1.1068675e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015217655,0.0001421469,0.000025977713,0.00053911324,0.000046108846,8.209434e-7,0.00017691472,0.9024293,0.007569986,0.08816961,0.000006645294,0.0007412181],"study_design_scores_gemma":[0.002059494,0.00041171396,0.00003704328,0.0006379663,0.00011903052,8.307822e-7,0.000045346987,0.9520806,0.011366711,0.033100273,0.000033305314,0.0001076563],"about_ca_topic_score_codex":0.0000029546595,"about_ca_topic_score_gemma":9.477031e-8,"teacher_disagreement_score":0.68395793,"about_ca_system_score_codex":0.000037110112,"about_ca_system_score_gemma":0.00006014249,"threshold_uncertainty_score":0.5808451},"labels":[],"label_agreement":null},{"id":"W4409605166","doi":"10.61091/jcmcc127b-274","title":"Evaluation model of auxiliary employability of special population based on AHP-FUZZY algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Employability; Fuzzy logic; Analytic hierarchy process; Computer science; Population; Algorithm; Artificial intelligence; Mathematics; Operations research; Psychology; Sociology; Demography","score_opus":0.020131781013328017,"score_gpt":0.2919959656608285,"score_spread":0.2718641846475005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605166","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22799622,0.000069080685,0.7581217,0.00016160488,0.011739683,0.00040786708,0.000002861232,0.000051120012,0.0014498497],"genre_scores_gemma":[0.8668992,0.000005606579,0.13276567,0.0000141100745,0.00030114924,0.0000018913704,7.9327316e-7,0.000010011286,0.0000015984117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965893,0.000179202,0.0014702532,0.00026520528,0.0012743062,0.00022170223],"domain_scores_gemma":[0.99539053,0.000979442,0.0015848097,0.0005992198,0.0013857328,0.00006025465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003406029,0.00023410273,0.0007759227,0.00042637778,0.00013640593,0.00005732793,0.00090690906,0.00025819885,0.0000022867616],"category_scores_gemma":[0.0018828694,0.00021962664,0.00019436995,0.0005963206,0.00009490522,0.00025227253,0.0003741359,0.0004676945,1.7239226e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051297033,0.00075215887,0.00032662554,0.00015551907,0.000059536087,0.000001620463,0.00025530782,0.015585863,0.00022344866,0.9327691,0.00005880751,0.049760718],"study_design_scores_gemma":[0.0015397194,0.00038624808,0.00015607088,0.00022344918,0.000052377593,0.0000017543285,0.000018969953,0.4505668,0.0017588338,0.5451987,0.0000050053886,0.00009211476],"about_ca_topic_score_codex":0.000008168438,"about_ca_topic_score_gemma":3.3329678e-7,"teacher_disagreement_score":0.63890296,"about_ca_system_score_codex":0.00022621836,"about_ca_system_score_gemma":0.0004516859,"threshold_uncertainty_score":0.89561146},"labels":[],"label_agreement":null},{"id":"W4409605179","doi":"10.61091/jcmcc127b-308","title":"Impact of Social Network Embedding on Cooperative Members’ Wage Income Distribution Mechanism and Access to Employment Information and Computational Modeling Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Mechanism (biology); Wage; Embedding; Distribution (mathematics); Social network analysis; Labour economics; Income distribution; Social network (sociolinguistics); Computer science; Economics; Business; Industrial organization; World Wide Web; Artificial intelligence; Mathematics; Social media; Inequality","score_opus":0.01279790857671198,"score_gpt":0.3141041337687647,"score_spread":0.30130622519205275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605179","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4457719,0.00002114974,0.55281126,0.000118447206,0.0010597252,0.00015595873,0.0000029702676,0.000023850003,0.000034726338],"genre_scores_gemma":[0.9743876,0.000012998054,0.025456693,0.000030550775,0.00009951229,0.0000024800934,0.0000035921666,0.000006105928,4.830539e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803627,0.00007939139,0.0009873571,0.00019998632,0.00044956373,0.00024743789],"domain_scores_gemma":[0.9977729,0.0005370965,0.00078002055,0.00017434022,0.0006417437,0.0000939458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000970995,0.00023458233,0.0007056494,0.00042339266,0.0003959316,0.0004307081,0.00050622766,0.00016483334,8.0070606e-7],"category_scores_gemma":[0.00037408934,0.00020812174,0.00013396693,0.0011115491,0.00005504899,0.00070324825,0.0009106761,0.0003670491,1.16257915e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052195715,0.00008146522,0.00028042166,0.000039133545,0.00034456459,0.0000017276483,0.0009580003,0.14622404,0.000007892657,0.85006976,0.000030805055,0.0019099711],"study_design_scores_gemma":[0.0010163301,0.00045393506,0.000572677,0.00012917284,0.00008883404,0.0000054618513,0.00008331108,0.5196146,0.0000414656,0.4778611,0.0000067590754,0.00012637813],"about_ca_topic_score_codex":0.00001553213,"about_ca_topic_score_gemma":6.0894325e-7,"teacher_disagreement_score":0.5286157,"about_ca_system_score_codex":0.00018903584,"about_ca_system_score_gemma":0.00012082797,"threshold_uncertainty_score":0.8486958},"labels":[],"label_agreement":null},{"id":"W4409605185","doi":"10.61091/jcmcc127b-328","title":"Optimization and Selection of English Teaching Paths in Colleges and Universities Based on the Combination of Dynamic Planning Algorithm and Traditional Teaching Methods","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Computer science; Mathematics education; Algorithm; Artificial intelligence; Mathematics","score_opus":0.015401421798169643,"score_gpt":0.3017420586274674,"score_spread":0.2863406368292977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6199947,0.00022824595,0.37668374,0.00046990212,0.0020833742,0.00017363485,0.0000018076108,0.000016594819,0.00034801837],"genre_scores_gemma":[0.8701359,0.000018591489,0.12976375,0.000016699234,0.000056313387,0.0000010095165,7.676811e-7,0.000004775499,0.0000021940662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860644,0.00038098454,0.00052547496,0.0001519935,0.00022501132,0.00011009684],"domain_scores_gemma":[0.99592686,0.0030653877,0.0005783465,0.00008275715,0.00031337235,0.000033282882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028097823,0.00013324943,0.0003620227,0.00044427122,0.00029389426,0.0000731018,0.00019649179,0.00012542612,5.5008246e-7],"category_scores_gemma":[0.0007110675,0.00011679041,0.000033529286,0.00023147221,0.00012774236,0.00023007397,0.00010994744,0.0005062904,4.7723376e-9],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023874602,0.00024960376,0.0004306084,0.00011534523,0.000034677712,9.464368e-7,0.0032783712,0.0009402016,0.00011587523,0.9897464,0.000010805384,0.00505327],"study_design_scores_gemma":[0.001730781,0.00047407195,0.0015783622,0.0006079506,0.000033923414,0.000012499379,0.0024295074,0.6739448,0.0002765968,0.318792,0.00002006325,0.00009946995],"about_ca_topic_score_codex":0.000008232468,"about_ca_topic_score_gemma":1.6199049e-7,"teacher_disagreement_score":0.67300457,"about_ca_system_score_codex":0.00006373939,"about_ca_system_score_gemma":0.00017121514,"threshold_uncertainty_score":0.47625747},"labels":[],"label_agreement":null},{"id":"W4409605195","doi":"10.61091/jcmcc127b-284","title":"Early warning technology and optimization research on real-time perception of environmental protection risk during the construction period of power transmission and transformation projects based on image processing algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"State Grid Corporation of China","keywords":"Period (music); Warning system; Transformation (genetics); Transmission (telecommunications); Power transmission; Optimization algorithm; Perception; Power (physics); Computer science; Algorithm; Operations research; Artificial intelligence; Engineering; Mathematical optimization; Psychology; Mathematics; Telecommunications","score_opus":0.00946722473949501,"score_gpt":0.25985573596510386,"score_spread":0.25038851122560885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822109,0.000031198768,0.016241437,0.0003013051,0.0003578452,0.00048023334,9.423413e-7,0.000010282963,0.00036588864],"genre_scores_gemma":[0.9919088,0.00022905154,0.007780997,0.000001112284,0.000063210544,0.000003742341,5.466893e-7,0.000008142457,0.000004423629],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983546,0.0002588738,0.0005030244,0.00013402592,0.0006022933,0.00014714844],"domain_scores_gemma":[0.9990707,0.00017482505,0.0005186204,0.00006374478,0.00013050072,0.000041579286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019653565,0.0001153902,0.00025584578,0.00042951046,0.0007958477,0.00007665239,0.00009197211,0.00014245334,0.000004040111],"category_scores_gemma":[0.000103186074,0.00009103273,0.000040506133,0.00033889757,0.00040775974,0.00018714623,0.000029385783,0.0003376252,1.17560894e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038136137,0.0034362508,0.0066562323,0.0026855913,0.00035148783,0.000012949219,0.19873627,0.008626214,0.09127314,0.20745294,0.000015033653,0.4769403],"study_design_scores_gemma":[0.020459646,0.008005637,0.05343,0.008622636,0.00038776823,0.000067174646,0.083634235,0.562822,0.012612303,0.24867158,0.00026392855,0.0010231108],"about_ca_topic_score_codex":0.00001320466,"about_ca_topic_score_gemma":6.808214e-8,"teacher_disagreement_score":0.55419576,"about_ca_system_score_codex":0.00013239794,"about_ca_system_score_gemma":0.00009052565,"threshold_uncertainty_score":0.6121097},"labels":[],"label_agreement":null},{"id":"W4409605201","doi":"10.61091/jcmcc127b-293","title":"Corporate Financial Forecasting Models Supported by Differential Evolutionary Algorithms in the New Era Economy","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Differential (mechanical device); Finance; Algorithm; Computer science; Engineering","score_opus":0.07227461093762397,"score_gpt":0.32527846513734593,"score_spread":0.25300385419972193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72189295,0.0004901011,0.24786006,0.0010733026,0.02264306,0.0006847827,0.0000076247297,0.0000322841,0.005315812],"genre_scores_gemma":[0.9843651,0.0000087748895,0.014143658,0.00009669938,0.0012866767,0.0000037096654,0.0000024701762,0.000023094135,0.00006983989],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99411666,0.0007873767,0.0027660246,0.00043974724,0.0013700257,0.0005201795],"domain_scores_gemma":[0.9892718,0.0064042956,0.0027754982,0.00046240856,0.00089050015,0.00019547887],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010059278,0.00039056243,0.001145293,0.00062880735,0.00045658313,0.0007259406,0.0014964646,0.00025279232,0.000020780348],"category_scores_gemma":[0.007413683,0.00028168972,0.0003018477,0.0013916064,0.00014994811,0.00050880876,0.00044970977,0.0010137992,0.0000015913081],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031295043,0.0008065682,0.0008762414,0.0000762914,0.00010144273,0.000062328334,0.0021612078,0.000526015,0.00016331514,0.91476685,0.03676465,0.04338213],"study_design_scores_gemma":[0.0035831328,0.0002806434,0.00045761818,0.00021806532,0.000060808277,0.00009408681,0.0003474002,0.14018336,0.00009588992,0.85330707,0.001148605,0.0002233487],"about_ca_topic_score_codex":0.000025861476,"about_ca_topic_score_gemma":0.0000012536184,"teacher_disagreement_score":0.2624721,"about_ca_system_score_codex":0.00015121538,"about_ca_system_score_gemma":0.0008812414,"threshold_uncertainty_score":0.9999635},"labels":[],"label_agreement":null},{"id":"W4409605235","doi":"10.61091/jcmcc127b-302","title":"Research and Practice on Optimizing the Innovation of Teaching Methods for Civic and Political Education in Colleges and Universities Based on Deep Neural Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Politics; Engineering ethics; Sociology; Mathematics education; Political science; Pedagogy; Psychology; Engineering; Law","score_opus":0.04698748631906282,"score_gpt":0.44626115609275824,"score_spread":0.39927366977369544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9605783,0.00034191908,0.0139964605,0.011610606,0.004085424,0.0005839587,6.5838344e-7,0.000008537302,0.008794116],"genre_scores_gemma":[0.99017495,0.000017538778,0.009235271,0.00017717932,0.00037736405,0.0000022290603,4.0449325e-7,0.000004595008,0.000010455395],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99802166,0.0009623992,0.00042742494,0.00011723643,0.00024040193,0.00023086148],"domain_scores_gemma":[0.9821476,0.016838718,0.0002628468,0.00006373035,0.0006164664,0.00007064429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077823037,0.00009114699,0.00026641323,0.00029592225,0.0006196238,0.00015062909,0.00010991298,0.000116553834,5.880579e-7],"category_scores_gemma":[0.0055981413,0.000070092596,0.000022617583,0.0003536655,0.0003575587,0.00012953192,0.00006712351,0.00047810317,1.1180231e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018482878,0.0002783687,0.00011051991,0.00007916532,0.000010820195,3.06724e-7,0.0021367285,0.00007171631,0.000009758486,0.99099755,0.000021252225,0.006098963],"study_design_scores_gemma":[0.0013100181,0.0008546613,0.00043649625,0.00036368036,0.0000408894,0.000003831816,0.03583129,0.057846256,0.000029444964,0.90271384,0.00048380907,0.000085813845],"about_ca_topic_score_codex":0.00012488448,"about_ca_topic_score_gemma":0.0000019746444,"teacher_disagreement_score":0.08828376,"about_ca_system_score_codex":0.000116709336,"about_ca_system_score_gemma":0.00035909365,"threshold_uncertainty_score":0.6701902},"labels":[],"label_agreement":null},{"id":"W4409613556","doi":"10.61091/jcmcc127b-012","title":"Blockchain Applications and Challenges in Cross-Institutional Educational Evaluation Data Sharing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Data sharing; Computer science; Data science; Computer security; Medicine","score_opus":0.05293808538886416,"score_gpt":0.3320135053707829,"score_spread":0.27907541998191876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409613556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7122924,0.026748087,0.2312413,0.014247736,0.009464088,0.0018782085,0.000009188822,0.00013575725,0.0039832694],"genre_scores_gemma":[0.9815353,0.0003912197,0.017717404,0.000022266866,0.00030087243,0.000021077021,0.0000029285034,0.000006512203,0.000002429952],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99802834,0.00006687097,0.0008376658,0.0004415294,0.000422824,0.00020277806],"domain_scores_gemma":[0.9976535,0.00056215,0.0004801112,0.00072043267,0.00050777994,0.000076046286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038205541,0.00016910964,0.00036567668,0.00039134367,0.00034563543,0.0002417492,0.0014898598,0.00016830857,0.0000016782795],"category_scores_gemma":[0.00046913666,0.00016975665,0.00003843219,0.0005158602,0.00014730559,0.0002603076,0.001215686,0.0004018671,6.4398085e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005898662,0.00036582325,0.0007267501,0.000113219685,0.000031774085,0.0000011607639,0.0002804562,0.00006514228,0.000031896423,0.97533566,0.000018481542,0.023023725],"study_design_scores_gemma":[0.0015840776,0.00004417299,0.0017478103,0.00015892998,0.000025908965,0.000046919176,0.00007497261,0.16420852,0.000044167246,0.8309479,0.0009923483,0.00012429988],"about_ca_topic_score_codex":0.0000067431793,"about_ca_topic_score_gemma":0.0000023641865,"teacher_disagreement_score":0.2692429,"about_ca_system_score_codex":0.00010823328,"about_ca_system_score_gemma":0.00038146487,"threshold_uncertainty_score":0.6922475},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W4409613623","doi":"10.61091/jcmcc127b-010","title":"Research on Quality Improvement and Safety Measures of Highway Pavement Construction by Unmanned Aircraft Swarm Operation Based on Optimal Control Theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Control (management); Swarm behaviour; Computer science; Transport engineering; Engineering; Artificial intelligence","score_opus":0.01921682274858919,"score_gpt":0.28079296148127725,"score_spread":0.26157613873268803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409613623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9267107,0.0003765529,0.057784293,0.00040523495,0.012225448,0.0010207271,0.000016682938,0.000088715904,0.0013716198],"genre_scores_gemma":[0.99929434,0.000024503754,0.00029526875,0.000022797516,0.00033090689,0.000007538938,0.0000016150885,0.000018240886,0.0000047617823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971564,0.00042672548,0.0012656659,0.00019205046,0.00067621504,0.00028298225],"domain_scores_gemma":[0.9972869,0.001484019,0.00043105293,0.00022672855,0.00048870884,0.000082585866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006162728,0.00024135665,0.00074930704,0.00033938128,0.0003012085,0.00009318332,0.00022352352,0.00031348804,0.000002534902],"category_scores_gemma":[0.00037257152,0.00021069165,0.000100366735,0.00023949475,0.00016266132,0.00007654798,0.000050530947,0.0007673187,4.5352795e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011156943,0.00039863467,0.000052950454,0.00027022415,0.00028654002,0.0000030583296,0.00015495658,0.0075619384,0.007106285,0.9760602,0.00022382992,0.0067656916],"study_design_scores_gemma":[0.068169385,0.011273953,0.00019274645,0.003729082,0.00045173132,0.000019720706,0.0038140255,0.22681807,0.1413687,0.5410108,0.002056621,0.0010951483],"about_ca_topic_score_codex":0.000009189884,"about_ca_topic_score_gemma":2.8562644e-7,"teacher_disagreement_score":0.43504938,"about_ca_system_score_codex":0.00020072714,"about_ca_system_score_gemma":0.00010976732,"threshold_uncertainty_score":0.8591756},"labels":[],"label_agreement":null},{"id":"W4409613627","doi":"10.61091/jcmcc127b-009","title":"Multi-dimensional Optimization Research on the Path of Creating Blue Carbon Industry Clusters in Macao-Zhuhai Pole Based on Intelligent Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Optimization algorithm; Carbon fibers; Computer science; Algorithm; Mathematical optimization; Mathematics","score_opus":0.03395607532549682,"score_gpt":0.30241765193511905,"score_spread":0.2684615766096222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409613627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845606,0.00004164881,0.0050999084,0.0027663067,0.004583387,0.0004925437,0.00000136041,0.00003104562,0.002423218],"genre_scores_gemma":[0.9954656,0.0000031661289,0.0036962938,0.00032247856,0.00047607018,0.000004961985,0.00000266683,0.000021399634,0.0000073765996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977068,0.00010284818,0.0010344022,0.00019910377,0.00066417834,0.00029267903],"domain_scores_gemma":[0.9965649,0.0014510109,0.0008311198,0.0002617745,0.00087215746,0.000018983132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033684052,0.00021457748,0.00048270525,0.0011188425,0.0003542308,0.00015733382,0.00043056262,0.00031248594,0.000008321142],"category_scores_gemma":[0.0012386816,0.00016770553,0.00009291615,0.0015231168,0.00018234129,0.00013055548,0.00027466597,0.0015015387,9.539519e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017165641,0.0018023264,0.0022991917,0.00025235952,0.00008373971,0.000017640088,0.00025036425,0.029870959,0.00012746599,0.96303356,0.00036842065,0.0017223149],"study_design_scores_gemma":[0.0031829874,0.00028216947,0.00029132207,0.0021385131,0.000050408005,0.0000024857834,0.0020041317,0.9234045,0.00053224416,0.06782167,0.00010610061,0.00018347931],"about_ca_topic_score_codex":0.00010471139,"about_ca_topic_score_gemma":0.0000020552136,"teacher_disagreement_score":0.8952119,"about_ca_system_score_codex":0.00011659054,"about_ca_system_score_gemma":0.0001347913,"threshold_uncertainty_score":0.6838833},"labels":[],"label_agreement":null},{"id":"W4409613657","doi":"10.61091/jcmcc127b-014","title":"Quantitative Evaluation of County-level Economic Development in Henan Province Based on Multiple Statistical Regression Models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science and Technology Department of Henan Province; Henan University","keywords":"Statistics; Regression analysis; Geography; Regression; Regional science; Econometrics; Mathematics","score_opus":0.057071993640507544,"score_gpt":0.32805422036315957,"score_spread":0.27098222672265204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409613657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976345,0.00010344872,0.014372358,0.00026911774,0.0047550686,0.0005743033,0.0000038900366,0.000008528006,0.0035682826],"genre_scores_gemma":[0.9882374,0.000023734483,0.011605797,0.000013562745,0.00009539893,0.000004213543,0.00000242516,0.00000901368,0.000008502363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972842,0.00031693716,0.0009603447,0.00017069485,0.0010535107,0.00021432429],"domain_scores_gemma":[0.997155,0.0016583834,0.00070777565,0.000101132,0.00029399586,0.0000837226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005111461,0.0001641026,0.00046948032,0.00025255754,0.00024209928,0.00006150756,0.00022798878,0.00011442755,0.00000649927],"category_scores_gemma":[0.00089479564,0.00014369618,0.00005614504,0.00014474489,0.00013804344,0.00015527496,0.00006795708,0.0002143063,8.198085e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002722615,0.0005691997,0.0013877985,0.00008976622,0.00003897792,0.0000033794436,0.002823363,0.008764794,0.000037371745,0.9825157,0.00014179107,0.0033555902],"study_design_scores_gemma":[0.006568818,0.00033728208,0.0038463,0.0014985498,0.00006147789,7.196956e-7,0.0015589977,0.34263006,0.00038378275,0.6422091,0.0006560726,0.00024883694],"about_ca_topic_score_codex":0.00006337104,"about_ca_topic_score_gemma":0.000027418555,"teacher_disagreement_score":0.3403066,"about_ca_system_score_codex":0.0007081409,"about_ca_system_score_gemma":0.0016894855,"threshold_uncertainty_score":0.585976},"labels":[],"label_agreement":null},{"id":"W4409613680","doi":"10.61091/jcmcc127b-015","title":"Research on the Legal Mechanism of Personal Information Protection in Cross-border Data Flows Based on Numerical Analysis Methods","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Anhui Provincial Department of Education","keywords":"Mechanism (biology); Data Protection Act 1998; Computer science; Law and economics; Data science; Business; Risk analysis (engineering); Computer security; Sociology; Epistemology; Philosophy","score_opus":0.060763951761532785,"score_gpt":0.42590949198829015,"score_spread":0.3651455402267574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409613680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81630975,0.000055796474,0.15250641,0.005066387,0.010161792,0.00122277,0.0000057100033,0.0000232323,0.014648126],"genre_scores_gemma":[0.9962872,0.000014312991,0.003403382,0.00004420928,0.00022172283,0.000004424743,0.0000023628802,0.0000054305656,0.000016926817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99666274,0.0008154165,0.0008112828,0.00015350133,0.0013122105,0.00024482966],"domain_scores_gemma":[0.9969151,0.0019159239,0.0005066216,0.0002371322,0.00035816195,0.00006704848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012968531,0.00013206818,0.00042757567,0.0006381091,0.0005366343,0.00024386351,0.0005087255,0.00013962797,0.000024049967],"category_scores_gemma":[0.0015109137,0.000097712174,0.00011411499,0.0014570279,0.000149589,0.0002980133,0.0001889141,0.0006151463,0.0000012650676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021228162,0.0003900163,0.00016372668,0.000046300414,0.00013255684,0.0000017390496,0.002061894,0.0012084398,0.00002569561,0.992537,0.000081474565,0.0031388411],"study_design_scores_gemma":[0.00392916,0.0008396716,0.0027790775,0.00061537116,0.00019484821,0.000001917125,0.0051762555,0.50673944,0.00040515204,0.46666935,0.012339501,0.00031024418],"about_ca_topic_score_codex":0.0001514959,"about_ca_topic_score_gemma":0.0000039531515,"teacher_disagreement_score":0.5258677,"about_ca_system_score_codex":0.00022270124,"about_ca_system_score_gemma":0.00037846508,"threshold_uncertainty_score":0.449466},"labels":[],"label_agreement":null},{"id":"W4409613707","doi":"10.61091/jcmcc127b-011","title":"Application and Evaluation of Artificial Intelligence in Sustainable Fashion Design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Sustainable design; Artificial intelligence; Sustainability; Biology; Ecology","score_opus":0.03204482639814352,"score_gpt":0.3184077365148528,"score_spread":0.28636291011670933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409613707","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3837481,0.00020412967,0.61300814,0.00010496144,0.002175599,0.00036036124,9.9633986e-8,0.000010953737,0.00038767754],"genre_scores_gemma":[0.98895264,0.000019844572,0.010908585,0.0000065356435,0.00010037308,0.0000040154587,1.9763229e-7,0.0000055285354,0.000002266487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979547,0.0001575689,0.00092513196,0.00017971723,0.00058171805,0.00020113394],"domain_scores_gemma":[0.99765307,0.00065127184,0.00058554485,0.00017784954,0.00086266757,0.000069624286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004316187,0.00013983987,0.0004101308,0.0002862067,0.000088208464,0.00018251508,0.0003743024,0.00008867593,4.5234677e-7],"category_scores_gemma":[0.0005553503,0.00013000885,0.00004864117,0.00063129485,0.000060827977,0.00042693468,0.00025637296,0.00019184363,3.4231974e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026200443,0.00031841313,0.00008096464,0.0001534473,0.000018701414,0.0000031055672,0.0007081166,0.00021199387,0.0002985788,0.9442477,0.000006649474,0.053926125],"study_design_scores_gemma":[0.0006191216,0.0002885647,0.00014461722,0.00022696903,0.000030687934,0.000007182319,0.0005798822,0.26597065,0.0015860373,0.73044443,0.000017140514,0.00008474543],"about_ca_topic_score_codex":0.000005242235,"about_ca_topic_score_gemma":1.7933144e-7,"teacher_disagreement_score":0.6052045,"about_ca_system_score_codex":0.00008850466,"about_ca_system_score_gemma":0.00025606187,"threshold_uncertainty_score":0.53016067},"labels":[],"label_agreement":null},{"id":"W4409613718","doi":"10.61091/jcmcc127b-013","title":"Strategies for Improving Labor Dispute Resolution Mechanisms under the Application of Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Transformation in Law","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dispute resolution; Labor disputes; Artificial intelligence; Computer science; Labor relations; Political science; Economics; Labour economics; Law","score_opus":0.02414346547985765,"score_gpt":0.258296203970988,"score_spread":0.23415273849113036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409613718","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028170273,0.00033007888,0.9630551,0.0003252357,0.0063513666,0.0003937655,0.000016514965,0.000012869621,0.0013447952],"genre_scores_gemma":[0.99192584,0.000013785636,0.0077654454,0.000023855286,0.00024412415,0.000008148944,0.0000018021339,0.00001273524,0.0000042604643],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807656,0.000020044885,0.0014738799,0.00014123581,0.00011344549,0.00017483023],"domain_scores_gemma":[0.9975763,0.0005000945,0.0013411368,0.00018161995,0.0003616388,0.00003923029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016808113,0.0001406981,0.00045660633,0.0001787905,0.00020395716,0.00029156636,0.00033209933,0.00010253009,0.000001314121],"category_scores_gemma":[0.00017944216,0.00012426636,0.00012960153,0.00032026338,0.00009573419,0.00035009248,0.00006997642,0.00017942699,0.0000011110644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004794417,0.00015736815,0.0000062857607,0.00021340587,0.00005037404,1.0910489e-7,0.00029744228,0.001293878,0.00015976276,0.9959459,0.000017872722,0.0018096889],"study_design_scores_gemma":[0.00045481123,0.0001977048,0.000020221032,0.00006452344,0.000027441123,0.0000023380653,0.0012548941,0.10391721,0.0005230873,0.8930355,0.00040240123,0.00009988806],"about_ca_topic_score_codex":0.000016044545,"about_ca_topic_score_gemma":5.4459196e-7,"teacher_disagreement_score":0.96375555,"about_ca_system_score_codex":0.0000639475,"about_ca_system_score_gemma":0.00008926836,"threshold_uncertainty_score":0.5067435},"labels":[],"label_agreement":null},{"id":"W4409613722","doi":"10.61091/jcmcc127b-006","title":"A Study on the Design Path of Interdisciplinary Teaching Aids for STEAM Project-Based Learning in the Context of Science Education Based on Multi-Objective Planning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Research and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Path (computing); Mathematics education; Computer science; Engineering management; Engineering ethics; Sociology; Engineering; Psychology; Geography","score_opus":0.060853435101862974,"score_gpt":0.4006474147813716,"score_spread":0.33979397967950864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409613722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8311522,0.000052810145,0.16266592,0.0005474685,0.0036371376,0.0015329387,9.631136e-7,0.000009970478,0.00040058047],"genre_scores_gemma":[0.9898516,5.691967e-7,0.009921535,0.00006060454,0.00013138601,0.00002328415,3.2776634e-7,0.000007881242,0.0000027910223],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970855,0.00077942293,0.00079496787,0.00022763989,0.000867742,0.00024474334],"domain_scores_gemma":[0.9891621,0.008812681,0.0008715898,0.00030987538,0.0007964524,0.000047334535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01094983,0.00017431944,0.00042222993,0.00066152384,0.0005837811,0.00017339177,0.0012306854,0.000051564803,2.091668e-7],"category_scores_gemma":[0.003953075,0.00010959365,0.00010869127,0.0007757364,0.0001903031,0.00016136075,0.00021843327,0.0006871436,8.253015e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005277088,0.0065462864,0.0014640215,0.00020080885,0.000051897656,0.0000034899922,0.042862795,0.0021920633,0.000576334,0.93902904,0.00019491157,0.0063506435],"study_design_scores_gemma":[0.012781488,0.024989106,0.0049641156,0.0054618916,0.000095291696,0.0000117078525,0.15162958,0.5385334,0.0049997587,0.2560007,0.00009188583,0.0004410969],"about_ca_topic_score_codex":0.000014990246,"about_ca_topic_score_gemma":3.863393e-7,"teacher_disagreement_score":0.68302834,"about_ca_system_score_codex":0.00014353206,"about_ca_system_score_gemma":0.0032295396,"threshold_uncertainty_score":0.57290643},"labels":[],"label_agreement":null},{"id":"W4409613737","doi":"10.61091/jcmcc127b-007","title":"Research on the Optimization Path of Multi-scene Teaching Strategies for English in Higher Vocational Railway Industry Based on Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Vocational education; Reinforcement; Path (computing); Computer science; Mathematics education; Artificial intelligence; Engineering; Engineering management; Psychology; Pedagogy; Structural engineering","score_opus":0.0679323443597558,"score_gpt":0.3630241515685536,"score_spread":0.2950918072087978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409613737","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25798997,0.00015631285,0.70293266,0.006504288,0.021689627,0.0012805471,0.0000016517442,0.00008078761,0.009364117],"genre_scores_gemma":[0.982458,0.000004324436,0.017078558,0.000064697146,0.00034744784,0.000010637988,0.00000118967,0.000008722167,0.000026416408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99794513,0.00033412027,0.00075515953,0.00018732528,0.0005456376,0.00023262427],"domain_scores_gemma":[0.99415,0.004113797,0.00057306304,0.00024157649,0.0008787904,0.000042781994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051255045,0.00015072519,0.00032604963,0.00049165566,0.0003944108,0.00016698439,0.0006744223,0.00025615888,0.0000046080213],"category_scores_gemma":[0.0015515361,0.00011855588,0.00007525799,0.00048112206,0.00009163763,0.0001710236,0.00014296903,0.0015183613,1.9684094e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057650996,0.00046977584,0.0001036207,0.000071840535,0.000023189297,8.223443e-7,0.0009322304,0.100795485,0.000027869286,0.89672446,0.00013165383,0.00066138426],"study_design_scores_gemma":[0.0033946426,0.0010697576,0.00039597042,0.0009876279,0.000014118227,0.0000013789355,0.0019532838,0.623241,0.00035797845,0.36802137,0.00041493878,0.0001479328],"about_ca_topic_score_codex":0.0000053825206,"about_ca_topic_score_gemma":1.5829367e-7,"teacher_disagreement_score":0.724468,"about_ca_system_score_codex":0.000117966025,"about_ca_system_score_gemma":0.0006001648,"threshold_uncertainty_score":0.6596609},"labels":[],"label_agreement":null},{"id":"W4409613891","doi":"10.61091/jcmcc127b-008","title":"A Study of Word Vector Computation and Multilayer Network Representation in English Corpus","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Word (group theory); Computer science; Representation (politics); Natural language processing; Computation; Artificial intelligence; Linguistics; Algorithm","score_opus":0.01470057720781689,"score_gpt":0.2977669803224671,"score_spread":0.28306640311465026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409613891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92182565,0.0009829977,0.070453785,0.000058853446,0.006054339,0.0004506338,2.208262e-7,0.000067693414,0.0001058026],"genre_scores_gemma":[0.9314603,0.000015827418,0.06822898,0.000011440442,0.0002691579,0.0000023346727,2.5585362e-7,0.000009803904,0.0000018878095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99777997,0.00019355946,0.0011244817,0.00024640834,0.00044334336,0.00021223984],"domain_scores_gemma":[0.99706054,0.00092871767,0.0010419472,0.00021138805,0.0006918589,0.00006557475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014829974,0.00019496144,0.00066365785,0.00034459433,0.00012250307,0.00022713767,0.00046101684,0.00011555457,2.4210945e-7],"category_scores_gemma":[0.0007515273,0.00017920024,0.000058152636,0.0008836062,0.000047448808,0.00037358492,0.00043508434,0.00033574118,5.298277e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018249967,0.001867364,0.0081399605,0.0003622177,0.00013854045,0.00006916074,0.016397528,0.000592056,0.0005080634,0.94789964,0.00019286117,0.023650121],"study_design_scores_gemma":[0.00682982,0.0010034195,0.0023235902,0.0010308969,0.000067066496,0.00002909418,0.0011462306,0.049283724,0.0010820118,0.93691653,0.000021145805,0.0002664737],"about_ca_topic_score_codex":0.000028494327,"about_ca_topic_score_gemma":0.0000024727517,"teacher_disagreement_score":0.048691668,"about_ca_system_score_codex":0.00006433706,"about_ca_system_score_gemma":0.000096328375,"threshold_uncertainty_score":0.7307574},"labels":[],"label_agreement":null},{"id":"W4409723107","doi":"10.61091/jcmcc126-02","title":"Carathéodory number and exchange number in δ-convexity","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Functional Equations Stability Results","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convexity; Mathematics; Economics; Financial economics","score_opus":0.02662791561756537,"score_gpt":0.3066782045281111,"score_spread":0.28005028891054573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409723107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982455,0.00018960604,0.0019824258,0.00028521783,0.0075274426,0.00035638976,0.0000031117584,0.000031853397,0.0071689333],"genre_scores_gemma":[0.99227285,0.000035777895,0.0070893797,0.000032718868,0.00048357237,0.0000042702936,8.405374e-7,0.000025250987,0.000055331173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972884,0.00019979276,0.0013892908,0.00026061237,0.00054958655,0.0003123076],"domain_scores_gemma":[0.9954722,0.0028523854,0.00070951803,0.00026870586,0.00056313083,0.00013404647],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026905548,0.0002902384,0.00086369464,0.00021055435,0.00019823591,0.00015242553,0.00025068838,0.00022561305,0.000029181281],"category_scores_gemma":[0.0026978513,0.0002717491,0.00013277523,0.00049901084,0.00014893217,0.0002346901,0.00027639332,0.0006136647,0.0000038586995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014157058,0.00070053205,0.0051918477,0.00064261997,0.000088146335,0.000016580754,0.0017144552,0.0000037937095,0.00006856182,0.9900265,0.0006161915,0.00078924414],"study_design_scores_gemma":[0.004989558,0.00012350258,0.001053874,0.00054301275,0.0000902644,0.00007682364,0.0005023088,0.0016198255,0.0001537704,0.98996675,0.0006499739,0.00023031584],"about_ca_topic_score_codex":0.000021682737,"about_ca_topic_score_gemma":0.000003696962,"teacher_disagreement_score":0.009817839,"about_ca_system_score_codex":0.00017909364,"about_ca_system_score_gemma":0.00021586669,"threshold_uncertainty_score":0.9999735},"labels":[],"label_agreement":null},{"id":"W4409723126","doi":"10.61091/jcmcc126-03","title":"On the classification of graphs induced by a sequence of local complementations of Paley graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Sequence (biology); Mathematics; Computer science; Biology; Genetics","score_opus":0.049367005393984316,"score_gpt":0.3286106279228144,"score_spread":0.2792436225288301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409723126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873661,0.00005911744,0.009923535,0.00020889715,0.001253922,0.00043267917,0.000023598062,0.00001078087,0.00072139414],"genre_scores_gemma":[0.9983402,0.000016706834,0.0015710971,0.000013783207,0.000031986663,0.000006381809,0.0000028114098,0.000014698514,0.00000232752],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99720997,0.0002281421,0.001705017,0.00014697203,0.00053878286,0.00017112562],"domain_scores_gemma":[0.99252135,0.0038615393,0.0023734027,0.00037175196,0.0008104685,0.00006147527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019518186,0.00020526485,0.00072723004,0.00027767656,0.00019950412,0.000026757714,0.00051067123,0.000117855794,0.00000802187],"category_scores_gemma":[0.0006494257,0.0001570843,0.00023968703,0.0007778861,0.00033477845,0.00007317256,0.0000965581,0.00034484544,1.8965713e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075090094,0.00095332257,0.00006988579,0.00033307588,0.00020214428,2.7449428e-7,0.0007064937,0.0000051264856,0.03712482,0.95976263,0.00041577578,0.00035133678],"study_design_scores_gemma":[0.0017059263,0.00048295723,0.00012559627,0.00064901,0.0002042828,0.000003438019,0.001641599,0.0006598236,0.02104216,0.97335124,0.000023813147,0.000110179055],"about_ca_topic_score_codex":0.000010148028,"about_ca_topic_score_gemma":6.412567e-7,"teacher_disagreement_score":0.01608266,"about_ca_system_score_codex":0.00003161266,"about_ca_system_score_gemma":0.00012739951,"threshold_uncertainty_score":0.6405712},"labels":[],"label_agreement":null},{"id":"W4409723136","doi":"10.61091/jcmcc126-04","title":"An automated multimodal medical image fusion framework for Alzheimer detection using deep learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Deep learning; Image fusion; Computer science; Fusion; Image (mathematics); Computer vision; Pattern recognition (psychology); Machine learning","score_opus":0.026735156790670025,"score_gpt":0.33368448649986676,"score_spread":0.30694932970919675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409723136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6599198,0.00006066448,0.32689676,0.00011297429,0.01240788,0.0003166659,6.165707e-7,0.00017746595,0.000107156884],"genre_scores_gemma":[0.9867534,0.000015311007,0.012236556,0.000063837164,0.00089199794,0.0000037930185,6.134697e-7,0.00003295985,0.0000015567832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973839,0.00032289597,0.000998749,0.0003096696,0.0006780776,0.00030668604],"domain_scores_gemma":[0.9964747,0.0016965116,0.00097543496,0.00019373934,0.00044888805,0.00021076859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001755005,0.00024192016,0.0005034303,0.00029485958,0.00077363657,0.00030556216,0.00036931783,0.00031993387,0.000010101145],"category_scores_gemma":[0.004100598,0.0002272508,0.00016252881,0.0004983056,0.00012167839,0.00030765214,0.000103625505,0.00076735613,0.0000011819717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047066438,0.0010946085,0.000056718894,0.00022105672,0.00009002448,0.000020278221,0.0010696006,0.00039453723,0.2995882,0.669852,0.000015361791,0.027126906],"study_design_scores_gemma":[0.0026681507,0.000520991,0.000065123604,0.0002942705,0.00011431271,0.00009345599,0.0003407051,0.7178908,0.07853627,0.19915473,0.00012176897,0.00019944325],"about_ca_topic_score_codex":0.0000054786697,"about_ca_topic_score_gemma":3.322994e-7,"teacher_disagreement_score":0.7174962,"about_ca_system_score_codex":0.00010177909,"about_ca_system_score_gemma":0.0001530043,"threshold_uncertainty_score":0.92670184},"labels":[],"label_agreement":null},{"id":"W4409723240","doi":"10.61091/jcmcc126-01","title":"Construction of directed strongly regular graphs as generalized Cayley graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Finite Group Theory Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cayley graph; Mathematics; Combinatorics; Indifference graph; Chordal graph; Discrete mathematics; Graph","score_opus":0.020527249411802728,"score_gpt":0.300097361200469,"score_spread":0.27957011178866625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409723240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98547405,0.0003553636,0.0017201717,0.000101429156,0.009167785,0.00047316833,0.000004766015,0.000079386155,0.0026238938],"genre_scores_gemma":[0.9731763,0.000070679715,0.02633109,0.000009733918,0.00031793697,0.0000037560424,0.0000020673572,0.00005090102,0.000037558315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99559045,0.00047398245,0.0020771937,0.00030096754,0.0010864649,0.00047094305],"domain_scores_gemma":[0.9935062,0.0023832922,0.0018364142,0.0005056094,0.0015635871,0.00020488925],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003384109,0.0004048941,0.0014476418,0.000820437,0.00030369058,0.0001576283,0.00064727594,0.00030703674,0.000023446368],"category_scores_gemma":[0.0028588115,0.00036946364,0.0004121796,0.0010902197,0.00038653315,0.00020549337,0.00032313488,0.0007437954,0.000001249648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004068937,0.0006591626,0.00041025603,0.0006414836,0.0004508253,0.000019908093,0.00067519984,0.000006726702,0.0027231541,0.9928681,0.0004087253,0.00072955067],"study_design_scores_gemma":[0.006329093,0.00069920736,0.000063000494,0.000843215,0.00028104507,0.00009899605,0.00062817754,0.0011131646,0.0060330317,0.9834338,0.00019915515,0.00027813215],"about_ca_topic_score_codex":0.0000233542,"about_ca_topic_score_gemma":7.0599276e-7,"teacher_disagreement_score":0.024610918,"about_ca_system_score_codex":0.000113731294,"about_ca_system_score_gemma":0.00035324437,"threshold_uncertainty_score":0.9998757},"labels":[],"label_agreement":null},{"id":"W4409723299","doi":"10.61091/jcmcc127-01","title":"Optimization of regional economic resources combined with artificial intelligence technology and multi-factor analysis in belt and road environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Factor (programming language); Computer science; Artificial intelligence; Environmental resource management; Environmental science","score_opus":0.015355680592202783,"score_gpt":0.2370488872731981,"score_spread":0.2216932066809953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409723299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832277,0.00015047118,0.014681928,0.0010835122,0.00056078454,0.00018565981,9.3145354e-7,0.000019002837,0.00008996182],"genre_scores_gemma":[0.993656,0.00004361838,0.0061319727,0.000028395314,0.00012319586,0.0000022323486,0.0000021863573,0.000010616691,0.0000018213414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985969,0.000016224501,0.0008745361,0.00019136471,0.00016034982,0.00016062593],"domain_scores_gemma":[0.99860024,0.00016241813,0.00090643985,0.00015030685,0.00016571862,0.000014847703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052802725,0.00018114751,0.0006041588,0.0016622662,0.00015465343,0.00011366645,0.00019786734,0.00016624521,0.000005080165],"category_scores_gemma":[0.0001139816,0.00016172382,0.000049944003,0.0010006104,0.00030540145,0.00023833699,0.00023231826,0.00028517007,2.9000273e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012829012,0.0003625004,0.023383021,0.00012389768,0.00027307545,0.0000043310138,0.00016723032,0.0018881825,0.00008668086,0.97042155,0.0000063596726,0.003154889],"study_design_scores_gemma":[0.0039041266,0.00047491502,0.008600964,0.00054125016,0.0007762395,0.000015355821,0.0027377035,0.26525998,0.0003057057,0.71678513,0.00015799749,0.0004406276],"about_ca_topic_score_codex":0.00005314149,"about_ca_topic_score_gemma":0.0000110523,"teacher_disagreement_score":0.2633718,"about_ca_system_score_codex":0.000040977226,"about_ca_system_score_gemma":0.000032171047,"threshold_uncertainty_score":0.6594906},"labels":[],"label_agreement":null},{"id":"W4409783860","doi":"10.61091/jcmcc127b-352","title":"Optimization of endometrial tolerance ultrasound image reconstruction algorithm supported by machine vision technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer vision; Computer science; Artificial intelligence; Machine vision; Ultrasound; Optimization algorithm; Image (mathematics); Mathematical optimization; Mathematics; Medicine; Radiology","score_opus":0.005910221520817141,"score_gpt":0.28072826416882063,"score_spread":0.27481804264800347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409783860","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23660624,0.0010786889,0.7308029,0.0004762186,0.028405923,0.0005467908,0.000013074163,0.00011798626,0.0019521774],"genre_scores_gemma":[0.8050659,0.00032265062,0.19355051,0.000012168811,0.0009906257,0.0000015279319,0.0000040487444,0.00002374959,0.000028871711],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973754,0.00019930727,0.0012721594,0.000229801,0.0005955185,0.00032779988],"domain_scores_gemma":[0.9960567,0.0011230471,0.0014992747,0.00017980588,0.0010265205,0.00011470091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020280962,0.00022461162,0.0007726738,0.0005446962,0.0005463046,0.00014829343,0.00040108297,0.0002625009,0.000011918988],"category_scores_gemma":[0.0018620798,0.00022162661,0.00014787033,0.0013258912,0.00038460706,0.00029628837,0.00011420096,0.00046555273,3.9721894e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038627622,0.0021564434,0.0006824838,0.0003423989,0.00043715324,0.000023302317,0.003257367,0.002008022,0.012873653,0.6876497,0.0009650047,0.28921816],"study_design_scores_gemma":[0.015323558,0.0015545136,0.000027341703,0.0015761582,0.00028163832,0.00011491,0.0033584263,0.09903526,0.011584613,0.86323214,0.0032309825,0.0006804637],"about_ca_topic_score_codex":0.000039334387,"about_ca_topic_score_gemma":5.1998757e-7,"teacher_disagreement_score":0.56845963,"about_ca_system_score_codex":0.00013212314,"about_ca_system_score_gemma":0.0002607784,"threshold_uncertainty_score":0.9037671},"labels":[],"label_agreement":null},{"id":"W4409783869","doi":"10.61091/jcmcc127b-353","title":"The Design of Decision Tree Algorithm Assisted Teaching Activities in Preschool Education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Decision tree; Computer science; Decision tree learning; Tree (set theory); Mathematics education; Artificial intelligence; Psychology; Mathematics","score_opus":0.017744593209588048,"score_gpt":0.3099604413659842,"score_spread":0.2922158481563962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409783869","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22023182,0.0011871448,0.7562684,0.000757797,0.02021449,0.00035267978,3.713834e-7,0.000031373045,0.0009559483],"genre_scores_gemma":[0.8721844,0.00006572815,0.12745453,0.000019092942,0.0002430044,0.000004214266,1.9845884e-7,0.0000071727627,0.000021686414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99802566,0.00027005145,0.0009595777,0.00016248642,0.0003822392,0.00020001022],"domain_scores_gemma":[0.99445677,0.0040260656,0.0008298764,0.000312847,0.00032306308,0.000051387677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030313258,0.00016111278,0.00042196808,0.00036559638,0.00033534237,0.00018141489,0.0009372576,0.00015346201,5.2482454e-7],"category_scores_gemma":[0.0012479592,0.00012400365,0.00008558014,0.00041132662,0.00009124131,0.0003049478,0.00026773877,0.00060695497,2.623221e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031425152,0.00048522375,0.0001333346,0.000033718014,0.000036988444,0.0000018142018,0.0005075036,0.000038097736,0.0002260772,0.8025529,0.000259332,0.19569361],"study_design_scores_gemma":[0.0013481457,0.00026729924,0.0009739917,0.0005797831,0.000024756073,0.000046108828,0.00062530243,0.01980843,0.00082007184,0.9748844,0.0005023203,0.00011940122],"about_ca_topic_score_codex":0.000010812594,"about_ca_topic_score_gemma":6.9122177e-7,"teacher_disagreement_score":0.65195256,"about_ca_system_score_codex":0.00009859511,"about_ca_system_score_gemma":0.00082778034,"threshold_uncertainty_score":0.5056722},"labels":[],"label_agreement":null},{"id":"W4409783870","doi":"10.61091/jcmcc127b-351","title":"Extraction study of soil mineral ions and microbial influences on phosphorus and sulfur cycling based on principal component analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cycling; Sulfur; Phosphorus; Mineral; Environmental chemistry; Extraction (chemistry); Environmental science; Principal component analysis; Chemistry; Mathematics; Chromatography; Geography; Forestry","score_opus":0.009503991804024465,"score_gpt":0.25521065991459513,"score_spread":0.24570666811057065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409783870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971953,0.000025677084,0.00020634646,0.00006251642,0.0018770802,0.0001799869,0.000001628087,0.000007785468,0.00044367908],"genre_scores_gemma":[0.9994524,0.000014433215,0.00042789406,0.000028149032,0.000065989814,0.000001172685,4.838705e-7,0.000004856187,0.000004598366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982961,0.00014419573,0.0007024361,0.00024047094,0.0004100619,0.00020673234],"domain_scores_gemma":[0.99818337,0.00089623075,0.0006145502,0.00013339824,0.000061411076,0.00011102824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014405127,0.00018436115,0.00055195077,0.00023203912,0.00041355085,0.00008316429,0.00019694757,0.00009945882,0.000005630906],"category_scores_gemma":[0.00025827097,0.00015497791,0.00007781878,0.0004877644,0.00024508475,0.00012313128,0.00016386836,0.0003174714,4.68978e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021015943,0.0138709275,0.77219653,0.0002968644,0.001146896,0.00013176666,0.0097911535,0.07376644,0.023713525,0.09713145,0.00014486871,0.005707955],"study_design_scores_gemma":[0.011830826,0.0054503,0.73650223,0.0005439008,0.0011894093,0.000046220706,0.0018934938,0.15742025,0.0022750457,0.08219554,0.00006748946,0.000585314],"about_ca_topic_score_codex":0.00011122036,"about_ca_topic_score_gemma":0.000022475528,"teacher_disagreement_score":0.0836538,"about_ca_system_score_codex":0.00007909993,"about_ca_system_score_gemma":0.000034984234,"threshold_uncertainty_score":0.6319816},"labels":[],"label_agreement":null},{"id":"W4409785123","doi":"10.61091/jcmcc127b-466","title":"A Study of Human-Computer Interaction in Evaluating Students’ Emotional Behavior and Educational Management under Big Data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Psychology; Big data; Applied psychology; Data science; Human–computer interaction; Data mining","score_opus":0.26248944465343654,"score_gpt":0.4691247796666692,"score_spread":0.20663533501323267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409785123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911381,0.000061710234,0.0028417497,0.00028950817,0.005056016,0.00046849565,0.0000041717153,0.000007908793,0.00013235143],"genre_scores_gemma":[0.9960167,0.0000117369,0.003611747,0.000011666239,0.00032163956,0.000006697728,0.0000036604342,0.000007281646,0.000008898904],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964804,0.00015162013,0.0016411592,0.00035230498,0.0012234054,0.00015108423],"domain_scores_gemma":[0.99640685,0.001262924,0.0011265188,0.00066283677,0.0004901452,0.00005070758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004272465,0.00016050799,0.00051727623,0.00061270176,0.00022481642,0.0003345395,0.0015486719,0.00008410753,0.000005251744],"category_scores_gemma":[0.0006127509,0.00013434917,0.00004680303,0.0007060433,0.000078932906,0.00025140375,0.0024454265,0.00033193876,6.427157e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069553316,0.008430995,0.048094377,0.000113616385,0.0002257761,0.00000957143,0.0011801238,0.000102076745,0.00021476214,0.8710122,0.00091880525,0.06962812],"study_design_scores_gemma":[0.005537362,0.00081318244,0.117785044,0.00044806759,0.00016127784,0.000024241757,0.008328057,0.0038742418,0.000027298342,0.86276317,0.000067735076,0.00017034468],"about_ca_topic_score_codex":0.000017870385,"about_ca_topic_score_gemma":0.0000051792586,"teacher_disagreement_score":0.06969067,"about_ca_system_score_codex":0.00006740053,"about_ca_system_score_gemma":0.00007893408,"threshold_uncertainty_score":0.5478601},"labels":[],"label_agreement":null},{"id":"W4409785134","doi":"10.61091/jcmcc127b-469","title":"Research on trajectory planning and control of flying robotic arm based on image moments and deep learning vector product","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province","keywords":"Trajectory; Artificial intelligence; Computer vision; Product (mathematics); Deep learning; Computer science; Image (mathematics); Control (management); Robotic arm; Robotic hand; Control theory (sociology); Mathematics; Robot; Physics","score_opus":0.024955856157200897,"score_gpt":0.29868215622649363,"score_spread":0.2737263000692927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409785134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9414853,0.0012386761,0.04898322,0.00011546504,0.0058920993,0.00047425192,3.0788027e-7,0.00007737703,0.0017333361],"genre_scores_gemma":[0.99859136,0.00002238012,0.0009945416,0.000010927627,0.00033850232,0.000002073667,5.694548e-7,0.00003431722,0.0000053357176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795264,0.00024032296,0.00074479956,0.00020222242,0.0005562155,0.00030380598],"domain_scores_gemma":[0.99744844,0.0016687777,0.00032387386,0.00014175447,0.00029679897,0.00012037068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021606325,0.00023667086,0.0006445248,0.0005824275,0.0003568948,0.00017403947,0.00015008093,0.00010788215,0.0000033969156],"category_scores_gemma":[0.0006969971,0.00022520237,0.00006883391,0.00033750295,0.000089021094,0.00011351189,0.00005811957,0.0010307773,4.8590766e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000727525,0.000894236,0.004029065,0.003065552,0.00045952311,0.000058475238,0.0042668832,0.7564598,0.011282788,0.21073297,0.000091836904,0.0079314],"study_design_scores_gemma":[0.0064635104,0.001285481,0.0033510344,0.0021863324,0.00009030806,0.000013331234,0.0008716235,0.9680575,0.0012574363,0.016059102,0.00008383356,0.00028047845],"about_ca_topic_score_codex":0.0000024448698,"about_ca_topic_score_gemma":6.6309504e-8,"teacher_disagreement_score":0.21159777,"about_ca_system_score_codex":0.00008964506,"about_ca_system_score_gemma":0.000049044564,"threshold_uncertainty_score":0.9183486},"labels":[],"label_agreement":null},{"id":"W4409785137","doi":"10.61091/jcmcc127b-465","title":"Language recognition in wireless network communication and its type generalization for second language teaching and learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Generalization; Wireless network; Type (biology); Artificial intelligence; Wireless; Natural language processing; Telecommunications; Mathematics","score_opus":0.018681019878661387,"score_gpt":0.31868363952963297,"score_spread":0.3000026196509716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409785137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93941146,0.0012525537,0.055495977,0.00020159304,0.0030808721,0.00020198323,3.5001773e-7,0.000027565893,0.00032762229],"genre_scores_gemma":[0.9413954,0.00004690662,0.058178242,0.0000510542,0.00028315143,0.0000022390059,0.0000029253233,0.000010465575,0.000029590463],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99841684,0.0005791671,0.0005327507,0.00016000203,0.00014439494,0.00016685334],"domain_scores_gemma":[0.99781865,0.0013461661,0.0004514281,0.0001315575,0.00018773979,0.00006444163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040939725,0.0001344492,0.00033960326,0.00018572362,0.00038590605,0.0002783278,0.00023106136,0.00009954353,0.0000011427768],"category_scores_gemma":[0.0008051024,0.00013287495,0.00003339617,0.000249912,0.000021117961,0.00027485887,0.00017513405,0.0005721265,1.5003906e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032292235,0.00015882637,0.000446873,0.00028683216,0.000040810355,0.0000023777861,0.019726282,0.00005357946,0.001419351,0.94382066,0.00008675823,0.033925377],"study_design_scores_gemma":[0.007892749,0.0006968027,0.0016559019,0.001948962,0.00010791823,0.00008120307,0.004055361,0.26281995,0.001643326,0.7170731,0.0014166383,0.0006080905],"about_ca_topic_score_codex":0.000011893171,"about_ca_topic_score_gemma":0.0000019008132,"teacher_disagreement_score":0.26276636,"about_ca_system_score_codex":0.00004367175,"about_ca_system_score_gemma":0.000068525645,"threshold_uncertainty_score":0.5418483},"labels":[],"label_agreement":null},{"id":"W4409785139","doi":"10.61091/jcmcc127b-471","title":"Digital Virtual Exhibition Paths for Art Museums Based on Internet and Virtual Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Exhibition; The Internet; Multimedia; World Wide Web; Art; Visual arts; Computer science","score_opus":0.009735641285746253,"score_gpt":0.2525552154276288,"score_spread":0.24281957414188257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409785139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.528212,0.00007845175,0.44958323,0.0009556713,0.018222496,0.0004938388,0.0000057761467,0.00012345336,0.0023250515],"genre_scores_gemma":[0.9957166,0.000005773243,0.003775005,0.00008974639,0.00033628292,0.0000042688253,0.00000208026,0.000017295439,0.000052969426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980732,0.000034679353,0.0008334085,0.0003183471,0.00042820896,0.00031212825],"domain_scores_gemma":[0.99760294,0.0010657689,0.00052609964,0.0002579418,0.00039373545,0.00015351975],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007311482,0.0002810634,0.00059775385,0.00042435358,0.00016122483,0.0007191795,0.00056085864,0.00018485036,8.8469704e-7],"category_scores_gemma":[0.0006282943,0.00024747223,0.0001388654,0.00042520958,0.00012236046,0.000514557,0.0003612212,0.00033929467,0.0000028420052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009678644,0.0005658617,0.000072756244,0.00008645837,0.000051167186,0.000013548944,0.00017486847,0.00001662841,0.00013610697,0.96784496,0.00057473587,0.030366147],"study_design_scores_gemma":[0.008505886,0.008044507,0.00006266021,0.0017577294,0.00006398253,0.000061048166,0.00032134616,0.12751627,0.0026980867,0.84508836,0.0054053627,0.00047476852],"about_ca_topic_score_codex":3.0087637e-7,"about_ca_topic_score_gemma":4.9337586e-8,"teacher_disagreement_score":0.46750456,"about_ca_system_score_codex":0.00006514093,"about_ca_system_score_gemma":0.00014715742,"threshold_uncertainty_score":0.99999774},"labels":[],"label_agreement":null},{"id":"W4409785165","doi":"10.61091/jcmcc127b-467","title":"Optimal Path Analysis of Fresh Food Logistics and Distribution in 5G Internet of Things Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"Path (computing); Internet of Things; Path analysis (statistics); Distribution (mathematics); The Internet; Business; Food distribution; Computer science; Internet privacy; World Wide Web; Statistics; Computer network; Mathematics; Medicine","score_opus":0.0085591719696879,"score_gpt":0.22574648156646823,"score_spread":0.21718730959678034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409785165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6971262,0.00040055718,0.3004821,0.00006606992,0.0017466262,0.00010843494,0.000003521153,0.000010469381,0.000056011526],"genre_scores_gemma":[0.9936989,0.000044698125,0.0062052812,0.000005683311,0.000037387523,7.534978e-7,0.0000016555867,0.0000043836817,0.0000012379528],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979242,0.00010605483,0.0012431911,0.0001913649,0.00035471082,0.00018048345],"domain_scores_gemma":[0.99782187,0.0005390066,0.0011404367,0.00025834143,0.00018487748,0.000055477212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014939713,0.0001680741,0.00090267125,0.00044094247,0.00005496082,0.000062220824,0.0005547969,0.00019597722,8.499299e-7],"category_scores_gemma":[0.0003292442,0.00015464185,0.00013972347,0.000667491,0.0001454169,0.00017049265,0.000385233,0.00034586265,7.3476265e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030808467,0.00041704287,0.0021629047,0.00017347909,0.0004013089,0.000006920719,0.0018409026,0.00020675837,0.00020263651,0.9937042,0.00003065798,0.0008223929],"study_design_scores_gemma":[0.004393551,0.0017914706,0.00337344,0.00085188914,0.000619373,0.000026809963,0.0006974805,0.3199367,0.004372514,0.66344744,0.00017416908,0.00031521282],"about_ca_topic_score_codex":0.000026343774,"about_ca_topic_score_gemma":6.1511236e-7,"teacher_disagreement_score":0.3302568,"about_ca_system_score_codex":0.000066112065,"about_ca_system_score_gemma":0.000063453816,"threshold_uncertainty_score":0.6306112},"labels":[],"label_agreement":null},{"id":"W4409785434","doi":"10.61091/jcmcc127b-506","title":"Reinforcement learning-based state space dimensionality reduction and optimal control strategy design in robot navigation systems","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Dimensionality reduction; State space; Computer science; Reduction (mathematics); Control (management); State (computer science); Robot; Artificial intelligence; Curse of dimensionality; Space (punctuation); Robot learning; Control engineering; Control theory (sociology); Engineering; Mobile robot; Mathematics; Algorithm","score_opus":0.012314661775984894,"score_gpt":0.25544694319744843,"score_spread":0.24313228142146354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409785434","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12745507,0.000344673,0.8669354,0.00020471652,0.0044546193,0.0005319908,2.7048586e-7,0.00004066935,0.000032588523],"genre_scores_gemma":[0.9865763,0.000009969123,0.013230083,0.000008348324,0.00014644339,0.00000606797,8.7351503e-7,0.000012556947,0.000009329935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99719024,0.00046549173,0.0011431572,0.00029757837,0.000566541,0.00033698403],"domain_scores_gemma":[0.99701506,0.0009326138,0.0011029007,0.00021566206,0.0006048524,0.0001288937],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0035601275,0.00027152558,0.0006919187,0.00029392887,0.0002637414,0.00046679733,0.00036804614,0.0001276627,2.6764457e-7],"category_scores_gemma":[0.0003478372,0.00025578286,0.0000827524,0.00042053347,0.00009021449,0.00037793082,0.00015922399,0.0005827574,3.3152816e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019154733,0.00023229168,0.0000934748,0.00015007184,0.00008308632,0.000028365372,0.00034121302,0.43827355,0.00056504976,0.55824065,0.000013027023,0.0017876921],"study_design_scores_gemma":[0.0064599183,0.0008727196,0.00013728949,0.0006072512,0.000043660264,0.00004926741,0.0001507128,0.88255066,0.00018831764,0.10870863,0.00003067278,0.00020089978],"about_ca_topic_score_codex":0.000034014414,"about_ca_topic_score_gemma":1.3892546e-7,"teacher_disagreement_score":0.85912126,"about_ca_system_score_codex":0.00023091951,"about_ca_system_score_gemma":0.00034494427,"threshold_uncertainty_score":0.99998945},"labels":[],"label_agreement":null},{"id":"W4409786111","doi":"10.61091/jcmcc127a-152","title":"A Decision Tree Analysis Approach to Traditional and Modern Design Elements in Rural Landscaping","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Korean Urban and Social Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Landscaping; Decision tree; Environmental planning; Computer science; Architectural engineering; Engineering; Geography; Data mining; Ecology; Biology","score_opus":0.022571072493436258,"score_gpt":0.2474448998581752,"score_spread":0.22487382736473893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409786111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89932656,0.00017917565,0.09498954,0.000069847934,0.0015226994,0.0002623426,0.0000011319333,0.000010064427,0.0036386147],"genre_scores_gemma":[0.9817342,0.000025396865,0.018049633,0.00003402828,0.0001380001,0.0000026271152,6.882483e-7,0.000008027497,0.000007368939],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998301,0.00008850254,0.00073112577,0.00017643294,0.00047237752,0.00023052978],"domain_scores_gemma":[0.998954,0.0005011639,0.0002862476,0.00009373954,0.00004634411,0.00011851096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013656355,0.00017559994,0.00058742997,0.00025683866,0.00022855862,0.000119735494,0.0002107962,0.00008011961,0.0000054193297],"category_scores_gemma":[0.00023479002,0.00015468946,0.00010942896,0.00074883364,0.0000673313,0.000119021075,0.00019462529,0.00020898395,8.0185515e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010028239,0.0044640847,0.10336328,0.00021132236,0.001884055,0.000037838523,0.021020485,0.010167272,0.0009235625,0.76722866,0.0030781622,0.086618446],"study_design_scores_gemma":[0.0048899804,0.00037187265,0.038377956,0.00024180196,0.00035746186,0.000009444442,0.00091521046,0.08826719,0.0000532721,0.86612713,0.00007951643,0.00030918518],"about_ca_topic_score_codex":0.000026954802,"about_ca_topic_score_gemma":0.0000046420923,"teacher_disagreement_score":0.09889844,"about_ca_system_score_codex":0.00015729424,"about_ca_system_score_gemma":0.00002443832,"threshold_uncertainty_score":0.6308053},"labels":[],"label_agreement":null},{"id":"W4409786227","doi":"10.61091/jcmcc127a-151","title":"Research on system Dynamics Model of Efficient Urban Sewage Treatment Plant Design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sewage treatment; Environmental science; System dynamics; Dynamics (music); Biochemical engineering; Computer science; Environmental engineering; Engineering; Artificial intelligence; Psychology","score_opus":0.054896613692280966,"score_gpt":0.31451074025035075,"score_spread":0.2596141265580698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409786227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94493556,0.00022917823,0.022233505,0.00044908497,0.010090207,0.0008483994,0.0000063599177,0.000035729467,0.021172004],"genre_scores_gemma":[0.9971828,0.00008419438,0.0022706445,0.0000052788405,0.00035263898,0.0000034164777,0.0000010002302,0.000013711137,0.000086342305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99701893,0.00038859932,0.00085526507,0.00018400884,0.0011907528,0.0003624384],"domain_scores_gemma":[0.9973767,0.0014252529,0.000546254,0.00017786896,0.00032283718,0.00015111263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044633592,0.00019409023,0.0005935646,0.00036783732,0.00062490307,0.000110141846,0.00037042017,0.00016172153,0.0000013324429],"category_scores_gemma":[0.00016951341,0.0001598366,0.00013785316,0.0003812589,0.00022012611,0.000052561718,0.00011623984,0.00029750128,0.0000015650969],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016194291,0.0006840275,0.00006423745,0.00011017366,0.00009944729,0.000009644693,0.0040446655,0.0120881125,0.00003910562,0.9820273,0.00031943893,0.0003519116],"study_design_scores_gemma":[0.0072917365,0.0022636913,0.00011531338,0.0028019743,0.00020734993,0.000010564227,0.021769427,0.542242,0.0013857301,0.42011932,0.0012903613,0.00050258136],"about_ca_topic_score_codex":0.000041860974,"about_ca_topic_score_gemma":0.0000013003782,"teacher_disagreement_score":0.561908,"about_ca_system_score_codex":0.0010901517,"about_ca_system_score_gemma":0.00057168433,"threshold_uncertainty_score":0.6517948},"labels":[],"label_agreement":null},{"id":"W4409787554","doi":"10.61091/jcmcc127a-299","title":"A Data-Driven Computational Analysis of Piano Playing Technique Evolution","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Piano; Computer science; Speech recognition; Acoustics; Physics","score_opus":0.01822340297757746,"score_gpt":0.28079718734494163,"score_spread":0.26257378436736417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787554","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13124335,0.00030230335,0.86275846,0.00023388417,0.0044117006,0.00021251524,0.000007768206,0.00006044352,0.00076955516],"genre_scores_gemma":[0.92000824,0.0000126594605,0.079824865,0.000018572333,0.000120371675,0.0000019050224,0.0000031976074,0.0000061916526,0.000003970336],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99764884,0.00011562521,0.0012090061,0.0002895003,0.00050954556,0.00022746215],"domain_scores_gemma":[0.99652094,0.0009911556,0.001165318,0.00058133394,0.0006790728,0.00006220027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017902306,0.00020806512,0.00095270027,0.00097089563,0.00033164024,0.00011744504,0.0014755349,0.00018422431,0.0000016013423],"category_scores_gemma":[0.0005529364,0.00019049997,0.00018572538,0.0017992564,0.0001526526,0.0003396154,0.0011548683,0.00039956538,3.0678677e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001926745,0.00028614586,0.0010110344,0.00009394776,0.0010682527,0.0000067679684,0.00050269725,0.0004721827,0.00020258599,0.9955115,0.00022567442,0.00059997645],"study_design_scores_gemma":[0.001323027,0.00019543103,0.0014239971,0.00023335163,0.0005653744,0.000020345235,0.00013841462,0.24760996,0.00007446271,0.7479841,0.00026480292,0.00016672806],"about_ca_topic_score_codex":0.000009527678,"about_ca_topic_score_gemma":0.0000012114482,"teacher_disagreement_score":0.7887649,"about_ca_system_score_codex":0.000091059606,"about_ca_system_score_gemma":0.00025353886,"threshold_uncertainty_score":0.77683634},"labels":[],"label_agreement":null},{"id":"W4409787555","doi":"10.61091/jcmcc127a-424","title":"Research on Multidimensional Data Calculation Analysis and Optimization Path of Teachers’ Practical Teaching Cultivation Innovation Mechanisms under Digital Empowerment of Education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Empowerment; Path (computing); Mathematics education; Computer science; Path analysis (statistics); Knowledge management; Sociology; Psychology; Political science; Machine learning","score_opus":0.040332146968665876,"score_gpt":0.3728791770323483,"score_spread":0.3325470300636824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81692183,0.000010041895,0.18065031,0.00034817398,0.0011147002,0.00020527375,0.0000045788574,0.0000045034135,0.00074056035],"genre_scores_gemma":[0.9534395,0.0000059899885,0.04637909,0.00001905123,0.00008379519,0.0000015187848,0.00004886337,0.000007867698,0.000014356862],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976994,0.00011789714,0.0010235065,0.00020771519,0.0008242794,0.00012720567],"domain_scores_gemma":[0.9973211,0.000786737,0.0010065226,0.0002385277,0.0006012676,0.000045817433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030745948,0.00012439195,0.0003245263,0.00058974593,0.00023053649,0.00007640558,0.00016938745,0.00010664688,0.000010273499],"category_scores_gemma":[0.0015812503,0.00010576746,0.00004374261,0.0014429392,0.00011354308,0.00056215166,0.0002795511,0.00035642195,3.1976361e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050906267,0.0013349641,0.0017199347,0.00004359306,0.00015301674,1.8875234e-7,0.0007128003,0.006324418,0.002747012,0.98404336,0.00022582556,0.0026439975],"study_design_scores_gemma":[0.00287851,0.0010205262,0.033582162,0.0007733471,0.0004449008,0.000012035635,0.005995978,0.20610122,0.0025619948,0.7460215,0.00026593503,0.00034191043],"about_ca_topic_score_codex":0.000037460828,"about_ca_topic_score_gemma":4.458344e-7,"teacher_disagreement_score":0.23802187,"about_ca_system_score_codex":0.0001874838,"about_ca_system_score_gemma":0.0002327816,"threshold_uncertainty_score":0.43130717},"labels":[],"label_agreement":null},{"id":"W4409787556","doi":"10.61091/jcmcc127a-361","title":"Optimized calculation of bearing capacity of short columns of steel-tube-concrete hybrid structures combined with genetic algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"West Anhui University; Anhui Provincial Department of Education; Anhui University","keywords":"Genetic algorithm; Bearing capacity; Structural engineering; Tube (container); Algorithm; Materials science; Bearing (navigation); Computer science; Engineering; Composite material; Mathematics; Mathematical optimization; Artificial intelligence","score_opus":0.007317211942678495,"score_gpt":0.21206953484547938,"score_spread":0.20475232290280088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92677325,0.00018532052,0.06791819,0.000005288701,0.0043130293,0.00025852103,0.0000074114296,0.000023491662,0.00051550847],"genre_scores_gemma":[0.9628499,0.000027355965,0.03694449,0.0000015434683,0.00014992894,0.0000015247738,0.0000020162297,0.000021792957,0.0000014601334],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976863,0.00006711398,0.0014400228,0.0001276659,0.00048268028,0.00019618311],"domain_scores_gemma":[0.99781394,0.0002962838,0.00074600504,0.00019969487,0.00086265744,0.00008141435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047214393,0.00023654998,0.00096744276,0.00028487935,0.00007921571,0.000041397234,0.0002056395,0.00013519608,0.0000046733153],"category_scores_gemma":[0.00010783208,0.00021275973,0.00015857523,0.00033551792,0.00016048962,0.00012592746,0.00005787709,0.0003159841,4.7188095e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083724514,0.00029263497,0.0030429058,0.0030535464,0.0018489403,0.000010862771,0.002521412,0.035151836,0.032637663,0.9029142,0.00009533432,0.017593415],"study_design_scores_gemma":[0.015089014,0.0023523795,0.004274376,0.002434205,0.00094910385,0.00013629328,0.0008587395,0.45867464,0.20514552,0.30934048,0.00006896333,0.0006762872],"about_ca_topic_score_codex":0.000026029513,"about_ca_topic_score_gemma":5.1316414e-7,"teacher_disagreement_score":0.59357375,"about_ca_system_score_codex":0.00007715313,"about_ca_system_score_gemma":0.00012741525,"threshold_uncertainty_score":0.867609},"labels":[],"label_agreement":null},{"id":"W4409787557","doi":"10.61091/jcmcc127a-394","title":"Fuzzy logic-based multilevel assessment model for education quality with dynamic learning planning approach","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Computer science; Quality (philosophy); Dynamic assessment; Artificial intelligence; Machine learning; Psychology","score_opus":0.03073043244944188,"score_gpt":0.3607893168750923,"score_spread":0.3300588844256504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.068021454,0.00014545588,0.92600936,0.0006138058,0.0036056605,0.00037335927,7.5379677e-7,0.00006391239,0.0011662559],"genre_scores_gemma":[0.64195406,0.0000024910908,0.35785526,0.000048896898,0.000093503404,0.000014624483,0.0000025892416,0.000009258715,0.000019302144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99800044,0.00011263537,0.00085540826,0.00030714247,0.0004474806,0.00027688048],"domain_scores_gemma":[0.99686295,0.0008792602,0.0010611641,0.00027806326,0.0008258319,0.000092747854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019806817,0.00025024984,0.0005549993,0.0003069789,0.00047621824,0.00025440974,0.0006831224,0.0001671598,2.3297392e-7],"category_scores_gemma":[0.00029057483,0.00021142984,0.00011802669,0.00032287507,0.000072413575,0.0002562496,0.00016988607,0.0005900464,1.2056103e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040680534,0.0011459145,0.00048553984,0.0002735216,0.00007727379,8.2220345e-7,0.00041668414,0.013345349,0.000113158334,0.9805137,0.000056048586,0.003531336],"study_design_scores_gemma":[0.0017029559,0.00024970452,0.00029526965,0.00026158465,0.00003522294,0.0000075322314,0.00032588159,0.48797473,0.000051001654,0.50890607,0.000044729906,0.0001452861],"about_ca_topic_score_codex":0.000002133485,"about_ca_topic_score_gemma":7.691252e-8,"teacher_disagreement_score":0.5739326,"about_ca_system_score_codex":0.00020384428,"about_ca_system_score_gemma":0.001575306,"threshold_uncertainty_score":0.8621859},"labels":[],"label_agreement":null},{"id":"W4409787560","doi":"10.61091/jcmcc127a-422","title":"Random forest algorithm and multi-source data fusion based on the converter valve electrical characteristics of time-varying law extraction method and condition monitoring technology research","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Southern Power Grid","keywords":"Extraction (chemistry); Fusion; Sensor fusion; Random forest; Computer science; Algorithm; Data mining; Artificial intelligence; Chemistry","score_opus":0.022913964741184636,"score_gpt":0.31867057794219816,"score_spread":0.29575661320101354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787560","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22934599,0.0007156913,0.7647407,0.00011728025,0.004305333,0.0005464132,0.000009036199,0.000054196444,0.00016535248],"genre_scores_gemma":[0.9907527,0.00006309772,0.00874668,0.000006422958,0.00039871916,0.0000028628485,0.0000030682634,0.000023082133,0.0000033937024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818,0.00022108668,0.0007602897,0.00018960582,0.00040655132,0.0002424768],"domain_scores_gemma":[0.99589884,0.0029773307,0.00035621502,0.0002801858,0.00041840822,0.000069045986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023651416,0.00019557826,0.00062803476,0.00028357178,0.00031939734,0.00012147328,0.00025702594,0.00019139127,0.0000010751024],"category_scores_gemma":[0.00061074627,0.00015458927,0.000055272056,0.0003265347,0.000118788565,0.00013857358,0.00015207325,0.0007291434,3.7059837e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017380507,0.0018590284,0.00277089,0.0025867142,0.00158064,0.00007871661,0.00230637,0.005199537,0.09849671,0.59111094,0.00035322568,0.2919192],"study_design_scores_gemma":[0.0050407755,0.00028492592,0.00013037077,0.0007137757,0.000107390224,0.00003565039,0.00013781252,0.947655,0.0022087926,0.043305133,0.00023609029,0.00014425459],"about_ca_topic_score_codex":0.0000075151142,"about_ca_topic_score_gemma":1.3169202e-7,"teacher_disagreement_score":0.9424555,"about_ca_system_score_codex":0.00006187704,"about_ca_system_score_gemma":0.00003411915,"threshold_uncertainty_score":0.6303968},"labels":[],"label_agreement":null},{"id":"W4409787561","doi":"10.61091/jcmcc127a-314","title":"Constructing an Equilibrium Optimization Model of Teaching Strategies between English Teachers and Students Based on Game Theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics education; Game theory; Computer science; Sociology; Mathematical economics; Psychology; Mathematics","score_opus":0.020010167769119947,"score_gpt":0.31438720136044956,"score_spread":0.2943770335913296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58635,0.000045110457,0.40951413,0.000103939296,0.0027096947,0.000116792406,0.0000011762013,0.000040568706,0.0011185941],"genre_scores_gemma":[0.93917936,0.0000033562858,0.06050621,0.000022963133,0.00027142928,9.746425e-7,0.0000012358955,0.000010887343,0.000003591502],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998008,0.00026965578,0.00082579866,0.00023333567,0.00045679387,0.00020642408],"domain_scores_gemma":[0.9969096,0.0014397047,0.0008430019,0.00028101806,0.0004322752,0.000094388684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028740724,0.00020847922,0.00054457993,0.0003547282,0.0001798744,0.0003012695,0.0007765435,0.0001938097,6.788355e-7],"category_scores_gemma":[0.0007945618,0.00019714274,0.00007174286,0.00021001272,0.00015189135,0.0005162489,0.000271842,0.0006185966,5.3501644e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002874454,0.00031120717,0.002130538,0.000085558335,0.000064995096,0.0000010930462,0.0028295051,0.013773243,0.00005954068,0.97838664,0.000005784217,0.0023231704],"study_design_scores_gemma":[0.0016391843,0.00040996892,0.00010820335,0.00030813031,0.00005488441,0.000004044728,0.0019394121,0.36570743,0.00024799167,0.6294395,0.0000041179887,0.00013716059],"about_ca_topic_score_codex":0.0000027676183,"about_ca_topic_score_gemma":8.286509e-8,"teacher_disagreement_score":0.35282937,"about_ca_system_score_codex":0.00006160055,"about_ca_system_score_gemma":0.00036202138,"threshold_uncertainty_score":0.80392474},"labels":[],"label_agreement":null},{"id":"W4409787562","doi":"10.61091/jcmcc127a-313","title":"Multidimensional Regression Analysis and Dynamic Adjustment Modeling of Students’ Physical Fitness Data in Physical Education Teaching in Colleges and Universities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Regression analysis; Physical education; Physical fitness; Psychology; Regression; Mathematics education; Statistics; Computer science; Mathematics; Medicine; Physical therapy","score_opus":0.013103797428363092,"score_gpt":0.30168303258335283,"score_spread":0.28857923515498973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99769,0.00015540859,0.00060933613,0.0002767897,0.0009817464,0.00014303843,0.0000014375191,0.000009190304,0.00013301849],"genre_scores_gemma":[0.99892247,0.000020225903,0.00082384417,0.00002030944,0.0001935284,9.547475e-7,0.000008448003,0.000007275029,0.000002973457],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881697,0.000034733603,0.00053702766,0.0001904182,0.00028851957,0.0001323142],"domain_scores_gemma":[0.99884135,0.00029307575,0.00048735764,0.00018379278,0.00018145677,0.000012949425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008450625,0.0001554991,0.0005827663,0.0009981731,0.0001457593,0.00007638699,0.0002763226,0.00007923868,4.0487134e-7],"category_scores_gemma":[0.00015712087,0.00013863835,0.000045449302,0.00077829364,0.00009103736,0.00045788076,0.00071479444,0.00037125222,6.496985e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071298484,0.001725995,0.028041668,0.00034332374,0.00019484965,0.0000042839774,0.0009297979,0.00035036379,0.0002572086,0.9661148,0.000018458626,0.0019479517],"study_design_scores_gemma":[0.0034109908,0.000059427464,0.011566092,0.0011602851,0.00048931735,0.000002739882,0.009607727,0.7056131,0.000020210007,0.26786602,0.000022460024,0.00018165195],"about_ca_topic_score_codex":0.00015040877,"about_ca_topic_score_gemma":0.000016608707,"teacher_disagreement_score":0.7052627,"about_ca_system_score_codex":0.00006044077,"about_ca_system_score_gemma":0.00007993371,"threshold_uncertainty_score":0.56535083},"labels":[],"label_agreement":null},{"id":"W4409787563","doi":"10.61091/jcmcc127a-406","title":"Intelligent Estimation of Construction Project Costs Based on Subtractive Clustering-based Self-Learning Convolutional Neural Network","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Convolutional neural network; Cluster analysis; Artificial intelligence; Estimation; Artificial neural network; Machine learning; Engineering; Systems engineering","score_opus":0.007968778674266588,"score_gpt":0.23875892288614595,"score_spread":0.23079014421187935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5036015,0.00020745618,0.46466437,0.00007771349,0.028231567,0.0005780509,0.0000037234138,0.00018926628,0.0024463444],"genre_scores_gemma":[0.9875299,0.000009281887,0.01201681,0.000012431837,0.00040292105,0.0000037019613,0.0000041743824,0.00001969735,0.0000011055021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982175,0.00011938141,0.0009570016,0.00013570447,0.00036839666,0.00020199022],"domain_scores_gemma":[0.9979674,0.00071621913,0.0006377849,0.0001151281,0.00050268444,0.0000607465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072023796,0.00023350069,0.00048775505,0.00032579343,0.00018848585,0.00009548027,0.00013871377,0.00016939417,0.0000046935265],"category_scores_gemma":[0.00022221667,0.00022692796,0.00014399008,0.000421671,0.00008135226,0.00013497267,0.000028451552,0.0005647712,4.867449e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021206266,0.00020773729,0.000426266,0.00034746353,0.000121453144,0.0000024368292,0.00016473564,0.6473579,0.00011779332,0.34205934,0.00010343729,0.008879374],"study_design_scores_gemma":[0.0021759556,0.00048593566,0.00014375642,0.00074440514,0.00009869727,0.000020636146,0.00018972656,0.96569103,0.0012091822,0.028916907,0.00015533567,0.00016841908],"about_ca_topic_score_codex":0.00000552392,"about_ca_topic_score_gemma":7.50514e-7,"teacher_disagreement_score":0.48392838,"about_ca_system_score_codex":0.00021226678,"about_ca_system_score_gemma":0.00021570518,"threshold_uncertainty_score":0.9253854},"labels":[],"label_agreement":null},{"id":"W4409787564","doi":"10.61091/jcmcc127a-401","title":"A study on optimizing deep learning models for creative generation of animated new media advertisements: an application based on improved generative adversarial networks (GANs) and variational autocoders (VAEs)","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Generative grammar; Adversarial system; Computer science; Artificial intelligence; Deep learning; Generative adversarial network; Generative model; Machine learning; Multimedia","score_opus":0.0424589621275114,"score_gpt":0.3377650313920022,"score_spread":0.2953060692644908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.122087054,0.000041868458,0.87437314,0.00014181968,0.0021570642,0.00090940564,0.0000018776303,0.000022324757,0.0002654309],"genre_scores_gemma":[0.95646757,0.000009656483,0.042316116,0.000033193075,0.00112585,0.000014497638,0.000012559525,0.000015928304,0.00000459864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99740803,0.00056768017,0.0009203327,0.00028914775,0.0006051946,0.00020961586],"domain_scores_gemma":[0.9955623,0.0021894206,0.0010839676,0.00011174216,0.0009068326,0.00014569996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028409297,0.00022337362,0.0006019957,0.00029546436,0.0006985872,0.00018229126,0.00020453412,0.00014664611,0.0000028144323],"category_scores_gemma":[0.0011172658,0.00021255219,0.00012377289,0.0004218851,0.00007473101,0.00026481517,0.000053110765,0.00028020501,5.3117883e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005408499,0.0010338773,0.0001587036,0.000026298963,0.00026008004,8.8188443e-7,0.012128051,0.31327012,0.00029830905,0.66369474,0.000016500004,0.0085715735],"study_design_scores_gemma":[0.0050385953,0.0012092561,0.00023767892,0.00009275465,0.00021800215,2.9410302e-7,0.0029625765,0.81707835,0.00008580759,0.17291655,0.000014088495,0.00014604485],"about_ca_topic_score_codex":0.00010445479,"about_ca_topic_score_gemma":0.000013816767,"teacher_disagreement_score":0.83438057,"about_ca_system_score_codex":0.00015773374,"about_ca_system_score_gemma":0.00041404457,"threshold_uncertainty_score":0.86676264},"labels":[],"label_agreement":null},{"id":"W4409787565","doi":"10.61091/jcmcc127a-269","title":"Multiscale processing of image gradient domain-based convolutional neural networks for visual feature enhancement","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Feature (linguistics); Computer science; Artificial intelligence; Image (mathematics); Pattern recognition (psychology); Domain (mathematical analysis); Image enhancement; Computer vision; Mathematics","score_opus":0.00670934210747141,"score_gpt":0.2642149744258086,"score_spread":0.2575056323183372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787565","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14111875,0.0007842599,0.8542028,0.00013535698,0.0031392574,0.0003885648,0.0000032614425,0.00006252068,0.0001652449],"genre_scores_gemma":[0.91341996,0.000009826276,0.086135454,0.000015257689,0.0003750467,0.000013005201,0.0000037497055,0.00002389577,0.0000037891482],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857986,0.000022091703,0.000760781,0.00013364381,0.0002553194,0.00024832482],"domain_scores_gemma":[0.99847513,0.0002765792,0.00047218046,0.00011204194,0.0005915056,0.00007255131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059595396,0.00021319324,0.00050525955,0.00015115335,0.0002148264,0.00011216057,0.00022971172,0.00012911469,0.0000012634873],"category_scores_gemma":[0.00007412521,0.00019983675,0.00015002208,0.00026549402,0.00009702757,0.000103275415,0.000059521062,0.00030340857,6.320137e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060713215,0.0033680354,0.0002519449,0.00837275,0.0005221545,0.000012431234,0.0013823601,0.018851098,0.04602204,0.8688015,0.0057583363,0.04605024],"study_design_scores_gemma":[0.002827605,0.0002753434,0.000028118766,0.0006480736,0.00009142609,0.000007933847,0.0000784359,0.8547591,0.0096983835,0.13087694,0.0005151558,0.00019348954],"about_ca_topic_score_codex":8.9920803e-7,"about_ca_topic_score_gemma":8.608577e-8,"teacher_disagreement_score":0.835908,"about_ca_system_score_codex":0.000088852474,"about_ca_system_score_gemma":0.000088843335,"threshold_uncertainty_score":0.81491065},"labels":[],"label_agreement":null},{"id":"W4409787566","doi":"10.61091/jcmcc127a-358","title":"The Impact of Blockchain-Based Shareholder Voting System on Corporate Governance","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Corporate governance; Voting; Business; Shareholder; Accounting; Computer security; Computer science; Political science; Finance; Law","score_opus":0.016764529382157414,"score_gpt":0.23956768955606947,"score_spread":0.22280316017391205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825775,0.00025272518,0.001356969,0.00016749838,0.009665287,0.00034734135,0.0000039167035,0.00005560459,0.0055731335],"genre_scores_gemma":[0.99861723,0.0000026105756,0.00015792316,0.00003308046,0.00113365,0.0000022853671,7.56224e-7,0.000035262,0.000017177746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99735105,0.000032004038,0.0013571916,0.00022657086,0.0006434704,0.00038971155],"domain_scores_gemma":[0.99381113,0.0009727322,0.003943523,0.0002772071,0.00096338236,0.000032031836],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001865982,0.00035332952,0.0007835214,0.00024375579,0.0004827475,0.0006187801,0.00066846097,0.00013157113,0.0000025997467],"category_scores_gemma":[0.0012453696,0.00025130602,0.00035703726,0.00082656706,0.00013767977,0.000178549,0.00026855138,0.00047469008,0.000004043157],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023121278,0.00030463754,0.0015386362,0.00061277405,0.000120301,0.000016072849,0.00003140348,0.0013185969,0.00015460837,0.9933897,0.0008771935,0.001404837],"study_design_scores_gemma":[0.013043626,0.0011220813,0.007048831,0.012299167,0.00034126334,0.00003805642,0.00055830955,0.3866783,0.0019608699,0.57429594,0.0015785979,0.0010349717],"about_ca_topic_score_codex":0.000055842396,"about_ca_topic_score_gemma":8.826109e-7,"teacher_disagreement_score":0.41909382,"about_ca_system_score_codex":0.00023036764,"about_ca_system_score_gemma":0.00019405439,"threshold_uncertainty_score":0.9999939},"labels":[],"label_agreement":null},{"id":"W4409787570","doi":"10.61091/jcmcc127a-279","title":"Research on Multi-Objective Planning and Constraints of Cross-border Compound Music Talent Cultivation Mode in Higher Vocational Colleges Driven by Quality Improvement and Excellence Training","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Excellence; Mode (computer interface); Quality (philosophy); Training (meteorology); Engineering management; Business; Medical education; Management; Engineering; Sociology; Psychology; Pedagogy; Political science; Computer science; Geography; Medicine; Economics","score_opus":0.06635155089975925,"score_gpt":0.4171607291746161,"score_spread":0.35080917827485686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957046,0.00006680054,0.000622206,0.0002140557,0.0012879358,0.0002725818,0.000006795397,0.0000039198717,0.0018211361],"genre_scores_gemma":[0.9981507,0.000013882559,0.0016723884,0.000026868927,0.00008331605,0.0000055268893,0.000002426778,0.000007767195,0.000037103262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980918,0.00009177398,0.00084009155,0.00021187952,0.0005646955,0.00019976454],"domain_scores_gemma":[0.99807054,0.00095965655,0.0005179928,0.000092290626,0.00028958044,0.00006993096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017986137,0.00014485311,0.00035515914,0.0001814367,0.00028931172,0.00009752432,0.00012661498,0.00009438326,0.000022536173],"category_scores_gemma":[0.00033948204,0.00012738166,0.000030643132,0.00040480102,0.00050844497,0.00021196507,0.00017202806,0.00037904116,2.43035e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023706844,0.0022408208,0.03707909,0.00032396443,0.0001253302,0.0000036175318,0.011528077,0.0011510928,0.01957286,0.9169771,0.00030158611,0.010459361],"study_design_scores_gemma":[0.015671419,0.0018147624,0.45874634,0.002357932,0.00005025824,0.000021394148,0.018514877,0.016279364,0.0042531444,0.4810332,0.0005734746,0.000683818],"about_ca_topic_score_codex":0.000071641145,"about_ca_topic_score_gemma":0.0000021063313,"teacher_disagreement_score":0.43594393,"about_ca_system_score_codex":0.00020850389,"about_ca_system_score_gemma":0.00011114385,"threshold_uncertainty_score":0.5194473},"labels":[],"label_agreement":null},{"id":"W4409787571","doi":"10.61091/jcmcc127a-331","title":"A Financial Performance Optimization Model Based on Group Intelligence Algorithm and Its Effectiveness Evaluation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Group (periodic table); Computer science; Optimization algorithm; Finance; Algorithm; Artificial intelligence; Mathematical optimization; Mathematics; Economics","score_opus":0.0159220104509846,"score_gpt":0.2541111839953098,"score_spread":0.2381891735443252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5130205,0.00025217605,0.47780773,0.00016432705,0.006576732,0.0006305223,8.182913e-7,0.00007970514,0.0014674524],"genre_scores_gemma":[0.992636,0.00002638655,0.0066719344,0.00007707759,0.00056347554,0.000006459887,0.0000018793185,0.00001534115,0.0000014150355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985115,0.00003342432,0.00056935725,0.00019893351,0.00048929546,0.00019747646],"domain_scores_gemma":[0.99819535,0.00032211829,0.00061340036,0.00012820213,0.00072563754,0.000015320667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021727104,0.00022141085,0.00043691398,0.00043160687,0.00033520255,0.00027555187,0.00024750488,0.00015873744,0.0000026824403],"category_scores_gemma":[0.00093098596,0.00019730818,0.00007038464,0.00045208717,0.000052526317,0.00048015476,0.00018439678,0.0003163297,9.484509e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015996661,0.0003528937,0.0001801889,0.0006412719,0.000026557176,0.0000025147122,0.000045730136,0.118702166,0.000034352604,0.8486178,0.00003646892,0.031200117],"study_design_scores_gemma":[0.0014557897,0.00012812966,0.00012944995,0.0006040179,0.000090186775,0.0000016543963,0.000036691592,0.7174604,0.0001185191,0.27981597,0.000026493006,0.00013267504],"about_ca_topic_score_codex":0.0000027838869,"about_ca_topic_score_gemma":9.523899e-8,"teacher_disagreement_score":0.5987582,"about_ca_system_score_codex":0.000076115466,"about_ca_system_score_gemma":0.000097157266,"threshold_uncertainty_score":0.80459946},"labels":[],"label_agreement":null},{"id":"W4409787572","doi":"10.61091/jcmcc127a-296","title":"Spatio-temporal Evolution and Influence Mechanism of Rural Tourism Flows Based on Network Data Mining","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Tourism; Economic geography; Data mining; Data science; Geography; Computer science","score_opus":0.014370041218011113,"score_gpt":0.24450210198431607,"score_spread":0.23013206076630496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815278,0.00010092639,0.010500064,0.0008357709,0.0057907,0.0002272128,0.000002101596,0.000044480406,0.0009709627],"genre_scores_gemma":[0.9945199,0.0000051422344,0.004169994,0.00016302938,0.0011107505,0.0000013502832,0.000010518145,0.00001686518,0.0000024386254],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981943,0.000027419032,0.0009910555,0.00016891147,0.0003758261,0.00024253054],"domain_scores_gemma":[0.9973115,0.00040495532,0.0012522255,0.00038310312,0.00062787905,0.00002035398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016063907,0.00022178915,0.0005631111,0.00046818604,0.00032768975,0.00019719702,0.00053629006,0.00018203606,0.000003599367],"category_scores_gemma":[0.00073089276,0.0002076822,0.00006277223,0.00076015777,0.00010927845,0.00055975653,0.0005210874,0.00038225294,8.150629e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007719688,0.00021734227,0.005506242,0.00024168096,0.000061201594,0.0000052291907,0.00004104043,0.0002453248,0.00007162448,0.99183786,0.00075820833,0.0009370771],"study_design_scores_gemma":[0.0033217154,0.00017980984,0.0011515538,0.0013584328,0.00019004014,0.000006236446,0.00054978195,0.14077538,0.00005244053,0.8515147,0.0006659686,0.00023394145],"about_ca_topic_score_codex":0.00008196136,"about_ca_topic_score_gemma":0.000005098829,"teacher_disagreement_score":0.14053005,"about_ca_system_score_codex":0.000037852533,"about_ca_system_score_gemma":0.00011368338,"threshold_uncertainty_score":0.84690344},"labels":[],"label_agreement":null},{"id":"W4409787574","doi":"10.61091/jcmcc127a-364","title":"Improved Web Page Categorization with Semantic-Aware Focused Crawling Using GloVe and TF-IDF","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Categorization; Computer science; Information retrieval; Crawling; World Wide Web; Natural language processing; Artificial intelligence; Medicine","score_opus":0.01147456424054291,"score_gpt":0.24480942934840252,"score_spread":0.2333348651078596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5022496,0.00023811172,0.49308625,0.00018678412,0.003882667,0.00016345331,0.0000017014868,0.000051841966,0.00013960213],"genre_scores_gemma":[0.96870434,0.000030706455,0.030792952,0.00003007331,0.00041150322,7.6085786e-7,0.0000013747741,0.00002045275,0.000007851473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977155,0.00012113716,0.00096030324,0.00035876426,0.000493379,0.00035094962],"domain_scores_gemma":[0.9973268,0.00049132045,0.0010130102,0.00038662984,0.0006158198,0.00016645665],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013365309,0.00031956666,0.000794627,0.00039336696,0.00044716935,0.0008458564,0.00062116596,0.00014886528,0.0000010889299],"category_scores_gemma":[0.00026802678,0.00026407928,0.00011067719,0.00084011676,0.000083486564,0.0005728976,0.0004677301,0.000407732,3.3143962e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013897828,0.00071869325,0.0016319207,0.0007531205,0.00073812495,0.00009526877,0.0026568111,0.0002474269,0.018529596,0.9658837,0.000104257124,0.008502103],"study_design_scores_gemma":[0.005466457,0.00059206056,0.00006076202,0.000974331,0.00035177593,0.00011253055,0.00046332707,0.85265845,0.0025365169,0.13622469,0.00011279173,0.00044631131],"about_ca_topic_score_codex":0.000028942592,"about_ca_topic_score_gemma":0.0000016436411,"teacher_disagreement_score":0.85241103,"about_ca_system_score_codex":0.000082995786,"about_ca_system_score_gemma":0.0003501825,"threshold_uncertainty_score":0.99998116},"labels":[],"label_agreement":null},{"id":"W4409787578","doi":"10.61091/jcmcc127a-408","title":"A Fault Diagnosis Method for Wind Turbine Gearbox under High Noise Based on Adaptive Probability Random Forest","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hunan University; National Natural Science Foundation of China","keywords":"Turbine; Random forest; Noise (video); Fault (geology); Environmental science; Random noise; Wind power; Computer science; Engineering; Artificial intelligence; Algorithm; Geology; Seismology; Aerospace engineering; Electrical engineering","score_opus":0.012486795145263017,"score_gpt":0.28333324197749854,"score_spread":0.2708464468322355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787578","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3310569,0.00025298423,0.65153277,0.00067343144,0.013220315,0.002267241,0.000023445367,0.0003104171,0.00066249113],"genre_scores_gemma":[0.92725277,0.000022950837,0.07182968,0.00008519733,0.0006849891,0.000055480326,0.0000034495856,0.000062705105,0.0000027592328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99727046,0.0001707081,0.0013034432,0.0003008534,0.0005397545,0.00041478578],"domain_scores_gemma":[0.99343026,0.0048823524,0.00053107203,0.000364389,0.00062136137,0.00017059185],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023525048,0.0004727411,0.0012122621,0.00038354166,0.00021800358,0.00018449234,0.00045053542,0.0002840595,0.0000050797066],"category_scores_gemma":[0.0012764824,0.00038256013,0.00034633055,0.00042173886,0.00006702794,0.000121918834,0.000112300506,0.0006488406,5.477602e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011127557,0.0021314535,0.0007424698,0.0014632627,0.00053844653,0.00001351615,0.00035949575,0.089039296,0.00031203585,0.89488816,0.00244016,0.0069589186],"study_design_scores_gemma":[0.009386385,0.0009496287,0.0002882842,0.0008684536,0.0002134754,0.000004777617,0.00003606966,0.35038698,0.0029627916,0.6340807,0.0005015325,0.00032093015],"about_ca_topic_score_codex":0.000026220376,"about_ca_topic_score_gemma":0.000002554354,"teacher_disagreement_score":0.5961959,"about_ca_system_score_codex":0.00027298808,"about_ca_system_score_gemma":0.00013580988,"threshold_uncertainty_score":0.9998626},"labels":[],"label_agreement":null},{"id":"W4409787579","doi":"10.61091/jcmcc127a-325","title":"Optimization Research of Enterprise Supply Chain Demand Forecasting and Inventory Cost Control Based on Machine Learning Models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Demand forecasting; Supply chain; Inventory control; Control (management); Computer science; Supply chain optimization; Operations research; Industrial engineering; Supply chain management; Business; Artificial intelligence; Engineering; Marketing","score_opus":0.03992813757604711,"score_gpt":0.2886257807869422,"score_spread":0.24869764321089508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787579","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1065182,0.0007243064,0.8868869,0.000118960554,0.0032903596,0.0006020547,0.0000041622134,0.000053407715,0.001801642],"genre_scores_gemma":[0.99289286,0.000105188104,0.006781702,0.000019394072,0.00015810865,0.0000039606334,0.000003121554,0.000029593974,0.000006059288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977878,0.00027212175,0.0009473255,0.00014678044,0.00060760026,0.0002384033],"domain_scores_gemma":[0.997434,0.0011594106,0.00039530295,0.00013138987,0.0007625541,0.00011733899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003485976,0.00019834728,0.0005433735,0.00055910245,0.00023400866,0.00012533521,0.00017262927,0.00013776952,0.0000062061736],"category_scores_gemma":[0.0007171251,0.00019277776,0.000080528895,0.00037064674,0.00007754014,0.00017066597,0.00006721456,0.0005649365,1.5242173e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110760724,0.00013607273,0.00034501712,0.00029502605,0.000056890316,0.0000025050856,0.00051460887,0.92105937,0.000057525853,0.076742426,0.00004861865,0.000631168],"study_design_scores_gemma":[0.0052734343,0.0003097521,0.000009109794,0.0008003033,0.000054385528,0.00000469991,0.000120866534,0.93560743,0.00017915343,0.05748389,0.000029514329,0.0001274755],"about_ca_topic_score_codex":0.0000031399213,"about_ca_topic_score_gemma":2.493376e-7,"teacher_disagreement_score":0.88637465,"about_ca_system_score_codex":0.00010090935,"about_ca_system_score_gemma":0.00010347903,"threshold_uncertainty_score":0.7861249},"labels":[],"label_agreement":null},{"id":"W4409787580","doi":"10.61091/jcmcc127a-366","title":"Enterprise cost accounting and control based on job costing method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Activity-based costing; Cost accounting; Management accounting; Accounting; Job costing; Control (management); Business; Operations management; Computer science; Product cost management; Economics; Management; Cost engineering","score_opus":0.0075410952709903485,"score_gpt":0.24288538321268202,"score_spread":0.23534428794169168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5557802,0.00043608,0.38229015,0.003814126,0.031480514,0.0017055939,0.0000044779144,0.0002782231,0.024210697],"genre_scores_gemma":[0.9923982,0.000005809319,0.003939549,0.0013567918,0.0022440352,0.0000031233417,0.0000017499752,0.000039287326,0.0000114347295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976302,0.00004949524,0.0010449084,0.00029455926,0.00063223555,0.0003486108],"domain_scores_gemma":[0.9964032,0.0012488146,0.0012707978,0.00020723524,0.0008296689,0.000040275172],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028739304,0.0003419347,0.00071153004,0.0006224201,0.000551113,0.0009978159,0.00037594922,0.00013429824,0.000011178908],"category_scores_gemma":[0.001872838,0.00031074847,0.00012627621,0.00063780166,0.00006564306,0.0004940257,0.00030097103,0.0004524479,0.0000048626434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023590028,0.00046331988,0.017611347,0.00085311814,0.00016805905,0.00002387958,0.0000949338,0.0008079398,0.0001721456,0.9708593,0.0012349687,0.0074750897],"study_design_scores_gemma":[0.017593589,0.00023720943,0.006663156,0.0028002572,0.0008258964,0.000022254257,0.00066207355,0.47712713,0.00015805346,0.48074284,0.0123020895,0.0008654476],"about_ca_topic_score_codex":0.00002576264,"about_ca_topic_score_gemma":5.068438e-7,"teacher_disagreement_score":0.49011645,"about_ca_system_score_codex":0.000081993436,"about_ca_system_score_gemma":0.00008023101,"threshold_uncertainty_score":0.99993443},"labels":[],"label_agreement":null},{"id":"W4409787581","doi":"10.61091/jcmcc127a-403","title":"Reforming and innovating music education in universities from a psychological perspective based on interactive technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Psychology; Engineering ethics; Sociology; Knowledge management; Engineering; Computer science; Artificial intelligence","score_opus":0.014875412385764465,"score_gpt":0.324042063159728,"score_spread":0.30916665077396355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792032,0.00018497251,0.010943187,0.0017326587,0.0055862283,0.00012766304,5.2334576e-7,0.00003710421,0.00218444],"genre_scores_gemma":[0.982762,0.000007064035,0.016909195,0.0001405268,0.0001675229,0.0000017509358,4.4263993e-7,0.0000053287717,0.0000061810433],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99880725,0.00008026359,0.00050773873,0.00024992373,0.00018752561,0.00016732403],"domain_scores_gemma":[0.99789673,0.0008851517,0.0004925945,0.00020525712,0.00048073416,0.000039518523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059772446,0.00016256733,0.00037786533,0.0009549903,0.00017345352,0.00008363832,0.00046140802,0.00020918882,0.0000019127417],"category_scores_gemma":[0.00045018567,0.00015037526,0.00004151824,0.0008242965,0.00011690123,0.00023965782,0.00023142165,0.0006799869,4.0745945e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050362996,0.000546973,0.0010852684,0.000019408693,0.000024778947,0.000007487483,0.0014493571,0.000010020483,0.0001481856,0.98685676,0.000023007085,0.009778371],"study_design_scores_gemma":[0.0017729205,0.00049210375,0.0019497538,0.0006654714,0.000015387273,0.000023320525,0.008460869,0.008200834,0.00033078218,0.97787774,0.00006731889,0.0001435187],"about_ca_topic_score_codex":0.000032791828,"about_ca_topic_score_gemma":0.0000013379481,"teacher_disagreement_score":0.009634852,"about_ca_system_score_codex":0.00027040398,"about_ca_system_score_gemma":0.00055862486,"threshold_uncertainty_score":0.6132125},"labels":[],"label_agreement":null},{"id":"W4409787582","doi":"10.61091/jcmcc127a-327","title":"Theory and practice of AI-based interactivity enhancement strategies in digital media","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interactivity; Digital media; Computer science; Multimedia; World Wide Web","score_opus":0.01802215816487988,"score_gpt":0.3617056516492808,"score_spread":0.3436834934844009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9450577,0.00025317888,0.02827197,0.0013182709,0.00809297,0.00034908153,0.000002330396,0.000019735951,0.01663477],"genre_scores_gemma":[0.996132,0.000021516918,0.0034856389,0.000049457034,0.00029711003,0.0000017248423,6.0875004e-7,0.000007121264,0.0000047887597],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980968,0.00034013457,0.00078236044,0.00012249486,0.0004839152,0.00017427545],"domain_scores_gemma":[0.99035937,0.007571801,0.00082601444,0.00009490242,0.001094115,0.000053822157],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0057613146,0.00013501225,0.00042610805,0.0002941806,0.00015664013,0.00024382956,0.00021981713,0.000102114216,0.000004962007],"category_scores_gemma":[0.00887899,0.00012788974,0.0000527128,0.00045108286,0.00029257167,0.00068756007,0.00009924282,0.00039449666,1.5259435e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021754125,0.0006706409,0.00031272625,0.000081393446,0.00003904816,0.000003172034,0.007174913,0.0000020224625,0.0002955588,0.98937607,0.000070615766,0.001756295],"study_design_scores_gemma":[0.0011419369,0.00020760925,0.00017683118,0.00058340887,0.000029058285,0.00000289707,0.011133533,0.00007466758,0.0016211614,0.98395294,0.0009665488,0.00010937988],"about_ca_topic_score_codex":0.00004059968,"about_ca_topic_score_gemma":0.0000025047873,"teacher_disagreement_score":0.05107434,"about_ca_system_score_codex":0.00013895982,"about_ca_system_score_gemma":0.0008561184,"threshold_uncertainty_score":0.99946964},"labels":[],"label_agreement":null},{"id":"W4409787583","doi":"10.61091/jcmcc127a-374","title":"Characterization of soil composition and calculation of genetic mechanism in the landslide zone of Liujiabao landslide in Three Gorges reservoir area","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Three gorges; Landslide; Geology; Characterization (materials science); Mechanism (biology); Geotechnical engineering; Composition (language); Geomorphology; Materials science","score_opus":0.007797445504880274,"score_gpt":0.22143332954171696,"score_spread":0.2136358840368367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944901,0.00007670981,0.0041170064,0.00009652703,0.0008313634,0.00021048474,0.0000021167655,0.0000025911845,0.00017308399],"genre_scores_gemma":[0.9990313,0.00008636502,0.0008119075,0.0000061939445,0.00005211587,0.0000010552849,0.000002357012,0.000007079918,0.0000016188951],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982551,0.00011144617,0.0010075162,0.00011195088,0.0003822547,0.0001317283],"domain_scores_gemma":[0.99859595,0.00030684093,0.0008554919,0.00013034954,0.00008048198,0.0000308974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012350406,0.0001270208,0.00049514923,0.00016027801,0.00005559381,0.000024593906,0.0001954427,0.00012614575,0.0000038983762],"category_scores_gemma":[0.00008544262,0.00009098292,0.00006265802,0.0003806964,0.00008022413,0.00010207321,0.00013738984,0.00022084513,9.518882e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010868681,0.002991758,0.27082363,0.0016656626,0.00024352859,0.00004655256,0.013376274,0.005756457,0.28512412,0.4141389,0.000036237692,0.0047100172],"study_design_scores_gemma":[0.012698361,0.0013563238,0.26397556,0.0032723206,0.00026824762,0.00006998659,0.0008109919,0.05869032,0.03495254,0.6234469,0.00005227178,0.00040618412],"about_ca_topic_score_codex":0.00010488705,"about_ca_topic_score_gemma":0.000018933802,"teacher_disagreement_score":0.25017157,"about_ca_system_score_codex":0.00004270341,"about_ca_system_score_gemma":0.000030231236,"threshold_uncertainty_score":0.37101758},"labels":[],"label_agreement":null},{"id":"W4409787584","doi":"10.61091/jcmcc127a-267","title":"Automated Classification and Change Detection of Remote Sensing Images Based on Convolutional Neural Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Convolutional neural network; Change detection; Computer science; Artificial intelligence; Pattern recognition (psychology); Remote sensing; Geography","score_opus":0.018683186807937794,"score_gpt":0.24173013918585856,"score_spread":0.22304695237792077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717586,0.00047571128,0.01838561,0.00018572781,0.008507458,0.00018982695,0.0000028955803,0.00005237152,0.00044180852],"genre_scores_gemma":[0.9969515,0.000032913093,0.002557914,0.000042232325,0.00040538906,1.3110518e-8,0.0000034113891,0.0000052220116,0.0000013608585],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862456,0.000133943,0.00060817745,0.00014704948,0.00030821853,0.00017805213],"domain_scores_gemma":[0.99820805,0.00069019187,0.00062544685,0.00011655383,0.0002868146,0.00007297081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088286196,0.000162649,0.00040723427,0.0002209582,0.00022227685,0.000100998994,0.00009244605,0.00012726127,0.0000018434743],"category_scores_gemma":[0.0002427575,0.00013423206,0.000076671124,0.000290409,0.00008951046,0.00010146319,0.000017341776,0.00028551507,2.399093e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014122801,0.00033729794,0.0065659718,0.00078801654,0.00025154313,0.000050301493,0.0009984063,0.01046476,0.0015468836,0.016335754,0.00014500419,0.9611038],"study_design_scores_gemma":[0.0016572361,0.00040405072,0.02466643,0.00036776377,0.000059514725,0.000031213967,0.00007537084,0.95490044,0.00018955853,0.01748429,0.00005057824,0.00011354454],"about_ca_topic_score_codex":0.00012369048,"about_ca_topic_score_gemma":0.0000034398354,"teacher_disagreement_score":0.96099025,"about_ca_system_score_codex":0.000013861524,"about_ca_system_score_gemma":0.00004648237,"threshold_uncertainty_score":0.5473825},"labels":[],"label_agreement":null},{"id":"W4409787585","doi":"10.61091/jcmcc127a-277","title":"Research on the multi-objective operation efficiency improvement path of enterprises based on reinforcement learning algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digitalization and Economic Development in Agriculture","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Path (computing); Computer science; Reinforcement; Artificial intelligence; Algorithm; Engineering; Structural engineering","score_opus":0.01803476523976892,"score_gpt":0.2631362110212804,"score_spread":0.24510144578151144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7761728,0.00008895379,0.11942122,0.0017626144,0.028897468,0.0024356782,0.0000027697226,0.00010061172,0.07111788],"genre_scores_gemma":[0.99876016,0.000006728512,0.00046196394,0.00021796963,0.00048158492,0.0000052410387,0.0000037135342,0.000011875384,0.000050771112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813664,0.000048989485,0.00082554674,0.0001719228,0.0005955364,0.00022138548],"domain_scores_gemma":[0.99769753,0.00058326195,0.0007804084,0.00014234503,0.0007763164,0.000020151394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026050985,0.00018565776,0.00035393517,0.00038856667,0.00045233621,0.00047863642,0.00033026427,0.00007677814,0.000016165935],"category_scores_gemma":[0.00059035566,0.00012312725,0.00010142035,0.00046999144,0.00006297265,0.00023169778,0.00019240535,0.0003993957,0.0000052608852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011776162,0.0011128315,0.00032778017,0.00023119079,0.0000897671,0.0000030179785,0.0003772291,0.01144203,0.00013047228,0.9809816,0.0013425302,0.0038438041],"study_design_scores_gemma":[0.009326985,0.0013960567,0.0005648524,0.0027494926,0.00010665339,0.0000020528314,0.0061506424,0.8585107,0.0022882218,0.11102017,0.007373713,0.00051047833],"about_ca_topic_score_codex":0.000010646775,"about_ca_topic_score_gemma":1.8553659e-7,"teacher_disagreement_score":0.86996144,"about_ca_system_score_codex":0.000117890115,"about_ca_system_score_gemma":0.00010121107,"threshold_uncertainty_score":0.5020984},"labels":[],"label_agreement":null},{"id":"W4409787586","doi":"10.61091/jcmcc127a-354","title":"An Innovative Sentiment Computing Analysis of the Pedagogical Value of Intelligent Content Distribution Platforms for Journalism and Communication Studies","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sentiment analysis; Journalism; Value (mathematics); Computer science; Content (measure theory); Content analysis; Data science; Multimedia; Artificial intelligence; Sociology; Mathematics; Media studies; Social science; Machine learning","score_opus":0.08621366929227343,"score_gpt":0.38697018275934036,"score_spread":0.30075651346706694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8145469,0.0008138614,0.18123922,0.00055292156,0.002581058,0.0002366342,0.0000048970523,0.000009552717,0.0000149884045],"genre_scores_gemma":[0.98885196,0.000105598614,0.010923265,0.000027227168,0.00007905897,0.0000017911694,0.0000037323343,0.0000046354608,0.0000027075541],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978056,0.00013400156,0.0013585009,0.00016843727,0.00036929979,0.00016418875],"domain_scores_gemma":[0.99413407,0.0015807451,0.001889841,0.0003621826,0.0019819913,0.000051162257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026423624,0.00017092255,0.0007898728,0.00030092365,0.00034350355,0.00007264286,0.000790235,0.0001269684,4.0213155e-7],"category_scores_gemma":[0.00075650983,0.00012057813,0.00017954734,0.001114873,0.00026046784,0.00019415127,0.00047212144,0.00033089137,2.168092e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038332568,0.00044307142,0.0019231106,0.00012422107,0.0010039434,2.906891e-7,0.005758414,0.00025964575,0.00041682707,0.98816663,0.000023113658,0.0018424247],"study_design_scores_gemma":[0.001914707,0.0006412047,0.007221496,0.0006608523,0.0006837249,0.00001782313,0.0051487205,0.069983296,0.006624318,0.9068269,0.00010419102,0.00017274443],"about_ca_topic_score_codex":0.000008752667,"about_ca_topic_score_gemma":6.717408e-7,"teacher_disagreement_score":0.17430511,"about_ca_system_score_codex":0.0000871917,"about_ca_system_score_gemma":0.00018305994,"threshold_uncertainty_score":0.49170336},"labels":[],"label_agreement":null},{"id":"W4409787587","doi":"10.61091/jcmcc127a-276","title":"Research on Content innovation path design of ideological and political education in network environment based on artificial intelligence reinforcement learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ideology; Reinforcement; Reinforcement learning; Path (computing); Politics; Computer science; Artificial intelligence; Engineering; Political science","score_opus":0.10715761481457083,"score_gpt":0.38320304919086445,"score_spread":0.27604543437629364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92345804,0.0000997698,0.05931618,0.0036421397,0.0059009795,0.00084120175,3.1317583e-7,0.000015775,0.006725588],"genre_scores_gemma":[0.9975798,0.000021281807,0.001666481,0.00011903619,0.00058688776,0.000004701465,8.606395e-7,0.0000049672612,0.00001599816],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99704045,0.0007818913,0.0009769216,0.00016238845,0.000658738,0.00037963176],"domain_scores_gemma":[0.9954598,0.003498967,0.00037341425,0.00009061909,0.00046343554,0.00011378243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006322793,0.00012465657,0.00036735678,0.0003465177,0.00033946452,0.00008099107,0.00016710587,0.00017465586,0.000011906992],"category_scores_gemma":[0.003287923,0.00010449491,0.000041605654,0.000545023,0.00034161055,0.00005882886,0.0000731174,0.000640997,0.0000010574979],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021228456,0.00073762215,0.0005002832,0.000046154895,0.000008326888,0.0000014036954,0.00047033632,0.005756385,0.000031651336,0.98794794,0.000033033524,0.004254573],"study_design_scores_gemma":[0.00044094992,0.0015554806,0.00079382356,0.00058536546,0.000014442446,6.807335e-7,0.0028320546,0.015867643,0.00022200825,0.9774087,0.00018015361,0.00009871063],"about_ca_topic_score_codex":0.00009468977,"about_ca_topic_score_gemma":5.663785e-7,"teacher_disagreement_score":0.074121736,"about_ca_system_score_codex":0.00026397634,"about_ca_system_score_gemma":0.00062003225,"threshold_uncertainty_score":0.42611787},"labels":[],"label_agreement":null},{"id":"W4409787588","doi":"10.61091/jcmcc127a-410","title":"Research on Integrated Process Planning and Scheduling Based on Interval Theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scheduling (production processes); Computer science; Process (computing); Interval (graph theory); Process management; Mathematical optimization; Mathematics; Engineering","score_opus":0.020915519718487336,"score_gpt":0.30623129830096496,"score_spread":0.28531577858247764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92602247,0.00041583602,0.060319025,0.00008280968,0.007347933,0.00025369856,0.0000011495697,0.00009964853,0.0054574003],"genre_scores_gemma":[0.997766,0.000013759032,0.0018346952,0.000025582669,0.00032192038,0.0000023986968,9.662801e-7,0.000029267063,0.0000053860367],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983841,0.00011456576,0.0006032707,0.00016761672,0.00046458122,0.00026582048],"domain_scores_gemma":[0.9979519,0.0012144366,0.00019228198,0.00013838489,0.00040332394,0.00009962362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022977414,0.00022373036,0.00044418924,0.00054297264,0.00023543683,0.0002691496,0.00023620862,0.00015294684,0.0000037400862],"category_scores_gemma":[0.0004766328,0.0001895899,0.000057070938,0.00038258935,0.000067474444,0.000105317435,0.00006164323,0.00091146573,5.8324144e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045882404,0.00035402787,0.000113094764,0.0014046908,0.00012577527,0.000018692332,0.001349883,0.27779666,0.00008880594,0.713284,0.00010255918,0.004902942],"study_design_scores_gemma":[0.0026955034,0.0006754708,0.00006656637,0.003524746,0.000040980718,0.0000071446466,0.0010108805,0.6398447,0.0036560285,0.34812135,0.00013538444,0.00022120294],"about_ca_topic_score_codex":9.073353e-7,"about_ca_topic_score_gemma":3.6723996e-8,"teacher_disagreement_score":0.36516267,"about_ca_system_score_codex":0.0000870235,"about_ca_system_score_gemma":0.00008848564,"threshold_uncertainty_score":0.7731252},"labels":[],"label_agreement":null},{"id":"W4409787589","doi":"10.61091/jcmcc127a-284","title":"Research on posture filtering algorithms for lower limb rehabilitation of patients with functional impairment in sports","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies and Applied Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Physical medicine and rehabilitation; Functional impairment; Algorithm; Physical therapy; Computer science; Medicine; Psychology; Internal medicine","score_opus":0.01529722132824623,"score_gpt":0.2889586286790934,"score_spread":0.27366140735084715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8279828,0.000040928495,0.16699696,0.00023058009,0.004059362,0.0005306275,0.0000012186434,0.000028187838,0.00012937542],"genre_scores_gemma":[0.92957944,0.00000402922,0.070230104,0.000011885867,0.00015348975,0.000006530211,8.0195287e-7,0.000011750316,0.0000019767485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976621,0.000057318597,0.0008924533,0.00028303015,0.00077708304,0.00032797697],"domain_scores_gemma":[0.99620736,0.0018158333,0.0006416412,0.0002971819,0.0009807795,0.000057196976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018523812,0.00019517163,0.00051305187,0.0005638935,0.00020149848,0.000096095755,0.00050410035,0.00012914864,5.383625e-7],"category_scores_gemma":[0.00034934323,0.00015877206,0.000099318415,0.00079423055,0.0000837803,0.00018140693,0.0003594486,0.0004933556,9.811319e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054867,0.0013510596,0.0010317011,0.00023448668,0.000035592304,0.000005414098,0.00032675217,0.0016249409,0.000071807466,0.98463076,0.00008626286,0.010052523],"study_design_scores_gemma":[0.0073138485,0.007176568,0.008722621,0.0013542683,0.00001844026,0.000004257154,0.0005770907,0.02064357,0.0006093198,0.9530962,0.00023541917,0.00024840172],"about_ca_topic_score_codex":0.0000014612375,"about_ca_topic_score_gemma":1.355858e-7,"teacher_disagreement_score":0.10159666,"about_ca_system_score_codex":0.00015569,"about_ca_system_score_gemma":0.00013681344,"threshold_uncertainty_score":0.6474537},"labels":[],"label_agreement":null},{"id":"W4409787590","doi":"10.61091/jcmcc127a-357","title":"Optimization of Power Indicator Benchmarking Assessment Based on Cloud Computing and Big Data Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Benchmarking; Cloud computing; Big data; Data science; Computer science; Data mining; Business; Operating system","score_opus":0.025727618230913064,"score_gpt":0.3285587650469116,"score_spread":0.30283114681599854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787590","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4204642,0.00008274683,0.56104213,0.00047717072,0.014096228,0.00038650894,0.0000038145592,0.000031217693,0.0034159855],"genre_scores_gemma":[0.819656,0.000011267417,0.18001571,0.000052923126,0.0002467726,5.491602e-7,0.0000019642034,0.000013466373,0.0000013571216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974589,0.00023559286,0.0010903097,0.0003039898,0.00069139927,0.00021983932],"domain_scores_gemma":[0.9966856,0.0013408529,0.0012988044,0.00046693705,0.0001233698,0.0000844331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004405413,0.00021196913,0.00058260874,0.00032544855,0.00025622698,0.000088485365,0.00061781454,0.00022796572,0.000030174408],"category_scores_gemma":[0.0010115192,0.00019712704,0.000055632237,0.0005621046,0.0002065737,0.00011045433,0.0009023953,0.000534569,3.9144606e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024020426,0.0024878627,0.04614002,0.00056948356,0.00032331445,0.000023681234,0.0013837101,0.074347064,0.0014609665,0.80803317,0.0012176032,0.063772894],"study_design_scores_gemma":[0.004414283,0.0010937012,0.0019414808,0.00077997905,0.0001720846,0.000017966357,0.00029699778,0.77937216,0.00058516144,0.21065295,0.00036817061,0.00030508864],"about_ca_topic_score_codex":0.000006330794,"about_ca_topic_score_gemma":2.5156407e-7,"teacher_disagreement_score":0.7050251,"about_ca_system_score_codex":0.00012693963,"about_ca_system_score_gemma":0.00014019155,"threshold_uncertainty_score":0.8038607},"labels":[],"label_agreement":null},{"id":"W4409787591","doi":"10.61091/jcmcc127a-355","title":"Path Search Algorithm for Parking Spaces Based on Artificial Intelligence Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Algorithm; Computer science; Path (computing); Artificial intelligence","score_opus":0.0250071683979157,"score_gpt":0.29460855442731343,"score_spread":0.2696013860293977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787591","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037681486,0.00034039892,0.9351615,0.000117002164,0.024966555,0.0007230188,0.000009597568,0.00011929778,0.00088115706],"genre_scores_gemma":[0.9355415,0.000022548402,0.062158868,0.00001684286,0.0021731318,0.000012141173,0.0000024116448,0.00006494288,0.0000076156202],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996962,0.00013036061,0.0012315108,0.0002560611,0.0008689126,0.00055113307],"domain_scores_gemma":[0.9963795,0.0021980498,0.0003020061,0.00029149838,0.0006478148,0.0001811114],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030209352,0.0003494066,0.00081769313,0.00056954235,0.00033010158,0.0004653888,0.00050961145,0.00022142,0.0000039366764],"category_scores_gemma":[0.00041997005,0.00033082473,0.00023054899,0.0005870752,0.000088360364,0.00012025361,0.00011356404,0.0006951473,0.000002625578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015271174,0.00090019923,0.00006971145,0.0017347618,0.00043086687,0.000057775876,0.0010412004,0.009957124,0.0007127639,0.4811133,0.00095275394,0.5028768],"study_design_scores_gemma":[0.0011170614,0.0005478928,0.000010571153,0.0010893202,0.00004963889,0.000012835435,0.00035721957,0.83977103,0.0047076377,0.15130632,0.00076779147,0.00026269935],"about_ca_topic_score_codex":0.0000063070465,"about_ca_topic_score_gemma":1.8634891e-7,"teacher_disagreement_score":0.89786,"about_ca_system_score_codex":0.00022549983,"about_ca_system_score_gemma":0.00021191672,"threshold_uncertainty_score":0.9999144},"labels":[],"label_agreement":null},{"id":"W4409787592","doi":"10.61091/jcmcc127a-378","title":"Development of a Dynamic Allocation Model of English Teaching Resources Based on Combinatorial Mathematical Optimization Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Development (topology); Mathematical optimization; Algorithm; Mathematics","score_opus":0.013379509800350608,"score_gpt":0.27738220700897215,"score_spread":0.2640026972086215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787592","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14295213,0.00006391075,0.84774214,0.00016647237,0.0076084738,0.0002591859,0.0000017825997,0.000052108204,0.0011538104],"genre_scores_gemma":[0.61452764,0.0000041842823,0.3852837,0.000015878852,0.00014708014,0.0000030140982,0.0000017591276,0.000012118736,0.0000046097143],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967113,0.00016841007,0.0017734445,0.00028438625,0.000798739,0.0002637223],"domain_scores_gemma":[0.9952058,0.0012133673,0.0016214588,0.00043380668,0.001427214,0.00009833198],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027405173,0.00028990433,0.00083441404,0.0006299669,0.00028859076,0.00009365112,0.0009810056,0.00029130973,0.0000023225261],"category_scores_gemma":[0.0016814986,0.0002747699,0.00015908112,0.0004670439,0.00013327104,0.00024235081,0.00028382376,0.0006018874,3.6498147e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006167153,0.0014965562,0.000018877754,0.0003195113,0.00009909303,0.0000010563463,0.0046743457,0.009425827,0.0002971866,0.9765156,0.000030955416,0.0070593082],"study_design_scores_gemma":[0.0020261614,0.0002797053,0.00001468397,0.00063081714,0.00004702612,0.0000025880706,0.00028803255,0.64442575,0.0015032205,0.3505599,0.000065253946,0.00015683791],"about_ca_topic_score_codex":0.0000017490094,"about_ca_topic_score_gemma":1.0833384e-7,"teacher_disagreement_score":0.63499993,"about_ca_system_score_codex":0.00014178405,"about_ca_system_score_gemma":0.0007549621,"threshold_uncertainty_score":0.99997044},"labels":[],"label_agreement":null},{"id":"W4409787593","doi":"10.61091/jcmcc127a-362","title":"Semantic segmentation model for lane lines based on multi-scale attention mechanism","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Segmentation; Computer science; Mechanism (biology); Scale (ratio); Artificial intelligence; Natural language processing; Cartography; Geography; Physics","score_opus":0.012258104106110182,"score_gpt":0.25025620753928285,"score_spread":0.23799810343317268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787593","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28401008,0.00005221375,0.70995504,0.00010754345,0.005363953,0.00028719055,0.0000030726228,0.00010513896,0.00011578868],"genre_scores_gemma":[0.9604172,0.000013860294,0.039295167,0.000025529394,0.00020127172,0.0000057277057,0.0000031378313,0.000025243546,0.000012842273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987677,0.000025351892,0.0006812935,0.000128642,0.00019276133,0.00020427903],"domain_scores_gemma":[0.9990167,0.00029711734,0.00027636866,0.00014447173,0.00021238367,0.000052969746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007093383,0.00020109086,0.00044665323,0.00023273929,0.00018863568,0.000057538102,0.00018637413,0.00020702733,9.3944385e-7],"category_scores_gemma":[0.00009343103,0.00019148183,0.00013260031,0.00015695713,0.00003093089,0.00008258356,0.00003872397,0.00030021486,7.5863704e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018607534,0.00082551414,0.00017818659,0.0010571232,0.00020674737,0.0000057727757,0.0004897034,0.057942256,0.011659014,0.9227306,0.00023349913,0.0044855084],"study_design_scores_gemma":[0.003236294,0.0001848351,0.00003121352,0.00023637802,0.00007665116,0.000003466856,0.00006458142,0.7290277,0.0029619334,0.26403987,0.000015762947,0.00012134082],"about_ca_topic_score_codex":7.5234647e-7,"about_ca_topic_score_gemma":4.479802e-7,"teacher_disagreement_score":0.67640716,"about_ca_system_score_codex":0.00008949555,"about_ca_system_score_gemma":0.00005544085,"threshold_uncertainty_score":0.7808402},"labels":[],"label_agreement":null},{"id":"W4409787595","doi":"10.61091/jcmcc127a-289","title":"Study on the accurate calculation method for the distribution of structural residual bearing capacity during the demolition process of the Clearwater River Bridge","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Demolition; Residual; Bridge (graph theory); Process (computing); Bearing capacity; Structural engineering; Distribution (mathematics); Materials science; Environmental science; Engineering; Civil engineering; Mathematics; Computer science; Algorithm; Biology; Mathematical analysis","score_opus":0.01506931528771345,"score_gpt":0.269600056826345,"score_spread":0.2545307415386316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9647786,0.00003778925,0.032666035,0.00017330311,0.0019004417,0.00041149574,0.0000059234303,0.000015258532,0.000011139473],"genre_scores_gemma":[0.99961996,0.0000026322261,0.00012529884,0.0000034375933,0.00022972132,0.000004727222,5.802456e-7,0.000011918323,0.0000017330382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985726,0.0001172024,0.0006894994,0.00009001165,0.00037316277,0.00015755444],"domain_scores_gemma":[0.99786055,0.0011553572,0.00040691407,0.00023582637,0.00031864338,0.000022683062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015460859,0.0001535783,0.00034649635,0.000047518282,0.000389292,0.00006409739,0.00038162273,0.000072265226,4.397335e-7],"category_scores_gemma":[0.0005246338,0.00007285878,0.00017481789,0.000320972,0.00007633908,0.000059799524,0.00009198525,0.00041472,4.6598654e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019529385,0.00030726823,0.0012506397,0.0010176803,0.0011673424,0.000001239797,0.006372853,0.6249518,0.0029918912,0.36073402,0.00008376612,0.00092620414],"study_design_scores_gemma":[0.0031204363,0.00031515007,0.075963624,0.0007234796,0.00079081685,0.000015651096,0.0014765976,0.7036099,0.017382696,0.19632982,0.000027930522,0.00024392777],"about_ca_topic_score_codex":0.000018743607,"about_ca_topic_score_gemma":4.6277498e-7,"teacher_disagreement_score":0.1644042,"about_ca_system_score_codex":0.000056747285,"about_ca_system_score_gemma":0.000024083878,"threshold_uncertainty_score":0.29941586},"labels":[],"label_agreement":null},{"id":"W4409787596","doi":"10.61091/jcmcc127a-333","title":"Using Machine Learning Techniques to Improve the Accuracy of Computer Translation in the English Translation of Specialized Terms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Translation (biology); Computer science; Machine translation; Natural language processing; Artificial intelligence; Example-based machine translation; Computer-assisted translation; Machine learning; Chemistry","score_opus":0.018315891337762364,"score_gpt":0.29902304069785524,"score_spread":0.2807071493600929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787596","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17836685,0.0010266585,0.8142538,0.0005335266,0.0046398365,0.0008867281,0.0000015880491,0.00006695163,0.00022401902],"genre_scores_gemma":[0.73218215,0.000015942263,0.26741782,0.000032599055,0.00034036813,0.000001756815,3.8488895e-7,0.000008631385,3.8551084e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99749374,0.0003162669,0.0012552562,0.00017918144,0.00056056946,0.00019501099],"domain_scores_gemma":[0.99602795,0.0019390509,0.0011827585,0.0002899447,0.00052442716,0.000035843634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031624455,0.00020299041,0.00058930245,0.00035170745,0.0001627165,0.00020109184,0.001118529,0.00012602877,5.457935e-7],"category_scores_gemma":[0.00068061263,0.0001316774,0.0001497497,0.0009004535,0.000072190116,0.00034640462,0.00018791418,0.0005746933,3.303827e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015662547,0.0005262832,0.00018620468,0.0004977454,0.00007692965,0.0000066282505,0.020783925,0.00012847307,0.027846975,0.848581,0.000020390597,0.101188816],"study_design_scores_gemma":[0.002958076,0.0009340711,0.000062698746,0.0016478371,0.000107970736,0.000028328264,0.00037237615,0.098941624,0.08088807,0.81318593,0.00056945725,0.00030357114],"about_ca_topic_score_codex":0.000033642853,"about_ca_topic_score_gemma":0.0000014146163,"teacher_disagreement_score":0.55381525,"about_ca_system_score_codex":0.000049735245,"about_ca_system_score_gemma":0.00011439787,"threshold_uncertainty_score":0.5369649},"labels":[],"label_agreement":null},{"id":"W4409787598","doi":"10.61091/jcmcc127a-369","title":"Enterprise Supply Chain Management and Information Assurance Mechanism Based on Error Backpropagation Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Safety and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Backpropagation; Mechanism (biology); Supply chain; Computer science; Supply chain management; Algorithm; Chain (unit); Knowledge management; Process management; Artificial intelligence; Artificial neural network; Business; Marketing","score_opus":0.006059000141767176,"score_gpt":0.21557917767920523,"score_spread":0.20952017753743807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787598","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3129229,0.00045306934,0.57416856,0.0055631762,0.06330537,0.0034544587,0.000009436057,0.00031858726,0.039804414],"genre_scores_gemma":[0.9905111,0.000058552105,0.007818506,0.0006876758,0.0008737573,0.0000065865765,0.0000060867055,0.00001875693,0.000018930878],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979872,0.00003351137,0.00092619006,0.0001878351,0.0006031365,0.00026208957],"domain_scores_gemma":[0.9981723,0.00022938455,0.0009911418,0.0002027615,0.00037048466,0.000033929617],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015369543,0.00028144845,0.00047400972,0.00067404454,0.0003578695,0.0005581847,0.0002863485,0.00010973863,0.00000787412],"category_scores_gemma":[0.00016865364,0.00024837867,0.00011163344,0.0004747655,0.000047960377,0.0010878119,0.00026511672,0.0002837476,0.0000075853704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001479763,0.00029981454,0.00014192711,0.00083934434,0.00008767497,0.000011946634,0.00009692797,0.0002019556,0.000009312456,0.97760534,0.000578486,0.019979274],"study_design_scores_gemma":[0.008172142,0.00022262803,0.0014669667,0.0016078317,0.0002792708,0.0000058101537,0.00057667197,0.28465393,0.000102550606,0.68995607,0.012567787,0.00038830188],"about_ca_topic_score_codex":0.000012248194,"about_ca_topic_score_gemma":3.313402e-7,"teacher_disagreement_score":0.6775882,"about_ca_system_score_codex":0.00007441745,"about_ca_system_score_gemma":0.000037007107,"threshold_uncertainty_score":0.99999684},"labels":[],"label_agreement":null},{"id":"W4409787600","doi":"10.61091/jcmcc127a-317","title":"Research on the Path of Enhancing Teaching Effect of Data Visualization Technology in Civic and Political Education in Colleges and Universities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Politics; Path (computing); Visualization; Mathematics education; Political science; Sociology; Engineering ethics; Pedagogy; Psychology; Computer science; Engineering; Artificial intelligence; Law","score_opus":0.016424240083612308,"score_gpt":0.350481424433303,"score_spread":0.3340571843496907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99743736,0.00006675593,0.00010307997,0.0005015913,0.0005017704,0.00015473901,8.926854e-7,0.0000016208721,0.0012321782],"genre_scores_gemma":[0.99959654,0.000016287357,0.00032821338,0.000007805466,0.000040869414,8.390767e-7,7.7655613e-7,0.0000036794747,0.000004997057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99888355,0.00016301496,0.0004594244,0.00010614563,0.00026431776,0.00012356557],"domain_scores_gemma":[0.99798316,0.0015448582,0.00023853609,0.00012795063,0.00008073721,0.000024762665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033661216,0.0000719823,0.00024110463,0.00036947746,0.00012606614,0.000025518935,0.00020215154,0.00006777365,0.0000021394778],"category_scores_gemma":[0.00069198315,0.000051874635,0.0000113159695,0.0005460556,0.00019685125,0.00015375762,0.00031995823,0.0003137401,6.983042e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025798074,0.00021249139,0.009059976,0.0001082274,0.0000073255983,3.4792967e-7,0.00051831175,0.0000061053347,0.0009457461,0.9881594,0.00003337178,0.00092285377],"study_design_scores_gemma":[0.001757002,0.00089228724,0.014955087,0.0018132103,0.000024977246,0.000009367293,0.017463803,0.003973844,0.0032096226,0.95570165,0.00009499214,0.0001041809],"about_ca_topic_score_codex":0.00010334269,"about_ca_topic_score_gemma":0.0000046974656,"teacher_disagreement_score":0.03245782,"about_ca_system_score_codex":0.00013599488,"about_ca_system_score_gemma":0.00018794059,"threshold_uncertainty_score":0.21153861},"labels":[],"label_agreement":null},{"id":"W4409787604","doi":"10.61091/jcmcc127a-407","title":"Research on Spatial Distribution and Coupling Characteristics of Sports Industry and Tourism Industry Based on Big Data Computational Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tourism; Big data; Distribution (mathematics); Economic geography; Coupling (piping); Spatial distribution; Data science; Regional science; Geography; Computer science; Engineering; Data mining; Mathematics; Remote sensing; Mechanical engineering","score_opus":0.04477689594883949,"score_gpt":0.31234080519495455,"score_spread":0.26756390924611506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98992497,0.00002460063,0.0058580227,0.0010699022,0.0025598118,0.0001688022,0.000018029483,0.00002043825,0.00035542023],"genre_scores_gemma":[0.99844927,0.000006784056,0.0002548576,0.000095284035,0.0011142575,0.000001089194,0.00006277759,0.000013107018,0.0000025728957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99785405,0.000030703337,0.0009460266,0.0002656249,0.000676151,0.00022741297],"domain_scores_gemma":[0.996878,0.00084990135,0.0009953352,0.00032665185,0.00091774185,0.00003234074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026845615,0.00020281687,0.00062550046,0.0010777955,0.00040860733,0.0002565824,0.00035112543,0.0004927809,0.0000044095373],"category_scores_gemma":[0.00082780776,0.00019161784,0.000056912537,0.0015021868,0.00025271575,0.00017653935,0.000474049,0.0015910979,3.0497e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016044878,0.0007266069,0.054414693,0.000356775,0.0003107265,0.000019941177,0.000031899646,0.0006015236,0.00001957417,0.9349085,0.0006364091,0.007812868],"study_design_scores_gemma":[0.0052664387,0.00033682835,0.12402359,0.0018428869,0.000992782,0.000007902961,0.0007687419,0.39291522,0.00007463043,0.4726482,0.0006956191,0.0004271734],"about_ca_topic_score_codex":0.000048933445,"about_ca_topic_score_gemma":9.739964e-7,"teacher_disagreement_score":0.46226034,"about_ca_system_score_codex":0.000042797732,"about_ca_system_score_gemma":0.000121200326,"threshold_uncertainty_score":0.7813949},"labels":[],"label_agreement":null},{"id":"W4409787607","doi":"10.61091/jcmcc127a-272","title":"Research on computationally optimized distribution network topology reconfiguration method combining Levy flight and electric eel foraging algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lévy flight; Control reconfiguration; Foraging; Topology (electrical circuits); Computer science; Algorithm; Distribution (mathematics); Network topology; Mathematics; Embedded system; Ecology; Biology; Computer network; Combinatorics","score_opus":0.01666591641714622,"score_gpt":0.31161351486070094,"score_spread":0.2949475984435547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787607","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12668672,0.0011217936,0.85135657,0.000336344,0.015197343,0.0006915561,0.0000034022846,0.00013392126,0.0044723335],"genre_scores_gemma":[0.98565304,0.0000645326,0.013148153,0.000024138899,0.0010537961,0.0000060402513,0.000009286768,0.000029976702,0.000011043489],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99709153,0.00044361484,0.0012300943,0.00023379401,0.0005643716,0.00043657667],"domain_scores_gemma":[0.9957731,0.002730453,0.00044088636,0.00016580298,0.00074832235,0.00014143721],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0041300687,0.0002736495,0.00081307365,0.000378082,0.00050418044,0.00038746768,0.00022075986,0.00023194915,0.000004137441],"category_scores_gemma":[0.00028273245,0.000263668,0.000115370836,0.00070709555,0.000043320884,0.00020671576,0.000077632045,0.0007648516,0.0000015646344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014368123,0.000184575,0.000032959186,0.00019380885,0.0002853065,0.000011986417,0.0004142904,0.07628148,0.00043623446,0.8920676,0.0011023828,0.028845679],"study_design_scores_gemma":[0.0043133534,0.00034608287,0.00014132878,0.00039882073,0.00005954044,0.00004373404,0.00024637385,0.7294571,0.00029363442,0.2638593,0.00065159344,0.00018917535],"about_ca_topic_score_codex":0.000008133909,"about_ca_topic_score_gemma":2.1293253e-7,"teacher_disagreement_score":0.8589663,"about_ca_system_score_codex":0.00020146141,"about_ca_system_score_gemma":0.00011532551,"threshold_uncertainty_score":0.9999816},"labels":[],"label_agreement":null},{"id":"W4409787609","doi":"10.61091/jcmcc127a-396","title":"Study on the Possibility of Combining Abrasive Painting Technique with Algorithmically Generated Color Distribution Methods in Lacquer Painting Creation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lacquer; Painting; Abrasive; Art; Inpainting; Visual arts; Computer science; Materials science; Artificial intelligence; Engineering drawing; Engineering; Composite material; Image (mathematics); Coating","score_opus":0.019609434984972033,"score_gpt":0.33344967365358374,"score_spread":0.3138402386686117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6707006,0.000019659507,0.3266224,0.00015546758,0.0016036909,0.00062384206,9.4032316e-7,0.000026006945,0.00024735747],"genre_scores_gemma":[0.96574545,0.0000019218257,0.03409118,0.00002280423,0.000109756606,0.000013247693,0.0000012407909,0.000012254359,0.0000021335713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966905,0.00074405683,0.0013867895,0.00030300167,0.0005746807,0.00030093227],"domain_scores_gemma":[0.9942017,0.0033138813,0.0012153627,0.0003456705,0.00084067514,0.0000827178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007316672,0.00027068466,0.00074907526,0.0001879836,0.00024244311,0.0003074364,0.00067580055,0.00012059334,6.6302346e-7],"category_scores_gemma":[0.001686686,0.0001840773,0.00010609349,0.0010739162,0.0001385984,0.00029506453,0.00035287152,0.0005720655,2.4505047e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015267302,0.0025443903,0.0048518907,0.00015621593,0.00017723707,0.000037008365,0.002937561,0.00008956369,0.0026114315,0.9793975,0.000023028166,0.007021533],"study_design_scores_gemma":[0.013075043,0.0105413385,0.014002199,0.0059918473,0.00024801068,0.00008742495,0.009317569,0.12930024,0.051606003,0.7648107,0.00006673632,0.0009529141],"about_ca_topic_score_codex":0.000013042374,"about_ca_topic_score_gemma":5.040778e-7,"teacher_disagreement_score":0.29504484,"about_ca_system_score_codex":0.00013823232,"about_ca_system_score_gemma":0.00023287936,"threshold_uncertainty_score":0.75064546},"labels":[],"label_agreement":null},{"id":"W4409787611","doi":"10.61091/jcmcc127a-419","title":"Interactive Design and Application of Virtual Training System for Smart Substation Combining Configuration Algorithm and Digital Twin Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Training (meteorology); Algorithm","score_opus":0.013926330490746113,"score_gpt":0.2864756871458417,"score_spread":0.2725493566550956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787611","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051584467,0.00012449513,0.94550264,0.000086204906,0.002034429,0.00053353724,0.000001794957,0.000079045494,0.000053396456],"genre_scores_gemma":[0.73893994,0.0000067481546,0.26096278,0.0000049044024,0.00006505027,0.000008309312,8.324531e-7,0.000010576148,8.7058487e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981472,0.00007203402,0.0010254291,0.00026998602,0.0002989678,0.00018640152],"domain_scores_gemma":[0.99528515,0.002355533,0.0012951796,0.00020405142,0.00079464796,0.00006544787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001361618,0.00020724298,0.00063669705,0.00049080414,0.0002204675,0.00027937666,0.00035310976,0.00016080728,6.711421e-8],"category_scores_gemma":[0.00074276864,0.00020046953,0.000059302893,0.00042572955,0.00011575483,0.0006159209,0.00023576598,0.0002509924,8.0412114e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061152445,0.00008795252,0.00002121572,0.00009830953,0.00005284501,0.0000023589957,0.0012844506,0.000052805935,0.0010639296,0.8251093,0.000008409314,0.17215729],"study_design_scores_gemma":[0.002133828,0.0008333384,0.000018263934,0.00066649023,0.000038542898,0.00007029035,0.0012916035,0.30636957,0.005423018,0.6829536,0.00005550528,0.00014595535],"about_ca_topic_score_codex":0.0000013126523,"about_ca_topic_score_gemma":3.4306165e-8,"teacher_disagreement_score":0.68735546,"about_ca_system_score_codex":0.00008803618,"about_ca_system_score_gemma":0.000114387105,"threshold_uncertainty_score":0.817491},"labels":[],"label_agreement":null},{"id":"W4409787612","doi":"10.61091/jcmcc127a-395","title":"Research on the Optimization Strategy of International Communication of Micro Short Drama Based on Bayesian Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Drama; Bayesian probability; Bayesian network; Computer science; Bayesian optimization; Artificial intelligence; Art; Literature","score_opus":0.04616887872093157,"score_gpt":0.39107303663693477,"score_spread":0.3449041579160032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.691015,0.0003820102,0.13636558,0.012931986,0.024753615,0.0023408341,0.000010705666,0.000079383906,0.13212089],"genre_scores_gemma":[0.99481887,0.000054499993,0.004625586,0.00003885897,0.0004313831,0.0000035874436,0.0000021789488,0.000010859325,0.000014174345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99712044,0.0006990438,0.0009055841,0.00011766241,0.00097540225,0.00018186857],"domain_scores_gemma":[0.99236554,0.0038235127,0.0007514843,0.00025730097,0.0027583297,0.00004385323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007745428,0.0001231351,0.00033808817,0.000428855,0.00047171,0.00012554976,0.00077915454,0.00015372469,0.000017319337],"category_scores_gemma":[0.0015386641,0.000100391546,0.00009221523,0.00087395107,0.00041222246,0.000102387065,0.00010922204,0.0006117652,1.345006e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010346534,0.0006043337,0.00019931966,0.000031359094,0.00005072299,4.2242132e-7,0.00091113674,0.0076445504,0.00007143014,0.98880523,0.00085167855,0.00072632806],"study_design_scores_gemma":[0.0016581649,0.0009588891,0.0006009415,0.0023485306,0.00005327576,0.0000014114556,0.0073424783,0.10274358,0.0037435582,0.8793332,0.000988828,0.00022714173],"about_ca_topic_score_codex":0.000044628032,"about_ca_topic_score_gemma":0.000001421901,"teacher_disagreement_score":0.3038039,"about_ca_system_score_codex":0.00018835202,"about_ca_system_score_gemma":0.0005215147,"threshold_uncertainty_score":0.40938485},"labels":[],"label_agreement":null},{"id":"W4409787614","doi":"10.61091/jcmcc127a-397","title":"Cross-domain Generalization Performance of a Neural Machine Translation System Incorporating Hierarchical Bayesian Models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Generalization; Computer science; Bayesian probability; Artificial intelligence; Machine translation; Translation (biology); Domain (mathematical analysis); Machine learning; Bayesian hierarchical modeling; Bayesian inference; Mathematics; Biology","score_opus":0.013802138578180103,"score_gpt":0.25763490681232026,"score_spread":0.24383276823414016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787614","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.458684,0.00028896972,0.53727794,0.00015269667,0.002946767,0.00020603964,0.0000011332504,0.000037071637,0.00040536912],"genre_scores_gemma":[0.95560986,0.0000134967795,0.043999534,0.000017250606,0.00033974167,0.0000027275853,0.0000016612955,0.000012985663,0.0000027162523],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99759346,0.0001267396,0.0013484247,0.00022400635,0.00048221234,0.00022518098],"domain_scores_gemma":[0.99767643,0.0003538946,0.0011164856,0.00028782428,0.0004596504,0.00010570444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011810508,0.00021675229,0.00057099207,0.00022534632,0.00034007436,0.000259904,0.00064559194,0.00012265448,4.965391e-7],"category_scores_gemma":[0.00003804493,0.0001924216,0.0001390914,0.000690837,0.00008217259,0.00052283827,0.0002059942,0.00035355566,1.4749443e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041164203,0.00020441896,0.00035356652,0.00032595074,0.00003607652,0.0000034251707,0.0003671577,0.010753657,0.0005859298,0.98034734,0.000010828661,0.0069704703],"study_design_scores_gemma":[0.0014743111,0.00025829006,0.00006423343,0.00032002231,0.000023113722,0.000033526176,0.00002542663,0.75697005,0.00040467805,0.24028705,0.00001939042,0.0001199194],"about_ca_topic_score_codex":0.0000068440927,"about_ca_topic_score_gemma":2.6739423e-7,"teacher_disagreement_score":0.7462164,"about_ca_system_score_codex":0.00006238696,"about_ca_system_score_gemma":0.0001220971,"threshold_uncertainty_score":0.78467256},"labels":[],"label_agreement":null},{"id":"W4409787615","doi":"10.61091/jcmcc127a-356","title":"Reconstruction of Visual Appeal and Renewal of Dynamic Environments: Computational Methods and Innovative Strategies in the Future-oriented Digital Transformation of Heritage Museums","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Appeal; Transformation (genetics); Digital transformation; Computer science; Cultural heritage; Data science; Political science; History; World Wide Web; Archaeology","score_opus":0.007936177776131292,"score_gpt":0.2663758154022277,"score_spread":0.2584396376260964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99335337,0.0003794659,0.004481722,0.000041986463,0.0012871948,0.00013928229,0.000011330467,0.0000025657612,0.00030305906],"genre_scores_gemma":[0.9955919,0.000056693134,0.0042883568,0.0000027149267,0.000049238784,1.8566305e-7,0.000008010369,0.0000023221605,6.2583644e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99844754,0.0001939708,0.00088292995,0.00009427463,0.0002786915,0.00010256619],"domain_scores_gemma":[0.9985118,0.00057985424,0.000678125,0.000052467163,0.00014933696,0.000028431909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013908806,0.00012500888,0.00042490376,0.00014038122,0.000081216385,0.000058370348,0.00010292254,0.000078627294,0.0000021848166],"category_scores_gemma":[0.00008275241,0.00008997439,0.000043643646,0.0003473635,0.00018990447,0.00032627024,0.000018942994,0.00019188502,3.291839e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011092044,0.0010478387,0.04897325,0.0021617408,0.0004617912,0.000008480478,0.034318294,0.0013397472,0.0029851277,0.6474152,0.000009933908,0.2601694],"study_design_scores_gemma":[0.007316736,0.0021401267,0.11341617,0.0011690652,0.00011274837,0.00014050849,0.064459026,0.05904881,0.00071984815,0.7510656,0.000059062997,0.0003522875],"about_ca_topic_score_codex":0.000025513042,"about_ca_topic_score_gemma":0.000006188476,"teacher_disagreement_score":0.2598171,"about_ca_system_score_codex":0.000007724731,"about_ca_system_score_gemma":0.00006184786,"threshold_uncertainty_score":0.3669049},"labels":[],"label_agreement":null},{"id":"W4409787617","doi":"10.61091/jcmcc127a-275","title":"Analyzing the Impact of Financial Sharing Models on the Efficiency of Resource-Consuming Firms in a Low-Carbon Economy Using Monte Carlo Methods","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Monte Carlo method; Resource (disambiguation); Carbon fibers; Economics; Business; Computer science; Mathematics","score_opus":0.02632300646312652,"score_gpt":0.2916871476885221,"score_spread":0.2653641412253956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928459,0.00038489993,0.0024893659,0.00010110281,0.0021392573,0.00029475547,5.718709e-7,0.000008648257,0.0017354997],"genre_scores_gemma":[0.9989616,0.000007063309,0.00032911237,0.000024747114,0.00065724173,0.0000013022849,2.1466808e-7,0.000017518169,0.00000114613],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99779207,0.000095912124,0.001331947,0.00019590944,0.00027246756,0.0003117022],"domain_scores_gemma":[0.99639904,0.0011797714,0.0017374634,0.00031005836,0.00035232934,0.000021343063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045161555,0.00026569774,0.0008146679,0.0004733907,0.00024830212,0.00021678145,0.00074611325,0.00013097488,0.0000024043131],"category_scores_gemma":[0.0011945912,0.00017036515,0.000348859,0.0008058009,0.00013275513,0.00030890547,0.0005531903,0.00059020834,1.0531183e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002571206,0.0005892234,0.0029449558,0.0005956646,0.00018289124,0.0000074242203,0.0012259901,0.019188251,0.00084309035,0.9732029,0.000034571596,0.00092794205],"study_design_scores_gemma":[0.0017481309,0.00010035008,0.0003551724,0.001622656,0.00012424855,0.0000036649299,0.00039995078,0.4821216,0.00047881872,0.51286346,0.000018597866,0.00016337208],"about_ca_topic_score_codex":0.00017537578,"about_ca_topic_score_gemma":0.0000011638939,"teacher_disagreement_score":0.46293333,"about_ca_system_score_codex":0.000119257245,"about_ca_system_score_gemma":0.00015234279,"threshold_uncertainty_score":0.6947289},"labels":[],"label_agreement":null},{"id":"W4409787620","doi":"10.61091/jcmcc127a-278","title":"A Study on Emotion Recognition Model Incorporating Random Forest Algorithm and Its Improvement on Information System Security Performance","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hubei Provincial Department of Education","keywords":"Random forest; Computer science; Algorithm; Artificial intelligence; Pattern recognition (psychology); Machine learning","score_opus":0.0121438834908913,"score_gpt":0.23737022981042608,"score_spread":0.22522634631953478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7939022,0.000018779123,0.20245339,0.000082913204,0.002812537,0.0004202473,0.0000029207165,0.000062178755,0.0002448333],"genre_scores_gemma":[0.9948882,0.000009261806,0.00491087,0.00003208029,0.0001432424,0.000006521752,0.000002604352,0.000006174499,0.000001054041],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979111,0.00010476683,0.0010462735,0.00022025869,0.00051734585,0.0002002794],"domain_scores_gemma":[0.99773836,0.00029602577,0.0011091367,0.0002719738,0.00050465146,0.000079834725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021153085,0.00023940291,0.00056360767,0.0005127805,0.000445936,0.00033616065,0.000424054,0.00015257983,1.689407e-7],"category_scores_gemma":[0.00026453385,0.0002069745,0.00008105705,0.00046319474,0.000028675087,0.00085939874,0.0003235154,0.00047961774,0.0000023488376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000219423,0.0010196442,0.0003158639,0.00042871074,0.00022948746,0.000013329263,0.0030376532,0.0010310258,0.00003961792,0.95005757,0.00006195256,0.043545745],"study_design_scores_gemma":[0.0065159346,0.0019690907,0.00013722225,0.000612714,0.0001007401,0.000020771271,0.0011451084,0.81034136,0.00056873716,0.17840096,0.0000042028582,0.00018316519],"about_ca_topic_score_codex":0.000002418094,"about_ca_topic_score_gemma":1.6515843e-7,"teacher_disagreement_score":0.8093103,"about_ca_system_score_codex":0.00012905015,"about_ca_system_score_gemma":0.000082967876,"threshold_uncertainty_score":0.8440175},"labels":[],"label_agreement":null},{"id":"W4409787621","doi":"10.61091/jcmcc127a-295","title":"Machine Learning-Based Data Mining and Fault Identification for Condition Monitoring of Multi-Dimensional Anthropomorphic Wind Turbines","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wind power; Identification (biology); Condition monitoring; Fault (geology); Computer science; Fault detection and isolation; Data mining; Machine learning; Artificial intelligence; Engineering; Geology; Seismology","score_opus":0.022674321283309127,"score_gpt":0.31725275249266516,"score_spread":0.294578431209356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9520604,0.0015602967,0.038337346,0.000105821906,0.007322972,0.00045564419,0.0000313562,0.00010396318,0.000022201099],"genre_scores_gemma":[0.9773078,0.000078898855,0.022247836,0.000004564699,0.00029624865,0.0000034021675,0.000025568126,0.000033416265,0.0000022384934],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981239,0.000064791304,0.0010876918,0.00020513505,0.00032582122,0.0001927058],"domain_scores_gemma":[0.99738777,0.0011293163,0.0006724743,0.00025318644,0.00048180163,0.000075466814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013756207,0.00024468097,0.00062873715,0.00030673473,0.0001996494,0.000112737594,0.00033336997,0.0001505992,0.0000016283008],"category_scores_gemma":[0.00091792375,0.00024102589,0.00007845179,0.00022052266,0.000094189454,0.0002189915,0.0001583014,0.00029551654,8.8141206e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019962266,0.011123666,0.12112338,0.03480046,0.0051757493,0.000108703425,0.007125767,0.11312427,0.22230217,0.39326423,0.009053289,0.08080209],"study_design_scores_gemma":[0.0055026915,0.0004086442,0.0009320531,0.0015812117,0.00024301998,0.000017945402,0.00016179524,0.93407696,0.025668908,0.030757857,0.0003388365,0.00031010175],"about_ca_topic_score_codex":0.000008013521,"about_ca_topic_score_gemma":4.673984e-7,"teacher_disagreement_score":0.82095265,"about_ca_system_score_codex":0.000051555955,"about_ca_system_score_gemma":0.00006210446,"threshold_uncertainty_score":0.98287505},"labels":[],"label_agreement":null},{"id":"W4409787622","doi":"10.61091/jcmcc127a-382","title":"Study on the Construction of Multilevel Regression Model for the Integration of Sichuan Rural Music and Cultural Tourism Industry under the Rural Revitalization Strategy","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tourism; Rural tourism; Regression analysis; Multilevel model; Geography; Economic geography; Business; Regional science; Tourism geography; Statistics; Archaeology; Mathematics","score_opus":0.05844709728591273,"score_gpt":0.3224762777798004,"score_spread":0.2640291804938877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907758,0.00013226383,0.0046350346,0.001047695,0.0025409586,0.0006363,0.0000010356049,0.0000041851586,0.0002266799],"genre_scores_gemma":[0.99936825,0.00008525041,0.00022318274,0.000020168212,0.0002686616,0.0000050267254,6.687531e-7,0.000005791118,0.000023018041],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985135,0.00018411073,0.0006174021,0.000076827484,0.00048684055,0.00012129212],"domain_scores_gemma":[0.99759763,0.001133203,0.00082422927,0.00011188843,0.00030133864,0.000031682743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017868936,0.00013187574,0.00028459888,0.00005436694,0.000659049,0.00010429834,0.00023818846,0.0001232099,0.0000014069357],"category_scores_gemma":[0.00031243163,0.00006367946,0.00008110583,0.00016103945,0.0003014855,0.00012734349,0.00007588669,0.0003019357,3.9223455e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008452306,0.00019297868,0.00032370284,0.000028947714,0.00008673816,2.0926618e-7,0.011222112,0.000627872,0.00028524996,0.9846525,0.00021434676,0.0022808257],"study_design_scores_gemma":[0.0029900172,0.0005136373,0.00446276,0.0010102217,0.00025044667,0.000005671951,0.18093647,0.040895294,0.00049504446,0.7682052,0.00006310739,0.00017208363],"about_ca_topic_score_codex":0.00003319784,"about_ca_topic_score_gemma":0.0000025285617,"teacher_disagreement_score":0.21644725,"about_ca_system_score_codex":0.000055105746,"about_ca_system_score_gemma":0.00011874486,"threshold_uncertainty_score":0.5068939},"labels":[],"label_agreement":null},{"id":"W4409787623","doi":"10.61091/jcmcc127a-292","title":"Optimization study of urban elderly manpower resource development strategy based on differential evolutionary algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Evolutionary algorithm; Differential evolution; Differential (mechanical device); Computer science; Resource (disambiguation); Mathematical optimization; Operations research; Algorithm; Artificial intelligence; Engineering; Mathematics","score_opus":0.009633296314434724,"score_gpt":0.2473321104981774,"score_spread":0.2376988141837427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787623","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.113473326,0.00007576779,0.8794628,0.00007299825,0.005769154,0.00038034722,5.468571e-7,0.00008352901,0.0006815236],"genre_scores_gemma":[0.86270744,0.000003006079,0.13709952,0.00001392241,0.00015011193,0.0000032740031,8.1837453e-7,0.000013937123,0.000007957784],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972039,0.00013248494,0.0012692627,0.00030979398,0.000800495,0.0002840717],"domain_scores_gemma":[0.9971691,0.0006517374,0.0010717208,0.0005060276,0.0005212103,0.00008023505],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00068104087,0.0002900465,0.0006595341,0.0004915828,0.00030177855,0.00014881742,0.0011099335,0.00021476034,0.0000029561313],"category_scores_gemma":[0.0002824822,0.00026355108,0.00010170092,0.00061692647,0.00007042176,0.00019589494,0.0005171243,0.00057002215,3.061344e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017157108,0.006273968,0.0002594424,0.00019776176,0.00027714463,0.0000499277,0.0018458668,0.04463409,0.000060119073,0.89651376,0.00046919213,0.04924715],"study_design_scores_gemma":[0.0094799185,0.0058262027,0.00029219242,0.0006860756,0.000091622656,0.00001849433,0.0009699202,0.76576173,0.0009644751,0.21500856,0.00042669594,0.00047412622],"about_ca_topic_score_codex":0.000002702463,"about_ca_topic_score_gemma":1.2106673e-7,"teacher_disagreement_score":0.74923414,"about_ca_system_score_codex":0.00015436292,"about_ca_system_score_gemma":0.00027932943,"threshold_uncertainty_score":0.99998164},"labels":[],"label_agreement":null},{"id":"W4409787625","doi":"10.61091/jcmcc127a-318","title":"Optimization simulation and application of welding process of steel pipe in Dianzhong water diversion project based on variational method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Railway","keywords":"Water diversion; Process (computing); Welding; Engineering; Computer science; Mechanical engineering; Environmental science; Water resource management","score_opus":0.008833325771991543,"score_gpt":0.26301217907208696,"score_spread":0.25417885330009543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787625","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42544663,0.000036009027,0.57236826,0.00003812875,0.0014968027,0.00032392688,8.5538875e-7,0.000019941788,0.0002694144],"genre_scores_gemma":[0.99606746,0.0000021804915,0.0038259695,0.000002469303,0.00009085495,0.0000023077328,8.7342426e-7,0.0000075040684,3.8202208e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988811,0.00006521064,0.00065732864,0.00008669796,0.00020475047,0.00010490611],"domain_scores_gemma":[0.9989507,0.0004307672,0.00029860548,0.00007786453,0.0002229453,0.000019077288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010973357,0.00010486792,0.00035198344,0.00034412727,0.000062844534,0.00002023841,0.00009921973,0.00014655979,6.3270994e-7],"category_scores_gemma":[0.00016664823,0.00009007232,0.000038445727,0.00028275483,0.0000238033,0.00011030538,0.000026799218,0.00018052734,3.8366768e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014617734,0.00016173943,0.0009073564,0.00035970373,0.00003977311,6.832566e-7,0.00054009125,0.8574865,0.002157952,0.13632312,0.0000016740131,0.0018752348],"study_design_scores_gemma":[0.0030921702,0.00016568338,0.00013423574,0.00033552694,0.00003583782,0.0000013210307,0.00017449279,0.950872,0.0070250253,0.038083594,0.0000064772075,0.00007361361],"about_ca_topic_score_codex":0.0000054504744,"about_ca_topic_score_gemma":1.0163154e-7,"teacher_disagreement_score":0.57062083,"about_ca_system_score_codex":0.000045476147,"about_ca_system_score_gemma":0.00003686786,"threshold_uncertainty_score":0.36730427},"labels":[],"label_agreement":null},{"id":"W4409787626","doi":"10.61091/jcmcc127a-332","title":"Stroke Structure Reconstruction and Virtual Display System Design for Calligraphic Seal Engraving Using Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Engraving; Seal (emblem); Computer graphics (images); Artificial intelligence; Computer science; Computer vision; Engineering drawing; Engineering; Art; Visual arts","score_opus":0.016285618465998516,"score_gpt":0.253655475039171,"score_spread":0.2373698565731725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5389715,0.00025026393,0.45284745,0.000017996672,0.00771222,0.00014051644,0.0000039632996,0.0000370013,0.000019099414],"genre_scores_gemma":[0.9783715,0.000026647438,0.020767177,0.0000040584646,0.00080522004,0.0000011567787,7.709255e-7,0.000022275111,0.0000012066965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998211,0.00007887282,0.0009695792,0.00017175604,0.00030332085,0.00026543863],"domain_scores_gemma":[0.99833727,0.00077285327,0.0003447375,0.0001208007,0.00027776056,0.00014656909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010812719,0.00024311178,0.0006547482,0.0003080659,0.0002882725,0.00024010813,0.0001767149,0.00016876475,9.975902e-7],"category_scores_gemma":[0.000321808,0.00022027652,0.00013409954,0.00029274268,0.00009372798,0.00013853979,0.000057978144,0.00042150688,8.5390134e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005761184,0.000077411685,0.00013508466,0.00092073664,0.0004372725,0.000009946592,0.0004938196,0.010784823,0.011793998,0.9523376,0.00002488403,0.022926804],"study_design_scores_gemma":[0.0006867877,0.00015254557,0.0000092092,0.0010055045,0.00033745286,0.00010001032,0.0010351348,0.7846953,0.0049855304,0.20676228,0.00001460413,0.00021558216],"about_ca_topic_score_codex":0.00000413674,"about_ca_topic_score_gemma":3.3752815e-7,"teacher_disagreement_score":0.7739105,"about_ca_system_score_codex":0.000099241675,"about_ca_system_score_gemma":0.00007579824,"threshold_uncertainty_score":0.89826155},"labels":[],"label_agreement":null},{"id":"W4409787628","doi":"10.61091/jcmcc127a-398","title":"Dynamic analysis of classroom engagement sentiment based on multilevel feature extraction and Transformer CNN-LSTM integrated model: personalized behavior prediction for non-English learners in a cross-modal adversarial learning framework","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Modal; Transformer; Artificial intelligence; Feature extraction; Sentiment analysis; Adversarial system; Multimodality; Feature learning; Deep learning; Natural language processing; Speech recognition; Engineering; World Wide Web","score_opus":0.010516974654820809,"score_gpt":0.30876226354433833,"score_spread":0.2982452888895175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787628","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4692542,0.000027749047,0.52740866,0.00012978607,0.0028190562,0.0002957769,0.0000061054016,0.000026041249,0.000032614607],"genre_scores_gemma":[0.94698364,0.000019278674,0.05279456,0.000015276597,0.00012819713,0.0000071589616,0.000010543943,0.000017385657,0.000023938537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975738,0.00017337462,0.0010053088,0.0003563848,0.0005968457,0.0002942867],"domain_scores_gemma":[0.99714243,0.0010486485,0.0008605654,0.00019758938,0.0006458858,0.000104874794],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021255075,0.0002953754,0.00086970924,0.0009102747,0.00028770958,0.000281235,0.00032571692,0.00030018462,0.0000013903574],"category_scores_gemma":[0.00076009094,0.00027573935,0.0003364725,0.0008983227,0.00007911416,0.00026218934,0.000070279486,0.001195628,6.071446e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001931501,0.0046042944,0.013220032,0.0009377197,0.001988067,0.000025692078,0.015388191,0.6328648,0.002639025,0.31295484,0.000050490034,0.013395362],"study_design_scores_gemma":[0.006317774,0.0007176337,0.0011468959,0.0006261191,0.00076912646,0.0000015609717,0.00069927034,0.96801585,0.00015240969,0.021303441,0.000047079833,0.00020284497],"about_ca_topic_score_codex":0.000008571063,"about_ca_topic_score_gemma":8.642333e-7,"teacher_disagreement_score":0.47772947,"about_ca_system_score_codex":0.00021652284,"about_ca_system_score_gemma":0.00026067218,"threshold_uncertainty_score":0.9999695},"labels":[],"label_agreement":null},{"id":"W4409787629","doi":"10.61091/jcmcc127a-363","title":"https://combinatorialpress.com/jcmcc-articles/volume-127a/semantic-segmentation-model-for-lane-lines-based-on-multi-scale-attention-mechanism/","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Computer science; Segmentation; Mechanism (biology); Volume (thermodynamics); Artificial intelligence; Cartography; Geography; Philosophy; Physics; Epistemology","score_opus":0.02362292531273408,"score_gpt":0.2742381136849938,"score_spread":0.2506151883722597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787629","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05193992,0.00012419121,0.9236308,0.000913543,0.021735994,0.00077405554,0.000016364353,0.00012975221,0.00073540065],"genre_scores_gemma":[0.9270312,0.000016511922,0.07187945,0.00024607335,0.0006579726,0.00002019807,0.000011087674,0.000045505876,0.00009198154],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958036,0.00013536931,0.0019375448,0.00063797145,0.0008187942,0.0006666993],"domain_scores_gemma":[0.9953302,0.0011292949,0.0013923845,0.0008030531,0.0010008625,0.00034416848],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0020101732,0.0005719198,0.0011267074,0.0005947544,0.0006252853,0.0011859746,0.0015993158,0.00030099985,0.000005079298],"category_scores_gemma":[0.0005486177,0.00054727483,0.0004413281,0.00069891446,0.00012474389,0.0009494425,0.0005226527,0.00057076046,0.00001154396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014344888,0.0017294935,0.00032915742,0.0003622096,0.0001417867,0.000015154734,0.0003397974,0.001193551,0.0004612673,0.9897245,0.001339864,0.0042197756],"study_design_scores_gemma":[0.0065073413,0.0005362555,0.000041268733,0.0004169953,0.00009232782,0.000012375928,0.00008585954,0.5570672,0.0008115349,0.43374372,0.00032828728,0.00035684166],"about_ca_topic_score_codex":0.000009240423,"about_ca_topic_score_gemma":8.655585e-7,"teacher_disagreement_score":0.8750913,"about_ca_system_score_codex":0.00019566374,"about_ca_system_score_gemma":0.00051908987,"threshold_uncertainty_score":0.99985087},"labels":[],"label_agreement":null},{"id":"W4409787631","doi":"10.61091/jcmcc127a-376","title":"Shortest Path Algorithm Based Cheerleading Formation Design and Movement Coordination Optimization in Colleges and Universities under Multi-Intelligent Body Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Movement (music); Shortest path problem; Computer science; Optimization algorithm; Algorithm; Artificial intelligence; Simulation; Human–computer interaction; Mathematical optimization; Theoretical computer science; Mathematics; Computer network; Physics","score_opus":0.018443366902845877,"score_gpt":0.2614941084362475,"score_spread":0.24305074153340162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06881896,0.00032632757,0.92843467,0.00064655504,0.0014724634,0.00025340356,5.9648283e-7,0.000018871586,0.000028152503],"genre_scores_gemma":[0.812738,0.000120551325,0.18702519,0.00004548506,0.00005134935,0.0000027786825,0.0000013861932,0.000006159466,0.00000909675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987418,0.000118286014,0.0005548029,0.00017910806,0.00024111888,0.00016488497],"domain_scores_gemma":[0.9986768,0.000575779,0.0004043037,0.000118880744,0.00016247948,0.000061778854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011590089,0.00016404544,0.00031156433,0.00038519723,0.00022819561,0.00015312218,0.00021491435,0.00012970228,0.0000013916659],"category_scores_gemma":[0.00005155352,0.00016516892,0.000031866344,0.00023576195,0.00007252713,0.0003710885,0.00016733946,0.00022412704,1.5478594e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024947027,0.0004916831,0.00024251123,0.00008621652,0.00004643214,0.000007154298,0.0010736013,0.021422762,0.00021484398,0.9729775,0.000034953708,0.0033773652],"study_design_scores_gemma":[0.0020244494,0.0002603466,0.0003874467,0.00023365545,0.000029249079,0.0000124980215,0.0014074941,0.8547756,0.00094375585,0.13974923,0.00003824025,0.00013802179],"about_ca_topic_score_codex":0.00000662052,"about_ca_topic_score_gemma":2.1610411e-7,"teacher_disagreement_score":0.83335286,"about_ca_system_score_codex":0.00021780685,"about_ca_system_score_gemma":0.0001680131,"threshold_uncertainty_score":0.6735393},"labels":[],"label_agreement":null},{"id":"W4409787632","doi":"10.61091/jcmcc127a-365","title":"Enterprise Financial Management Informatization Platform Based on Intelligent Decision Support System","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Enterprise Management and Information Systems","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Informatization; Decision support system; Business; Knowledge management; Process management; Intelligent decision support system; Engineering management; Computer science; Finance; Engineering; Artificial intelligence; World Wide Web","score_opus":0.009208884475494828,"score_gpt":0.22857893571367793,"score_spread":0.2193700512381831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787632","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18022226,0.00006820034,0.5327248,0.00024764915,0.062161215,0.0018553421,0.0000029435903,0.00027986924,0.22243771],"genre_scores_gemma":[0.99674237,0.000009721003,0.0016299604,0.00044251495,0.001114532,0.0000062126014,0.000007959231,0.000021376212,0.000025360343],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967816,0.000016142481,0.0018281587,0.00017956672,0.0008893645,0.0003051964],"domain_scores_gemma":[0.9973178,0.00022715592,0.0015716563,0.0002853378,0.00055676454,0.000041295785],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001937183,0.0003305198,0.00062849367,0.0012026433,0.00036317404,0.00083681196,0.00051273656,0.00013621608,0.000015685238],"category_scores_gemma":[0.0002494619,0.000286044,0.00021337206,0.000717973,0.00003745074,0.0010695267,0.00035798596,0.00028811596,0.000038888644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032482797,0.00029109494,0.00042186593,0.0017717509,0.00006353481,0.00001523175,0.00018093688,0.00074873783,0.0000024147412,0.97690517,0.0043069962,0.014967448],"study_design_scores_gemma":[0.01987435,0.0007168599,0.00081966876,0.010520418,0.0006123307,0.000022883813,0.0039137667,0.5899352,0.00017278947,0.23526494,0.13698313,0.0011636788],"about_ca_topic_score_codex":0.000005027051,"about_ca_topic_score_gemma":2.4986196e-7,"teacher_disagreement_score":0.8165201,"about_ca_system_score_codex":0.00019678503,"about_ca_system_score_gemma":0.000062895444,"threshold_uncertainty_score":0.9999592},"labels":[],"label_agreement":null},{"id":"W4409787634","doi":"10.61091/jcmcc127a-371","title":"Image Recognition-based Financial Reimbursement Voucher Preprocessing and Automatic Entry System","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Voucher; Preprocessor; Reimbursement; Computer science; Image (mathematics); Finance; Artificial intelligence; Business; Pattern recognition (psychology); Economics; World Wide Web","score_opus":0.011093476133203392,"score_gpt":0.2530106914765078,"score_spread":0.2419172153433044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9660469,0.0009131348,0.016329696,0.00005553315,0.013251698,0.00044504483,0.0000026481043,0.00018550633,0.002769805],"genre_scores_gemma":[0.99313545,0.000014738428,0.006016484,0.000009049595,0.00077350665,0.000007118828,0.0000011422891,0.000036600257,0.0000058926153],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976361,0.00011954662,0.001146937,0.00019856502,0.0005546228,0.00034425667],"domain_scores_gemma":[0.9980856,0.0006820374,0.00041003837,0.0002114748,0.00046405816,0.0001467498],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018393522,0.00027905428,0.0007072026,0.0003464297,0.00025493413,0.0003738377,0.00024629338,0.00018153,0.000004371114],"category_scores_gemma":[0.0005809435,0.0002690648,0.0001069871,0.00037043297,0.000079096804,0.00017027686,0.000109113964,0.0004892187,0.0000026184168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097535254,0.004357439,0.008480278,0.13936599,0.0035247945,0.0008810913,0.013420571,0.003060456,0.036255617,0.59435433,0.018695658,0.17662843],"study_design_scores_gemma":[0.014834072,0.00070020877,0.001008712,0.018638061,0.000489001,0.00022423826,0.0015445593,0.81465,0.009897047,0.13562973,0.001281355,0.0011030224],"about_ca_topic_score_codex":0.0000054098296,"about_ca_topic_score_gemma":2.27176e-7,"teacher_disagreement_score":0.81158954,"about_ca_system_score_codex":0.00024195795,"about_ca_system_score_gemma":0.00022384411,"threshold_uncertainty_score":0.99997616},"labels":[],"label_agreement":null},{"id":"W4409787636","doi":"10.61091/jcmcc127a-372","title":"A New Strategy of Artificial Intelligence-Based CARS Model Applied to Comparative Analysis of Medical Paper Abstracts in Chinese and English","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science","score_opus":0.03603146162842366,"score_gpt":0.3631956337950144,"score_spread":0.32716417216659077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98633474,0.0001712156,0.011258648,0.00018381064,0.0007752024,0.0003491871,0.000003150772,0.0000058150617,0.0009182568],"genre_scores_gemma":[0.9963351,0.000027445636,0.003429287,0.00002857865,0.00016504656,0.0000018481097,0.000002719101,0.0000075250578,0.0000024418282],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99668485,0.000063649015,0.0015431633,0.00019071515,0.0012722174,0.00024541796],"domain_scores_gemma":[0.9971274,0.0011221768,0.00053784496,0.00017156843,0.00053761294,0.0005033645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016627102,0.00020714845,0.0014793517,0.0007850605,0.000044273114,0.000038906164,0.00021465946,0.00018865347,0.000018839592],"category_scores_gemma":[0.0017270853,0.00015794854,0.00016700722,0.001215078,0.00011221837,0.000051904197,0.000119177304,0.00047494628,1.8940787e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030794102,0.004680903,0.003833356,0.0010424469,0.0029193475,0.00009541367,0.007218463,0.009667616,0.0014694541,0.94102204,0.00011971081,0.024851855],"study_design_scores_gemma":[0.012336103,0.002591809,0.009594414,0.0024930036,0.0018771733,0.000008780727,0.0022669397,0.3230675,0.0040517556,0.6413555,0.00002056888,0.00033648364],"about_ca_topic_score_codex":0.00008027568,"about_ca_topic_score_gemma":0.000014292882,"teacher_disagreement_score":0.31339985,"about_ca_system_score_codex":0.00006756101,"about_ca_system_score_gemma":0.0010441303,"threshold_uncertainty_score":0.6440954},"labels":[],"label_agreement":null},{"id":"W4409787637","doi":"10.61091/jcmcc127a-308","title":"Research on Energy Efficiency Regulation Strategy of Distributed Sensor Networks Based on Graph Optimization Algorithm in Intelligent Buildings","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Wireless Sensor Networks and IoT","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Distributed computing; Graph; Wireless sensor network; Optimization algorithm; Efficient energy use; Algorithm; Mathematical optimization; Theoretical computer science; Engineering; Computer network; Mathematics; Electrical engineering","score_opus":0.013848886942134896,"score_gpt":0.26239161789537935,"score_spread":0.24854273095324445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787637","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15579812,0.00026495053,0.8359519,0.000041069423,0.0069128457,0.00024118755,0.0000032141688,0.00004090017,0.00074576424],"genre_scores_gemma":[0.99603605,0.00010330677,0.003404733,0.000006347732,0.00041257043,0.0000016462178,0.000005796272,0.000027688679,0.0000018767852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976089,0.00016796567,0.0011009667,0.000180327,0.0006018938,0.0003399644],"domain_scores_gemma":[0.99775755,0.0010783823,0.0003563487,0.00020088122,0.0005167132,0.000090146445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001553483,0.00023396437,0.00059141987,0.00070331077,0.00013249816,0.00010773343,0.00024278126,0.00022723452,0.0000035457558],"category_scores_gemma":[0.00013229315,0.00022034999,0.00011500875,0.0012141354,0.00007359693,0.000069624504,0.00005028861,0.0006233326,1.3646493e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087726796,0.00035901027,0.000015560394,0.00008814916,0.000029203851,0.0000057668467,0.000046327983,0.82952094,0.00005226747,0.16481732,0.000118053256,0.004859657],"study_design_scores_gemma":[0.0019249443,0.0006008643,0.00006667729,0.0011530677,0.00002129665,0.000002587735,0.00013638716,0.95617515,0.0012469331,0.03845797,0.00005529214,0.00015881947],"about_ca_topic_score_codex":0.000011527066,"about_ca_topic_score_gemma":3.2846123e-7,"teacher_disagreement_score":0.8402379,"about_ca_system_score_codex":0.00018040968,"about_ca_system_score_gemma":0.00006463301,"threshold_uncertainty_score":0.8985612},"labels":[],"label_agreement":null},{"id":"W4409787639","doi":"10.61091/jcmcc127a-306","title":"A Study on the Construction of Knowledge Mapping of University Civic and Political Science Courses and the Relevance of Their Teaching Contents","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Relevance (law); Politics; Sociology; Mathematics education; Political science; Pedagogy; Engineering ethics; Engineering; Psychology","score_opus":0.028004487909940704,"score_gpt":0.31081038514508125,"score_spread":0.28280589723514055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927316,0.00009853024,0.00013277036,0.0010252655,0.0020322367,0.00024680886,0.0000010056024,0.0000034201337,0.0037283802],"genre_scores_gemma":[0.99968266,0.000022066724,0.00014850912,0.000012511441,0.00012577706,2.4336268e-7,2.879948e-8,0.000002194764,0.0000059923227],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983485,0.0005543884,0.00048771116,0.00009785487,0.00032324993,0.00018834064],"domain_scores_gemma":[0.9933255,0.005388216,0.0005514928,0.00009745782,0.0005596449,0.00007773291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005086911,0.00008900974,0.00041574243,0.000119227545,0.00056887144,0.000040524323,0.00026478907,0.000053265885,7.942747e-7],"category_scores_gemma":[0.004425261,0.000052458505,0.00005536293,0.0002962866,0.002360669,0.000083361505,0.00015200727,0.00027064478,3.1565722e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008706491,0.00033037993,0.0023410607,0.00005829789,0.000035415193,3.0275208e-7,0.012851527,2.8770424e-7,0.000098839715,0.9836507,0.0000048989054,0.00054121495],"study_design_scores_gemma":[0.0025257817,0.0004164316,0.0069082514,0.00055423856,0.00008610999,0.000004482377,0.09436763,0.00025300132,0.0003855326,0.89432925,0.0000998942,0.00006939133],"about_ca_topic_score_codex":0.00015415894,"about_ca_topic_score_gemma":0.0000020178688,"teacher_disagreement_score":0.08932146,"about_ca_system_score_codex":0.000052824045,"about_ca_system_score_gemma":0.00026837172,"threshold_uncertainty_score":0.8697983},"labels":[],"label_agreement":null},{"id":"W4409787640","doi":"10.61091/jcmcc127a-399","title":"Analysis of multipath effects in global trade networks based on multimodal, high-dimensional, heterogeneous Transformer structures: deconstruction of nonlinear cascades and dynamic chain reactions","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nonlinear system; Deconstruction (building); Transformer; Computer science; Electronic engineering; Engineering; Physics; Electrical engineering; Quantum mechanics","score_opus":0.004352142653460466,"score_gpt":0.2582691472555364,"score_spread":0.25391700460207595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94431496,0.00013359023,0.054000385,0.00003110906,0.0012015146,0.00026102466,0.000013223797,0.000010746713,0.000033438435],"genre_scores_gemma":[0.9923777,0.0000101814985,0.0074571003,0.0000068057966,0.00012395647,0.0000024028109,0.000008927812,0.000012585703,3.2987774e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978001,0.0001584639,0.001270793,0.0002234207,0.0003321961,0.00021502393],"domain_scores_gemma":[0.9976243,0.0008940463,0.0010157347,0.00020189202,0.0001815149,0.000082516075],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006219854,0.00026953482,0.0011760714,0.00057868374,0.00011641844,0.000042111507,0.0001733036,0.00013193316,0.000003871668],"category_scores_gemma":[0.000055696637,0.00024688704,0.0003392589,0.0010073818,0.00011578804,0.00007010512,0.00004374982,0.0003410281,1.705147e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081386167,0.0030664783,0.035701517,0.00069674215,0.004495783,0.000016122784,0.00057523046,0.40829474,0.0016980148,0.5131506,0.000015055914,0.031475876],"study_design_scores_gemma":[0.0033086583,0.0003626106,0.0044048713,0.0005269889,0.0010597542,0.0000039613674,0.00008698354,0.8799952,0.0009429707,0.10912489,0.000004578093,0.00017848129],"about_ca_topic_score_codex":0.00014755975,"about_ca_topic_score_gemma":0.0000079892925,"teacher_disagreement_score":0.4717005,"about_ca_system_score_codex":0.00008789752,"about_ca_system_score_gemma":0.00008813606,"threshold_uncertainty_score":0.99999833},"labels":[],"label_agreement":null},{"id":"W4409787641","doi":"10.61091/jcmcc127a-377","title":"A Computational Simulation Study of the Relationship Between Clarinet Technique and Symphonic Concerto in a Music Education Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Symphony; Concerto; Art; Literature; Art history; Piano","score_opus":0.02327241245643729,"score_gpt":0.2833129296504412,"score_spread":0.2600405171940039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94291735,0.00017062617,0.05424485,0.00018610491,0.0018403728,0.000524514,3.3235523e-7,0.000013611434,0.00010222778],"genre_scores_gemma":[0.99648595,0.0000032141554,0.0034001959,0.000014775899,0.00008088759,0.000006919059,1.995867e-7,0.0000048500438,0.0000030351002],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983671,0.00017914464,0.00083603757,0.00017022515,0.0003246352,0.0001228658],"domain_scores_gemma":[0.99720407,0.0017041973,0.0006718333,0.00023470701,0.00015389554,0.000031311673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011028142,0.00014157082,0.0004145394,0.00025636944,0.00023624179,0.00006215494,0.00040624395,0.00012450597,3.8743988e-7],"category_scores_gemma":[0.0004643069,0.000114161296,0.00005089048,0.00044692558,0.00009846185,0.00014105337,0.00045196185,0.00038507086,9.841869e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014224502,0.0007903454,0.121871606,0.00009023237,0.000055535198,0.0000012153074,0.003445277,0.0023251048,0.000009378945,0.86996496,0.000020061718,0.0014120358],"study_design_scores_gemma":[0.0020661275,0.00030640187,0.119542696,0.00028642293,0.000044731652,0.000007482888,0.00057734875,0.014365085,0.000015067995,0.86265635,0.000034080294,0.000098174314],"about_ca_topic_score_codex":0.000015757061,"about_ca_topic_score_gemma":0.0000013969025,"teacher_disagreement_score":0.053568564,"about_ca_system_score_codex":0.000094198636,"about_ca_system_score_gemma":0.0001971071,"threshold_uncertainty_score":0.46553624},"labels":[],"label_agreement":null},{"id":"W4409787643","doi":"10.61091/jcmcc127a-368","title":"Hydrochemical processes and evolutionary mechanisms of groundwater and surface water in the Anlecun mining area: a computational study based on multivariate statistical analysis and isotope techniques","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Groundwater; Multivariate statistics; Multivariate analysis; Surface water; Environmental science; Isotope analysis; Statistical analysis; Hydrology (agriculture); Geology; Statistics; Mathematics; Environmental engineering; Geotechnical engineering; Oceanography","score_opus":0.009238524680569255,"score_gpt":0.24736684118320923,"score_spread":0.23812831650263996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9013346,0.000080056416,0.09798636,0.00009912733,0.00020150049,0.00022951994,0.000002241827,0.000016464544,0.00005016745],"genre_scores_gemma":[0.9910407,0.00001339885,0.0088749295,0.00001640128,0.000035556463,0.0000035108844,0.00000392995,0.0000108067625,7.391186e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848723,0.00013583543,0.0007074853,0.00016558975,0.000346639,0.00015722684],"domain_scores_gemma":[0.9985734,0.00091552077,0.00015641542,0.00009893445,0.00019523605,0.000060450915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010291787,0.00019423639,0.00059137517,0.0003593753,0.0001211433,0.0001209861,0.00012499656,0.00008979073,0.0000018821138],"category_scores_gemma":[0.0001596511,0.00012916977,0.00004792889,0.00047391307,0.000079528574,0.000094508825,0.00008203636,0.0002472454,3.617702e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030475713,0.020226732,0.074087076,0.010754346,0.012532089,0.0004127483,0.09721261,0.2832329,0.02610094,0.4662046,0.00037806528,0.0058103227],"study_design_scores_gemma":[0.002491181,0.00060413923,0.0009889394,0.00024221747,0.0005149281,0.000011154418,0.0017167608,0.84673834,0.0013926388,0.14509623,0.000006216248,0.00019722879],"about_ca_topic_score_codex":0.000017927732,"about_ca_topic_score_gemma":0.0000032082403,"teacher_disagreement_score":0.5635055,"about_ca_system_score_codex":0.000030286223,"about_ca_system_score_gemma":0.00003611216,"threshold_uncertainty_score":0.52673906},"labels":[],"label_agreement":null},{"id":"W4409787645","doi":"10.61091/jcmcc127a-326","title":"Application of Artificial Intelligence Technology in Enhancing the Effectiveness of Production-oriented Approach to Literacy Instruction and Instructional Design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Literacy; Computer science; Instructional design; Mathematics education; Engineering management; Multimedia; Engineering; Psychology; Pedagogy; Economics","score_opus":0.014659979490053364,"score_gpt":0.2904214778986003,"score_spread":0.2757614984085469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787645","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4408149,0.000049653623,0.55538636,0.00010145355,0.0032923045,0.00032720194,1.2764964e-7,0.00000785291,0.000020133928],"genre_scores_gemma":[0.91782975,0.000008213989,0.081992105,0.000002716678,0.00015019844,0.000010698247,2.252893e-7,0.000005795441,3.0364401e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978093,0.00025927287,0.0012118672,0.00024255067,0.00032531767,0.00015167368],"domain_scores_gemma":[0.99692327,0.001064273,0.00078794116,0.00026831098,0.0009151405,0.000041066545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034495315,0.00014545165,0.00042614416,0.0006490656,0.00014290803,0.00006614217,0.0004504883,0.000110922454,1.2783377e-7],"category_scores_gemma":[0.0014897657,0.00012346353,0.00004653946,0.0017458677,0.0001638301,0.00029301556,0.00021892914,0.000295327,1.5830909e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001086024,0.00038062915,0.00027735098,0.000206705,0.000024419789,1.9660584e-7,0.0015836547,0.0024261791,0.00856573,0.94182223,8.2838716e-7,0.04460348],"study_design_scores_gemma":[0.00018919194,0.00022123872,0.00052114704,0.0004192409,0.00001800536,0.000030568463,0.0007271562,0.057498954,0.10176119,0.83851564,0.00000798103,0.0000896992],"about_ca_topic_score_codex":0.0000175519,"about_ca_topic_score_gemma":4.0367473e-7,"teacher_disagreement_score":0.4770148,"about_ca_system_score_codex":0.00009598542,"about_ca_system_score_gemma":0.00019786648,"threshold_uncertainty_score":0.50346965},"labels":[],"label_agreement":null},{"id":"W4409787646","doi":"10.61091/jcmcc127a-266","title":"Research on Syntactic Optimization and Semantic Reconstruction Strategies for English Translation Based on Machine Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Natural language processing; Artificial intelligence; Translation (biology); Machine translation; Chemistry","score_opus":0.023560382792047026,"score_gpt":0.31565830878664125,"score_spread":0.2920979259945942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787646","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028956255,0.00049860205,0.9638982,0.0003589538,0.0052845054,0.00042160222,6.6809685e-7,0.0001195583,0.00046167255],"genre_scores_gemma":[0.8095562,0.000020717958,0.19011717,0.000019827432,0.0002673016,0.0000035748533,8.961706e-7,0.000012341603,0.000002014329],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819493,0.00023493065,0.0005905842,0.0002529611,0.0004962663,0.00023033563],"domain_scores_gemma":[0.99598813,0.0023763475,0.00047739877,0.00017446201,0.000915773,0.00006789453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027249956,0.00018572343,0.00038508745,0.00060827885,0.000488662,0.0007283805,0.00034055274,0.00015616966,6.8945167e-7],"category_scores_gemma":[0.0009034542,0.00016420317,0.00007248258,0.0005268681,0.00006369009,0.00044873476,0.00007759966,0.00071484473,9.167102e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014116256,0.0001887063,0.00002246542,0.00036627962,0.00002909401,0.0000033584654,0.00067713374,0.0052804803,0.00019675719,0.9784449,0.000018449186,0.014631239],"study_design_scores_gemma":[0.0015053028,0.0008948446,0.0000025087165,0.00080965663,0.000022154587,0.000010260598,0.00021046573,0.54534185,0.00087709725,0.45017663,0.0000422237,0.00010702058],"about_ca_topic_score_codex":0.0000044510693,"about_ca_topic_score_gemma":2.3136323e-7,"teacher_disagreement_score":0.7805999,"about_ca_system_score_codex":0.00009343568,"about_ca_system_score_gemma":0.0001973481,"threshold_uncertainty_score":0.70237905},"labels":[],"label_agreement":null},{"id":"W4409787647","doi":"10.61091/jcmcc127a-274","title":"Research on regional economic high-quality development and fiscal policy regulation path based on data mining","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Quality (philosophy); Fiscal policy; Business; Economics; Macroeconomics; Computer science","score_opus":0.07904568407126918,"score_gpt":0.3508118623538676,"score_spread":0.2717661782825984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858186,0.000024632467,0.0008723263,0.0056746798,0.0031751697,0.00021427916,0.0000020440555,0.00004267141,0.0041756],"genre_scores_gemma":[0.9951457,0.0000034941288,0.002582572,0.00036906087,0.0018482988,0.0000023678333,0.000017813441,0.000018353647,0.000012342011],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978908,0.000061612336,0.00095322734,0.00029789997,0.00051251776,0.00028398487],"domain_scores_gemma":[0.99738,0.0010741667,0.0007373112,0.00042552233,0.0003558061,0.000027157996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003937846,0.00020806228,0.00045804316,0.0011095436,0.0006480647,0.0003659809,0.0005373244,0.00018515678,0.0000052623227],"category_scores_gemma":[0.0007428113,0.00019193295,0.000043483906,0.00063110923,0.00016831016,0.0003397707,0.0005263684,0.00055550534,0.000005153161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091213726,0.00030832272,0.001040825,0.00015110958,0.000048453374,0.0000036204303,0.000055493936,0.000054853022,0.00002864461,0.989907,0.0031478207,0.0051626214],"study_design_scores_gemma":[0.0055811275,0.00025710594,0.010951686,0.0012428052,0.00006083652,0.0000056047797,0.0007851358,0.029918252,0.00018547407,0.93992525,0.0107278945,0.00035881664],"about_ca_topic_score_codex":0.00006767852,"about_ca_topic_score_gemma":0.0000028748075,"teacher_disagreement_score":0.049981758,"about_ca_system_score_codex":0.00015418133,"about_ca_system_score_gemma":0.00023945891,"threshold_uncertainty_score":0.78267986},"labels":[],"label_agreement":null},{"id":"W4409787650","doi":"10.61091/jcmcc127a-404","title":"The Impact of Digital Transformation on Corporate Innovation Performance","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Digital transformation; Business; Industrial organization; Computer science; Chemistry; World Wide Web","score_opus":0.014870481870595077,"score_gpt":0.23400221174489133,"score_spread":0.21913172987429624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99095255,0.000013163026,0.000881121,0.00009101387,0.0029968263,0.00012932924,8.24499e-7,0.0000053646568,0.004929795],"genre_scores_gemma":[0.9997301,0.000022398262,0.00014152903,0.0000060262782,0.000079322905,7.684534e-7,8.4455843e-7,0.000006181869,0.000012834083],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99866235,0.000018253266,0.0008598552,0.000078401084,0.00023636981,0.00014476507],"domain_scores_gemma":[0.9984872,0.00021774044,0.0010336435,0.00010708399,0.0001225214,0.000031832464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009836521,0.0001279728,0.00028127912,0.00009131752,0.00022334755,0.00013702425,0.00020893932,0.00005464541,0.000007926739],"category_scores_gemma":[0.00012404169,0.00008364806,0.0000744241,0.00041407635,0.000089398374,0.00028066602,0.000082312625,0.00016174895,0.0000031779232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005017063,0.0007227641,0.017757332,0.000146007,0.00020796893,0.0000019724944,0.0016434402,0.004724926,0.000649907,0.8995647,0.0010207419,0.07305856],"study_design_scores_gemma":[0.005572126,0.0014682569,0.04391009,0.0005717403,0.000053887652,0.000027602337,0.0004017649,0.04147091,0.0022312081,0.90294015,0.0009969836,0.00035527156],"about_ca_topic_score_codex":0.0000060657476,"about_ca_topic_score_gemma":1.0227557e-7,"teacher_disagreement_score":0.072703294,"about_ca_system_score_codex":0.00015376705,"about_ca_system_score_gemma":0.00007208915,"threshold_uncertainty_score":0.3411069},"labels":[],"label_agreement":null},{"id":"W4409787651","doi":"10.61091/jcmcc127a-388","title":"Research on AI music generation and melody optimization based on topological sorting algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sorting; Computer science; Topological sorting; Algorithm; Sorting algorithm; Optimization algorithm; Topology (electrical circuits); Mathematics; Mathematical optimization; Combinatorics","score_opus":0.04077712358545726,"score_gpt":0.32320713261745804,"score_spread":0.2824300090320008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787651","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12811579,0.0002571603,0.8542676,0.0024496545,0.012093754,0.0003316354,5.7230693e-7,0.00009035198,0.0023934587],"genre_scores_gemma":[0.9586229,0.000026055546,0.04049987,0.00022816606,0.0006033554,0.000003363702,4.498709e-7,0.000008731586,0.0000071075374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99775,0.0002711524,0.0007272012,0.00031184815,0.0006301434,0.00030968024],"domain_scores_gemma":[0.99734783,0.0012618718,0.00040134697,0.00028736927,0.00061871245,0.00008287304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030799382,0.00020699447,0.00049506786,0.00052196335,0.0008483428,0.00035440494,0.0004713442,0.00023281688,0.000002404751],"category_scores_gemma":[0.0007892603,0.00017072377,0.000076675744,0.00062107487,0.0001654451,0.00016730661,0.00034750334,0.0008322957,6.834917e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025805659,0.0003485243,0.000033214095,0.000037959377,0.000037969236,0.000015851476,0.00036358484,0.0027446186,0.000034552868,0.98600984,0.0005249808,0.0098231],"study_design_scores_gemma":[0.001688381,0.0009458201,0.00003692199,0.00020174976,0.000016857477,0.000010165336,0.00015178225,0.62089944,0.00023711148,0.37549198,0.00019303885,0.00012672335],"about_ca_topic_score_codex":0.0000033093293,"about_ca_topic_score_gemma":2.3125982e-7,"teacher_disagreement_score":0.8305071,"about_ca_system_score_codex":0.000090268644,"about_ca_system_score_gemma":0.00013737357,"threshold_uncertainty_score":0.6961913},"labels":[],"label_agreement":null},{"id":"W4409787652","doi":"10.61091/jcmcc127a-381","title":"Research on Medical Image Processing Combining Edge Detection and Morphological Features in Deep Learning Framework","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Image processing; Enhanced Data Rates for GSM Evolution; Edge detection; Deep learning; Pattern recognition (psychology); Computer vision; Image (mathematics)","score_opus":0.02110760843025374,"score_gpt":0.3177798449459182,"score_spread":0.2966722365156645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847634,0.00033598268,0.004639478,0.0018267793,0.003699409,0.00022543306,9.461672e-8,0.000074913936,0.0044345404],"genre_scores_gemma":[0.9975483,0.000032397867,0.0011120905,0.0001999746,0.001074857,0.0000045678316,8.1609517e-7,0.000022186114,0.0000048239463],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976234,0.00009470201,0.0008811562,0.0002696845,0.000731181,0.0003999132],"domain_scores_gemma":[0.99727345,0.0012763555,0.0005674875,0.00015107534,0.0006949124,0.000036734844],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0043013534,0.00023199306,0.0005772025,0.0012248129,0.0007077437,0.0005294229,0.0003957297,0.00046711578,0.000009227911],"category_scores_gemma":[0.004018092,0.00020440324,0.000067607514,0.001616611,0.00033985727,0.0003941434,0.0004913216,0.0027941114,0.0000031611073],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010672243,0.00044620587,0.0017302965,0.0002815763,0.000032030854,0.000081028535,0.00021086664,0.000013482935,0.00030667058,0.97794837,0.000094238116,0.018748488],"study_design_scores_gemma":[0.0032238883,0.00028526792,0.002947382,0.002051237,0.000049186478,0.00006858631,0.0026762863,0.0113768205,0.00020810934,0.9760547,0.0008019466,0.0002565582],"about_ca_topic_score_codex":0.00003153044,"about_ca_topic_score_gemma":0.000004416797,"teacher_disagreement_score":0.01849193,"about_ca_system_score_codex":0.000075545264,"about_ca_system_score_gemma":0.00007123575,"threshold_uncertainty_score":0.9995065},"labels":[],"label_agreement":null},{"id":"W4409787653","doi":"10.61091/jcmcc127a-411","title":"Research on the Emergence of Herd Behavior of Tradable Green Certificate Transaction Subjects based on system dynamics","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Certificate; Database transaction; Herd; Business; Herd behavior; Dynamics (music); System dynamics; Computer science; Ecology; Geography; Biology; Psychology; Database; Forestry","score_opus":0.07259504190925531,"score_gpt":0.32562153710407266,"score_spread":0.25302649519481735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97954464,0.000055952132,0.001655953,0.0011839682,0.00698004,0.00052268116,0.0000022843562,0.000012465687,0.010042006],"genre_scores_gemma":[0.9995116,0.00003499093,0.00021460147,0.000007099078,0.00017685063,0.0000043495274,4.965499e-7,0.0000104335295,0.00003957027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970577,0.00041639947,0.0008261551,0.00014106384,0.0013152359,0.00024347701],"domain_scores_gemma":[0.99730384,0.001432894,0.0006208157,0.00018461648,0.0003796854,0.00007813581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004731747,0.0001386999,0.00042630357,0.00025168233,0.0005029656,0.000049639162,0.00043410645,0.00012971541,0.000009112979],"category_scores_gemma":[0.0001553135,0.00010362001,0.00014071028,0.00056814606,0.00025172482,0.00006649598,0.000036097346,0.00039530438,7.7559105e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001945223,0.000652814,0.00032480952,0.0002318022,0.00004726069,0.000004093018,0.0015281836,0.00024833906,0.00023337772,0.9952297,0.00014074382,0.0011643491],"study_design_scores_gemma":[0.012590799,0.0062142536,0.00958401,0.01110168,0.00074459304,0.000013092003,0.08867423,0.08174281,0.021929301,0.7635826,0.002577447,0.0012452092],"about_ca_topic_score_codex":0.00015739935,"about_ca_topic_score_gemma":0.000006312091,"teacher_disagreement_score":0.23164713,"about_ca_system_score_codex":0.0002179041,"about_ca_system_score_gemma":0.00027890803,"threshold_uncertainty_score":0.42255017},"labels":[],"label_agreement":null},{"id":"W4409787654","doi":"10.61091/jcmcc127a-303","title":"Efficient numerical simulation and method optimization for pressure distribution calculation in petroleum seepage field","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer simulation; Distribution (mathematics); Petroleum engineering; Field (mathematics); Petroleum; Geology; Computer science; Mathematics; Simulation; Mathematical analysis","score_opus":0.009678930476153027,"score_gpt":0.29470050824370003,"score_spread":0.285021577767547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787654","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14877324,0.00024281595,0.8479011,0.00003867894,0.0027563926,0.00019652738,0.0000020755149,0.000031437394,0.00005772667],"genre_scores_gemma":[0.934264,0.000007842168,0.06548741,0.0000037001678,0.0002137751,0.0000027488545,0.0000038201706,0.000014235953,0.0000024428855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988106,0.00007410193,0.0006534823,0.00011403384,0.00019126704,0.00015652749],"domain_scores_gemma":[0.99800205,0.0014819535,0.00017643996,0.00008975901,0.00019238186,0.00005743601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011690826,0.00014959279,0.00038871667,0.00016541888,0.00008629789,0.000090033034,0.00008113149,0.00014843582,0.0000012573828],"category_scores_gemma":[0.00069296703,0.00014800201,0.00006635042,0.00023472607,0.0000098829705,0.00006982396,0.000035834502,0.00022536202,3.946462e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005109356,0.00005625433,0.00011467914,0.0003122608,0.000038364342,7.070221e-7,0.00016344871,0.95696735,0.00004682089,0.041127883,0.000024809893,0.0010963543],"study_design_scores_gemma":[0.002471959,0.00010919017,0.00016703973,0.00019415386,0.00006123775,0.0000029056946,0.000030209238,0.9775352,0.00016814208,0.018897993,0.00024129049,0.000120664205],"about_ca_topic_score_codex":0.0000021250612,"about_ca_topic_score_gemma":4.6217437e-8,"teacher_disagreement_score":0.7854908,"about_ca_system_score_codex":0.0000518298,"about_ca_system_score_gemma":0.000022877246,"threshold_uncertainty_score":0.6035347},"labels":[],"label_agreement":null},{"id":"W4409787656","doi":"10.61091/jcmcc127a-307","title":"Principal Component Analysis Algorithm and Spatial Mapping Construction for Feature Extraction of University Language Text Data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Principal component analysis; Computer science; Artificial intelligence; Component (thermodynamics); Natural language processing; Pattern recognition (psychology); Feature (linguistics); Spatial analysis; Feature extraction; Information retrieval; Algorithm; Data mining; Geography; Remote sensing; Linguistics","score_opus":0.015127005168352674,"score_gpt":0.29074729458691156,"score_spread":0.2756202894185589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787656","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038519885,0.00011942559,0.9593817,0.00024622903,0.0013797461,0.00023746489,0.000017825063,0.000028895332,0.0000688125],"genre_scores_gemma":[0.5624183,0.000023448678,0.4373852,0.000007862594,0.0001468755,5.2055384e-7,0.000009395475,0.000004454421,0.000003933276],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877954,0.000062490915,0.0005210889,0.00024461155,0.0002580553,0.00013422921],"domain_scores_gemma":[0.99760187,0.0007053628,0.0008682478,0.0003202634,0.00043757606,0.00006669296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008407732,0.00014142835,0.00047804197,0.0003513331,0.00022715873,0.000094397285,0.0005607201,0.00009429522,3.7530654e-7],"category_scores_gemma":[0.00012066819,0.00014196594,0.000103150895,0.00063740456,0.00007349417,0.0002896027,0.0004604986,0.00020716005,4.513495e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037695947,0.00022813871,0.000120718156,0.00012252656,0.00035014033,0.0000041676003,0.00039621157,0.0002050292,0.00077381753,0.9418651,0.000059901806,0.05583656],"study_design_scores_gemma":[0.0023299982,0.00020412423,0.0013571694,0.00016721855,0.0003698834,0.00004557086,0.0004547902,0.673498,0.00092658534,0.31868568,0.0017503293,0.00021065002],"about_ca_topic_score_codex":0.000020170693,"about_ca_topic_score_gemma":7.406531e-7,"teacher_disagreement_score":0.67329293,"about_ca_system_score_codex":0.00005692727,"about_ca_system_score_gemma":0.00010223574,"threshold_uncertainty_score":0.5789203},"labels":[],"label_agreement":null},{"id":"W4409787657","doi":"10.61091/jcmcc127a-301","title":"A study on the shortest path algorithm for vocal skill mastery path in practical teaching innovation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Shortest path problem; Computer science; Algorithm; Mathematics education; Psychology; Theoretical computer science; Computer network","score_opus":0.03795584202115355,"score_gpt":0.3506669309483489,"score_spread":0.31271108892719535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62875634,0.00004286634,0.35468522,0.0035921435,0.011640996,0.0007437452,0.0000011502098,0.000039331215,0.0004982336],"genre_scores_gemma":[0.9680855,0.000002998172,0.031179305,0.00017023663,0.0005247042,0.000015344604,7.051417e-7,0.000011508697,0.000009645315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976457,0.000259295,0.0011038755,0.0002654946,0.000445691,0.00027994878],"domain_scores_gemma":[0.99463373,0.003798772,0.00070902845,0.0003382848,0.00047345317,0.000046738067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004762228,0.00022173235,0.00048749312,0.00044133802,0.00037231232,0.00025593644,0.00068742054,0.00016550289,8.020414e-7],"category_scores_gemma":[0.002095868,0.0001658181,0.0000840314,0.0006847094,0.00006177124,0.0002588098,0.00028831995,0.0009894463,7.481581e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002533276,0.0019139847,0.00066855084,0.000018607194,0.000059151822,0.000017611053,0.0021087572,0.000007099242,0.000025614521,0.98607385,0.0003700383,0.008711422],"study_design_scores_gemma":[0.0030598855,0.0015756005,0.0013915912,0.000360467,0.0000408275,0.00006406704,0.0030144325,0.030359771,0.000100668134,0.9593877,0.00044366057,0.00020130462],"about_ca_topic_score_codex":0.0000039162264,"about_ca_topic_score_gemma":3.0537765e-7,"teacher_disagreement_score":0.33932924,"about_ca_system_score_codex":0.000103888175,"about_ca_system_score_gemma":0.00039128616,"threshold_uncertainty_score":0.67618656},"labels":[],"label_agreement":null},{"id":"W4409787659","doi":"10.61091/jcmcc127a-353","title":"Multivariate Calculation of Psychological Carrying Capacity of Ecotourism Community Residents Based on Interactive Emotional Cognitive Framework","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Jilin Office of Philosophy and Social Science; Shanxi Scholarship Council of China","keywords":"Multivariate statistics; Multivariate analysis; Cognition; Psychology; Applied psychology; Statistics; Mathematics; Psychiatry","score_opus":0.027902600992845115,"score_gpt":0.33193758225443026,"score_spread":0.3040349812615851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787659","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48360947,0.000015242221,0.5112676,0.00008047657,0.004396742,0.00017597803,0.0000022142283,0.000028444647,0.00042387273],"genre_scores_gemma":[0.93769526,0.0000043032805,0.062145013,0.000034732235,0.00010780776,0.0000017589504,7.1049186e-7,0.00000963696,7.899393e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99729955,0.0004284632,0.0012178718,0.00021551512,0.00061385,0.00022477462],"domain_scores_gemma":[0.9915751,0.005258081,0.0017966649,0.00044741825,0.00085647026,0.00006621623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016306826,0.00024405216,0.0007701164,0.00040424406,0.0002743124,0.000063194464,0.00095453,0.0003523915,0.0000018172694],"category_scores_gemma":[0.0042653778,0.00022188661,0.00019032328,0.00052527257,0.00021192887,0.00023609873,0.00051920966,0.0015200604,2.563115e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020381255,0.0015131444,0.000842705,0.0001936489,0.000114482056,0.000007732904,0.0014683263,0.0006926031,0.0005214927,0.99289954,0.000021393573,0.0015211264],"study_design_scores_gemma":[0.002943038,0.0012329061,0.0045999,0.0024457735,0.00004939302,0.000010894003,0.0002757778,0.042332076,0.00545216,0.94048536,0.0000024153644,0.00017032186],"about_ca_topic_score_codex":0.00003077693,"about_ca_topic_score_gemma":3.546716e-7,"teacher_disagreement_score":0.4540858,"about_ca_system_score_codex":0.00015424243,"about_ca_system_score_gemma":0.000100499165,"threshold_uncertainty_score":0.90482736},"labels":[],"label_agreement":null},{"id":"W4409787660","doi":"10.61091/jcmcc127a-286","title":"https://combinatorialpress.com/jcmcc-articles/volume-127a/research-on-green-logistics-network-planning-strategy-combining-machine-learning-and-carbon-emission-constraints/","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Transportation Systems and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Computer science; Carbon fibers; Artificial intelligence; Algorithm; Physics","score_opus":0.028957925486142424,"score_gpt":0.2946699779649209,"score_spread":0.2657120524787785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86378664,0.0057788165,0.03990667,0.00054356665,0.06512035,0.0016440605,0.000025893221,0.000825218,0.022368805],"genre_scores_gemma":[0.9970587,0.00012565998,0.0008129317,0.00002281965,0.0017763622,0.000008644649,0.000005275562,0.000088997345,0.000100630095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9950098,0.00036858034,0.0020845341,0.00045570862,0.0011654799,0.00091591576],"domain_scores_gemma":[0.99531466,0.0022330638,0.00071928516,0.00036474573,0.0008954363,0.00047282915],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003924461,0.00063292467,0.0013844892,0.0005811634,0.00070595794,0.0005704876,0.00058597466,0.00049823767,0.000020086916],"category_scores_gemma":[0.0006251256,0.0005952622,0.00022140332,0.00090398785,0.0004973054,0.0001669428,0.00019147646,0.0023226934,0.0000043174678],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027248426,0.0007636522,0.006551653,0.0012921079,0.00067347504,0.00021399914,0.0016037835,0.017796872,0.00041285428,0.96185994,0.0029227284,0.0056364583],"study_design_scores_gemma":[0.010415436,0.0021985443,0.00066188845,0.0030893793,0.00035864502,0.00010488515,0.0012113141,0.37382343,0.00045465198,0.59699464,0.009520926,0.0011662601],"about_ca_topic_score_codex":0.000047219874,"about_ca_topic_score_gemma":6.549155e-7,"teacher_disagreement_score":0.3648653,"about_ca_system_score_codex":0.00017285428,"about_ca_system_score_gemma":0.00024235612,"threshold_uncertainty_score":0.99997896},"labels":[],"label_agreement":null},{"id":"W4409787663","doi":"10.61091/jcmcc127a-412","title":"Network Pharmacology and Integrated Molecular Docking Study on the Mechanism of the Protective Effect of Litchi Seed in Skin Photoaging","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Food Quality and Safety Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photoaging; Mechanism (biology); Pharmacology; Docking (animal); Chemistry; Computational biology; Biology; Medicine; Dermatology; Physics","score_opus":0.0119856605099556,"score_gpt":0.25868900691762314,"score_spread":0.24670334640766756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959686,0.00016565005,0.000031512885,0.000502613,0.0024594904,0.0007664345,0.000001096261,0.000004863429,0.00009976282],"genre_scores_gemma":[0.99978715,0.000007245528,0.000017962895,0.00003465752,0.0001455477,0.0000052182436,1.09853325e-7,0.0000015681496,5.399315e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979136,0.0007883305,0.00069988455,0.000132945,0.00029221916,0.00017299374],"domain_scores_gemma":[0.99637055,0.0026694993,0.0006899025,0.000060726623,0.00018357887,0.00002574474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003005832,0.0001705139,0.0006203946,0.000033597436,0.0002442976,0.000034343142,0.00029969076,0.00007676335,0.0000011457594],"category_scores_gemma":[0.00046164027,0.000059567195,0.00011004913,0.0005323159,0.00009628933,0.000033226046,0.00026964804,0.0004370036,3.606168e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015434915,0.0018103702,0.0077331667,0.00039542126,0.0007786144,0.000015339983,0.007769151,0.0003225882,0.07030395,0.9055523,0.000045802208,0.0037297541],"study_design_scores_gemma":[0.0065793074,0.007572167,0.018906528,0.002103587,0.00034051892,0.000011718185,0.008380679,0.002996256,0.06528919,0.88747656,0.000042214473,0.00030129388],"about_ca_topic_score_codex":0.000065436594,"about_ca_topic_score_gemma":0.000005458544,"teacher_disagreement_score":0.018075818,"about_ca_system_score_codex":0.000029423814,"about_ca_system_score_gemma":0.000022168697,"threshold_uncertainty_score":0.24290797},"labels":[],"label_agreement":null},{"id":"W4409787664","doi":"10.61091/jcmcc127a-283","title":"Generative Artificial Intelligence for Panoramic Sensing and Prediction Techniques in Novel Power Distribution Systems","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Generative grammar; Computer science; Generative model; Machine learning; Pattern recognition (psychology)","score_opus":0.01396145559223495,"score_gpt":0.2461807442132768,"score_spread":0.23221928862104185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787664","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35139278,0.000580254,0.63677865,0.000047583857,0.010577025,0.00040583,0.000011931787,0.00010366111,0.000102315535],"genre_scores_gemma":[0.9959557,0.00003598992,0.0037035935,0.0000020137427,0.00028108314,0.000003589965,0.0000021089895,0.0000148354875,0.0000010513143],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99857557,0.00002476876,0.0009083428,0.00012960794,0.00016375599,0.00019794679],"domain_scores_gemma":[0.9990373,0.00031241684,0.00026419683,0.00010427576,0.0002425266,0.0000392508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090013864,0.00018210997,0.00048462386,0.00020706053,0.000114439856,0.00019202156,0.00011301223,0.00019339377,1.1108799e-7],"category_scores_gemma":[0.00026288014,0.00017047962,0.000055359043,0.00024456013,0.000053257252,0.00012478513,0.00006629199,0.00027934098,6.331279e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003558884,0.0001140413,0.000048568992,0.0004132042,0.00007721008,0.0000037412758,0.0005090065,0.00047548336,0.0046963166,0.98520434,0.000071505216,0.008351002],"study_design_scores_gemma":[0.0009830156,0.00045577114,0.00006360542,0.0016379986,0.00006571456,0.00006206245,0.0013662701,0.3664811,0.016275011,0.6114084,0.00091247755,0.00028853328],"about_ca_topic_score_codex":0.0000088101915,"about_ca_topic_score_gemma":7.6652e-7,"teacher_disagreement_score":0.64456296,"about_ca_system_score_codex":0.00017462882,"about_ca_system_score_gemma":0.00005251978,"threshold_uncertainty_score":0.69519573},"labels":[],"label_agreement":null},{"id":"W4409787669","doi":"10.61091/jcmcc127a-319","title":"Personalized Instructional Path Generation for Chinese Language Education Incorporating Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Reinforcement learning; Path (computing); Instructional design; Reinforcement; Mathematics education; Individualized instruction; Artificial intelligence; Multimedia; Teaching method; Psychology; Programming language","score_opus":0.013646841617781217,"score_gpt":0.3032443416891699,"score_spread":0.2895975000713887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6257225,0.00042878892,0.35555845,0.00071878725,0.016636677,0.00028267526,4.234644e-7,0.000049988572,0.0006016751],"genre_scores_gemma":[0.9325793,0.0000141418495,0.06596232,0.00006957709,0.001284177,0.000009511619,0.000006538071,0.000009004153,0.00006546929],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99849325,0.000076668206,0.00075345836,0.00019651734,0.00030896757,0.0001711278],"domain_scores_gemma":[0.9977465,0.0004637722,0.0008628227,0.0001715305,0.00068826316,0.000067097615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001213254,0.00017908168,0.00037081723,0.00029166523,0.0004460101,0.0001970625,0.0004132667,0.00014184105,0.0000023839946],"category_scores_gemma":[0.0008286892,0.00016288807,0.00011500301,0.00037720765,0.000060363716,0.00031922208,0.00015778573,0.00035405718,5.2084187e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021517782,0.00019679367,0.00038800942,0.000097243865,0.00005641566,8.364967e-7,0.0010498667,0.00019202424,0.0017796207,0.98685193,0.00020994629,0.009155804],"study_design_scores_gemma":[0.003115032,0.00046919467,0.00019354359,0.00026234036,0.000049056864,0.000074635194,0.0009119735,0.11603647,0.00076742016,0.87673914,0.0011352957,0.00024588394],"about_ca_topic_score_codex":0.000005592884,"about_ca_topic_score_gemma":2.531934e-7,"teacher_disagreement_score":0.30685672,"about_ca_system_score_codex":0.00010656952,"about_ca_system_score_gemma":0.0007323189,"threshold_uncertainty_score":0.6642383},"labels":[],"label_agreement":null},{"id":"W4409787672","doi":"10.61091/jcmcc127a-300","title":"Artificial Intelligence-driven Speech Signal Extraction and Generation Based on Wave RNN Models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Recurrent neural network; Speech recognition; SIGNAL (programming language); Artificial intelligence; Extraction (chemistry); Natural language processing; Artificial neural network; Chemistry","score_opus":0.05272196945616726,"score_gpt":0.28455377712720986,"score_spread":0.2318318076710426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787672","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11915808,0.000063502186,0.8693231,0.00058914575,0.008976629,0.00023941508,0.0000010215731,0.00004980684,0.0015993237],"genre_scores_gemma":[0.9116317,0.000023007242,0.08745252,0.00009457171,0.00077838055,0.0000019799913,8.3843014e-7,0.000012294348,0.0000047224753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99770623,0.00016182731,0.0009868252,0.00029400625,0.0006080584,0.00024305459],"domain_scores_gemma":[0.9975802,0.00090644555,0.0006337461,0.00023330843,0.0005025524,0.00014377541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013418971,0.00024926785,0.000518399,0.00044156951,0.00033779818,0.00056913804,0.00032808125,0.00017483141,0.000007992937],"category_scores_gemma":[0.00027327798,0.0002279684,0.0001361691,0.00039650046,0.00006169875,0.0004176817,0.00013643566,0.00041198177,0.000001931692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005290859,0.00045729088,0.000007197961,0.00005219452,0.000045753324,0.000029451225,0.00025487467,0.00069463544,0.0011171971,0.8808262,0.000108072956,0.11635424],"study_design_scores_gemma":[0.000354732,0.00027019277,0.000005751277,0.00016020647,0.000030151357,0.00003466865,0.000058182137,0.5459839,0.009296331,0.44363636,0.000044754972,0.00012474746],"about_ca_topic_score_codex":0.0000035674077,"about_ca_topic_score_gemma":4.845809e-7,"teacher_disagreement_score":0.7924736,"about_ca_system_score_codex":0.0000945759,"about_ca_system_score_gemma":0.00017845299,"threshold_uncertainty_score":0.92962813},"labels":[],"label_agreement":null},{"id":"W4409787674","doi":"10.61091/jcmcc127a-352","title":"A neural network-based Z-score model for early warning of listed companies’ financial quality","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Business; Quality (philosophy); Warning system; Actuarial science; Finance; Computer science; Artificial intelligence","score_opus":0.10355556449066264,"score_gpt":0.37208531314462234,"score_spread":0.26852974865395973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83153766,0.00017720075,0.15871388,0.0002610353,0.00885726,0.00028964496,0.000018273671,0.000015907432,0.00012915338],"genre_scores_gemma":[0.991059,0.0000054774932,0.008003062,0.00010451776,0.0007897012,0.0000018375545,0.000003251803,0.000015664162,0.000017495986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99536353,0.00019759865,0.0024798089,0.00028129513,0.0012630622,0.00041467496],"domain_scores_gemma":[0.9910175,0.0035710216,0.0024882194,0.00037448131,0.0023961489,0.00015259518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069935787,0.0002923874,0.0014081126,0.00023862862,0.00048517928,0.00042222382,0.00087543944,0.00023591726,0.0000035248472],"category_scores_gemma":[0.005215998,0.00022390592,0.0005155641,0.00082310295,0.00016476758,0.0003080398,0.00025831797,0.0004240894,2.8676922e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012246128,0.0010733507,0.0064151026,0.00051008293,0.00014923538,0.0000053050635,0.002247745,0.023901252,0.0003772559,0.9502085,0.003458201,0.0104293795],"study_design_scores_gemma":[0.0052945265,0.00047495202,0.0035272115,0.00039107824,0.000090290974,0.000003353005,0.00017459686,0.4327552,0.00011595234,0.5567192,0.00023514606,0.00021853352],"about_ca_topic_score_codex":0.000016859585,"about_ca_topic_score_gemma":0.0000010405302,"teacher_disagreement_score":0.40885395,"about_ca_system_score_codex":0.00005570046,"about_ca_system_score_gemma":0.00059134536,"threshold_uncertainty_score":0.91306186},"labels":[],"label_agreement":null},{"id":"W4409787677","doi":"10.61091/jcmcc127a-367","title":"Impacts of climate change and human activities on vegetation cover changes in the Fen River headwaters based on long time series data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vegetation cover; Climate change; Vegetation (pathology); Cover (algebra); Environmental science; Physical geography; Series (stratigraphy); Hydrology (agriculture); Geography; Ecology; Land use; Geology; Biology","score_opus":0.019312043099807795,"score_gpt":0.26058540843846745,"score_spread":0.24127336533865965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99598736,0.0000366057,0.00004954415,0.0008345644,0.0011140348,0.00027169604,0.0000024213819,0.0000067835904,0.0016969686],"genre_scores_gemma":[0.9995473,0.00005084724,0.0001070996,0.00016359432,0.000115213326,0.0000022745842,0.0000023680293,0.000007231125,0.000004066338],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99884886,0.00014440795,0.0003449077,0.00015673398,0.00031182525,0.0001932554],"domain_scores_gemma":[0.9989558,0.0004200691,0.00036681435,0.00020994384,0.000018210023,0.000029202922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014264729,0.00015831509,0.00036099693,0.00013160195,0.00023325579,0.000049091734,0.00029983645,0.00006443456,0.000005109799],"category_scores_gemma":[0.00008410138,0.00011152087,0.000036075842,0.0001617943,0.00020426862,0.00024150549,0.00033773607,0.0001959141,0.000001534309],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003166689,0.0056761685,0.29962566,0.0035199616,0.00080496055,0.00020508468,0.044742536,0.0023421636,0.0019119063,0.6266785,0.0015079223,0.009818434],"study_design_scores_gemma":[0.024640847,0.011664038,0.39592394,0.00654854,0.0009705713,0.00003720415,0.0025922921,0.03257411,0.0036281273,0.51863986,0.0013837423,0.0013967527],"about_ca_topic_score_codex":0.000027207632,"about_ca_topic_score_gemma":0.0000093593335,"teacher_disagreement_score":0.108038686,"about_ca_system_score_codex":0.00004379433,"about_ca_system_score_gemma":0.0000067710494,"threshold_uncertainty_score":0.45476893},"labels":[],"label_agreement":null},{"id":"W4409787678","doi":"10.61091/jcmcc127a-293","title":"Research on financial market volatility prediction and risk response strategy based on LSTM network","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Financial market; Business; Econometrics; Financial economics; Economics; Finance","score_opus":0.015549742967709137,"score_gpt":0.27113208774836395,"score_spread":0.25558234478065484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94907475,0.0003288036,0.0025489873,0.000049879833,0.04358297,0.0003383809,0.000009902947,0.000069126814,0.0039971946],"genre_scores_gemma":[0.9958921,0.000053715885,0.00025031867,0.00001208144,0.0037464632,0.0000033113865,7.9885456e-7,0.000027004464,0.0000142190165],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971115,0.0006784252,0.0009201933,0.00021622192,0.000679327,0.0003943111],"domain_scores_gemma":[0.9952895,0.0036106575,0.00028658035,0.00027873347,0.0003725223,0.00016199502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007901401,0.000267898,0.0005979308,0.00036505956,0.00043690327,0.00022879249,0.00022914987,0.00025441975,0.000006085706],"category_scores_gemma":[0.0009995576,0.00024328903,0.00010821376,0.00054206623,0.00008259428,0.00009496326,0.00007422016,0.0011495695,0.0000011320549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014262827,0.0020383692,0.018150892,0.0023223695,0.0007142796,0.00013008091,0.0017490201,0.072488405,0.0003086904,0.70289534,0.17633654,0.008603191],"study_design_scores_gemma":[0.009179236,0.0043479474,0.022635162,0.0030653917,0.00014576764,0.000024047818,0.00029951858,0.74089795,0.00033273496,0.20606185,0.012509886,0.00050049834],"about_ca_topic_score_codex":0.0000066251555,"about_ca_topic_score_gemma":6.6771656e-7,"teacher_disagreement_score":0.6684095,"about_ca_system_score_codex":0.00015507196,"about_ca_system_score_gemma":0.00018709294,"threshold_uncertainty_score":0.9921039},"labels":[],"label_agreement":null},{"id":"W4409787680","doi":"10.61091/jcmcc127a-294","title":"AI-driven personalized training model for dance movement and health management research","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diversity and Impact of Dance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dance; Movement (music); Training (meteorology); Computer science; Psychology; Knowledge management; Visual arts; Human–computer interaction; Art; Aesthetics; Geography","score_opus":0.10462875122209712,"score_gpt":0.4039610671677121,"score_spread":0.29933231594561494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7009561,0.0045555416,0.2236839,0.012278531,0.03824449,0.0034959966,0.000032249634,0.00010588673,0.016647307],"genre_scores_gemma":[0.98772377,0.0001065238,0.010944533,0.0004983942,0.00042072896,0.000007502337,0.0000011920724,0.000020421025,0.00027692458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978145,0.00013456256,0.00075976615,0.0002592722,0.00053077756,0.00050114037],"domain_scores_gemma":[0.99818116,0.00048328534,0.0005135204,0.00019805151,0.0004359173,0.00018808458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036953632,0.00020189828,0.0006604531,0.0003298016,0.00057853275,0.00019468696,0.00035744905,0.000110767265,0.0000055526684],"category_scores_gemma":[0.00011741096,0.00019739206,0.00012395048,0.00027492907,0.00015434338,0.00014506845,0.00026080688,0.00047591768,7.7821596e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023816734,0.00045598723,0.000115489034,0.00043050112,0.00027812758,0.000007345179,0.009303502,0.00005546948,0.000023296918,0.9773631,0.005647241,0.0060817576],"study_design_scores_gemma":[0.010858787,0.0010847372,0.0003028128,0.0009996903,0.000091341615,0.000012299273,0.006269463,0.036942072,0.000017788841,0.9405914,0.0026116418,0.00021796768],"about_ca_topic_score_codex":0.000011593865,"about_ca_topic_score_gemma":4.78021e-7,"teacher_disagreement_score":0.2867677,"about_ca_system_score_codex":0.00015766149,"about_ca_system_score_gemma":0.00018531954,"threshold_uncertainty_score":0.8049415},"labels":[],"label_agreement":null},{"id":"W4409787681","doi":"10.61091/jcmcc127a-288","title":"Uncertainty modeling and decision optimization of robot vision-guided unloading system based on fuzzy mathematical approach","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Artificial intelligence; Computer science; Robot","score_opus":0.01241806873460356,"score_gpt":0.2508508595321429,"score_spread":0.23843279079753937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787681","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045222946,0.00013783095,0.9497873,0.000009805311,0.0027556173,0.0002187704,0.0000014659774,0.000071235016,0.0017950385],"genre_scores_gemma":[0.8013228,0.000020385762,0.19848952,0.0000034922814,0.00013401032,0.0000014907778,0.0000019685733,0.000025666468,6.653935e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979857,0.00004757441,0.0011452457,0.00018116986,0.00042966966,0.00021061867],"domain_scores_gemma":[0.99813116,0.0007866354,0.00041279665,0.0002079884,0.0003576999,0.00010370153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010099242,0.000266836,0.0007191009,0.0003523495,0.00017171852,0.00011663539,0.00019153854,0.00017912844,0.0000010110742],"category_scores_gemma":[0.00040810017,0.00023676401,0.00009659326,0.00027107794,0.000051574676,0.00011998222,0.000080147765,0.0003247338,1.7125609e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005404491,0.00012445256,0.000003346797,0.00088057626,0.00003328751,0.0000016089798,0.000106062915,0.7652295,0.00003303375,0.23290046,0.0000119088845,0.00062172365],"study_design_scores_gemma":[0.0020691853,0.00016308832,0.0000015142425,0.0012875986,0.00007661106,0.000012926126,0.00019209378,0.8347842,0.00019474201,0.16106,0.00000268681,0.00015535415],"about_ca_topic_score_codex":0.0000013816189,"about_ca_topic_score_gemma":1.8707714e-8,"teacher_disagreement_score":0.7560999,"about_ca_system_score_codex":0.0001407709,"about_ca_system_score_gemma":0.00005064409,"threshold_uncertainty_score":0.96549565},"labels":[],"label_agreement":null},{"id":"W4409787683","doi":"10.61091/jcmcc127a-309","title":"Research on the analysis of bridge quality monitoring data based on laser point cloud technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Point cloud; Cloud computing; Bridge (graph theory); Data science; Computer science; Laser; Point (geometry); Engineering; Mechanical engineering; Optics; Medicine; Mathematics; Operating system; Physics","score_opus":0.06279452505117791,"score_gpt":0.3682396644948308,"score_spread":0.3054451394436529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891062,0.000021161597,0.0023706844,0.0015960855,0.002851633,0.00021510005,0.0000051067677,0.000017063858,0.003816984],"genre_scores_gemma":[0.998586,0.0000076110978,0.0011075892,0.000024516034,0.00025298554,6.518246e-7,0.0000015731505,0.000010562037,0.000008487532],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99736804,0.000330462,0.0008675317,0.00027412895,0.0009099544,0.0002499129],"domain_scores_gemma":[0.9951869,0.0029370433,0.00062133983,0.0009799127,0.0002037043,0.00007107763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006267644,0.00015801573,0.00054996135,0.00047289094,0.00040708572,0.00009417069,0.0009648466,0.00013169754,0.000011439765],"category_scores_gemma":[0.0011775256,0.000114253766,0.00012942097,0.002310329,0.00028629595,0.000058621765,0.0005492863,0.00071048655,0.000003928188],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002853502,0.0021954835,0.00563465,0.00010374636,0.0007583642,0.000009506508,0.0006545782,0.008512356,0.0019637165,0.9689944,0.0028717753,0.008016092],"study_design_scores_gemma":[0.0041514435,0.0011369617,0.026985759,0.001113854,0.000993789,0.000006835496,0.0020487518,0.17067957,0.014556221,0.77516127,0.0026519382,0.00051358464],"about_ca_topic_score_codex":0.000068542155,"about_ca_topic_score_gemma":0.0000012419748,"teacher_disagreement_score":0.19383308,"about_ca_system_score_codex":0.00013883135,"about_ca_system_score_gemma":0.00006897515,"threshold_uncertainty_score":0.46591333},"labels":[],"label_agreement":null},{"id":"W4409787685","doi":"10.61091/jcmcc127a-418","title":"A competency-based framework for IT teachers: enhancing professional skills through AI algorithms and digital tools","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Professional development; Medical education; Artificial intelligence; Knowledge management; Algorithm; Mathematics education; Psychology; Medicine","score_opus":0.011712191712811586,"score_gpt":0.30881085084391857,"score_spread":0.297098659131107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787685","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044532236,0.00027300027,0.93680346,0.0059982007,0.011705484,0.00034932746,0.000004977118,0.00007051344,0.00026279382],"genre_scores_gemma":[0.6899662,0.000013136335,0.30868423,0.00037225278,0.000906011,0.0000035317848,0.000002274423,0.000022385813,0.000029997353],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973581,0.00009596445,0.001184255,0.00035707196,0.00058338454,0.00042123647],"domain_scores_gemma":[0.9947173,0.0032274295,0.00090577785,0.0003148537,0.0006754484,0.00015916966],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001383867,0.0003392219,0.00084531686,0.00021110765,0.00048202468,0.00118327,0.00072391826,0.00025237194,0.000001244625],"category_scores_gemma":[0.0020399806,0.00029320855,0.0002310308,0.00045658703,0.00010887285,0.0007392945,0.00039318437,0.0008465965,7.842945e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026480293,0.0006527054,0.00015576131,0.00024327614,0.000110732,0.000009693747,0.0016985261,0.000076593584,0.00005325159,0.98877525,0.0003362563,0.007861491],"study_design_scores_gemma":[0.0031818135,0.00058833975,0.00004300376,0.0018981765,0.00007593835,0.000025758969,0.00043370624,0.06954801,0.0003250177,0.9217332,0.0018479266,0.00029909267],"about_ca_topic_score_codex":0.0000017775455,"about_ca_topic_score_gemma":1.6866626e-7,"teacher_disagreement_score":0.64543396,"about_ca_system_score_codex":0.00007926118,"about_ca_system_score_gemma":0.00071967015,"threshold_uncertainty_score":0.999952},"labels":[],"label_agreement":null},{"id":"W4409787686","doi":"10.61091/jcmcc127a-302","title":"Application of Intelligent Algorithms in Student Mental Health Management and Risk Early Warning Model Research","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Warning system; Mental health; Computer science; Algorithm; Psychology; Psychiatry","score_opus":0.039200220572104975,"score_gpt":0.3997757444866256,"score_spread":0.36057552391452063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97599226,0.0013093003,0.017713241,0.00082092284,0.0024158154,0.0012256283,0.0000029893324,0.000011679385,0.0005081479],"genre_scores_gemma":[0.9928711,0.0010635067,0.005755695,0.000026770267,0.00024390822,0.00000616636,0.0000013341919,0.000016541151,0.000014979841],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964624,0.00034900097,0.0017112342,0.00022966483,0.00086970325,0.00037801042],"domain_scores_gemma":[0.9976947,0.00038309596,0.0008760672,0.00021627633,0.00056184444,0.0002680606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008693184,0.00017013583,0.0008797012,0.0006663383,0.00024733896,0.000061032933,0.00017093707,0.00012575592,5.5952574e-7],"category_scores_gemma":[0.0002025163,0.00014939463,0.00007873934,0.0005511102,0.00007686219,0.00007606627,0.0002306383,0.00081894774,2.9043602e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002882594,0.0018256695,0.04088209,0.0042592934,0.00028938203,0.00001342539,0.01599906,0.00009184671,0.0000523584,0.8446798,0.00021180854,0.09140703],"study_design_scores_gemma":[0.024143394,0.0066542462,0.0473913,0.011397347,0.0001957608,0.00013167909,0.016286846,0.2780269,0.00023271183,0.61173075,0.0032535717,0.0005555213],"about_ca_topic_score_codex":0.0005486744,"about_ca_topic_score_gemma":0.0000045956112,"teacher_disagreement_score":0.27793506,"about_ca_system_score_codex":0.00036832734,"about_ca_system_score_gemma":0.00056574354,"threshold_uncertainty_score":0.60921365},"labels":[],"label_agreement":null},{"id":"W4409787687","doi":"10.61091/jcmcc127a-334","title":"A New Perspective on the Value Penetration of Traditional Chinese Culture in Civic and Political Education Revealed through Topological Methods in History Education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Politics; Sociology; Value (mathematics); Political education; Social science; Topology (electrical circuits); Political science; Mathematics; Computer science; Artificial intelligence; Ideology; Law","score_opus":0.035371587768282226,"score_gpt":0.38956520086962304,"score_spread":0.3541936131013408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91987395,0.0013048218,0.0013498832,0.010853186,0.011969566,0.0005178217,7.078907e-7,0.000010139788,0.054119926],"genre_scores_gemma":[0.99175966,0.00004567232,0.006770766,0.0003121024,0.0010384048,0.0000044599574,8.0066127e-7,0.0000042582665,0.000063887106],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980262,0.00067652226,0.00064529385,0.00014688987,0.00030281366,0.00020227878],"domain_scores_gemma":[0.9968685,0.0022631192,0.00033897054,0.00008372562,0.00034244556,0.00010325664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018482901,0.0001304819,0.0003760686,0.00015782197,0.0001409856,0.00004598782,0.00018140396,0.00018259633,0.0000222598],"category_scores_gemma":[0.004496938,0.00009144865,0.000073414645,0.00035063186,0.00022909691,0.00014092455,0.000036162335,0.00044849774,2.2809554e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045371766,0.0008953321,0.000793167,0.000041326646,0.000010192757,3.7608413e-7,0.011105762,0.0000018648602,0.000053395765,0.98595107,0.00038938943,0.000712729],"study_design_scores_gemma":[0.0006625814,0.00025195748,0.0077370107,0.0002917418,0.000022470791,0.000004178229,0.010049519,0.00009140534,0.000027365004,0.9801086,0.0006689633,0.00008418986],"about_ca_topic_score_codex":0.0009975644,"about_ca_topic_score_gemma":0.000016026372,"teacher_disagreement_score":0.071885705,"about_ca_system_score_codex":0.0006998263,"about_ca_system_score_gemma":0.0019896682,"threshold_uncertainty_score":0.538358},"labels":[],"label_agreement":null},{"id":"W4409787689","doi":"10.61091/jcmcc127a-323","title":"Theoretical study on the design of improved dynamic characteristics of wind-resistant performance of large-span steel structures based on topology optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Topology optimization; Span (engineering); Structural engineering; Topology (electrical circuits); Engineering; Computer science; Finite element method; Electrical engineering","score_opus":0.005984917066863225,"score_gpt":0.23008286904823255,"score_spread":0.22409795198136934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86411965,0.000022174556,0.13321498,0.000025788246,0.0022946356,0.00022800843,0.0000044404023,0.000013744777,0.000076578304],"genre_scores_gemma":[0.9979492,0.000008508122,0.0019591802,0.0000058044684,0.00005907091,8.0812663e-7,0.000001104286,0.000015713375,6.057443e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984015,0.00011170745,0.0009471082,0.00009118647,0.0003097043,0.00013878952],"domain_scores_gemma":[0.99800706,0.00090172514,0.00054584426,0.00021008009,0.00029880682,0.00003651295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008101095,0.00018423339,0.00063965336,0.0002261368,0.00007324431,0.000023429593,0.00023787888,0.00009575591,0.000010395583],"category_scores_gemma":[0.00032265944,0.0001304055,0.00010283996,0.00028396197,0.0000961286,0.000033865,0.000037174992,0.00026761252,3.8960653e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030525308,0.00027602,0.00008955393,0.00031013624,0.0002172871,8.8661386e-7,0.0004040538,0.5136988,0.0025884544,0.48177153,0.0000041479293,0.00033386325],"study_design_scores_gemma":[0.0017993617,0.0014001603,0.0012103799,0.00025999534,0.00014826957,0.000001024443,0.00037394848,0.9765114,0.003765549,0.014428077,9.0485236e-7,0.00010091782],"about_ca_topic_score_codex":9.3542343e-7,"about_ca_topic_score_gemma":4.127469e-8,"teacher_disagreement_score":0.46734345,"about_ca_system_score_codex":0.000043079497,"about_ca_system_score_gemma":0.000053407635,"threshold_uncertainty_score":0.5317782},"labels":[],"label_agreement":null},{"id":"W4409787690","doi":"10.61091/jcmcc127a-291","title":"Agricultural carbon financial innovation and carbon emission reduction effect: an empirical study based on system GMM","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Carbon fibers; Agriculture; Reduction (mathematics); Empirical research; Business; Natural resource economics; Economics; Materials science; Mathematics; Geography; Composite material","score_opus":0.03512385674429449,"score_gpt":0.34446514174015563,"score_spread":0.30934128499586117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98563355,0.00004223409,0.00029212984,0.00022602349,0.012620161,0.0003960995,0.000001526,0.000028587165,0.0007597041],"genre_scores_gemma":[0.998671,0.0000017319126,0.00015674268,0.000024082306,0.001124192,0.0000020491943,0.0000023217788,0.000011046566,0.0000068286836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960082,0.00044488642,0.0014874999,0.0003588684,0.0014456494,0.00025490593],"domain_scores_gemma":[0.99621725,0.0009383952,0.0011430342,0.0003148798,0.0012437581,0.00014266456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062462245,0.00030418334,0.0008878602,0.0004771148,0.00044933218,0.00061713485,0.00039120956,0.00023969945,8.7506277e-7],"category_scores_gemma":[0.0022285935,0.00019435577,0.00010817275,0.0014610743,0.00006894976,0.00025390188,0.0001605555,0.0005016618,1.7806686e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005433181,0.016128564,0.14941695,0.0019769263,0.00053507026,0.00020098961,0.01725787,0.0007379617,0.014831931,0.7265332,0.004298419,0.06264898],"study_design_scores_gemma":[0.059136253,0.033079773,0.19267286,0.0057422635,0.0012217378,0.00036671673,0.039192054,0.27175808,0.0070491936,0.38638186,0.0007385318,0.0026606605],"about_ca_topic_score_codex":0.000025582396,"about_ca_topic_score_gemma":2.492596e-7,"teacher_disagreement_score":0.34015128,"about_ca_system_score_codex":0.0001434344,"about_ca_system_score_gemma":0.00022642172,"threshold_uncertainty_score":0.79255986},"labels":[],"label_agreement":null},{"id":"W4409787709","doi":"10.61091/jcmcc127a-526","title":"Corporate Tax Burden Minimization Strategies under Tax Incentive Policies – Based on Mathematical Planning and Simulation Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Department of Education of Guangdong Province; Natural Science Foundation of Guangdong Province; Ministry of Education of the People's Republic of China","keywords":"Tax planning; Incentive; Public economics; Economics; Tax basis; Tax incentive; Corporate tax; Tax credit; Tax reform; Minification; Microeconomics; Business; International taxation; Computer science; Tax avoidance; Mathematical optimization; State income tax; Mathematics; Gross income","score_opus":0.022718872879086482,"score_gpt":0.2709966855538136,"score_spread":0.24827781267472715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82992584,0.00007942707,0.16389014,0.00061494106,0.0025151311,0.00029790692,0.0000022910667,0.000052814237,0.0026215191],"genre_scores_gemma":[0.9976345,0.0000032014475,0.001295751,0.00017161873,0.0008485139,0.000001720659,0.0000063299835,0.000018481516,0.000019935967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811655,0.00004883391,0.00090272457,0.00021959655,0.0004899019,0.0002223809],"domain_scores_gemma":[0.9963118,0.0006573951,0.0021512003,0.00016433174,0.00067854964,0.00003674039],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008451581,0.00027671698,0.0006703245,0.0008305465,0.00035878638,0.00095034746,0.00019594138,0.00012769946,0.000011872712],"category_scores_gemma":[0.00044694764,0.00024615633,0.00013548229,0.0011916682,0.000101314734,0.00057005667,0.00013559141,0.0002741329,0.000002205467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013990575,0.00022178069,0.0018326229,0.00029320316,0.0001964879,0.0000066944817,0.00027530492,0.15829396,0.00008361145,0.8381888,0.00008380826,0.00038379163],"study_design_scores_gemma":[0.0016532918,0.00005876157,0.0015493113,0.00036010268,0.00035962593,7.963914e-7,0.0009806805,0.5214796,0.000024807478,0.473191,0.00017173543,0.00017025115],"about_ca_topic_score_codex":0.000021709133,"about_ca_topic_score_gemma":0.0000011642085,"teacher_disagreement_score":0.36499783,"about_ca_system_score_codex":0.00005937586,"about_ca_system_score_gemma":0.000099575715,"threshold_uncertainty_score":0.99999905},"labels":[],"label_agreement":null},{"id":"W4409787710","doi":"10.61091/jcmcc127a-492","title":"Quantitative assessment of the training effect of taijiquan on adolescents’ physical coordination based on particle swarm optimization algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sports and Physical Education Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Particle swarm optimization; Training (meteorology); Algorithm; Swarm behaviour; Computer science; Artificial intelligence; Mathematical optimization; Mathematics; Physics","score_opus":0.0397614673045389,"score_gpt":0.4338571629481902,"score_spread":0.3940956956436513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747362,0.000009716219,0.017265832,0.00042150175,0.0060890587,0.00067314913,0.000003686965,0.000009148541,0.0007916941],"genre_scores_gemma":[0.99812657,0.0000017253794,0.0014781479,0.00003977069,0.000322676,0.0000070481337,0.0000013728952,0.000014347921,0.000008371117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99731016,0.0006796941,0.00091030856,0.0001409544,0.00073754403,0.00022134032],"domain_scores_gemma":[0.99441874,0.0032388587,0.0012856323,0.00020814838,0.00076688663,0.0000817087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022770334,0.00016737517,0.0006506483,0.00013907504,0.00036109652,0.000022079035,0.00024086381,0.000097397155,0.0000067090104],"category_scores_gemma":[0.001057491,0.00011112655,0.00017587835,0.00049774407,0.00010223543,0.00006152568,0.00007927806,0.0006799612,3.5636828e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005692967,0.0026710827,0.0054528066,0.001037168,0.00011909916,0.0000012515914,0.0034772654,0.02147957,0.00074998016,0.96028113,0.00016598727,0.00399535],"study_design_scores_gemma":[0.00746944,0.003770265,0.0063962894,0.004372238,0.00013855005,3.667506e-7,0.0014880075,0.9294169,0.0031169245,0.043652777,0.00003326567,0.0001449915],"about_ca_topic_score_codex":0.000011559277,"about_ca_topic_score_gemma":1.0725134e-7,"teacher_disagreement_score":0.91662836,"about_ca_system_score_codex":0.00012823788,"about_ca_system_score_gemma":0.0005161078,"threshold_uncertainty_score":0.4531609},"labels":[],"label_agreement":null},{"id":"W4409787713","doi":"10.61091/jcmcc127a-496","title":"Design of Intelligent Prediction and Self-Anti Disturbance Devices in Horizontal Dosing Control System for Paper Machine","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dosing; Disturbance (geology); Computer science; Control (management); Artificial intelligence; Medicine","score_opus":0.007689354324893518,"score_gpt":0.21413566095042955,"score_spread":0.20644630662553604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7955658,0.004162595,0.18052965,0.000053886735,0.018193709,0.0011912883,0.000009417328,0.0001318251,0.00016183434],"genre_scores_gemma":[0.99843305,0.000039930434,0.0011308363,0.000003069724,0.00036500514,0.000008225582,5.5629613e-7,0.000018665645,6.666571e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982103,0.00008569514,0.0011648447,0.00013151245,0.00019117225,0.00021645671],"domain_scores_gemma":[0.9984487,0.0007260797,0.0004631774,0.00011679756,0.00019650672,0.00004869497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015297747,0.00021072372,0.0008304924,0.00023060683,0.00011147729,0.000062795196,0.00018160399,0.00025546795,2.6541971e-7],"category_scores_gemma":[0.00014192368,0.00019016728,0.000082249484,0.00021362392,0.000040575884,0.00013400009,0.000040399435,0.0003414508,7.780563e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007651279,0.00075838226,0.0044358023,0.0044969656,0.0011773126,0.000021247864,0.001449392,0.007920723,0.009866221,0.9614657,0.00010427696,0.007538808],"study_design_scores_gemma":[0.02985096,0.0020207996,0.00068545004,0.005805948,0.00078803074,0.00013285132,0.0012835547,0.82706624,0.012253082,0.11890761,0.0005686488,0.0006367999],"about_ca_topic_score_codex":0.0000074845852,"about_ca_topic_score_gemma":4.171182e-7,"teacher_disagreement_score":0.84255815,"about_ca_system_score_codex":0.0001366702,"about_ca_system_score_gemma":0.00005453138,"threshold_uncertainty_score":0.7754797},"labels":[],"label_agreement":null},{"id":"W4409787714","doi":"10.61091/jcmcc127a-511","title":"Design of dynamic scheduling strategy for metering equipment in warehouse environment based on intelligent algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metering mode; Warehouse; Computer science; Scheduling (production processes); Real-time computing; Algorithm; Engineering; Operations management; Mechanical engineering; Business","score_opus":0.02206830114205567,"score_gpt":0.25270608724389476,"score_spread":0.2306377861018391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787714","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07098461,0.00023655889,0.9208431,0.00003261091,0.0070300526,0.00072092144,0.0000025839086,0.0000366003,0.0001129608],"genre_scores_gemma":[0.9800259,0.000022320775,0.01974101,0.0000068139407,0.00016387769,0.000010355718,9.529238e-7,0.00002659891,0.0000021954284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978835,0.00008713265,0.0013100205,0.00013291185,0.00034132754,0.0002451177],"domain_scores_gemma":[0.99846363,0.0007574678,0.00044348362,0.0001501974,0.00011748084,0.00006771733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016036116,0.00023114262,0.00069763855,0.00036074527,0.00007049634,0.00007666436,0.00021766397,0.00014934957,0.0000024804997],"category_scores_gemma":[0.000121337514,0.00021963018,0.00012658867,0.00018094115,0.000024955596,0.00006821412,0.00004040195,0.00028501824,4.3673447e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019622559,0.0005344784,0.000010172979,0.00062322005,0.00018897663,0.000007908995,0.00050330075,0.9052662,0.002656665,0.05203321,0.000018436262,0.037961196],"study_design_scores_gemma":[0.004686785,0.0006325157,0.000010545937,0.00092381396,0.000051904623,0.0000026041532,0.00022085462,0.95461583,0.0026372175,0.035992034,0.000058281774,0.00016761562],"about_ca_topic_score_codex":0.000002865873,"about_ca_topic_score_gemma":9.06306e-8,"teacher_disagreement_score":0.9090413,"about_ca_system_score_codex":0.00027509296,"about_ca_system_score_gemma":0.00009453282,"threshold_uncertainty_score":0.8956259},"labels":[],"label_agreement":null},{"id":"W4409787716","doi":"10.61091/jcmcc127a-519","title":"Optimized design of energy efficiency of agricultural small base station in Aksu region based on RF power amplifier","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Tarim University; Nanjing University; Nanjing University of Science and Technology; Xinjiang University; Chinese Academy of Sciences","keywords":"RF power amplifier; Amplifier; Base station; Radio frequency; Electrical engineering; Power (physics); Efficient energy use; Telecommunications; Environmental science; Engineering; Physics; Bandwidth (computing)","score_opus":0.016943936505508086,"score_gpt":0.24495864958555963,"score_spread":0.22801471308005156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9018303,0.00014084516,0.08661407,0.00015739108,0.006595398,0.00030335085,0.0000012063933,0.000012672361,0.004344759],"genre_scores_gemma":[0.99759626,0.000029006114,0.0021916952,0.000014856445,0.0001372216,0.0000018294196,8.731476e-7,0.000008497581,0.00001978242],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997712,0.00040111065,0.0010100518,0.000142796,0.0005211185,0.00021287896],"domain_scores_gemma":[0.99733895,0.001194456,0.0010337399,0.00012791662,0.00022404864,0.00008091073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019878198,0.00016209333,0.0005790967,0.0002378762,0.00016698679,0.000043925105,0.00026317535,0.00016477199,0.0000053882086],"category_scores_gemma":[0.00049809704,0.00013530249,0.00012654687,0.00044805478,0.00014109083,0.00009423434,0.00004993374,0.0001861564,1.485788e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043253563,0.0012070182,0.00055359857,0.00013965859,0.000051654857,0.000008582603,0.003542854,0.031169763,0.0014700801,0.9609889,0.000109058295,0.0003263046],"study_design_scores_gemma":[0.047500227,0.007039065,0.0056063724,0.009764248,0.00044929318,0.000020856342,0.022508128,0.048651963,0.031360555,0.8245942,0.0008337195,0.0016713841],"about_ca_topic_score_codex":0.00019799301,"about_ca_topic_score_gemma":0.0000033996857,"teacher_disagreement_score":0.13639471,"about_ca_system_score_codex":0.00014421708,"about_ca_system_score_gemma":0.00017057636,"threshold_uncertainty_score":0.5517475},"labels":[],"label_agreement":null},{"id":"W4409787719","doi":"10.61091/jcmcc127a-524","title":"Quantification of ultra-short-term forecasting performance of wind power based on multivariate LSTM and logistic coupled models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Term (time); Multivariate statistics; Logistic regression; Econometrics; Computer science; Wind power; Artificial intelligence; Machine learning; Environmental science; Statistics; Mathematics; Engineering; Physics","score_opus":0.02782414027685679,"score_gpt":0.24891529955909086,"score_spread":0.22109115928223408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96891874,0.0001822173,0.024566157,0.000007902403,0.0047113616,0.00015602153,0.0000031501534,0.000025505453,0.0014289503],"genre_scores_gemma":[0.997594,0.00002915838,0.002211564,0.000003498301,0.00013060054,7.873196e-7,0.0000017388311,0.000027042563,0.0000016108407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980214,0.000044866127,0.00120131,0.00014877754,0.00035856152,0.00022508077],"domain_scores_gemma":[0.99785477,0.0009256802,0.0005832517,0.00018916372,0.00036686572,0.0000802541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010147007,0.00024964826,0.0007081695,0.00027754938,0.0001171936,0.000054185624,0.00020449892,0.00014670826,0.0000016295046],"category_scores_gemma":[0.0002759209,0.00023010059,0.00010413211,0.00027189578,0.00009020866,0.00014750584,0.000043901742,0.0003290864,8.04394e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049088657,0.00078118884,0.0024495814,0.0037490022,0.00035727237,0.000011755547,0.0019487555,0.4293493,0.030992497,0.5265177,0.000023068815,0.0033290146],"study_design_scores_gemma":[0.0022105144,0.00056128245,0.0003552201,0.0021832774,0.00009797323,0.000011369961,0.000086324275,0.9563266,0.009203895,0.028761838,0.00000628852,0.00019540555],"about_ca_topic_score_codex":0.0000043483437,"about_ca_topic_score_gemma":1.5435255e-7,"teacher_disagreement_score":0.5269773,"about_ca_system_score_codex":0.000045049917,"about_ca_system_score_gemma":0.000066429384,"threshold_uncertainty_score":0.93832296},"labels":[],"label_agreement":null},{"id":"W4409787720","doi":"10.61091/jcmcc127a-527","title":"Design of a neural network-based automated style migration technique in digital media art","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Style (visual arts); Artificial neural network; Digital media; Computer science; Artificial intelligence; Art; World Wide Web; Visual arts","score_opus":0.01445568465063689,"score_gpt":0.2637109532097071,"score_spread":0.2492552685590702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787720","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34031135,0.00019194637,0.64680874,0.00025545075,0.011108584,0.000656274,0.0000015099487,0.00016797967,0.0004981427],"genre_scores_gemma":[0.97612816,0.0000061179667,0.02363414,0.000021028689,0.00018924478,0.0000043170403,0.0000015757847,0.000012717461,0.000002682547],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975797,0.00009908231,0.001266741,0.00020797776,0.000531439,0.00031505452],"domain_scores_gemma":[0.9969616,0.0013892667,0.00083231705,0.0002483634,0.0004541579,0.00011428497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014317018,0.0002401076,0.0006992487,0.00031139448,0.00008090412,0.00034323864,0.00066434237,0.00014543491,7.754975e-7],"category_scores_gemma":[0.0004964132,0.00021521364,0.000119843506,0.0009270898,0.00007611227,0.00061376684,0.00024021146,0.00032698983,9.883297e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023373342,0.001900153,0.000987557,0.00041663976,0.00011461587,0.00008574486,0.001369519,0.006813818,0.0012561824,0.9795143,0.0012319596,0.006075752],"study_design_scores_gemma":[0.003126079,0.0008039116,0.00018440407,0.0012545481,0.00002703298,0.0000248202,0.000051353323,0.60211647,0.001974627,0.39011535,0.00009011614,0.00023127232],"about_ca_topic_score_codex":0.0000024370486,"about_ca_topic_score_gemma":2.7163716e-7,"teacher_disagreement_score":0.6358168,"about_ca_system_score_codex":0.00006791896,"about_ca_system_score_gemma":0.00027966342,"threshold_uncertainty_score":0.87761575},"labels":[],"label_agreement":null},{"id":"W4409787721","doi":"10.61091/jcmcc127a-502","title":"Extraction and mapping of multidimensional data from computer terminals based on transfer probability matrix Markov chain attack graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Markov chain; Computer science; Matrix (chemical analysis); Chain (unit); Transfer (computing); Data extraction; Theoretical computer science; Data mining; Machine learning; Parallel computing","score_opus":0.03742939894858483,"score_gpt":0.30469042473563446,"score_spread":0.26726102578704963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5362183,0.00019887017,0.45552972,0.0003703988,0.0072720377,0.00030870686,0.000015058094,0.000028134482,0.000058782156],"genre_scores_gemma":[0.9130485,0.000019830526,0.08664148,0.00004919457,0.00021955217,0.0000011498778,0.0000076009565,0.000009786501,0.0000028945774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99700737,0.0002739724,0.0013191265,0.0004508036,0.00072324957,0.00022548721],"domain_scores_gemma":[0.9961009,0.0018491031,0.0006787526,0.00070092035,0.00053539523,0.00013492537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029421595,0.00025768863,0.00071340747,0.0006222023,0.00022384462,0.00024219672,0.00087978283,0.00018177468,0.0000046630616],"category_scores_gemma":[0.00036581542,0.0002322883,0.0001310723,0.00084301917,0.00012107598,0.00037933767,0.00042477998,0.00042582187,6.335174e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027452488,0.0029286803,0.0011728901,0.00088070316,0.00025914185,0.000025054895,0.0011260037,0.00013826256,0.0025189004,0.96474105,0.0009482906,0.024986492],"study_design_scores_gemma":[0.0053605326,0.0004268451,0.00465683,0.0008953924,0.00009272925,0.000022052842,0.000075016214,0.71578336,0.0009524885,0.27048472,0.0009193448,0.00033071107],"about_ca_topic_score_codex":0.000021470247,"about_ca_topic_score_gemma":5.0738515e-7,"teacher_disagreement_score":0.7156451,"about_ca_system_score_codex":0.000058053243,"about_ca_system_score_gemma":0.00019164555,"threshold_uncertainty_score":0.94724417},"labels":[],"label_agreement":null},{"id":"W4409787724","doi":"10.61091/jcmcc127a-530","title":"Exploration and Research on Improving Logical Reasoning Skills in Teaching Artificial Intelligence Driver Designs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Logical reasoning; Computer science; Verbal reasoning; Artificial intelligence; Mathematics education; Psychology; Cognition","score_opus":0.08870797474205261,"score_gpt":0.4046716067243168,"score_spread":0.3159636319822642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.975964,0.00021143231,0.019137274,0.00066230336,0.0021192497,0.00048013788,4.0187297e-7,0.000015365453,0.0014098523],"genre_scores_gemma":[0.9944907,0.000082801875,0.0048575155,0.00003033642,0.0005051869,0.0000038042733,9.4682764e-7,0.00001370507,0.00001501294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971433,0.0003551403,0.0008735438,0.0002515491,0.0009722406,0.00040417002],"domain_scores_gemma":[0.9965435,0.0023418367,0.00026458415,0.00016133992,0.0004115404,0.00027719533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051950626,0.00018358376,0.00059402146,0.000589145,0.00032524863,0.00018391569,0.00015499492,0.00017414746,0.000004819806],"category_scores_gemma":[0.0068174303,0.00014277498,0.00007553371,0.0004131023,0.00015513839,0.00016391558,0.00019867231,0.0014318678,0.0000018848701],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004940929,0.0016692884,0.00063085655,0.00023469093,0.00006818737,0.00019558948,0.0011616658,0.000014864453,0.0006899693,0.9134535,0.000050143914,0.08133714],"study_design_scores_gemma":[0.0029570328,0.0029510676,0.0007448586,0.0027787222,0.00006027082,0.000052465133,0.0013181841,0.013507395,0.0020537921,0.97335446,0.000077171455,0.0001445578],"about_ca_topic_score_codex":0.00001967238,"about_ca_topic_score_gemma":6.7094834e-7,"teacher_disagreement_score":0.08119258,"about_ca_system_score_codex":0.00020964966,"about_ca_system_score_gemma":0.00028109696,"threshold_uncertainty_score":0.8161593},"labels":[],"label_agreement":null},{"id":"W4409787725","doi":"10.61091/jcmcc127a-523","title":"Machine Learning-Based Injury Risk Prediction Models for Athletes in Rehabilitation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Athletes; Rehabilitation; Physical medicine and rehabilitation; Computer science; Machine learning; Artificial intelligence; Physical therapy; Medicine","score_opus":0.040603996086540466,"score_gpt":0.3848132848663795,"score_spread":0.34420928877983903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9117878,0.0006858306,0.058809854,0.0009110615,0.025075542,0.0021114678,0.00003178729,0.00008321069,0.0005034643],"genre_scores_gemma":[0.99388117,0.00006696854,0.005142833,0.000051756473,0.00077893154,0.000032169333,0.0000051787706,0.000029564168,0.000011418939],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99604976,0.00071584235,0.002206516,0.00023339292,0.0003885463,0.00040594378],"domain_scores_gemma":[0.98878336,0.008082228,0.0015902754,0.00019373631,0.0012352158,0.00011521319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005434462,0.00022425878,0.0007161955,0.00046458817,0.0008190303,0.0000407227,0.00023961371,0.0003361235,0.000005312583],"category_scores_gemma":[0.006597713,0.00020929387,0.00015987657,0.00045447712,0.000077535464,0.00020472906,0.000104809886,0.0013606428,0.0000013188261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010814852,0.00067947264,0.05735322,0.001987065,0.00006657936,0.0000021649967,0.006072836,0.008280227,0.00009427511,0.91838354,0.00046585666,0.0055333013],"study_design_scores_gemma":[0.0017854838,0.0009362949,0.00020864177,0.0013543096,0.0000442848,4.049371e-7,0.0012679717,0.40942064,0.000065226115,0.5841229,0.0006947454,0.00009908356],"about_ca_topic_score_codex":0.00018287457,"about_ca_topic_score_gemma":0.00001768638,"teacher_disagreement_score":0.4011404,"about_ca_system_score_codex":0.00035982858,"about_ca_system_score_gemma":0.0005454647,"threshold_uncertainty_score":0.85347563},"labels":[],"label_agreement":null},{"id":"W4409787729","doi":"10.61091/jcmcc127a-508","title":"The value of kinematic modeling-based dance teaching methods in enhancing the effectiveness of complex movement training","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sports and Physical Education Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Kinematics; Dance; Movement (music); Training (meteorology); Value (mathematics); Computer science; Artificial intelligence; Visual arts; Art; Geography; Machine learning; Aesthetics; Physics","score_opus":0.06447299901140033,"score_gpt":0.4703912498412291,"score_spread":0.4059182508298288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88584584,0.0002732601,0.10414421,0.00037422,0.00684467,0.0008896772,0.0000010402545,0.000007442188,0.0016196467],"genre_scores_gemma":[0.99209505,0.000009834687,0.0075249756,0.00004159151,0.0002950869,0.000013058962,5.5780123e-7,0.000014569372,0.0000052899086],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9943918,0.0025107246,0.0020450547,0.000142633,0.0005705664,0.00033922982],"domain_scores_gemma":[0.97713673,0.020478917,0.0013579964,0.00029275517,0.00066624855,0.00006735591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02326149,0.0001771854,0.00086893747,0.00017027683,0.0007075291,0.000036349404,0.0004998633,0.00010137726,0.0000045000916],"category_scores_gemma":[0.0039285235,0.00010792162,0.0001586604,0.00041518046,0.00012882228,0.00006017399,0.00018593398,0.0011072652,1.565167e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022174965,0.00040137707,0.0004994992,0.0017637677,0.00008551475,6.917432e-7,0.0045923037,0.0051973686,0.004394563,0.98112637,0.000020616015,0.0016961556],"study_design_scores_gemma":[0.0031804643,0.00024331897,0.0014787905,0.004872242,0.0000657233,5.527082e-7,0.0070403204,0.28443474,0.0011062656,0.69737214,0.000094911426,0.00011055105],"about_ca_topic_score_codex":0.00010703945,"about_ca_topic_score_gemma":0.0000025100046,"teacher_disagreement_score":0.2837543,"about_ca_system_score_codex":0.00012962126,"about_ca_system_score_gemma":0.00082848937,"threshold_uncertainty_score":0.80620146},"labels":[],"label_agreement":null},{"id":"W4409787731","doi":"10.61091/jcmcc127a-513","title":"Application of Numerical Methods in the Study of the Impact of Agricultural Subsidy Policies on the Development of China’s Soybean Industry","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Subsidy; China; Agriculture; Agricultural economics; Business; Natural resource economics; Agricultural engineering; Economics; Engineering; Geography; Market economy; Archaeology","score_opus":0.024706330670596095,"score_gpt":0.31491826294612774,"score_spread":0.29021193227553166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983098,0.000029043953,0.000022831015,0.0003226964,0.00056081044,0.00042761033,0.0000028027966,0.00000197099,0.00032245618],"genre_scores_gemma":[0.9996474,0.0000025222907,0.00017157146,0.0000071462864,0.00016509634,0.0000028436502,6.022393e-7,0.0000011474008,0.0000016913384],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99790317,0.0003300601,0.0012216367,0.00009885171,0.00029754188,0.0001487471],"domain_scores_gemma":[0.99677,0.0011811247,0.0016657019,0.00010924123,0.00024214598,0.00003175429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00180696,0.00016460786,0.0005782006,0.000035979036,0.00015731399,0.000029238745,0.0007063676,0.00012151965,0.0000025690276],"category_scores_gemma":[0.0002495156,0.00004432206,0.00020835042,0.00065036723,0.000084265295,0.000043339085,0.0001798521,0.00041121396,5.346955e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023644317,0.0077003245,0.056628153,0.00022008839,0.0006558296,4.2635412e-7,0.036605474,0.0008566282,0.06908041,0.8140879,0.00026439555,0.013663871],"study_design_scores_gemma":[0.0011012824,0.0013095081,0.9265926,0.00024204628,0.00006727849,0.000005459173,0.011642177,0.00035578702,0.007516419,0.051009867,0.000024608691,0.00013298733],"about_ca_topic_score_codex":0.00037410972,"about_ca_topic_score_gemma":0.000010329415,"teacher_disagreement_score":0.8699644,"about_ca_system_score_codex":0.00004745813,"about_ca_system_score_gemma":0.0000624616,"threshold_uncertainty_score":0.18074012},"labels":[],"label_agreement":null},{"id":"W4409787733","doi":"10.61091/jcmcc127a-503","title":"World War II to the Cold War: The Rise of the U.S. Military-Industrial Complex and Economic Impact Analysis under Computer Simulation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Shaoguan University","keywords":"Cold war; World War II; Political science; Economic history; Engineering; History; Politics; Law","score_opus":0.030163155110801972,"score_gpt":0.25117191068712413,"score_spread":0.22100875557632216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98408085,0.00044374444,0.0051936833,0.001324304,0.0066206986,0.0005208751,0.000026369555,0.000009308032,0.0017801869],"genre_scores_gemma":[0.9990048,0.000035664365,0.0003446538,0.00008990739,0.00048164758,0.0000021183803,0.0000018116903,0.000011953308,0.000027483045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978168,0.00006323793,0.0015913219,0.00019302608,0.00011184964,0.00022375274],"domain_scores_gemma":[0.9977082,0.0007949104,0.0009947766,0.0002973763,0.00012359033,0.000081115606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019629123,0.00022304402,0.00077573996,0.00036766205,0.0005031021,0.00012259498,0.0004962161,0.00009558708,0.000025256555],"category_scores_gemma":[0.00011198217,0.00014273783,0.00034202356,0.0006205355,0.00011289466,0.0002343253,0.00028988573,0.00029457218,0.0000029592832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014102907,0.00020838907,0.009831368,0.000065041204,0.001379692,4.1902084e-7,0.0036191451,0.07322762,0.000010200953,0.9083914,0.001894884,0.0012308194],"study_design_scores_gemma":[0.0056960904,0.00045597836,0.020276107,0.0001936382,0.000480987,0.000006325542,0.00061017607,0.55568355,0.00009446502,0.4018573,0.014183168,0.00046222596],"about_ca_topic_score_codex":0.000085609565,"about_ca_topic_score_gemma":0.000021854992,"teacher_disagreement_score":0.5065341,"about_ca_system_score_codex":0.00021827579,"about_ca_system_score_gemma":0.00011030102,"threshold_uncertainty_score":0.58206797},"labels":[],"label_agreement":null},{"id":"W4409787734","doi":"10.61091/jcmcc127a-515","title":"An Analysis of Key Factors of the Community of Inquiry Framework in Virtual Teaching and Research Communities Based on the CRITIC Weighting Method and Multiple Linear Regression and Its Impact on Teachers’ Professional Development Research","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Weighting; Key (lock); Computer science; Linear regression; Regression analysis; Mathematics education; Data science; Psychology; Machine learning; Medicine","score_opus":0.08953311983121515,"score_gpt":0.44224066381908683,"score_spread":0.3527075439878717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987054,0.000030384504,0.00024205659,0.0001918935,0.0005231427,0.00021624166,0.0000026694322,0.0000018060047,0.000086441105],"genre_scores_gemma":[0.9980704,0.0000067155574,0.0018608827,0.0000124677845,0.000035925335,0.0000017507089,0.0000014999611,0.0000076227543,0.0000027016483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99573624,0.0023072655,0.00077519595,0.00010613824,0.00089008844,0.00018505401],"domain_scores_gemma":[0.98465586,0.014243937,0.0004844456,0.00025364096,0.00029979003,0.00006233883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015240612,0.00013923203,0.00045293305,0.00047051132,0.001083255,0.000049442522,0.00039125507,0.00012006889,0.000005557302],"category_scores_gemma":[0.003957946,0.00007519821,0.000056843408,0.00090431556,0.00042087468,0.00012492026,0.00047687147,0.0019341956,2.8010994e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003458348,0.0038452852,0.25518602,0.00033083942,0.00029455955,6.1826137e-7,0.17873082,0.003339434,0.0055505424,0.54974717,0.000040282826,0.002588577],"study_design_scores_gemma":[0.0021318826,0.0019081585,0.51225877,0.005325648,0.0001241611,0.0000022085187,0.10028099,0.16502425,0.0078969775,0.20478275,0.000026153872,0.00023804963],"about_ca_topic_score_codex":0.00029898467,"about_ca_topic_score_gemma":0.000009573355,"teacher_disagreement_score":0.3449644,"about_ca_system_score_codex":0.00013946513,"about_ca_system_score_gemma":0.00015394764,"threshold_uncertainty_score":0.8403225},"labels":[],"label_agreement":null},{"id":"W4409787735","doi":"10.61091/jcmcc127a-522","title":"Research on the Innovation of Rattan Weaving Art Design Form and Inheritance of Cultural Symbols of Maonan Flower Bamboo Hat Based on Complex Geometry and AI Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Weaving; Rattan; Inheritance (genetic algorithm); Bamboo; Fashion design; Geometry; Mathematics; Algorithm; Engineering; Geography; Botany; Archaeology; Mechanical engineering; Materials science; Composite material","score_opus":0.05978203151824015,"score_gpt":0.3478609742005904,"score_spread":0.2880789426823503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92594475,0.00012655584,0.06821825,0.00060654624,0.0036925778,0.0004743522,0.000003447803,0.000013595945,0.00091991096],"genre_scores_gemma":[0.9908818,0.000016909938,0.008891834,0.000051453102,0.00013636691,0.0000022338381,6.561002e-7,0.000010804625,0.000007919789],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972678,0.00020321875,0.0011332346,0.00021640582,0.0009233654,0.00025602162],"domain_scores_gemma":[0.994727,0.0027498445,0.000812155,0.00028417367,0.001349501,0.00007730676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033676436,0.0002116726,0.00068412704,0.000459346,0.00020274316,0.00020607129,0.0005275677,0.00010807355,0.0000013266916],"category_scores_gemma":[0.00063914515,0.00015078895,0.00007561175,0.0012534318,0.0002724443,0.00032266526,0.00026242048,0.00045655968,2.455818e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012267183,0.00058030046,0.00017068097,0.000387314,0.00007234824,0.0000045301117,0.00079271855,0.00004675648,0.0020012925,0.9856173,0.00039657258,0.009807538],"study_design_scores_gemma":[0.0057244548,0.00455157,0.0012007039,0.0055401325,0.000060043272,0.000024433846,0.0015937636,0.18359731,0.028618265,0.7684586,0.0002580057,0.0003727098],"about_ca_topic_score_codex":0.0000028503887,"about_ca_topic_score_gemma":8.785868e-8,"teacher_disagreement_score":0.21715866,"about_ca_system_score_codex":0.000047701687,"about_ca_system_score_gemma":0.00015762092,"threshold_uncertainty_score":0.6148995},"labels":[],"label_agreement":null},{"id":"W4409787737","doi":"10.61091/jcmcc127a-514","title":"Optimization of the information framework of sports mobilization effect in active health perspective based on particle swarm optimization algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Particle swarm optimization; Perspective (graphical); Mobilization; Multi-swarm optimization; Computer science; Optimization algorithm; Swarm behaviour; Mathematical optimization; Algorithm; Artificial intelligence; Mathematics; Political science","score_opus":0.006064287762084074,"score_gpt":0.24992186764194158,"score_spread":0.2438575798798575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787737","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47856882,0.00005905884,0.51054597,0.0023861565,0.006135622,0.0010444787,0.000002886578,0.00004094914,0.0012160194],"genre_scores_gemma":[0.9929784,0.000007723613,0.006691133,0.00016688202,0.00013971655,0.0000030944361,0.0000034525358,0.0000091690345,4.4225436e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835986,0.00004948799,0.00097040343,0.000096206575,0.0003842702,0.00013978225],"domain_scores_gemma":[0.99672085,0.0003580771,0.0018321213,0.00017986378,0.00089897274,0.000010140743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011574838,0.00014554588,0.0004399783,0.00047678943,0.00015639332,0.00006245473,0.0002112597,0.00013592483,0.0000036307774],"category_scores_gemma":[0.001109093,0.00011754696,0.00008538986,0.0014934085,0.00009110953,0.00042251553,0.000097379,0.00031278786,1.4843368e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100640784,0.00038050234,0.002261066,0.00026213497,0.000029312823,3.5585308e-7,0.0003380956,0.20117804,0.0000068627987,0.79230356,0.0000313125,0.0031081077],"study_design_scores_gemma":[0.0027419224,0.00021118169,0.0010147457,0.0014294775,0.00006381823,7.1464456e-7,0.0010859657,0.7309716,0.0008177668,0.26154223,0.000013230023,0.00010735255],"about_ca_topic_score_codex":0.00004235187,"about_ca_topic_score_gemma":4.8567153e-7,"teacher_disagreement_score":0.53076136,"about_ca_system_score_codex":0.00011760868,"about_ca_system_score_gemma":0.00012424099,"threshold_uncertainty_score":0.47934258},"labels":[],"label_agreement":null},{"id":"W4409787738","doi":"10.61091/jcmcc127a-348","title":"UI Design Optimization Method Based on User Behavior Analysis – Based on Heat Map Analysis, K-means Clustering, and Random Forest Regression Analysis Algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Random forest; Regression analysis; Computer science; Regression; Data mining; Algorithm; Artificial intelligence; Statistics; Mathematics; Machine learning","score_opus":0.01869371114999017,"score_gpt":0.3018004928177028,"score_spread":0.28310678166771264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787738","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02568883,0.00006439591,0.9705005,0.0005140618,0.0023882645,0.0004551033,0.0000026767661,0.000027953269,0.000358176],"genre_scores_gemma":[0.8853197,0.000062447994,0.11413167,0.000096649455,0.0002930142,0.000010792695,0.000017090693,0.000020102405,0.00004853291],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99606407,0.00080625265,0.0010747479,0.00040442304,0.0012889993,0.0003615205],"domain_scores_gemma":[0.996322,0.0020584906,0.00077362556,0.00029673512,0.00030235935,0.00024683788],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0046202093,0.00036048357,0.0013226275,0.0018829978,0.000836253,0.00039590365,0.00034947865,0.00025094894,0.00003189326],"category_scores_gemma":[0.00034075382,0.0002990873,0.0006506536,0.0029285776,0.00012946312,0.00014763512,0.00009485839,0.00034280066,5.304935e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045820454,0.00073564,0.012374283,0.000042339052,0.0025478355,0.000017113542,0.0007832508,0.96699816,0.0000059118915,0.015310804,0.00009855133,0.00062791473],"study_design_scores_gemma":[0.004388342,0.00031873843,0.0040390706,0.00018439845,0.00917417,4.385813e-7,0.00032188036,0.97564256,0.000028655206,0.0053668604,0.00023742477,0.0002974613],"about_ca_topic_score_codex":0.00009845737,"about_ca_topic_score_gemma":0.00001897714,"teacher_disagreement_score":0.8596309,"about_ca_system_score_codex":0.00027510882,"about_ca_system_score_gemma":0.00019355291,"threshold_uncertainty_score":0.9999461},"labels":[],"label_agreement":null},{"id":"W4409787740","doi":"10.61091/jcmcc127a-495","title":"Design of a real-time monitoring system for blending ratio and purity of tobacco for hyperspectral imaging","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hyperspectral imaging; Process engineering; Environmental science; Artificial intelligence; Computer science; Computer vision; Remote sensing; Engineering; Geology","score_opus":0.01691234473883051,"score_gpt":0.285645946678575,"score_spread":0.2687336019397445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.931867,0.001113807,0.06299311,0.000044207285,0.0029868912,0.0003815536,0.000009326583,0.000033061853,0.0005710165],"genre_scores_gemma":[0.9752116,0.000058153386,0.02410552,9.647765e-7,0.00058216864,0.0000055567657,8.758253e-7,0.000023279661,0.000011839692],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997998,0.000032536795,0.0012058757,0.000198446,0.00029389933,0.0002712359],"domain_scores_gemma":[0.9956666,0.0020335927,0.0013613685,0.000173688,0.000681441,0.00008330925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012529966,0.00023549955,0.0010662932,0.0002836537,0.00020610615,0.00009148899,0.00026761854,0.00012818421,0.000002323326],"category_scores_gemma":[0.0006397325,0.00022525869,0.00020874487,0.0003089679,0.000080775106,0.00013239436,0.000098101664,0.00018511794,3.988557e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070970354,0.0005796215,0.0022659095,0.005228706,0.00081258814,0.0000042252514,0.0010420978,0.00012712182,0.50848025,0.4797814,0.00008339823,0.00088499114],"study_design_scores_gemma":[0.008526966,0.0004977734,0.00003958554,0.0020165397,0.0013622431,0.00003907601,0.0035700856,0.022731656,0.8140489,0.14680389,0.000017319293,0.00034597702],"about_ca_topic_score_codex":0.000009541839,"about_ca_topic_score_gemma":1.9796822e-8,"teacher_disagreement_score":0.3329775,"about_ca_system_score_codex":0.00014247709,"about_ca_system_score_gemma":0.0001619599,"threshold_uncertainty_score":0.91857827},"labels":[],"label_agreement":null},{"id":"W4409787741","doi":"10.61091/jcmcc127a-491","title":"Research on predicting the adaptability of employment policy for senior college students based on collaborative filtering algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Adaptability; Collaborative filtering; Computer science; Algorithm; Psychology; Artificial intelligence; Mathematics education; Machine learning; Management; Recommender system; Economics","score_opus":0.026848924273679776,"score_gpt":0.36510379073743565,"score_spread":0.33825486646375585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787741","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2706873,0.00012003682,0.7090188,0.0025833028,0.014237173,0.0021075788,0.000025845768,0.00011522615,0.0011046934],"genre_scores_gemma":[0.93600637,0.000010313189,0.063503176,0.000044957593,0.0003902166,0.000020638785,3.0917568e-7,0.00001628688,0.000007752919],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965193,0.0003025996,0.0011173562,0.00033302928,0.0013002343,0.0004274825],"domain_scores_gemma":[0.9904113,0.0064282585,0.000884346,0.0007046367,0.0014890138,0.000082469756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048189103,0.00025750225,0.0006652922,0.00055138755,0.00063644943,0.00020441118,0.0019411546,0.00019926965,5.089409e-7],"category_scores_gemma":[0.0028169868,0.00019276528,0.0001536472,0.0014821922,0.00021106229,0.00014387697,0.0009214538,0.00085319596,2.130839e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015929496,0.0008584968,0.00009487598,0.0001341822,0.000093045106,0.0000060810316,0.00063750386,0.00092024147,0.000104128856,0.9891313,0.00020160429,0.007659265],"study_design_scores_gemma":[0.005139088,0.0041931355,0.00018384028,0.0010238063,0.00003447363,0.0000062249746,0.0014962292,0.14268439,0.007838186,0.83658874,0.00060029776,0.00021161528],"about_ca_topic_score_codex":0.000009405844,"about_ca_topic_score_gemma":4.0842457e-7,"teacher_disagreement_score":0.665319,"about_ca_system_score_codex":0.0003455812,"about_ca_system_score_gemma":0.00062171643,"threshold_uncertainty_score":0.786074},"labels":[],"label_agreement":null},{"id":"W4409787742","doi":"10.61091/jcmcc127a-498","title":"An Iterative Optimization Algorithm Study of Virtual Reality Technology in Self-Efficacy Enhancement for College Students","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Virtual reality; Computer science; Self-efficacy; Algorithm; Optimization algorithm; Psychology; Artificial intelligence; Mathematical optimization; Mathematics; Psychotherapist","score_opus":0.01630950682453737,"score_gpt":0.3431455555682853,"score_spread":0.32683604874374794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5506565,0.000028970795,0.44352674,0.00018446957,0.0049463804,0.00059652916,0.0000011348154,0.00002569124,0.000033549917],"genre_scores_gemma":[0.94749093,0.000005267536,0.052345674,0.0000101677915,0.00012055699,0.000011081369,9.988064e-7,0.000007996151,0.0000073571737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99771106,0.00023029403,0.0012305909,0.0002338858,0.0004105766,0.00018361275],"domain_scores_gemma":[0.9973438,0.0004897152,0.0009602386,0.000289966,0.0008503607,0.00006592102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019182166,0.00016722466,0.00054951035,0.0005909068,0.00019209142,0.00015727294,0.0008131249,0.00010653519,0.0000015981402],"category_scores_gemma":[0.00033660943,0.00016208985,0.00008427341,0.00082876085,0.000034486267,0.00026264938,0.00022117642,0.000280144,1.3200888e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055410343,0.021718815,0.0010538356,0.000096458,0.00020477206,0.000004483342,0.00923159,0.0031022704,0.00006160738,0.96132344,0.00007893963,0.003068377],"study_design_scores_gemma":[0.028101312,0.015104296,0.0019476217,0.0012081761,0.00019046974,0.00001757662,0.012765812,0.598218,0.0011016518,0.3406321,0.0002153325,0.00049765594],"about_ca_topic_score_codex":0.000006713538,"about_ca_topic_score_gemma":6.391453e-7,"teacher_disagreement_score":0.62069136,"about_ca_system_score_codex":0.00012675482,"about_ca_system_score_gemma":0.00019197808,"threshold_uncertainty_score":0.66098326},"labels":[],"label_agreement":null},{"id":"W4409787744","doi":"10.61091/jcmcc127a-500","title":"Research on the Application Path of Clustering Algorithm in New Media Art Creation under Big Data Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Path (computing); Big data; Data mining; Artificial intelligence; Algorithm; Computer network","score_opus":0.07744364106737185,"score_gpt":0.3384540012138679,"score_spread":0.2610103601464961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787744","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0822536,0.00023060497,0.9025316,0.001953717,0.010263408,0.000525579,0.000002546769,0.000020895519,0.002218028],"genre_scores_gemma":[0.99096006,0.00006297841,0.008300748,0.00002949303,0.00061678473,0.0000022007953,0.0000024374922,0.000010393383,0.000014880873],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997562,0.00017260903,0.00086474424,0.00025974144,0.0008946576,0.00024624763],"domain_scores_gemma":[0.99634874,0.0021628758,0.00047891666,0.00072070776,0.00018708616,0.00010169692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035700116,0.00015611669,0.0003966895,0.0002659077,0.00013350301,0.00021511823,0.0015963012,0.00009238861,0.0000011216995],"category_scores_gemma":[0.00039828577,0.00011657363,0.00005404212,0.0006088675,0.00009018085,0.00026490455,0.0013520675,0.0004572761,0.0000039008564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025531112,0.0004923269,0.000034037013,0.0000599695,0.00003550767,0.000004141419,0.0005421349,0.00009449979,0.00012985314,0.9336879,0.0005512224,0.06434283],"study_design_scores_gemma":[0.0018357893,0.00039593343,0.00033330376,0.0007886536,0.000018090659,0.000007424437,0.00048663167,0.13972186,0.0005274857,0.8542984,0.0014567239,0.00012967698],"about_ca_topic_score_codex":0.000013994043,"about_ca_topic_score_gemma":0.0000013436307,"teacher_disagreement_score":0.9087065,"about_ca_system_score_codex":0.00009928202,"about_ca_system_score_gemma":0.00028189385,"threshold_uncertainty_score":0.47537348},"labels":[],"label_agreement":null},{"id":"W4409787746","doi":"10.61091/jcmcc127a-485","title":"A quantitative study of stylistic differences between Giacometti and his contemporaries based on big data modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Big data; Computer science; Psychology; Artificial intelligence; Data mining","score_opus":0.15305001447283495,"score_gpt":0.39186707274468047,"score_spread":0.23881705827184552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91953665,0.0002948296,0.075633556,0.00025882167,0.0032149646,0.00028719162,0.000006177227,0.000015004863,0.00075278897],"genre_scores_gemma":[0.99517566,0.000017348993,0.0043548034,0.000013819892,0.00042072756,9.903871e-7,0.0000019609224,0.000009516572,0.0000051665415],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99682736,0.00071201666,0.0011409334,0.00025957898,0.00086233363,0.00019778464],"domain_scores_gemma":[0.99216723,0.005787874,0.0009653872,0.00025091943,0.0007080323,0.00012053147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046781534,0.00020595145,0.0009919979,0.00044240465,0.0005488294,0.00023305773,0.0005726253,0.00009905622,0.000002004493],"category_scores_gemma":[0.0025758676,0.00017433193,0.000088170935,0.00056287844,0.00020582213,0.00016243626,0.00028226688,0.00032073163,1.2951877e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021653654,0.0014254461,0.009873854,0.00018535543,0.00046918355,0.000007121417,0.0076988563,0.00052975776,0.00001225572,0.9683692,0.00003062634,0.011181838],"study_design_scores_gemma":[0.004818158,0.0018308415,0.0018702622,0.0006800016,0.00060001394,7.229964e-7,0.0122168055,0.29364464,0.000007863732,0.6839262,0.00012860385,0.00027584773],"about_ca_topic_score_codex":0.0002992178,"about_ca_topic_score_gemma":0.000015277543,"teacher_disagreement_score":0.29311487,"about_ca_system_score_codex":0.000049610404,"about_ca_system_score_gemma":0.00037568808,"threshold_uncertainty_score":0.710905},"labels":[],"label_agreement":null},{"id":"W4409787747","doi":"10.61091/jcmcc127a-510","title":"Artificial Intelligence-based Assessment of Regional Economic Cooperation Mechanisms and Benefits under the Belt and Road Strategy","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Regional science; Geography","score_opus":0.03406559727993722,"score_gpt":0.28061778553512184,"score_spread":0.24655218825518463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97249556,0.00017153827,0.01991524,0.0033074915,0.0030838337,0.00025912153,0.0000012500777,0.000021720678,0.00074426585],"genre_scores_gemma":[0.99826807,0.000021757418,0.0010914768,0.00017489701,0.00042681515,0.0000022293589,0.0000028232907,0.000010614741,0.0000013372523],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986702,0.000022270608,0.00082498975,0.00014302295,0.00019431225,0.00014517881],"domain_scores_gemma":[0.99838877,0.00029849706,0.00077798904,0.00013575936,0.00038464175,0.000014319374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011103353,0.00016656861,0.00038258964,0.00028800062,0.0003662108,0.00028817737,0.00020327265,0.00012837838,0.000004948089],"category_scores_gemma":[0.00007756902,0.00013170199,0.000053678108,0.0002816172,0.00018674681,0.00025354282,0.00016371688,0.00029984114,3.7222998e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021308886,0.00014539677,0.00018885187,0.000097855314,0.00006374423,8.5117733e-7,0.00002587296,0.0005743508,0.00029509416,0.99418837,0.00004853169,0.0043497924],"study_design_scores_gemma":[0.0006847419,0.0001272499,0.00077798276,0.00021536063,0.0001229232,0.000008108371,0.0007745698,0.053465158,0.0003985454,0.9432402,0.000057950136,0.00012717352],"about_ca_topic_score_codex":0.000054927412,"about_ca_topic_score_gemma":0.0000075835333,"teacher_disagreement_score":0.052890807,"about_ca_system_score_codex":0.000034643468,"about_ca_system_score_gemma":0.00012755145,"threshold_uncertainty_score":0.53706515},"labels":[],"label_agreement":null},{"id":"W4409787748","doi":"10.61091/jcmcc127a-504","title":"A Multi-Intelligent Body Simulation Study of Minor Crime Prevention","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Minor (academic); Crime prevention; Computer science; Psychology; Criminology; Political science; Law","score_opus":0.02110069009923914,"score_gpt":0.2939438537911046,"score_spread":0.27284316369186545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9490155,0.0001846695,0.04469653,0.000006203899,0.0053887656,0.00027707053,7.195662e-7,0.000036543523,0.00039399147],"genre_scores_gemma":[0.9980508,0.00001759109,0.0016787874,0.0000029108028,0.00021780864,0.0000014561114,9.0523554e-7,0.000016774204,0.000012934975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816954,0.00007604502,0.0011487927,0.00011264907,0.00033995157,0.00015299655],"domain_scores_gemma":[0.99851334,0.00031896663,0.0004744331,0.00014204295,0.0004787199,0.00007246885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006889308,0.00018600129,0.0006067095,0.00034717537,0.00009389885,0.0000776325,0.00017493503,0.000093593066,0.000008153193],"category_scores_gemma":[0.00020831291,0.00017548753,0.00017137246,0.00036676988,0.000022628199,0.00010937292,0.00006451686,0.00024050957,0.0000010543687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011522104,0.065424524,0.0122115575,0.009630889,0.01283233,0.00014289237,0.03419076,0.28591308,0.040873908,0.45310664,0.0012136585,0.08330753],"study_design_scores_gemma":[0.011307526,0.001545917,0.0019222051,0.0010237604,0.0009969022,0.000010941649,0.0036360996,0.86101776,0.0047082086,0.113172576,0.00022567264,0.0004324049],"about_ca_topic_score_codex":0.0000050410126,"about_ca_topic_score_gemma":5.772015e-7,"teacher_disagreement_score":0.5751047,"about_ca_system_score_codex":0.00005747646,"about_ca_system_score_gemma":0.00003874446,"threshold_uncertainty_score":0.71561736},"labels":[],"label_agreement":null},{"id":"W4409787750","doi":"10.61091/jcmcc127a-529","title":"Construction of Personalized Service System of Digital Resource Library Based on Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Resource (disambiguation); Service (business); Digital library; Artificial intelligence; World Wide Web; Business","score_opus":0.02264157344849778,"score_gpt":0.2907604151069302,"score_spread":0.2681188416584324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776717,0.00023175587,0.009748125,0.00077044,0.0037581772,0.0005076917,0.000012330319,0.000032136606,0.0072676647],"genre_scores_gemma":[0.9968707,0.000008664133,0.0027858713,0.000025584739,0.00028154382,9.71594e-7,0.0000040769564,0.000014531823,0.000008077799],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975931,0.000085978056,0.001137972,0.00014309974,0.00084843836,0.00019141997],"domain_scores_gemma":[0.9971646,0.0011531267,0.0007900257,0.00019265925,0.000498199,0.0002013955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000656716,0.00017245373,0.00081638305,0.0003261677,0.000080449274,0.000058424783,0.00018410599,0.00013070037,0.000011647142],"category_scores_gemma":[0.0009352616,0.00013554633,0.00018241518,0.00053245027,0.00017135305,0.00009915983,0.000092563685,0.00034179827,9.057852e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023547302,0.001462617,0.0007211677,0.0027143054,0.00026580805,0.000047050235,0.00026569667,0.000020564794,0.0003233261,0.9837167,0.000082423045,0.008025597],"study_design_scores_gemma":[0.017474558,0.008622269,0.00028675832,0.01985718,0.0009472674,0.00022723303,0.005776342,0.08272839,0.041897446,0.82101595,0.0007232301,0.00044339293],"about_ca_topic_score_codex":0.0000029684302,"about_ca_topic_score_gemma":2.270741e-8,"teacher_disagreement_score":0.16270079,"about_ca_system_score_codex":0.00006399119,"about_ca_system_score_gemma":0.00047604254,"threshold_uncertainty_score":0.5527419},"labels":[],"label_agreement":null},{"id":"W4409787752","doi":"10.61091/jcmcc127a-521","title":"Deep Learning-based Visitor Behavior Analysis and Prediction for Rural Tourism Intelligent Platforms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Visitor pattern; Tourism; Computer science; Deep learning; Artificial intelligence; Data science; Geography; Archaeology","score_opus":0.009450849073582212,"score_gpt":0.28165561264451133,"score_spread":0.2722047635709291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.954393,0.0002759995,0.029954297,0.00018942225,0.013401988,0.0004961461,0.000002798228,0.00005775819,0.0012285504],"genre_scores_gemma":[0.9974213,0.000056055058,0.0012704931,0.000017386483,0.001167859,0.000008039795,0.0000032568528,0.00001451775,0.000041065603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99801993,0.00011354157,0.0008276762,0.00016515708,0.0005494196,0.00032428524],"domain_scores_gemma":[0.9966042,0.0017764214,0.0006864571,0.00009762869,0.0006283023,0.00020696007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027792433,0.00019518402,0.00065096386,0.00038436538,0.0008444868,0.00042611276,0.00023464016,0.00022077945,0.000003829987],"category_scores_gemma":[0.0022455312,0.00018121224,0.00027995877,0.000615742,0.00018458598,0.00019368889,0.00007914811,0.00035822386,2.4559114e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047528677,0.0012015721,0.0209782,0.0003690852,0.0010464403,0.000014358035,0.012394888,0.00028328644,0.00007473141,0.9170148,0.00024686925,0.04590053],"study_design_scores_gemma":[0.010269832,0.0024511712,0.0095572965,0.001098585,0.004414022,0.0000071697496,0.025414288,0.047057807,0.00035272434,0.8904773,0.007985444,0.0009143854],"about_ca_topic_score_codex":0.000049305876,"about_ca_topic_score_gemma":0.0000075994985,"teacher_disagreement_score":0.04677452,"about_ca_system_score_codex":0.00014316296,"about_ca_system_score_gemma":0.00020358225,"threshold_uncertainty_score":0.73896205},"labels":[],"label_agreement":null},{"id":"W4409787753","doi":"10.61091/jcmcc127a-489","title":"Studying the Interactive Efficiency of Social Media in English Language Education Based on Time Series Prediction Algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Series (stratigraphy); Computer science; Social media; Time series; Artificial intelligence; Algorithm; Natural language processing; Machine learning; World Wide Web","score_opus":0.00958718163159875,"score_gpt":0.28249952996775646,"score_spread":0.2729123483361577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9594199,0.00017887552,0.012205211,0.0010374786,0.024890276,0.00030691674,0.0000024668625,0.000050825543,0.0019080306],"genre_scores_gemma":[0.9967022,0.000004213799,0.0026465838,0.0000314966,0.0005960247,0.0000037926845,0.0000011684632,0.0000061563014,0.000008384957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99846977,0.00016667962,0.0006896959,0.00015409039,0.00036787713,0.00015190373],"domain_scores_gemma":[0.996957,0.0016862063,0.00064119766,0.0001909717,0.0004938169,0.000030805724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014681596,0.00014253867,0.0003776748,0.00037712863,0.00019676892,0.00008695735,0.00060240325,0.0001219844,0.0000025495635],"category_scores_gemma":[0.0012345308,0.000113206035,0.000079140475,0.00060474477,0.00009679156,0.00022380649,0.00014846625,0.00047117463,5.1357665e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068731664,0.0012964548,0.00025303027,0.000074659394,0.000039592553,0.000002358812,0.028097581,0.00007305165,0.00021068945,0.9622692,0.00020558285,0.007409076],"study_design_scores_gemma":[0.006089497,0.0013882598,0.004340078,0.0015168423,0.00011784931,0.00002891271,0.026555253,0.07055415,0.0052439678,0.88325953,0.00048106964,0.0004246076],"about_ca_topic_score_codex":0.0000035425016,"about_ca_topic_score_gemma":4.9168426e-7,"teacher_disagreement_score":0.07900968,"about_ca_system_score_codex":0.00009413593,"about_ca_system_score_gemma":0.00049515563,"threshold_uncertainty_score":0.4616408},"labels":[],"label_agreement":null},{"id":"W4409787754","doi":"10.61091/jcmcc127a-516","title":"Machine learning in corporate M and A valuation: an empirical study based on big data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Big data; Empirical research; Business; Computer science; Data science; Accounting; Data mining; Statistics; Mathematics","score_opus":0.22431327436796128,"score_gpt":0.40919571718292763,"score_spread":0.18488244281496635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837417,0.0001432098,0.007561101,0.00066775526,0.0073431875,0.0002793518,0.0000066153575,0.000015287202,0.00024179868],"genre_scores_gemma":[0.99856895,0.000014998168,0.0007458835,0.0001163884,0.0005267508,6.99771e-7,0.0000061361757,0.000011289089,0.0000088859815],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99596983,0.00058193423,0.001406811,0.00039639315,0.0014083809,0.00023667532],"domain_scores_gemma":[0.9951266,0.0023062641,0.0011989733,0.0005666924,0.0006461654,0.0001552848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012737637,0.00023560446,0.0008117915,0.00046849027,0.0003664599,0.00081185036,0.0008896106,0.00012918115,0.000004775365],"category_scores_gemma":[0.004478846,0.00016857145,0.00006764015,0.0010196475,0.00008394342,0.0004069422,0.0005048713,0.00060985883,8.722483e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019574123,0.016056985,0.5739852,0.00025847345,0.0002793416,0.00025261118,0.009256522,0.002111774,0.00014515124,0.20289564,0.0016618865,0.19113897],"study_design_scores_gemma":[0.010452889,0.0025922104,0.031973377,0.00030884467,0.00009067726,0.000015976088,0.0026923525,0.43587157,0.000013577428,0.51465154,0.001044426,0.00029258546],"about_ca_topic_score_codex":0.000023404518,"about_ca_topic_score_gemma":0.0000038999597,"teacher_disagreement_score":0.54201186,"about_ca_system_score_codex":0.00004724255,"about_ca_system_score_gemma":0.00034915004,"threshold_uncertainty_score":0.7828692},"labels":[],"label_agreement":null},{"id":"W4409787756","doi":"10.61091/jcmcc127a-505","title":"Neural Network-based Market Fluctuation Prediction Model Construction and Corporate Strategy Research in Business Administration","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Business; Administration (probate law); Computer science; Econometrics; Artificial intelligence; Economics; Political science","score_opus":0.04660420594970642,"score_gpt":0.2996737666942092,"score_spread":0.25306956074450276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7358544,0.00029348687,0.25415653,0.00023695204,0.0070942077,0.00047914853,0.0000031165462,0.000068639776,0.0018135161],"genre_scores_gemma":[0.99066436,0.00008292108,0.008896601,0.000009238506,0.00031567446,0.000003657221,0.0000054618904,0.000017172257,0.0000048883294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981401,0.00016147716,0.00089578336,0.00014429919,0.0004443109,0.00021405783],"domain_scores_gemma":[0.9982405,0.00035717525,0.0003477584,0.00010929449,0.0008697148,0.00007556896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024204282,0.00016433603,0.0003435162,0.00039996146,0.00018160143,0.00022347065,0.000104087994,0.00016432504,0.0000035478156],"category_scores_gemma":[0.00017992582,0.00017065112,0.00003385389,0.00075769855,0.00008312299,0.000284801,0.00003666372,0.0004053358,1.6696478e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009937091,0.00007841191,0.00034847463,0.0002199392,0.000020300733,0.0000026346368,0.00009652924,0.74728227,0.00013251702,0.24920686,0.00021243954,0.0023002538],"study_design_scores_gemma":[0.0018657746,0.00009847399,0.000416574,0.00024435675,0.00002206541,0.000009395683,0.00006565805,0.6923923,0.00007180514,0.30472142,0.000010512989,0.00008164599],"about_ca_topic_score_codex":0.000001683975,"about_ca_topic_score_gemma":0.0000011909955,"teacher_disagreement_score":0.25480998,"about_ca_system_score_codex":0.00011955866,"about_ca_system_score_gemma":0.00026202013,"threshold_uncertainty_score":0.6958951},"labels":[],"label_agreement":null},{"id":"W4409787760","doi":"10.61091/jcmcc127a-512","title":"Simulated annealing algorithm-based scheduling optimization of lean manufacturing line and evaluation of the calibration effect of electrical measuring instruments","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Simulated annealing; Calibration; Computer science; Scheduling (production processes); Lean manufacturing; Algorithm; Industrial engineering; Manufacturing engineering; Engineering; Mathematics; Operations management","score_opus":0.010607790149217491,"score_gpt":0.2420959068308305,"score_spread":0.231488116681613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87809163,0.000273837,0.11943498,0.000007600034,0.0018512547,0.00029038967,0.0000010838984,0.000015399,0.000033849563],"genre_scores_gemma":[0.9929418,0.000024776706,0.0069178813,0.0000014754526,0.000093041424,8.5136304e-7,0.0000017956627,0.000018116825,2.7183927e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99801964,0.000118325705,0.0010244872,0.00010789863,0.0005952366,0.00013440425],"domain_scores_gemma":[0.99815375,0.000379897,0.00082530035,0.00012858679,0.00047147996,0.000040986357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018336457,0.00018142529,0.0005469177,0.0002411147,0.00010198568,0.000040492643,0.00016073816,0.0001325453,0.000001521392],"category_scores_gemma":[0.00038877907,0.00014558199,0.000092264374,0.00028862595,0.000043813376,0.0001363453,0.000063213265,0.00023887533,7.65578e-9],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058338803,0.00006414759,0.00027003896,0.0009596662,0.00009680681,1.6242126e-7,0.00017047593,0.9874222,0.0007421458,0.0015487847,6.0919376e-7,0.008666572],"study_design_scores_gemma":[0.002856897,0.00018718035,0.00008152813,0.00083145336,0.0002077793,0.0000015314886,0.000017481852,0.75871706,0.23058213,0.0064385016,5.3531306e-7,0.00007792433],"about_ca_topic_score_codex":0.0000063993675,"about_ca_topic_score_gemma":1.1241497e-7,"teacher_disagreement_score":0.22984,"about_ca_system_score_codex":0.00007194732,"about_ca_system_score_gemma":0.00008449911,"threshold_uncertainty_score":0.5936661},"labels":[],"label_agreement":null},{"id":"W4409787762","doi":"10.61091/jcmcc127a-518","title":"Research on Civil Engineering Project Management Efficiency Improvement Based on BIM Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Engineering; Engineering management; Construction engineering; Project management; Systems engineering","score_opus":0.011632025372123198,"score_gpt":0.2684301973533815,"score_spread":0.25679817198125826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79959434,0.0005575415,0.097271,0.0005344703,0.05983566,0.0016928861,0.000003941953,0.0005206656,0.039989475],"genre_scores_gemma":[0.99791557,0.000023687462,0.0016652412,0.000013913858,0.0003347079,0.000010819476,4.8058365e-7,0.000024257713,0.0000113144215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815005,0.00003895825,0.00070180354,0.00017825085,0.000607358,0.00032360308],"domain_scores_gemma":[0.9988323,0.0003625312,0.0001635198,0.00024077564,0.00034197903,0.000058922014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012197027,0.00022692377,0.0003831129,0.0014548191,0.00020308969,0.00014692846,0.00030613694,0.00017190265,0.000003651377],"category_scores_gemma":[0.00011549048,0.0002025308,0.000093244,0.0010978454,0.00005643626,0.000058612455,0.000079970676,0.0007749811,0.0000022628706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000481035,0.00028749442,0.000013910862,0.00035952224,0.00008085979,0.000010889373,0.00006476094,0.007467488,0.00044169684,0.983225,0.00045327414,0.0075470274],"study_design_scores_gemma":[0.007123987,0.0029386696,0.000053377502,0.0031697964,0.00010722479,0.000021902923,0.0011855111,0.508535,0.011072378,0.46004868,0.0052124974,0.000530966],"about_ca_topic_score_codex":0.0000012616348,"about_ca_topic_score_gemma":1.8309657e-7,"teacher_disagreement_score":0.5231763,"about_ca_system_score_codex":0.000235586,"about_ca_system_score_gemma":0.00007905199,"threshold_uncertainty_score":0.8258967},"labels":[],"label_agreement":null},{"id":"W4409787764","doi":"10.61091/jcmcc127a-499","title":"Research on Random Forest-based Pattern Recognition Method for Conservation of Cultural Heritage of Mural Paintings in Tomb Chambers","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mural; Painting; Cultural heritage; Random forest; Art; Archaeology; Geography; Visual arts; Artificial intelligence; Computer science","score_opus":0.0645272982952036,"score_gpt":0.3339040283672912,"score_spread":0.2693767300720876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930068,0.00006619819,0.0020622865,0.00029225534,0.0035507071,0.0004971931,0.000013821206,0.000010308116,0.00050040806],"genre_scores_gemma":[0.9958094,0.0000065783715,0.0036959585,0.00003434128,0.00040757935,0.000008344129,0.00000891607,0.00001671576,0.00001218511],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972412,0.0003642725,0.0014746872,0.00016949871,0.000501275,0.00024904902],"domain_scores_gemma":[0.9944043,0.0024391676,0.0011330309,0.00013693735,0.0018373751,0.0000491578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004533726,0.00019787539,0.0009248829,0.00036477897,0.0002312223,0.00021502373,0.00022301597,0.000111592584,0.000019625506],"category_scores_gemma":[0.0008991008,0.00015843441,0.00025358843,0.0002374475,0.00020270694,0.00017108125,0.00006963278,0.0002890546,3.0995133e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003049702,0.0018822841,0.00090147054,0.00417512,0.0004813136,0.000011668065,0.030009473,0.00044398953,0.004810253,0.9432866,0.00090852176,0.010039578],"study_design_scores_gemma":[0.033624727,0.0037442166,0.0004581192,0.006830896,0.00046874039,0.0000071913946,0.034955416,0.1071106,0.012589328,0.79827756,0.0012807434,0.00065246643],"about_ca_topic_score_codex":0.00039287165,"about_ca_topic_score_gemma":0.00005991009,"teacher_disagreement_score":0.14500907,"about_ca_system_score_codex":0.00008470987,"about_ca_system_score_gemma":0.00010555845,"threshold_uncertainty_score":0.6460768},"labels":[],"label_agreement":null},{"id":"W4409787768","doi":"10.61091/jcmcc127a-479","title":"Research on the strategy of teaching Internet of Things communication with base group intelligence algorithm in enhancing teaching interactivity","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Hainan Province","keywords":"Interactivity; Computer science; Group (periodic table); The Internet; Base (topology); Multimedia; Internet of Things; World Wide Web; Mathematics; Chemistry","score_opus":0.04010604905047461,"score_gpt":0.36256655031868107,"score_spread":0.32246050126820647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6512709,0.00021858154,0.3438256,0.0008057039,0.0017821679,0.00024128213,3.842239e-7,0.000016136211,0.001839211],"genre_scores_gemma":[0.95975614,0.000017696228,0.040120818,0.000022595092,0.00006601062,0.0000025966383,3.154768e-7,0.000007930558,0.000005894451],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970847,0.0008923598,0.0010367163,0.0001996848,0.0005600672,0.00022648914],"domain_scores_gemma":[0.991195,0.006799744,0.0009869853,0.0004714013,0.00050348724,0.000043355598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010307352,0.00016708899,0.0004984219,0.00056533987,0.00025223766,0.000119507626,0.0014231566,0.00013145246,0.0000018010821],"category_scores_gemma":[0.0010327267,0.00012136233,0.00007166914,0.00050928764,0.00021331757,0.0004119421,0.00054428517,0.002114448,2.727155e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049062404,0.0007120774,0.00011330144,0.00009739582,0.00004905766,0.0000030742806,0.0043399762,0.000037510566,0.0004352915,0.9559093,0.000021193764,0.038232774],"study_design_scores_gemma":[0.00077526964,0.0010039512,0.00025417103,0.0029079476,0.00001788252,0.000027866618,0.0047117816,0.05058323,0.009931379,0.92961603,0.00003760957,0.00013285286],"about_ca_topic_score_codex":0.00014091356,"about_ca_topic_score_gemma":0.000003405012,"teacher_disagreement_score":0.3084852,"about_ca_system_score_codex":0.000108091146,"about_ca_system_score_gemma":0.00025084824,"threshold_uncertainty_score":0.9186342},"labels":[],"label_agreement":null},{"id":"W4409787769","doi":"10.61091/jcmcc127a-501","title":"Exploration of Teaching Reform of Soil and Water Conservation and Desertification Control Specialty Based on Numerical Optimization Algorithm–Taking Soil and Water Conservation Planning and Design Course as an Example","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Course (navigation); Soil conservation; Desertification; Control (management); Environmental science; Water conservation; Computer science; Agricultural engineering; Water resources; Engineering; Geography; Ecology; Artificial intelligence","score_opus":0.05370223275910748,"score_gpt":0.3242892627310905,"score_spread":0.27058702997198303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.804501,0.00009835486,0.19388862,0.00060026895,0.00043538806,0.00040037595,0.000001237705,0.000009454714,0.00006531494],"genre_scores_gemma":[0.989085,0.000038109403,0.010617693,0.000067680776,0.00015349955,0.000004286225,0.000015835249,0.000014886277,0.000002965379],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980722,0.00023568016,0.00079862715,0.00020456781,0.0004938807,0.00019505076],"domain_scores_gemma":[0.9980128,0.00068429636,0.00052447047,0.00012332574,0.00047217196,0.00018297597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022503887,0.00018183434,0.0005876132,0.00020913742,0.00024307218,0.00009865688,0.000053826974,0.00013732113,0.0000027559608],"category_scores_gemma":[0.00055960694,0.00012515306,0.000032593023,0.000084484636,0.0001368963,0.00032607644,0.000048989532,0.000279118,7.016504e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.029272681,0.014683969,0.06281508,0.01111199,0.0031123562,0.00026421537,0.043695096,0.012105235,0.06671831,0.61462367,0.0002680854,0.1413293],"study_design_scores_gemma":[0.014734331,0.0035584026,0.002182579,0.0015851408,0.00036435717,0.000041022868,0.0011484748,0.8758051,0.01492432,0.08546313,0.000015663785,0.00017747804],"about_ca_topic_score_codex":0.00015816846,"about_ca_topic_score_gemma":8.9879734e-7,"teacher_disagreement_score":0.86369985,"about_ca_system_score_codex":0.00006733136,"about_ca_system_score_gemma":0.00013299064,"threshold_uncertainty_score":0.5103594},"labels":[],"label_agreement":null},{"id":"W4409787771","doi":"10.61091/jcmcc127a-488","title":"Optimal Design of Pitch Adjustment in AI Models for Opera Vocal Interpretation Based on Support Vector Regression","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Opera; Regression; Computer science; Speech recognition; Regression analysis; Artificial intelligence; Natural language processing; Mathematics; Machine learning; Statistics; History; Programming language","score_opus":0.020349696535031585,"score_gpt":0.28794737221302563,"score_spread":0.26759767567799403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787771","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028150275,0.00011166519,0.9636533,0.00046309622,0.007010846,0.00040701564,7.169835e-7,0.000018198198,0.00018483475],"genre_scores_gemma":[0.9103413,0.000007270032,0.08924902,0.00016024735,0.00021850184,0.0000058784567,7.2061687e-7,0.0000131377865,0.0000038928697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976548,0.00013611202,0.0011694339,0.00025791768,0.0005143533,0.0002673806],"domain_scores_gemma":[0.9972953,0.0009829273,0.0008477355,0.00024053981,0.0005455946,0.000087900626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019462792,0.00024128868,0.0007093217,0.00038712946,0.00013182043,0.00017195616,0.00060227735,0.00014185839,0.0000014936224],"category_scores_gemma":[0.00032891732,0.0001999028,0.00014319339,0.0003982364,0.000047189205,0.00039084756,0.00017310989,0.00033220503,1.957227e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006960342,0.0012471946,0.000025298503,0.0006424159,0.00006019996,0.000011622414,0.0022538798,0.092531055,0.0008680718,0.88518596,0.0007099491,0.015768321],"study_design_scores_gemma":[0.0039149756,0.0010653083,0.000018734954,0.0014658953,0.00002909933,0.0000050475082,0.0000602238,0.75973326,0.0028741427,0.2306709,0.000024490017,0.00013789824],"about_ca_topic_score_codex":0.0000027399653,"about_ca_topic_score_gemma":6.196488e-8,"teacher_disagreement_score":0.88219106,"about_ca_system_score_codex":0.00012898419,"about_ca_system_score_gemma":0.0005041775,"threshold_uncertainty_score":0.81517994},"labels":[],"label_agreement":null},{"id":"W4409787772","doi":"10.61091/jcmcc127a-528","title":"A deep learning-based action recognition and confrontation analysis system for sparring players","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Action (physics); Artificial intelligence; Psychology; Computer science","score_opus":0.02064685131559981,"score_gpt":0.2747281916719614,"score_spread":0.2540813403563616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787772","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1291269,0.00007643209,0.86840695,0.00007062206,0.0018704958,0.0002578429,6.581966e-7,0.00008290444,0.00010719696],"genre_scores_gemma":[0.96321785,0.000012447033,0.03655345,0.000013911599,0.0001753992,0.000012352047,0.0000023042373,0.000008279289,0.0000039992906],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867845,0.000070834496,0.000664425,0.00020771706,0.0002206022,0.0001579531],"domain_scores_gemma":[0.99787635,0.0005528867,0.0008264607,0.00014325083,0.00052100664,0.000080044774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010072837,0.00015279015,0.00043492773,0.00045660255,0.00040485908,0.0003143275,0.00021711571,0.00011545268,5.543196e-7],"category_scores_gemma":[0.0001539707,0.00015117833,0.00015801688,0.0006226813,0.000031940945,0.00022391684,0.00007438871,0.00022307533,3.1145538e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101794314,0.00021793273,0.00029218453,0.00054689037,0.0004580812,0.0000024952026,0.0005707004,0.0015975725,0.00080160546,0.96041995,0.00002835061,0.034962464],"study_design_scores_gemma":[0.0024667128,0.00048129098,0.000222514,0.00023039602,0.0004920658,0.000016549273,0.0004970681,0.8054546,0.004300238,0.18533845,0.00029706594,0.0002030256],"about_ca_topic_score_codex":0.000010729328,"about_ca_topic_score_gemma":9.41215e-7,"teacher_disagreement_score":0.83409095,"about_ca_system_score_codex":0.00011214664,"about_ca_system_score_gemma":0.000069649504,"threshold_uncertainty_score":0.6164873},"labels":[],"label_agreement":null},{"id":"W4409787773","doi":"10.61091/jcmcc127a-480","title":"Applying meta-analysis and structural equation modelling (SEM) to explore the path of corporate marketing strategies on consumer purchase intention","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Path analysis (statistics); Path (computing); Marketing; Business; Mathematics; Computer science; Statistics","score_opus":0.20754489109177057,"score_gpt":0.37157124184595514,"score_spread":0.16402635075418456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86020064,0.00027811946,0.1366086,0.0003632253,0.0020967468,0.00036553366,0.0000027815126,0.000017125145,0.00006719315],"genre_scores_gemma":[0.9943541,0.000015463738,0.0055012275,0.000035473007,0.000066048146,0.000008211992,8.27209e-7,0.000009875299,0.000008761868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99636465,0.0004031575,0.0017100219,0.00029195021,0.0010256734,0.00020452851],"domain_scores_gemma":[0.99352247,0.00248838,0.0022815785,0.0004507308,0.0011640332,0.00009282257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075514726,0.00024248054,0.0011638089,0.00083685556,0.00039035443,0.00047439346,0.0006469047,0.0001436607,0.000010761717],"category_scores_gemma":[0.0021734752,0.0001520157,0.00044324147,0.001320457,0.00014555802,0.00023419729,0.00034407256,0.00044903014,7.739133e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039791706,0.00022008509,0.0030941644,0.00007431669,0.005996879,0.000009021531,0.0023704285,0.009512647,0.0004962971,0.973011,0.00009285161,0.0047243945],"study_design_scores_gemma":[0.0011580973,0.00024537896,0.0007600335,0.00008544357,0.00750777,0.000010042882,0.0065326234,0.1003662,0.00032446504,0.8827899,0.000050758958,0.00016931015],"about_ca_topic_score_codex":0.000011626901,"about_ca_topic_score_gemma":7.993837e-7,"teacher_disagreement_score":0.13415344,"about_ca_system_score_codex":0.000034929555,"about_ca_system_score_gemma":0.00008981689,"threshold_uncertainty_score":0.619902},"labels":[],"label_agreement":null},{"id":"W4409787775","doi":"10.61091/jcmcc127a-494","title":"Application and Optimization of 3D Model Building Technology in Film and Television Special Effects","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Architectural engineering; Engineering","score_opus":0.005825814145658313,"score_gpt":0.24526567372644015,"score_spread":0.23943985958078184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5334239,0.0002932989,0.46500903,0.000040647898,0.00087245577,0.00018367208,4.3129435e-7,0.000023645434,0.00015289187],"genre_scores_gemma":[0.9601402,0.00011461922,0.039551962,0.000003985498,0.00017268347,0.0000028356214,5.3827824e-7,0.000012467678,7.044805e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903363,0.000016656435,0.00059436227,0.00010881511,0.00013730025,0.00010922216],"domain_scores_gemma":[0.99919415,0.00027790316,0.00022504109,0.000101739744,0.00016089986,0.000040275518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040797223,0.00012399648,0.00036610104,0.00038631394,0.00007116595,0.000037783793,0.00009317097,0.00014116228,3.1458964e-7],"category_scores_gemma":[0.00015863351,0.00012726407,0.00002397804,0.0003263586,0.00004453221,0.00008079916,0.0000725613,0.00020547769,4.8378563e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016256727,0.00008160126,0.00020884485,0.0003211929,0.000022154412,4.833396e-7,0.0002750385,0.48620084,0.0020382376,0.50416297,0.00001265534,0.006659729],"study_design_scores_gemma":[0.0013753317,0.000039680446,0.000044125838,0.000248873,0.00002671729,0.000004122651,0.00003956569,0.7359371,0.000709928,0.26148766,0.000016743852,0.00007010535],"about_ca_topic_score_codex":0.0000014632105,"about_ca_topic_score_gemma":1.0215473e-7,"teacher_disagreement_score":0.42671627,"about_ca_system_score_codex":0.000043520064,"about_ca_system_score_gemma":0.00003131454,"threshold_uncertainty_score":0.5189678},"labels":[],"label_agreement":null},{"id":"W4409787776","doi":"10.61091/jcmcc127a-486","title":"Research on Multi-objective Optimization Algorithm for Optimal Design of Art Education Curriculum Based on Emotional Learning Model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Curriculum; Computer science; Social emotional learning; Machine learning; Artificial intelligence; Mathematics education; Algorithm; Psychology; Pedagogy; Developmental psychology","score_opus":0.038676059357832394,"score_gpt":0.3471597851810041,"score_spread":0.3084837258231717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787776","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00790811,0.000028789014,0.9848105,0.00012743067,0.0060921316,0.000495774,0.0000013218984,0.00002535949,0.0005105843],"genre_scores_gemma":[0.5231625,0.000006577996,0.47647434,0.000020404583,0.00027865038,0.000010949702,0.0000025332868,0.000015609952,0.000028453342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99760085,0.00022659992,0.0007832265,0.0002794753,0.0008203979,0.00028947418],"domain_scores_gemma":[0.99540085,0.001770399,0.00062312704,0.00020178212,0.0018804907,0.00012337658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002580063,0.00021171987,0.00047711746,0.0005362547,0.0003239993,0.00025159356,0.0005215902,0.00013312344,8.468969e-7],"category_scores_gemma":[0.00073575083,0.00019201325,0.00014200794,0.0006343181,0.00007360135,0.00030643327,0.00015015902,0.0005018303,0.0000010824343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007036518,0.0023029454,0.0000076162455,0.00011314667,0.00004245341,0.0000012806033,0.00022507014,0.44428372,0.000031699674,0.54217196,0.00026327968,0.010486461],"study_design_scores_gemma":[0.0026212877,0.0025567268,0.000006561458,0.001075062,0.000021417683,0.0000033185727,0.00020909935,0.88916504,0.0006199824,0.10354778,0.000034310844,0.00013939402],"about_ca_topic_score_codex":0.0000011373198,"about_ca_topic_score_gemma":1.0588101e-8,"teacher_disagreement_score":0.5152544,"about_ca_system_score_codex":0.00015197664,"about_ca_system_score_gemma":0.000811734,"threshold_uncertainty_score":0.78300726},"labels":[],"label_agreement":null},{"id":"W4409787777","doi":"10.61091/jcmcc127a-525","title":"Research on fuzzy logic-based virtual power plant market trading model under decentralized trading mechanism","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Fuzzy logic; Virtual power plant; Computer science; Business; Industrial organization; Power (physics); Artificial intelligence; Distributed generation","score_opus":0.032663698536668964,"score_gpt":0.28643889981360143,"score_spread":0.2537752012769325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7606937,0.00069134316,0.09775366,0.00029557064,0.11067638,0.00081543124,0.000017061742,0.0002618479,0.028794963],"genre_scores_gemma":[0.9974855,0.000028317043,0.0011950075,0.00005100816,0.0011588675,0.0000041120193,0.0000016722156,0.000058996142,0.00001648957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99657965,0.00024101503,0.0012508507,0.00026652848,0.0010061928,0.00065574114],"domain_scores_gemma":[0.99677914,0.0020179448,0.00031757762,0.00030055008,0.0003308255,0.0002539871],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0035601982,0.00040639244,0.0009347988,0.00068053114,0.00039630386,0.0003383676,0.0005237536,0.0003075975,0.000019013405],"category_scores_gemma":[0.00025647986,0.0003667958,0.00024030775,0.00056772697,0.00007254126,0.00014871429,0.00008838791,0.0011012747,0.0000018952353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020607057,0.00031012605,0.000012759032,0.00022887251,0.00018348849,0.000030458907,0.0005887949,0.005307844,0.0011643,0.9808197,0.011070886,0.00007670478],"study_design_scores_gemma":[0.0045980685,0.0005705039,0.00001521351,0.0011574769,0.00006202787,0.000030441695,0.0006749915,0.51716924,0.0017303252,0.47295412,0.0007069273,0.0003306857],"about_ca_topic_score_codex":0.0000029941225,"about_ca_topic_score_gemma":2.653027e-7,"teacher_disagreement_score":0.5118614,"about_ca_system_score_codex":0.00031900135,"about_ca_system_score_gemma":0.00020831224,"threshold_uncertainty_score":0.9998784},"labels":[],"label_agreement":null},{"id":"W4409787778","doi":"10.61091/jcmcc127a-484","title":"A Study on Improving Organizational Structure and Cultural Alignment Based on Iterative Computing in Enterprise Digital Transformation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Digital transformation; Organizational structure; Computer science; Knowledge management; Process management; Business; Management; World Wide Web","score_opus":0.021232434055116566,"score_gpt":0.31713977294237394,"score_spread":0.2959073388872574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904925,0.000019290177,0.005272485,0.0003107245,0.0032905557,0.00038315408,0.000005687813,0.000022900553,0.00020267842],"genre_scores_gemma":[0.9993039,9.999292e-7,0.0004893277,0.00006432477,0.00012475184,7.9851e-7,0.0000017397725,0.000010544484,0.0000036076692],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970214,0.0001674761,0.0013360395,0.00028355778,0.0009908157,0.00020074648],"domain_scores_gemma":[0.9972864,0.0011411135,0.0007765869,0.00019082359,0.00052119995,0.000083878214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015460365,0.0002502179,0.000574029,0.00066448905,0.0002762387,0.0007260158,0.0003637256,0.00014680918,0.0000046579266],"category_scores_gemma":[0.0013149517,0.00018693497,0.00007772635,0.0006715692,0.000068886526,0.00033044966,0.00013642634,0.00052728795,9.023141e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008108989,0.004955477,0.14842552,0.00010075943,0.00014096627,0.000095211835,0.027144171,0.0015401248,0.0005802729,0.79519975,0.00016456367,0.020842304],"study_design_scores_gemma":[0.032417532,0.005767425,0.09367508,0.0014905673,0.00015800043,0.00008968911,0.028598333,0.118099846,0.0015053384,0.71716,0.00014765999,0.0008905381],"about_ca_topic_score_codex":0.0000016606008,"about_ca_topic_score_gemma":4.4606207e-7,"teacher_disagreement_score":0.11655972,"about_ca_system_score_codex":0.0001282135,"about_ca_system_score_gemma":0.000101665726,"threshold_uncertainty_score":0.7622987},"labels":[],"label_agreement":null},{"id":"W4409787780","doi":"10.61091/jcmcc127a-497","title":"Paradigm Construction and Improvement Strategy of English Long Text Translation Based on Self-Attention Mechanism","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Translation (biology); Computer science; Linguistics; Natural language processing; Psychology; Cognitive psychology; Artificial intelligence; Chemistry; Philosophy; Epistemology; Biochemistry","score_opus":0.008324028699106954,"score_gpt":0.2380519879152561,"score_spread":0.22972795921614916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98246884,0.000025842164,0.009302372,0.00014603153,0.005467551,0.00024973645,0.0000014429863,0.000013623532,0.0023245574],"genre_scores_gemma":[0.9946706,0.000015011103,0.0050583854,0.00002068605,0.00022039894,0.0000018642029,0.0000017979603,0.00000789458,0.0000033073381],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985793,0.000034976347,0.00072475127,0.00013754034,0.00039257816,0.00013082454],"domain_scores_gemma":[0.9987988,0.00024045547,0.00062918605,0.0001049577,0.0001670819,0.000059535756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079043215,0.00013959696,0.0002827443,0.00013848515,0.00016943224,0.00006711749,0.00010720502,0.00009126177,0.0000139106705],"category_scores_gemma":[0.00013505465,0.000120512996,0.00006490898,0.00029405672,0.000071469745,0.00019561425,0.000041155603,0.00019638283,3.7800407e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004660395,0.00058608537,0.0012953329,0.00012690994,0.00004620192,6.222162e-7,0.0004485393,0.00022440478,0.0016287222,0.9834535,0.000033514592,0.012109548],"study_design_scores_gemma":[0.004117397,0.0011916555,0.0058267545,0.00039473845,0.0001263368,0.00000609276,0.0005559633,0.019799484,0.0038356434,0.9636408,0.00028637034,0.00021877632],"about_ca_topic_score_codex":0.000012519636,"about_ca_topic_score_gemma":5.907617e-7,"teacher_disagreement_score":0.019812727,"about_ca_system_score_codex":0.00011040757,"about_ca_system_score_gemma":0.000076897646,"threshold_uncertainty_score":0.49143773},"labels":[],"label_agreement":null},{"id":"W4409787781","doi":"10.61091/jcmcc127a-483","title":"Social media advertisement optimization algorithm based on fuzzy set theory and its effect on purchasing behavior","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Purchasing; Advertising; Fuzzy logic; Social media; Computer science; Set (abstract data type); Fuzzy set; Algorithm; Artificial intelligence; Marketing; Business; World Wide Web","score_opus":0.01284667310039395,"score_gpt":0.29477295097884954,"score_spread":0.2819262778784556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94679564,0.00028088738,0.0039385115,0.00078900554,0.028529946,0.0010412297,0.000009967098,0.00011627715,0.018498514],"genre_scores_gemma":[0.99752825,0.000025317418,0.0007270286,0.00007131529,0.0016005483,0.000006421481,0.0000025476268,0.000024176077,0.000014408032],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968387,0.00089108804,0.0007068725,0.00023150223,0.00096696406,0.00036486782],"domain_scores_gemma":[0.9932751,0.0054311864,0.0006079183,0.00010091512,0.0003908502,0.00019400119],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0059422264,0.00026964577,0.0006404966,0.00028440205,0.0010143289,0.00037470518,0.0002696882,0.00024467247,0.000005557297],"category_scores_gemma":[0.0047474788,0.0002488907,0.00015551929,0.0003775791,0.00017437701,0.00015933019,0.000096993295,0.00046566283,9.0599843e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037484302,0.00057458185,0.00008854697,0.0001275604,0.00006750039,0.000021999163,0.006924508,0.0001100402,0.000018209843,0.94225293,0.00015294118,0.04928632],"study_design_scores_gemma":[0.019225063,0.004100048,0.00068657106,0.003853709,0.0009071925,0.000009417502,0.007937252,0.022820862,0.0006188036,0.9368165,0.0017577285,0.001266815],"about_ca_topic_score_codex":0.000005256535,"about_ca_topic_score_gemma":5.650692e-7,"teacher_disagreement_score":0.050732575,"about_ca_system_score_codex":0.000206122,"about_ca_system_score_gemma":0.00024429237,"threshold_uncertainty_score":0.9999963},"labels":[],"label_agreement":null},{"id":"W4409787788","doi":"10.61091/jcmcc127a-487","title":"Optimization of English Teaching Mode in Colleges and Universities Based on Deep Learning in the Improvement of Intercultural Communication Skills","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics education; Intercultural communication; Mode (computer interface); Psychology; Pedagogy; Computer science; Human–computer interaction","score_opus":0.006907441359978312,"score_gpt":0.2676814985496056,"score_spread":0.26077405718962726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729516,0.00014919878,0.024009485,0.00039948616,0.0015126906,0.00016037426,3.572931e-7,0.000009308918,0.00080751796],"genre_scores_gemma":[0.98954886,0.000034740733,0.010349491,0.000021246708,0.00003891377,9.948441e-7,7.126299e-7,0.0000028836523,0.0000021673904],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881464,0.00021319953,0.0005741661,0.0000929453,0.00020873557,0.00009630546],"domain_scores_gemma":[0.9975367,0.0013883692,0.00056311843,0.00016095223,0.0003345659,0.000016267211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015753321,0.000097653494,0.00030247043,0.00032746527,0.00011554571,0.00004696944,0.0004861947,0.00008728788,3.8712193e-7],"category_scores_gemma":[0.0005492437,0.00007910174,0.000039969014,0.0002830237,0.00007574227,0.00016622464,0.00015339539,0.0004651485,1.2156809e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003293177,0.00052217796,0.0008294773,0.0001023228,0.000017607155,9.1320254e-7,0.015101857,0.019284137,0.00006321221,0.96258634,0.0000069990915,0.0014520446],"study_design_scores_gemma":[0.0050755115,0.0011796033,0.0014815116,0.0018502746,0.00003949418,0.0000051595566,0.023379054,0.64380985,0.0009876353,0.32193536,0.00006275341,0.00019376751],"about_ca_topic_score_codex":0.000023830502,"about_ca_topic_score_gemma":0.0000018809831,"teacher_disagreement_score":0.6406509,"about_ca_system_score_codex":0.000068089495,"about_ca_system_score_gemma":0.00012137197,"threshold_uncertainty_score":0.32256752},"labels":[],"label_agreement":null},{"id":"W4409787796","doi":"10.61091/jcmcc127a-507","title":"Recursive Neural Network Optimization Strategies for Multi-Target Detection and Path Planning in Autonomous Systems for Multi-Intelligent Collaboration","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Motion planning; Computer science; Artificial intelligence; Path (computing); Artificial neural network; Machine learning; Robot; Computer network","score_opus":0.0202794184802698,"score_gpt":0.27292915971646103,"score_spread":0.2526497412361912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787796","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.107303165,0.0020441576,0.8705987,0.000012359062,0.018966908,0.0009922871,0.0000046740042,0.000057216377,0.000020556226],"genre_scores_gemma":[0.9562705,0.000054142183,0.0430365,0.0000034749264,0.000573311,0.000022722208,0.0000040649797,0.000033016753,0.0000022589247],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983315,0.000060354778,0.0010321506,0.00015624479,0.00014959644,0.00027014303],"domain_scores_gemma":[0.99852645,0.00038702815,0.0004890433,0.0000874919,0.00044253434,0.00006747013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000981318,0.0002295478,0.00059856335,0.00019890844,0.00021283199,0.00043109406,0.000113850125,0.00018543417,1.2924794e-7],"category_scores_gemma":[0.00016545088,0.00022728134,0.00007151309,0.00026738195,0.000021970156,0.00021219556,0.00003149194,0.00020475897,4.133914e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006168395,0.00009263581,0.00006095138,0.00075530977,0.00008066655,0.0000024720046,0.0010087837,0.93053454,0.00018131013,0.06692599,0.000055637614,0.00024000293],"study_design_scores_gemma":[0.0036121171,0.00031733324,0.000027110094,0.0008088119,0.000056589484,0.000010940605,0.0019444852,0.9722365,0.00021061204,0.020476563,0.00010547253,0.00019346074],"about_ca_topic_score_codex":0.0000059401,"about_ca_topic_score_gemma":9.333459e-7,"teacher_disagreement_score":0.8489674,"about_ca_system_score_codex":0.00014845085,"about_ca_system_score_gemma":0.00008778786,"threshold_uncertainty_score":0.9268264},"labels":[],"label_agreement":null},{"id":"W4409787799","doi":"10.61091/jcmcc127a-506","title":"Simulation analysis of external characteristics of medium voltage flexible interconnection system and research on protection control strategy","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Mechanical stress and fatigue analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interconnection; Computer science; Control (management); Reliability engineering; Engineering; Telecommunications; Artificial intelligence","score_opus":0.029198695059727966,"score_gpt":0.3026596627857306,"score_spread":0.27346096772600265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79758775,0.00014588017,0.19965181,0.0000068292047,0.0022005094,0.00019144415,0.0000053698786,0.000019278403,0.00019112913],"genre_scores_gemma":[0.9996256,0.000025087427,0.00012046484,0.0000011008615,0.0002119612,0.0000019426031,9.3326315e-7,0.000011112805,0.0000017542874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795043,0.00012041365,0.0011341664,0.00012524021,0.00051121047,0.00015851954],"domain_scores_gemma":[0.9974566,0.0009933574,0.00058812066,0.00014701531,0.00074168714,0.000073208175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001657469,0.00014876387,0.00088626106,0.00076753256,0.00010323355,0.00007287852,0.00014395227,0.00014396451,0.0000030035935],"category_scores_gemma":[0.0003679955,0.00013152853,0.00015983038,0.0008356183,0.00005040473,0.00008608589,0.00004752154,0.0003708712,1.2341268e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050799735,0.0005142174,0.00062129257,0.0026288412,0.0025492217,0.000010304815,0.00063278514,0.09527326,0.030993735,0.85687566,0.0000057995126,0.009386879],"study_design_scores_gemma":[0.0019169409,0.00072311325,0.0008307609,0.001141944,0.00094164006,0.000002683989,0.0004819411,0.9540929,0.006923128,0.032815386,0.0000072286225,0.00012229261],"about_ca_topic_score_codex":0.000024209496,"about_ca_topic_score_gemma":4.2871395e-7,"teacher_disagreement_score":0.85881966,"about_ca_system_score_codex":0.00008392301,"about_ca_system_score_gemma":0.00003222966,"threshold_uncertainty_score":0.5363578},"labels":[],"label_agreement":null},{"id":"W4409787801","doi":"10.61091/jcmcc127a-493","title":"A Deep Learning Model Based Skill Recognition and Evaluation System for Football Sports Players","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Football; Football players; Computer science; Psychology; Artificial intelligence; Machine learning; Geography","score_opus":0.026210738178575613,"score_gpt":0.2901011562688427,"score_spread":0.2638904180902671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9655072,0.00026205613,0.028617265,0.00005682961,0.0040643383,0.00064277445,8.6563034e-7,0.000036811005,0.00081186066],"genre_scores_gemma":[0.9903009,0.000019973835,0.00911477,0.000032439682,0.00048477403,0.000008671806,0.000009697786,0.000023743394,0.000005042338],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981121,0.000026312107,0.00087503967,0.0001896639,0.00056512805,0.00023178675],"domain_scores_gemma":[0.9977736,0.00029003448,0.00075242645,0.00011157376,0.0009461035,0.0001262857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025980112,0.00020636937,0.00065292354,0.00030214153,0.00027019338,0.00009017306,0.00007095768,0.0001593108,0.0000018376985],"category_scores_gemma":[0.00033510817,0.00018735253,0.00014066488,0.00018890722,0.00004117523,0.00013737839,0.00003880873,0.00034855132,1.7959911e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008187576,0.0037065996,0.029275754,0.019031836,0.0019743834,0.00020316655,0.015155051,0.025484007,0.0020825604,0.55741537,0.00024080192,0.33724293],"study_design_scores_gemma":[0.013471819,0.00079307647,0.00058200327,0.0025895918,0.00082128105,0.00012507562,0.0013369909,0.90158594,0.00048403634,0.07797677,0.00004683836,0.00018656006],"about_ca_topic_score_codex":0.0000018680211,"about_ca_topic_score_gemma":1.0282439e-7,"teacher_disagreement_score":0.876102,"about_ca_system_score_codex":0.00014612358,"about_ca_system_score_gemma":0.00029485655,"threshold_uncertainty_score":0.7640014},"labels":[],"label_agreement":null},{"id":"W4409787804","doi":"10.61091/jcmcc127a-520","title":"Goal-oriented performance evaluation: an analysis based on the Malmquist-KDE indicator model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Econometrics; Economics","score_opus":0.012103226647927465,"score_gpt":0.24901902654753438,"score_spread":0.23691579989960693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97856903,0.00003108744,0.008675071,0.00066351343,0.0034509446,0.00031761886,0.0000012289579,0.000048448335,0.008243038],"genre_scores_gemma":[0.99838567,0.0000046585615,0.00048410543,0.0004957191,0.0005980085,0.000006689646,0.0000051590273,0.00001222347,0.000007794062],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977489,0.000036830315,0.00093123753,0.00017212695,0.00085776165,0.00025312483],"domain_scores_gemma":[0.99715644,0.0002168035,0.001391136,0.0003580711,0.0008523771,0.000025189349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029432646,0.00023594957,0.00050027645,0.0006664769,0.0005558501,0.00037021778,0.0005313712,0.00015829828,0.000027272585],"category_scores_gemma":[0.0004563324,0.00017243077,0.00017927094,0.0011620958,0.00009824222,0.00066823454,0.00012579084,0.00045347004,0.0000060441967],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098985416,0.00030039134,0.0016603234,0.00008668294,0.00015850083,0.0000016076795,0.00010146727,0.010278625,0.00001688615,0.9854138,0.00035895448,0.0015238022],"study_design_scores_gemma":[0.0019744493,0.00012975853,0.0010869869,0.00012232891,0.00052473077,0.0000012385615,0.0003149005,0.862068,0.00009710164,0.13307859,0.00044075097,0.00016115828],"about_ca_topic_score_codex":0.000008423381,"about_ca_topic_score_gemma":6.945237e-7,"teacher_disagreement_score":0.85233516,"about_ca_system_score_codex":0.000098812845,"about_ca_system_score_gemma":0.00020024023,"threshold_uncertainty_score":0.7031523},"labels":[],"label_agreement":null},{"id":"W4409787805","doi":"10.61091/jcmcc127a-490","title":"Research on Prediction and Model Construction of Innovative and Entrepreneurial Mental Health Status Based on Random Forest Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Random forest; Mental health; Algorithm; Computer science; Psychology; Machine learning; Psychiatry","score_opus":0.030619231971301022,"score_gpt":0.36011582367167855,"score_spread":0.32949659170037754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977936,0.00026462847,0.009643259,0.002438457,0.007601921,0.0011947745,0.000033602246,0.00001943069,0.0008678797],"genre_scores_gemma":[0.99404997,0.00016877442,0.005022301,0.00010137165,0.0006257111,0.000003193213,0.000006726894,0.000016338108,0.000005617678],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99677825,0.0004079987,0.0013443101,0.00024777924,0.0008547019,0.00036696444],"domain_scores_gemma":[0.9965398,0.0010446453,0.0007867707,0.00017517788,0.0011271788,0.00032642996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046515306,0.00020041868,0.0009310797,0.00067737093,0.00034710436,0.000072108654,0.00006891031,0.00017813018,0.0000014726195],"category_scores_gemma":[0.0006971438,0.00016650467,0.00006197952,0.0005595706,0.00018657692,0.00008358693,0.00007268754,0.00075912656,1.211507e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034809345,0.0014122425,0.005077527,0.0026583697,0.00019909524,0.000008207148,0.0027842596,0.00017655636,0.00010677528,0.9258104,0.0010411642,0.05724445],"study_design_scores_gemma":[0.07265874,0.018603502,0.004793706,0.009242819,0.00008682738,0.00015598294,0.0036695728,0.5616642,0.00039549978,0.3270317,0.0013392689,0.00035814702],"about_ca_topic_score_codex":0.000093425886,"about_ca_topic_score_gemma":9.7379e-7,"teacher_disagreement_score":0.5987787,"about_ca_system_score_codex":0.00024761882,"about_ca_system_score_gemma":0.0015717928,"threshold_uncertainty_score":0.6789864},"labels":[],"label_agreement":null},{"id":"W4409787811","doi":"10.61091/jcmcc127a-482","title":"Simulation Optimisation of Laboratory Resources in Universities with Intelligent Scheduling Strategies","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scheduling (production processes); Computer science; Engineering management; Operations research; Management science; Industrial engineering; Engineering; Operations management","score_opus":0.03508494241924227,"score_gpt":0.3500912196780528,"score_spread":0.31500627725881053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89446133,0.00010927218,0.10370159,0.000087083994,0.0007737962,0.00016244402,0.0000013880089,0.000013313649,0.0006897972],"genre_scores_gemma":[0.9899215,0.0000068630407,0.009948987,0.00000781635,0.00009920673,6.922393e-7,4.121464e-7,0.000006880676,0.000007651193],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977335,0.00011941907,0.0011788926,0.00015259915,0.00069588114,0.00011976166],"domain_scores_gemma":[0.99458486,0.0027268121,0.001123052,0.00019982085,0.0013179121,0.00004752029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002384012,0.00013087055,0.00046457117,0.00058630155,0.00012669827,0.00022220165,0.00034413772,0.00009607854,0.00000579684],"category_scores_gemma":[0.0006037213,0.000103614744,0.00006699503,0.0010056788,0.000102132195,0.00033532342,0.00010054518,0.0002174254,3.1564988e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011046098,0.00020570228,0.00084003597,0.000051213443,0.000029437373,0.000002161908,0.0024097315,0.16166882,0.0003057867,0.832357,0.000009440538,0.002010204],"study_design_scores_gemma":[0.0018452407,0.00034195263,0.0005393377,0.00052603,0.000042573458,0.0000022872562,0.019177029,0.16742183,0.0016883514,0.8077782,0.0004866811,0.00015051961],"about_ca_topic_score_codex":0.000011171056,"about_ca_topic_score_gemma":9.256405e-7,"teacher_disagreement_score":0.09546018,"about_ca_system_score_codex":0.00008745379,"about_ca_system_score_gemma":0.00026470903,"threshold_uncertainty_score":0.42252865},"labels":[],"label_agreement":null},{"id":"W4409787823","doi":"10.61091/jcmcc127a-517","title":"Commercial password modification for face recognition systems using quantum key distribution networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Password; Key (lock); Computer science; S/KEY; Facial recognition system; Face (sociological concept); Quantum key distribution; Quantum; Computer security; Pattern recognition (psychology); Artificial intelligence; Physics; Quantum mechanics","score_opus":0.04401672863453637,"score_gpt":0.2970817358893259,"score_spread":0.25306500725478953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787823","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09542884,0.00039320363,0.8796685,0.00021646249,0.02373545,0.00046046395,0.000008776635,0.000045214118,0.000043116834],"genre_scores_gemma":[0.99163574,0.00003816563,0.0075050783,0.000021344631,0.000759379,0.0000054715174,0.000018991374,0.000012241483,0.0000035789315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975465,0.00018119624,0.0012544321,0.0002686147,0.00044973748,0.00029951145],"domain_scores_gemma":[0.99621284,0.0008033409,0.0012994277,0.0003047799,0.0012564007,0.00012318391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024626798,0.00022446601,0.0005753756,0.00033380237,0.00051736005,0.0007630206,0.0006339793,0.00023138929,4.5065605e-7],"category_scores_gemma":[0.000612983,0.00022011809,0.00017454856,0.0010506603,0.000058190966,0.0004183774,0.00018517807,0.0003376691,6.7595596e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005254408,0.00038835077,0.000039813287,0.00019394285,0.00007494485,0.0000014019188,0.00031339796,0.00051374204,0.000121121426,0.9889944,0.0006406318,0.008665709],"study_design_scores_gemma":[0.0022189512,0.00017387689,0.00013950562,0.00028452577,0.00008388485,0.000021357017,0.00014885404,0.7185867,0.00016678004,0.2764628,0.0015054316,0.00020733211],"about_ca_topic_score_codex":0.000021945974,"about_ca_topic_score_gemma":2.2116753e-7,"teacher_disagreement_score":0.8962069,"about_ca_system_score_codex":0.00021488678,"about_ca_system_score_gemma":0.00018158923,"threshold_uncertainty_score":0.89761555},"labels":[],"label_agreement":null},{"id":"W4409787825","doi":"10.61091/jcmcc127a-477","title":"Consumer Purchasing Behaviour Pattern Recognition with Application of Meta-Analysis and Structural Equation Modelling as a Guide to Marketing Strategies for New Energy Vehicles","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Purchasing; Marketing; Consumer behaviour; Business; Computer science; Machine learning","score_opus":0.09204113095769136,"score_gpt":0.3564184866814528,"score_spread":0.2643773557237615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40957412,0.00017480753,0.58945435,0.0001850761,0.00042841237,0.00014237376,0.000007692076,0.0000048215784,0.000028325221],"genre_scores_gemma":[0.9759199,0.000014191225,0.023826545,0.00004294008,0.00017083946,0.000002975468,0.0000058042033,0.000009790793,0.000006983279],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997357,0.00013282176,0.001292464,0.00025283708,0.0007810065,0.00018388474],"domain_scores_gemma":[0.9948482,0.0019454636,0.0013747276,0.00019788688,0.0015133987,0.00012032833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036653369,0.00020066206,0.0010291528,0.0003937178,0.00027098865,0.00059196766,0.00026907548,0.000105768035,0.0000041338385],"category_scores_gemma":[0.00065099815,0.00013858866,0.00032089994,0.0007615462,0.00005379218,0.00037448894,0.000108189095,0.00012486376,1.2313463e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024759765,0.0008523137,0.00776879,0.0007689927,0.033124436,0.000010353957,0.00925485,0.021548847,0.0023811425,0.6133052,0.00086229556,0.30764678],"study_design_scores_gemma":[0.002388101,0.0004296483,0.00040120183,0.00012772965,0.013283349,0.000013755051,0.0028706156,0.20181684,0.0007318407,0.7775036,0.0001606182,0.00027266736],"about_ca_topic_score_codex":0.00031026575,"about_ca_topic_score_gemma":0.0000065928252,"teacher_disagreement_score":0.5663458,"about_ca_system_score_codex":0.000029831503,"about_ca_system_score_gemma":0.00021891252,"threshold_uncertainty_score":0.57083577},"labels":[],"label_agreement":null},{"id":"W4409787835","doi":"10.61091/jcmcc127a-473","title":"The Rise of Online Litigation Based on Time Proof Consensus Algorithms Challenges the Traditional Trial Model in the Framework of the Code of Civil Procedure","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Dispute Resolution and Class Actions","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Code (set theory); Computer science; Civil procedure; Algorithm; Proof of concept; Model checking; Consensus algorithm; Programming language; Law; Political science","score_opus":0.02808257967090761,"score_gpt":0.26324802095261063,"score_spread":0.23516544128170302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94338197,0.0010750315,0.00283272,0.025508657,0.013103102,0.0026100657,0.000035936628,0.00002593367,0.011426566],"genre_scores_gemma":[0.99884224,0.00002593686,0.00020229709,0.00008250666,0.0008202313,0.0000067130363,0.0000013546538,0.000011363241,0.0000073558217],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976997,0.00013520353,0.0010903768,0.000120048986,0.00078844564,0.00016626524],"domain_scores_gemma":[0.9953078,0.0021088554,0.0016757378,0.00028464003,0.00061023753,0.000012746168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002420616,0.00017314583,0.00044003536,0.00013961075,0.00034264653,0.000101079655,0.00061302335,0.0001224054,0.0000030484653],"category_scores_gemma":[0.0013831223,0.000087937275,0.00022846338,0.00053315324,0.00027337103,0.00008684306,0.00009978946,0.0005230153,2.0705664e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008164962,0.0014373888,0.000023298746,0.0003022239,0.00006522106,5.22896e-7,0.00031752436,0.0026298242,0.000038636135,0.9930736,0.0005515378,0.00074373314],"study_design_scores_gemma":[0.007303041,0.00017039302,0.0003179071,0.0009695627,0.00013472443,0.0000021554724,0.00082053314,0.351128,0.00006908432,0.63827246,0.0007287965,0.00008333997],"about_ca_topic_score_codex":0.0000065496083,"about_ca_topic_score_gemma":0.000005578919,"teacher_disagreement_score":0.35480115,"about_ca_system_score_codex":0.000035161618,"about_ca_system_score_gemma":0.00026691757,"threshold_uncertainty_score":0.35859782},"labels":[],"label_agreement":null},{"id":"W4409787858","doi":"10.61091/jcmcc127a-475","title":"Decision Tree Algorithm Based Legal Liability Determination and Contract Fulfillment Path in the Execution of Smart Contracts","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Liability; Smart contract; Business; Computer science; Tree (set theory); Decision tree; Algorithm; Finance; Artificial intelligence; Mathematics; Database; Computer network; Database transaction","score_opus":0.01157005670327027,"score_gpt":0.25123894030102456,"score_spread":0.2396688835977543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54720396,0.00038720245,0.44247374,0.00043859088,0.00803878,0.0005654166,0.0000016278782,0.000020007637,0.00087069935],"genre_scores_gemma":[0.983531,0.000034392593,0.016172193,0.000086122454,0.00016383073,0.0000025650816,4.5157998e-7,0.000007285686,0.000002183919],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972229,0.0003177859,0.0012732618,0.00025090258,0.00068161445,0.00025354914],"domain_scores_gemma":[0.9954757,0.0027456535,0.0007826899,0.00032420622,0.0005874392,0.00008432511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040466087,0.00022586448,0.00064946525,0.0002344621,0.00019687496,0.00033220934,0.0006533076,0.00014711711,0.0000016668157],"category_scores_gemma":[0.0013079614,0.00015524424,0.00013429059,0.00043072426,0.00014473595,0.00045458716,0.00019033994,0.00040077016,2.450571e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033680184,0.0022586952,0.00041227747,0.00026826788,0.000066563,0.000041995718,0.0028850508,0.00005224856,0.0011981812,0.77314335,0.0003108394,0.21902573],"study_design_scores_gemma":[0.0066734627,0.0017160738,0.00229213,0.0008164082,0.000067646775,0.0000577783,0.00021119887,0.57032764,0.0024625233,0.4143806,0.0007467017,0.00024786044],"about_ca_topic_score_codex":0.000030148207,"about_ca_topic_score_gemma":0.0000025168627,"teacher_disagreement_score":0.57027537,"about_ca_system_score_codex":0.00010434513,"about_ca_system_score_gemma":0.00023792422,"threshold_uncertainty_score":0.6330676},"labels":[],"label_agreement":null},{"id":"W4409787870","doi":"10.61091/jcmcc127a-478","title":"A Study on the Influence Path of Corporate Marketing Strategies on Consumer Purchase Intention Based on XG Boost Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Business; Marketing; Algorithm; Computer science","score_opus":0.02207567014711343,"score_gpt":0.2586912250571509,"score_spread":0.2366155549100375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99072087,0.000016323114,0.0011505606,0.0011902116,0.003872601,0.0005238316,0.0000019013441,0.00004417022,0.0024795616],"genre_scores_gemma":[0.9989547,0.0000029054017,0.00032860888,0.00035903347,0.00032173647,0.000006806786,0.0000018374622,0.000020416766,0.000003969512],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978143,0.00009779251,0.0010778068,0.00021189036,0.00056304556,0.00023517394],"domain_scores_gemma":[0.9953165,0.0012504935,0.002025441,0.00042403192,0.0009665045,0.000017005035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031150419,0.00028357081,0.0005581155,0.00062525366,0.00043694727,0.00035990612,0.0005768544,0.00012957884,0.0000060555035],"category_scores_gemma":[0.0018533841,0.00020733934,0.00012639342,0.0009132861,0.00019639186,0.00026576477,0.0002377473,0.00070289127,0.000004206732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002650404,0.0019222638,0.0023764404,0.00015828127,0.00012969182,0.000023487719,0.0001265623,0.000140271,0.00017221636,0.9923397,0.00042549783,0.0019205983],"study_design_scores_gemma":[0.00862496,0.0015614007,0.007552388,0.0033248223,0.00034018705,0.0000066797857,0.010017155,0.02125115,0.00033130645,0.946093,0.0004424292,0.00045447267],"about_ca_topic_score_codex":0.000023386638,"about_ca_topic_score_gemma":6.7683084e-7,"teacher_disagreement_score":0.0462466,"about_ca_system_score_codex":0.000046804194,"about_ca_system_score_gemma":0.00010525934,"threshold_uncertainty_score":0.8455053},"labels":[],"label_agreement":null},{"id":"W4409787885","doi":"10.61091/jcmcc127a-481","title":"Research on AIGC advertising strategy based on multi-objective optimisation algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm","score_opus":0.03571431952308941,"score_gpt":0.3220978246064783,"score_spread":0.2863835050833889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8540021,0.00015480744,0.07074908,0.0044729714,0.02678234,0.0013635969,0.0000040151226,0.0002944058,0.042176656],"genre_scores_gemma":[0.9939112,0.0000046940295,0.0043591154,0.00032950903,0.0013404349,0.0000046295454,0.0000035835183,0.000028964781,0.000017876058],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99768245,0.000069010704,0.000890548,0.00026719103,0.0007151872,0.0003756101],"domain_scores_gemma":[0.99655414,0.0009250959,0.0007316091,0.00028800254,0.0014745097,0.000026659605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026506411,0.00026580482,0.000519115,0.0014850929,0.00073298835,0.00046275742,0.00043681927,0.00025280693,0.000009513126],"category_scores_gemma":[0.0008037015,0.000242901,0.0001260219,0.0015159886,0.00017914055,0.00037668855,0.00019403262,0.0011278421,0.000011142528],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009937432,0.0010754149,0.00019776724,0.00013565013,0.00007141337,0.000017208678,0.00005997859,0.0008202365,0.00010237877,0.98390186,0.00085971045,0.012658999],"study_design_scores_gemma":[0.008092664,0.000688778,0.00089696073,0.0016135516,0.000119814125,0.000006421293,0.0018810906,0.2314957,0.00076406816,0.75247735,0.0015691482,0.00039449352],"about_ca_topic_score_codex":0.00004304995,"about_ca_topic_score_gemma":0.0000010903622,"teacher_disagreement_score":0.23142454,"about_ca_system_score_codex":0.00015810323,"about_ca_system_score_gemma":0.00015504276,"threshold_uncertainty_score":0.99052155},"labels":[],"label_agreement":null},{"id":"W4409787899","doi":"10.61091/jcmcc127a-474","title":"Exploration of Detection and Management Mechanism of Public Health Emergencies in Smart Communities Based on Computer Vision","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Computer science; Public health; Business; Environmental planning; Process management; Computer security; Risk analysis (engineering); Knowledge management; Medicine; Environmental science; Nursing","score_opus":0.051582906870913554,"score_gpt":0.333554174098878,"score_spread":0.28197126722796445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92712873,0.00020341523,0.06819658,0.0007001119,0.0027744635,0.0005551595,0.0000012590903,0.000009273165,0.0004309971],"genre_scores_gemma":[0.9965984,0.0002793302,0.0029995204,0.000036243368,0.000070856055,0.0000025207366,0.000001909346,0.000008220623,0.0000029864918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99799764,0.0002210437,0.0008995746,0.0000920432,0.00060592993,0.00018379182],"domain_scores_gemma":[0.99836683,0.00046617046,0.00054772384,0.0001526288,0.00032679937,0.00013986969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022820032,0.00013323505,0.0006201065,0.0005590224,0.00009832629,0.000029285604,0.00009861956,0.00007293107,0.0000029849143],"category_scores_gemma":[0.00019469272,0.00010857649,0.00007428706,0.00032737397,0.000079490754,0.000108988446,0.00010667429,0.00025591152,1.2109717e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073988194,0.0040094834,0.0012909232,0.0041418932,0.00030640524,0.000026917845,0.0021600006,0.000038383445,0.0003772938,0.93901974,0.0000639809,0.047825117],"study_design_scores_gemma":[0.038171798,0.024697397,0.0075790407,0.012444119,0.00023556495,0.000032351032,0.005022296,0.19092385,0.0044327294,0.7157921,0.00033018657,0.00033855735],"about_ca_topic_score_codex":0.000037352467,"about_ca_topic_score_gemma":0.0000038282305,"teacher_disagreement_score":0.22322762,"about_ca_system_score_codex":0.00009518073,"about_ca_system_score_gemma":0.00015206014,"threshold_uncertainty_score":0.44276208},"labels":[],"label_agreement":null},{"id":"W4409787901","doi":"10.61091/jcmcc127a-476","title":"Computer model-based analysis of user behaviour and emotional disposition on social platforms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disposition; Computer science; Human–computer interaction; Psychology; Social psychology","score_opus":0.037697166706287005,"score_gpt":0.37243131544429725,"score_spread":0.3347341487380102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9712662,0.000056079276,0.02308044,0.00017895957,0.004685867,0.00023592914,0.000011791402,0.000012182629,0.00047254452],"genre_scores_gemma":[0.9969612,0.0000050855338,0.002497195,0.00007054238,0.00042476656,0.000002325936,0.000007081971,0.000014639269,0.00001720065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99774295,0.00010469264,0.0010412285,0.00020830886,0.00062226836,0.00028055525],"domain_scores_gemma":[0.9978912,0.00063558796,0.0007636696,0.00016743563,0.00040527267,0.00013683719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013063267,0.00020443503,0.00078591326,0.0006889731,0.0002717599,0.00007432565,0.00022481442,0.00019992242,0.00002017008],"category_scores_gemma":[0.000066098044,0.00018104057,0.00021784817,0.0005645551,0.00012430569,0.000083676125,0.00012108976,0.0004703259,6.449336e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041186376,0.0013353162,0.0037444043,0.00026004654,0.000616701,0.000009980593,0.00093301275,0.0006496345,0.000036604797,0.98896074,0.00035656482,0.0026851485],"study_design_scores_gemma":[0.016543616,0.0028662882,0.09786914,0.0011872355,0.0018448732,0.000019701589,0.00060700503,0.4057322,0.000288025,0.47240835,0.00007827596,0.0005552836],"about_ca_topic_score_codex":0.000011773279,"about_ca_topic_score_gemma":5.898438e-7,"teacher_disagreement_score":0.5165524,"about_ca_system_score_codex":0.000117951895,"about_ca_system_score_gemma":0.0001335584,"threshold_uncertainty_score":0.73826206},"labels":[],"label_agreement":null},{"id":"W4409787914","doi":"10.61091/jcmcc127a-472","title":"Research on intelligent financial statement analysis and anomaly identification technology based on machine learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Financial statement; Financial statement analysis; Statement (logic); Anomaly (physics); Computer science; Artificial intelligence; Accounting; Business; Financial analysis; Epistemology; Philosophy; Physics","score_opus":0.1043036350811106,"score_gpt":0.4084930354796187,"score_spread":0.30418940039850806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92050153,0.0002250759,0.07245905,0.0030357677,0.002736222,0.0003809015,0.00000951338,0.00005270164,0.0005992455],"genre_scores_gemma":[0.99772054,0.000057613113,0.0020259682,0.000032015985,0.00011961717,0.000006080739,0.000002737765,0.000009026805,0.000026409876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99614197,0.00024473923,0.0015560776,0.00041430382,0.0013504643,0.00029245354],"domain_scores_gemma":[0.9942824,0.0028911636,0.0010384537,0.0005525063,0.0011439577,0.00009150143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00906813,0.00019638112,0.0006562291,0.0027396083,0.0006795697,0.0005261774,0.0008627456,0.0002158517,0.000009508437],"category_scores_gemma":[0.0057746847,0.00015256417,0.00014086544,0.0037987602,0.00022081318,0.00010031283,0.000440607,0.0009843097,0.000005933603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113158174,0.0005761102,0.002210662,0.000027882163,0.00010220368,0.00000607851,0.00010459115,0.0007843875,0.00019077805,0.96148926,0.00045892465,0.033935957],"study_design_scores_gemma":[0.0014349462,0.001073642,0.0017951163,0.00017710659,0.00014195703,0.0000032148762,0.00087415666,0.0769381,0.0024003955,0.9085038,0.0064870343,0.0001705486],"about_ca_topic_score_codex":0.000013830322,"about_ca_topic_score_gemma":0.000002309276,"teacher_disagreement_score":0.07721901,"about_ca_system_score_codex":0.0001226918,"about_ca_system_score_gemma":0.00015244912,"threshold_uncertainty_score":0.6913254},"labels":[],"label_agreement":null},{"id":"W4409791008","doi":"10.61091/jcmcc127a-462","title":"Optimization and realization path of moral education flipped classroom teaching model based on intelligent computing in colleges and universities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Realization (probability); Path (computing); Flipped classroom; Mathematics education; Computer science; Moral education; Flipped learning; Psychology; Pedagogy; Mathematics; Computer network","score_opus":0.01660438694366711,"score_gpt":0.30370010056620605,"score_spread":0.28709571362253894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92966986,0.00011953087,0.06095904,0.00087575725,0.0037632308,0.00028789818,0.0000014246411,0.000015452522,0.004307779],"genre_scores_gemma":[0.9924888,0.000049879418,0.0071639707,0.000057044163,0.00021072947,5.168083e-7,0.000001794884,0.000005914913,0.000021324597],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985882,0.00026073694,0.0005760857,0.00012816663,0.0002807826,0.00016604282],"domain_scores_gemma":[0.9982216,0.00085346255,0.00044763283,0.000065059096,0.00032252932,0.000089758665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015113517,0.00012177487,0.00035459115,0.000274658,0.00033762824,0.00009645921,0.00011040299,0.00013244919,0.000001638892],"category_scores_gemma":[0.00066754635,0.00010641338,0.00003899269,0.00023249148,0.00015638121,0.00013628296,0.000062513594,0.00026951835,3.7087897e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005131653,0.0003707297,0.0012465981,0.00013833461,0.000009773326,5.1203017e-7,0.004723012,0.010397541,0.00001039219,0.98115224,0.00003742574,0.0018621301],"study_design_scores_gemma":[0.0011536258,0.0002471914,0.0004103903,0.0008133346,0.00004398971,0.0000011369416,0.008343522,0.54921854,0.000040816623,0.43953693,0.00007092647,0.000119590644],"about_ca_topic_score_codex":0.00017004674,"about_ca_topic_score_gemma":0.000002996134,"teacher_disagreement_score":0.5416153,"about_ca_system_score_codex":0.00016320814,"about_ca_system_score_gemma":0.0006414866,"threshold_uncertainty_score":0.4339412},"labels":[],"label_agreement":null},{"id":"W4409791009","doi":"10.61091/jcmcc127a-347","title":"Research on the Translation of Characteristic Words in Foreign Propaganda Translation by Data Mining Algorithms under the Big Data Platform","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Translation (biology); Big data; Computer science; Artificial intelligence; Natural language processing; Data science; Data mining; Biology","score_opus":0.1990708532689982,"score_gpt":0.3884221872969558,"score_spread":0.18935133402795762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7295666,0.0016400331,0.24108888,0.01066438,0.014344833,0.0010355635,0.00003122231,0.000040303818,0.0015882229],"genre_scores_gemma":[0.9954172,0.000064646585,0.0040456047,0.00004042696,0.0004013092,0.000002936471,0.000013918396,0.000009501789,0.000004494563],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974773,0.00027985018,0.00096486375,0.0002977401,0.00071687205,0.00026337066],"domain_scores_gemma":[0.993041,0.004971729,0.0005743498,0.0010646329,0.00030745886,0.000040829767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007904512,0.00016465622,0.00038420106,0.0003146646,0.00037614605,0.00019277808,0.0030131282,0.00016361862,0.0000015534608],"category_scores_gemma":[0.00043983228,0.000106729385,0.00004203512,0.00097143545,0.00019313721,0.00038119548,0.0005456814,0.0008322333,4.388588e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000634928,0.00040205228,0.000082443716,0.00008145554,0.00006775405,0.0000022070678,0.0014470968,0.000023362769,0.00019534123,0.9464091,0.00053677894,0.050688926],"study_design_scores_gemma":[0.002007968,0.00037220214,0.00036048252,0.00063938374,0.000043061435,0.00002129413,0.0024412884,0.15083432,0.0004976452,0.84162045,0.0010048342,0.00015707451],"about_ca_topic_score_codex":0.000017003253,"about_ca_topic_score_gemma":0.000002949796,"teacher_disagreement_score":0.2658506,"about_ca_system_score_codex":0.000049771257,"about_ca_system_score_gemma":0.00045977725,"threshold_uncertainty_score":0.5599192},"labels":[],"label_agreement":null},{"id":"W4409791012","doi":"10.61091/jcmcc127a-392","title":"Architecture and Computational Optimization of Community Employment Support System for Digitally Intelligent Students Led by Digital Party Building Based on Field Theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Architecture; Architectural engineering; Computer science; Engineering management; Sociology; Knowledge management; Engineering; Mathematics; Visual arts; Art","score_opus":0.014449183434891785,"score_gpt":0.305507436297532,"score_spread":0.29105825286264025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791012","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18562786,0.000050418203,0.8108147,0.0003770008,0.002640628,0.00026451514,0.0000070428828,0.00003016567,0.00018767366],"genre_scores_gemma":[0.98053795,0.0000028763097,0.019269675,0.000083057465,0.00008016355,0.000004444862,0.000006414284,0.000009653215,0.000005773586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982975,0.00014418927,0.00081764004,0.0001502002,0.00041672436,0.00017370531],"domain_scores_gemma":[0.99496603,0.0035907845,0.0006978349,0.00022555774,0.00044184527,0.00007794437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015754419,0.00019472919,0.00047317045,0.00023796434,0.0003014875,0.00026595223,0.0006808768,0.00013866252,8.714492e-7],"category_scores_gemma":[0.0005578773,0.0001743176,0.000103956976,0.00020557245,0.00008084544,0.00017090194,0.00028139562,0.00038294337,9.9761124e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016852871,0.0010080269,0.00045308133,0.00033704453,0.0001366649,0.0000013563575,0.00081475347,0.014261381,0.00003070163,0.9780167,0.0002065244,0.0045652413],"study_design_scores_gemma":[0.003985664,0.0023423529,0.00012217065,0.0007826062,0.00007571789,0.000027887721,0.00061149977,0.087044254,0.001817056,0.9027203,0.00022063123,0.0002499001],"about_ca_topic_score_codex":0.0000017016446,"about_ca_topic_score_gemma":5.7925153e-8,"teacher_disagreement_score":0.7949101,"about_ca_system_score_codex":0.00007177344,"about_ca_system_score_gemma":0.00018782365,"threshold_uncertainty_score":0.71084654},"labels":[],"label_agreement":null},{"id":"W4409791014","doi":"10.61091/jcmcc127a-340","title":"Deep Learning-based Recognition and Quantification of Cultural Identity Features in Chinese Oil Painting Art","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Oil painting; Identity (music); Painting; Artificial intelligence; Art; Visual arts; Psychology; Aesthetics; Pattern recognition (psychology); Computer science","score_opus":0.01682006326161218,"score_gpt":0.2888552985781814,"score_spread":0.2720352353165692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94918424,0.00033381753,0.044618152,0.00014665966,0.005060019,0.00009076083,4.0089336e-7,0.000026634289,0.0005392916],"genre_scores_gemma":[0.99587595,0.00004307165,0.00389926,0.000014386462,0.0001482554,0.0000013025549,0.0000022950994,0.000007363704,0.000008111514],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99821657,0.0001330199,0.0008662429,0.00019196757,0.0004011956,0.00019099467],"domain_scores_gemma":[0.99777496,0.00072149414,0.0007884549,0.00013680362,0.0004983172,0.0000799748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015797005,0.00017975841,0.0005040418,0.00025121376,0.00012764712,0.0003562934,0.00035240143,0.00010319203,7.6767105e-7],"category_scores_gemma":[0.0009908786,0.00015176088,0.000087304,0.00057536573,0.000072611445,0.0007294115,0.00019329233,0.00037347028,0.0000010506312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016511674,0.0014990808,0.0059641693,0.0016891761,0.00013063067,0.000029945766,0.0036955953,0.0005233252,0.0023756302,0.9083505,0.00007579683,0.075501],"study_design_scores_gemma":[0.006059745,0.00079773355,0.0059154094,0.0024883796,0.000065599634,0.000043562763,0.0008164226,0.12396698,0.0019398881,0.85735446,0.00014400354,0.00040780255],"about_ca_topic_score_codex":0.000009049816,"about_ca_topic_score_gemma":0.0000016304857,"teacher_disagreement_score":0.123443656,"about_ca_system_score_codex":0.00003988044,"about_ca_system_score_gemma":0.00007247951,"threshold_uncertainty_score":0.61886287},"labels":[],"label_agreement":null},{"id":"W4409791016","doi":"10.61091/jcmcc127a-460","title":"Regional study tours 4.0 development model design and cultural innovation research based on data analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Regional science; Data science; Geography; Knowledge management; Computer science","score_opus":0.12577799107228865,"score_gpt":0.3577384591071835,"score_spread":0.23196046803489484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91398865,0.00004374186,0.080179185,0.00233741,0.0018993055,0.00058038346,6.562299e-7,0.000055399676,0.00091527496],"genre_scores_gemma":[0.98884,0.0000026533241,0.010495153,0.00020741293,0.00041348202,0.0000047501353,0.000013132642,0.000014271373,0.000009188293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976038,0.00006447996,0.0010231909,0.0003091935,0.0007337655,0.00026561852],"domain_scores_gemma":[0.9965415,0.00056638947,0.0007162883,0.00042466275,0.001733296,0.000017848142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005421888,0.00021529451,0.00053166907,0.0021780338,0.00071361335,0.0005026932,0.00066405546,0.00013835069,0.000002580468],"category_scores_gemma":[0.0009581949,0.00018435284,0.00004598562,0.0037602223,0.00016915909,0.0005109674,0.0005958663,0.00062805874,0.000001322731],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011466338,0.0011476009,0.0027300913,0.00009048194,0.0004015383,0.0000072784946,0.00022598465,0.0017926949,0.000045801884,0.98963183,0.0023731661,0.0014388933],"study_design_scores_gemma":[0.0034662317,0.00016632077,0.0011019786,0.00023273684,0.00043729696,0.0000020247444,0.0015647355,0.5436257,0.000038070182,0.448406,0.00072410604,0.00023475071],"about_ca_topic_score_codex":0.000019878455,"about_ca_topic_score_gemma":0.0000022118813,"teacher_disagreement_score":0.54183304,"about_ca_system_score_codex":0.00007243759,"about_ca_system_score_gemma":0.00020273704,"threshold_uncertainty_score":0.7517691},"labels":[],"label_agreement":null},{"id":"W4409791017","doi":"10.61091/jcmcc127a-341","title":"Research on the construction of a working fluid system model for ultra-high temperature dense pressurized leakage prevention and plugging combined with multivariate nonlinear regression and machine learning optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leakage (economics); Multivariate statistics; Nonlinear system; Nonlinear regression; Computer science; Materials science; Regression analysis; Machine learning; Physics","score_opus":0.02054433311103479,"score_gpt":0.2591609553704331,"score_spread":0.2386166222593983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9307469,0.00032955687,0.06482429,0.00008825456,0.0029549275,0.00085720915,0.000003416648,0.00007063522,0.00012482236],"genre_scores_gemma":[0.99088436,0.00006474853,0.008812271,0.0000020958705,0.00018301937,0.000008247059,0.00000249573,0.000030527783,0.000012215949],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828297,0.0002444111,0.0007266477,0.00016892637,0.00038224223,0.00019478677],"domain_scores_gemma":[0.9977174,0.0011358038,0.0004471729,0.00013221208,0.0005039271,0.00006351741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021884497,0.0002119644,0.0005539103,0.0002721011,0.00050323014,0.00018023729,0.00011477709,0.00016950782,3.8249965e-7],"category_scores_gemma":[0.0002771163,0.00014761664,0.00006113262,0.00031198518,0.00008492122,0.000110354165,0.000049075898,0.0005901599,3.4217454e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003434738,0.0003086077,0.00017561553,0.0046231626,0.0006478765,0.000008255733,0.0037203599,0.41213316,0.016015772,0.55686665,0.000051534364,0.0020142768],"study_design_scores_gemma":[0.0051060757,0.0006338341,0.000012184991,0.0039108363,0.00009180076,0.000040081133,0.0011298849,0.97758704,0.0037187154,0.007613269,0.000019706138,0.00013654672],"about_ca_topic_score_codex":0.0000054827947,"about_ca_topic_score_gemma":6.0867666e-7,"teacher_disagreement_score":0.5654539,"about_ca_system_score_codex":0.000071091876,"about_ca_system_score_gemma":0.0000542095,"threshold_uncertainty_score":0.60196316},"labels":[],"label_agreement":null},{"id":"W4409791018","doi":"10.61091/jcmcc127a-328","title":"Research on the picture hierarchy enhancement technique based on probability distribution in oil paintings","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hierarchy; Painting; Oil painting; Distribution (mathematics); Mathematics; Statistics; Environmental science; Artificial intelligence; Computer science; Art; Visual arts; Economics; Mathematical analysis","score_opus":0.01565484761043209,"score_gpt":0.2919760243241131,"score_spread":0.27632117671368106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73624027,0.00015459703,0.24451052,0.001455887,0.008063049,0.0014740782,0.000006532433,0.00025356858,0.007841527],"genre_scores_gemma":[0.99497277,0.000027307078,0.0046584955,0.000042398562,0.00023331844,0.00003420765,0.0000016079971,0.000023143359,0.0000067531505],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99752957,0.00030277722,0.0008898893,0.00019805226,0.0007173878,0.00036232083],"domain_scores_gemma":[0.99661285,0.0022529878,0.000246239,0.00035146184,0.00046709058,0.00006938443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00549488,0.0002465294,0.0004641221,0.00033150142,0.0002545562,0.0001313483,0.00043941842,0.00017934486,0.0000066610787],"category_scores_gemma":[0.0013688089,0.00018274835,0.000102619415,0.0007981451,0.00012279824,0.00008161615,0.00013987899,0.0015126689,8.7682895e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001963298,0.00097321835,0.00004916508,0.0006843285,0.0000354249,0.000016814098,0.00033866745,0.0019500175,0.0044985362,0.98031646,0.0014890388,0.009452],"study_design_scores_gemma":[0.0015793734,0.0007533722,0.00004748297,0.0025150476,0.000014127779,0.0000039019524,0.00020428869,0.04035199,0.04940092,0.9032577,0.0016470602,0.0002246878],"about_ca_topic_score_codex":0.0000020135217,"about_ca_topic_score_gemma":1.93813e-7,"teacher_disagreement_score":0.25873253,"about_ca_system_score_codex":0.00046711692,"about_ca_system_score_gemma":0.00010688596,"threshold_uncertainty_score":0.74522614},"labels":[],"label_agreement":null},{"id":"W4409791020","doi":"10.61091/jcmcc127a-433","title":"A Multidimensional Data Mining and Analysis Approach for Grid Operation and Maintenance Integrating Computing and Information Theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Grid; Data science; Data mining; Grid computing; Mathematics","score_opus":0.016038813589706217,"score_gpt":0.2963721821667447,"score_spread":0.2803333685770385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791020","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044412542,0.00025088407,0.95384586,0.00024887206,0.0007225116,0.0003415937,0.000007276662,0.00003720299,0.00013328099],"genre_scores_gemma":[0.48589852,0.000034783567,0.51385987,0.00006668388,0.00011699004,0.000003099882,0.000013601992,0.000005091072,0.0000013478636],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830216,0.00007961619,0.0008616421,0.00030417924,0.00025893035,0.00019347566],"domain_scores_gemma":[0.99708724,0.0013794237,0.0007269152,0.00026753414,0.00044259318,0.000096303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020931857,0.00020781501,0.0005119641,0.00032506624,0.0005179222,0.00045177978,0.00039207572,0.00009211002,1.7288407e-7],"category_scores_gemma":[0.00048003782,0.00018201205,0.00005573982,0.000413903,0.00009438687,0.0010973781,0.0008259806,0.00020752459,3.4360106e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002497404,0.00007001989,0.00011733101,0.00012473909,0.00014164831,5.196642e-7,0.0007826375,0.00033110217,0.000059077163,0.97397566,0.000054881897,0.02431739],"study_design_scores_gemma":[0.0013298993,0.00012042521,0.00024006322,0.00013406297,0.00013959713,0.000032577733,0.00036788473,0.77345425,0.000043942633,0.22371171,0.00027501877,0.00015057297],"about_ca_topic_score_codex":0.000003063297,"about_ca_topic_score_gemma":1.6093426e-7,"teacher_disagreement_score":0.77312315,"about_ca_system_score_codex":0.000034729594,"about_ca_system_score_gemma":0.00008664019,"threshold_uncertainty_score":0.7422236},"labels":[],"label_agreement":null},{"id":"W4409791021","doi":"10.61091/jcmcc127a-461","title":"Research on real-time monitoring and response method of AI emergency safety scenarios in energy industry based on machine vision","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Emergency response; Energy (signal processing); Computer science; Artificial intelligence; Medical emergency; Medicine","score_opus":0.018565462106536233,"score_gpt":0.3472549792580181,"score_spread":0.32868951715148187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95329493,0.00025781046,0.034167934,0.0016159831,0.009522457,0.00030719148,0.0000018044493,0.000057624282,0.00077428273],"genre_scores_gemma":[0.99380857,0.00004936276,0.005898632,0.0000136042345,0.00019931233,0.0000020534692,2.4213296e-7,0.000014413326,0.000013809777],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99588305,0.001209548,0.0013523104,0.0003481,0.0008447793,0.00036223762],"domain_scores_gemma":[0.99511296,0.003101363,0.0006422218,0.00048987026,0.00052895397,0.00012461087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0094745625,0.0002514009,0.00080731494,0.001273915,0.0002923664,0.00010732194,0.0008163551,0.0005359289,0.0000020967489],"category_scores_gemma":[0.0009878383,0.0002261558,0.00010393903,0.0012429697,0.00008798726,0.00018289643,0.00045190883,0.0016680565,4.9024044e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012306384,0.00093631144,0.0010595438,0.00015919516,0.000048425372,0.000047618607,0.0008917183,0.00065059477,0.0028482834,0.98777646,0.00013617681,0.004215049],"study_design_scores_gemma":[0.008166519,0.004452563,0.0025913173,0.0040359464,0.000032998752,0.00004307032,0.00042006103,0.33452,0.009678521,0.63524795,0.00039152856,0.00041952825],"about_ca_topic_score_codex":0.000053709013,"about_ca_topic_score_gemma":6.706727e-7,"teacher_disagreement_score":0.3525285,"about_ca_system_score_codex":0.00016986659,"about_ca_system_score_gemma":0.00029746158,"threshold_uncertainty_score":0.9222366},"labels":[],"label_agreement":null},{"id":"W4409791022","doi":"10.61091/jcmcc127a-383","title":"Enhancing Corporate Financial Transparency and Performance Assessment through Big Data and Machine Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Big data; Accounting; Business; Data science; Finance; Computer science; Data mining; Computer security","score_opus":0.04875026239812024,"score_gpt":0.2542762537434149,"score_spread":0.20552599134529465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9197877,0.0046167024,0.061245944,0.0002529959,0.01095039,0.00029786336,0.00001947594,0.000024938925,0.0028040078],"genre_scores_gemma":[0.9915976,0.0025164604,0.005170529,0.00005000023,0.0006130147,0.0000019685124,0.0000052276896,0.000020555533,0.000024632433],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99771357,0.000040669427,0.001421557,0.00037405512,0.00014182924,0.0003083046],"domain_scores_gemma":[0.9977948,0.00018442766,0.0015173922,0.0002851251,0.00013720983,0.00008103931],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002295059,0.00026873726,0.0009088451,0.00022577548,0.0004711718,0.00024415666,0.00038122197,0.00013988711,0.000002980294],"category_scores_gemma":[0.00035335103,0.0002786265,0.00006393225,0.00032323954,0.0001052103,0.00041083604,0.0004242418,0.00058479846,0.0000012369869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006366524,0.00022249711,0.023234023,0.0005875323,0.00009367507,0.000011986632,0.001007498,0.000015611226,0.00004528864,0.96374995,0.000062680076,0.010905581],"study_design_scores_gemma":[0.0051603755,0.000873251,0.015474643,0.000762516,0.00010427685,0.000026792071,0.00024838923,0.020247215,0.00015211773,0.9481773,0.008287924,0.00048522695],"about_ca_topic_score_codex":0.00003887509,"about_ca_topic_score_gemma":0.000003688377,"teacher_disagreement_score":0.071809925,"about_ca_system_score_codex":0.00006061994,"about_ca_system_score_gemma":0.000101423415,"threshold_uncertainty_score":0.99996656},"labels":[],"label_agreement":null},{"id":"W4409791025","doi":"10.61091/jcmcc127a-391","title":"Optimization of Landscape Path and Facility Layout in Public Environment Design Based on Ant Colony Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Bengbu University","keywords":"Ant colony optimization algorithms; Path (computing); ANT; Computer science; Mathematical optimization; Algorithm; Mathematics; Programming language","score_opus":0.017537420254839974,"score_gpt":0.24238538610030252,"score_spread":0.22484796584546254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791025","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12681858,0.00014941813,0.8682193,0.00027288054,0.0037928228,0.00033803337,0.000003182047,0.000020275174,0.0003855162],"genre_scores_gemma":[0.9484388,0.00002413922,0.05143249,0.000026269243,0.000066963614,0.0000021373369,9.595916e-7,0.0000061295023,0.000002102121],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980664,0.00015331963,0.0008393279,0.00022312735,0.0004893465,0.00022846049],"domain_scores_gemma":[0.9980971,0.00084681326,0.00053859054,0.00021970675,0.00017320628,0.00012457464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016091701,0.00019635416,0.0005544488,0.0002554135,0.00009947242,0.00020852232,0.00038165526,0.00010627052,0.000001773126],"category_scores_gemma":[0.00026229338,0.00017052727,0.00007058106,0.00034033763,0.00006795963,0.00027500108,0.00022633377,0.00024302001,4.6275025e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024754222,0.004835363,0.0028330593,0.0006380844,0.00015646384,0.00007758126,0.0016447743,0.021579966,0.00012950608,0.9114529,0.00021319042,0.05619157],"study_design_scores_gemma":[0.004113869,0.0013375845,0.00045793128,0.00048035238,0.000022538572,0.000008470845,0.00010018432,0.8881883,0.00027640816,0.10472608,0.00010599205,0.00018230313],"about_ca_topic_score_codex":0.0000022504166,"about_ca_topic_score_gemma":3.915822e-8,"teacher_disagreement_score":0.8666083,"about_ca_system_score_codex":0.00006305012,"about_ca_system_score_gemma":0.00015416082,"threshold_uncertainty_score":0.69539005},"labels":[],"label_agreement":null},{"id":"W4409791026","doi":"10.61091/jcmcc127a-429","title":"Exploration of computer vision-based non-heritage cultural pattern recognition and reconstruction methods in cultural and creative design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cultural heritage; Computer vision; Artificial intelligence; Computer science; Visual arts; History; Art; Archaeology","score_opus":0.057623123838562926,"score_gpt":0.34810966562812373,"score_spread":0.2904865417895608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791026","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44892728,0.000113633556,0.5469332,0.00010000867,0.0035888974,0.00021468847,7.795129e-7,0.000013175332,0.00010834367],"genre_scores_gemma":[0.82418454,0.000055515142,0.17557967,0.000018753735,0.00014962224,0.0000026580717,0.000001083471,0.0000070153587,0.0000011425278],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981924,0.0002500923,0.0008938088,0.00022975433,0.0002580658,0.00017584594],"domain_scores_gemma":[0.9977612,0.0008697115,0.00067538826,0.00011746541,0.0004800427,0.000096174525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013598129,0.00020959029,0.00058049033,0.00022234717,0.000114311755,0.00034326373,0.00020577402,0.00011603857,7.7143375e-7],"category_scores_gemma":[0.00016416519,0.00017252451,0.000067681336,0.00035838678,0.0001274008,0.0012590575,0.0001793771,0.00025307885,2.5499378e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002748525,0.0009764016,0.000683736,0.0009201529,0.00017527769,0.000030970103,0.0077278297,0.00014506033,0.004536611,0.065365285,0.00012105611,0.91904277],"study_design_scores_gemma":[0.007823638,0.0027793103,0.0009952881,0.0036679148,0.00008390349,0.00009447426,0.0015134241,0.3948915,0.00972108,0.5779593,0.000036991696,0.00043315758],"about_ca_topic_score_codex":0.00001165637,"about_ca_topic_score_gemma":3.0179243e-7,"teacher_disagreement_score":0.9186096,"about_ca_system_score_codex":0.000047153764,"about_ca_system_score_gemma":0.00007726858,"threshold_uncertainty_score":0.7035345},"labels":[],"label_agreement":null},{"id":"W4409791031","doi":"10.61091/jcmcc127a-436","title":"Study on distributed source-load aggregation strategy and capacity optimization considering power supply security constraints in distribution networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Economic Research Institute","keywords":"Distribution (mathematics); Power (physics); Computer science; Mathematical optimization; Mathematics; Physics","score_opus":0.009677542224301177,"score_gpt":0.22489306396226838,"score_spread":0.2152155217379672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92867273,0.00020764112,0.05559656,0.000019912968,0.0146750845,0.0004181548,0.00000982516,0.000053703432,0.00034638544],"genre_scores_gemma":[0.9993467,0.000023826968,0.00011173654,0.0000044108174,0.00048526222,0.0000027834171,0.000006768913,0.00001788861,6.4933914e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808013,0.0001396815,0.0009870877,0.0001763661,0.00035274407,0.00026400885],"domain_scores_gemma":[0.9986238,0.00050481653,0.0003423775,0.0001441773,0.00027824345,0.00010657053],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012964589,0.0002678086,0.00061485416,0.00014109293,0.00015459475,0.00023180312,0.00012848445,0.00017888915,0.0000024344504],"category_scores_gemma":[0.00029761664,0.00026511765,0.00006426136,0.00033991382,0.00007934015,0.0001593584,0.00006425939,0.00053751114,2.312818e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034108644,0.002306249,0.034683846,0.0007466528,0.00067980186,0.00011579571,0.010289005,0.58032674,0.00012976446,0.3669401,0.0014075261,0.0020334243],"study_design_scores_gemma":[0.021329155,0.0020812822,0.009295645,0.0035800033,0.00026694144,0.00019948189,0.0076192296,0.89106935,0.0004773545,0.062280476,0.00065605686,0.0011450459],"about_ca_topic_score_codex":0.00001173322,"about_ca_topic_score_gemma":0.0000021364815,"teacher_disagreement_score":0.3107426,"about_ca_system_score_codex":0.00023031062,"about_ca_system_score_gemma":0.00007480282,"threshold_uncertainty_score":0.9999801},"labels":[],"label_agreement":null},{"id":"W4409791034","doi":"10.61091/jcmcc127a-463","title":"Dynamic Analysis and Simulation Study of Tennis Serve Trajectories","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Computer graphics (images)","score_opus":0.005906638559090271,"score_gpt":0.24140524132640634,"score_spread":0.23549860276731607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796046,0.00024562184,0.015285378,0.00000793743,0.004575068,0.00019568301,0.0000021483725,0.000029293487,0.00005425316],"genre_scores_gemma":[0.99883527,0.0000329862,0.0010262257,0.0000017744794,0.000083168845,7.3678746e-7,0.0000011505159,0.000016794884,0.0000018993035],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983725,0.000033279866,0.0009751931,0.00013022196,0.0003274197,0.00016138416],"domain_scores_gemma":[0.99864024,0.00033906105,0.0004392031,0.00016660593,0.00034605686,0.000068851004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007157322,0.00020552297,0.0007814282,0.0005259364,0.00010555859,0.00009350931,0.00016649341,0.00011690143,0.0000015961125],"category_scores_gemma":[0.00008717271,0.00018592436,0.00012642077,0.0009069722,0.000032193708,0.000103444916,0.000090388494,0.00022862652,5.17888e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009584967,0.009942519,0.06500981,0.0052496344,0.020696737,0.0001855391,0.02652959,0.26175925,0.011486266,0.57334614,0.00005240387,0.024783628],"study_design_scores_gemma":[0.0030993286,0.0005762808,0.006104923,0.00016687707,0.001276001,0.000008060985,0.001680254,0.8742323,0.00019311575,0.1124098,0.000019073428,0.00023400497],"about_ca_topic_score_codex":0.000013002482,"about_ca_topic_score_gemma":0.0000052426835,"teacher_disagreement_score":0.612473,"about_ca_system_score_codex":0.000057856978,"about_ca_system_score_gemma":0.000032245112,"threshold_uncertainty_score":0.7581775},"labels":[],"label_agreement":null},{"id":"W4409791036","doi":"10.61091/jcmcc127a-437","title":"Research on multi-objective dynamic planning path modeling for college students’ career choice in employment and entrepreneurship","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Career path; Career planning; Path (computing); Sociology; Psychology; Management; Mathematics education; Pedagogy; Business; Computer science; Economics","score_opus":0.05279217246460185,"score_gpt":0.3709871846625556,"score_spread":0.31819501219795376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99434066,0.00009488496,0.0019631763,0.00019090547,0.0025943832,0.0004583623,0.000003154082,0.0000066175867,0.00034785017],"genre_scores_gemma":[0.99785113,0.000010709684,0.0019055551,0.000031559546,0.0001407018,0.000012795724,0.0000012338513,0.0000139936465,0.00003233589],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980765,0.000084068604,0.00067926804,0.00023358922,0.0006370448,0.0002895236],"domain_scores_gemma":[0.9981833,0.0011215018,0.0002570608,0.00012989377,0.00022300138,0.00008521001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002395076,0.00015908339,0.00034107108,0.00027568743,0.00034787206,0.00012254114,0.00028040208,0.00009698154,0.0000032020248],"category_scores_gemma":[0.0006406522,0.00013698888,0.000052996125,0.00049431564,0.000072919924,0.00014821457,0.00027046484,0.00045424176,6.3295954e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005031602,0.00488655,0.12864143,0.00034915563,0.00022407851,0.000018809607,0.00902404,0.014808342,0.0011047375,0.83609295,0.00057017466,0.0037765964],"study_design_scores_gemma":[0.012158012,0.0015943643,0.05375386,0.0019066392,0.000069410926,0.000014749001,0.0072906353,0.18086745,0.00030847,0.7411039,0.00046436372,0.00046815822],"about_ca_topic_score_codex":0.00006217423,"about_ca_topic_score_gemma":0.000007448736,"teacher_disagreement_score":0.1660591,"about_ca_system_score_codex":0.00042061738,"about_ca_system_score_gemma":0.00008989578,"threshold_uncertainty_score":0.5586244},"labels":[],"label_agreement":null},{"id":"W4409791039","doi":"10.61091/jcmcc127a-452","title":"Research on optimization model of concrete proportioning based on particle swarm algorithm in construction engineering technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Wireless Sensor Networks and IoT","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Particle swarm optimization; Swarm behaviour; Computer science; Algorithm; Optimization algorithm; Mathematical optimization; Mathematics; Artificial intelligence","score_opus":0.013444408344814385,"score_gpt":0.2561220367012447,"score_spread":0.24267762835643034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7368398,0.00009483123,0.2582335,0.000074506344,0.0039780666,0.00024205733,0.0000011508719,0.0000571555,0.00047898217],"genre_scores_gemma":[0.96965456,0.00002402309,0.03012019,0.0000038005944,0.00017086546,0.0000025913466,5.8526854e-7,0.00002229624,0.00000109371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834627,0.000045912137,0.00082380534,0.00012814341,0.0003957558,0.00026008507],"domain_scores_gemma":[0.998776,0.0004062784,0.00023603174,0.00015225029,0.00037414522,0.000055302713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011270912,0.00016025346,0.00046176187,0.0006306384,0.000090532645,0.000055209104,0.00015816768,0.00018245298,0.0000010942598],"category_scores_gemma":[0.00020867331,0.00015877237,0.000058854403,0.00078921975,0.00007187662,0.00007611012,0.000043133863,0.00064636715,2.0890648e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003344059,0.000054963642,0.0000353732,0.000116287105,0.000020424417,0.0000039981537,0.00005903808,0.75089705,0.00049358566,0.24725287,0.0000109845005,0.0010219989],"study_design_scores_gemma":[0.0020968148,0.00034275532,0.0000066930806,0.0010382368,0.000016122667,0.000004687404,0.00015732547,0.9602694,0.00796256,0.027984394,0.0000067443207,0.0001143024],"about_ca_topic_score_codex":0.0000017491482,"about_ca_topic_score_gemma":5.031495e-8,"teacher_disagreement_score":0.23281477,"about_ca_system_score_codex":0.00013795549,"about_ca_system_score_gemma":0.000077925906,"threshold_uncertainty_score":0.6474549},"labels":[],"label_agreement":null},{"id":"W4409791042","doi":"10.61091/jcmcc127a-459","title":"Comprehensive Evaluation Model Construction of Multidimensional Financial Indicators Based on Entropy Weight Method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Research studies in Vietnam","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entropy (arrow of time); Econometrics; Computer science; Mathematics; Physics; Thermodynamics","score_opus":0.015038751692217139,"score_gpt":0.3103647214864938,"score_spread":0.29532596979427667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90095234,0.00013470413,0.084690034,0.00029400468,0.0099468175,0.0007734376,0.0000056972626,0.000019488587,0.0031835015],"genre_scores_gemma":[0.9055767,0.000021279811,0.09412996,0.00004820912,0.0002012138,0.0000043545583,0.0000013699959,0.0000135267555,0.0000033977321],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965418,0.00032639096,0.0010455427,0.00025533413,0.001556,0.00027493632],"domain_scores_gemma":[0.9969467,0.0012758237,0.0010326292,0.00024081295,0.0003839462,0.000120123914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024582408,0.0002453912,0.000676356,0.0003191922,0.00030943652,0.0000357289,0.00031302747,0.0001548769,0.000037637335],"category_scores_gemma":[0.0014425544,0.00021128652,0.00018422792,0.0005736865,0.00031243236,0.00012521338,0.00034133124,0.0004774111,0.0000018344457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007152774,0.0016211335,0.0028052055,0.0003087823,0.00018709888,0.000009080322,0.00079307065,0.059184138,0.004817337,0.90726334,0.0017256141,0.020569913],"study_design_scores_gemma":[0.0051606987,0.0005191807,0.00091659,0.00033073954,0.00012311165,0.000006844611,0.00010892173,0.6207674,0.003419479,0.3680436,0.00042994757,0.00017351311],"about_ca_topic_score_codex":0.0000067955057,"about_ca_topic_score_gemma":1.4044907e-7,"teacher_disagreement_score":0.5615832,"about_ca_system_score_codex":0.00032283104,"about_ca_system_score_gemma":0.00026055233,"threshold_uncertainty_score":0.8616014},"labels":[],"label_agreement":null},{"id":"W4409791054","doi":"10.61091/jcmcc127a-311","title":"Research on the model of piano practice time allocation and performance effect evaluation based on integer programming","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Integer programming; Piano; Integer (computer science); Computer science; Operations research; Mathematics; Algorithm; Art; Programming language; Art history","score_opus":0.034459465849380776,"score_gpt":0.3343311407075668,"score_spread":0.29987167485818605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9373565,0.0001748655,0.052605323,0.0029405947,0.0032144163,0.00079614983,2.5686248e-7,0.000052994237,0.002858907],"genre_scores_gemma":[0.99523234,0.000014055897,0.0045688455,0.00006072598,0.00010088632,0.000009153352,1.5841212e-7,0.000008393196,0.000005415124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975847,0.0005045917,0.00057491614,0.00019822744,0.00092811376,0.00020945081],"domain_scores_gemma":[0.9930422,0.004869723,0.00054749113,0.00033337946,0.001167854,0.0000393893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01153641,0.00016015023,0.00038506978,0.00032890573,0.0004297819,0.00016386814,0.00051803957,0.00012957488,5.144073e-7],"category_scores_gemma":[0.0027414383,0.00010854667,0.00006111233,0.0005395969,0.00016969246,0.00019753666,0.00025090142,0.0006637297,6.8715934e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016445294,0.00034061336,0.00003455684,0.00013697294,0.000065687585,0.0000010564721,0.0008871697,0.0010035188,0.00010901937,0.98125666,0.0001800418,0.015820231],"study_design_scores_gemma":[0.0015938869,0.0017952365,0.000043296728,0.00063218246,0.000055165754,0.0000049519736,0.0001496366,0.7844245,0.0008685383,0.21021037,0.00013483543,0.00008739885],"about_ca_topic_score_codex":0.0000019141448,"about_ca_topic_score_gemma":6.270785e-8,"teacher_disagreement_score":0.783421,"about_ca_system_score_codex":0.00008933773,"about_ca_system_score_gemma":0.0002178569,"threshold_uncertainty_score":0.44264048},"labels":[],"label_agreement":null},{"id":"W4409791058","doi":"10.61091/jcmcc127a-440","title":"Deep Learning Based Peach Quality and Disease Detection Methods for Research in Intelligent Food Safety Detection","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Computer science; Food safety; Deep learning; Artificial intelligence; Food science; Biology","score_opus":0.06529168983682028,"score_gpt":0.42125030703974514,"score_spread":0.3559586172029249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791058","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41024974,0.0019553741,0.5844364,0.00016155862,0.0024967873,0.00025662087,0.0000011779298,0.000033805693,0.0004085267],"genre_scores_gemma":[0.993536,0.000075610704,0.005932015,0.000010722157,0.00040508175,0.00000846434,0.0000013639036,0.00002186003,0.0000089146915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99739075,0.00035992498,0.0011811374,0.000293561,0.00040968318,0.00036497568],"domain_scores_gemma":[0.99412847,0.0042213076,0.0006244363,0.00018292514,0.00062747474,0.00021537096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006121384,0.00022647384,0.0006968561,0.0006391255,0.0004959538,0.00019239867,0.00022639945,0.00020256134,0.0000064087476],"category_scores_gemma":[0.005297563,0.00021958783,0.00017640738,0.00087498216,0.000101608195,0.00011049311,0.00014920453,0.0009752166,1.4819804e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00694822,0.004173872,0.005731426,0.01038871,0.001214709,0.000019868554,0.0025405446,0.0018249154,0.072474934,0.5583997,0.000020029289,0.33626306],"study_design_scores_gemma":[0.0063542607,0.00081279466,0.0004445677,0.00055243965,0.0003364284,0.000008936412,0.0018942436,0.12605688,0.09111763,0.7713302,0.0007222694,0.00036940665],"about_ca_topic_score_codex":0.000016441589,"about_ca_topic_score_gemma":0.0000026934704,"teacher_disagreement_score":0.5832862,"about_ca_system_score_codex":0.00033955526,"about_ca_system_score_gemma":0.00016586648,"threshold_uncertainty_score":0.8954532},"labels":[],"label_agreement":null},{"id":"W4409791059","doi":"10.61091/jcmcc127a-417","title":"Study on determining the weights of risk assessment indexes based on AHP hierarchical analysis for barracks facilities construction units in highland and alpine areas","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Environmental science; Risk analysis (engineering); Geography; Computer science; Engineering; Operations research; Business","score_opus":0.019519736827181847,"score_gpt":0.28399694941545817,"score_spread":0.26447721258827633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9468065,0.000023336472,0.050273165,0.000043424458,0.0022544686,0.00034267706,0.000008801422,0.000012767073,0.0002348892],"genre_scores_gemma":[0.99759716,0.000013099523,0.0022633336,0.000008494703,0.00009898332,0.00000456271,0.0000026747646,0.0000099981535,0.0000016895318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983891,0.00017434836,0.00081249094,0.00012269965,0.0003754385,0.00012587219],"domain_scores_gemma":[0.9969882,0.0020438484,0.00037060614,0.0001381564,0.0004090955,0.00005010293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014036596,0.00017022647,0.00054672983,0.00051181164,0.00016233714,0.0000987861,0.00012514005,0.00008249299,0.0000020399866],"category_scores_gemma":[0.0005104313,0.00012781407,0.000078518766,0.0005047059,0.00005766776,0.000067828056,0.000032769603,0.00032144744,3.2903145e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033224592,0.0010913521,0.10206192,0.00032337374,0.00088035455,0.0000030351976,0.0053823143,0.3758758,0.000015777,0.5111819,0.00003612602,0.002815789],"study_design_scores_gemma":[0.007936286,0.00081900315,0.027316922,0.0002866645,0.0004006681,0.0000010701235,0.0013041827,0.8425975,0.00009264621,0.119061895,0.000022727554,0.00016043932],"about_ca_topic_score_codex":0.0000028149955,"about_ca_topic_score_gemma":0.0000019809893,"teacher_disagreement_score":0.46672168,"about_ca_system_score_codex":0.000061043065,"about_ca_system_score_gemma":0.00008165906,"threshold_uncertainty_score":0.5212106},"labels":[],"label_agreement":null},{"id":"W4409791061","doi":"10.61091/jcmcc127a-342","title":"Optimal electric bus frequency setting combining LSTM prediction and two-layer planning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Tianjin University; University of Hong Kong","keywords":"Layer (electronics); Computer science; Artificial intelligence; Materials science","score_opus":0.007541340329630994,"score_gpt":0.23138789986593727,"score_spread":0.22384655953630628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96301466,0.0019929383,0.016239528,0.000032940086,0.014725734,0.00017962954,0.0000013628892,0.00013511594,0.00367807],"genre_scores_gemma":[0.9949818,0.00005620968,0.00394021,0.000011038633,0.0009579762,0.000002693986,0.0000011286236,0.000041986692,0.000006920813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99756837,0.00007470874,0.0012597892,0.00022112356,0.0004338862,0.0004421225],"domain_scores_gemma":[0.9984111,0.000506451,0.0004585471,0.000181685,0.00027908143,0.00016309573],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014323113,0.00034459037,0.0007342506,0.00042166232,0.0003739179,0.0002859851,0.00026010975,0.0001906871,0.0000020741218],"category_scores_gemma":[0.00025084132,0.00033141774,0.00011486483,0.0005186796,0.00004866809,0.00026598506,0.00011373188,0.000649716,6.4599226e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008315101,0.0004408235,0.003661465,0.0013935682,0.0006805566,0.00010044632,0.0057547404,0.06651214,0.025408225,0.8885535,0.00084552425,0.0065658716],"study_design_scores_gemma":[0.01076105,0.0011076676,0.0013526327,0.003374215,0.00037708424,0.00048607794,0.0018886613,0.7690947,0.003950049,0.20599316,0.0006601202,0.00095458206],"about_ca_topic_score_codex":0.000012022616,"about_ca_topic_score_gemma":1.4175232e-7,"teacher_disagreement_score":0.70258254,"about_ca_system_score_codex":0.00012557059,"about_ca_system_score_gemma":0.00009574585,"threshold_uncertainty_score":0.9999138},"labels":[],"label_agreement":null},{"id":"W4409791064","doi":"10.61091/jcmcc127a-470","title":"A Study of Regional Real Estate Market Differences and Convergence under Panel Data Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Panel data; Real estate; Convergence (economics); Econometrics; Economics; Business; Macroeconomics; Finance","score_opus":0.08669623760964477,"score_gpt":0.2699913963198673,"score_spread":0.1832951587102225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878495,0.0004256662,0.0068498305,0.00021512594,0.002562416,0.00016883995,0.000009614056,0.000007825108,0.0019111823],"genre_scores_gemma":[0.99768347,0.0014377158,0.00061288604,0.00001814897,0.00021132188,0.0000011080072,0.0000016062016,0.00001268407,0.000021065865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975735,0.000058109035,0.001693723,0.0003367283,0.00014188251,0.00019608357],"domain_scores_gemma":[0.9974916,0.00045272507,0.0014015466,0.00035509295,0.00019821581,0.000100821315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017232534,0.00021137724,0.0010926168,0.0003049253,0.00017682886,0.000120129676,0.00056012673,0.00010105952,0.000010485234],"category_scores_gemma":[0.00017337648,0.00020386896,0.00009857757,0.00021883105,0.00009896067,0.0002475146,0.0004332511,0.00024802872,6.9185205e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014110006,0.00091726833,0.014213821,0.00015833008,0.0005977702,0.000007536414,0.0018071963,0.0004040197,0.000006227451,0.98063606,0.00016127252,0.00094939535],"study_design_scores_gemma":[0.0031741522,0.00041671697,0.0032571903,0.00015600026,0.0001223604,0.000013828939,0.0025664382,0.31729802,0.000001852558,0.67265004,0.00012055143,0.00022284065],"about_ca_topic_score_codex":0.00043976094,"about_ca_topic_score_gemma":0.000008464606,"teacher_disagreement_score":0.316894,"about_ca_system_score_codex":0.00004488429,"about_ca_system_score_gemma":0.00008379866,"threshold_uncertainty_score":0.8313535},"labels":[],"label_agreement":null},{"id":"W4409791065","doi":"10.61091/jcmcc127a-454","title":"Research on Optimization of Rural Characteristic Industry Development Path Based on Multi-Objective Planning in the Context of Rural Revitalization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Path (computing); Rural development; Business; Environmental planning; Regional science; Economic growth; Operations management; Computer science; Geography; Engineering; Economics; Agriculture; Archaeology","score_opus":0.04186597783690155,"score_gpt":0.33282385969386996,"score_spread":0.2909578818569684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99262553,0.00005757531,0.003109319,0.00027486827,0.0023702197,0.00041356042,8.465689e-7,0.000004840323,0.0011432279],"genre_scores_gemma":[0.9988107,0.000027351403,0.00095160154,0.0000323913,0.00015607815,0.0000037620596,0.0000028699717,0.000007790374,0.000007437091],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9973508,0.0004930967,0.00085313985,0.00008223745,0.0010105002,0.00021023548],"domain_scores_gemma":[0.99742717,0.0013444017,0.0007083787,0.00010710128,0.00036363796,0.000049333292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044664745,0.0001348159,0.0004019315,0.0003472144,0.0003249243,0.000067747926,0.00030495969,0.00018068377,0.0000036588967],"category_scores_gemma":[0.0007129,0.000104952196,0.00006119326,0.00053454295,0.00016456026,0.000090712194,0.0000595398,0.00052020396,2.87564e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007331341,0.0026655244,0.01147463,0.0004045424,0.00011757457,0.00001251246,0.07240502,0.014478726,0.0001313053,0.89382136,0.00021742668,0.0035382744],"study_design_scores_gemma":[0.03536822,0.005430304,0.12262824,0.040971138,0.00025813407,0.0000117132295,0.5057878,0.10157939,0.0037502577,0.18045838,0.002112179,0.001644229],"about_ca_topic_score_codex":0.000028337046,"about_ca_topic_score_gemma":7.6027123e-7,"teacher_disagreement_score":0.71336293,"about_ca_system_score_codex":0.00023845478,"about_ca_system_score_gemma":0.00038503096,"threshold_uncertainty_score":0.42798266},"labels":[],"label_agreement":null},{"id":"W4409791066","doi":"10.61091/jcmcc127a-467","title":"Application of computer vision and virtual reality based technology in plant embossing process","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Virtual reality; Computer graphics (images); Embossing; Process (computing); Computer science; Human–computer interaction; Augmented reality; Engineering drawing; Architectural engineering; Engineering; Mechanical engineering","score_opus":0.007090915340578762,"score_gpt":0.27162272078987165,"score_spread":0.2645318054492929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.743993,0.00016176389,0.2538476,0.000086251064,0.0015646147,0.0001937381,0.0000020483967,0.00008294453,0.00006804034],"genre_scores_gemma":[0.9854837,0.000014426673,0.014373664,0.000005961987,0.000101554884,0.0000020719444,9.425474e-7,0.0000175241,1.5930483e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998542,0.00003957753,0.0008714541,0.00013665891,0.00023036907,0.00017991186],"domain_scores_gemma":[0.9988005,0.00037777872,0.0003975007,0.00016065742,0.00021430831,0.00004925051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007704912,0.00018433011,0.0005990774,0.0004281389,0.00006879265,0.000058221,0.00022123242,0.00018797666,2.0346224e-7],"category_scores_gemma":[0.00015262977,0.00017617886,0.000043094595,0.00044432332,0.00009740414,0.00015195,0.00010077124,0.00040772624,5.140971e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015390414,0.0005477386,0.0023279842,0.0017226862,0.00008366676,0.000013992034,0.0008597844,0.028436368,0.008727205,0.935093,0.00009856794,0.021935092],"study_design_scores_gemma":[0.0017424559,0.00029397846,0.00026914195,0.0010389783,0.00002543106,0.0000139955355,0.0001466714,0.47604048,0.007837515,0.5123922,0.000045076766,0.00015408391],"about_ca_topic_score_codex":0.000006717897,"about_ca_topic_score_gemma":7.743421e-7,"teacher_disagreement_score":0.44760412,"about_ca_system_score_codex":0.00008233385,"about_ca_system_score_gemma":0.000056037596,"threshold_uncertainty_score":0.71843654},"labels":[],"label_agreement":null},{"id":"W4409791067","doi":"10.61091/jcmcc127a-335","title":"Research on Competitive and Cooperative Strategies of Agricultural Product Marketing Based on Game Theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Marketing; Business; Game theory; Product (mathematics); Industrial organization; Economics; Microeconomics; Geography; Mathematics","score_opus":0.021341049211984504,"score_gpt":0.282589068230378,"score_spread":0.2612480190183935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9461949,0.00014393477,0.00071948033,0.0006429252,0.00479264,0.00041025318,0.0000011834513,0.000025781452,0.0470689],"genre_scores_gemma":[0.99857265,0.000007709886,0.00021712708,0.00005664936,0.0011153639,0.0000023719103,0.0000025875338,0.000014594805,0.000010929814],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979541,0.00018085475,0.0007928902,0.00022667002,0.00059511635,0.0002503911],"domain_scores_gemma":[0.9951638,0.0016279357,0.00080735347,0.00015008973,0.0022317548,0.000019043375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048903236,0.00023743676,0.00055174547,0.0005832522,0.00035598336,0.00048669247,0.00023557086,0.00010629221,0.000008187145],"category_scores_gemma":[0.0012372099,0.0001787121,0.000069111535,0.0010232176,0.0002233732,0.0004920669,0.00014508088,0.0005174174,0.000001281053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005228665,0.0004454206,0.00013075922,0.0006084518,0.00005709396,0.000003947618,0.00009834369,0.0005338137,0.0005788566,0.9960302,0.00016378831,0.0008264432],"study_design_scores_gemma":[0.007411858,0.00089716335,0.020469585,0.0055775945,0.00016093244,0.000009389132,0.011256067,0.010457385,0.0019018649,0.9405433,0.0008232441,0.00049160124],"about_ca_topic_score_codex":0.000009457455,"about_ca_topic_score_gemma":4.239563e-7,"teacher_disagreement_score":0.0554869,"about_ca_system_score_codex":0.0000464543,"about_ca_system_score_gemma":0.00014608126,"threshold_uncertainty_score":0.7287668},"labels":[],"label_agreement":null},{"id":"W4409791068","doi":"10.61091/jcmcc127a-330","title":"A study on the weight allocation of multi-objective linear programming in the evaluation system of English education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Linear programming; Computer science; Mathematics education; Mathematical optimization; Mathematics","score_opus":0.025972363979795188,"score_gpt":0.3330771453376384,"score_spread":0.3071047813578432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751103,0.00019763899,0.011960222,0.00045502963,0.010479877,0.0012279787,2.8559606e-7,0.000015568514,0.00055309595],"genre_scores_gemma":[0.99571466,0.0000035784578,0.0039896704,0.000011386348,0.0002492948,0.000025571995,3.3104726e-7,0.000004438877,0.0000010467205],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99771667,0.0004752892,0.0008904886,0.00014797701,0.00065272214,0.00011687379],"domain_scores_gemma":[0.99544805,0.0013068452,0.0010825624,0.00032934855,0.0018135577,0.000019646142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055726203,0.00013017489,0.0003366414,0.0002690531,0.0001508287,0.00006239023,0.00076484546,0.000079633464,2.5661382e-7],"category_scores_gemma":[0.0013774532,0.00008313381,0.00007224449,0.00076149544,0.0000581472,0.00013419456,0.00012228632,0.00034925548,1.2438923e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001587384,0.0028804184,0.0010337452,0.000092995266,0.000065120264,5.219044e-7,0.011690147,0.000052907195,0.000038828344,0.9798047,0.000022419674,0.0043023024],"study_design_scores_gemma":[0.010763916,0.0038837995,0.02131087,0.0048085134,0.00047471025,0.000024678098,0.14160931,0.076983064,0.0057463674,0.7337112,0.00022010415,0.00046346782],"about_ca_topic_score_codex":0.00001019459,"about_ca_topic_score_gemma":6.746034e-7,"teacher_disagreement_score":0.24609353,"about_ca_system_score_codex":0.00012356638,"about_ca_system_score_gemma":0.0006051258,"threshold_uncertainty_score":0.33900982},"labels":[],"label_agreement":null},{"id":"W4409791070","doi":"10.61091/jcmcc127a-322","title":"The Construction of Educational Management Performance Evaluation System Based on the Hierarchical Analysis Method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.020705408925278706,"score_gpt":0.356881174600659,"score_spread":0.33617576567538027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78443336,0.00019415018,0.058880903,0.018536258,0.031727776,0.0020865663,0.0000037317307,0.000047466874,0.10408976],"genre_scores_gemma":[0.98619026,0.000015669624,0.013256744,0.000027438056,0.00047212865,0.000012306886,9.5139075e-7,0.000005374979,0.000019155294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99707085,0.0007351312,0.00080483686,0.00011984377,0.0011092795,0.00016007431],"domain_scores_gemma":[0.9926577,0.004565842,0.0009913077,0.00019726981,0.0015487231,0.000039109338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010992558,0.000118179676,0.00031371138,0.00034083353,0.0010850052,0.00014304886,0.0004148053,0.00007539456,0.000009889654],"category_scores_gemma":[0.0012182835,0.00007716041,0.00014098555,0.0013751655,0.00028027312,0.000074838754,0.000059759375,0.00028482554,3.44066e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004438237,0.00014767113,0.00054742,0.00006143044,0.0002603275,1.0594111e-7,0.0006300389,0.00013861408,0.0000062357412,0.9939032,0.00023221462,0.004028326],"study_design_scores_gemma":[0.00096497283,0.00017387111,0.002559958,0.00054225884,0.0006823403,0.0000019148172,0.0050505204,0.06349157,0.00032058998,0.92455757,0.0015235308,0.0001308972],"about_ca_topic_score_codex":0.000015093057,"about_ca_topic_score_gemma":8.654923e-7,"teacher_disagreement_score":0.20175685,"about_ca_system_score_codex":0.0003155459,"about_ca_system_score_gemma":0.0006197832,"threshold_uncertainty_score":0.83450925},"labels":[],"label_agreement":null},{"id":"W4409791071","doi":"10.61091/jcmcc127a-466","title":"A Study of the Real-Time Impact of Economic Policies on Financial Market Liquidity Based on Time Series Analysis Methods","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Series (stratigraphy); Time series; Finance; Financial market; Economics; Financial system; Business; Mathematics; Statistics","score_opus":0.014929887563164395,"score_gpt":0.31716038147903886,"score_spread":0.3022304939158745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99105567,0.000013871773,0.0035561356,0.000031131145,0.0024740559,0.00030287472,0.0000073767656,0.000023215149,0.0025356577],"genre_scores_gemma":[0.99728405,0.000009279755,0.0025093881,0.0000061725896,0.00015207847,0.0000015672055,7.7432964e-7,0.000017129089,0.000019560863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978998,0.00035367257,0.0011072526,0.0001189621,0.00036583812,0.00015452075],"domain_scores_gemma":[0.9975486,0.000998643,0.0007647597,0.00031164414,0.0003168882,0.000059513284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020324725,0.00022352142,0.00091257825,0.0004607843,0.000119967626,0.00005695634,0.00031190712,0.00010998086,0.00003527352],"category_scores_gemma":[0.0004616051,0.00016772209,0.00037962326,0.000604546,0.00005241167,0.000081775375,0.000079777536,0.00022992626,5.429423e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037713614,0.0009890924,0.0009818111,0.00012212772,0.0009335223,0.0000010396349,0.0012484754,0.9467188,0.00056742015,0.047149476,0.00071793824,0.00019316496],"study_design_scores_gemma":[0.0036523421,0.001860251,0.0043301107,0.00025747984,0.00072613725,0.0000012575998,0.0001221874,0.9436323,0.0018059002,0.04340559,0.000009926822,0.00019652306],"about_ca_topic_score_codex":0.00001557816,"about_ca_topic_score_gemma":6.086603e-7,"teacher_disagreement_score":0.0062283683,"about_ca_system_score_codex":0.00017077156,"about_ca_system_score_gemma":0.00023256263,"threshold_uncertainty_score":0.68395084},"labels":[],"label_agreement":null},{"id":"W4409791072","doi":"10.61091/jcmcc127a-468","title":"Investigating the hydrological effects of smart technologies in urban rain garden design: a case study","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Architectural engineering; Meteorology; Hydrology (agriculture); Geography; Engineering; Geotechnical engineering","score_opus":0.01384643530285099,"score_gpt":0.24513896589747647,"score_spread":0.23129253059462548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99550194,0.0001832407,0.0010791579,0.00013164587,0.0021797451,0.0005736761,1.7492285e-7,0.000025599333,0.00032483137],"genre_scores_gemma":[0.99808973,0.0000063209463,0.0017878736,0.000013467859,0.000079821395,0.000007267343,7.483902e-8,0.0000101208125,0.000005330874],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978298,0.0003686233,0.00095785176,0.00018783878,0.0004177749,0.00023813093],"domain_scores_gemma":[0.996794,0.0022440555,0.00062504585,0.00022765453,0.000060261216,0.00004897304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025763658,0.00019878615,0.00055593514,0.00014115087,0.00020817458,0.000069455265,0.00038992823,0.00013945336,0.0000027689352],"category_scores_gemma":[0.0018395872,0.00013771646,0.00008108681,0.000558419,0.000251184,0.000105567706,0.00043613798,0.00050125347,7.306117e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056841003,0.01249601,0.55177635,0.0018173448,0.00089969294,0.0042637507,0.08712177,0.0033626114,0.01665529,0.29102853,0.004172335,0.025837895],"study_design_scores_gemma":[0.014997828,0.005763648,0.0048266975,0.0014080997,0.00040777726,0.0009579647,0.018366659,0.025414132,0.008062941,0.91901493,0.00017822777,0.0006011097],"about_ca_topic_score_codex":0.000059300724,"about_ca_topic_score_gemma":0.0000053454814,"teacher_disagreement_score":0.6279864,"about_ca_system_score_codex":0.00011798325,"about_ca_system_score_gemma":0.00005233317,"threshold_uncertainty_score":0.56159145},"labels":[],"label_agreement":null},{"id":"W4409791075","doi":"10.61091/jcmcc127a-384","title":"Computational Linguistic Interpretation and Modeling of Dress Metaphors in Ming Dynasty Novel Texts","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Linguistics; History; Philosophy; Literature; Art","score_opus":0.016816931148497898,"score_gpt":0.3050600731180573,"score_spread":0.28824314196955936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9243541,0.0009164063,0.06465809,0.000032049138,0.008407166,0.00021586815,0.0000033043075,0.0000131668085,0.0013998665],"genre_scores_gemma":[0.9948919,0.000012391055,0.004765694,0.000021246899,0.00027925646,0.000002409927,0.0000028137283,0.000017907245,0.0000064064393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977429,0.00013451751,0.0013169219,0.00021663292,0.0003665245,0.00022251868],"domain_scores_gemma":[0.99751025,0.00091183407,0.0007900496,0.00013022285,0.0005794001,0.00007823819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015437305,0.00021598527,0.0007161414,0.0004974945,0.00009581077,0.00008590725,0.00019075183,0.00015450246,0.000006342939],"category_scores_gemma":[0.0007054675,0.00020416497,0.00011806805,0.0003625791,0.00007779931,0.00010854486,0.000115338175,0.00039898045,4.3587335e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003571927,0.0010144801,0.00050805346,0.00044503756,0.00030726424,0.000021976064,0.023346193,0.0024540287,0.00032889112,0.96563053,0.00001193654,0.0055744243],"study_design_scores_gemma":[0.0058783414,0.00030006946,0.0005200993,0.0011222513,0.00022081968,0.00004961772,0.0035524368,0.31090257,0.000100547346,0.6771312,0.000012185498,0.00020988002],"about_ca_topic_score_codex":0.000061271225,"about_ca_topic_score_gemma":0.0000024381868,"teacher_disagreement_score":0.30844855,"about_ca_system_score_codex":0.000056219473,"about_ca_system_score_gemma":0.000098670906,"threshold_uncertainty_score":0.8325606},"labels":[],"label_agreement":null},{"id":"W4409791076","doi":"10.61091/jcmcc127a-471","title":"Simulation of Shallow Natural Gas Distribution in Tunnel Construction Area and Calculation of Elasticity Parameters Based on Pre-stacked AVO Inversion Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inversion (geology); Elasticity (physics); Geology; Geotechnical engineering; Materials science; Seismology; Composite material","score_opus":0.007446304200507743,"score_gpt":0.22689452797417392,"score_spread":0.21944822377366618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620008,0.00005210078,0.035088837,0.000049641338,0.0026094173,0.00014882938,0.000001920223,0.000027476393,0.000020966374],"genre_scores_gemma":[0.9978047,0.000008651509,0.002152859,0.0000019990364,0.000021879068,7.574823e-7,0.000002587163,0.0000063606462,1.9189099e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998811,0.000033004384,0.0006856868,0.00011248406,0.00021559127,0.00014223564],"domain_scores_gemma":[0.99866754,0.000539451,0.0004210925,0.00010969585,0.00023285714,0.000029353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046728473,0.00013608093,0.00043074597,0.00047402663,0.00005580707,0.000017410404,0.00012022328,0.0001990568,3.841993e-7],"category_scores_gemma":[0.00079495553,0.00013179041,0.000049943093,0.0005159852,0.00015235021,0.00009205962,0.00005311737,0.0003059841,4.0888352e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037306556,0.00047629036,0.012831345,0.00087358523,0.0000843847,0.000006137616,0.00058058265,0.6409462,0.0068540853,0.3280815,0.000014874845,0.008877935],"study_design_scores_gemma":[0.0020713573,0.0003569025,0.0014080259,0.00064744236,0.00003940525,0.0000035918745,0.00016099954,0.8835796,0.0057846173,0.10585349,0.000005122278,0.00008946068],"about_ca_topic_score_codex":0.0000053535086,"about_ca_topic_score_gemma":8.305349e-7,"teacher_disagreement_score":0.24263334,"about_ca_system_score_codex":0.000087953784,"about_ca_system_score_gemma":0.000045914905,"threshold_uncertainty_score":0.5374257},"labels":[],"label_agreement":null},{"id":"W4409791077","doi":"10.61091/jcmcc127a-336","title":"Research on automatic generation and personalized matching system of ideological and political education content based on intelligent technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ideology; Matching (statistics); Content (measure theory); Politics; Computer science; Political education; Personalized learning; Multimedia; Mathematics education; Political science; Psychology; Teaching method; Mathematics; Law","score_opus":0.069735291403146,"score_gpt":0.3869610421582355,"score_spread":0.3172257507550895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98750985,0.00018890979,0.0013774551,0.0037015388,0.0039336835,0.00032515716,7.584142e-7,0.000023728147,0.0029389376],"genre_scores_gemma":[0.9977569,0.0000151296,0.0015385466,0.00009807617,0.0005632377,0.000005156417,6.523538e-7,0.00000635193,0.0000159666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976591,0.0005375739,0.0007255023,0.00018207263,0.0005760088,0.00031976597],"domain_scores_gemma":[0.9964742,0.002153688,0.00032433178,0.000110611254,0.0007507116,0.00018643767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00331531,0.00014035385,0.00048481792,0.0004461519,0.00049290765,0.00012641102,0.00017196138,0.00024246365,0.0000051704783],"category_scores_gemma":[0.0021113525,0.0001101588,0.000060668128,0.0003634877,0.0005958698,0.000058605336,0.000083656625,0.00047453635,6.603547e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005197736,0.00050697086,0.0003162786,0.00023672631,0.000019596497,0.000001660864,0.00080898916,0.0000042139313,0.00014881267,0.99535596,0.000036721576,0.002512065],"study_design_scores_gemma":[0.0015422353,0.0013438022,0.00058443466,0.0015269817,0.00006777304,0.000011932871,0.019865843,0.007868705,0.00078552164,0.965999,0.00024666716,0.0001570891],"about_ca_topic_score_codex":0.00011535278,"about_ca_topic_score_gemma":0.0000013175212,"teacher_disagreement_score":0.029356973,"about_ca_system_score_codex":0.00023286272,"about_ca_system_score_gemma":0.00048554377,"threshold_uncertainty_score":0.44921455},"labels":[],"label_agreement":null},{"id":"W4409791080","doi":"10.61091/jcmcc127a-312","title":"Fourier transform-based pattern design method and geometric deformation in lacquer decorative design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lacquer; Fourier transform; Deformation (meteorology); Moiré pattern; Materials science; Engineering drawing; Mathematics; Computer science; Engineering; Composite material; Mathematical analysis; Computer vision","score_opus":0.025404919327573786,"score_gpt":0.2983319969795994,"score_spread":0.2729270776520256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038091622,0.00022728325,0.9570565,0.00033111445,0.0036591522,0.00031824887,4.5306217e-7,0.000028518461,0.00028707474],"genre_scores_gemma":[0.85094345,0.000024013816,0.14884053,0.000058223864,0.00011317824,0.0000048601155,3.5893424e-7,0.000011999503,0.0000034023558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99761915,0.00024637568,0.0010525994,0.00023960114,0.0005116565,0.00033061233],"domain_scores_gemma":[0.99651194,0.002220583,0.0005608468,0.00019432281,0.00035483728,0.00015745343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030878596,0.00027218726,0.0006606544,0.000658947,0.00016130255,0.0004676349,0.00049031887,0.0001462808,0.0000014933325],"category_scores_gemma":[0.00038090223,0.00023173042,0.00009743433,0.001030604,0.00005055853,0.00079108437,0.00015685655,0.0003708444,8.7214386e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002090021,0.0011751351,0.00079405593,0.0006223234,0.00016854581,0.000073599076,0.0027158165,0.0012838177,0.00015658737,0.7037675,0.00014353427,0.2888901],"study_design_scores_gemma":[0.0045599244,0.00081653806,0.00021780776,0.00068633666,0.000043897617,0.000031125437,0.00010663665,0.40461493,0.0028231002,0.58573693,0.00011002254,0.00025272713],"about_ca_topic_score_codex":0.0000045597735,"about_ca_topic_score_gemma":2.3425989e-7,"teacher_disagreement_score":0.8128518,"about_ca_system_score_codex":0.00010497439,"about_ca_system_score_gemma":0.00026603992,"threshold_uncertainty_score":0.94496924},"labels":[],"label_agreement":null},{"id":"W4409791081","doi":"10.61091/jcmcc127a-439","title":"A non-contact aircraft landing impact test spatial attitude and deformation measurement and analysis method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Aeronautics; Deformation (meteorology); Aerospace engineering; Test (biology); Geodesy; Computer science; Engineering; Geology; Geography; Meteorology","score_opus":0.018454453954524865,"score_gpt":0.3109626570289023,"score_spread":0.2925082030743774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8805702,0.00033031616,0.116342,0.00014121203,0.0019488597,0.00034987897,0.0000037621128,0.000021949974,0.00029183915],"genre_scores_gemma":[0.99497014,0.00005519606,0.0045171496,0.00003095481,0.00040270225,0.0000013590749,0.0000026689136,0.000015316364,0.000004528043],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99798965,0.000064394764,0.0009248268,0.00020179225,0.0005739758,0.0002453832],"domain_scores_gemma":[0.99787164,0.00040944185,0.00072301057,0.0001604328,0.0006373322,0.00019816519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024415387,0.00026757113,0.0010509168,0.0006224663,0.00027978615,0.00018966186,0.00010357018,0.00015223838,0.000005973167],"category_scores_gemma":[0.0004859726,0.000209987,0.00022553706,0.00044631882,0.00004152589,0.00016048491,0.00015647961,0.00038228548,4.0520942e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003158169,0.0064312476,0.3307557,0.006587606,0.021226767,0.00025940163,0.015947448,0.000066486034,0.04466191,0.5191949,0.00090669934,0.05080362],"study_design_scores_gemma":[0.04078078,0.012117767,0.27318645,0.004903292,0.016802285,0.00070274057,0.0017484148,0.25823742,0.008727227,0.38096932,0.0004293301,0.001395002],"about_ca_topic_score_codex":0.000040409486,"about_ca_topic_score_gemma":0.0000023429875,"teacher_disagreement_score":0.25817093,"about_ca_system_score_codex":0.00021057727,"about_ca_system_score_gemma":0.00018266153,"threshold_uncertainty_score":0.85630214},"labels":[],"label_agreement":null},{"id":"W4409791082","doi":"10.61091/jcmcc127a-451","title":"Research on optimal allocation of industrial internet resources based on converged edge computing and blockchain","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Enhanced Data Rates for GSM Evolution; The Internet; Computer science; Computer network; Telecommunications; Computer security; World Wide Web","score_opus":0.03770971658938151,"score_gpt":0.2995310437258487,"score_spread":0.2618213271364672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888711,0.000040993506,0.0009455665,0.001472712,0.0048702075,0.00029051257,7.610385e-7,0.000039232145,0.0034689251],"genre_scores_gemma":[0.9979455,0.0000024030965,0.0004901018,0.00017465289,0.0013518751,0.0000017185372,0.0000022622614,0.000021261258,0.0000102471895],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976575,0.0000908847,0.0010861943,0.00024157004,0.0006239733,0.00029990458],"domain_scores_gemma":[0.99630845,0.00138138,0.001026415,0.00024213953,0.0010139223,0.000027713626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037155044,0.00023841184,0.00061566965,0.0013458567,0.00035583682,0.00025490377,0.00043756905,0.0002809397,0.0000072068124],"category_scores_gemma":[0.0012295747,0.00021890856,0.00009274837,0.0011463799,0.00030131775,0.0001268094,0.00035266756,0.0010346622,0.0000024344956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028978536,0.00064182846,0.0014694353,0.00021977312,0.000087075816,0.000007831629,0.00019064265,0.00027120783,0.00021603945,0.9927604,0.0014999305,0.0023460528],"study_design_scores_gemma":[0.024033075,0.0024136398,0.0014609256,0.0074043926,0.00037414036,0.0000172815,0.0052389447,0.35719547,0.003937053,0.5912846,0.0057524857,0.0008880201],"about_ca_topic_score_codex":0.0000545297,"about_ca_topic_score_gemma":8.108082e-7,"teacher_disagreement_score":0.40147582,"about_ca_system_score_codex":0.00006427465,"about_ca_system_score_gemma":0.00009377516,"threshold_uncertainty_score":0.8926832},"labels":[],"label_agreement":null},{"id":"W4409791089","doi":"10.61091/jcmcc127a-427","title":"Calculation of Fatigue Threshold and Crack Expansion Rate of Natural Gas Pressure Vessel Steels and Yield Strength Dependence Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Shaanxi Province","keywords":"Materials science; Yield (engineering); Pressure vessel; Natural gas; Paris' law; Composite material; Fracture mechanics; Crack closure; Chemistry","score_opus":0.01125685722953329,"score_gpt":0.24233087587908939,"score_spread":0.2310740186495561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812775,0.00306438,0.012152873,0.000031896136,0.003205117,0.0001599568,0.0000031158984,0.000016595946,0.00008853504],"genre_scores_gemma":[0.9983695,0.00028994205,0.0011989827,0.000004090871,0.00011903834,5.754702e-7,0.0000013256986,0.000013989249,0.0000025153433],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984557,0.00004884611,0.00089838525,0.00014179596,0.00029430664,0.00016096923],"domain_scores_gemma":[0.99823105,0.0006421101,0.0005643301,0.000169507,0.00031848275,0.00007449786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007675498,0.00021274932,0.00078727864,0.00029974966,0.00008348692,0.00006414555,0.00015576632,0.00016422929,0.0000016705862],"category_scores_gemma":[0.0002690364,0.0001877119,0.00011333441,0.0004316992,0.000054174237,0.00018074008,0.00010451624,0.00036394445,2.632285e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003745234,0.0006689712,0.0051355213,0.0057626944,0.0043001366,0.000022819,0.005810222,0.025184363,0.058771428,0.88397884,0.0003285807,0.009661896],"study_design_scores_gemma":[0.004116202,0.0005274801,0.0022957453,0.0020947552,0.002334311,0.000017904238,0.0005974687,0.6413006,0.064657435,0.28151464,0.000079278005,0.00046417056],"about_ca_topic_score_codex":0.000012749957,"about_ca_topic_score_gemma":0.0000014052575,"teacher_disagreement_score":0.6161162,"about_ca_system_score_codex":0.000016660275,"about_ca_system_score_gemma":0.000038040922,"threshold_uncertainty_score":0.7654669},"labels":[],"label_agreement":null},{"id":"W4409791090","doi":"10.61091/jcmcc127a-346","title":"A study of the moderating effect of organizational training on the impact of employees’ behavioral resistance to AI technology and the application of structural equation modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Psychology; Resistance (ecology); Knowledge management; Social psychology; Applied psychology; Computer science; Machine learning","score_opus":0.052083545945028974,"score_gpt":0.3736307104155037,"score_spread":0.32154716447047477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878193,0.00004393143,0.010583586,0.00032999314,0.00070209923,0.0004915629,0.0000048052875,0.0000027448557,0.00002198591],"genre_scores_gemma":[0.9996716,0.0000016117663,0.00024545722,0.0000068132604,0.00006503507,0.0000018523876,3.217255e-7,0.0000065103877,8.423275e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997278,0.0002882382,0.0012980492,0.00013075353,0.00089103874,0.000113930626],"domain_scores_gemma":[0.9946238,0.0021533256,0.0015790197,0.00031487408,0.0013017531,0.00002724989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004159811,0.00014434199,0.00072006596,0.00020155813,0.00030205311,0.000081539416,0.00059714844,0.000101204445,9.0249415e-7],"category_scores_gemma":[0.0028622937,0.00006439805,0.000145175,0.0012122908,0.00017133642,0.00010131877,0.0002401549,0.0002914224,2.0929157e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074085663,0.0004942543,0.012823835,0.0000941123,0.0001776654,3.0161948e-7,0.015833667,0.010719002,0.0029028729,0.95452166,0.000026814145,0.0016649596],"study_design_scores_gemma":[0.0063180537,0.001939734,0.0028001862,0.00055551896,0.00018303772,0.000005181918,0.008261506,0.18562283,0.0030367617,0.7911516,9.447553e-7,0.00012466068],"about_ca_topic_score_codex":0.000034089753,"about_ca_topic_score_gemma":0.0000014963967,"teacher_disagreement_score":0.17490382,"about_ca_system_score_codex":0.000030295801,"about_ca_system_score_gemma":0.00015826916,"threshold_uncertainty_score":0.34266397},"labels":[],"label_agreement":null},{"id":"W4409791092","doi":"10.61091/jcmcc127a-316","title":"A linear regression modeling study of university language education and students’ expressive skills","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics education; Regression analysis; Linear regression; Psychology; Computer science; Mathematics; Statistics","score_opus":0.009016271058284573,"score_gpt":0.3082922826670181,"score_spread":0.2992760116087335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716274,0.00023606331,0.0237827,0.00012964128,0.0038594876,0.00019935679,2.7016011e-7,0.00001842325,0.00014662035],"genre_scores_gemma":[0.98884326,0.000027356193,0.01096831,0.000009341098,0.00012889774,6.0858713e-7,2.3017336e-7,0.0000046990385,0.000017292514],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986996,0.00013170786,0.0005086437,0.00017481358,0.000367316,0.00011791754],"domain_scores_gemma":[0.9982902,0.00037828463,0.00059903244,0.0002285052,0.00044192665,0.00006206754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090657594,0.00013611403,0.00038612203,0.00028902138,0.0001958447,0.00007161626,0.00061431533,0.000092191374,4.7281603e-7],"category_scores_gemma":[0.00021285584,0.00012035005,0.000047521633,0.00033558425,0.000037665057,0.00022553692,0.00052620395,0.00027793646,1.11992826e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005136653,0.006602532,0.0040398096,0.00015847127,0.00016664746,0.000012894235,0.010692666,0.00010270985,0.0005720467,0.9721396,0.00007956916,0.005381678],"study_design_scores_gemma":[0.012142178,0.0023321358,0.0029210467,0.0030525064,0.00030893565,0.00007212116,0.055741463,0.07605229,0.0020572508,0.8446435,0.00012619876,0.00055039336],"about_ca_topic_score_codex":0.000013627042,"about_ca_topic_score_gemma":2.8488873e-7,"teacher_disagreement_score":0.12749614,"about_ca_system_score_codex":0.000053256656,"about_ca_system_score_gemma":0.00025580922,"threshold_uncertainty_score":0.49077326},"labels":[],"label_agreement":null},{"id":"W4409791094","doi":"10.61091/jcmcc127a-339","title":"A Strategic Study of Hybrid Algorithms Applied to Optimize the External Tool Repository Tool Restriction Problem in the FMS Shop Floor Planning Process","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Computer science; Algorithm; Manufacturing engineering; Engineering drawing; Industrial engineering; Engineering","score_opus":0.01337019013148378,"score_gpt":0.2566778796441587,"score_spread":0.24330768951267495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90688384,0.00009858897,0.08779699,0.00002074557,0.0037318696,0.00076124625,7.26463e-7,0.000034906698,0.00067106227],"genre_scores_gemma":[0.9939301,0.00001113665,0.005614483,0.000007991916,0.00039543028,0.000017817143,5.4858225e-7,0.000020344522,0.0000021512478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99796206,0.00008537504,0.0010890643,0.00015948496,0.00047938275,0.00022461051],"domain_scores_gemma":[0.99861854,0.00045450326,0.0004445095,0.00022825341,0.00021602228,0.000038150338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012013689,0.00022694466,0.00047336798,0.00020001942,0.00022481244,0.00018264813,0.00043746977,0.00006406498,4.2958413e-7],"category_scores_gemma":[0.000121865465,0.00015713325,0.00005874712,0.00039872425,0.00003288149,0.00010028242,0.00007750954,0.0005404332,1.2707301e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014388334,0.0005699921,0.00006749247,0.0002762862,0.00008305034,0.000029686353,0.0042826533,0.9448827,0.00022867284,0.048794363,0.000027915019,0.0006133446],"study_design_scores_gemma":[0.008801218,0.0015693834,0.00048277536,0.0013366276,0.00030318432,0.000116303534,0.017660579,0.36395237,0.0027105426,0.602461,0.000029774319,0.00057626417],"about_ca_topic_score_codex":0.00000652607,"about_ca_topic_score_gemma":1.5529669e-7,"teacher_disagreement_score":0.5809303,"about_ca_system_score_codex":0.0000773615,"about_ca_system_score_gemma":0.00006598683,"threshold_uncertainty_score":0.6407708},"labels":[],"label_agreement":null},{"id":"W4409791099","doi":"10.61091/jcmcc127a-458","title":"The Impact of Artificial Intelligence on Economic Development: A Bibliometric Analysis Based on CiteSpace","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Shaanxi Province; Yulin Science and Technology Bureau","keywords":"Bibliometrics; Computer science; Library science","score_opus":0.022605516589672744,"score_gpt":0.29029630379984167,"score_spread":0.2676907872101689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841191,0.00005541348,0.008619828,0.00062991725,0.0037410117,0.0001939265,0.0000010144365,0.00003063304,0.0026091286],"genre_scores_gemma":[0.9989496,0.000006841798,0.00052391505,0.000055596738,0.0004439514,0.000001966545,0.0000017489992,0.000012860562,0.000003542034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99806154,0.000024427198,0.0011554558,0.00016405979,0.00034836683,0.00024617542],"domain_scores_gemma":[0.99640507,0.0013188506,0.0014126153,0.00028353906,0.00056067243,0.000019229383],"candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0018566488,0.0002252833,0.0005891967,0.018820109,0.00046731124,0.00037859086,0.0005320323,0.00012957535,0.00000992967],"category_scores_gemma":[0.0008677495,0.00016037823,0.00028928788,0.025682265,0.00013382306,0.00017251555,0.00015625278,0.0003938613,0.0000062675917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013073103,0.0004776161,0.0033182513,0.000054695218,0.00051477447,0.0000022988766,0.000036149984,0.002242208,0.000028198645,0.9804876,0.00026029212,0.012447197],"study_design_scores_gemma":[0.0013296913,0.00043163516,0.0068478854,0.0003873635,0.0005052076,0.0000016532368,0.0003433478,0.1508215,0.0007981888,0.83749133,0.00071729004,0.00032486537],"about_ca_topic_score_codex":0.000041912936,"about_ca_topic_score_gemma":0.0000027930853,"teacher_disagreement_score":0.1485793,"about_ca_system_score_codex":0.00012309213,"about_ca_system_score_gemma":0.00018994178,"threshold_uncertainty_score":0.9950273},"labels":[],"label_agreement":null},{"id":"W4409791106","doi":"10.61091/jcmcc127a-389","title":"Research on Optimization of National Security Education Knowledge Dissemination Path Based on Graph Theory Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Social Science Fund Youth Project; National Office for Philosophy and Social Sciences","keywords":"Computer science; Path (computing); Theoretical computer science; Graph theory; Graph; National security; Optimization algorithm; Algorithm; Mathematical optimization; Political science; Mathematics; Computer network; Combinatorics","score_opus":0.02685562598144413,"score_gpt":0.40806476049384127,"score_spread":0.38120913451239713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791106","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22530256,0.0007929172,0.23381354,0.0034345377,0.06792527,0.0033518402,0.000033388664,0.00021213712,0.46513382],"genre_scores_gemma":[0.988962,0.000028757186,0.009792582,0.00003821536,0.0011024779,0.000009668335,0.0000062206323,0.00001547928,0.00004463459],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964188,0.00090194755,0.00083835976,0.0001970949,0.0014117393,0.00023207726],"domain_scores_gemma":[0.9888643,0.004383653,0.00079972594,0.00015217897,0.00571623,0.00008390618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011174352,0.00016867636,0.00037252888,0.0011053064,0.0006385856,0.00013488931,0.00038881373,0.00019944401,0.00001449148],"category_scores_gemma":[0.0036988854,0.00016326127,0.00010799998,0.0015746432,0.00030109787,0.00017679529,0.0000666537,0.00057154766,8.2098114e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007790238,0.002133717,0.00003585971,0.00009686947,0.00002942809,3.7701886e-7,0.0027952641,0.00018251604,0.000029217232,0.98831666,0.0020143066,0.0042878664],"study_design_scores_gemma":[0.00073835434,0.0004782542,0.00008353491,0.0013251882,0.000019472875,7.5056977e-7,0.003390513,0.008294169,0.00087551156,0.98385555,0.0008039127,0.00013477095],"about_ca_topic_score_codex":0.000014525005,"about_ca_topic_score_gemma":4.2389973e-7,"teacher_disagreement_score":0.7636594,"about_ca_system_score_codex":0.0004845047,"about_ca_system_score_gemma":0.0021134785,"threshold_uncertainty_score":0.66576016},"labels":[],"label_agreement":null},{"id":"W4409791110","doi":"10.61091/jcmcc127a-385","title":"Bayesian Network-based Modeling of Consumer Behavioral Decision Making Processes in Digital Economy Platforms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Digital economy; Bayesian network; Bayesian probability; Computer science; Artificial intelligence; Economics; World Wide Web","score_opus":0.047581771352073796,"score_gpt":0.33957303640800723,"score_spread":0.2919912650559334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8324247,0.00016600292,0.16033727,0.000031975243,0.0050361957,0.0002098131,0.000001833506,0.000013037447,0.0017791778],"genre_scores_gemma":[0.9924725,0.0000038019043,0.0072153006,0.000033415672,0.00025277442,0.0000012413742,8.3797863e-7,0.000016128048,0.0000039937822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9954078,0.000036314887,0.003018804,0.0002720735,0.00093329576,0.00033169793],"domain_scores_gemma":[0.9928255,0.00288723,0.0018822013,0.00026300462,0.0020562469,0.000085837746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041188602,0.00025247165,0.0009596735,0.0008522563,0.00022444519,0.00055930944,0.00063928385,0.00018081539,0.000012657085],"category_scores_gemma":[0.004072358,0.00020097313,0.00016744033,0.0016631915,0.00009633802,0.0005549615,0.00027824185,0.0004384897,0.0000010203055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087950163,0.0018396849,0.033445735,0.00045302097,0.00008540895,0.00004105312,0.0018862477,0.0492621,0.00003757833,0.85827893,0.000423447,0.05336727],"study_design_scores_gemma":[0.0025050156,0.00016453661,0.000043195312,0.0011427319,0.000020046082,0.000010710218,0.0004645529,0.3344533,0.000041379735,0.660904,0.00011020662,0.00014029977],"about_ca_topic_score_codex":0.0000028530917,"about_ca_topic_score_gemma":0.0000015626149,"teacher_disagreement_score":0.28519124,"about_ca_system_score_codex":0.00008241433,"about_ca_system_score_gemma":0.00052064314,"threshold_uncertainty_score":0.8195446},"labels":[],"label_agreement":null},{"id":"W4409791112","doi":"10.61091/jcmcc127a-350","title":"An Effectiveness Assessment and Optimization Method for Artificial Intelligence-Assisted Visual Communication Design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hunan University of Science and Technology; Hunan University; Hunan Normal University; Tongmyong University","keywords":"Artificial intelligence; Computer science; Machine learning","score_opus":0.04293930695214261,"score_gpt":0.3856978959450037,"score_spread":0.3427585889928611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791112","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025607096,0.00010504016,0.9690179,0.00014812239,0.0045024916,0.0004998204,5.7976956e-7,0.00004066952,0.00007828026],"genre_scores_gemma":[0.5727316,0.000014256787,0.42712545,0.000011602346,0.00009999616,0.0000065990325,0.0000011710632,0.000008842665,4.7106147e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978529,0.0004544552,0.0008778392,0.00025125378,0.0003412049,0.00022233193],"domain_scores_gemma":[0.9954242,0.0028542932,0.00062672695,0.0002612534,0.0006914946,0.00014201048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003928147,0.00021656138,0.0005618619,0.00020471329,0.00036174266,0.000754812,0.00057325757,0.00012717879,5.0504184e-7],"category_scores_gemma":[0.00028283196,0.00019723576,0.00008984815,0.0003958649,0.00006372315,0.0006452708,0.00024878202,0.00024141159,1.4339837e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009627099,0.0007600517,0.000020734456,0.00018308527,0.00008165462,0.0000021642015,0.0003471964,0.0020611864,0.00053168216,0.93273705,0.0000072596276,0.06317168],"study_design_scores_gemma":[0.0006902034,0.0009545808,0.000073566705,0.00030389344,0.000046183282,0.000013230098,0.00013348022,0.51442534,0.0016811788,0.4815493,0.000010679333,0.0001183329],"about_ca_topic_score_codex":0.0000034735901,"about_ca_topic_score_gemma":9.612067e-8,"teacher_disagreement_score":0.5471245,"about_ca_system_score_codex":0.00009324147,"about_ca_system_score_gemma":0.00022871477,"threshold_uncertainty_score":0.80430406},"labels":[],"label_agreement":null},{"id":"W4409791113","doi":"10.61091/jcmcc127a-298","title":"Optimization of a near-infrared photothermally controlled nano-retarded release system for loading the anticancer drug adriamycin based on numerical simulation calculations","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nano-; Drug; Materials science; Infrared; Drug delivery; Anticancer drug; Computer science; Nanotechnology; Pharmacology; Composite material; Medicine; Optics; Physics","score_opus":0.008677244938320894,"score_gpt":0.2520731735879352,"score_spread":0.2433959286496143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7878519,0.0001038922,0.2024053,0.00021321818,0.0078617195,0.0013059425,0.00001112512,0.00004842418,0.00019843572],"genre_scores_gemma":[0.9906112,0.0000014432657,0.0089545585,0.000050676135,0.00033007513,0.000015044888,0.0000018974017,0.000028329056,0.0000067761343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99695754,0.00033727364,0.0015338218,0.000226447,0.0006580577,0.00028685594],"domain_scores_gemma":[0.99281025,0.0041450057,0.0015805943,0.00030972253,0.0010520109,0.000102394406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024937703,0.0002554191,0.0009420737,0.0001743526,0.00048645254,0.0002492045,0.00034572516,0.00011309852,0.000011412845],"category_scores_gemma":[0.001542991,0.0001899916,0.00027793358,0.00041199726,0.00011396935,0.00015737647,0.00006784069,0.00019839381,0.0000010365618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027825877,0.00059401774,0.00006956336,0.00040444924,0.000097631375,0.0000036257327,0.00047206983,0.8856918,0.019553006,0.090136185,0.00008380542,0.000111206355],"study_design_scores_gemma":[0.015324722,0.00036760527,0.000015979867,0.00085782504,0.00029598575,0.0000027073636,0.00018180363,0.9522941,0.02262787,0.007830369,0.00003417592,0.00016683558],"about_ca_topic_score_codex":0.0000125667275,"about_ca_topic_score_gemma":1.7241648e-7,"teacher_disagreement_score":0.20275925,"about_ca_system_score_codex":0.00018899747,"about_ca_system_score_gemma":0.00043405147,"threshold_uncertainty_score":0.7747632},"labels":[],"label_agreement":null},{"id":"W4409791114","doi":"10.61091/jcmcc127a-441","title":"Research on Service Quality Improvement of Takeaway Platform Based on Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Data and IoT Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Service quality; Service (business); Quality (philosophy); Artificial intelligence; Business; Marketing","score_opus":0.06333412274218035,"score_gpt":0.3535337788141994,"score_spread":0.29019965607201903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93258375,0.00011599683,0.05116315,0.0002720181,0.012015267,0.00042454028,0.00001000201,0.00012364978,0.003291632],"genre_scores_gemma":[0.9972052,0.000024718842,0.0024538238,0.0000268644,0.0002638966,0.0000026174116,0.0000014100244,0.00002009188,0.0000014007007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974975,0.00004681393,0.0012210562,0.00017242257,0.00074415683,0.00031803848],"domain_scores_gemma":[0.9969808,0.0015643988,0.00037939462,0.0003770777,0.00062354753,0.00007480454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022392883,0.00022593493,0.00061158714,0.000499829,0.0001724039,0.000084663574,0.0005163258,0.00018984576,0.0000036787578],"category_scores_gemma":[0.000615502,0.00019791492,0.00009997863,0.0007667437,0.000096254385,0.00011684982,0.00016181296,0.00084587396,0.0000020751008],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019104933,0.0004894025,0.000008924324,0.0005798725,0.000059459016,0.000004236048,0.00015167086,0.007841874,0.0034012732,0.962409,0.000119881566,0.024743363],"study_design_scores_gemma":[0.0009828707,0.0013662184,0.000034530745,0.0009949922,0.00002589586,0.0000016025733,0.0012810646,0.0645424,0.08313953,0.8471376,0.00028694028,0.00020638829],"about_ca_topic_score_codex":0.000006494363,"about_ca_topic_score_gemma":5.8682195e-7,"teacher_disagreement_score":0.11527143,"about_ca_system_score_codex":0.00015958157,"about_ca_system_score_gemma":0.000099884106,"threshold_uncertainty_score":0.80707365},"labels":[],"label_agreement":null},{"id":"W4409791117","doi":"10.61091/jcmcc127a-453","title":"Mathematical model construction for time-optimized path planning and curriculum efficiency enhancement in study tours","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Curriculum; Computer science; Mathematics education; Operations research; Industrial engineering; Engineering; Mathematics; Sociology; Pedagogy; Programming language","score_opus":0.03531749339712789,"score_gpt":0.35420729255619143,"score_spread":0.31888979915906357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.750847,0.00020282218,0.24449775,0.00013093467,0.0033125624,0.00053616986,0.00000133691,0.000016188827,0.00045527538],"genre_scores_gemma":[0.9439682,0.0000049965356,0.055766158,0.000012114206,0.000198857,0.000007750418,4.0207237e-7,0.000012554857,0.000028964852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99629694,0.00018631491,0.0018983985,0.0003470956,0.00091851695,0.00035274244],"domain_scores_gemma":[0.9949027,0.0029341918,0.0010017629,0.00025683263,0.00076752,0.00013700323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008073424,0.00024891124,0.0010120966,0.0005929194,0.00038643484,0.00044018982,0.00041933826,0.0001303172,0.000005357615],"category_scores_gemma":[0.0051005175,0.0001969812,0.00015306206,0.000688197,0.00011544668,0.00019520243,0.00021842572,0.00037005558,0.0000015858249],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035024693,0.004503026,0.0030589525,0.00015920657,0.00020172667,0.000014959999,0.005538593,0.013037077,0.0003281883,0.96879745,0.00057100016,0.0034395785],"study_design_scores_gemma":[0.004502454,0.00038716034,0.000041602838,0.00027551947,0.00008286597,0.000014207034,0.002039464,0.45981607,0.00005672388,0.5326453,0.000015615957,0.00012302854],"about_ca_topic_score_codex":0.0000030685694,"about_ca_topic_score_gemma":8.656294e-8,"teacher_disagreement_score":0.44677898,"about_ca_system_score_codex":0.00008153077,"about_ca_system_score_gemma":0.00022947353,"threshold_uncertainty_score":0.80326605},"labels":[],"label_agreement":null},{"id":"W4409791118","doi":"10.61091/jcmcc127a-420","title":"Modeling Research on the Relationship between Physical Training and Vocational Ability Enhancement of College Students in Public Security Colleges and Universities Based on Deep Learning Models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences; Department of Education of Zhejiang Province","keywords":"Vocational education; Training (meteorology); Public security; Psychology; Medical education; Mathematics education; Deep learning; Computer science; Pedagogy; Artificial intelligence; Medicine","score_opus":0.13464457334920277,"score_gpt":0.3965467455903412,"score_spread":0.26190217224113843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99435073,0.00003461314,0.00056015205,0.00180698,0.00055218744,0.00023269492,0.0000013155586,0.0000050222466,0.0024562858],"genre_scores_gemma":[0.9995848,0.00000838121,0.00013684687,0.00001690903,0.00023969256,0.0000023647792,5.5673166e-7,0.0000038537028,0.000006622513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975657,0.0008513647,0.0004502232,0.00014120949,0.0007643819,0.0002271584],"domain_scores_gemma":[0.9889388,0.010249386,0.00018961499,0.000073210125,0.0004538358,0.000095141004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005677576,0.00010133083,0.00033785412,0.0002210567,0.00077718706,0.00011112589,0.00020659198,0.00010181534,0.0000018865405],"category_scores_gemma":[0.0025085474,0.00008025945,0.000043516662,0.00041939295,0.00034529518,0.00012317841,0.00010239752,0.00062887924,9.733593e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044329598,0.0003684507,0.004939413,0.00006008479,0.000014704071,4.7020023e-7,0.011851817,0.00036383476,0.0000023042683,0.9821942,0.00000330831,0.00015710753],"study_design_scores_gemma":[0.00096778345,0.00034195912,0.002970163,0.0003061891,0.000017395365,1.9384203e-7,0.022799037,0.06658812,0.000010488774,0.90591604,0.000015652078,0.00006696434],"about_ca_topic_score_codex":0.000065177715,"about_ca_topic_score_gemma":0.0000039334277,"teacher_disagreement_score":0.07627812,"about_ca_system_score_codex":0.0001946574,"about_ca_system_score_gemma":0.00040964465,"threshold_uncertainty_score":0.5977573},"labels":[],"label_agreement":null},{"id":"W4409791120","doi":"10.61091/jcmcc127a-321","title":"Research on Multimodal Generation Strategy of Opera Style and Music Melody Based on Time Series Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Opera; Style (visual arts); Series (stratigraphy); Speech recognition; Style analysis; Computer science; Art; Literature","score_opus":0.053671529995958395,"score_gpt":0.3863430329613581,"score_spread":0.3326715029653997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98656684,0.000124761,0.0057541193,0.0004690741,0.0022358878,0.00025122013,0.0000029930068,0.000015942926,0.0045791552],"genre_scores_gemma":[0.99515605,0.000017109327,0.004066936,0.000022239248,0.00066714786,0.0000015194736,0.000002634867,0.000009411729,0.000056926943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99661547,0.0009486341,0.00083663885,0.00022799715,0.0011223427,0.00024890402],"domain_scores_gemma":[0.9953907,0.0025372813,0.0005381227,0.00016773022,0.0012351486,0.00013097774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065575144,0.00017455382,0.0007283739,0.0009492856,0.00071314117,0.0002714842,0.00027312434,0.00014592326,0.00002983913],"category_scores_gemma":[0.0009282549,0.00015311326,0.00020095376,0.0016400638,0.00024881455,0.0001497679,0.00008826421,0.00040276677,0.0000010065677],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018960747,0.0007145538,0.00024744926,0.0000684626,0.00046158038,0.0000063277835,0.0019409326,0.008396753,0.0004582224,0.98007643,0.00019567527,0.0072440007],"study_design_scores_gemma":[0.0050092074,0.002114379,0.002657272,0.0004894245,0.00094442506,0.0000022775678,0.0037667144,0.44375607,0.0014528668,0.5387237,0.00064975396,0.00043391826],"about_ca_topic_score_codex":0.000109675435,"about_ca_topic_score_gemma":0.000010880274,"teacher_disagreement_score":0.44135275,"about_ca_system_score_codex":0.00010426607,"about_ca_system_score_gemma":0.00038332187,"threshold_uncertainty_score":0.6243777},"labels":[],"label_agreement":null},{"id":"W4409791122","doi":"10.61091/jcmcc127a-445","title":"The Power of Smart Classrooms and Enlightened Minds – A Review of Generative Artificial Intelligence in Education","year":2025,"lang":"en","type":"review","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Engineering Education and Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Generative grammar; Power (physics); Cognitive science; Psychology; Artificial intelligence; Computer science; Mathematics education","score_opus":0.01897126063333868,"score_gpt":0.3102334117907064,"score_spread":0.2912621511573677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791122","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000117675576,0.9772373,0.010735084,0.00023065702,0.011052328,0.00046398805,0.0000011001969,0.000010722786,0.0001511327],"genre_scores_gemma":[0.0024035058,0.9889847,0.008400887,0.0000130196995,0.00016818826,0.00000909778,8.1231394e-7,0.000013730611,0.0000060655293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968807,0.00020604972,0.002139021,0.00021603922,0.00036651513,0.00019169397],"domain_scores_gemma":[0.99508744,0.0016514809,0.0021808837,0.00040669212,0.0006045848,0.00006891137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002016165,0.00028651746,0.0016696284,0.0004469533,0.00008771001,0.00008403516,0.00089682016,0.00023310454,0.0000011989379],"category_scores_gemma":[0.0012955717,0.00020679929,0.0002245408,0.00089059264,0.00011591499,0.0001013719,0.0003401035,0.0005435124,2.2669354e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002581472,0.00020232263,5.125648e-7,0.013785994,0.000047420635,9.762074e-7,0.00023102775,3.2551068e-7,9.5051917e-7,0.67597836,0.000053153817,0.30969635],"study_design_scores_gemma":[0.00040733608,0.0007927856,0.0000023473337,0.16102032,0.00035433777,0.00012525269,0.0002810894,0.0009290274,0.000116408286,0.76680475,0.068709105,0.00045725747],"about_ca_topic_score_codex":0.0000026279408,"about_ca_topic_score_gemma":3.8489108e-7,"teacher_disagreement_score":0.3092391,"about_ca_system_score_codex":0.000081833066,"about_ca_system_score_gemma":0.0011097416,"threshold_uncertainty_score":0.843303},"labels":[],"label_agreement":null},{"id":"W4409791124","doi":"10.61091/jcmcc127a-421","title":"Research on Multi-dimensional Dynamic Data Fusion and Real-time Calculation Method for Intelligent Monitoring of Safety Belts in Power Grid Construction Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Southern Power Grid","keywords":"Power grid; Grid; Computer science; Sensor fusion; Fusion; Power (physics); Real-time computing; Data mining; Reliability engineering; Engineering; Artificial intelligence; Geology; Geodesy; Physics","score_opus":0.033829260976270224,"score_gpt":0.3496372855925136,"score_spread":0.3158080246162434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77982527,0.0003018684,0.20986728,0.00031001956,0.008992245,0.000633232,0.000007350978,0.000025574562,0.00003715432],"genre_scores_gemma":[0.8710578,0.00007814029,0.12872861,0.000002630394,0.00011605459,0.000002141113,0.0000028585391,0.00000879467,0.000002941286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997645,0.00022148367,0.0010550069,0.00033100127,0.0005118259,0.00023564964],"domain_scores_gemma":[0.9971801,0.0014413277,0.0005919272,0.00043329145,0.00028727032,0.000066090994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005199544,0.00016660568,0.0005506866,0.00051887304,0.00023939155,0.000070982525,0.00060456246,0.00021898605,5.4011537e-7],"category_scores_gemma":[0.00030113678,0.00015362442,0.00005810706,0.00033943844,0.0001014234,0.00020038644,0.0007605461,0.00044767637,3.5620414e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030082313,0.0008224923,0.00078383443,0.0002835736,0.00010612518,0.0000095761225,0.0013871688,0.00048698616,0.00415432,0.9766824,0.00004820982,0.014934443],"study_design_scores_gemma":[0.0069227754,0.0013817447,0.0031323011,0.0020508703,0.000052241958,0.000070844515,0.0008729011,0.62144095,0.0037741575,0.3596344,0.00034900464,0.0003177865],"about_ca_topic_score_codex":0.000028234595,"about_ca_topic_score_gemma":9.012372e-7,"teacher_disagreement_score":0.620954,"about_ca_system_score_codex":0.00016276246,"about_ca_system_score_gemma":0.00011857793,"threshold_uncertainty_score":0.6264622},"labels":[],"label_agreement":null},{"id":"W4409791128","doi":"10.61091/jcmcc127a-270","title":"Research on the application of unmanned aerial vehicle multi-view image processing based on computational complexity analysis in the recognition and acceptance of infrastructure line defects","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Line (geometry); Computer vision; Image processing; Artificial intelligence; Image (mathematics); Mathematics","score_opus":0.033826297147002235,"score_gpt":0.3287094178780569,"score_spread":0.29488312073105466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85762495,0.00011373555,0.14113039,0.0001646614,0.00037945432,0.00043789967,0.000010816483,0.000011378056,0.00012672096],"genre_scores_gemma":[0.99044466,0.000017064522,0.009369148,0.000017482544,0.00012740641,0.000008574502,0.000005562023,0.000009955975,1.5474235e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847466,0.00015003401,0.0006859306,0.00012579502,0.00042140402,0.00014215872],"domain_scores_gemma":[0.9974829,0.0014300001,0.000397262,0.00016486553,0.00049390236,0.00003108836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015346605,0.00013815051,0.00041707186,0.00029131467,0.0001894244,0.00006602572,0.0002498587,0.000075465985,0.0000014127024],"category_scores_gemma":[0.00019598346,0.00009631558,0.00007996736,0.0012242283,0.00016215318,0.000071042225,0.00004469019,0.00046112336,1.7189656e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034313556,0.001695854,0.00053307856,0.0015920958,0.00030223074,0.0000031631062,0.0022133838,0.28847846,0.0031802831,0.6672392,0.00008001398,0.03433911],"study_design_scores_gemma":[0.001524798,0.00015830442,0.0028143723,0.00032258927,0.000075387616,0.000001060311,0.00036932703,0.6741242,0.00085519557,0.31966287,0.000016253605,0.00007567896],"about_ca_topic_score_codex":0.000005778705,"about_ca_topic_score_gemma":0.0000017048185,"teacher_disagreement_score":0.3856457,"about_ca_system_score_codex":0.00004931321,"about_ca_system_score_gemma":0.000054494587,"threshold_uncertainty_score":0.39276356},"labels":[],"label_agreement":null},{"id":"W4409791136","doi":"10.61091/jcmcc127a-344","title":"Calculation and Comprehensive Evaluation of China’s Tourism High-Quality Development Level and Regional Differences and Dynamic Evolution Based on Entropy Weight Method and TOPSIS Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"TOPSIS; Tourism; China; Entropy (arrow of time); Computer science; Econometrics; Mathematics; Geography; Operations research; Thermodynamics; Physics","score_opus":0.04424346370267852,"score_gpt":0.30925257984983817,"score_spread":0.26500911614715966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9431696,0.0003340423,0.05417789,0.0010044861,0.0010033399,0.00023903143,0.0000010215197,0.000014864608,0.00005572664],"genre_scores_gemma":[0.9920382,0.00002801664,0.007703438,0.000049314334,0.00016402031,0.0000029332034,0.0000035605992,0.000009155498,0.0000013703767],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998332,0.00007971213,0.00078058447,0.0002093191,0.000457675,0.00014069468],"domain_scores_gemma":[0.9979539,0.00036734948,0.0007772409,0.000104869156,0.0007752462,0.000021422287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017292162,0.00020017198,0.0005078119,0.00045114133,0.00035707135,0.00013844982,0.000089951034,0.00014931573,0.0000012419492],"category_scores_gemma":[0.0003044877,0.0001772016,0.000033815835,0.00027099586,0.000114915936,0.00024823428,0.00016165152,0.00025061183,6.433949e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000899713,0.00019843264,0.0050143325,0.00042776213,0.000106541745,9.0613497e-7,0.00020152247,0.00026021537,0.0005147849,0.98217887,0.000016981265,0.010989681],"study_design_scores_gemma":[0.0030715517,0.000058911224,0.053374853,0.00044200465,0.00018644099,0.000004215592,0.00022514371,0.41187832,0.00004285539,0.5305583,0.000019613371,0.00013777714],"about_ca_topic_score_codex":0.0000938222,"about_ca_topic_score_gemma":0.0000034945924,"teacher_disagreement_score":0.45162055,"about_ca_system_score_codex":0.00006382288,"about_ca_system_score_gemma":0.00007999315,"threshold_uncertainty_score":0.72260714},"labels":[],"label_agreement":null},{"id":"W4409791137","doi":"10.61091/jcmcc127a-457","title":"Multi cluster parallel spectral clustering algorithm for distribution area power network loss rate evaluation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Cluster (spacecraft); Algorithm; Computer network; Artificial intelligence","score_opus":0.01429567117352462,"score_gpt":0.2559919242336288,"score_spread":0.2416962530601042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791137","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.115221776,0.000851631,0.8544526,0.00007516103,0.028346166,0.0006905398,0.00000899076,0.000135391,0.00021770262],"genre_scores_gemma":[0.9688869,0.0000398005,0.030247288,0.00000998756,0.00075681263,0.000013681412,0.0000074117534,0.00003141409,0.0000067044366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979731,0.000070556634,0.0010378178,0.00017888242,0.0003301842,0.00040948464],"domain_scores_gemma":[0.99830824,0.00045486612,0.00044190467,0.00020851847,0.0005052412,0.00008121888],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023677885,0.0002942461,0.0006738724,0.00012875341,0.0002325327,0.00021378016,0.00029193787,0.00023773973,0.0000022844429],"category_scores_gemma":[0.00030990216,0.0002709863,0.00018969567,0.000277698,0.000051965344,0.00018261604,0.00013254995,0.000369886,6.3463636e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047504713,0.0013791827,0.00063899526,0.002230953,0.00242526,0.000054998636,0.0020280224,0.10958344,0.001251603,0.80363554,0.017573792,0.05872317],"study_design_scores_gemma":[0.0058435877,0.00023763333,0.00016835795,0.00059166894,0.00014238247,0.000029615794,0.00015484438,0.7899526,0.00023352022,0.20089094,0.0014866227,0.00026821182],"about_ca_topic_score_codex":0.0000022928316,"about_ca_topic_score_gemma":8.0077524e-7,"teacher_disagreement_score":0.8536651,"about_ca_system_score_codex":0.0002320096,"about_ca_system_score_gemma":0.000075938784,"threshold_uncertainty_score":0.99997425},"labels":[],"label_agreement":null},{"id":"W4409791141","doi":"10.61091/jcmcc127a-409","title":"Coupling Coordination Between Rural Digitalization and Rural Tourism: Evidence from 253 Counties in China","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Coupling (piping); Tourism; Economic geography; Rural tourism; Business; Loose coupling; Geography; Materials science; Tourism geography; Computer science; Metallurgy; Archaeology","score_opus":0.012682940007111052,"score_gpt":0.28227027213695843,"score_spread":0.26958733212984737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887244,0.0007886228,0.0007889452,0.0006397015,0.0071682604,0.00023932487,0.0000027070816,0.00003337443,0.0016146374],"genre_scores_gemma":[0.9979644,0.0002313003,0.0003014211,0.000009729456,0.0014485859,0.0000015666883,0.0000030600168,0.000014222489,0.000025720488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977524,0.00017530637,0.00092752173,0.00015550181,0.00068089424,0.0003083399],"domain_scores_gemma":[0.9956961,0.0025528981,0.0010940571,0.00010472375,0.00041459585,0.00013759751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030079843,0.00020297733,0.00063961843,0.0002434706,0.00047863496,0.00072200026,0.00030586217,0.00021032005,0.0000025148615],"category_scores_gemma":[0.0057716356,0.00020321638,0.00008538943,0.00050236046,0.00023633955,0.0007019074,0.00015905235,0.000365111,4.2844775e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018508149,0.00036305955,0.15469646,0.00030209564,0.00016824916,0.000018058434,0.029681712,0.000046544403,0.00019235685,0.80427754,0.000507396,0.009561427],"study_design_scores_gemma":[0.0031344357,0.0002512665,0.033791155,0.004236735,0.00014239455,0.000002084417,0.014877846,0.0038889092,0.00005289328,0.9387479,0.00047951064,0.00039489614],"about_ca_topic_score_codex":0.00077980384,"about_ca_topic_score_gemma":0.000019900137,"teacher_disagreement_score":0.13447033,"about_ca_system_score_codex":0.00019834627,"about_ca_system_score_gemma":0.00026219522,"threshold_uncertainty_score":0.8286924},"labels":[],"label_agreement":null},{"id":"W4409791142","doi":"10.61091/jcmcc127a-387","title":"A Study on the Improvement of English Listening Comprehension Skills Based on Linear Regression Modeling in a Multimodal Learning Framework","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Active listening; Computer science; Listening comprehension; Linear regression; Regression analysis; Artificial intelligence; Machine learning; Natural language processing; Psychology; Communication","score_opus":0.02672941229884284,"score_gpt":0.34808226770790257,"score_spread":0.3213528554090597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838637,0.000021618689,0.0046482235,0.00031603954,0.0088779675,0.0006888558,4.108835e-7,0.000029050667,0.00155411],"genre_scores_gemma":[0.9951872,0.0000062868244,0.003705414,0.000055970744,0.0010166905,0.0000066416237,4.002253e-7,0.00001644831,0.000004934736],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99696773,0.00051272847,0.0010921638,0.00020151203,0.0009728831,0.00025299893],"domain_scores_gemma":[0.9932603,0.0038778372,0.00097086903,0.00019884667,0.0016348909,0.000057218484],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005240126,0.00021832822,0.000581576,0.00040713992,0.0005588047,0.000104437015,0.00040400613,0.0001659758,0.0000031568513],"category_scores_gemma":[0.009042274,0.0001595801,0.000118913034,0.00076015736,0.00010397908,0.00009263635,0.00013714297,0.0010986368,2.0724087e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002566551,0.0037699004,0.0023714239,0.00008712606,0.00006110842,0.0000065665217,0.04415884,0.0043295864,0.00021423117,0.9434241,0.000047215595,0.0012732445],"study_design_scores_gemma":[0.0069785463,0.004882822,0.0007025188,0.012634748,0.00010442845,7.030081e-7,0.06790739,0.19471934,0.002050301,0.7090861,0.0003894696,0.00054362713],"about_ca_topic_score_codex":0.00005686907,"about_ca_topic_score_gemma":0.000001145003,"teacher_disagreement_score":0.234338,"about_ca_system_score_codex":0.00022482048,"about_ca_system_score_gemma":0.00034564483,"threshold_uncertainty_score":0.999305},"labels":[],"label_agreement":null},{"id":"W4409791143","doi":"10.61091/jcmcc127a-393","title":"Development of Costing and Budget Control Strategy for Shipbuilding Based on Machine Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology Assessment and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shipbuilding; Activity-based costing; Control (management); Manufacturing engineering; Computer science; Operations management; Engineering; Operations research; Business; Artificial intelligence; History; Accounting","score_opus":0.010274787476185498,"score_gpt":0.2508155580402444,"score_spread":0.24054077056405893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7127555,0.00042360814,0.28013247,0.00007800026,0.005080365,0.00047192865,0.0000020028758,0.00010484931,0.00095126446],"genre_scores_gemma":[0.9792721,0.000011329444,0.020571068,0.000009726555,0.00010774897,0.0000041183944,0.0000011078934,0.000020067855,0.0000027005094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986222,0.00002973542,0.00080464385,0.000118323886,0.00021483109,0.00021025853],"domain_scores_gemma":[0.9985534,0.0007328725,0.00040771152,0.00009232554,0.00016120156,0.00005251697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012008958,0.00020030877,0.0005465602,0.00029582315,0.00019397965,0.0000700885,0.0001693426,0.00011903786,0.0000010127903],"category_scores_gemma":[0.00022695775,0.00018997806,0.000068733905,0.0001614918,0.00003744895,0.00006433814,0.00006328589,0.00034965202,7.238596e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018223289,0.00033077385,0.0007375205,0.0016205476,0.00040615938,0.0000071656837,0.00045407066,0.015906867,0.0027262075,0.9521448,0.000093836235,0.025389804],"study_design_scores_gemma":[0.012945955,0.00089524785,0.00026200563,0.0014466579,0.0002340029,0.0000066938633,0.00050255953,0.8274349,0.004965619,0.14905219,0.0018785663,0.0003756169],"about_ca_topic_score_codex":6.3936665e-7,"about_ca_topic_score_gemma":2.4808364e-7,"teacher_disagreement_score":0.811528,"about_ca_system_score_codex":0.000065515465,"about_ca_system_score_gemma":0.000064179716,"threshold_uncertainty_score":0.77470803},"labels":[],"label_agreement":null},{"id":"W4409791144","doi":"10.61091/jcmcc127a-423","title":"Polynomial matrix sparse coding algorithm for extracting non-electrical signal characteristic parameters of key components of high-voltage direct current converter valves","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Southern Power Grid","keywords":"Current (fluid); Key (lock); Algorithm; Coding (social sciences); Matrix (chemical analysis); Voltage; SIGNAL (programming language); Polynomial matrix; Polynomial; Computer science; Mathematics; Electronic engineering; Matrix polynomial; Materials science; Engineering; Electrical engineering; Statistics; Mathematical analysis","score_opus":0.01278697165935864,"score_gpt":0.24981244409205802,"score_spread":0.2370254724326994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7756128,0.00061040564,0.16305725,0.000009937554,0.060042027,0.00051524997,0.000027512555,0.000039026727,0.000085794425],"genre_scores_gemma":[0.9928235,0.000053370248,0.0052816416,0.000002604101,0.0017834879,0.0000044521844,0.0000059181025,0.00004151391,0.0000035401113],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969981,0.00007686309,0.0018724813,0.00019696847,0.00047051202,0.00038511408],"domain_scores_gemma":[0.9963607,0.0017072685,0.0011846797,0.00018872575,0.00041815636,0.00014046184],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011953585,0.00035465555,0.0014586138,0.00037739886,0.00013168804,0.00009810077,0.0003540614,0.00017639226,0.0000026699436],"category_scores_gemma":[0.0002045256,0.000339566,0.0003473256,0.00030859472,0.00007506391,0.0001573984,0.0000974524,0.00045330828,4.8326586e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003793839,0.01115529,0.008509931,0.03486897,0.011313726,0.00016062899,0.017527193,0.003653924,0.30193093,0.29104277,0.02471466,0.29132813],"study_design_scores_gemma":[0.02222131,0.0021745034,0.0015795953,0.007330167,0.001301156,0.000099206285,0.00045044813,0.893986,0.050484546,0.015781516,0.0032213787,0.0013702048],"about_ca_topic_score_codex":0.000016434004,"about_ca_topic_score_gemma":1.04970674e-7,"teacher_disagreement_score":0.89033204,"about_ca_system_score_codex":0.000106944586,"about_ca_system_score_gemma":0.00011598132,"threshold_uncertainty_score":0.99990565},"labels":[],"label_agreement":null},{"id":"W4409791147","doi":"10.61091/jcmcc127a-446","title":"YOLO-R Computer Key Technology for Trackside Equipment Information Recognition and Detection","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Key (lock); Computer science; Artificial intelligence; Natural language processing; Computer security","score_opus":0.01184319272833365,"score_gpt":0.23888784279293968,"score_spread":0.22704465006460603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791147","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31358778,0.00020773949,0.6744063,0.00065437873,0.01054185,0.00040252716,0.0000015975138,0.000103056394,0.00009477654],"genre_scores_gemma":[0.9661681,0.000026999325,0.03343496,0.000054941927,0.00029693398,0.000008286306,0.0000012618884,0.0000069126127,0.0000015690358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982672,0.000058094884,0.0009955782,0.00018364777,0.00024332979,0.0002522029],"domain_scores_gemma":[0.99783796,0.00044318713,0.0008195262,0.00021184444,0.0006181207,0.00006935918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001352779,0.00020104516,0.0005165452,0.0006553144,0.000323983,0.00030140227,0.0004354009,0.00032442194,3.2368155e-7],"category_scores_gemma":[0.000324328,0.00018963194,0.00009203114,0.0004663929,0.000083093604,0.00066084386,0.0002930225,0.0003759029,0.0000013269116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050287515,0.00015773695,0.000045537086,0.0002852354,0.00009041444,0.000002924398,0.0010712176,0.0000062059753,0.0003907753,0.861021,0.000113143935,0.13676555],"study_design_scores_gemma":[0.0037455678,0.0009841806,0.00006722277,0.000378493,0.000054631957,0.00014709511,0.00024071148,0.034101572,0.003575356,0.95406663,0.0024305438,0.00020800905],"about_ca_topic_score_codex":0.0000031053219,"about_ca_topic_score_gemma":5.085628e-7,"teacher_disagreement_score":0.6525803,"about_ca_system_score_codex":0.00007738148,"about_ca_system_score_gemma":0.00008761893,"threshold_uncertainty_score":0.77329665},"labels":[],"label_agreement":null},{"id":"W4409791148","doi":"10.61091/jcmcc127a-273","title":"Research on Recommendation Framework for Personalized Push of Cultural and Creative Products in Tourist Cities Based on Multi-Level Computational User Profiling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); Tourism; Computer science; Recommender system; Data science; Human–computer interaction; World Wide Web; Geography","score_opus":0.09605011739251612,"score_gpt":0.36608114552325277,"score_spread":0.27003102813073665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96448344,0.000051029816,0.024752507,0.0050118826,0.0036397264,0.0009404033,0.000008913541,0.000032254393,0.0010798613],"genre_scores_gemma":[0.9667696,0.000004751356,0.03249009,0.00014915572,0.0005286046,0.000012628489,0.000014635792,0.000016632135,0.0000139372605],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99834555,0.00005785661,0.0007983293,0.00021164706,0.00036082524,0.00022581723],"domain_scores_gemma":[0.99583673,0.0016049003,0.0007215746,0.00011616783,0.0017066281,0.000013967014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022012868,0.00018736938,0.00049231376,0.00092352263,0.0003491911,0.0001996887,0.0002033303,0.00016872374,0.000004244743],"category_scores_gemma":[0.0023219073,0.00016558285,0.0000660362,0.00090118486,0.00022401204,0.000264849,0.00011769662,0.0006077655,4.5659795e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029323983,0.0006517179,0.0011423719,0.00049594615,0.00004956524,0.000001684564,0.00022562947,0.0002077225,0.00005215432,0.99557096,0.0005005462,0.00080843543],"study_design_scores_gemma":[0.007995246,0.0004071636,0.0016895605,0.002104078,0.00006637443,0.0000024321807,0.0049564433,0.04541237,0.0005777538,0.9357502,0.0007994258,0.00023895544],"about_ca_topic_score_codex":0.000023373803,"about_ca_topic_score_gemma":0.0000010491746,"teacher_disagreement_score":0.05982079,"about_ca_system_score_codex":0.00007745142,"about_ca_system_score_gemma":0.00010728463,"threshold_uncertainty_score":0.6752273},"labels":[],"label_agreement":null},{"id":"W4409791149","doi":"10.61091/jcmcc127a-297","title":"Research on Multi-Departmental Coordination Mechanism Based on Randomized Algorithm in Government Administration","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Administration (probate law); Mechanism (biology); Government (linguistics); Computer science; Process management; Algorithm; Public administration; Business; Knowledge management; Political science; Epistemology","score_opus":0.025549758945337914,"score_gpt":0.30924069595600756,"score_spread":0.28369093701066966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9306786,0.000048621692,0.03332375,0.0065761525,0.015832461,0.001827998,0.000004150393,0.000103579936,0.011604663],"genre_scores_gemma":[0.99652195,0.000003817264,0.002544421,0.00027710243,0.000596921,0.000016604748,0.0000047227863,0.000019010871,0.000015451786],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974451,0.00010929848,0.0010447046,0.00022253588,0.00089456263,0.0002837765],"domain_scores_gemma":[0.9973222,0.0011732058,0.0007457697,0.00020373338,0.0005354955,0.000019611647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004923891,0.00022659951,0.000655307,0.00088184304,0.00034343035,0.00029724717,0.00031793542,0.00019830675,0.000007709712],"category_scores_gemma":[0.0010058226,0.00020142188,0.00012971909,0.0010119829,0.00014340568,0.00025981473,0.00014853492,0.00074101385,0.000005963925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001511355,0.0015858577,0.00009337752,0.000087488595,0.000045704473,0.000018529647,0.00003184562,0.00004235016,0.00008782095,0.9941771,0.00029019272,0.002028396],"study_design_scores_gemma":[0.07919942,0.0004089833,0.00010989036,0.0008021185,0.00007711231,0.000003480272,0.00077382446,0.18352096,0.0013263965,0.73308104,0.00047081572,0.00022597573],"about_ca_topic_score_codex":0.000022029984,"about_ca_topic_score_gemma":0.0000027808587,"teacher_disagreement_score":0.26109606,"about_ca_system_score_codex":0.0002412317,"about_ca_system_score_gemma":0.00009768456,"threshold_uncertainty_score":0.8213746},"labels":[],"label_agreement":null},{"id":"W4409791150","doi":"10.61091/jcmcc127a-359","title":"Empirical Research on Innovation and Entrepreneurship Education and Cultural Confidence of College Students Based on Fuzzy Logic and Decision Tree Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Entrepreneurship education; Fuzzy logic; Decision tree; Empirical research; Tree (set theory); Decision tree learning; Computer science; Mathematics education; Mathematics; Sociology; Artificial intelligence; Business; Statistics; Combinatorics","score_opus":0.054046354319280274,"score_gpt":0.37701529508513204,"score_spread":0.32296894076585175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941237,0.00011530783,0.0006398526,0.0013114066,0.002331589,0.00028705003,0.000001213246,0.000017115626,0.0011727451],"genre_scores_gemma":[0.9974656,0.000022181068,0.0018207573,0.00027823434,0.00039128997,0.000003275364,0.0000024786757,0.000010227609,0.000005924204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99817914,0.000047550442,0.00077569846,0.00022810487,0.00058759924,0.00018191058],"domain_scores_gemma":[0.9968054,0.0010679764,0.000622778,0.00016594936,0.0013157532,0.000022083861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020227786,0.0001818033,0.0004269406,0.0010603999,0.00035442272,0.00027928897,0.00023421684,0.00017170358,0.0000016907471],"category_scores_gemma":[0.001225071,0.00015217402,0.000032221797,0.0012439504,0.00024414572,0.00026243148,0.00026912644,0.00048763762,5.659447e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118781856,0.00073234056,0.009987228,0.00017245392,0.000029622877,0.0000034891473,0.00008521828,0.000003185673,0.00010839405,0.96699625,0.0006629211,0.021100126],"study_design_scores_gemma":[0.0033521403,0.00042444706,0.011316335,0.0010823619,0.000062403175,0.0000094054185,0.001230883,0.0035504757,0.00015679182,0.9783823,0.00028645524,0.00014600939],"about_ca_topic_score_codex":0.000015852796,"about_ca_topic_score_gemma":8.531129e-7,"teacher_disagreement_score":0.020954117,"about_ca_system_score_codex":0.000041722535,"about_ca_system_score_gemma":0.00009103279,"threshold_uncertainty_score":0.6205476},"labels":[],"label_agreement":null},{"id":"W4409791154","doi":"10.61091/jcmcc127a-329","title":"Optimization design of double gyro-swing reduction device in complex sea state based on nonlinear dynamic equations","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Swing; Reduction (mathematics); Nonlinear system; Control theory (sociology); State (computer science); Computer science; Control engineering; Mathematics; Engineering; Physics; Mechanical engineering; Algorithm; Artificial intelligence","score_opus":0.018064582101049366,"score_gpt":0.25776243165076285,"score_spread":0.2396978495497135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791154","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20077378,0.000079627425,0.79295886,0.00010148945,0.004806793,0.00043683438,0.0000031747809,0.000047427817,0.00079203147],"genre_scores_gemma":[0.93841577,0.000019475605,0.061418768,0.000008258049,0.00010272081,0.0000022647573,0.000005555684,0.00002404117,0.0000031283273],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982192,0.000074886506,0.0010438431,0.00012502035,0.00034697677,0.00019007856],"domain_scores_gemma":[0.9984013,0.0005729066,0.00044211128,0.00014945299,0.00037332892,0.00006090268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010677901,0.00019222301,0.0004800614,0.00046566306,0.00009597686,0.00009159688,0.00017989153,0.00010341769,0.000005787941],"category_scores_gemma":[0.00019288462,0.00020032625,0.00007503376,0.00057491916,0.000038617676,0.00012463583,0.00003736774,0.00033226315,3.411329e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010261934,0.0002450417,0.000034260473,0.00032633028,0.00003628262,0.0000021175433,0.00039320535,0.9572486,0.0007519988,0.039538138,0.000018786712,0.0013025828],"study_design_scores_gemma":[0.0038752614,0.00024962347,0.00007439205,0.00047995386,0.000045060664,0.0000032163646,0.00012739943,0.9636467,0.00030908705,0.03101711,0.000024142593,0.00014802688],"about_ca_topic_score_codex":0.000008111116,"about_ca_topic_score_gemma":5.373383e-7,"teacher_disagreement_score":0.737642,"about_ca_system_score_codex":0.00014768702,"about_ca_system_score_gemma":0.00011846195,"threshold_uncertainty_score":0.81690675},"labels":[],"label_agreement":null},{"id":"W4409791156","doi":"10.61091/jcmcc127a-351","title":"Sustainable industrial digital transformation based on smart blockchain technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Economic and Technological Systems Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Transformation (genetics); Digital transformation; Computer science; World Wide Web; Computer security; Chemistry","score_opus":0.010104092780507152,"score_gpt":0.20776682925382428,"score_spread":0.19766273647331714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9643696,0.00007348037,0.0056265537,0.0022416993,0.005528367,0.00044339825,0.0000010633906,0.000136698,0.021579158],"genre_scores_gemma":[0.99872106,0.0000014202761,0.00012415284,0.00011565783,0.0009786108,0.0000032440678,0.0000017460196,0.000015507316,0.00003860345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99808025,0.000013707468,0.0010732835,0.00019248974,0.0003115991,0.00032869552],"domain_scores_gemma":[0.9980845,0.00025087365,0.00095721224,0.00020305121,0.00047806674,0.00002631455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011900973,0.00024938327,0.00069747894,0.0010891771,0.00033364852,0.00061247137,0.00040085107,0.00031816872,0.000010181587],"category_scores_gemma":[0.0008145458,0.00021058829,0.00019546304,0.0010677897,0.00008683773,0.0003551847,0.00016178901,0.00050043553,0.000006307392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007979964,0.00034173048,0.0013891775,0.000176997,0.00007601218,0.000013174799,0.000024996827,0.00020458264,0.000013606588,0.99378127,0.0002763157,0.0036223363],"study_design_scores_gemma":[0.0055980776,0.00024421126,0.00004188879,0.00046571693,0.00016483958,0.0000062706604,0.0013195651,0.055781204,0.000106964544,0.919545,0.016434956,0.00029130696],"about_ca_topic_score_codex":0.000028913408,"about_ca_topic_score_gemma":4.0563125e-7,"teacher_disagreement_score":0.074236274,"about_ca_system_score_codex":0.0001100671,"about_ca_system_score_gemma":0.000084466745,"threshold_uncertainty_score":0.85875416},"labels":[],"label_agreement":null},{"id":"W4409791157","doi":"10.61091/jcmcc127a-434","title":"https://combinatorialpress.com/jcmcc-articles/volume-127a/research-on-the-design-of-intelligent-instructional-paths-for-english-grammar-teaching-based-on-ant-colony-algorithm-under-higher-order-cognitive-computing-framework/","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hubei University; Hubei University of Automotive Technology","keywords":"Ant colony optimization algorithms; Computer science; Grammar; Volume (thermodynamics); Order (exchange); Cognition; ANT; College English; Artificial intelligence; Algorithm; Mathematics education; Psychology; Linguistics; Computer network","score_opus":0.040430505582158625,"score_gpt":0.31772798211921177,"score_spread":0.27729747653705317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042789456,0.00034325063,0.9100991,0.0014438588,0.042761587,0.0014068998,0.000008682824,0.00019010896,0.000957043],"genre_scores_gemma":[0.9472622,0.00003129759,0.04855446,0.00028113183,0.0037029148,0.000025114236,0.0000037829382,0.000088828514,0.000050210318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9908565,0.0018625462,0.0025630658,0.0010474615,0.0023194728,0.0013508968],"domain_scores_gemma":[0.9635594,0.02808431,0.0019999614,0.0010007167,0.0049362592,0.00041935014],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01210571,0.0008986868,0.0017072567,0.0011236619,0.0020065566,0.0011533631,0.0026931698,0.0005982595,0.000012250063],"category_scores_gemma":[0.0068405354,0.0007686144,0.0006511096,0.0021554795,0.0006453691,0.00034109774,0.0010762627,0.0033822595,0.000009437662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004227923,0.002265902,0.000066160115,0.00022618228,0.00036492318,0.000023384018,0.0009537937,0.0041160476,0.00003392294,0.93567103,0.0021392521,0.05371662],"study_design_scores_gemma":[0.0044330177,0.0022997132,0.0000582206,0.0025366917,0.00013195323,0.00001432842,0.00037613855,0.37402305,0.0010149704,0.61350393,0.0010842554,0.00052373623],"about_ca_topic_score_codex":0.0000145707045,"about_ca_topic_score_gemma":1.6793929e-7,"teacher_disagreement_score":0.9044728,"about_ca_system_score_codex":0.00034846814,"about_ca_system_score_gemma":0.00094076863,"threshold_uncertainty_score":0.99988353},"labels":[],"label_agreement":null},{"id":"W4409791158","doi":"10.61091/jcmcc127a-443","title":"A Bayesian inference-based model for evaluating the effect of ecological education in the process of study tour activities in national parks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"Bayesian inference; Inference; Process (computing); Bayesian probability; Computer science; Ecology; Machine learning; Management science; Artificial intelligence; Engineering; Biology","score_opus":0.06292612133934371,"score_gpt":0.436320561257754,"score_spread":0.37339443991841026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993662,0.000038462986,0.001470972,0.0002476798,0.0014817994,0.0012094853,0.0000011296769,0.0000029007722,0.0018855525],"genre_scores_gemma":[0.99952453,0.0000018273842,0.00026514582,0.000010879768,0.00015748071,0.000027766408,3.266603e-7,0.0000042407933,0.000007816383],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970828,0.0008958642,0.0007663103,0.00011055397,0.0009755498,0.00016887521],"domain_scores_gemma":[0.9905701,0.008003896,0.00066304795,0.00010287624,0.000633604,0.000026443618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013605151,0.000108898865,0.00043213292,0.00023134047,0.00023504898,0.000097362245,0.00056231266,0.00009079674,0.0000020315058],"category_scores_gemma":[0.0058739614,0.00006985255,0.00008646955,0.00045575143,0.00016047267,0.0001305413,0.00007085148,0.000347803,2.0921103e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006412445,0.002347643,0.043376584,0.00054285396,0.000068512716,0.0000014372854,0.031260587,0.0036027038,0.00004581267,0.91514677,0.00006721573,0.0028986617],"study_design_scores_gemma":[0.0048684287,0.0022667244,0.0011000147,0.00050100876,0.0000505908,4.288336e-7,0.018480642,0.17935573,0.00011406244,0.793158,0.000010096804,0.00009427747],"about_ca_topic_score_codex":0.00006583916,"about_ca_topic_score_gemma":0.000042736396,"teacher_disagreement_score":0.17575301,"about_ca_system_score_codex":0.0001181653,"about_ca_system_score_gemma":0.0023295658,"threshold_uncertainty_score":0.7032105},"labels":[],"label_agreement":null},{"id":"W4409791159","doi":"10.61091/jcmcc127a-337","title":"Using Fuzzy Comprehensive Evaluation Method to Assess the Implementation Effect of College Students’ Mental Health Education in the New Media Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mental health; Fuzzy logic; Psychology; Mathematics education; Medical education; Computer science; Applied psychology; Medicine; Artificial intelligence; Psychiatry","score_opus":0.06341087001351606,"score_gpt":0.47316224593211365,"score_spread":0.40975137591859756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876319,0.0006693107,0.0042436956,0.0017419399,0.003120522,0.0024292355,0.0000034415993,0.0000032095065,0.00015674694],"genre_scores_gemma":[0.99260026,0.000049772687,0.006818541,0.0001484085,0.0003534714,0.000009027764,0.000007284396,0.000009864543,0.0000033495203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960078,0.0010146135,0.0009225662,0.00014722174,0.001685507,0.00022231856],"domain_scores_gemma":[0.99697614,0.0018020562,0.0006029161,0.00019188179,0.0002479468,0.00017903556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00627351,0.00016754089,0.00060672377,0.00022759031,0.00018487137,0.000056596837,0.0002636781,0.0000573592,0.000009273926],"category_scores_gemma":[0.0005503385,0.00009805157,0.00010356112,0.00037373364,0.000041012663,0.00005994825,0.00013628337,0.00031307113,5.151818e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035240867,0.007589225,0.023106894,0.0021494008,0.0017891851,0.000031241703,0.024478285,0.00016005097,0.004997385,0.6285941,0.010357646,0.2932225],"study_design_scores_gemma":[0.0994768,0.017243981,0.051986385,0.0073372256,0.0024091888,0.00033505057,0.03718112,0.009933803,0.009586168,0.7605855,0.0032929755,0.00063182396],"about_ca_topic_score_codex":0.000080710655,"about_ca_topic_score_gemma":0.0000017518713,"teacher_disagreement_score":0.29259065,"about_ca_system_score_codex":0.00042770145,"about_ca_system_score_gemma":0.001363537,"threshold_uncertainty_score":0.39984268},"labels":[],"label_agreement":null},{"id":"W4409791161","doi":"10.61091/jcmcc127a-360","title":"Simulation study of non-electrical contact power supply system for electronic scales based on advanced control algorithm and electromagnetic coupling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Coupling (piping); Electromagnetic simulation; Power (physics); Control (management); Computer science; Electronic engineering; Electrical engineering; Engineering; Mechanical engineering; Physics; Artificial intelligence","score_opus":0.004036692803747387,"score_gpt":0.22928838001213142,"score_spread":0.22525168720838404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9047988,0.00039139105,0.08909311,0.000018730625,0.004282844,0.0012641883,0.0000031289994,0.00007291117,0.00007490506],"genre_scores_gemma":[0.9992245,0.0000046212685,0.00046811713,0.000004652038,0.0002508956,0.00001511649,7.023122e-7,0.000030399086,0.0000010074999],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997932,0.00006037814,0.0011195149,0.0001888068,0.00032366702,0.00037561232],"domain_scores_gemma":[0.9968894,0.0019287218,0.00052868127,0.00017714033,0.00040522427,0.000070813454],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011374493,0.00028563588,0.0010382378,0.0003486528,0.00019052892,0.000070531954,0.00021406036,0.0002717074,4.4130613e-7],"category_scores_gemma":[0.00029110903,0.00026617083,0.00012282569,0.00030895774,0.000031295545,0.000076608725,0.000024285197,0.00052573986,1.2229867e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041372185,0.0038797169,0.0010292095,0.0019036976,0.0020355205,0.00003543432,0.00093330524,0.40200385,0.018782603,0.54177517,0.000067948684,0.023416327],"study_design_scores_gemma":[0.021358669,0.00659748,0.00015638836,0.00052184693,0.00023154166,0.000006349906,0.00035630967,0.959086,0.0009042403,0.010548965,0.000023908871,0.00020829489],"about_ca_topic_score_codex":0.000002959386,"about_ca_topic_score_gemma":2.9999586e-7,"teacher_disagreement_score":0.5570821,"about_ca_system_score_codex":0.00019300877,"about_ca_system_score_gemma":0.00010374314,"threshold_uncertainty_score":0.9999791},"labels":[],"label_agreement":null},{"id":"W4409791162","doi":"10.61091/jcmcc127a-442","title":"A Bayesian network-based analysis of the potential impact of emotion management skills on task completion efficiency improvement","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Task (project management); Bayesian network; Computer science; Bayesian probability; Artificial intelligence; Machine learning; Psychology; Engineering","score_opus":0.012163673554473307,"score_gpt":0.3398547000113232,"score_spread":0.3276910264568499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9569038,0.00008298206,0.031265657,0.000103837825,0.009856865,0.0006967348,0.00000834856,0.000008909792,0.0010728587],"genre_scores_gemma":[0.99908215,0.000008686036,0.0005911923,0.000024918301,0.00025971915,0.0000030617998,0.0000030150109,0.000013141693,0.00001410838],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966787,0.00034810556,0.0014913311,0.00021023523,0.00089984277,0.00037178444],"domain_scores_gemma":[0.99684715,0.00049611507,0.0016676685,0.00043082988,0.0004466634,0.00011158324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002303301,0.00022296785,0.0008603484,0.00056535413,0.00022462715,0.000045968045,0.00048463262,0.0001301573,0.00003651047],"category_scores_gemma":[0.0001162905,0.0001612964,0.00057083374,0.0013865748,0.000119858356,0.00003847578,0.00019465841,0.00039421234,5.054706e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001035034,0.0060184128,0.006495192,0.0010871519,0.004273532,0.000017865523,0.0010543397,0.029658938,0.0007177051,0.94007754,0.00060655136,0.0089577455],"study_design_scores_gemma":[0.0321673,0.012636617,0.1657749,0.004441656,0.004968586,0.000017846878,0.001292738,0.30659658,0.0012934996,0.46979702,0.00017254078,0.00084072445],"about_ca_topic_score_codex":0.000042396357,"about_ca_topic_score_gemma":8.669518e-7,"teacher_disagreement_score":0.4702805,"about_ca_system_score_codex":0.0003265722,"about_ca_system_score_gemma":0.00017115285,"threshold_uncertainty_score":0.6577476},"labels":[],"label_agreement":null},{"id":"W4409791165","doi":"10.61091/jcmcc127a-282","title":"Research on the Review and Processing of Evidence for Public Interest Litigation Based on Computer Vision Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Henan University","keywords":"Public interest; Computer science; Psychology; Computer vision; Political science; Law","score_opus":0.18647543555082438,"score_gpt":0.4589504458002759,"score_spread":0.27247501024945153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87975454,0.009866339,0.017147526,0.084594496,0.0039600385,0.003829377,0.0000035364626,0.000041750936,0.00080237916],"genre_scores_gemma":[0.99744,0.0003573622,0.001727486,0.00021169109,0.00023477389,0.000010128882,8.539814e-7,0.000010811288,0.000006917798],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99797386,0.0001919413,0.00070164393,0.00017745148,0.00070785655,0.00024726885],"domain_scores_gemma":[0.99313873,0.0046177018,0.00041306342,0.0002197122,0.0014672352,0.00014355076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004612981,0.0001400535,0.00059356674,0.0004555023,0.00025150573,0.00008800729,0.0002182848,0.000119284305,0.000003729655],"category_scores_gemma":[0.0067572026,0.00007771597,0.00008782627,0.00063783355,0.00025211598,0.0000708565,0.0001332279,0.00061683485,4.5806263e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070411427,0.00139459,0.0002543057,0.0075774244,0.0001285751,0.000015264019,0.00006814633,0.0000012184782,0.00022701963,0.94055873,0.0016943883,0.04737625],"study_design_scores_gemma":[0.013219682,0.0230854,0.00052193686,0.11935123,0.00047429584,0.000060778555,0.00029202452,0.04145467,0.0029865175,0.79630035,0.002020291,0.00023282073],"about_ca_topic_score_codex":8.7581526e-7,"about_ca_topic_score_gemma":8.709582e-8,"teacher_disagreement_score":0.14425835,"about_ca_system_score_codex":0.00009176732,"about_ca_system_score_gemma":0.00041798395,"threshold_uncertainty_score":0.80894905},"labels":[],"label_agreement":null},{"id":"W4409791167","doi":"10.61091/jcmcc127a-435","title":"Bayesian Network Governance of Electric Vehicle Charging Pile Disordered Charging Load Impacts on the Grid","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grid; Pile; Corporate governance; Electric vehicle; Bayesian network; Environmental science; Computer science; Automotive engineering; Business; Engineering; Geography; Physics; Artificial intelligence; Power (physics); Finance","score_opus":0.0041895896771260936,"score_gpt":0.2023678899359664,"score_spread":0.1981783002588403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9783093,0.002905649,0.0032836949,0.00033078174,0.011991546,0.00033869687,0.000002934557,0.0000643627,0.0027730442],"genre_scores_gemma":[0.9979374,0.0002806935,0.00032007368,0.00004516823,0.0013737303,0.0000016295982,4.7527357e-7,0.0000360696,0.00000476427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977465,0.00007435213,0.0009864825,0.00015235628,0.0005703261,0.0004699267],"domain_scores_gemma":[0.997869,0.0008114412,0.0006766329,0.00025615745,0.00028640576,0.00010035892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011583983,0.00030325283,0.00070488505,0.00010657004,0.0002801624,0.00012970809,0.00045535533,0.00014839284,0.000008912407],"category_scores_gemma":[0.00034764849,0.00023002237,0.00018085525,0.00080893916,0.00004115404,0.00013221653,0.00009402208,0.0007859266,7.840295e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016490059,0.00023485927,0.0005729714,0.0005553523,0.0003638672,0.00001075603,0.00085932564,0.007380587,0.005755704,0.9731594,0.004872388,0.006069891],"study_design_scores_gemma":[0.0054987124,0.0012445025,0.0017074725,0.002595436,0.00020295104,0.000044126034,0.00023970025,0.34232584,0.013881238,0.62947667,0.0021564043,0.0006269425],"about_ca_topic_score_codex":0.000006732391,"about_ca_topic_score_gemma":4.2576735e-7,"teacher_disagreement_score":0.34368274,"about_ca_system_score_codex":0.00019824893,"about_ca_system_score_gemma":0.00015081538,"threshold_uncertainty_score":0.938004},"labels":[],"label_agreement":null},{"id":"W4409791170","doi":"10.61091/jcmcc127a-310","title":"Research on optimizing the brand communication effect of urban image IP design based on fuzzy hierarchical analysis method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Image (mathematics); Computer science; Artificial intelligence; Computer vision; Data mining","score_opus":0.032805816817699285,"score_gpt":0.36618671250592355,"score_spread":0.33338089568822427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791170","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1420161,0.00022909227,0.84434223,0.001345284,0.0047351005,0.0008017032,0.0000015821632,0.00005184462,0.0064770654],"genre_scores_gemma":[0.95165265,0.000010746371,0.04808964,0.00004144191,0.00017881446,0.0000054026546,7.2581184e-7,0.000013863117,0.0000067012697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99498534,0.0020640693,0.0010445955,0.00028811264,0.001255075,0.00036281266],"domain_scores_gemma":[0.9800524,0.017635828,0.0006948821,0.0007867402,0.00068264554,0.00014747257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012566047,0.00026756857,0.0009289987,0.00075398624,0.0005062587,0.0005501328,0.0016499446,0.0001383842,0.0000013310852],"category_scores_gemma":[0.0011630062,0.00017801722,0.0003416757,0.002145763,0.00020326227,0.00024467593,0.00047398757,0.0010121159,0.0000014331567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046264246,0.0007237524,0.000055852626,0.00018248752,0.00040975117,0.000011073008,0.0007392399,0.003079234,0.00022039854,0.9881246,0.00040170155,0.005589243],"study_design_scores_gemma":[0.0049722698,0.0046802885,0.00015626123,0.0012706115,0.00037170795,0.0000071923337,0.00014615589,0.5342426,0.010029742,0.4437638,0.000115143775,0.00024428667],"about_ca_topic_score_codex":0.000005769739,"about_ca_topic_score_gemma":7.4597544e-8,"teacher_disagreement_score":0.8096366,"about_ca_system_score_codex":0.00009181806,"about_ca_system_score_gemma":0.00019712948,"threshold_uncertainty_score":0.72593313},"labels":[],"label_agreement":null},{"id":"W4409791171","doi":"10.61091/jcmcc127a-373","title":"A Knowledge Graph-Based Approach to Analyzing the Construction of Urban Cultural Images and Multi-Level Symbolic Flows in Translanguaging Practice","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Suzhou University","keywords":"Translanguaging; Computer science; Graph; The Symbolic; Sociology; Theoretical computer science; Psychology; Pedagogy","score_opus":0.024890208752791847,"score_gpt":0.28048707353841235,"score_spread":0.2555968647856205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97832185,0.0027657812,0.009914808,0.0002561821,0.004128042,0.000292237,0.000003302569,0.000023100602,0.004294685],"genre_scores_gemma":[0.9891369,0.000012391247,0.010301977,0.000036009274,0.00048119493,0.0000022357247,9.866064e-7,0.00001425924,0.000014098011],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99842596,0.00025038377,0.00075866794,0.00016180852,0.00019902908,0.00020417952],"domain_scores_gemma":[0.99794626,0.00096185383,0.00052711373,0.00012899592,0.00037111467,0.00006467193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017039552,0.00019644335,0.00052945997,0.00038047342,0.0003565813,0.00030868672,0.00021343552,0.00006496919,0.0000031856232],"category_scores_gemma":[0.0007056524,0.000141794,0.00011361841,0.00022456472,0.0001532578,0.00020380535,0.000065709886,0.00055217417,1.8835125e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001090196,0.0006834974,0.00044785163,0.00048383736,0.0001831967,0.000007610569,0.12952025,0.00016528046,0.00028271528,0.8541199,0.0000782742,0.01391855],"study_design_scores_gemma":[0.043389797,0.0019674115,0.0021866446,0.010133294,0.0023395328,0.00040166354,0.60678494,0.14937547,0.0019634953,0.16667338,0.012336143,0.0024482207],"about_ca_topic_score_codex":0.00011174163,"about_ca_topic_score_gemma":0.000008946063,"teacher_disagreement_score":0.68744653,"about_ca_system_score_codex":0.00003600378,"about_ca_system_score_gemma":0.00008092064,"threshold_uncertainty_score":0.5782191},"labels":[],"label_agreement":null},{"id":"W4409791172","doi":"10.61091/jcmcc127a-414","title":"An Empirical Study on the Impact of Machine Learning-based Information Resource Management System on Regional Economic Development Patterns","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hebei University","keywords":"Knowledge management; Empirical research; Business; Computer science; Resource (disambiguation); Process management; Data science","score_opus":0.018751524319163,"score_gpt":0.2759380540348491,"score_spread":0.2571865297156861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943241,0.0000056176045,0.0015732531,0.0005018924,0.0013797029,0.00041214254,9.947403e-7,0.00004850239,0.0017538134],"genre_scores_gemma":[0.9994174,5.81382e-7,0.000113643,0.00013825181,0.00030189843,0.0000056882545,0.0000074859904,0.000013107514,0.0000019322301],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998217,0.0000582144,0.0010363623,0.00013171864,0.00037384505,0.00018285967],"domain_scores_gemma":[0.99785244,0.00034080094,0.0012484764,0.00026244984,0.0002777359,0.000018111246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016378845,0.00022713364,0.00043765968,0.0006708352,0.0004065679,0.00023487986,0.00045615982,0.000095864765,0.000005267075],"category_scores_gemma":[0.00009106185,0.0001581597,0.000121150806,0.00037234448,0.00005227626,0.00025855238,0.00014677944,0.00046083404,0.0000057695797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023684415,0.0016508695,0.03591636,0.00030153635,0.00037979073,0.0000070669225,0.00044119603,0.0029250814,0.000005332164,0.95577794,0.00086831057,0.0014896796],"study_design_scores_gemma":[0.04974643,0.00986725,0.21544105,0.008207577,0.0013581741,0.00004043458,0.04901998,0.39498243,0.0005541784,0.24831344,0.020075344,0.0023937149],"about_ca_topic_score_codex":0.00003996461,"about_ca_topic_score_gemma":9.417624e-7,"teacher_disagreement_score":0.7074645,"about_ca_system_score_codex":0.0001879255,"about_ca_system_score_gemma":0.00008178402,"threshold_uncertainty_score":0.6449565},"labels":[],"label_agreement":null},{"id":"W4409791174","doi":"10.61091/jcmcc127a-402","title":"An integrated care model for service robots in elder care facilities combining sentiment analysis and knowledge-based reasoning: a deep learning framework for long-term care","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Anhui Provincial Quality Engineering Project; Nanjing University; Hefei University of Technology; Hefei University; Beijing Normal University","keywords":"Term (time); Robot; Artificial intelligence; Service (business); Elderly care; Long-term care; Computer science; Knowledge management; Deep learning; Process management; Psychology; Nursing; Business; Medicine; Marketing","score_opus":0.014656835847940645,"score_gpt":0.3079297080308588,"score_spread":0.29327287218291814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791174","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29685315,0.001091843,0.6983623,0.0000507585,0.0029885268,0.0005373758,0.0000056363656,0.000056691704,0.00005375562],"genre_scores_gemma":[0.86548907,0.000009532917,0.13424872,0.000029220957,0.0001437523,0.000030176208,0.000017178689,0.000028513066,0.000003844819],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99730873,0.0001915037,0.0011856467,0.00050360267,0.00035047455,0.0004600521],"domain_scores_gemma":[0.99438715,0.0014192269,0.00086292584,0.00042527274,0.0027176717,0.00018778256],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00069460284,0.0004259968,0.0010439553,0.00080139923,0.00058851414,0.0006469263,0.0008346753,0.0003007276,0.0000011549524],"category_scores_gemma":[0.0003629519,0.00042786504,0.00029567583,0.0011676432,0.000050738247,0.0004647096,0.0003094969,0.00071727287,1.7870919e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046452176,0.0010018967,0.01643898,0.005633579,0.0010412922,0.0000145597005,0.23255521,0.06765008,0.00009219392,0.66133714,0.0000075052003,0.0137630645],"study_design_scores_gemma":[0.0043578213,0.000748667,0.00045703407,0.0018329542,0.00057281845,0.0000058502246,0.028164497,0.8754278,0.0004024664,0.08757065,0.000027190503,0.0004322528],"about_ca_topic_score_codex":0.000055257744,"about_ca_topic_score_gemma":0.00008760796,"teacher_disagreement_score":0.8077777,"about_ca_system_score_codex":0.00039730122,"about_ca_system_score_gemma":0.0004898998,"threshold_uncertainty_score":0.9998173},"labels":[],"label_agreement":null},{"id":"W4409791175","doi":"10.61091/jcmcc127a-426","title":"Diversified Modeling of College Sports Athletics Data and Its Optimization Based on Computational Methods","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.03306407209528766,"score_gpt":0.29654108210953595,"score_spread":0.2634770100142483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791175","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2867807,0.00026976466,0.694687,0.0023560054,0.009668151,0.0005962231,0.00001706161,0.00008871722,0.005536397],"genre_scores_gemma":[0.9522657,0.0000104479295,0.047200553,0.0001608639,0.00032981718,6.716909e-7,0.000014245487,0.000015559513,0.0000021649282],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982733,0.000031357853,0.00092696905,0.00020519573,0.00040057802,0.0001625926],"domain_scores_gemma":[0.99729043,0.00052978157,0.0009648791,0.00025346788,0.0009427313,0.000018722196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018027481,0.00019285825,0.00052096695,0.0006136257,0.00028587377,0.000110585475,0.0004358907,0.00015472196,0.000005780684],"category_scores_gemma":[0.0008140843,0.00018617611,0.000057671863,0.00070410647,0.00008060244,0.0003670556,0.00047713984,0.00031465222,3.0954854e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006944945,0.00034185065,0.0003194733,0.0003186538,0.00005588537,0.000004894783,0.00003761592,0.07308805,0.00002026891,0.9248332,0.00018573056,0.0007249375],"study_design_scores_gemma":[0.0019642352,0.00004908793,0.000030767194,0.00034883074,0.00013781246,0.0000028035479,0.00021569165,0.73286945,0.000020164653,0.26412952,0.00012085926,0.00011080232],"about_ca_topic_score_codex":0.000005461299,"about_ca_topic_score_gemma":1.4111333e-7,"teacher_disagreement_score":0.66548496,"about_ca_system_score_codex":0.000026906022,"about_ca_system_score_gemma":0.00009600694,"threshold_uncertainty_score":0.75920415},"labels":[],"label_agreement":null},{"id":"W4409791176","doi":"10.61091/jcmcc127a-386","title":"Research on Constructing English Speaking Teaching Scenarios Based on AI-Assisted Virtual Technology in Generative Adversarial Networks in the Intelligent+ Era","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"American Indian Graduate Center","keywords":"Adversarial system; Generative grammar; Computer science; Artificial intelligence; Generative adversarial network; Data science; Natural language processing; Multimedia; Linguistics; Deep learning; Philosophy","score_opus":0.03034042105420835,"score_gpt":0.3461569161380984,"score_spread":0.31581649508389004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86186856,0.00016317806,0.10030661,0.005810855,0.02748477,0.000704633,6.582762e-7,0.00008412772,0.0035765956],"genre_scores_gemma":[0.99250233,0.000007996362,0.006355307,0.00023967594,0.00087258074,0.0000069425805,6.938097e-7,0.0000122143465,0.0000022674121],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99636704,0.0009382237,0.0011282383,0.0003811395,0.0006859843,0.0004993738],"domain_scores_gemma":[0.99315625,0.005323517,0.00054843177,0.0004491175,0.00046435065,0.000058305763],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0066615664,0.00026855525,0.0005940115,0.0017658003,0.00053373654,0.00034183904,0.0015009573,0.00040118417,0.0000014915913],"category_scores_gemma":[0.0023941614,0.00021857153,0.00009950346,0.0017751388,0.00023170059,0.00020813786,0.00035751538,0.004025796,6.7639024e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106850595,0.0007619783,0.0011416851,0.00002391315,0.000028579216,0.000044144883,0.0027655566,0.005028376,0.000034084835,0.9808127,0.00006996051,0.009182141],"study_design_scores_gemma":[0.0052577625,0.0017204123,0.00056414184,0.0018811149,0.000021919677,0.000052957683,0.008846483,0.25140527,0.0003974997,0.72908837,0.000419666,0.00034442506],"about_ca_topic_score_codex":0.000010838668,"about_ca_topic_score_gemma":0.0000027958754,"teacher_disagreement_score":0.2517244,"about_ca_system_score_codex":0.00023574829,"about_ca_system_score_gemma":0.0005155322,"threshold_uncertainty_score":0.99827194},"labels":[],"label_agreement":null},{"id":"W4409791178","doi":"10.61091/jcmcc127a-431","title":"Research on Higher Vocational Education Resource Sharing System Incorporating Edge Computing in the Perspective of “Blockchain+Education”","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Perspective (graphical); Vocational education; Enhanced Data Rates for GSM Evolution; Shared resource; Resource (disambiguation); Computer science; Knowledge management; Sociology; Computer security; Pedagogy; Computer network; Artificial intelligence","score_opus":0.040682138733597696,"score_gpt":0.3854637491536326,"score_spread":0.34478161042003486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9369323,0.0008265991,0.0002247878,0.0016582069,0.0046371124,0.0008416641,9.936379e-7,0.000015132803,0.054863192],"genre_scores_gemma":[0.99763006,0.000005880598,0.0009921115,0.00007216414,0.0012181614,0.000007300124,0.000002360764,0.00001594591,0.00005600465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965978,0.0003827641,0.0010748701,0.0002503636,0.0013918276,0.00030234724],"domain_scores_gemma":[0.994726,0.0023435135,0.0006592332,0.0003148602,0.0017902333,0.00016616794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055357525,0.00018532215,0.00059326936,0.00074094057,0.0003298035,0.00010847618,0.00040768774,0.00013874692,0.0000033882275],"category_scores_gemma":[0.0019238786,0.00013393788,0.00011739024,0.0011021169,0.00016217523,0.000051747615,0.00018406323,0.0010373853,0.0000014816271],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022224865,0.002346054,0.0012665901,0.00067554985,0.00010269284,0.0000131751585,0.0015586462,0.000012633208,0.000058421814,0.9891969,0.00053507683,0.004012015],"study_design_scores_gemma":[0.009819164,0.002662861,0.01417237,0.016414594,0.00022030153,0.00016626662,0.050883774,0.005399205,0.0005058996,0.89878184,0.0006860804,0.00028766383],"about_ca_topic_score_codex":0.00008391697,"about_ca_topic_score_gemma":5.8163806e-7,"teacher_disagreement_score":0.090415075,"about_ca_system_score_codex":0.00062120747,"about_ca_system_score_gemma":0.0019310495,"threshold_uncertainty_score":0.5461829},"labels":[],"label_agreement":null},{"id":"W4409791180","doi":"10.61091/jcmcc127a-343","title":"Design of international trade network optimization and regional economic synergy model based on evolutionary algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Evolutionary algorithm; Computer science; Optimization algorithm; Economic model; Economics; Mathematical optimization; Artificial intelligence; Mathematics; Microeconomics","score_opus":0.014212533913018275,"score_gpt":0.23015925448906482,"score_spread":0.21594672057604655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791180","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021139998,0.0001860819,0.96152973,0.00475914,0.010004012,0.0003375418,0.0000028395152,0.000063217674,0.0019774458],"genre_scores_gemma":[0.93534696,0.000033883956,0.06305931,0.00032713515,0.001199824,0.0000027172662,0.0000076242445,0.000018953284,0.000003561601],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986478,0.000020227511,0.0007681078,0.00015243214,0.0002502412,0.00016115488],"domain_scores_gemma":[0.9984155,0.00035703456,0.0008858381,0.00013200218,0.00019437689,0.000015228249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007621872,0.00017565895,0.00039418277,0.00045083134,0.00021330145,0.00011037497,0.00027157678,0.00015090371,0.0000048974475],"category_scores_gemma":[0.00012022528,0.00017207827,0.00007285442,0.0002966515,0.00012332862,0.00030186956,0.00013105328,0.00026174675,3.740809e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058240617,0.00020557127,0.00015553576,0.000050703846,0.00007100379,0.0000017650891,0.000015953305,0.25189248,0.000019063298,0.74490726,0.0016090353,0.0010133992],"study_design_scores_gemma":[0.0016014684,0.000057779,0.000047830596,0.00022687977,0.00005768587,0.000004173978,0.000042334563,0.6919741,0.000014309582,0.30557263,0.00030485465,0.00009594616],"about_ca_topic_score_codex":0.0000079385245,"about_ca_topic_score_gemma":1.2271579e-7,"teacher_disagreement_score":0.914207,"about_ca_system_score_codex":0.00006637839,"about_ca_system_score_gemma":0.00011411929,"threshold_uncertainty_score":0.7017148},"labels":[],"label_agreement":null},{"id":"W4409791181","doi":"10.61091/jcmcc127a-285","title":"Research on green logistics network planning strategy combining machine learning and carbon emission constraints","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Carbon fibers; Computer science; Artificial intelligence; Operations research; Engineering; Algorithm","score_opus":0.04376085620374163,"score_gpt":0.3261970193099379,"score_spread":0.28243616310619624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96987724,0.00054934813,0.0019521263,0.0011522472,0.006515658,0.00033477397,7.820211e-7,0.00011740499,0.019500446],"genre_scores_gemma":[0.9973507,0.000022326252,0.0004974778,0.0001265118,0.0019459757,0.0000018398862,0.000003685222,0.000028477341,0.00002303674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99768835,0.000081816936,0.00096288713,0.00026102722,0.00053725793,0.00046867284],"domain_scores_gemma":[0.99696016,0.0011785394,0.00084243465,0.00017206091,0.00080616423,0.000040650793],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003368475,0.0002812717,0.0006447418,0.00075208745,0.0008987409,0.0004900786,0.00033731724,0.0002797379,0.000005670928],"category_scores_gemma":[0.0006506517,0.00025763715,0.000069688955,0.0010849145,0.00040897392,0.00019814182,0.0005001178,0.0017069236,0.0000012622464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009050591,0.00022228119,0.009659421,0.00026939745,0.000100493824,0.00004310169,0.000091137714,0.00026672264,0.00010848949,0.9839398,0.0004628797,0.004745722],"study_design_scores_gemma":[0.004047942,0.0005305192,0.00045090396,0.0020575523,0.00013930048,0.000032899214,0.0015063194,0.069159925,0.00005927483,0.9187252,0.0029407754,0.000349382],"about_ca_topic_score_codex":0.000096264164,"about_ca_topic_score_gemma":0.0000010643513,"teacher_disagreement_score":0.0688932,"about_ca_system_score_codex":0.000059392078,"about_ca_system_score_gemma":0.00009494255,"threshold_uncertainty_score":0.9999876},"labels":[],"label_agreement":null},{"id":"W4409791182","doi":"10.61091/jcmcc127a-413","title":"Calculation of the Number of Electric Vehicles Carried by Roll-on Roll-off Vessels Based on Fire Dynamics Simulation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dynamics (music); Marine engineering; Aeronautics; Automotive engineering; Engineering; Computer science; Physics; Acoustics","score_opus":0.016402899615266024,"score_gpt":0.3201681484948132,"score_spread":0.30376524887954715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872012,0.00013692139,0.007176386,0.00046338586,0.003762765,0.00022522925,0.000006819456,0.000008546375,0.0010187274],"genre_scores_gemma":[0.9995123,0.000023323268,0.00023401694,0.000029024957,0.00016364842,7.053262e-7,0.0000013022976,0.000013824859,0.000021834201],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99522626,0.00042957178,0.0019875262,0.00024133659,0.0019068364,0.00020844278],"domain_scores_gemma":[0.99034697,0.005330855,0.002499455,0.00047014732,0.0012716905,0.00008089953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034691733,0.00023729212,0.00095058617,0.0003071942,0.00030066154,0.00013142815,0.0007004158,0.0002030258,0.000006836266],"category_scores_gemma":[0.0035522962,0.00016055048,0.00042953235,0.001652251,0.000088167115,0.00013135886,0.00011096157,0.00040251823,0.0000010294145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012948003,0.0022193429,0.011771527,0.00019666654,0.00039544093,0.0000042563624,0.0011410902,0.29269904,0.0020494277,0.6478961,0.0010062149,0.039326087],"study_design_scores_gemma":[0.001955825,0.00023620226,0.000894988,0.00025693118,0.000118007825,0.000001081115,0.00011633796,0.6029765,0.0025748801,0.39067715,0.00009151946,0.00010054598],"about_ca_topic_score_codex":0.000014353145,"about_ca_topic_score_gemma":4.4625122e-7,"teacher_disagreement_score":0.31027746,"about_ca_system_score_codex":0.00012877962,"about_ca_system_score_gemma":0.00022726331,"threshold_uncertainty_score":0.6547058},"labels":[],"label_agreement":null},{"id":"W4409791184","doi":"10.61091/jcmcc127a-428","title":"Innovative Digital Teaching Methods for Children’s Ink Painting Course for Higher Teachers Based on Graphics Algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Course (navigation); Inkwell; Painting; Graphics; Computer science; Computer graphics (images); Mathematics education; Visual arts; Art; Mathematics; Engineering; Speech recognition","score_opus":0.019328258119972817,"score_gpt":0.34235285195416143,"score_spread":0.32302459383418863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791184","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042406477,0.000101024045,0.93831885,0.00072877895,0.016856864,0.00079604244,0.000006936026,0.00008884193,0.0006961899],"genre_scores_gemma":[0.77843857,0.0000019607223,0.22041741,0.0001941235,0.0008755577,0.000016051015,0.0000048069383,0.00003398592,0.000017545779],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99726546,0.00015154225,0.0012205746,0.00039691073,0.00047470958,0.0004907884],"domain_scores_gemma":[0.9929915,0.0044277837,0.001082288,0.0003351575,0.0009869123,0.00017637438],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0041688182,0.00039727453,0.0008557236,0.00034383044,0.0005027531,0.001013221,0.0009294926,0.0001988507,4.038783e-7],"category_scores_gemma":[0.0017581298,0.00034674403,0.00031950418,0.00063584326,0.00009853032,0.0006249582,0.0002757006,0.00064589607,3.224407e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006504539,0.00084685424,0.00018659308,0.00013750652,0.00020031146,0.0000020398575,0.0005251034,0.000030951727,0.000049328028,0.9014773,0.000491252,0.09598772],"study_design_scores_gemma":[0.007912735,0.0023713186,0.00025548055,0.0011239627,0.000113241935,0.000011147199,0.00018547659,0.14108111,0.000788394,0.8419776,0.0036741938,0.00050532754],"about_ca_topic_score_codex":0.0000016148149,"about_ca_topic_score_gemma":2.0236971e-8,"teacher_disagreement_score":0.73603207,"about_ca_system_score_codex":0.00010464858,"about_ca_system_score_gemma":0.00031025847,"threshold_uncertainty_score":0.99989843},"labels":[],"label_agreement":null},{"id":"W4409791189","doi":"10.61091/jcmcc127a-287","title":"Curriculum Design and Learning Path in Grassland Ecological Study Tour Based on Support Vector Machine and Decision Tree Optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grassland; Curriculum; Decision tree; Support vector machine; Path (computing); Tree (set theory); Computer science; Ecology; Machine learning; Artificial intelligence; Sociology; Mathematics; Biology; Pedagogy","score_opus":0.014839155217778493,"score_gpt":0.289597438326148,"score_spread":0.27475828310836947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76471114,0.00010206045,0.23163475,0.00026521712,0.0028610907,0.00030103404,1.7762238e-7,0.000028348135,0.0000961865],"genre_scores_gemma":[0.9492153,0.000025189243,0.050619435,0.00002495923,0.000100629375,0.0000036444037,5.4637013e-7,0.000007692748,0.0000025829033],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998201,0.0002885988,0.0006930774,0.0002803919,0.00032887282,0.00020801881],"domain_scores_gemma":[0.9971829,0.0019239562,0.00043524787,0.00016258925,0.00020551679,0.000089794754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002559552,0.00020698788,0.00050811504,0.00041037603,0.00028843796,0.00020654005,0.00034180642,0.0001674607,0.0000025627066],"category_scores_gemma":[0.000924727,0.00017210361,0.000043262546,0.00041792067,0.000054199983,0.00016530039,0.0002356014,0.00064471544,2.7747998e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032845285,0.005769277,0.104944274,0.00014071057,0.000096071526,0.0001325171,0.001758389,0.02549596,0.000026833142,0.8463352,0.0002026493,0.014769719],"study_design_scores_gemma":[0.005923524,0.0038478344,0.012447672,0.0002460696,0.000039211238,0.000042225587,0.00038664255,0.7727293,0.000014280825,0.20407674,0.000039137725,0.00020741676],"about_ca_topic_score_codex":0.000008438259,"about_ca_topic_score_gemma":0.0000015183201,"teacher_disagreement_score":0.7472333,"about_ca_system_score_codex":0.000058751495,"about_ca_system_score_gemma":0.0001659425,"threshold_uncertainty_score":0.7018181},"labels":[],"label_agreement":null},{"id":"W4409791192","doi":"10.61091/jcmcc127a-370","title":"Graphic Design Application Based on Artificial Intelligence Image Recognition System","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Image (mathematics); Computer vision; Pattern recognition (psychology)","score_opus":0.02932974110909232,"score_gpt":0.2800902310779459,"score_spread":0.2507604899688536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791192","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027588619,0.000041610507,0.9601046,0.00025351712,0.010218874,0.00036124644,8.560088e-7,0.00009279575,0.0013378867],"genre_scores_gemma":[0.9628385,0.000005254699,0.036696177,0.000041431293,0.0003965713,0.0000065450454,9.539107e-7,0.000013390891,0.0000011934719],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976326,0.0001525373,0.0010580386,0.00028377734,0.0006006888,0.00027235414],"domain_scores_gemma":[0.99704534,0.0011092405,0.000752582,0.00032834103,0.00061701075,0.00014751554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018512794,0.0002490111,0.00050740544,0.0003599183,0.0002515255,0.00052938756,0.00070650567,0.00012780857,7.16477e-7],"category_scores_gemma":[0.00030530308,0.00022310413,0.00015161783,0.00078490813,0.00007072711,0.00038898888,0.00015696326,0.0003486013,0.000009949852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007491429,0.0005658458,0.000005748016,0.00023731083,0.000035228662,0.00001569979,0.00015759935,0.00011468289,0.00043733892,0.95297897,0.000046603825,0.045330048],"study_design_scores_gemma":[0.00062222924,0.00080027623,0.000011511001,0.00096404966,0.000041804404,0.00001776708,0.00018021546,0.28092203,0.008844932,0.70735,0.000049132697,0.00019601682],"about_ca_topic_score_codex":0.0000018050666,"about_ca_topic_score_gemma":3.711861e-8,"teacher_disagreement_score":0.93524987,"about_ca_system_score_codex":0.00010572673,"about_ca_system_score_gemma":0.00018387,"threshold_uncertainty_score":0.90979224},"labels":[],"label_agreement":null},{"id":"W4409791198","doi":"10.61091/jcmcc127a-315","title":"Athlete performance prediction based on time series analysis and implications for physical education and training strategies","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Time series; Physical education; Series (stratigraphy); Computer science; Machine learning; Artificial intelligence; Psychology; Mathematics education; Geography","score_opus":0.015975135130106653,"score_gpt":0.24932529371485765,"score_spread":0.233350158584751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838372,0.00029945018,0.011880863,0.00036670757,0.0017864129,0.00020205953,0.000024165805,0.000013463067,0.0015897184],"genre_scores_gemma":[0.9976863,0.00008949453,0.0017486206,0.00003186831,0.00039369156,0.000005731365,0.0000066353496,0.000010758191,0.000026865064],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989355,0.000009381713,0.0006545754,0.0001907698,0.000059269092,0.00015050369],"domain_scores_gemma":[0.9987465,0.00022886605,0.00064303016,0.00013590058,0.00017545624,0.00007022402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007473117,0.00015268807,0.00057039293,0.00040349385,0.00028571588,0.00026664502,0.000101189,0.000074600575,0.0000023316127],"category_scores_gemma":[0.00009963342,0.00015234978,0.00010723954,0.0003499516,0.00006402672,0.00027064176,0.00003429858,0.00015243625,3.3148356e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058857913,0.00023550654,0.0073459377,0.0001731396,0.00018247527,1.2551892e-7,0.0007368947,0.0005378662,0.000032530374,0.98763573,0.00005166147,0.0030092949],"study_design_scores_gemma":[0.0015640104,0.00080383103,0.022063639,0.00019853475,0.00027080235,0.000005676185,0.00031802297,0.3355964,0.000038564627,0.6374307,0.001510153,0.00019964536],"about_ca_topic_score_codex":0.0000041501444,"about_ca_topic_score_gemma":2.5837213e-7,"teacher_disagreement_score":0.350205,"about_ca_system_score_codex":0.00004101499,"about_ca_system_score_gemma":0.00009952391,"threshold_uncertainty_score":0.62126434},"labels":[],"label_agreement":null},{"id":"W4409791202","doi":"10.61091/jcmcc127a-305","title":"Research on pattern recognition and spatial prediction method of lightning activity distribution based on cluster analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lightning (connector); Cluster (spacecraft); Spatial distribution; Pattern recognition (psychology); Distribution (mathematics); Artificial intelligence; Computer science; Geography; Data mining; Remote sensing; Mathematics; Physics","score_opus":0.05018250660552361,"score_gpt":0.3713874661346469,"score_spread":0.3212049595291233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791202","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47334865,0.000004802282,0.52343863,0.00017568794,0.0020938027,0.00018572889,0.000007225233,0.000008235371,0.0007372097],"genre_scores_gemma":[0.99007076,0.0000058356286,0.009663912,0.00003152831,0.00020782699,0.0000026547202,0.0000047882445,0.000009221693,0.0000034979394],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967968,0.0010421288,0.00071729784,0.00024676137,0.0009990849,0.00019793787],"domain_scores_gemma":[0.99583274,0.0029410857,0.0006808934,0.00020674364,0.00025394952,0.000084567924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008657545,0.00016131437,0.00049872254,0.00034320913,0.00027575652,0.00008724801,0.0001731504,0.00019475816,0.000029505456],"category_scores_gemma":[0.0011992813,0.00014456881,0.00012858586,0.0008199396,0.0001042027,0.00010669921,0.00017385725,0.0006383775,0.0000014858522],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003489304,0.0071902247,0.033209726,0.001135097,0.0016705258,0.00002264913,0.0040814737,0.04272539,0.007985522,0.06416152,0.0021100282,0.8322185],"study_design_scores_gemma":[0.004283792,0.0022282032,0.016876874,0.0006225762,0.0006041333,0.000005401663,0.00016251227,0.68814987,0.010456529,0.27629992,0.00009161496,0.00021858716],"about_ca_topic_score_codex":0.00011427914,"about_ca_topic_score_gemma":0.0000040454997,"teacher_disagreement_score":0.83199996,"about_ca_system_score_codex":0.00021433082,"about_ca_system_score_gemma":0.000048556078,"threshold_uncertainty_score":0.5895345},"labels":[],"label_agreement":null},{"id":"W4409791205","doi":"10.61091/jcmcc127a-281","title":"Optimization Modeling Research on Multi-Objective Resource Allocation for AI-Enabled Innovation and Entrepreneurship Education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Resource allocation; Entrepreneurship education; Resource (disambiguation); Knowledge management; Business; Computer science","score_opus":0.0358237667142622,"score_gpt":0.32592283310363984,"score_spread":0.29009906638937766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5424231,0.00021420841,0.43937817,0.001957414,0.012073767,0.0014851443,0.0000012977781,0.0000692695,0.002397605],"genre_scores_gemma":[0.9942332,0.000008723142,0.0037384653,0.00022781051,0.0017164282,0.000017811653,0.000009555172,0.000024163703,0.00002383429],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981716,0.00006681057,0.00086173817,0.00024637597,0.00044475438,0.00020869839],"domain_scores_gemma":[0.9947359,0.0006385519,0.00071492436,0.00016567211,0.003724665,0.000020276746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026291332,0.00018140419,0.00034001452,0.001144142,0.0005294559,0.0007519515,0.00019789621,0.00012704029,0.0000021634096],"category_scores_gemma":[0.0027116118,0.00017992558,0.000048052334,0.0013620856,0.000047771795,0.00058809755,0.00015387312,0.0003422238,6.9277127e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027109173,0.000528965,0.00026903246,0.00036923712,0.000042472813,4.095982e-7,0.00026552912,0.029048815,0.00015178103,0.9659706,0.0007415883,0.0023404867],"study_design_scores_gemma":[0.002943546,0.000118652555,0.000032989625,0.0007160683,0.00006577292,0.0000018049444,0.0012129125,0.5694664,0.00016335672,0.42409563,0.001030168,0.00015268855],"about_ca_topic_score_codex":0.000016235243,"about_ca_topic_score_gemma":7.9147566e-7,"teacher_disagreement_score":0.54187495,"about_ca_system_score_codex":0.0001382395,"about_ca_system_score_gemma":0.00024218601,"threshold_uncertainty_score":0.73371524},"labels":[],"label_agreement":null},{"id":"W4409791216","doi":"10.61091/jcmcc127a-349","title":"Research on Lanzhou Taiping Drum Digital Non-Genetic Inheritance and Cultural Ecological Reconstruction Path Based on Computational Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"North Minzu University","keywords":"Inheritance (genetic algorithm); Path (computing); Drum; Computer science; Ecology; Genetic algorithm; Artificial intelligence; Geography; Biology; Archaeology; Machine learning; Computer network; Gene","score_opus":0.026631438324775786,"score_gpt":0.28420677558190466,"score_spread":0.2575753372571289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981198,0.000045623005,0.004112461,0.0011221123,0.003787921,0.000316172,0.0000015476628,0.000052831838,0.009363311],"genre_scores_gemma":[0.9952519,0.0000055799132,0.0035494019,0.00022729713,0.0009335759,0.0000050151834,0.0000052946257,0.000016298547,0.0000056149706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99812746,0.00003746161,0.0007712933,0.00026001834,0.0005069489,0.00029682583],"domain_scores_gemma":[0.99775356,0.00067002396,0.0005648984,0.0001574563,0.0008263892,0.00002768363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011988183,0.00022438272,0.00046978166,0.0006700032,0.00062118773,0.0006726772,0.00028623236,0.00020852528,0.0000032907558],"category_scores_gemma":[0.00055781374,0.00018943592,0.0000976326,0.0008802046,0.00027671698,0.0003734619,0.00020490863,0.000822644,0.0000038991543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104621766,0.0007934813,0.0038796803,0.00034172685,0.00005475203,0.000011146539,0.000054360167,0.0007476444,0.000029166493,0.98867875,0.00076742267,0.0045372387],"study_design_scores_gemma":[0.0048979577,0.00051785813,0.0074983863,0.0014072928,0.00007016092,0.000036371686,0.0016810803,0.13907951,0.000023478357,0.84389496,0.0005462918,0.00034667333],"about_ca_topic_score_codex":0.000005662379,"about_ca_topic_score_gemma":2.10481e-7,"teacher_disagreement_score":0.14478382,"about_ca_system_score_codex":0.00008123555,"about_ca_system_score_gemma":0.000076519595,"threshold_uncertainty_score":0.77249724},"labels":[],"label_agreement":null},{"id":"W4409791219","doi":"10.61091/jcmcc127a-444","title":"Calculation and Analysis of Carbon Emission of Ultra-low Energy Consumption Residential Buildings in Frigid Regions Based on the Emission Factor Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Carbon fibers; Environmental science; Energy consumption; Consumption (sociology); Aggregation-induced emission; Engineering physics; Materials science; Engineering; Physics; Electrical engineering; Composite material; Optics","score_opus":0.018194679033120203,"score_gpt":0.26706246153229835,"score_spread":0.24886778249917815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948577,0.00011335614,0.0027350746,0.00027022138,0.0010655159,0.00014641909,8.614686e-7,0.0000048939,0.00080591376],"genre_scores_gemma":[0.9992881,0.0001743138,0.0004171325,0.000009754304,0.00008906773,0.0000012309553,0.0000016728827,0.0000059755016,0.000012744173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99799937,0.00024618322,0.0007875981,0.00014532392,0.0006730204,0.00014849515],"domain_scores_gemma":[0.99786705,0.0009608532,0.0008298947,0.000119410535,0.00015022763,0.0000725408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014554604,0.00013555917,0.00050421373,0.00045330237,0.000214987,0.000048171372,0.00018411166,0.0001468597,0.0000033828037],"category_scores_gemma":[0.0004074818,0.000102565085,0.00012874001,0.00061570056,0.00016814235,0.00006684733,0.000046704914,0.00018199117,1.5456076e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034003635,0.0009196525,0.041531883,0.0002835789,0.0003776964,0.0000032293344,0.0066621215,0.0010954256,0.00831383,0.93915886,0.00011589243,0.0011977801],"study_design_scores_gemma":[0.012349091,0.0009021815,0.09844819,0.0062872306,0.0017438171,0.0000046626524,0.0048645465,0.21324132,0.02915916,0.63100755,0.00093981536,0.0010524316],"about_ca_topic_score_codex":0.00013766835,"about_ca_topic_score_gemma":0.000002290992,"teacher_disagreement_score":0.30815133,"about_ca_system_score_codex":0.00011121448,"about_ca_system_score_gemma":0.00014117686,"threshold_uncertainty_score":0.4182483},"labels":[],"label_agreement":null},{"id":"W4409791222","doi":"10.61091/jcmcc127a-375","title":"Collaborative Filtering Algorithm Based Financial Data Analysis and Investment Decision Support Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Decision support system; Computer science; Finance; Investment analysis; Investment (military); Data mining; Algorithm; Business; Financial risk; Political science","score_opus":0.058507124919556994,"score_gpt":0.3757922712129434,"score_spread":0.3172851462933864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20362477,0.0002109603,0.7863505,0.00011514167,0.0088169295,0.0002503531,0.00002123665,0.000020194515,0.0005899348],"genre_scores_gemma":[0.56526077,0.000015311847,0.43410072,0.00009788499,0.0004893502,0.0000018166323,0.0000049255023,0.000018851146,0.000010401566],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99421895,0.00051888765,0.002456113,0.0006411631,0.0017903523,0.00037456487],"domain_scores_gemma":[0.9877506,0.0077940873,0.001575902,0.0009244285,0.0016949296,0.00026007407],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.016369617,0.00036169277,0.0014687703,0.0013465963,0.0005070703,0.00087391556,0.0013918374,0.00020688893,0.000017963503],"category_scores_gemma":[0.019139241,0.000295098,0.00021265083,0.0030302063,0.0001303224,0.00044903168,0.0014017124,0.0005056478,9.020249e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010265183,0.0014643668,0.0030693822,0.00024201437,0.0016643794,0.00015627372,0.0028657014,0.008160293,0.00040012575,0.4644384,0.0038452717,0.51266724],"study_design_scores_gemma":[0.0020104973,0.00022409594,0.00020822906,0.00017671257,0.0003729973,0.0000118284,0.00022102996,0.5336224,0.000108289496,0.46225193,0.0006186777,0.00017332638],"about_ca_topic_score_codex":0.000012097743,"about_ca_topic_score_gemma":0.000002149601,"teacher_disagreement_score":0.5254621,"about_ca_system_score_codex":0.000107431944,"about_ca_system_score_gemma":0.00072419684,"threshold_uncertainty_score":0.9999501},"labels":[],"label_agreement":null},{"id":"W4409791233","doi":"10.61091/jcmcc127a-271","title":"Evaluating the Quantitative Effectiveness of Cultural Nurturing Background Music Therapy on College Students’ Mental Health in a Machine Learning Framework","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Music Therapy and Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mental health; Music therapy; Psychology; Medical education; Applied psychology; Psychotherapist; Medicine","score_opus":0.07584780444222428,"score_gpt":0.4419899472648735,"score_spread":0.36614214282264923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98182964,0.002112902,0.0007254287,0.0003481568,0.013767173,0.00086014316,0.0000046647965,0.000014647272,0.00033722684],"genre_scores_gemma":[0.9980796,0.00014350472,0.0012749475,0.0001316721,0.00032704082,0.0000073201513,0.0000017969903,0.00002499647,0.000009148443],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955252,0.0018624038,0.0013466218,0.00025632302,0.00063199736,0.00037746935],"domain_scores_gemma":[0.99326533,0.00471909,0.0014303355,0.00022799322,0.00026959222,0.00008763553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008526158,0.0002928447,0.0010344314,0.00026632356,0.0005094381,0.00009405245,0.0004880469,0.00015725114,0.00002033212],"category_scores_gemma":[0.00038995172,0.00020758249,0.0001751797,0.00057881925,0.00012154894,0.00009039575,0.00013562372,0.001224367,0.0000010114165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002990306,0.0015172263,0.001260274,0.00029693262,0.00032526033,0.0000054439492,0.024656415,0.0001536174,0.00022897209,0.9656135,0.00006228962,0.0028897699],"study_design_scores_gemma":[0.03498135,0.017524287,0.01639188,0.009869068,0.00008501516,0.000054916185,0.02207463,0.0052791103,0.00027974587,0.8923474,0.0005546836,0.0005578881],"about_ca_topic_score_codex":0.00011147224,"about_ca_topic_score_gemma":0.0000029549935,"teacher_disagreement_score":0.07326607,"about_ca_system_score_codex":0.00024137514,"about_ca_system_score_gemma":0.00020892048,"threshold_uncertainty_score":0.8464968},"labels":[],"label_agreement":null},{"id":"W4409791242","doi":"10.61091/jcmcc127a-390","title":"Computational methods for physiological signal data of heart failure patients and their predictive model design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Heilongjiang University","keywords":"Computer science; Heart failure; Reliability engineering; Cardiology; Medicine; Engineering","score_opus":0.028058042031473884,"score_gpt":0.2965265695186075,"score_spread":0.2684685274871336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791242","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09409136,0.00029134692,0.90194577,0.000042569096,0.003113631,0.00042571503,0.000019164629,0.00003369455,0.0000367738],"genre_scores_gemma":[0.9080488,0.0000066620246,0.09170751,0.0000111771005,0.00020053856,0.0000038838716,0.000004321929,0.00001618126,9.2643967e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985083,0.00013562862,0.000833101,0.00016652461,0.00018398775,0.00017248816],"domain_scores_gemma":[0.99765766,0.0013306474,0.00033670868,0.00015227785,0.00044164938,0.000081034465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013561058,0.00020754238,0.00071637466,0.00013508853,0.00012791787,0.000068813206,0.00028058767,0.00014231478,7.2193103e-7],"category_scores_gemma":[0.0002968261,0.00016622656,0.000096629075,0.00015055266,0.00006433359,0.00014497287,0.00014447751,0.00024158518,6.9068236e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013273932,0.0018910113,0.00023301026,0.0027977484,0.0022480867,0.0000013449848,0.0030013465,0.4943535,0.020965938,0.44132343,0.01085791,0.020999286],"study_design_scores_gemma":[0.0027758486,0.00039012133,0.000028498413,0.00015077312,0.000052351195,0.000003739874,0.0001255393,0.7301265,0.00066714967,0.2654271,0.00015162943,0.00010072432],"about_ca_topic_score_codex":8.322445e-7,"about_ca_topic_score_gemma":3.777556e-8,"teacher_disagreement_score":0.81395745,"about_ca_system_score_codex":0.00003890469,"about_ca_system_score_gemma":0.000074267824,"threshold_uncertainty_score":0.6778522},"labels":[],"label_agreement":null},{"id":"W4409791252","doi":"10.61091/jcmcc127a-448","title":"Deep Learning-based Classification and Prediction Modeling for Big Data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Big data; Computer science; Deep learning; Machine learning; Data mining","score_opus":0.04799112065021306,"score_gpt":0.28720321679779676,"score_spread":0.2392120961475837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038604613,0.00034551427,0.9523775,0.00062485307,0.007622462,0.00028596117,0.0000015061842,0.000047555277,0.000090043744],"genre_scores_gemma":[0.9774981,0.000051378483,0.021354329,0.00003521097,0.0010359047,0.0000048823067,0.0000052743176,0.000011247388,0.0000036546057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984618,0.00006123299,0.0007281738,0.0002889593,0.00026475516,0.00019507833],"domain_scores_gemma":[0.9978467,0.0006984346,0.0005354167,0.00039312887,0.00043208196,0.00009421192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012805131,0.00016147742,0.00035459403,0.00016130648,0.00043065462,0.0003745086,0.00071242475,0.00010608906,1.444275e-7],"category_scores_gemma":[0.00032733896,0.00014794558,0.00006185359,0.00032667225,0.00003954822,0.00027624838,0.0003457911,0.00030521097,1.5852936e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035228306,0.00024131255,0.00012881578,0.00016596394,0.000051649702,9.797448e-7,0.00015804452,0.0061989767,0.00030797545,0.9644339,0.00020875309,0.028068397],"study_design_scores_gemma":[0.0014347396,0.00016386798,0.000039679373,0.00013013292,0.00004391628,0.0000064817004,0.000045972913,0.7160111,0.00003814496,0.281078,0.0009218965,0.00008606301],"about_ca_topic_score_codex":0.000002331276,"about_ca_topic_score_gemma":2.763228e-7,"teacher_disagreement_score":0.9388935,"about_ca_system_score_codex":0.00003637829,"about_ca_system_score_gemma":0.00011579486,"threshold_uncertainty_score":0.60330456},"labels":[],"label_agreement":null},{"id":"W4409791323","doi":"10.61091/jcmcc127a-400","title":"Deep reinforcement learning-based heterogeneous graph neural networks for multi-task financial fraud detection: a new framework incorporating variational self-encoders","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Computer science; Encoder; Task (project management); Artificial intelligence; Graph; Artificial neural network; Machine learning; Theoretical computer science; Management","score_opus":0.014118360666004817,"score_gpt":0.2610091801802655,"score_spread":0.24689081951426067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791323","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015059964,0.00015938336,0.98691034,0.00027039705,0.010367706,0.0005621215,5.1713084e-7,0.00020476617,0.000018793222],"genre_scores_gemma":[0.7070073,0.0000075682497,0.2920541,0.00013067985,0.00076001836,0.000013241882,0.000004276836,0.00001961876,0.0000032102969],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969766,0.00016328559,0.0014559143,0.00039571375,0.0005930792,0.00041539824],"domain_scores_gemma":[0.9957847,0.0010655671,0.0018485483,0.000404911,0.000697344,0.00019895234],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015089759,0.00036601952,0.0006702509,0.00039137623,0.0007014597,0.0005690509,0.0009688158,0.00033319046,0.0000011103912],"category_scores_gemma":[0.0014700688,0.00036857426,0.00026463636,0.00079556037,0.00006130295,0.00040922398,0.00030005933,0.0008292134,3.534663e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013464395,0.0004905681,0.00009749186,0.00017286607,0.00014554188,0.000009966915,0.0005938976,0.18635301,0.00010205193,0.80485636,0.00019428668,0.0068493015],"study_design_scores_gemma":[0.002478457,0.00057949475,0.000027192491,0.00018162305,0.000053107444,0.00001693303,0.000018860683,0.71680546,0.00055337383,0.27877682,0.00027568045,0.00023297236],"about_ca_topic_score_codex":0.0000065916993,"about_ca_topic_score_gemma":8.7512643e-7,"teacher_disagreement_score":0.7055013,"about_ca_system_score_codex":0.00021012372,"about_ca_system_score_gemma":0.0004963848,"threshold_uncertainty_score":0.9998766},"labels":[],"label_agreement":null},{"id":"W4409791325","doi":"10.61091/jcmcc127a-345","title":"Decision-making on price and after-sales service of new energy vehicle supply chain under different sales modes based on game theory models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Supply chain; Game theory; Service (business); Business; Marketing; Industrial organization; Microeconomics; Economics","score_opus":0.006149038092712999,"score_gpt":0.21758947797848782,"score_spread":0.21144043988577482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89279103,0.0008083709,0.103252724,0.00008886724,0.002497515,0.0001312641,0.0000033494591,0.000040769246,0.00038609383],"genre_scores_gemma":[0.9976087,0.00008175063,0.0018039336,0.00011085217,0.00034869686,0.0000015562308,9.065182e-7,0.000040491497,0.000003090127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981502,0.00007927379,0.0008173297,0.00018961554,0.00047936203,0.00028417565],"domain_scores_gemma":[0.99738824,0.0016880017,0.0003538459,0.00022600783,0.00021183878,0.00013206985],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047620916,0.00033526155,0.000711397,0.00031002844,0.00010111374,0.00012403271,0.00027679783,0.0001919658,0.0000032220144],"category_scores_gemma":[0.00010620842,0.0002764123,0.00012315084,0.00032933283,0.00003841344,0.00012088934,0.000102732025,0.00041326325,2.1948138e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005436028,0.00025140363,0.00009444133,0.00038041134,0.00014248713,0.0000080369755,0.00048031364,0.10662729,0.0005433861,0.880423,0.000100163044,0.010405477],"study_design_scores_gemma":[0.0017939198,0.0003172844,0.0003565299,0.0014130804,0.000051271945,0.0000054703055,0.00009339586,0.4163762,0.00082661817,0.57859325,0.000018041115,0.00015495442],"about_ca_topic_score_codex":0.0000038315566,"about_ca_topic_score_gemma":0.0000011224992,"teacher_disagreement_score":0.30974892,"about_ca_system_score_codex":0.00010104525,"about_ca_system_score_gemma":0.000093585055,"threshold_uncertainty_score":0.9999688},"labels":[],"label_agreement":null},{"id":"W4409791330","doi":"10.61091/jcmcc127a-268","title":"A Quantitative Study of Multiple Regression Modeling in the Improvement of College English Vocabulary Learning Efficiency","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocabulary; Regression analysis; Computer science; Vocabulary learning; Regression; Natural language processing; English vocabulary; Mathematics education; Artificial intelligence; Statistics; Psychology; Machine learning; Linguistics; Mathematics","score_opus":0.020942340073137364,"score_gpt":0.30469286478594987,"score_spread":0.2837505247128125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9617969,0.0001879701,0.03362937,0.00011941676,0.00374294,0.000369922,3.6480802e-7,0.000011916573,0.00014123163],"genre_scores_gemma":[0.99449724,0.0000124318485,0.005404352,0.0000061452465,0.00006904666,0.0000040331565,1.8870921e-7,0.0000052039804,0.00000137347],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99771786,0.00021077188,0.0011643848,0.00017693125,0.0005598991,0.00017015322],"domain_scores_gemma":[0.9965297,0.0014570565,0.0010172817,0.00025445304,0.00071210065,0.000029407329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002860773,0.00015791357,0.0005372005,0.00034852154,0.00018600682,0.00004658103,0.00086145656,0.00008944761,2.945007e-7],"category_scores_gemma":[0.0010247782,0.000113714545,0.00008335839,0.0007725921,0.000055306926,0.00016529395,0.000334881,0.0005206492,4.6187864e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006599985,0.003699812,0.001967392,0.0001581037,0.00007574292,0.00000775558,0.015438665,0.0019132873,0.0007981274,0.97494596,0.00001467773,0.0009144887],"study_design_scores_gemma":[0.006823338,0.0047659148,0.0004410923,0.0013033458,0.00007071763,0.000008239538,0.04551963,0.4387646,0.0018310321,0.50026006,0.000013291948,0.00019872602],"about_ca_topic_score_codex":0.00001576501,"about_ca_topic_score_gemma":8.879291e-7,"teacher_disagreement_score":0.47468588,"about_ca_system_score_codex":0.00005007571,"about_ca_system_score_gemma":0.00022679695,"threshold_uncertainty_score":0.46371445},"labels":[],"label_agreement":null},{"id":"W4409791337","doi":"10.61091/jcmcc127a-430","title":"Research on the application of fusion of image recognition technology and sentiment analysis algorithms for psychological intervention","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Computer science; Intervention (counseling); Artificial intelligence; Image fusion; Sentiment analysis; Fusion; Psychology; Algorithm; Pattern recognition (psychology); Psychiatry; Linguistics","score_opus":0.05897015284368523,"score_gpt":0.4117091606679053,"score_spread":0.3527390078242201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69270027,0.0001358763,0.30404854,0.0013571652,0.0013239426,0.00029199084,0.0000016419723,0.000011728553,0.00012882412],"genre_scores_gemma":[0.98213166,0.000025950001,0.017732117,0.000009451006,0.00008255224,0.0000101809155,0.0000011620605,0.0000035846167,0.0000033464978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984682,0.00015109725,0.0007513578,0.00018655641,0.00030565792,0.00013708635],"domain_scores_gemma":[0.99636924,0.0015305115,0.0007520513,0.00026417428,0.0010558119,0.000028181985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034037502,0.000100559606,0.00039267802,0.0009820745,0.00019132167,0.000043654563,0.000486118,0.00017151216,0.0000015910219],"category_scores_gemma":[0.0004685644,0.00007475067,0.00013021457,0.0014793009,0.00020947677,0.00007771798,0.00023342509,0.00033425295,2.6424865e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000508017,0.0007075572,0.00017146222,0.000095074654,0.00016081,3.4961423e-7,0.00020815253,0.000004279724,0.0017215941,0.9749359,0.000053220818,0.021890784],"study_design_scores_gemma":[0.0011497415,0.0009502546,0.0005781753,0.00019250555,0.000095744006,0.000007348327,0.00054465595,0.010978348,0.009669692,0.9756957,0.00007523693,0.00006258344],"about_ca_topic_score_codex":0.000003914507,"about_ca_topic_score_gemma":2.063938e-7,"teacher_disagreement_score":0.28943136,"about_ca_system_score_codex":0.000031404146,"about_ca_system_score_gemma":0.00004325885,"threshold_uncertainty_score":0.30482438},"labels":[],"label_agreement":null},{"id":"W4409791338","doi":"10.61091/jcmcc127a-465","title":"Lightweight Improved YOLOv8-based Multi-Vehicle Steering Trajectory Tracking Algorithm for Tunnel Scenes","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Trajectory; Tracking (education); Computer science; Computer vision; Artificial intelligence; Algorithm; Psychology; Physics","score_opus":0.018374266572901827,"score_gpt":0.2659155616948159,"score_spread":0.24754129512191406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791338","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19949181,0.0005313247,0.78950214,0.000058796435,0.00967013,0.00045881278,0.000005243547,0.00016021277,0.00012154334],"genre_scores_gemma":[0.9237398,0.000016026695,0.07552011,0.000023734068,0.0006324043,0.000010929165,0.0000025320267,0.000046917743,0.0000075377125],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828845,0.000029760764,0.00097373733,0.00017959002,0.0002291788,0.0002993031],"domain_scores_gemma":[0.99818546,0.0006499857,0.00032056816,0.00019795707,0.00052099244,0.00012502962],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007528777,0.00026860327,0.0005658232,0.00027140643,0.00027338543,0.00018209353,0.0002734819,0.00017974005,0.0000018840251],"category_scores_gemma":[0.00015164561,0.00026648288,0.00020427683,0.00027162954,0.00003903822,0.00013554421,0.000043093303,0.00032976863,5.388208e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030671258,0.0036792685,0.0004190408,0.004036984,0.0016103686,0.000018069231,0.0044750352,0.16770901,0.08766402,0.49756294,0.0010984811,0.23142007],"study_design_scores_gemma":[0.005649518,0.00012407725,0.0000687455,0.00033307192,0.000111849346,0.000004236477,0.0001334819,0.9589911,0.0076535135,0.025902597,0.0007743082,0.0002534864],"about_ca_topic_score_codex":0.0000028764393,"about_ca_topic_score_gemma":4.412413e-7,"teacher_disagreement_score":0.7912821,"about_ca_system_score_codex":0.00011766626,"about_ca_system_score_gemma":0.00011356043,"threshold_uncertainty_score":0.9999787},"labels":[],"label_agreement":null},{"id":"W4409791340","doi":"10.61091/jcmcc127a-438","title":"Research on telecommunication subscriber churn prediction model based on quadratic classification method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Quadratic equation; Telecommunications; Artificial intelligence; Data mining; Machine learning; Mathematics","score_opus":0.06003705236873011,"score_gpt":0.3487043680812196,"score_spread":0.2886673157124895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7228014,0.00013889809,0.19146623,0.0044811615,0.019841168,0.0015950673,0.0000039852007,0.00019395618,0.059478156],"genre_scores_gemma":[0.9946242,0.0000113078795,0.0038631842,0.00029681998,0.0011340482,0.000008266792,0.000009561068,0.00002776106,0.000024847777],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973427,0.00016029646,0.0010048351,0.00024860457,0.0009581728,0.0002853734],"domain_scores_gemma":[0.99657565,0.0010536102,0.0008450191,0.00038023212,0.0011102454,0.00003526152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004838591,0.00023207912,0.00044983564,0.0010848584,0.0006033667,0.00054943346,0.00042568514,0.00017261952,0.000007728902],"category_scores_gemma":[0.00063139625,0.00020960996,0.00013222235,0.0009835626,0.00006565361,0.00043800622,0.00012659143,0.00077482645,0.000010561128],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028702506,0.0009863515,0.00016942623,0.00028230663,0.000045026856,0.0000018130726,0.00016935833,0.006187998,0.0008310065,0.9840082,0.0017071195,0.0053243754],"study_design_scores_gemma":[0.0026343549,0.00017277834,0.00049636734,0.00051156187,0.0000786412,0.0000014823612,0.000479426,0.6733815,0.00022283959,0.32129586,0.00059058616,0.00013459785],"about_ca_topic_score_codex":0.000016139915,"about_ca_topic_score_gemma":9.165528e-7,"teacher_disagreement_score":0.66719353,"about_ca_system_score_codex":0.00022132312,"about_ca_system_score_gemma":0.00014517758,"threshold_uncertainty_score":0.85476464},"labels":[],"label_agreement":null},{"id":"W4409791344","doi":"10.61091/jcmcc127a-380","title":"Research on the teaching model of dynamic structural behavior simulation in structural engineering teaching by combining finite element method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Finite element method; Computer science; Mathematics education; Engineering; Structural engineering; Mathematics","score_opus":0.027876153203367032,"score_gpt":0.3839500041456887,"score_spread":0.3560738509423217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72464377,0.00006163402,0.27087924,0.0007048912,0.0032396535,0.00029692228,0.0000014990023,0.0000241022,0.00014829253],"genre_scores_gemma":[0.9453912,0.0000025937613,0.05448616,0.000018511488,0.00007731591,0.000005652142,9.894108e-7,0.000011862494,0.0000057170673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99721193,0.00040231153,0.0010646204,0.0002480565,0.0007385044,0.00033456177],"domain_scores_gemma":[0.9941197,0.0045438674,0.0006331166,0.00033007684,0.00031496774,0.00005823809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058719516,0.00022007107,0.00048584654,0.0005318069,0.00047858135,0.00018775288,0.0009777836,0.00014630833,9.081423e-7],"category_scores_gemma":[0.0009202846,0.0001599904,0.00009676898,0.00040189695,0.000058681766,0.00025745813,0.00043890273,0.00193714,1.3820875e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001532766,0.00017537549,0.00016044467,0.000056862948,0.000039629675,0.0000018806742,0.0010089381,0.0578027,0.0009738431,0.9364831,0.000020280924,0.0032616265],"study_design_scores_gemma":[0.00081032683,0.00017696797,0.00017109515,0.0003184427,0.000015498785,0.0000034334464,0.0003494504,0.65689343,0.0003963644,0.34075734,0.000010665608,0.000096963646],"about_ca_topic_score_codex":0.000011683291,"about_ca_topic_score_gemma":2.7278458e-7,"teacher_disagreement_score":0.59909075,"about_ca_system_score_codex":0.00022866474,"about_ca_system_score_gemma":0.00020294213,"threshold_uncertainty_score":0.8416017},"labels":[],"label_agreement":null},{"id":"W4409791346","doi":"10.61091/jcmcc127a-449","title":"Nonlinear system analysis and control of electrical intelligent control platform based on automatic control principles","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automatic control; Control (management); Control engineering; Nonlinear system; Intelligent control; Computer science; Nonlinear control; Control system; Control theory (sociology); Engineering; Artificial intelligence; Electrical engineering; Physics","score_opus":0.008837982087426055,"score_gpt":0.22372517485160148,"score_spread":0.21488719276417542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61809075,0.00082187663,0.37080938,0.000117499134,0.0080961855,0.0010337745,0.00001919345,0.00021607275,0.0007952721],"genre_scores_gemma":[0.99893844,0.000010020333,0.0005870258,0.00002186808,0.0004062313,0.0000074420295,9.269446e-7,0.000026089618,0.000001959782],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99688077,0.00014378669,0.0018947325,0.00020290428,0.00050729536,0.00037049924],"domain_scores_gemma":[0.9962756,0.0019708637,0.0009138571,0.00029308684,0.00040689931,0.00013971105],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020417834,0.0003700461,0.0018674025,0.0008506491,0.0001731961,0.00010343112,0.00035321517,0.00042787413,0.0000023135917],"category_scores_gemma":[0.0005393238,0.00031605116,0.00034122565,0.0007834364,0.000101755395,0.00008190972,0.00003521422,0.00069842715,7.0301655e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087992696,0.0008549641,0.003743315,0.0014752437,0.0060149566,0.000049538055,0.0002755441,0.022925248,0.001357665,0.9561017,0.000043757755,0.006278148],"study_design_scores_gemma":[0.014163893,0.00086510344,0.00021249187,0.0007422213,0.0017842907,0.000018250386,0.00013032476,0.9712753,0.0012744007,0.009179079,0.00010384915,0.0002507382],"about_ca_topic_score_codex":0.000007571924,"about_ca_topic_score_gemma":5.543511e-7,"teacher_disagreement_score":0.94835013,"about_ca_system_score_codex":0.00019075583,"about_ca_system_score_gemma":0.00013488253,"threshold_uncertainty_score":0.99992913},"labels":[],"label_agreement":null},{"id":"W4409791347","doi":"10.61091/jcmcc127a-320","title":"Prediction of student attendance and its scheduling optimization in higher education based on multivariate regression analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Safety and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Attendance; Multivariate analysis; Regression analysis; Regression; Computer science; Statistics; Econometrics; Machine learning; Mathematics; Political science","score_opus":0.02271190941278515,"score_gpt":0.27772499564242187,"score_spread":0.2550130862296367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9711084,0.00044904827,0.011995827,0.0007655365,0.013054666,0.0004800488,0.0000011564754,0.00002835846,0.002116965],"genre_scores_gemma":[0.99727243,0.000029829906,0.0019641304,0.00007943472,0.00062587444,0.0000024913932,0.0000035930484,0.000011035182,0.000011186229],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837685,0.000040561452,0.0008595766,0.00018418313,0.00039907728,0.00013977283],"domain_scores_gemma":[0.998123,0.00020937686,0.0010892617,0.00013107013,0.00042872695,0.000018551138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011285618,0.00017640676,0.00050620787,0.0009295037,0.0001474715,0.00014093952,0.00016903752,0.00009848617,0.000008676158],"category_scores_gemma":[0.00015990545,0.00014907385,0.000097914315,0.0010414326,0.000024465686,0.0003240685,0.0001397161,0.00021789451,3.092868e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002610914,0.0015851485,0.015283771,0.0008233795,0.00025418427,0.0000034470872,0.00016486473,0.1269067,0.00014164501,0.8531911,0.00004037899,0.001344319],"study_design_scores_gemma":[0.0049186544,0.0001218675,0.041162964,0.0021012994,0.00073253596,5.192829e-7,0.0003197261,0.8914908,0.00006614477,0.058711547,0.00018597454,0.00018795181],"about_ca_topic_score_codex":0.000019960304,"about_ca_topic_score_gemma":5.081403e-7,"teacher_disagreement_score":0.79447955,"about_ca_system_score_codex":0.00006590537,"about_ca_system_score_gemma":0.000055420216,"threshold_uncertainty_score":0.60790557},"labels":[],"label_agreement":null},{"id":"W4409791352","doi":"10.61091/jcmcc127a-338","title":"Research on the Impact of Multi-Agent Based Systems on the Development of Intelligent Manufacturing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Manufacturing engineering; Computer science; Systems engineering; Process management; Business; Engineering","score_opus":0.055475155889984765,"score_gpt":0.31731818637383413,"score_spread":0.2618430304838494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98599267,0.00022581188,0.004811703,0.00008837894,0.0073191295,0.00059632235,0.0000017612626,0.000025435975,0.00093875884],"genre_scores_gemma":[0.99957764,0.0000069424905,0.00013121137,0.0000030082467,0.000249369,0.000007686011,2.3831356e-7,0.000018786142,0.0000051044394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973728,0.0002853759,0.0013171749,0.00011613509,0.0006161779,0.00029233572],"domain_scores_gemma":[0.9958163,0.002841859,0.0005552054,0.0003344887,0.00039851884,0.00005366208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005209497,0.00022840264,0.00064566475,0.0003607554,0.0002961302,0.00007406157,0.0006101504,0.0002170199,0.000003824514],"category_scores_gemma":[0.00043925203,0.00012797791,0.00019895601,0.00034999213,0.00011148585,0.000029788036,0.00010503471,0.00097622373,0.0000015356394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031200933,0.00090072036,0.00009185493,0.0005857797,0.0010339554,0.000006663318,0.0015442283,0.03358,0.0028937336,0.9557157,0.00062196224,0.0027133494],"study_design_scores_gemma":[0.012775133,0.0038481904,0.00073048583,0.012924082,0.000241299,0.000022749564,0.00951376,0.3689012,0.43891114,0.14998241,0.0012742564,0.0008752963],"about_ca_topic_score_codex":0.000013444354,"about_ca_topic_score_gemma":3.0526772e-7,"teacher_disagreement_score":0.8057333,"about_ca_system_score_codex":0.0002491245,"about_ca_system_score_gemma":0.00021800215,"threshold_uncertainty_score":0.5218788},"labels":[],"label_agreement":null},{"id":"W4409791777","doi":"10.61091/jcmcc127a-425","title":"Innovative Design of Traditional Ethnic Clothing Based on Numerical Computing Optimization Combined with Smart Wearable Devices","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Clothing; Wearable computer; Ethnic group; Computer science; Wearable technology; Human–computer interaction; Architectural engineering; Embedded system; Engineering; Sociology; Political science","score_opus":0.03304117498495863,"score_gpt":0.2790632834220764,"score_spread":0.2460221084371178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04998087,0.00008682562,0.9431248,0.0002777805,0.005083856,0.00034429046,0.0000010873357,0.00005449215,0.001046017],"genre_scores_gemma":[0.87997943,0.0000049949585,0.11970878,0.000103032165,0.0001791114,0.000001950107,0.0000014735898,0.000018421379,0.0000028314364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997003,0.00021613565,0.0012266628,0.00030370944,0.0009152353,0.00033524298],"domain_scores_gemma":[0.9945127,0.0026307958,0.0013016209,0.00027087197,0.0011421457,0.00014186761],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017646917,0.00032582114,0.0008511165,0.00038138806,0.00025914112,0.00029200627,0.0007253504,0.00013723159,0.0000024664423],"category_scores_gemma":[0.00041697142,0.0002687088,0.000109423665,0.0016019234,0.00011600314,0.0005128171,0.00018289531,0.00050792133,7.341441e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043827711,0.0017396052,0.00021633654,0.00032540463,0.00018178426,0.000024146335,0.0007771054,0.08847883,0.00008740035,0.9045579,0.00008497816,0.0030882428],"study_design_scores_gemma":[0.005485668,0.003973959,0.00028189705,0.0026581588,0.000057853136,0.00002218494,0.0001579867,0.87917036,0.0010994098,0.10676288,0.000025165999,0.00030450046],"about_ca_topic_score_codex":0.0000031638315,"about_ca_topic_score_gemma":4.3321354e-8,"teacher_disagreement_score":0.82999855,"about_ca_system_score_codex":0.000096966665,"about_ca_system_score_gemma":0.0004959603,"threshold_uncertainty_score":0.9999765},"labels":[],"label_agreement":null},{"id":"W4409791782","doi":"10.61091/jcmcc127a-415","title":"Path Selection and Congestion Mitigation Strategies Based on Deep Learning and Traffic Simulation Models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Deep learning; Computer science; Path (computing); Artificial intelligence; Traffic congestion; Machine learning; Operations research; Transport engineering; Engineering; Computer network","score_opus":0.006865964653333761,"score_gpt":0.23428286055116962,"score_spread":0.22741689589783587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.575194,0.00022041635,0.42063028,0.00003910451,0.0023869865,0.00021953924,3.3452596e-7,0.00041026567,0.00089905615],"genre_scores_gemma":[0.9977498,0.0001052287,0.0019632748,0.000008312408,0.00015373413,0.0000019391878,0.0000013110456,0.000015264763,0.0000011390679],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906164,0.000055295117,0.00043547337,0.000113821734,0.00021107467,0.00012269798],"domain_scores_gemma":[0.99923944,0.00031598104,0.00019149121,0.000046872745,0.00014923862,0.000056949095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005417588,0.00016041978,0.0002719839,0.00025277896,0.00017375042,0.00021855891,0.00005101821,0.00011645756,5.373687e-7],"category_scores_gemma":[0.000078494915,0.00016104589,0.000036219248,0.0001668622,0.000030259152,0.00025463916,0.000023751794,0.00030817767,7.981084e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044267337,0.000081527985,0.000037201375,0.0003556646,0.00004563533,0.0000015260863,0.00032947917,0.6414307,0.00016957926,0.339747,0.00004058515,0.017716808],"study_design_scores_gemma":[0.0014902856,0.00031577612,0.00012925343,0.00036077885,0.000060803843,0.000003982465,0.00024964783,0.91722304,0.00007232219,0.07987855,0.000099516445,0.00011603489],"about_ca_topic_score_codex":8.2120374e-7,"about_ca_topic_score_gemma":4.3022584e-7,"teacher_disagreement_score":0.42255577,"about_ca_system_score_codex":0.000056744506,"about_ca_system_score_gemma":0.000023588518,"threshold_uncertainty_score":0.65672606},"labels":[],"label_agreement":null},{"id":"W4409791783","doi":"10.61091/jcmcc127a-469","title":"Financial fraud identification model construction based on topological data analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Topological data analysis; Business; Computer science; Topology (electrical circuits); Data mining; Data science; Mathematics; Algorithm","score_opus":0.027016920589702263,"score_gpt":0.29851136506711784,"score_spread":0.27149444447741555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791783","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016760468,0.000043853244,0.9766702,0.0006298542,0.0051144664,0.0001871578,0.000009664231,0.000093964685,0.00049037184],"genre_scores_gemma":[0.82583064,0.000013133334,0.17383268,0.00009073248,0.000209308,0.0000021484461,0.00000968118,0.000006858549,0.0000048442375],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973473,0.000142011,0.001202896,0.0004381306,0.00063785183,0.00023179622],"domain_scores_gemma":[0.9963466,0.0006176615,0.001178194,0.0012075236,0.0005676543,0.00008236274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023053878,0.0002245185,0.00063239376,0.00067741045,0.00030207637,0.00043940853,0.0018789534,0.0002007123,0.000002044564],"category_scores_gemma":[0.0013578844,0.00020381593,0.00014861603,0.0013124454,0.00011699891,0.00051540614,0.0005503386,0.00044600104,0.0000011919673],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031393585,0.00034175607,0.00013448393,0.000038844355,0.00007914708,0.0000033288622,0.000065090884,0.0012240413,0.00022346861,0.9934557,0.00050897896,0.0038937875],"study_design_scores_gemma":[0.0007185361,0.00010216145,0.00021244382,0.00006079968,0.00011983601,0.000003733642,0.000013883808,0.54528606,0.00062964816,0.45260188,0.00013979708,0.00011125428],"about_ca_topic_score_codex":0.0000026041496,"about_ca_topic_score_gemma":2.0355108e-7,"teacher_disagreement_score":0.80907017,"about_ca_system_score_codex":0.00011036437,"about_ca_system_score_gemma":0.00034474386,"threshold_uncertainty_score":0.83113724},"labels":[],"label_agreement":null},{"id":"W4409791790","doi":"10.61091/jcmcc127a-455","title":"Research on the Optimization Model of Digital Transformation Path for Financial Cloud-Driven Enterprises Based on Dynamic Planning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Economic Development and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Transformation (genetics); Digital transformation; Path (computing); Business; Dynamic capabilities; Computer science; Process management; Industrial organization; World Wide Web; Operating system","score_opus":0.033108845421407414,"score_gpt":0.2801948029456224,"score_spread":0.24708595752421497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6451137,0.000016186996,0.33855104,0.001480416,0.006846709,0.00077930896,0.0000046807286,0.000022750755,0.007185164],"genre_scores_gemma":[0.9982512,0.0000028418726,0.0010428011,0.00012939208,0.0005380553,0.000005745121,0.000009383068,0.000013813799,0.000006761417],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984771,0.00001794412,0.00079710723,0.00012365225,0.0004065403,0.00017765761],"domain_scores_gemma":[0.99762833,0.0007422891,0.00073315576,0.000109916895,0.0007748134,0.000011486557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016526969,0.00014986352,0.0003239582,0.0004955453,0.0003290674,0.00031783016,0.0002700161,0.00008992375,0.0000017372105],"category_scores_gemma":[0.00054620585,0.00011528846,0.000107431275,0.00038680877,0.000057453395,0.00042442678,0.00005755803,0.00025501204,6.5660225e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036175255,0.0002355455,0.00008088582,0.00022630517,0.00002389921,3.4042174e-7,0.00014211808,0.14378819,0.000026070717,0.8538177,0.00095357996,0.00034362904],"study_design_scores_gemma":[0.001626907,0.00012577962,0.0000300695,0.00059937406,0.000019309904,2.628731e-7,0.00017732097,0.7012202,0.00003077996,0.29585144,0.00023973043,0.00007878636],"about_ca_topic_score_codex":0.0000010819003,"about_ca_topic_score_gemma":5.1440967e-8,"teacher_disagreement_score":0.55796623,"about_ca_system_score_codex":0.00007831747,"about_ca_system_score_gemma":0.00015163324,"threshold_uncertainty_score":0.4701327},"labels":[],"label_agreement":null},{"id":"W4409791791","doi":"10.61091/jcmcc127a-450","title":"Optimization research on the integration development path of agricultural, cultural and tourism industries in Yijun County based on data analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tourism; Agriculture; Path (computing); Regional science; Business; Path analysis (statistics); Economic geography; Marketing; Geography; Computer science; Archaeology","score_opus":0.08381749948849407,"score_gpt":0.3403566912339025,"score_spread":0.2565391917454084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991966,0.00008318387,0.0019438013,0.0022388347,0.0016295124,0.00033430097,0.0000019900708,0.0000064590245,0.0017959005],"genre_scores_gemma":[0.9978762,0.00010972145,0.0018034601,0.000025680374,0.00015465419,0.0000021118638,0.0000068534346,0.00000396537,0.000017323007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99770457,0.00034958645,0.0006452833,0.00016881025,0.0009497706,0.00018200857],"domain_scores_gemma":[0.9977666,0.0012460658,0.00042113077,0.00016390785,0.0003518344,0.00005046021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004884137,0.00012852541,0.0003533419,0.00032452907,0.0005042345,0.00018835464,0.0003919645,0.00012292866,0.000004268965],"category_scores_gemma":[0.000979109,0.00008091321,0.000039938917,0.0010567522,0.00019274905,0.00016009662,0.00015584081,0.00040489077,1.896373e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016712217,0.0008549768,0.0031437906,0.000067395675,0.00027547934,0.000004966478,0.008761954,0.011517984,0.000039374503,0.96993244,0.0029052391,0.0023293027],"study_design_scores_gemma":[0.019691736,0.002870137,0.17122951,0.0106510855,0.0013311194,0.0000070902784,0.15247563,0.28818265,0.0027162936,0.33199272,0.016626198,0.002225857],"about_ca_topic_score_codex":0.00005058499,"about_ca_topic_score_gemma":0.000008309272,"teacher_disagreement_score":0.6379397,"about_ca_system_score_codex":0.00019259616,"about_ca_system_score_gemma":0.00028104064,"threshold_uncertainty_score":0.38782153},"labels":[],"label_agreement":null},{"id":"W4409793531","doi":"10.61091/jcmcc127a-257","title":"Deep Learning-Driven Digital Twin for Remote Control of Power Systems","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Remote control; Deep learning; Control (management); Artificial intelligence; Computer hardware","score_opus":0.0075415681371156194,"score_gpt":0.2244715085109952,"score_spread":0.21692994037387958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23017992,0.0007856398,0.7246494,0.000052238458,0.028505605,0.00076586637,0.000014460592,0.00013188484,0.014914973],"genre_scores_gemma":[0.9987841,0.000014055832,0.00088658795,0.000003929758,0.00026113464,0.0000016886544,0.0000017002195,0.00003294964,0.000013832261],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979227,0.000029605731,0.0013219636,0.000105168394,0.0003651553,0.0002553848],"domain_scores_gemma":[0.99775374,0.0008952634,0.0005256765,0.00014187057,0.00058028504,0.000103163075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006135192,0.00023410963,0.00075526483,0.00023603023,0.00010050219,0.00027998275,0.00028901355,0.00019963113,0.0000017290529],"category_scores_gemma":[0.00040917197,0.00022550854,0.00020055498,0.00024591555,0.00006190584,0.00033590724,0.000042232998,0.00041865994,8.617974e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016072305,0.00027786638,0.00025090284,0.0018873186,0.00064599613,0.0000062064028,0.0009834138,0.05463069,0.00037635805,0.93630564,0.00040007127,0.004074835],"study_design_scores_gemma":[0.013796465,0.0012048748,0.000057428533,0.002234507,0.00025047586,0.00006886917,0.0016859903,0.7101789,0.00083101424,0.261893,0.0072385967,0.00055985333],"about_ca_topic_score_codex":8.357229e-7,"about_ca_topic_score_gemma":2.1664826e-8,"teacher_disagreement_score":0.7686042,"about_ca_system_score_codex":0.000082297396,"about_ca_system_score_gemma":0.00006271934,"threshold_uncertainty_score":0.91959715},"labels":[],"label_agreement":null},{"id":"W4409793532","doi":"10.61091/jcmcc127a-164","title":"A new algorithm for polynomial interpolation in complex surface modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interpolation (computer graphics); Algorithm; Polynomial interpolation; Polynomial; Surface (topology); Mathematics; Computer science; Linear interpolation; Computer graphics (images); Geometry; Mathematical analysis; Animation","score_opus":0.01340193936353342,"score_gpt":0.2739678426616774,"score_spread":0.260565903298144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793532","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07445171,0.00025930183,0.9213563,0.00005671031,0.0032792755,0.00024336156,0.0000013983419,0.00007514047,0.00027677446],"genre_scores_gemma":[0.7471081,0.000025056454,0.25241646,0.000009641352,0.00041036788,0.0000012107342,0.0000015855745,0.000023612492,0.0000039748115],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982836,0.00003046172,0.0010663695,0.00014077935,0.00022524575,0.0002535015],"domain_scores_gemma":[0.99892205,0.000372489,0.00026307968,0.00012898514,0.00021570052,0.00009768203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006135475,0.00022335738,0.0007096321,0.00026777133,0.00008133633,0.00009844925,0.0002525402,0.00013113536,0.0000025866448],"category_scores_gemma":[0.00014583766,0.00022208494,0.00015777694,0.00041081719,0.00002057646,0.00017857723,0.00008629259,0.00033734195,2.6532308e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042638334,0.0010586058,0.0003472511,0.0012007455,0.00094464864,0.000024892282,0.0027392786,0.15439783,0.017955502,0.5619474,0.006736392,0.2522211],"study_design_scores_gemma":[0.0019386106,0.00011620207,0.000006257802,0.00020216397,0.00004435548,0.000004620307,0.00009206074,0.7290067,0.0004890491,0.26763672,0.00031904687,0.00014418992],"about_ca_topic_score_codex":0.000015325324,"about_ca_topic_score_gemma":8.172388e-7,"teacher_disagreement_score":0.6726564,"about_ca_system_score_codex":0.00015227377,"about_ca_system_score_gemma":0.000069751826,"threshold_uncertainty_score":0.9056361},"labels":[],"label_agreement":null},{"id":"W4409793534","doi":"10.61091/jcmcc127a-177","title":"Research on Path Selection and Mathematical Modeling of Enterprise Logistics Cost Optimization in International Trade","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Path (computing); Operations research; Computer science; Industrial organization; Business; Mathematical optimization; Manufacturing engineering; Industrial engineering; Biochemical engineering; Engineering; Mathematics; Artificial intelligence","score_opus":0.03544992817810693,"score_gpt":0.31470992284896965,"score_spread":0.2792599946708627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8082535,0.000109972636,0.16763103,0.0035764049,0.0065032695,0.00076804444,0.0000023004334,0.000065330634,0.013090127],"genre_scores_gemma":[0.9965732,0.000023660014,0.0029065914,0.000046592817,0.00042879436,0.0000028497066,0.0000021520877,0.000013429132,0.000002732807],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982763,0.000033605633,0.0009267901,0.00015152019,0.00041848733,0.00019327579],"domain_scores_gemma":[0.99850726,0.00045399147,0.0004957956,0.00011233682,0.0004157451,0.000014852929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019417821,0.00014559187,0.00040460838,0.0010388584,0.00016490524,0.00017034732,0.0002584852,0.00016463442,0.00000871361],"category_scores_gemma":[0.0008801368,0.00013677565,0.00005076419,0.0008328271,0.000110647525,0.00026460915,0.00020682353,0.00058954366,8.491442e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011627243,0.00059863785,0.00050280825,0.00021795717,0.000042934138,0.000004172373,0.00010010817,0.010992735,0.000041707044,0.98631763,0.00009896902,0.0009660454],"study_design_scores_gemma":[0.0017082989,0.00010638099,0.0000428837,0.00063818425,0.000031421372,0.0000059852546,0.00059387967,0.57283854,0.000033032946,0.42379916,0.00012032616,0.00008188173],"about_ca_topic_score_codex":0.000015488948,"about_ca_topic_score_gemma":0.000001089164,"teacher_disagreement_score":0.5625185,"about_ca_system_score_codex":0.00007394275,"about_ca_system_score_gemma":0.000052170566,"threshold_uncertainty_score":0.5577549},"labels":[],"label_agreement":null},{"id":"W4409793538","doi":"10.61091/jcmcc127a-205","title":"Research on the realization of food packaging design innovation and production efficiency improvement based on digital simulation technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Realization (probability); Production (economics); Manufacturing engineering; Food processing; Computer science; Systems engineering; Engineering; Process engineering; Food science; Mathematics; Economics","score_opus":0.042909278458568255,"score_gpt":0.3292962157095422,"score_spread":0.28638693725097397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57390374,0.000022654305,0.4213127,0.00071202713,0.0032562874,0.00040390153,4.1848057e-7,0.000025169187,0.00036313533],"genre_scores_gemma":[0.99895453,0.0000033528215,0.00086871133,0.000020377174,0.00013874719,0.000003236161,4.4727025e-7,0.000007881298,0.0000026967875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807465,0.00010343101,0.00072731473,0.00021166577,0.00069032627,0.00019259864],"domain_scores_gemma":[0.99644226,0.001537719,0.0005829373,0.00026133587,0.0011406213,0.000035120895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027534806,0.00014184134,0.00027546825,0.0007074822,0.0002788973,0.00031250584,0.0003620753,0.00008848992,2.1125041e-7],"category_scores_gemma":[0.001583207,0.000103314516,0.000035250254,0.0018759842,0.00011221021,0.00028326706,0.00018183883,0.00032285834,3.073555e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052783966,0.0004422287,0.000038900973,0.00009231604,0.000021944448,8.906391e-7,0.00021616633,0.0028093688,0.0005263495,0.98088115,0.000028922708,0.0148889925],"study_design_scores_gemma":[0.0009795396,0.0030880268,0.000034890767,0.0007556934,0.000010537956,0.0000021665512,0.0002177872,0.19568934,0.011080585,0.7880221,0.00003205075,0.00008728931],"about_ca_topic_score_codex":4.4078672e-7,"about_ca_topic_score_gemma":1.5853445e-8,"teacher_disagreement_score":0.42505082,"about_ca_system_score_codex":0.00007099684,"about_ca_system_score_gemma":0.00014543915,"threshold_uncertainty_score":0.42130437},"labels":[],"label_agreement":null},{"id":"W4409793540","doi":"10.61091/jcmcc127a-244","title":"Research on the Application of Virtual Reality Technology in Cultural Heritage Digitisation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Jilin Office of Philosophy and Social Science","keywords":"Cultural heritage; Virtual reality; Computer science; Human–computer interaction; History; Archaeology","score_opus":0.03558081642859725,"score_gpt":0.33596867525734564,"score_spread":0.3003878588287484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97577626,0.000085057436,0.020029914,0.0005557116,0.0014784579,0.00028702852,0.0000011787379,0.000035634243,0.0017507675],"genre_scores_gemma":[0.99952793,0.000023477654,0.00028818764,0.000006734976,0.00013356452,0.0000071277527,9.350338e-7,0.000009597993,0.0000024442013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987014,0.00006746743,0.00068705465,0.000092877715,0.00030886842,0.00014236152],"domain_scores_gemma":[0.9983099,0.00082627457,0.00019427566,0.00019725099,0.00044276728,0.00002952606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015246931,0.00010080821,0.00027463704,0.00034600828,0.000120276876,0.0000514888,0.0002463374,0.00012469631,8.072911e-7],"category_scores_gemma":[0.0003055977,0.00007974779,0.00004665226,0.00075601146,0.000092691764,0.00006459801,0.00006074465,0.00046950314,7.3268933e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016979577,0.00013051003,0.00010692337,0.000050384613,0.00002007333,3.7114194e-7,0.00036108046,0.009951496,0.0010602996,0.9862583,0.00011424292,0.0019292842],"study_design_scores_gemma":[0.0012414521,0.0001409887,0.00024162144,0.00026324592,0.000013019857,0.0000030429837,0.0016455299,0.21404898,0.0020342038,0.7798258,0.00045514232,0.00008698171],"about_ca_topic_score_codex":0.000007704063,"about_ca_topic_score_gemma":7.684655e-7,"teacher_disagreement_score":0.20643257,"about_ca_system_score_codex":0.000100662925,"about_ca_system_score_gemma":0.00004752953,"threshold_uncertainty_score":0.32520205},"labels":[],"label_agreement":null},{"id":"W4409793543","doi":"10.61091/jcmcc127a-216","title":"The role of deep learning-based variable speed running training method in agility improvement of badminton players","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sports and Physical Education Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Variable (mathematics); Computer science; Psychology; Artificial intelligence; Mathematics; Geography; Meteorology","score_opus":0.02764897831638097,"score_gpt":0.3973688892534871,"score_spread":0.36971991093710616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810883,0.00034753696,0.006801495,0.0001926035,0.006899038,0.00061528507,0.0000011230509,0.00001138601,0.004043278],"genre_scores_gemma":[0.99668545,0.000012592818,0.0029436524,0.000018792083,0.00029769592,0.0000039211827,9.608708e-7,0.000014327728,0.000022602144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967441,0.0003519452,0.0017910937,0.00015699833,0.00057608646,0.00037976165],"domain_scores_gemma":[0.99207014,0.00504644,0.0016477319,0.00020832903,0.00091483473,0.0001125062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073732533,0.00016857036,0.00077846093,0.00021451376,0.00047894946,0.00003251471,0.00034728547,0.00015417574,0.000024246861],"category_scores_gemma":[0.0019889893,0.00012654383,0.00013037604,0.0005548824,0.0000974431,0.00006711337,0.00016063849,0.0011588787,2.9144516e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005025902,0.00085780263,0.009221858,0.0008639656,0.00014724229,0.000001707559,0.009053913,0.0015501423,0.0046043773,0.9535137,0.00003525086,0.019647485],"study_design_scores_gemma":[0.0073468206,0.0011084317,0.002945548,0.0020237577,0.00011425269,0.0000011183191,0.028894894,0.13291346,0.0040680566,0.8174934,0.0028583168,0.00023198317],"about_ca_topic_score_codex":0.00017347645,"about_ca_topic_score_gemma":0.000002517486,"teacher_disagreement_score":0.1360203,"about_ca_system_score_codex":0.00013923511,"about_ca_system_score_gemma":0.0009484688,"threshold_uncertainty_score":0.5160308},"labels":[],"label_agreement":null},{"id":"W4409793544","doi":"10.61091/jcmcc127a-226","title":"Comparison of Multi-Technology Routes and Construction of Virtual Simulation Environment for Energy Storage Power Station Using 3D Visualization Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Internet of Things and Social Network Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Visualization; Computer science; Energy storage; Power (physics); Computer graphics (images); Artificial intelligence","score_opus":0.014425783276957744,"score_gpt":0.3116512498561154,"score_spread":0.29722546657915766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.356842,0.00015646996,0.6397267,0.000044379653,0.0030925353,0.00011183567,0.0000011338227,0.00001354594,0.000011362522],"genre_scores_gemma":[0.91445225,0.00001622841,0.085437365,0.0000045215816,0.00007663053,0.0000012701975,8.9368365e-7,0.000008712932,0.0000021194585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834734,0.000059335558,0.0010485642,0.00016238878,0.00023791965,0.00014446626],"domain_scores_gemma":[0.99710816,0.00046679142,0.0016518981,0.00013707456,0.0006024724,0.000033606393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004947606,0.00015074307,0.00057417003,0.0005453555,0.00018188788,0.00006574684,0.0002462698,0.00021459404,8.011588e-7],"category_scores_gemma":[0.00025998405,0.00015413934,0.000078419354,0.00035848885,0.0001426726,0.00024073602,0.000196005,0.00016867167,3.212074e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044686818,0.00034964317,0.00040568618,0.00007257471,0.000097679665,4.4677935e-7,0.0009936596,0.0076900935,0.0020564757,0.982365,0.0000060620036,0.00591799],"study_design_scores_gemma":[0.00175711,0.0007588009,0.000031322044,0.00029610842,0.00006742372,0.000007414315,0.00085283205,0.7625255,0.004349844,0.22905177,0.00018954166,0.00011231531],"about_ca_topic_score_codex":0.000008605018,"about_ca_topic_score_gemma":3.4255518e-7,"teacher_disagreement_score":0.7548354,"about_ca_system_score_codex":0.00009023057,"about_ca_system_score_gemma":0.00007438729,"threshold_uncertainty_score":0.62856203},"labels":[],"label_agreement":null},{"id":"W4409793546","doi":"10.61091/jcmcc127a-260","title":"Kalman filter based channel estimation method in wireless communication and its performance optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Beijing University of Posts and Telecommunications","keywords":"Kalman filter; Wireless; Computer science; Channel (broadcasting); Estimation; Extended Kalman filter; Telecommunications; Electronic engineering; Computer network; Engineering; Artificial intelligence; Systems engineering","score_opus":0.010203820385918808,"score_gpt":0.26249698422809087,"score_spread":0.25229316384217204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793546","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2854656,0.00045871167,0.71112543,0.00014590226,0.0018908961,0.00031062245,0.0000015835387,0.000052831612,0.0005484041],"genre_scores_gemma":[0.9337958,0.00015288025,0.065921836,0.000011666351,0.0000890495,0.0000061777423,0.0000030713502,0.000017218268,0.0000022726174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890816,0.00004578933,0.0006270595,0.00010355327,0.00016611838,0.0001492925],"domain_scores_gemma":[0.9990131,0.00035193044,0.00024990644,0.00013666689,0.00019389183,0.000054474865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068752683,0.00015844083,0.00035235155,0.00021852896,0.00014823886,0.000080537226,0.00016438031,0.00009945542,0.0000014932101],"category_scores_gemma":[0.000075153905,0.00015956882,0.000036108555,0.00032673407,0.00002278924,0.00023454928,0.000063665386,0.00029351035,2.407666e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002816837,0.00020494362,0.000053430256,0.00056995044,0.000041086045,0.0000014567681,0.0004913402,0.7105788,0.00027936036,0.27740118,0.000038438833,0.010311873],"study_design_scores_gemma":[0.0017309099,0.00005875335,0.00010860756,0.00049067935,0.000027468926,0.0000065029944,0.00006305403,0.9325431,0.0011413426,0.0636653,0.000035111556,0.00012916818],"about_ca_topic_score_codex":0.0000017768871,"about_ca_topic_score_gemma":2.150556e-7,"teacher_disagreement_score":0.6483302,"about_ca_system_score_codex":0.00007046103,"about_ca_system_score_gemma":0.000034304263,"threshold_uncertainty_score":0.6507028},"labels":[],"label_agreement":null},{"id":"W4409793548","doi":"10.61091/jcmcc127a-185","title":"Research on Optimizing Primary School Classroom Atmosphere Based on Emotional Analysis Model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Atmosphere (unit); Primary (astronomy); Psychology; Computer science; Meteorology; Physics","score_opus":0.036442055595132805,"score_gpt":0.3431150642204768,"score_spread":0.30667300862534397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793548","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3457046,0.0002534666,0.62214166,0.0037556242,0.010476009,0.0003604454,0.0000026113166,0.00011633562,0.017189302],"genre_scores_gemma":[0.94415754,0.000017384962,0.0550708,0.00024264162,0.00043557904,0.0000039462725,0.0000019720544,0.0000142851695,0.000055835553],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967514,0.00028277157,0.0009522255,0.00040161348,0.001192128,0.0004198457],"domain_scores_gemma":[0.99505913,0.002491338,0.000579784,0.0005949974,0.0010814208,0.00019334203],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0035038558,0.000270292,0.00071267737,0.0007150161,0.0006281725,0.00034098528,0.0012640007,0.00030348435,0.000008284656],"category_scores_gemma":[0.0006667948,0.000246872,0.00028259767,0.0020478056,0.00012930154,0.0002303641,0.00034521727,0.0013959768,0.0000057963343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078957026,0.0008907259,0.00029094686,0.000064032596,0.00020617088,0.0000095185305,0.00010582176,0.05102445,0.000038639326,0.94523907,0.00076372735,0.0012879489],"study_design_scores_gemma":[0.001531266,0.00057032396,0.0004215269,0.00031197644,0.00008034242,0.00000542491,0.00009238036,0.4751748,0.00013691711,0.5213866,0.00013414324,0.00015425963],"about_ca_topic_score_codex":0.000002965863,"about_ca_topic_score_gemma":1.9865914e-7,"teacher_disagreement_score":0.598453,"about_ca_system_score_codex":0.000327977,"about_ca_system_score_gemma":0.0011389678,"threshold_uncertainty_score":0.99999833},"labels":[],"label_agreement":null},{"id":"W4409793549","doi":"10.61091/jcmcc127a-259","title":"Convolutional neural network-based optimization model for bird flight aerodynamic simulation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Aerodynamics; Computer science; Artificial neural network; Artificial intelligence; Aerospace engineering; Engineering","score_opus":0.008932447497634102,"score_gpt":0.23770477183497754,"score_spread":0.22877232433734343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09062048,0.00020437925,0.9012792,0.00013623934,0.007259811,0.00027266363,0.0000023664534,0.00016352131,0.00006130607],"genre_scores_gemma":[0.9694919,0.000011147368,0.029935343,0.000030100888,0.00048145052,0.0000042672714,0.0000041026274,0.000035507073,0.0000062032814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998621,0.000024494055,0.00075574376,0.00012328097,0.00022691445,0.00024855873],"domain_scores_gemma":[0.9984827,0.00052166113,0.0003652443,0.00012740833,0.00044326746,0.000059711743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051968684,0.00020062525,0.00044763926,0.00018728532,0.00020677403,0.000086996,0.00018766991,0.00020683013,0.0000017666295],"category_scores_gemma":[0.00018911992,0.00020130016,0.00012947255,0.00028423948,0.00004415694,0.00014419112,0.000043559245,0.0002573254,3.565788e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034522298,0.00006006795,0.00007605747,0.000114637405,0.00004606681,5.061722e-7,0.00004749667,0.7808955,0.00007548594,0.21819574,0.00020283961,0.00025110302],"study_design_scores_gemma":[0.0024874639,0.00011103407,0.000017658194,0.0001256349,0.00006817539,0.0000019398703,0.000018149956,0.83465624,0.00005615297,0.16225596,0.000060331,0.00014125685],"about_ca_topic_score_codex":6.6467516e-7,"about_ca_topic_score_gemma":4.6567334e-7,"teacher_disagreement_score":0.8788714,"about_ca_system_score_codex":0.00011355796,"about_ca_system_score_gemma":0.00009182797,"threshold_uncertainty_score":0.82087827},"labels":[],"label_agreement":null},{"id":"W4409793552","doi":"10.61091/jcmcc127a-209","title":"Research on algorithm construction of time series data processing from the perspective of multi-resource fusion of virtual power plantk","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Resource (disambiguation); Series (stratigraphy); Computer science; Fusion; Sensor fusion; Time series; Power (physics); Algorithm; Data mining; Artificial intelligence; Machine learning","score_opus":0.020500423908540684,"score_gpt":0.3049060057988402,"score_spread":0.2844055818902995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8287351,0.0016357043,0.16070326,0.0002758999,0.0057786023,0.0007701554,0.00021426473,0.00005994245,0.0018270803],"genre_scores_gemma":[0.97710776,0.0000602934,0.022493381,0.000002596191,0.00030492133,0.00000112098,0.0000056782187,0.000020255033,0.0000039817733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982819,0.00008203676,0.0008270975,0.00015104786,0.0005014176,0.00015649716],"domain_scores_gemma":[0.9972737,0.0010417474,0.000559276,0.00033419614,0.0007469795,0.000044096156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010425801,0.00015346766,0.00052389124,0.00016160926,0.00017419281,0.00003784315,0.0005048208,0.00010485265,0.0000034122322],"category_scores_gemma":[0.00025916964,0.00011943422,0.000065272885,0.00043586994,0.00025606994,0.00014709924,0.00026287834,0.0004606755,2.9286153e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026980616,0.0010856801,0.00005232887,0.000350398,0.00043713106,0.000004295962,0.0052097263,0.0038592003,0.010422724,0.94488,0.0004959331,0.032932777],"study_design_scores_gemma":[0.0064395233,0.0013310051,0.00025049868,0.0038313481,0.00023139252,0.0000326204,0.023595883,0.33643767,0.03224316,0.594096,0.001102903,0.00040801908],"about_ca_topic_score_codex":0.000017219098,"about_ca_topic_score_gemma":3.2126184e-7,"teacher_disagreement_score":0.35078403,"about_ca_system_score_codex":0.00005594402,"about_ca_system_score_gemma":0.000110288005,"threshold_uncertainty_score":0.4870386},"labels":[],"label_agreement":null},{"id":"W4409793554","doi":"10.61091/jcmcc127a-197","title":"Non-linear Analysis Method to Enhance the Strategy of Civic and Political Education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Politics; Political science; Sociology; Public administration; Law","score_opus":0.017308919684569022,"score_gpt":0.38658474347569627,"score_spread":0.3692758237911272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95952064,0.0001950765,0.020610156,0.0043980596,0.0053681573,0.00031869166,0.0000012424056,0.000010503711,0.009577505],"genre_scores_gemma":[0.9941899,0.000012738797,0.0047658174,0.0001577691,0.00081134756,0.0000019937095,3.8648102e-7,0.00000453509,0.00005549624],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982381,0.00026019724,0.0007121713,0.00013597889,0.00037663474,0.00027692135],"domain_scores_gemma":[0.9970277,0.0015653252,0.00037764004,0.00012937858,0.00068490603,0.00021506844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026371393,0.00012160278,0.0005015485,0.00021232544,0.00034176148,0.00010499381,0.00027295703,0.00011992438,0.000009743059],"category_scores_gemma":[0.0012308588,0.00008735801,0.00012649613,0.0008483472,0.00019730549,0.00008066639,0.00010162883,0.00026056013,6.216724e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020904094,0.0002777724,0.0004078843,0.000059414044,0.0001107568,3.2477885e-7,0.0022162378,0.000017900704,0.000069636204,0.99258965,0.00009616789,0.004133377],"study_design_scores_gemma":[0.00032907882,0.00022649656,0.0019929814,0.00014030632,0.0004218411,0.0000022281058,0.0049845865,0.0010613266,0.0006054772,0.98876,0.0013607604,0.00011492649],"about_ca_topic_score_codex":0.00043103518,"about_ca_topic_score_gemma":0.0000071276895,"teacher_disagreement_score":0.034669306,"about_ca_system_score_codex":0.00006819883,"about_ca_system_score_gemma":0.0006019179,"threshold_uncertainty_score":0.35623562},"labels":[],"label_agreement":null},{"id":"W4409793555","doi":"10.61091/jcmcc127a-246","title":"Remote Image Tampering Detection Combining Deep Neural Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Image (mathematics); Artificial neural network; Computer vision; Deep neural networks; Deep learning; Pattern recognition (psychology)","score_opus":0.007108687707499136,"score_gpt":0.2322582543934362,"score_spread":0.22514956668593705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793555","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1803144,0.00023425014,0.77828425,0.0001314563,0.03935673,0.00021811874,1.6392956e-7,0.00012663395,0.0013340045],"genre_scores_gemma":[0.97698694,0.000013732056,0.02207649,0.00004805699,0.0008420086,0.0000010955536,3.4507886e-7,0.000025698928,0.0000056389076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99717414,0.0001272522,0.0012678413,0.00033822763,0.0006227766,0.00046974025],"domain_scores_gemma":[0.99685144,0.00083240104,0.0010298488,0.00042395265,0.0006579091,0.0002044392],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015423739,0.00034792259,0.00074692664,0.00044391712,0.00038700007,0.00090535753,0.00085582177,0.00019834454,0.0000011100384],"category_scores_gemma":[0.0008828096,0.00033568408,0.00022674826,0.0009122687,0.0001131475,0.0009530538,0.0006236971,0.0007556802,0.0000014538344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011957456,0.0003780797,0.000057600828,0.00024723276,0.00021005442,0.00009016061,0.0010088013,0.0012936734,0.002457848,0.6707344,0.00007238537,0.3233302],"study_design_scores_gemma":[0.002416791,0.00049848226,0.00006433389,0.00027082028,0.0000507109,0.00017593215,0.000115089635,0.6864557,0.0022676145,0.3072568,0.0001700952,0.00025763616],"about_ca_topic_score_codex":0.000010544286,"about_ca_topic_score_gemma":0.000001068087,"teacher_disagreement_score":0.7966725,"about_ca_system_score_codex":0.00016457088,"about_ca_system_score_gemma":0.000078500336,"threshold_uncertainty_score":0.9999095},"labels":[],"label_agreement":null},{"id":"W4409793556","doi":"10.61091/jcmcc127a-243","title":"Research on the Design of Digital Training System for Tourism Majors and Innovation of School-Enterprise Collaboration Mode","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Hospitality and Tourism Education","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Tourism; Mode (computer interface); Engineering management; Knowledge management; Engineering; Business; Computer science; Geography; Human–computer interaction","score_opus":0.051625944020049705,"score_gpt":0.32197503291302837,"score_spread":0.27034908889297865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97739357,0.00005623352,0.015666263,0.00064412144,0.0044485545,0.00060370384,0.0000022982065,0.000011112369,0.00117417],"genre_scores_gemma":[0.99827063,0.0000043505415,0.0006933589,0.000016942666,0.0009870417,0.0000057457605,0.0000019728532,0.00001281157,0.0000071160716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99823695,0.000058320584,0.00096326537,0.000124124,0.00045513693,0.00016221285],"domain_scores_gemma":[0.9954968,0.0012872943,0.0011408201,0.00014015005,0.001919017,0.000015920867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037857255,0.00013192183,0.0004078836,0.00067567336,0.00027590143,0.00038433447,0.00021883305,0.00009860781,0.0000010404723],"category_scores_gemma":[0.0017725843,0.000102992744,0.000055545665,0.0011605318,0.000088416346,0.0004551022,0.000100151134,0.0002444688,3.4086872e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019411571,0.00022803828,0.00015247692,0.00070946326,0.00006603895,7.971427e-7,0.0007174752,0.00012607645,0.00029152844,0.99614435,0.00068573764,0.0006838831],"study_design_scores_gemma":[0.0026275266,0.000332757,0.00016990774,0.001553353,0.00008623996,0.000002637511,0.010848941,0.021063343,0.0007878187,0.96207803,0.00031777864,0.00013167418],"about_ca_topic_score_codex":0.000010413732,"about_ca_topic_score_gemma":1.206044e-7,"teacher_disagreement_score":0.034066346,"about_ca_system_score_codex":0.000059358812,"about_ca_system_score_gemma":0.00018529559,"threshold_uncertainty_score":0.41999224},"labels":[],"label_agreement":null},{"id":"W4409793557","doi":"10.61091/jcmcc127a-221","title":"Construction of a Machine Learning-based Model for Analyzing English Teaching and Learner Behavior","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Mathematics education; Psychology","score_opus":0.016539483719629714,"score_gpt":0.2947606150132302,"score_spread":0.2782211312936005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4556238,0.00034369252,0.53873134,0.0002800296,0.004665486,0.00019765453,0.0000013855224,0.00004132135,0.000115286995],"genre_scores_gemma":[0.89629847,0.00001381899,0.10346135,0.000016746235,0.00018490125,0.0000036497604,9.614922e-7,0.000009063492,0.000011025708],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985203,0.00011226467,0.00076155894,0.00019456616,0.0002260787,0.00018524332],"domain_scores_gemma":[0.99710345,0.0011787822,0.00083143107,0.00017337925,0.0006452579,0.00006769308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001866958,0.00017081665,0.00051123113,0.00036008444,0.00037211727,0.00011220388,0.00038317492,0.0001684392,5.6805777e-7],"category_scores_gemma":[0.0013146332,0.00016226145,0.000116671166,0.00021541689,0.0001179936,0.000200437,0.00016916651,0.00066155405,4.7590596e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036093123,0.0002875257,0.001896946,0.0001738403,0.000057342484,0.0000010447936,0.0011232076,0.00073009194,0.0002451816,0.98999286,0.000024013276,0.0054318747],"study_design_scores_gemma":[0.0024335256,0.0003730962,0.00009783199,0.00023259954,0.00011232642,0.000019068673,0.00020590967,0.51612204,0.000549968,0.4795003,0.00020738498,0.00014597397],"about_ca_topic_score_codex":0.00000586754,"about_ca_topic_score_gemma":4.5641295e-7,"teacher_disagreement_score":0.51539195,"about_ca_system_score_codex":0.000039267452,"about_ca_system_score_gemma":0.0002641339,"threshold_uncertainty_score":0.661683},"labels":[],"label_agreement":null},{"id":"W4409793558","doi":"10.61091/jcmcc127a-213","title":"Structured Thinking and Information Transfer in Foreign Language Speech and Interpretation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Language, Communication, and Linguistic Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Linguistics; Computer science; Natural language processing; Philosophy","score_opus":0.007872672725901217,"score_gpt":0.28272640234704477,"score_spread":0.27485372962114357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836562,0.0011263575,0.0025980957,0.0002389434,0.0030985908,0.00024618537,9.873817e-7,0.000018794977,0.009015791],"genre_scores_gemma":[0.9974927,0.0002663114,0.0019155021,0.00004341216,0.00027135268,9.525817e-7,8.555746e-7,0.0000048878164,0.000004040241],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99874413,0.00013861744,0.0005905685,0.00007943689,0.00029511764,0.00015211581],"domain_scores_gemma":[0.99860173,0.00075425906,0.00023465905,0.00009016776,0.0002643198,0.000054843287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001762945,0.00011722574,0.00034100437,0.00021446188,0.00038624642,0.00024435713,0.00017971642,0.000102718055,0.000002020775],"category_scores_gemma":[0.0013521849,0.00010461228,0.000036556106,0.0002230931,0.00012936111,0.00033083017,0.00009763485,0.00025318094,1.0714862e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039750976,0.000035500634,0.0009478748,0.00010635027,0.000032275682,0.0000025411957,0.08259787,0.0000017771403,0.00001819813,0.9073575,0.00001284731,0.008847491],"study_design_scores_gemma":[0.0031042525,0.00012660722,0.0016943287,0.00066298246,0.00007984404,0.000010921688,0.045226257,0.0017188097,0.000100266465,0.94619936,0.0009005413,0.00017583345],"about_ca_topic_score_codex":0.00019226961,"about_ca_topic_score_gemma":0.0000370757,"teacher_disagreement_score":0.03884183,"about_ca_system_score_codex":0.00006068109,"about_ca_system_score_gemma":0.00009849454,"threshold_uncertainty_score":0.4265965},"labels":[],"label_agreement":null},{"id":"W4409793559","doi":"10.61091/jcmcc127a-250","title":"Research on finite element-based heat transfer optimization design method in air conditioner heat exchanger performance analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Heat exchanger; Finite element method; Heat transfer; Air conditioning; Mechanical engineering; Materials science; Computer science; Mechanics; Structural engineering; Engineering; Physics","score_opus":0.029322685216726648,"score_gpt":0.30363598676707415,"score_spread":0.2743133015503475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.092721455,0.00010975758,0.90358025,0.00010790405,0.0025001443,0.00035943874,0.0000027262645,0.00004274188,0.0005755923],"genre_scores_gemma":[0.980501,0.00008980636,0.019106416,0.0000382159,0.00021284958,0.000010050085,0.000008314755,0.000030480292,0.0000028771035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974596,0.0003621044,0.0009934789,0.00019903184,0.00061379885,0.00037196657],"domain_scores_gemma":[0.99774426,0.0014642059,0.000029172079,0.00018983042,0.00046210465,0.00011044445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034131645,0.00025111463,0.0006844203,0.0014649136,0.00021821375,0.000095510484,0.00022144885,0.000195819,0.000016857193],"category_scores_gemma":[0.00009654862,0.00023973297,0.00015153966,0.0019876917,0.000043147178,0.00018821712,0.00002272951,0.00063491496,8.7177085e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001272697,0.00032643645,0.00008470727,0.00025871012,0.00020719989,0.0000059842823,0.00041198867,0.9759016,0.00014810843,0.022204157,0.00006213117,0.0002616847],"study_design_scores_gemma":[0.0043995716,0.00040307472,0.000116424424,0.00045596733,0.00021216774,0.0000018481683,0.000132282,0.98285246,0.00513397,0.006038008,0.000049401762,0.00020484846],"about_ca_topic_score_codex":0.000007001178,"about_ca_topic_score_gemma":8.241903e-7,"teacher_disagreement_score":0.88777953,"about_ca_system_score_codex":0.00022017487,"about_ca_system_score_gemma":0.00011586328,"threshold_uncertainty_score":0.97760266},"labels":[],"label_agreement":null},{"id":"W4409793560","doi":"10.61091/jcmcc127a-188","title":"Application of Text Analysis in Emotional Expression in Contemporary Literature","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Folklore, Mythology, and Literature Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Expression (computer science); Psychology; Natural language processing; Cognitive psychology; Data science; Computer science; Information retrieval; Programming language","score_opus":0.014825323515858618,"score_gpt":0.2600267032766637,"score_spread":0.2452013797608051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9655157,0.00565546,0.0021642365,0.00040662437,0.009972792,0.00044186966,0.00001321364,0.000020402074,0.015809705],"genre_scores_gemma":[0.99875784,0.00003216052,0.0006148098,0.00002438295,0.0005327668,0.0000025489555,0.00000555572,0.000008241423,0.00002171087],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981165,0.00012391944,0.0011522096,0.00017468078,0.00027537975,0.00015730891],"domain_scores_gemma":[0.9981682,0.0004590294,0.0007163763,0.00015431242,0.00046386602,0.00003822129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011191398,0.00018341902,0.00081820553,0.000894628,0.000121015364,0.00013080004,0.00022719016,0.00012363831,0.000005984164],"category_scores_gemma":[0.00021866214,0.00015014829,0.00017502054,0.0005449405,0.00014539986,0.00019002806,0.00011165647,0.0004170011,2.4665343e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013223411,0.00054049166,0.0046605254,0.00027624256,0.00016384265,0.00001105222,0.018169643,0.000035954927,0.0002184007,0.97518563,0.00025799163,0.00034796775],"study_design_scores_gemma":[0.006747058,0.00042885766,0.007300469,0.0025731404,0.00022816405,0.000010027637,0.005793534,0.003437625,0.00029100452,0.96788,0.0049685277,0.00034160085],"about_ca_topic_score_codex":0.00001895197,"about_ca_topic_score_gemma":0.000008952778,"teacher_disagreement_score":0.033242125,"about_ca_system_score_codex":0.000044041823,"about_ca_system_score_gemma":0.00007199588,"threshold_uncertainty_score":0.612287},"labels":[],"label_agreement":null},{"id":"W4409793561","doi":"10.61091/jcmcc127a-175","title":"Construction of Communication Strategies Based on Natural Language Processing in the Discourse Model of Doctor-Patient Interaction","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Discourse Analysis and Cultural Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Linguistics; Computer science; Communication; Natural language processing; Psychology; History; Philosophy","score_opus":0.017638054950674113,"score_gpt":0.34057160693746186,"score_spread":0.32293355198678775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894171,0.0005262435,0.001048048,0.00055819994,0.00096919277,0.00019113437,8.484957e-7,0.000006101956,0.007283172],"genre_scores_gemma":[0.998433,0.00004833353,0.0014285224,0.000015507117,0.00006422657,0.0000015271373,0.0000018857128,0.0000041702606,0.0000028301024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981886,0.0003599936,0.00076958525,0.000076946446,0.0004946671,0.000110177454],"domain_scores_gemma":[0.9977516,0.00040351404,0.0011595484,0.00020872783,0.00045371143,0.000022909508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016176563,0.000107121414,0.000346647,0.00018660055,0.00025110526,0.00013698939,0.0004064689,0.00006901433,0.000001750419],"category_scores_gemma":[0.00027226147,0.00007649829,0.000110783745,0.00040607795,0.0002274054,0.0003122793,0.00005138715,0.00033190142,6.23706e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088251756,0.0004891189,0.00007480768,0.00008248402,0.000022943032,5.808759e-7,0.023508225,0.0030833422,0.00046574164,0.9619997,0.000015235443,0.01016955],"study_design_scores_gemma":[0.002508893,0.0004077361,0.00020839855,0.0026024631,0.00023892372,0.000004037389,0.2897947,0.30726215,0.0008830441,0.3957582,0.00010581104,0.00022561225],"about_ca_topic_score_codex":0.00011608691,"about_ca_topic_score_gemma":0.000024928553,"teacher_disagreement_score":0.5662415,"about_ca_system_score_codex":0.00007190512,"about_ca_system_score_gemma":0.00025951184,"threshold_uncertainty_score":0.31195098},"labels":[],"label_agreement":null},{"id":"W4409793562","doi":"10.61091/jcmcc127a-211","title":"An Innovative Teaching Model of Japanese Language in Colleges and Universities Based on Natural Language Processing Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Mathematics education; Language education; Natural (archaeology); Psychology; History","score_opus":0.00927856198246925,"score_gpt":0.2974706933000117,"score_spread":0.28819213131754245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895884,0.00036942738,0.0073706135,0.0006734814,0.0013663695,0.00011175005,0.0000010543413,0.000035977733,0.00048293162],"genre_scores_gemma":[0.9827906,0.0000029212463,0.017079823,0.000041445044,0.00006491134,8.6757973e-7,5.687247e-7,0.000006608497,0.000012241225],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988245,0.00008822151,0.0005069139,0.00017904154,0.00023064713,0.00017069362],"domain_scores_gemma":[0.99849564,0.00044705908,0.0004948071,0.00020106981,0.00032490664,0.00003650503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009566048,0.00015879433,0.0004343166,0.00090180425,0.00016615291,0.00006954641,0.0005330197,0.00016324678,3.1901052e-7],"category_scores_gemma":[0.00024172403,0.00013448892,0.000031463667,0.0007110292,0.00013744828,0.0002708631,0.00016726207,0.0006729741,5.4056844e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056687637,0.00045497023,0.00033932604,0.00017014098,0.000022176739,0.000014123736,0.016290532,0.00041255986,0.0021993844,0.97495663,0.0000075674784,0.005075921],"study_design_scores_gemma":[0.003459559,0.00068253535,0.00025138207,0.001004611,0.000024537469,0.000027652422,0.026984712,0.73568153,0.0027140828,0.22891355,0.000009811362,0.00024601122],"about_ca_topic_score_codex":0.000014327222,"about_ca_topic_score_gemma":9.747208e-7,"teacher_disagreement_score":0.7460431,"about_ca_system_score_codex":0.000077100325,"about_ca_system_score_gemma":0.0004415432,"threshold_uncertainty_score":0.5484299},"labels":[],"label_agreement":null},{"id":"W4409793563","doi":"10.61091/jcmcc127a-207","title":"A quantitative study of the impact of scientific and technological progress in agriculture on rural economic growth","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digitalization and Economic Development in Agriculture","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Technological change; Economics; Economic geography; Natural resource economics; Geography; Macroeconomics","score_opus":0.01146858732365636,"score_gpt":0.24850720428704665,"score_spread":0.2370386169633903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99586344,0.000051217812,0.000008223569,0.00008859154,0.0025055665,0.00032241823,8.657932e-7,0.00000796162,0.0011516961],"genre_scores_gemma":[0.9998291,0.000002802569,0.000056472283,0.0000064090236,0.000092473885,0.0000016038509,7.50597e-7,0.000005122303,0.0000052619102],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987848,0.000023061059,0.0007557343,0.00012498337,0.00018256814,0.00012888275],"domain_scores_gemma":[0.9984356,0.00014619979,0.001025161,0.000099846264,0.00028104088,0.000012124113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078108214,0.00015730238,0.000475762,0.0002880808,0.00012671234,0.0002731468,0.00029879488,0.000081296406,0.000002140288],"category_scores_gemma":[0.00022685064,0.000089324894,0.000093785835,0.0005043698,0.00014880196,0.00026854794,0.00025906632,0.00018677577,4.1840866e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009100139,0.0012016156,0.09229871,0.00014226361,0.000101369,0.0000014045213,0.0003994653,0.000099182995,0.00004853697,0.9049261,0.00034406062,0.00034628794],"study_design_scores_gemma":[0.010180151,0.0009504285,0.1974431,0.0017867393,0.00014114344,0.000011239041,0.008749525,0.0041602175,0.00026100958,0.77576476,0.00013227458,0.0004194463],"about_ca_topic_score_codex":0.000018477493,"about_ca_topic_score_gemma":0.0000022726133,"teacher_disagreement_score":0.12916137,"about_ca_system_score_codex":0.000062209234,"about_ca_system_score_gemma":0.000055993536,"threshold_uncertainty_score":0.36425635},"labels":[],"label_agreement":null},{"id":"W4409793564","doi":"10.61091/jcmcc127a-235","title":"Measuring the Effectiveness of Students’ Language Proficiency Enhancement Based on Principal Component Analysis in Task-Based Teaching of English in Information Technology-Assisted Colleges and Universities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Division of Graduate Education; Beijing Institute of Petrochemical Technology","keywords":"Task (project management); Component (thermodynamics); Mathematics education; Computer science; English language; Higher education; Psychology; Engineering; Political science; Physics","score_opus":0.006707679253888369,"score_gpt":0.2677945648396955,"score_spread":0.2610868855858071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730725,0.00006239535,0.025097411,0.000116964744,0.001162941,0.00028897688,8.1419944e-7,0.000011501293,0.00018644646],"genre_scores_gemma":[0.9967067,0.0000024089413,0.0032612542,0.0000067295523,0.0000150856495,0.000004273701,7.0929684e-7,0.00000233541,4.559592e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982671,0.000295457,0.0007180989,0.0001214589,0.0004627762,0.000135079],"domain_scores_gemma":[0.99736315,0.0013417569,0.00068467396,0.00020485261,0.0003829897,0.000022573675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00371619,0.00012977415,0.00048651776,0.001228744,0.00011438447,0.000056159708,0.0005764989,0.00009311766,1.9209601e-7],"category_scores_gemma":[0.00047329383,0.000104606675,0.000066559456,0.0011562599,0.00009782545,0.00016525906,0.0002208201,0.0003697875,2.2594062e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012784974,0.0013665503,0.04362079,0.0004575134,0.00013649437,0.0000032325663,0.0027565688,0.0019018719,0.00050830044,0.9485939,0.0000012797951,0.0005256629],"study_design_scores_gemma":[0.028794201,0.0035255107,0.37202,0.010096631,0.0006657396,0.000005905725,0.031868316,0.30506638,0.049724665,0.19732937,0.00005711347,0.00084614515],"about_ca_topic_score_codex":0.00001590635,"about_ca_topic_score_gemma":9.888263e-7,"teacher_disagreement_score":0.7512645,"about_ca_system_score_codex":0.00018233486,"about_ca_system_score_gemma":0.00027603708,"threshold_uncertainty_score":0.42657363},"labels":[],"label_agreement":null},{"id":"W4409793565","doi":"10.61091/jcmcc127a-200","title":"A quantitative assessment of the relationship between college management and college students’ employability enhancement","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Employability; Psychology; Medical education; Mathematics education; Pedagogy; Medicine","score_opus":0.045144199120296685,"score_gpt":0.3932633134689913,"score_spread":0.3481191143486946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886508,0.00008612238,0.0012535821,0.0008955898,0.006058024,0.0006757467,0.0000063421926,0.000010320726,0.0023634946],"genre_scores_gemma":[0.994935,0.000016146476,0.004732392,0.0000188047,0.00017879799,0.000004105502,3.3790235e-7,0.000007520614,0.0001069183],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99702555,0.0005972776,0.001066332,0.00018312375,0.0009139391,0.00021378441],"domain_scores_gemma":[0.9955351,0.0027499234,0.00083635317,0.0002320914,0.00052988075,0.00011668794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047363094,0.00015848597,0.00052840234,0.00013858824,0.0007096054,0.000095778945,0.00047537248,0.000108496286,0.0000070585934],"category_scores_gemma":[0.0010979028,0.00012736474,0.00012364569,0.0006286364,0.00036425286,0.00011422346,0.00030027205,0.00032281413,3.140559e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016804272,0.0003864245,0.3643392,0.00015300147,0.00007818961,4.3398757e-7,0.0021704854,0.0000010172218,0.0000036350107,0.6326609,0.00014859438,0.000041269177],"study_design_scores_gemma":[0.001617831,0.0001947474,0.37921938,0.00035925824,0.00013761393,5.261238e-7,0.002938686,0.0000180692,0.00002645492,0.6147816,0.0006059006,0.0000999265],"about_ca_topic_score_codex":0.000049702157,"about_ca_topic_score_gemma":0.0000072190537,"teacher_disagreement_score":0.01787935,"about_ca_system_score_codex":0.0002696947,"about_ca_system_score_gemma":0.00042166366,"threshold_uncertainty_score":0.5457783},"labels":[],"label_agreement":null},{"id":"W4409793566","doi":"10.61091/jcmcc127a-253","title":"Computational study of adaptive current interruption protection strategy based on multi-intelligent body system in AC-DC hybrid power grid","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Current (fluid); Computer science; Grid; Power grid; Power (physics); Electric power system; Electrical engineering; Engineering; Physics","score_opus":0.026482218995920428,"score_gpt":0.28373237788918493,"score_spread":0.2572501588932645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80609655,0.000120141674,0.17772461,0.0000049975006,0.014797732,0.0010451876,0.0000031546624,0.000054300894,0.00015329574],"genre_scores_gemma":[0.99922323,0.0000034506927,0.00042394554,0.0000011829154,0.0003062401,0.000015212025,0.0000012477384,0.000024763534,7.107566e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974169,0.00018443959,0.0014764683,0.00019323522,0.00052240567,0.00020654938],"domain_scores_gemma":[0.9984685,0.00021166145,0.00063809374,0.00015736833,0.00045119593,0.000073159295],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001284472,0.00027508853,0.0006976033,0.00056346564,0.000108280736,0.00008959199,0.00018202943,0.00010509502,0.0000014267252],"category_scores_gemma":[0.00009913231,0.000256948,0.00012119708,0.00038298106,0.000025823572,0.0001261987,0.000049842274,0.00060140924,9.310534e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010568218,0.0083618825,0.00060103973,0.0031239302,0.00048587305,0.000048377882,0.0033350373,0.82944924,0.0010167639,0.13954318,0.000079369085,0.012898515],"study_design_scores_gemma":[0.006513654,0.00252841,0.00070503535,0.0026359425,0.000059284408,0.00001854412,0.0022827839,0.9765347,0.0008216901,0.0076278243,0.000037350223,0.00023474166],"about_ca_topic_score_codex":0.000029362714,"about_ca_topic_score_gemma":0.000001409316,"teacher_disagreement_score":0.19312666,"about_ca_system_score_codex":0.0003860523,"about_ca_system_score_gemma":0.00008763361,"threshold_uncertainty_score":0.99998826},"labels":[],"label_agreement":null},{"id":"W4409793567","doi":"10.61091/jcmcc127a-256","title":"A multi-stage dynamic planning-based optimization method for post-disaster resilience enhancement and flexible resource dispatch of distribution networks in coastal cities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Southern Power Grid","keywords":"Resilience (materials science); Stage (stratigraphy); Resource distribution; Resource (disambiguation); Distribution (mathematics); Computer science; Environmental resource management; Operations research; Resource allocation; Environmental science; Engineering; Geology; Mathematics; Materials science","score_opus":0.008662359756855151,"score_gpt":0.2811737714771677,"score_spread":0.27251141172031257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793567","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28224608,0.00020078546,0.71642286,0.000023508392,0.00087539345,0.00019274591,0.000009017788,0.000011462398,0.000018133778],"genre_scores_gemma":[0.95666516,0.000015465055,0.043211166,0.0000083090345,0.000065597786,0.0000040996374,0.000013655671,0.000012441679,0.0000040913424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984373,0.000082446335,0.00087756425,0.00015158184,0.00022572995,0.00022540666],"domain_scores_gemma":[0.9984783,0.00069434,0.00036738388,0.0001294447,0.00027419784,0.00005632409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011547843,0.00019026246,0.00056731486,0.00019514887,0.00012281281,0.00008152161,0.00015657346,0.00013134273,0.0000016687937],"category_scores_gemma":[0.00028993379,0.00017829933,0.00009763257,0.00032504002,0.00007778235,0.00012176082,0.000064475185,0.0002608277,1.5620465e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018326902,0.00014737424,0.00051702216,0.0006870147,0.00006129189,0.0000016392371,0.00058977044,0.98364484,0.0007315308,0.012197477,0.000015083588,0.0012237057],"study_design_scores_gemma":[0.0025627147,0.00027913324,0.00028592258,0.0006188584,0.00007598852,0.0000024092187,0.00086334057,0.9864847,0.0012316876,0.007411048,0.0000381825,0.00014602844],"about_ca_topic_score_codex":0.000012294598,"about_ca_topic_score_gemma":0.0000035832702,"teacher_disagreement_score":0.6744191,"about_ca_system_score_codex":0.00008928729,"about_ca_system_score_gemma":0.000063801315,"threshold_uncertainty_score":0.72708356},"labels":[],"label_agreement":null},{"id":"W4409793569","doi":"10.61091/jcmcc127a-218","title":"An innovative model program for teaching educational psychology based on the maximum information entropy model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychology; Entropy (arrow of time); Computer science; Physics; Thermodynamics","score_opus":0.019790266100798523,"score_gpt":0.32856064164440507,"score_spread":0.30877037554360653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793569","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049068842,0.000009256401,0.93979347,0.0039476296,0.004468893,0.0006122065,0.0000023661055,0.000040249222,0.002057068],"genre_scores_gemma":[0.8754004,0.0000017195194,0.12347188,0.0008305171,0.0002527972,0.000030415973,0.0000022941695,0.000006914471,0.0000030139363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806106,0.00011147548,0.00082200987,0.00021237407,0.0004927541,0.00030032336],"domain_scores_gemma":[0.99652296,0.0009929966,0.00077879074,0.00032590167,0.0012895687,0.00008977838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027780756,0.00021187468,0.00035098035,0.00037608843,0.00063208473,0.0005481365,0.0009883705,0.00010096811,8.16602e-7],"category_scores_gemma":[0.0010196754,0.00015802441,0.00010897697,0.0005413472,0.00010499676,0.0008940707,0.00014857347,0.000476561,6.409071e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049240003,0.00060233386,0.000012673091,0.000044269294,0.000023925091,2.7375842e-7,0.0011679681,0.003960197,0.00016133052,0.97484607,0.000482929,0.0186488],"study_design_scores_gemma":[0.0010771839,0.00044073482,0.000012686575,0.00010257915,0.000010432143,0.0000023006653,0.000086549684,0.51693165,0.00007576379,0.48095807,0.00021684494,0.000085212305],"about_ca_topic_score_codex":0.0000011555284,"about_ca_topic_score_gemma":6.570655e-8,"teacher_disagreement_score":0.8263316,"about_ca_system_score_codex":0.00008258685,"about_ca_system_score_gemma":0.000647773,"threshold_uncertainty_score":0.6444048},"labels":[],"label_agreement":null},{"id":"W4409793570","doi":"10.61091/jcmcc127a-162","title":"Research on Decision Tree-Based Risk Control Strategies in E-Commerce Platforms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Decision tree; Control (management); Computer science; Tree (set theory); Risk analysis (engineering); Business; Data science; Data mining; Artificial intelligence; Mathematics","score_opus":0.02700829846696938,"score_gpt":0.3349308092400209,"score_spread":0.3079225107730515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793570","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45759144,0.0001583053,0.5338646,0.00039300157,0.0055793696,0.00035056876,0.000003888429,0.00004252942,0.0020162773],"genre_scores_gemma":[0.9640543,0.000025128758,0.035574734,0.000046156827,0.00027665094,0.000005701621,7.384933e-7,0.000012888429,0.0000037311877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971111,0.0001633343,0.0011092586,0.000325915,0.0008756955,0.00041471017],"domain_scores_gemma":[0.9936903,0.004456478,0.0006077936,0.00053847744,0.000568813,0.00013812006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052857096,0.00023627406,0.0006236853,0.00080140925,0.0004353854,0.00074213877,0.0013100287,0.0001651586,0.0000013677588],"category_scores_gemma":[0.0006651978,0.00019496179,0.00012236029,0.0012608757,0.00010325178,0.00042580083,0.0002879223,0.0010830547,0.000003612986],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092180715,0.00067309005,0.0002103826,0.00004182265,0.000030447385,0.000013658354,0.0002752915,0.0007461442,0.000030738225,0.9643822,0.00031669863,0.03318735],"study_design_scores_gemma":[0.006312682,0.000682388,0.0010767771,0.0006838412,0.000018390852,0.000005901737,0.00044408572,0.21906325,0.00014864364,0.770928,0.00046871474,0.00016729654],"about_ca_topic_score_codex":0.000029340752,"about_ca_topic_score_gemma":0.0000025347636,"teacher_disagreement_score":0.5064628,"about_ca_system_score_codex":0.00014641065,"about_ca_system_score_gemma":0.0004490175,"threshold_uncertainty_score":0.7950311},"labels":[],"label_agreement":null},{"id":"W4409793571","doi":"10.61091/jcmcc127a-247","title":"Optimization and application of image recognition algorithm based on DouN-GNN model in two-node graph neural network","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial neural network; Image (mathematics); Algorithm; Node (physics); Artificial intelligence; Pattern recognition (psychology); Graph; Theoretical computer science; Engineering","score_opus":0.017408848977843096,"score_gpt":0.270321290995609,"score_spread":0.25291244201776586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3131817,0.000040488558,0.6812546,0.00030465794,0.0039451434,0.0005001661,0.0000041538788,0.000047529284,0.00072155846],"genre_scores_gemma":[0.98077315,0.00002095148,0.018871956,0.00009953025,0.00020957505,0.000005429964,0.0000018573186,0.0000161501,0.0000013849402],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981338,0.00017907712,0.00089323905,0.00024004864,0.0003681092,0.00018576701],"domain_scores_gemma":[0.9979244,0.0006885167,0.00089484913,0.00016516676,0.00025794763,0.00006913584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010454389,0.00018009335,0.00041146364,0.0003340298,0.00017937597,0.00010741566,0.00017030268,0.00008919977,0.0000011870598],"category_scores_gemma":[0.00044139638,0.00017653471,0.000079072575,0.0006494374,0.00008963827,0.00018015201,0.000055214576,0.0003476971,2.825403e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006219516,0.0018360438,0.0002709851,0.00046559365,0.000030439187,0.000010479929,0.0005420165,0.49878645,0.025083471,0.43465158,0.00013792468,0.037563037],"study_design_scores_gemma":[0.0030263776,0.00015918871,0.000054297787,0.00020212789,0.000027055105,0.0000089024925,0.00004047403,0.77112925,0.0048903986,0.22034743,0.000005591311,0.00010889915],"about_ca_topic_score_codex":0.0000055908463,"about_ca_topic_score_gemma":3.389233e-7,"teacher_disagreement_score":0.66759145,"about_ca_system_score_codex":0.00006588814,"about_ca_system_score_gemma":0.000072775976,"threshold_uncertainty_score":0.7198877},"labels":[],"label_agreement":null},{"id":"W4409793574","doi":"10.61091/jcmcc127a-261","title":"A Study on the Influence Path of Corporate ESG Disclosure Quality and Sustainability Performance Based on Bayesian Network Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Sustainability; Bayesian network; Path analysis (statistics); Quality (philosophy); Sustainability reporting; Corporate sustainability; Business; Bayesian probability; Computer science; Econometrics; Statistics; Mathematics; Artificial intelligence; Computer network","score_opus":0.030018990736532636,"score_gpt":0.2920082434316597,"score_spread":0.2619892526951271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99428236,0.00003052808,0.0020271633,0.0008150841,0.001749469,0.0004982496,3.3573235e-7,0.000009128303,0.0005877047],"genre_scores_gemma":[0.9995082,0.000027633512,0.00016229953,0.00005375435,0.00023055477,0.0000035615851,1.7878949e-7,0.000008224163,0.0000055769783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973955,0.0004963688,0.00087838806,0.00018076666,0.00079312536,0.000255859],"domain_scores_gemma":[0.9970943,0.0013234798,0.000913922,0.00020306146,0.00037042034,0.00009486333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054658935,0.00018814896,0.00050159934,0.00008509319,0.0007285109,0.000121616,0.00031348926,0.00009177376,0.0000011281506],"category_scores_gemma":[0.0007712603,0.00013304438,0.00008278426,0.00033677858,0.00021960864,0.0001060333,0.00012233245,0.00036352957,1.3149474e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030374885,0.0007774783,0.08942544,0.00016859804,0.00007253231,0.00000715958,0.005536452,0.017652564,0.0000031526433,0.88555586,0.00004002893,0.0004569824],"study_design_scores_gemma":[0.0027644888,0.0011770978,0.061042443,0.0008538419,0.00007939322,0.0000012025009,0.0073086563,0.036129903,0.000010529477,0.8903123,0.00006294246,0.00025716843],"about_ca_topic_score_codex":0.00002915413,"about_ca_topic_score_gemma":0.0000012195388,"teacher_disagreement_score":0.028382994,"about_ca_system_score_codex":0.00015392092,"about_ca_system_score_gemma":0.00035883108,"threshold_uncertainty_score":0.56031907},"labels":[],"label_agreement":null},{"id":"W4409793578","doi":"10.61091/jcmcc127a-176","title":"Research on legal judgment prediction model based on event extraction and constraints","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Extraction (chemistry); Computer science; Artificial intelligence; Data mining; Chromatography; Chemistry; Physics","score_opus":0.06192266114251482,"score_gpt":0.4006711620555488,"score_spread":0.338748500913034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86314774,0.00008614165,0.065475106,0.0024725937,0.02979095,0.000979697,0.000005611031,0.0000743915,0.037967756],"genre_scores_gemma":[0.99732345,0.000036454494,0.00135309,0.00006103764,0.0011765192,0.000003422049,4.536247e-7,0.00001340255,0.00003217108],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968627,0.000407996,0.00084012,0.00023785955,0.001286312,0.0003650149],"domain_scores_gemma":[0.9964536,0.0019766046,0.00044874725,0.0001670793,0.00076700957,0.00018695934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006417663,0.00017658787,0.00038333397,0.00040986543,0.0010989661,0.00035122916,0.000252253,0.0002131541,0.000010801272],"category_scores_gemma":[0.0010228683,0.00016714387,0.000098182005,0.00039828423,0.0005488353,0.00019898983,0.000079686964,0.0008112235,0.0000023392056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018600983,0.00065003306,0.000050731178,0.000048389516,0.000029266224,0.000008161824,0.0011319058,0.004250797,0.000117759984,0.98576784,0.00046185672,0.0072972653],"study_design_scores_gemma":[0.0014444316,0.001319266,0.000050081166,0.0010139515,0.000052160285,0.000004835887,0.0029972785,0.25658345,0.0010302722,0.7336347,0.0016901504,0.00017942586],"about_ca_topic_score_codex":0.000050944152,"about_ca_topic_score_gemma":0.0000037145226,"teacher_disagreement_score":0.25233266,"about_ca_system_score_codex":0.00036065668,"about_ca_system_score_gemma":0.0005494782,"threshold_uncertainty_score":0.845247},"labels":[],"label_agreement":null},{"id":"W4409793579","doi":"10.61091/jcmcc127a-160","title":"Supportive Strategies and Empirical Research on Housing Policies for the Improvement of the Living Environment of Special Needs Groups under the Social Security Framework","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Social security; Business; Empirical research; Environmental resource management; Sociology; Political science; Economics; Epistemology","score_opus":0.05610528743270947,"score_gpt":0.39917583709347415,"score_spread":0.34307054966076467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922033,0.00025708944,0.0014030889,0.0027563267,0.0022815363,0.0007373235,0.0000030626318,0.0000030945791,0.0003552003],"genre_scores_gemma":[0.9980383,0.00008698039,0.00012651538,0.000060365193,0.0016625698,0.000005666101,2.5164792e-7,0.000012029779,0.0000073431515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99740887,0.00020424773,0.0007551618,0.00012411075,0.0011888018,0.0003187917],"domain_scores_gemma":[0.99229705,0.006546012,0.0005332955,0.00021354924,0.000315342,0.00009475007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031970881,0.00016285383,0.0005369195,0.00014239666,0.00067182054,0.00011502721,0.0002944792,0.00013848387,0.000006199546],"category_scores_gemma":[0.0014208289,0.00007983657,0.00019566399,0.0003346813,0.00067076593,0.000052212734,0.00037484654,0.0008193977,1.0988689e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005233135,0.0010839017,0.000763866,0.00039425926,0.0004863643,0.0000024429912,0.009073074,0.000007657866,0.00027813588,0.9848186,0.00040502194,0.0021633964],"study_design_scores_gemma":[0.0033460474,0.0027667086,0.006181018,0.0014078222,0.00030259058,0.0000079108195,0.036293607,0.00065747986,0.0013971265,0.94735116,0.00019947745,0.0000890461],"about_ca_topic_score_codex":0.000023496565,"about_ca_topic_score_gemma":8.8299544e-7,"teacher_disagreement_score":0.037467398,"about_ca_system_score_codex":0.00012672973,"about_ca_system_score_gemma":0.00047492198,"threshold_uncertainty_score":0.51671684},"labels":[],"label_agreement":null},{"id":"W4409793580","doi":"10.61091/jcmcc127a-167","title":"Using data mining techniques to optimise athlete training and recovery programmes in tertiary physical education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sports Performance and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Physical education; Training (meteorology); Medical education; Computer science; Data science; Medicine; Geography","score_opus":0.04109568617622374,"score_gpt":0.3449808648654249,"score_spread":0.3038851786892012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99498814,0.00027803413,0.00077024254,0.00022017244,0.00284534,0.00040304867,7.5143436e-7,0.000026354415,0.0004678874],"genre_scores_gemma":[0.9429996,0.000032118896,0.055867102,0.00011758831,0.00095174776,0.000002849216,0.0000032120158,0.00002124802,0.0000045254283],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99837285,0.000024204026,0.00078586617,0.00025103756,0.00029793338,0.00026811438],"domain_scores_gemma":[0.9987777,0.00019508183,0.0003993346,0.00026468508,0.00021298978,0.0001501927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012666683,0.00021112889,0.00070201844,0.0004496534,0.00012943137,0.00012998919,0.0002021785,0.00010732671,6.991373e-7],"category_scores_gemma":[0.00031932845,0.00019212777,0.00006531219,0.00037801068,0.000054205302,0.00029595903,0.00026995753,0.000374804,1.1887395e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010640917,0.0041736364,0.04619293,0.0023621405,0.00052221946,0.00018423956,0.026969545,0.00006563404,0.0052080895,0.08666803,0.000419361,0.8261701],"study_design_scores_gemma":[0.040135324,0.010825103,0.030444376,0.07240769,0.0034987617,0.0033806588,0.052216403,0.23470688,0.0112852,0.5287117,0.008877601,0.0035103036],"about_ca_topic_score_codex":0.000012218161,"about_ca_topic_score_gemma":4.1139342e-7,"teacher_disagreement_score":0.8226598,"about_ca_system_score_codex":0.00008556884,"about_ca_system_score_gemma":0.0005399815,"threshold_uncertainty_score":0.7834743},"labels":[],"label_agreement":null},{"id":"W4409793581","doi":"10.61091/jcmcc127a-163","title":"Research on the two-stage model of container matching based on vehicle path combination optimization and cargo owner demand","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Container (type theory); Matching (statistics); Path (computing); Stage (stratigraphy); Automotive engineering; Computer science; Operations research; Transport engineering; Engineering; Mathematics; Statistics; Biology; Mechanical engineering; Operating system","score_opus":0.024351199786719208,"score_gpt":0.28016824144520325,"score_spread":0.25581704165848407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80683017,0.00015259774,0.17949541,0.00054655696,0.0047947024,0.0006404337,0.000012669212,0.000058333157,0.007469106],"genre_scores_gemma":[0.9976641,0.000030581617,0.002045936,0.00003932438,0.0001715982,0.000002931695,0.000001798879,0.00002794855,0.000015782432],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980301,0.00016019544,0.0007816157,0.00014790786,0.0006292684,0.00025085884],"domain_scores_gemma":[0.9971341,0.0016917962,0.000325247,0.00022582173,0.00053954177,0.00008350378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028975566,0.00021216438,0.0004829529,0.00029857008,0.00028974464,0.00016819205,0.00022770521,0.00012703548,0.000005577146],"category_scores_gemma":[0.00032973298,0.00014215897,0.000077141,0.00029106994,0.00014428725,0.000083222716,0.000093557115,0.0006422322,4.1949312e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053162858,0.00018908507,0.000048792816,0.00021390888,0.00003619796,0.0000035140108,0.00029755177,0.42719445,0.00014308777,0.57144403,0.00014641038,0.00022983893],"study_design_scores_gemma":[0.0023730977,0.0003054633,0.000023623668,0.00049819454,0.000039997616,0.0000016659908,0.00043239913,0.8157011,0.00070592726,0.17975855,0.00004024972,0.0001196793],"about_ca_topic_score_codex":0.000013683808,"about_ca_topic_score_gemma":4.6677738e-7,"teacher_disagreement_score":0.39168546,"about_ca_system_score_codex":0.00008642475,"about_ca_system_score_gemma":0.000090436806,"threshold_uncertainty_score":0.57970744},"labels":[],"label_agreement":null},{"id":"W4409793582","doi":"10.61091/jcmcc127a-158","title":"Study on the Innovation of Spatial Planning and Financial Resource Allocation Mechanism of the Intelligent Financial System of Public Hospitals in Refined Construction","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Government of Jiangsu Province","keywords":"Mechanism (biology); Business; Resource allocation; Finance; Resource (disambiguation); Financial innovation; Computer science; Economics; Management","score_opus":0.0305475343713671,"score_gpt":0.3020917862800922,"score_spread":0.2715442519087251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910855,0.00008350237,0.0026244186,0.0008413078,0.00423577,0.00089653296,0.0000020799757,0.0000056583876,0.00022518392],"genre_scores_gemma":[0.9994767,0.000004196624,0.00017061498,0.000028550412,0.0003049867,0.0000036757506,6.7440425e-7,0.000009302166,0.0000013147935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966137,0.00041517496,0.0020614122,0.00013949188,0.0005988196,0.00017139588],"domain_scores_gemma":[0.9960191,0.00065516925,0.0020386411,0.00023104702,0.0010026995,0.000053329313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055449074,0.0001547261,0.00081377523,0.00041239875,0.00013824936,0.00002557482,0.00017264878,0.0001650861,5.1417476e-7],"category_scores_gemma":[0.0031891488,0.00010143164,0.00007521819,0.00086217927,0.0000931753,0.00005337333,0.000106564425,0.00045344632,3.0824566e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001735676,0.00044149466,0.0075068036,0.0011003875,0.000042069,0.000002507033,0.0028249575,0.0000063163443,0.0002827009,0.9843102,0.000022415694,0.0032865885],"study_design_scores_gemma":[0.035021238,0.019873204,0.21370837,0.03883121,0.0006169331,0.00029876202,0.059789225,0.008033409,0.019957066,0.60240954,0.0006525923,0.0008084595],"about_ca_topic_score_codex":0.00012874822,"about_ca_topic_score_gemma":0.000002823573,"teacher_disagreement_score":0.38190067,"about_ca_system_score_codex":0.00013715558,"about_ca_system_score_gemma":0.0010014916,"threshold_uncertainty_score":0.41362622},"labels":[],"label_agreement":null},{"id":"W4409793587","doi":"10.61091/jcmcc127a-240","title":"Functional Design and Development of Smart Temperature Regulating Clothing Based on Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Clothing; Architectural engineering; Computer science; Engineering; Systems engineering; Geography","score_opus":0.033618558289092805,"score_gpt":0.27483354151353157,"score_spread":0.24121498322443877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793587","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25885364,0.00009477542,0.7316928,0.00022346998,0.008654283,0.00021117917,2.7949568e-7,0.000031415384,0.00023813112],"genre_scores_gemma":[0.8865724,0.000002422834,0.113179736,0.000035057426,0.00019623086,0.000001394834,3.2166892e-7,0.000009445228,0.0000029556938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977242,0.00009717343,0.0011157768,0.00023290003,0.0006043891,0.0002255612],"domain_scores_gemma":[0.99728066,0.0013093479,0.0006604409,0.00019244512,0.00043548964,0.00012164647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018563014,0.00022431332,0.00051041495,0.00024753902,0.0002904086,0.0003169298,0.0003847826,0.000120028846,0.0000012798151],"category_scores_gemma":[0.00039757715,0.00019376913,0.00007651288,0.00039600895,0.00007383576,0.0002703565,0.00023767726,0.00034686204,7.114395e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012970592,0.00046504464,0.000036420643,0.00022308838,0.00006223782,0.0000068932554,0.0009705153,0.0007005656,0.0013945741,0.9639094,0.000044496064,0.03205707],"study_design_scores_gemma":[0.0014203629,0.0011455157,0.00015916479,0.0021893224,0.000038251088,0.000024185569,0.00034734965,0.20145006,0.049607657,0.7431542,0.0001283497,0.0003355644],"about_ca_topic_score_codex":6.279919e-7,"about_ca_topic_score_gemma":5.115367e-8,"teacher_disagreement_score":0.6277188,"about_ca_system_score_codex":0.00005622627,"about_ca_system_score_gemma":0.00039040527,"threshold_uncertainty_score":0.79016757},"labels":[],"label_agreement":null},{"id":"W4409793588","doi":"10.61091/jcmcc127a-233","title":"Design of Cybersecurity Threat Prediction Model Based on Support Vector Machines and Data Mining Algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Support vector machine; Data mining; Algorithm; Computer security; Artificial intelligence","score_opus":0.0255931087460221,"score_gpt":0.27418498445910616,"score_spread":0.24859187571308405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07594721,0.0001761481,0.9133583,0.00022539984,0.009643428,0.00028829245,0.0000069437756,0.00004976609,0.00030452706],"genre_scores_gemma":[0.92820144,0.000053179105,0.07130335,0.00004454908,0.00037785064,0.0000012146995,0.0000023500857,0.000012631345,0.0000034464917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99770623,0.00016367176,0.0009781026,0.00033808642,0.0005864271,0.00022745568],"domain_scores_gemma":[0.99722713,0.0009101255,0.00082723383,0.00054450904,0.00037638124,0.00011463404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024803365,0.0002418824,0.0006097819,0.00030398727,0.0002770274,0.00020894861,0.0008374363,0.00016603598,0.0000018887374],"category_scores_gemma":[0.00036561533,0.00021610773,0.00007503661,0.00041256996,0.00008282356,0.00047435742,0.0005671026,0.00038822246,2.0785069e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047712354,0.0015671933,0.00024665703,0.00058353494,0.0002347924,0.000026336853,0.002807867,0.014116466,0.00091491995,0.9354476,0.0015859066,0.04199166],"study_design_scores_gemma":[0.0020662278,0.0007918273,0.00004055672,0.0003687304,0.000059976403,0.000020225074,0.000029899184,0.7953431,0.00043835252,0.20067497,0.00004024454,0.00012589092],"about_ca_topic_score_codex":0.0000066671373,"about_ca_topic_score_gemma":2.1756617e-7,"teacher_disagreement_score":0.8522542,"about_ca_system_score_codex":0.000051432944,"about_ca_system_score_gemma":0.00023916378,"threshold_uncertainty_score":0.8812617},"labels":[],"label_agreement":null},{"id":"W4409793589","doi":"10.61091/jcmcc127a-172","title":"A Strategic Path for Chinese Enterprises to Achieve High-Quality Development within the ESG Framework Driven by Digital Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Jilin Office of Philosophy and Social Science","keywords":"Business; Process management; Path (computing); Quality (philosophy); Engineering management; Knowledge management; Computer science; Engineering","score_opus":0.02184180221489379,"score_gpt":0.2638781558737651,"score_spread":0.24203635365887133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8935351,0.00019810424,0.09892946,0.0012739986,0.005063212,0.00040181316,0.000015264297,0.000039165072,0.00054391334],"genre_scores_gemma":[0.989792,0.00000633329,0.009814444,0.00010237228,0.00023334316,0.000014404276,0.000003187547,0.000017175855,0.000016742186],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976264,0.000015906993,0.0017534879,0.00026831403,0.0000812327,0.00025463488],"domain_scores_gemma":[0.99739385,0.0006021083,0.0014650631,0.0002468276,0.00022420712,0.00006797637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001204541,0.00023860206,0.00077923376,0.00029175886,0.00030530596,0.0003254372,0.0005662594,0.00026962793,0.0000028418658],"category_scores_gemma":[0.0011625907,0.00018776883,0.00011495058,0.0005603883,0.00009093777,0.00014047507,0.00025988335,0.0004635313,0.0000035566852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072212446,0.00030395522,0.0046276553,0.00006455029,0.00012652384,0.0000011674136,0.0003095099,0.000020851565,0.000033001164,0.99365777,0.00012057705,0.00066224125],"study_design_scores_gemma":[0.001394455,0.0004250488,0.00036488686,0.00015676126,0.000011116521,0.000005121356,0.00035623545,0.00058775593,0.00012314653,0.99558693,0.00078561844,0.00020293969],"about_ca_topic_score_codex":0.0000035579812,"about_ca_topic_score_gemma":2.3392477e-7,"teacher_disagreement_score":0.09625693,"about_ca_system_score_codex":0.00013360639,"about_ca_system_score_gemma":0.000077943456,"threshold_uncertainty_score":0.7656991},"labels":[],"label_agreement":null},{"id":"W4409793590","doi":"10.61091/jcmcc127a-230","title":"Research on optimizing vocal singing posture based on image recognition technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Singing; Speech recognition; Computer science; Image (mathematics); Artificial intelligence; Computer vision; Acoustics","score_opus":0.03555966998573063,"score_gpt":0.3526643690697723,"score_spread":0.31710469908404165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71377414,0.00038656758,0.22192368,0.017782457,0.032392062,0.0006780635,0.000002686238,0.0003303139,0.012730029],"genre_scores_gemma":[0.95216984,0.000013246534,0.04712409,0.00016509829,0.0004970668,0.000003907658,0.0000010342343,0.000015962161,0.000009751187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99752635,0.00022963322,0.0007675234,0.00034601954,0.0007013672,0.00042909622],"domain_scores_gemma":[0.9955318,0.0022963744,0.00049487076,0.00044750745,0.0011291452,0.000100316494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003151471,0.00024314957,0.00050661137,0.0016876102,0.0006356126,0.00030262483,0.0010250639,0.00038308772,0.000003973234],"category_scores_gemma":[0.0011913945,0.00022391033,0.000117407,0.0014937518,0.0001942654,0.00021151933,0.00032237815,0.0016256389,0.000008021863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078932644,0.0007239357,0.000040123905,0.000078931225,0.00004116875,0.000029855772,0.00021772018,0.0001255996,0.0007198746,0.98871076,0.00047276245,0.008760347],"study_design_scores_gemma":[0.0023686467,0.001465078,0.00007729535,0.0012039699,0.000024770412,0.000050884126,0.0005116076,0.024344467,0.005603109,0.9635347,0.0005902043,0.0002252645],"about_ca_topic_score_codex":0.0000022441127,"about_ca_topic_score_gemma":9.517181e-8,"teacher_disagreement_score":0.2383957,"about_ca_system_score_codex":0.00017620366,"about_ca_system_score_gemma":0.00045263744,"threshold_uncertainty_score":0.91307986},"labels":[],"label_agreement":null},{"id":"W4409793591","doi":"10.61091/jcmcc127a-192","title":"Design of a Smart Teaching Management Platform Integrating Artificial Intelligence Technology under the Perspective of Resource Sharing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Knowledge management; Computer science; Resource (disambiguation); Engineering management; Engineering; Systems engineering; Artificial intelligence","score_opus":0.03976864904864962,"score_gpt":0.3390311451933781,"score_spread":0.2992624961447285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6504262,0.0007749452,0.3393189,0.0013652135,0.0025479984,0.0010386617,9.556495e-7,0.000028948003,0.004498162],"genre_scores_gemma":[0.98906255,0.00003054001,0.010709353,0.0000174877,0.0001498391,0.000002823645,3.2298428e-7,0.00001313928,0.000013951902],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976622,0.00008799587,0.0011300663,0.00017844584,0.0006781119,0.00026322028],"domain_scores_gemma":[0.9971228,0.0012068878,0.00076062564,0.00026648754,0.0005403422,0.00010284509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002701013,0.00018439663,0.00070385454,0.0004462777,0.00021523269,0.000045273857,0.0003759858,0.00012926,0.0000055849914],"category_scores_gemma":[0.0015073809,0.00012156827,0.00013608672,0.0005051063,0.00023676509,0.000059262286,0.00034701568,0.00079995714,3.6124194e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041041925,0.00072491786,0.00017432834,0.0003173275,0.00052276056,0.000026212037,0.0010198681,0.00004716664,0.000570331,0.9865535,0.000023959023,0.009609246],"study_design_scores_gemma":[0.001635246,0.0015020119,0.00003153574,0.0022683586,0.00028095336,0.000048518534,0.016306475,0.009643375,0.0064971563,0.96167594,0.00002512949,0.00008527889],"about_ca_topic_score_codex":0.000020093474,"about_ca_topic_score_gemma":3.0678729e-7,"teacher_disagreement_score":0.3386363,"about_ca_system_score_codex":0.00016739628,"about_ca_system_score_gemma":0.00018672094,"threshold_uncertainty_score":0.495741},"labels":[],"label_agreement":null},{"id":"W4409793592","doi":"10.61091/jcmcc127a-157","title":"Design of Intelligent Management System for Underground Cable Tunnels and Integration of Robotic Inspection and Defect Recognition Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Line Inspection Robots","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Engineering; Computer science; Systems engineering; Construction engineering","score_opus":0.018122635608253956,"score_gpt":0.24478714324883621,"score_spread":0.22666450764058227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793592","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15336348,0.00052952813,0.83838356,0.000022831038,0.0070169927,0.00045786027,9.146741e-7,0.00005912822,0.00016567747],"genre_scores_gemma":[0.97901326,0.00015780334,0.020681279,0.0000011300049,0.00012219204,0.0000052028377,7.343145e-7,0.000016661295,0.0000017433553],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987019,0.00004229213,0.00085251295,0.00011627357,0.00015721282,0.00012986068],"domain_scores_gemma":[0.9985892,0.00039669554,0.00046208728,0.00009817581,0.00041422297,0.000039598108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078535016,0.00016105191,0.00053945906,0.00049775065,0.000092723,0.00004747926,0.00008984141,0.00011312649,3.8605148e-7],"category_scores_gemma":[0.00012737101,0.0001580408,0.00005241334,0.00037633115,0.00006201016,0.00010984844,0.000059672322,0.00017303877,8.439292e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026913392,0.00042814625,0.00009702515,0.0057152305,0.0007904593,0.0000048182155,0.0006737121,0.025008785,0.009950041,0.94758815,0.00012589332,0.009348584],"study_design_scores_gemma":[0.004344671,0.0014396055,0.00007322426,0.0030416048,0.0004799123,0.000087518914,0.0020257866,0.30349734,0.02699581,0.65775347,0.00001995656,0.00024112627],"about_ca_topic_score_codex":0.000005774803,"about_ca_topic_score_gemma":3.7114322e-7,"teacher_disagreement_score":0.8256498,"about_ca_system_score_codex":0.00012948923,"about_ca_system_score_gemma":0.000028516208,"threshold_uncertainty_score":0.6444717},"labels":[],"label_agreement":null},{"id":"W4409793593","doi":"10.61091/jcmcc127a-194","title":"Research on Network Data Security Integration Based on Blockchain Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Computer science; Computer security","score_opus":0.05217003173541059,"score_gpt":0.39316208542427517,"score_spread":0.3409920536888646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9472866,0.0007020305,0.00581112,0.010175978,0.015040477,0.0014953908,0.000009623801,0.00009484575,0.01938394],"genre_scores_gemma":[0.996869,0.00003031554,0.0017761256,0.00012568451,0.0011488193,0.0000034024106,0.0000076905735,0.000018557412,0.000020353458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99671674,0.00026153066,0.0007988977,0.0003146166,0.0014291166,0.00047911974],"domain_scores_gemma":[0.9954011,0.0024149688,0.00032799717,0.00068671507,0.00088356226,0.0002856914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005075147,0.00021755806,0.00071029767,0.0007653987,0.0003497608,0.00010309834,0.00053065387,0.00027384944,0.0000121831745],"category_scores_gemma":[0.0048620594,0.00016168895,0.000092561895,0.0011593226,0.00019072898,0.000041876654,0.00035112773,0.0016459982,0.0000054495454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011916048,0.0024790305,0.00036235503,0.00023539927,0.00018758012,0.00016801577,0.00007652515,0.00004860151,0.00005760196,0.9824215,0.0051033744,0.0076684006],"study_design_scores_gemma":[0.0105580855,0.005600786,0.000117536125,0.003924403,0.00012523672,0.000031917833,0.00032318023,0.070166424,0.00073330925,0.9065922,0.0016824685,0.00014446146],"about_ca_topic_score_codex":0.0000070187225,"about_ca_topic_score_gemma":5.9274464e-7,"teacher_disagreement_score":0.07582932,"about_ca_system_score_codex":0.00019470813,"about_ca_system_score_gemma":0.00074756384,"threshold_uncertainty_score":0.7151135},"labels":[],"label_agreement":null},{"id":"W4409793594","doi":"10.61091/jcmcc127a-184","title":"Research on point cloud data optimization and feature extraction during 3D reconstruction of high-speed rail wheelsets","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Point cloud; Extraction (chemistry); Feature (linguistics); Computer science; Cloud computing; Point (geometry); Feature extraction; Data extraction; Artificial intelligence; Data mining; Pattern recognition (psychology); Mathematics; Geometry","score_opus":0.01803735622393428,"score_gpt":0.28217851783827574,"score_spread":0.2641411616143415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789328,0.00043205186,0.0056161005,0.00018091142,0.0138091445,0.00024663628,0.0000046609803,0.000058193324,0.0007194824],"genre_scores_gemma":[0.99386305,0.00016355467,0.005289306,0.0000020443947,0.00065155776,6.907491e-7,0.0000025005143,0.000021205129,0.0000061187297],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983265,0.00009905615,0.0007628891,0.00019455653,0.0003870424,0.00022998308],"domain_scores_gemma":[0.99836266,0.0005133793,0.00033571658,0.00032262376,0.00038703883,0.000078587014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015764495,0.00017663543,0.000552435,0.0004066783,0.0001902095,0.00011277183,0.00028424975,0.0002807345,0.000003741406],"category_scores_gemma":[0.0003473093,0.00016260392,0.00004250185,0.00041284258,0.00009744354,0.00023333864,0.00020973523,0.0007705847,3.854564e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003946548,0.0006075778,0.0001562851,0.002446497,0.00048016847,0.000030698957,0.0005204121,0.024553748,0.008386727,0.9496479,0.0011153743,0.011659956],"study_design_scores_gemma":[0.014619793,0.0016833231,0.0006847849,0.0058307163,0.00030712952,0.00055140536,0.0021899787,0.58064336,0.01754953,0.37434834,0.0008128744,0.00077876664],"about_ca_topic_score_codex":0.0000107442465,"about_ca_topic_score_gemma":5.27783e-7,"teacher_disagreement_score":0.57529956,"about_ca_system_score_codex":0.00010284795,"about_ca_system_score_gemma":0.00004336272,"threshold_uncertainty_score":0.6630795},"labels":[],"label_agreement":null},{"id":"W4409793595","doi":"10.61091/jcmcc127a-155","title":"Research on Innovation Strategy and Practice of Environmental Art Design for Digital Transformation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Digital transformation; Business; Architectural engineering; Computer science; Engineering; Chemistry; World Wide Web","score_opus":0.05662764709424656,"score_gpt":0.35313160477120337,"score_spread":0.2965039576769568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793595","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41161293,0.00022855551,0.5714383,0.0006113614,0.006178572,0.0009401924,0.0000065771865,0.0000293639,0.008954166],"genre_scores_gemma":[0.99053204,0.00002844098,0.0092517445,0.00001776047,0.00014458828,0.000002933308,0.0000012935824,0.000008045554,0.000013137194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981021,0.00010650606,0.0008560475,0.00015764698,0.0005742712,0.00020340881],"domain_scores_gemma":[0.99542755,0.0033436688,0.0005227222,0.00014386518,0.0004968524,0.00006536182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030472623,0.00014175368,0.0003479046,0.00034933223,0.00016922466,0.00041373298,0.000314851,0.00009166333,4.015285e-7],"category_scores_gemma":[0.00072046136,0.00012548649,0.000053845994,0.00050904497,0.00009415162,0.0010206582,0.00012157588,0.0002579401,8.5357993e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019579857,0.0005924796,0.0000036196966,0.00015517103,0.00005417392,0.0000023080831,0.0006271157,0.000032841883,0.00054465,0.9738749,0.00015184781,0.023765095],"study_design_scores_gemma":[0.003776129,0.0039728545,0.000050595856,0.00060943817,0.00003456631,0.000042272583,0.0012292478,0.015907153,0.003652272,0.96732134,0.003236537,0.00016759078],"about_ca_topic_score_codex":3.06812e-7,"about_ca_topic_score_gemma":5.7889102e-9,"teacher_disagreement_score":0.5789191,"about_ca_system_score_codex":0.00005365328,"about_ca_system_score_gemma":0.00012737472,"threshold_uncertainty_score":0.51171905},"labels":[],"label_agreement":null},{"id":"W4409793597","doi":"10.61091/jcmcc127a-168","title":"Environmental Impact Assessment and Control Technologies for Electromagnetic Fields in High Voltage AC Transmission Lines","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"High-Voltage Power Transmission Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electric power transmission; Electromagnetic field; Environmental impact assessment; Electrical engineering; Voltage; Transmission (telecommunications); Electromagnetic compatibility; Electronic engineering; Materials science; Environmental science; Engineering; Physics; Political science","score_opus":0.0049103683229045954,"score_gpt":0.2452849916252029,"score_spread":0.2403746233022983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85386336,0.0016745933,0.14029256,0.00011300779,0.003434702,0.00049375935,0.00000465504,0.000075122436,0.00004823073],"genre_scores_gemma":[0.9962925,0.00019499709,0.0032978675,0.0000051506127,0.00016852014,0.000008314861,0.0000011186617,0.000027922595,0.0000036289039],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99825037,0.000043458396,0.00095380563,0.00016779864,0.00027406352,0.00031052632],"domain_scores_gemma":[0.9987937,0.0006832496,0.00022572589,0.00014580922,0.00006325518,0.0000882155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007807091,0.00028480004,0.0007740198,0.000307219,0.0001133549,0.00012045114,0.00022979702,0.0002554683,0.0000032439732],"category_scores_gemma":[0.0000668086,0.0002376353,0.00013146673,0.00018649647,0.000051732586,0.00012257668,0.000040017218,0.00046841818,1.5329614e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012826371,0.0031890515,0.013183139,0.0072269645,0.0018507096,0.00017468826,0.0053588734,0.0058712107,0.43417338,0.43229628,0.0015593478,0.09383372],"study_design_scores_gemma":[0.043501556,0.004598325,0.00836382,0.0033476858,0.00051356247,0.00014010187,0.0012381742,0.29842192,0.016194755,0.61994475,0.002417472,0.0013179049],"about_ca_topic_score_codex":0.0000048500456,"about_ca_topic_score_gemma":2.610566e-7,"teacher_disagreement_score":0.4179786,"about_ca_system_score_codex":0.00013996675,"about_ca_system_score_gemma":0.00006944763,"threshold_uncertainty_score":0.96904856},"labels":[],"label_agreement":null},{"id":"W4409793598","doi":"10.61091/jcmcc127a-202","title":"Multimedia Technology Integration Practice of Red Culture Education and Expansion of Significance of Civic and Political Education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Jinling Institute of Technology; Jiangsu University","keywords":"Politics; Political education; Sociology; Political science; Pedagogy; Engineering ethics; Engineering; Ideology; Law","score_opus":0.010930456880157785,"score_gpt":0.3303234616559051,"score_spread":0.3193930047757473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98496026,0.00093164557,0.0009514123,0.0024542469,0.005330542,0.00034166733,0.0000013709312,0.000009553307,0.0050193225],"genre_scores_gemma":[0.9917898,0.00012570347,0.007709024,0.000030160414,0.0003184164,0.0000023747182,0.0000010471101,0.000004448989,0.000019012174],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984327,0.0001989149,0.00079839997,0.00011816546,0.00029637222,0.000155463],"domain_scores_gemma":[0.99633074,0.0010639916,0.0009130875,0.00009563308,0.00149231,0.00010422351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011348807,0.00010911437,0.00043743843,0.00022538562,0.00013020457,0.00002941042,0.00013451015,0.0002202866,0.000002631776],"category_scores_gemma":[0.0058184247,0.00009233344,0.000046098558,0.00038397248,0.00044152094,0.00017345935,0.00006283508,0.00024191647,6.053431e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005235323,0.0007481596,0.00048990006,0.00025386875,0.00002210031,1.3329583e-7,0.004000834,2.7771065e-7,0.0028181716,0.9789785,0.0000787855,0.012556906],"study_design_scores_gemma":[0.00080330874,0.00048431326,0.0007216637,0.0008341115,0.00013270858,0.000007938252,0.022307012,0.00018245843,0.0056019025,0.96798265,0.000845191,0.00009676454],"about_ca_topic_score_codex":0.00019051424,"about_ca_topic_score_gemma":0.0000015233167,"teacher_disagreement_score":0.018306179,"about_ca_system_score_codex":0.00005910382,"about_ca_system_score_gemma":0.0008963013,"threshold_uncertainty_score":0.6965618},"labels":[],"label_agreement":null},{"id":"W4409793599","doi":"10.61091/jcmcc127a-219","title":"Technical research on real-time multimodal interaction architecture based on AI big language model for dynamic adjustment of semantic features in intelligent customer service robots","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Architecture; Robot; Service (business); Artificial intelligence; Human–computer interaction; Customer service; Natural language processing","score_opus":0.022952358404257023,"score_gpt":0.34281957535121216,"score_spread":0.31986721694695514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793599","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20138884,0.00015040155,0.7868984,0.0011467129,0.008292415,0.001090845,0.0000040961017,0.00007484645,0.00095347455],"genre_scores_gemma":[0.9856665,0.000017657268,0.013832067,0.00011247579,0.00032609564,0.0000080163845,0.0000023267737,0.000023005268,0.000011853242],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99710846,0.00030760106,0.0010053597,0.0003866288,0.0007690015,0.00042293512],"domain_scores_gemma":[0.99505675,0.00292308,0.00056974276,0.0003975009,0.0009392973,0.00011364568],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027416884,0.00029848373,0.00074091303,0.0010015175,0.0001857742,0.00014655237,0.0007695412,0.00022338107,9.3358886e-7],"category_scores_gemma":[0.000521936,0.00025851096,0.00019503523,0.0009780974,0.00006244695,0.000080568476,0.00036440403,0.0011636545,0.0000013143338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018356369,0.004487984,0.000029427803,0.0011303909,0.00014160234,0.000036619494,0.0031744214,0.40321106,0.0048141377,0.48276955,0.00075789,0.097611286],"study_design_scores_gemma":[0.0029766716,0.0008330234,0.00013822567,0.0021525368,0.000032116648,0.000010910848,0.00011283307,0.88830644,0.0009951039,0.10424212,0.000011403856,0.00018860282],"about_ca_topic_score_codex":0.000022786442,"about_ca_topic_score_gemma":0.000005944635,"teacher_disagreement_score":0.7842777,"about_ca_system_score_codex":0.00027453527,"about_ca_system_score_gemma":0.0002853505,"threshold_uncertainty_score":0.9999867},"labels":[],"label_agreement":null},{"id":"W4409793600","doi":"10.61091/jcmcc127a-222","title":"Constructing a big data modular evaluation system for college students’ innovation and entrepreneurship education in universities: enhancing evaluation efficiency and accuracy","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Government of Jiangsu Province","keywords":"Modular design; Entrepreneurship education; Entrepreneurship; Big data; Mathematics education; Engineering management; Higher education; Computer science; Knowledge management; Business; Engineering; Psychology; Economic growth; Economics; Data mining; Finance","score_opus":0.03418451509631157,"score_gpt":0.33510082942922276,"score_spread":0.3009163143329112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71625996,0.00041797673,0.27475715,0.00011484047,0.007527991,0.00075466064,0.0000019910017,0.00003072924,0.00013472234],"genre_scores_gemma":[0.9798392,0.000015869253,0.01992526,0.000010494857,0.00018924368,0.0000069675807,0.0000036907702,0.00000764191,0.0000016370188],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976718,0.00017885306,0.0009356447,0.00035897794,0.00065693166,0.00019783371],"domain_scores_gemma":[0.995844,0.001440828,0.0010329786,0.00042396734,0.0012198597,0.000038341226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055970196,0.00017802005,0.00041305192,0.0006246046,0.00026355634,0.00027055564,0.00077662745,0.00015535795,1.7674601e-7],"category_scores_gemma":[0.0029903972,0.00018504736,0.000024238037,0.0008338646,0.000068514826,0.0005877688,0.00087798235,0.00028138273,3.959601e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024474259,0.00014849316,0.0006966139,0.00030856795,0.000033921886,0.000001301431,0.0007290787,0.00009935463,0.00022874435,0.92806107,0.000009626554,0.06965876],"study_design_scores_gemma":[0.0049525253,0.00022746834,0.0002077627,0.0012207761,0.00012637394,0.000049113136,0.009506699,0.3845252,0.0008875031,0.59807366,0.000028942108,0.0001939714],"about_ca_topic_score_codex":0.000009234746,"about_ca_topic_score_gemma":0.0000021933274,"teacher_disagreement_score":0.38442585,"about_ca_system_score_codex":0.00050631503,"about_ca_system_score_gemma":0.0011062406,"threshold_uncertainty_score":0.75460124},"labels":[],"label_agreement":null},{"id":"W4409793601","doi":"10.61091/jcmcc127a-210","title":"Research on the Application of AI Intelligent Machines to Enhance the Quality of Life and Happiness of the Elderly in the Context of Great Health","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Artificial Intelligence Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Happiness; Context (archaeology); Quality of life (healthcare); Quality (philosophy); Gerontology; Psychology; Sociology; Computer science; Medicine; Social psychology; History; Epistemology; Psychotherapist; Philosophy","score_opus":0.06763931086057441,"score_gpt":0.4160333273898389,"score_spread":0.3483940165292645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88560724,0.00032487375,0.09953045,0.012074248,0.0012219421,0.0010664443,0.000002675997,0.00000410462,0.00016803389],"genre_scores_gemma":[0.9992697,0.000030428317,0.00044636757,0.00014944219,0.00008524944,0.000011493659,1.0725669e-7,0.000005409173,0.0000018064412],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963106,0.0007960579,0.0016755518,0.00017385463,0.0008590256,0.0001849386],"domain_scores_gemma":[0.99198186,0.004713911,0.0014552593,0.0007258349,0.0010749013,0.00004822593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009008932,0.00013566723,0.000558087,0.00016358726,0.00027984878,0.00006396303,0.0017702545,0.00006313168,5.641009e-7],"category_scores_gemma":[0.0012974553,0.00006854536,0.000109299865,0.0013132769,0.00035534354,0.000071309434,0.00046140837,0.0005153139,2.2793445e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005018721,0.00035123987,0.0003700025,0.00017873957,0.00002882706,5.8044066e-8,0.0058059143,0.00009845806,0.0008995567,0.98021036,0.000115625815,0.011891048],"study_design_scores_gemma":[0.0004099793,0.000774943,0.0017591224,0.0006341911,0.000015388283,0.0000024210403,0.004404015,0.011316808,0.022788078,0.9575825,0.00021842685,0.00009412988],"about_ca_topic_score_codex":0.00039631664,"about_ca_topic_score_gemma":0.000031734056,"teacher_disagreement_score":0.11366247,"about_ca_system_score_codex":0.00004282151,"about_ca_system_score_gemma":0.00032939005,"threshold_uncertainty_score":0.32896027},"labels":[],"label_agreement":null},{"id":"W4409793602","doi":"10.61091/jcmcc127a-228","title":"Research on the application of BP algorithm incorporating GWO in distributed energy storage scheduling optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Optimization algorithm; Scheduling (production processes); Energy storage; Distributed computing; Algorithm; Mathematical optimization; Mathematics; Physics","score_opus":0.01472238303460382,"score_gpt":0.28619934434469035,"score_spread":0.27147696131008653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793602","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05669407,0.00019436334,0.94063383,0.00012791739,0.0016691394,0.00023111477,0.0000045975466,0.000027819984,0.00041716063],"genre_scores_gemma":[0.96962607,0.0000436863,0.029975062,0.00000763847,0.00031050976,0.00001099078,0.00000437829,0.00002048119,0.0000011962227],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982374,0.00009561758,0.0009010401,0.00013489566,0.0004210373,0.00021004843],"domain_scores_gemma":[0.99771863,0.0011045947,0.00040152093,0.0002199003,0.0005011265,0.000054251566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016738571,0.00016159417,0.00039968966,0.0003087133,0.00021751242,0.000076311146,0.0003131282,0.00011745612,0.0000010417256],"category_scores_gemma":[0.00020194204,0.00013450756,0.00006457178,0.0010930691,0.0000845487,0.00010485112,0.00010339293,0.0005533771,2.4718955e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010000048,0.00016399306,0.000013381906,0.00006683331,0.000028131048,0.0000013899341,0.000102264166,0.29920366,0.00025973536,0.6938718,0.000030546555,0.0062482315],"study_design_scores_gemma":[0.0007699678,0.000077651326,0.00001802914,0.00028265032,0.000012025839,0.0000024397534,0.00041415272,0.708239,0.0010295105,0.28893465,0.00013564205,0.00008425546],"about_ca_topic_score_codex":0.000012319185,"about_ca_topic_score_gemma":5.846859e-7,"teacher_disagreement_score":0.912932,"about_ca_system_score_codex":0.00014487257,"about_ca_system_score_gemma":0.00007492816,"threshold_uncertainty_score":0.5485059},"labels":[],"label_agreement":null},{"id":"W4409793603","doi":"10.61091/jcmcc127a-170","title":"Optimisation of e-commerce personalised recommendation algorithms driven by neural network models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Information Systems and Technology Applications","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial neural network; E-commerce; Algorithm; Artificial intelligence; Data mining; Machine learning; World Wide Web","score_opus":0.015905990400725316,"score_gpt":0.24503809556179545,"score_spread":0.22913210516107013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87779003,0.00025162828,0.090034135,0.0023095824,0.013819598,0.0008753442,0.00000509052,0.00012663715,0.014787949],"genre_scores_gemma":[0.9963886,0.000010917285,0.0025626214,0.00013985841,0.00085421256,0.0000045726583,0.000014690998,0.000014319977,0.0000101725855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982097,0.00002355138,0.0011621853,0.00012606717,0.00028153212,0.00019696739],"domain_scores_gemma":[0.99711865,0.00022081526,0.0017363194,0.0001543172,0.0007510239,0.00001889321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010939478,0.00018289099,0.000509226,0.00026999577,0.00030033954,0.00018176103,0.00029858202,0.00016360218,0.000008097955],"category_scores_gemma":[0.00012404931,0.00017310906,0.000120999786,0.00053753826,0.00006521578,0.00075467664,0.0001676917,0.00028784433,0.0000013209352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003660792,0.00018459851,0.00027855486,0.00021111537,0.000082072074,3.8429735e-7,0.00017774962,0.0012871638,0.00013934633,0.9890644,0.004307092,0.0042309184],"study_design_scores_gemma":[0.0035402356,0.00007559422,0.00011677691,0.0003211119,0.00015349942,0.000008719022,0.0007829348,0.41122162,0.00012795851,0.5770371,0.0063782493,0.0002362171],"about_ca_topic_score_codex":0.000028734212,"about_ca_topic_score_gemma":3.5014932e-7,"teacher_disagreement_score":0.4120273,"about_ca_system_score_codex":0.00004729285,"about_ca_system_score_gemma":0.000043365315,"threshold_uncertainty_score":0.70591825},"labels":[],"label_agreement":null},{"id":"W4409793607","doi":"10.61091/jcmcc127a-206","title":"Study on Automatic Monitoring of Electricity Consumption for Maintenance of Low-Voltage Intelligent Distribution Boxes in Power Systems","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Southern Power Grid","keywords":"Electricity; Power consumption; Low voltage; Electric power distribution; Voltage; Automotive engineering; Power (physics); Consumption (sociology); Electrical engineering; Reliability engineering; Process engineering; Environmental science; Computer science; Engineering; Physics","score_opus":0.014066803846032412,"score_gpt":0.261636770100767,"score_spread":0.24756996625473462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9555201,0.00050221186,0.03314414,0.000004302943,0.010099399,0.00063043984,0.000005868041,0.000043922464,0.00004959344],"genre_scores_gemma":[0.9996876,0.000030666633,0.00018689354,3.268616e-7,0.00006949275,0.000008436364,5.565156e-7,0.000014861582,0.0000011571057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979013,0.000046012792,0.0014092895,0.000117893,0.00030778584,0.00021767755],"domain_scores_gemma":[0.99811316,0.0006588226,0.00069325056,0.00018330383,0.00031609955,0.000035367564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001273492,0.00019805891,0.00083452807,0.00030100055,0.00005235108,0.000046145356,0.00024648017,0.00013518792,2.3803493e-7],"category_scores_gemma":[0.0004953511,0.00017644378,0.000108296,0.00032989998,0.000040112995,0.00007893251,0.00006039129,0.00027420453,1.3647661e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023335752,0.00285718,0.026544455,0.006751217,0.00061234116,0.00002013579,0.0026351453,0.003406649,0.0057969294,0.9492515,0.00018367475,0.0017074316],"study_design_scores_gemma":[0.03622813,0.013151471,0.042293448,0.04371213,0.00072435074,0.000081730155,0.023467211,0.23116586,0.16007279,0.44684514,0.0002713081,0.0019864212],"about_ca_topic_score_codex":0.000007664323,"about_ca_topic_score_gemma":2.2073534e-7,"teacher_disagreement_score":0.50240636,"about_ca_system_score_codex":0.00018393775,"about_ca_system_score_gemma":0.000042971795,"threshold_uncertainty_score":0.7195169},"labels":[],"label_agreement":null},{"id":"W4409793610","doi":"10.61091/jcmcc127a-223","title":"Research on Linear Programming Optimization Strategies for Constructing a New Ecosystem of Industry-Education Integration in Higher Vocational Colleges in Hunan Province under the Strategy of Rejuvenating the Country through Science and Education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Linear programming; Ecosystem; Engineering management; Computer science; Business; Economic growth; Economics; Engineering; Ecology; Biology","score_opus":0.04064385671376691,"score_gpt":0.34979294810647726,"score_spread":0.30914909139271035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99052244,0.00008690173,0.0016060135,0.0013722294,0.0021472403,0.00085289794,0.000001475562,0.0000032332564,0.0034075736],"genre_scores_gemma":[0.99206626,0.000008948959,0.0076919612,0.00002468737,0.00017038238,0.0000146776265,0.000001453688,0.000006373213,0.000015262922],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99814147,0.00009672458,0.0008493508,0.0001516695,0.00060317514,0.00015762445],"domain_scores_gemma":[0.9974203,0.0009090311,0.0007787947,0.0001239023,0.00073873135,0.000029224902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037611842,0.00010460401,0.00021844564,0.00022439126,0.00030760872,0.00014162526,0.00027167564,0.00010258161,0.000003302371],"category_scores_gemma":[0.00067088293,0.0000700695,0.000022034154,0.0014581066,0.00032062497,0.00043303613,0.00008790053,0.00044252136,4.2726327e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030699575,0.0003334252,0.0005069561,0.00009170522,0.000006963655,3.6806313e-8,0.0010294181,0.0065967385,0.0003460653,0.9815819,0.00006543953,0.009410627],"study_design_scores_gemma":[0.0018819077,0.0005508857,0.008074758,0.0026404227,0.000030804105,0.000010960389,0.089525476,0.021954853,0.0014619265,0.87326366,0.0004224119,0.00018194086],"about_ca_topic_score_codex":0.00017944026,"about_ca_topic_score_gemma":0.000030395915,"teacher_disagreement_score":0.10831827,"about_ca_system_score_codex":0.00034200208,"about_ca_system_score_gemma":0.0030749992,"threshold_uncertainty_score":0.5454917},"labels":[],"label_agreement":null},{"id":"W4409793612","doi":"10.61091/jcmcc127a-196","title":"Practical Exploration of University English Teaching Reform in the Information Technology Era Based on Cognitive Mapping Construction","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cognition; Cognitive map; Mathematics education; Computer science; Engineering management; Engineering; Psychology; Neuroscience","score_opus":0.02131941422954203,"score_gpt":0.28923073948423345,"score_spread":0.2679113252546914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793612","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30791333,0.00002557747,0.670914,0.0056378646,0.007954915,0.00036218745,0.0000012856782,0.000054503766,0.0071363067],"genre_scores_gemma":[0.9684207,0.000008808262,0.03139544,0.00006212504,0.00010772242,8.9772584e-7,0.0000011118589,0.0000023941957,8.123232e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986306,0.00022209642,0.0006027955,0.000105163024,0.0003050731,0.00013426361],"domain_scores_gemma":[0.9969778,0.0014436858,0.0007823124,0.0001744353,0.0005978007,0.000023949335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023469024,0.000115969466,0.00028262625,0.0007909303,0.00022351142,0.00007944514,0.00042458938,0.00018113351,5.1789783e-7],"category_scores_gemma":[0.0018311501,0.00009726433,0.000054812954,0.00073448155,0.00011443618,0.0009115948,0.00011312198,0.00079070195,3.661415e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058302263,0.00025845497,0.0002563697,0.00006308167,0.000019286388,0.0000034749019,0.0024687182,0.00002809959,0.000010464765,0.9928279,0.000027482149,0.0039783544],"study_design_scores_gemma":[0.0033766206,0.00061286596,0.00051178964,0.0008551493,0.00003709352,0.000036450023,0.021052586,0.022036064,0.0004520596,0.95011437,0.00076488004,0.00015005011],"about_ca_topic_score_codex":0.000006072514,"about_ca_topic_score_gemma":3.3735617e-7,"teacher_disagreement_score":0.6605073,"about_ca_system_score_codex":0.00013885487,"about_ca_system_score_gemma":0.00035480587,"threshold_uncertainty_score":0.39663243},"labels":[],"label_agreement":null},{"id":"W4409793613","doi":"10.61091/jcmcc127a-159","title":"Research on Resource Optimization Path of Agricultural Water-saving Irrigation Management Supported by Intelligent Algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Agriculture; Irrigation; Resource (disambiguation); Computer science; Water resources; Water resource management; Agricultural engineering; Algorithm; Operations research; Environmental science; Engineering; Geography; Agronomy; Ecology; Computer network","score_opus":0.023826406649748794,"score_gpt":0.29766531355901676,"score_spread":0.273838906909268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9413412,0.00021751787,0.013917404,0.0013783082,0.009093269,0.0008898521,0.0000021610724,0.000036125453,0.033124138],"genre_scores_gemma":[0.9962531,0.0001518086,0.0030500626,0.000015125236,0.0003185254,0.0000028403138,0.000007556021,0.000010715626,0.00019031038],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997122,0.00029511037,0.00084959785,0.00017583134,0.0012333564,0.00032408824],"domain_scores_gemma":[0.99851227,0.00044409905,0.00042691437,0.000118718905,0.000385381,0.000112604044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038857192,0.00015571082,0.0003675858,0.00027369277,0.00057214237,0.00014616002,0.00033885185,0.00013108211,0.000012459491],"category_scores_gemma":[0.00012704618,0.00011719019,0.000096696196,0.00039593817,0.00016873746,0.00013075754,0.00017965316,0.0003236176,0.0000015639786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008665339,0.00077707466,0.00009811946,0.00017495327,0.0001707451,0.0000069085527,0.006394419,0.002544804,0.0007114616,0.9831677,0.0026414962,0.0032256653],"study_design_scores_gemma":[0.007324093,0.0016721345,0.001982518,0.003729847,0.00027990583,0.000008743567,0.04725504,0.0058533684,0.016513688,0.88808763,0.026418876,0.0008741484],"about_ca_topic_score_codex":0.000022425113,"about_ca_topic_score_gemma":2.9685629e-7,"teacher_disagreement_score":0.09508006,"about_ca_system_score_codex":0.00027394915,"about_ca_system_score_gemma":0.00006897864,"threshold_uncertainty_score":0.47788772},"labels":[],"label_agreement":null},{"id":"W4409793614","doi":"10.61091/jcmcc127a-195","title":"Skillful Analysis of English Language Lexical Processing and Language Cognitive Learning Assisted by Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Cognition; Linguistics; Natural language processing; Artificial intelligence; Lexical analysis; Lexical choice; Psychology; Language acquisition; Cognitive science; Lexical item","score_opus":0.015869733984938898,"score_gpt":0.3196434214192852,"score_spread":0.3037736874343463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87484896,0.0012604013,0.120387234,0.00013037151,0.002770916,0.0001048796,0.000002145434,0.000045262197,0.00044983733],"genre_scores_gemma":[0.9959778,0.000024645213,0.0037193256,0.000021645998,0.0002342368,0.0000012401925,0.0000029564085,0.0000075616786,0.0000105674335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99818057,0.00014170753,0.0008780192,0.00023616405,0.00035058227,0.0002129883],"domain_scores_gemma":[0.9968178,0.0013074364,0.000828543,0.00014779998,0.00081221317,0.000086192464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012552252,0.00018524245,0.00068280514,0.0005303458,0.00022318169,0.00017777464,0.00043355193,0.00018520649,0.0000033354504],"category_scores_gemma":[0.0021431043,0.0001731774,0.00012708957,0.0012187914,0.00016796535,0.00021389115,0.00027200743,0.0005557203,2.3268655e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053693486,0.00065238244,0.0008151805,0.0001752551,0.0005681854,0.000011219066,0.019572916,0.00002771405,0.0012430176,0.9154995,0.000026033786,0.061354898],"study_design_scores_gemma":[0.0034913726,0.0017058244,0.0023152148,0.001956392,0.002560919,0.000064435684,0.045044687,0.10695452,0.03344764,0.80112207,0.00028079783,0.001056104],"about_ca_topic_score_codex":0.000010870514,"about_ca_topic_score_gemma":8.197885e-7,"teacher_disagreement_score":0.12112887,"about_ca_system_score_codex":0.000035167286,"about_ca_system_score_gemma":0.00017938032,"threshold_uncertainty_score":0.70619696},"labels":[],"label_agreement":null},{"id":"W4409793615","doi":"10.61091/jcmcc127a-251","title":"Discussion on the Intermingling of Artistic Expression and Technical Application of Numerical Simulation Methods in Visual Communication Design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Expression (computer science); Visual communication; Computer science; Communication design; Engineering drawing; Multimedia; Computer graphics (images); Engineering; Programming language","score_opus":0.026405239101188922,"score_gpt":0.3675170005918812,"score_spread":0.3411117614906923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12069382,0.00008484853,0.8778297,0.00017181569,0.00086750573,0.00023938427,1.5353613e-7,0.000010287989,0.00010253695],"genre_scores_gemma":[0.93560565,0.000010049288,0.0643267,0.000007909963,0.000039977964,0.0000028858522,2.3277912e-7,0.0000059409695,6.6260395e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981173,0.00033318994,0.0009769173,0.00014217626,0.00031194402,0.00011844801],"domain_scores_gemma":[0.9948132,0.0038131294,0.00085334684,0.0002453475,0.00022638678,0.000048591595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002358576,0.00013118425,0.00044012998,0.00016808411,0.00009558102,0.00007443202,0.00044504646,0.00008908405,2.6492035e-7],"category_scores_gemma":[0.000996464,0.00008094532,0.000060702496,0.00040242876,0.000087888104,0.00019378486,0.00037225708,0.00027976648,1.0165637e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010040996,0.0007695057,0.00021833592,0.00017393273,0.000020289868,0.0000010614768,0.0009015296,0.001127649,0.010931895,0.9519254,0.000008879159,0.033821095],"study_design_scores_gemma":[0.0010227938,0.000560522,0.0003756377,0.0013994495,0.000020573423,0.0000050980448,0.00014574183,0.49376842,0.011036627,0.49155968,0.000017555956,0.00008787956],"about_ca_topic_score_codex":0.0000018754821,"about_ca_topic_score_gemma":3.6317214e-8,"teacher_disagreement_score":0.8149118,"about_ca_system_score_codex":0.00003826671,"about_ca_system_score_gemma":0.000055154887,"threshold_uncertainty_score":0.33008546},"labels":[],"label_agreement":null},{"id":"W4409793616","doi":"10.61091/jcmcc127a-248","title":"Personalized ceramic artwork design innovation and process parameter optimization based on 3D printing technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"3D printing; Ceramic; Process (computing); Process engineering; Three dimensional printing; Manufacturing engineering; Process optimization; Computer science; Engineering drawing; Engineering; Materials science; Mechanical engineering; Metallurgy; Chemical engineering","score_opus":0.01755183004380243,"score_gpt":0.28099934516021824,"score_spread":0.2634475151164158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793616","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17581627,0.00007094599,0.8181167,0.00046872147,0.0046374267,0.00028763272,1.8475362e-7,0.00006818098,0.00053388736],"genre_scores_gemma":[0.9057678,0.0000066094863,0.093960576,0.00008088495,0.00016140839,0.000003991464,4.791447e-7,0.000012813489,0.000005458897],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99812174,0.00008445899,0.00083807384,0.00026414747,0.00043396332,0.000257628],"domain_scores_gemma":[0.99739796,0.00089473143,0.00074762484,0.0002046307,0.00068565935,0.00006939368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012749367,0.00023198739,0.00049502397,0.0005602203,0.00024073201,0.0004562164,0.0004265122,0.00015922975,0.0000010816149],"category_scores_gemma":[0.0009122955,0.00020460981,0.00005254259,0.0013559991,0.00009747535,0.00035334265,0.00017608266,0.00036915348,5.692343e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007279805,0.00038670268,0.00019424746,0.00019734571,0.000051428953,0.0000101465375,0.00032695624,0.006036053,0.00006865633,0.98238987,0.000023771292,0.010242027],"study_design_scores_gemma":[0.0022311592,0.00058222783,0.000017251446,0.00077773834,0.000027170943,0.000015011545,0.00006844998,0.576054,0.00059116527,0.41942683,0.00005443706,0.00015457298],"about_ca_topic_score_codex":3.4917772e-7,"about_ca_topic_score_gemma":6.987872e-9,"teacher_disagreement_score":0.7299515,"about_ca_system_score_codex":0.000057000943,"about_ca_system_score_gemma":0.00019510632,"threshold_uncertainty_score":0.8343746},"labels":[],"label_agreement":null},{"id":"W4409793617","doi":"10.61091/jcmcc127a-181","title":"The Design of Smart Wearable Devices and Real-Time Data Feedback in Athletic Performance Enhancement in Athletic Training","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wearable computer; Athletic training; Computer science; Training (meteorology); Wearable technology; Performance enhancement; Human–computer interaction; Physical medicine and rehabilitation; Simulation; Medicine; Physical therapy; Embedded system","score_opus":0.029390335424519604,"score_gpt":0.25806830318135726,"score_spread":0.22867796775683766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99409837,0.00039692727,0.00072713697,0.0008522701,0.0020529332,0.0003191117,3.281443e-7,0.000015532542,0.0015374074],"genre_scores_gemma":[0.9980638,0.00024441243,0.0014083988,0.000046889007,0.00020779327,0.0000031628315,0.0000012073267,0.000013574088,0.000010754742],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980419,0.000043240743,0.00115163,0.00019142313,0.0002836521,0.00028812676],"domain_scores_gemma":[0.99775267,0.00078996347,0.0008701594,0.00031371854,0.0002603113,0.000013185246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034020026,0.00019032108,0.0005573577,0.000422937,0.00026091587,0.0002066774,0.00062799174,0.00011656958,0.0000033785486],"category_scores_gemma":[0.00049645983,0.00015435983,0.000033107477,0.0008484081,0.00017322967,0.00045006283,0.00051769515,0.0003833258,0.0000017100671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022225495,0.00064001867,0.012624335,0.0008947353,0.00012744412,0.000012828302,0.00065108493,0.00007671252,0.0012405359,0.9673068,0.00037221608,0.015831018],"study_design_scores_gemma":[0.011116605,0.0004647093,0.0094068665,0.0067900764,0.00028884804,0.000023475446,0.003723928,0.20602071,0.00046537857,0.7585337,0.002513913,0.0006517666],"about_ca_topic_score_codex":0.00007189853,"about_ca_topic_score_gemma":0.000007846983,"teacher_disagreement_score":0.2087731,"about_ca_system_score_codex":0.00004627099,"about_ca_system_score_gemma":0.00010293116,"threshold_uncertainty_score":0.6294611},"labels":[],"label_agreement":null},{"id":"W4409793618","doi":"10.61091/jcmcc127a-237","title":"The Applicability of Numerical Methods in the Quantitative Study of Syntactic Structure of Chinese Language and Literature","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Research in Science and Engineering","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Linguistics; Computer science; Natural language processing; Philosophy","score_opus":0.02121537499215438,"score_gpt":0.4090056869924323,"score_spread":0.3877903120002779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853979,0.0005892521,0.012551851,0.00004568433,0.0009826927,0.00036951154,0.0000017341904,0.0000032952858,0.000058087688],"genre_scores_gemma":[0.9789063,0.000023232637,0.020997696,0.000001569344,0.00006168134,0.000001444593,9.243515e-8,0.0000073303536,7.036706e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977621,0.00039537917,0.0010387336,0.00012094744,0.00051497295,0.00016786507],"domain_scores_gemma":[0.9902989,0.008221255,0.00079279795,0.00027237102,0.00037538438,0.00003929059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036359644,0.00015331092,0.00069210137,0.00014059212,0.00011784868,0.000052273965,0.0004542693,0.00007419526,4.7762813e-7],"category_scores_gemma":[0.0045598685,0.00008133619,0.00008134604,0.00081770844,0.00015791724,0.000102379694,0.000183768,0.0005319666,6.9723747e-9],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019176425,0.0012678738,0.0018913676,0.0013699707,0.00016705868,0.000008469469,0.051917475,0.00016146434,0.008320538,0.93258137,0.000008320113,0.0021143607],"study_design_scores_gemma":[0.0018446223,0.0008124888,0.00096594024,0.00042014866,0.00005418908,0.000017912524,0.022119839,0.0053914036,0.0011543365,0.9671295,0.0000052877135,0.00008427388],"about_ca_topic_score_codex":0.000007700118,"about_ca_topic_score_gemma":0.0000010324064,"teacher_disagreement_score":0.034548223,"about_ca_system_score_codex":0.000023188613,"about_ca_system_score_gemma":0.000059549384,"threshold_uncertainty_score":0.5458918},"labels":[],"label_agreement":null},{"id":"W4409793619","doi":"10.61091/jcmcc127a-153","title":"A Study on the Application of Housing Elements in Urban Cultural Heritage in Cultural Creation and Animation Scene Designs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Korean Urban and Social Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Mudanjiang Normal University","keywords":"Cultural heritage; Animation; Architectural engineering; Computer science; Computer graphics (images); Geography; Archaeology; Engineering","score_opus":0.024898300827565025,"score_gpt":0.28772846943110647,"score_spread":0.26283016860354147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99772257,0.000057322683,0.0002130702,0.00008590606,0.00053932756,0.000456315,3.1050408e-7,0.0000047504445,0.0009204234],"genre_scores_gemma":[0.99952865,0.000016208885,0.0003545596,0.0000117770505,0.0000759873,0.000003953895,3.3161268e-7,0.0000055659752,0.0000029880953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859095,0.00014296852,0.00068687747,0.00012498524,0.00032013687,0.00013407454],"domain_scores_gemma":[0.99907124,0.00028066078,0.00048356687,0.000079805555,0.000056826506,0.000027872513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001227349,0.0001291777,0.0003399476,0.00007330663,0.00017005924,0.00008853352,0.00014019784,0.000051976167,0.0000014118041],"category_scores_gemma":[0.0002461617,0.00009214617,0.000037955946,0.0003489084,0.00009733551,0.00017479304,0.0001300862,0.00019266114,3.325213e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026337485,0.002815443,0.5024257,0.00012762078,0.000109341396,0.000012795084,0.043326773,0.00015758286,0.0036425283,0.4412785,0.0002517242,0.0055886614],"study_design_scores_gemma":[0.014147491,0.002063628,0.5706458,0.001120849,0.00017389448,0.000007390819,0.057169244,0.01609298,0.0012521006,0.3365977,0.00016371203,0.00056520634],"about_ca_topic_score_codex":0.000111533795,"about_ca_topic_score_gemma":0.000022192236,"teacher_disagreement_score":0.10468077,"about_ca_system_score_codex":0.00017026387,"about_ca_system_score_gemma":0.000013335367,"threshold_uncertainty_score":0.37576118},"labels":[],"label_agreement":null},{"id":"W4409793620","doi":"10.61091/jcmcc127a-183","title":"A Study on the Linguistic Adaptation of Language Modeling Techniques in Translating British Victorian Literature","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Linguistics; Adaptation (eye); Computer science; History; Natural language processing; Psychology; Philosophy","score_opus":0.026204361811653743,"score_gpt":0.342007382365916,"score_spread":0.31580302055426224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795791,0.00040840157,0.01365353,0.00024622987,0.0031103964,0.0003960829,9.613791e-7,0.000020122401,0.0025851938],"genre_scores_gemma":[0.9960837,0.000016991688,0.003187291,0.000012854636,0.0006813049,0.0000024380734,4.7659375e-7,0.000009139778,0.00000579769],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99762714,0.00052853645,0.0009409216,0.0001393654,0.0005934567,0.00017055307],"domain_scores_gemma":[0.9970686,0.0016282494,0.00053747057,0.0001098449,0.00060741557,0.000048420647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004622299,0.00013326245,0.0004882961,0.00028094047,0.00033301197,0.00023888765,0.0002995506,0.00009848134,0.0000021116412],"category_scores_gemma":[0.0022346054,0.00011476429,0.00013419012,0.00088022347,0.000059102225,0.00008903126,0.00005335822,0.00043157605,8.445865e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051653973,0.00076725904,0.0005565437,0.00007603417,0.000094073075,0.000031744115,0.1282589,0.00094542396,0.000052005184,0.86079186,0.0000049846753,0.0083695045],"study_design_scores_gemma":[0.002102313,0.0004699658,0.0002314406,0.0024295957,0.00014678595,0.0000057662105,0.040008057,0.06561671,0.00007404511,0.88856006,0.00014548405,0.00020980719],"about_ca_topic_score_codex":0.00031970232,"about_ca_topic_score_gemma":0.00007792115,"teacher_disagreement_score":0.088250846,"about_ca_system_score_codex":0.00007213462,"about_ca_system_score_gemma":0.00020194658,"threshold_uncertainty_score":0.4679952},"labels":[],"label_agreement":null},{"id":"W4409793621","doi":"10.61091/jcmcc127a-182","title":"Research on Optimizing Vocational Education Curriculum System through Machine Learning to Enhance Students’ Employability","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Education and Vocational Training","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Henan Province","keywords":"Employability; Vocational education; Curriculum; Mathematics education; Computer science; Engineering management; Medical education; Pedagogy; Engineering; Psychology; Medicine","score_opus":0.049900383996161965,"score_gpt":0.44538716309846255,"score_spread":0.39548677910230057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9377864,0.00032576887,0.00418602,0.0028134172,0.02400596,0.00074327405,0.0000011298458,0.00007619667,0.03006185],"genre_scores_gemma":[0.9908637,0.000031931893,0.007113691,0.000085394866,0.0017479535,0.000012784457,0.0000019437423,0.000016052816,0.00012656687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99614066,0.00077318645,0.0009219001,0.0002783879,0.0015243322,0.00036153392],"domain_scores_gemma":[0.9948634,0.0020016131,0.0005320581,0.00019134459,0.0022064864,0.00020508676],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008459103,0.00017967675,0.0004253606,0.0003909186,0.00154264,0.00046108145,0.00062271993,0.00012064764,0.00000979449],"category_scores_gemma":[0.0029212611,0.00017671664,0.00010247362,0.0011069496,0.00014609304,0.00022868585,0.00017379428,0.0008138868,0.000008509369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034167577,0.0009829267,0.0016007503,0.00013284966,0.000043540007,9.105961e-7,0.011471667,0.0001035937,0.000023554187,0.9830672,0.00044751714,0.0020913247],"study_design_scores_gemma":[0.0030280703,0.0014672576,0.0030643893,0.006534672,0.00014314994,0.000019188266,0.18974987,0.0013192436,0.00063285965,0.7552186,0.037999813,0.0008228687],"about_ca_topic_score_codex":0.00023013321,"about_ca_topic_score_gemma":0.0000050255867,"teacher_disagreement_score":0.22784859,"about_ca_system_score_codex":0.0006553162,"about_ca_system_score_gemma":0.001456259,"threshold_uncertainty_score":0.99975723},"labels":[],"label_agreement":null},{"id":"W4409793623","doi":"10.61091/jcmcc127a-245","title":"Study on the properties of thermoplastic nonwoven interlayer toughened GF/EVE composites, i.e. toughening mechanism","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Toughening; Composite material; Materials science; Thermoplastic composites; Thermoplastic; Mechanism (biology); Toughness","score_opus":0.030173738716574874,"score_gpt":0.27098151179140323,"score_spread":0.24080777307482837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98630345,0.000109165805,0.0011304154,0.00024236483,0.011069739,0.0005646627,0.0000025986865,0.000027479686,0.0005500952],"genre_scores_gemma":[0.99901253,0.0000041548046,0.00044630168,0.00004672835,0.00044538046,0.000008338338,3.0374724e-7,0.000024183175,0.000012101935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969788,0.00038315076,0.001397862,0.00022548917,0.0007327429,0.00028195395],"domain_scores_gemma":[0.99675953,0.0010446543,0.0011581432,0.00034709205,0.00061717344,0.00007341092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027901942,0.00029362077,0.00082767865,0.0001822626,0.00040400247,0.00031773112,0.000640275,0.0001018139,0.0000325855],"category_scores_gemma":[0.00075106474,0.00018859925,0.00014645697,0.00026918208,0.00011370733,0.0001411191,0.0003644308,0.00030279608,0.0000054415054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002951904,0.001349818,0.00007688501,0.00016545353,0.00016329478,0.00000921051,0.005426143,0.00010225997,0.3660951,0.62603426,0.00015414967,0.0001282486],"study_design_scores_gemma":[0.007296498,0.003068112,0.0006210906,0.0029852851,0.0005703218,0.000045680405,0.0076922025,0.0035308623,0.4064604,0.56710243,0.00008912294,0.00053797755],"about_ca_topic_score_codex":0.000013603476,"about_ca_topic_score_gemma":5.534834e-7,"teacher_disagreement_score":0.058931816,"about_ca_system_score_codex":0.00007577434,"about_ca_system_score_gemma":0.00016899678,"threshold_uncertainty_score":0.7690854},"labels":[],"label_agreement":null},{"id":"W4409793641","doi":"10.61091/jcmcc127a-241","title":"A multi-objective linear programming model for optimizing the distribution of native vegetation suitability in Hanzhong, China","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Vegetation (pathology); Distribution (mathematics); Linear programming; Forestry; Computer science; Environmental science; Geography; Mathematics; Algorithm; Archaeology","score_opus":0.012399363700494173,"score_gpt":0.2751167379011829,"score_spread":0.26271737420068875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.782792,0.00008034468,0.21485169,0.00011599556,0.0015342811,0.00051479304,0.0000020484495,0.0000056217973,0.0001032287],"genre_scores_gemma":[0.97656834,0.000008423386,0.023340182,0.0000066915745,0.00005052574,0.000011181469,0.0000016256556,0.0000066669386,0.0000063440507],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860007,0.00010045364,0.00075809745,0.00014922826,0.0002067779,0.00018540565],"domain_scores_gemma":[0.9981572,0.0008130769,0.00071222987,0.00009739938,0.00018950227,0.000030610867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001952112,0.00014124587,0.00040436655,0.000061126084,0.0002907325,0.000028750983,0.00019536729,0.00009495919,7.53964e-7],"category_scores_gemma":[0.0010156883,0.00010942639,0.000108907785,0.00029908257,0.00019695328,0.00014736125,0.00016978191,0.00027010057,1.5635403e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058690336,0.003413233,0.040511023,0.0009059389,0.00037352068,0.0000030354108,0.036389124,0.21111342,0.0008042795,0.7015326,0.000057078472,0.0043098168],"study_design_scores_gemma":[0.0024910413,0.0002082244,0.010861463,0.0001729954,0.000057898647,0.0000018903039,0.0006066946,0.7733,0.00018892034,0.21201436,0.0000069163957,0.00008958932],"about_ca_topic_score_codex":0.000017312419,"about_ca_topic_score_gemma":0.000016032755,"teacher_disagreement_score":0.5621866,"about_ca_system_score_codex":0.00018962612,"about_ca_system_score_gemma":0.000058517904,"threshold_uncertainty_score":0.44622788},"labels":[],"label_agreement":null},{"id":"W4409793662","doi":"10.61091/jcmcc127a-203","title":"Simulation study on the change of grid node parameters by control command issuance of distributed power access unit","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Power grid; Unit (ring theory); Node (physics); Computer science; Control (management); Grid; Power (physics); Distributed computing; Computer network; Engineering; Mathematics; Physics","score_opus":0.028427472384848038,"score_gpt":0.2928805344756442,"score_spread":0.26445306209079616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810194,0.0002779255,0.005450898,0.00018532199,0.011859218,0.00051797216,0.000021209633,0.000015271731,0.000652812],"genre_scores_gemma":[0.99959177,0.000009428666,0.00004103316,0.000036500267,0.00028456064,0.000005256124,0.0000026778985,0.000021428357,0.0000073363058],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99732494,0.00033544647,0.0013049608,0.00017295762,0.00061797805,0.00024370008],"domain_scores_gemma":[0.99450743,0.0026040222,0.0018054813,0.00035981755,0.0006422179,0.00008105875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014542894,0.00027411617,0.0010183408,0.0001781623,0.00019144968,0.00011002253,0.0006203141,0.00014429011,0.0000053334634],"category_scores_gemma":[0.00062306103,0.00018898446,0.00017773514,0.00048088667,0.00010328962,0.0001506826,0.00016808255,0.0003118798,2.4250073e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011311445,0.0055437824,0.005165277,0.00045631835,0.0013612004,0.0000138716205,0.0024389813,0.04181936,0.0007009372,0.93965334,0.001084764,0.00063104555],"study_design_scores_gemma":[0.09198891,0.014634352,0.013245392,0.01027848,0.0024737474,0.00002687557,0.011068934,0.19622903,0.024657467,0.612559,0.020225154,0.0026126606],"about_ca_topic_score_codex":0.00027313098,"about_ca_topic_score_gemma":0.0000024589506,"teacher_disagreement_score":0.32709432,"about_ca_system_score_codex":0.00005105325,"about_ca_system_score_gemma":0.00006738124,"threshold_uncertainty_score":0.7706563},"labels":[],"label_agreement":null},{"id":"W4409793666","doi":"10.61091/jcmcc127a-264","title":"https://combinatorialpress.com/jcmcc-articles/volume-127a/research-on-hierarchical-recursive-power-supply-meshing-algorithm-considering-the-dynamic-change-of-grid-loads/","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Computer science; Grid; Power grid; Algorithm; Power (physics); Mathematics; Geometry; Physics","score_opus":0.01440897550449745,"score_gpt":0.26916227562778106,"score_spread":0.2547533001232836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9314568,0.0038879402,0.008199384,0.0011981116,0.051321767,0.0013095319,0.00002334783,0.00020678295,0.0023963172],"genre_scores_gemma":[0.9954076,0.00023863289,0.0026376084,0.00005696564,0.0015272446,0.000014136208,0.0000026026821,0.000091682945,0.00002357051],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99493533,0.00036301414,0.0019014296,0.00040084132,0.0014325031,0.0009669015],"domain_scores_gemma":[0.9949564,0.002275787,0.00071081205,0.0006590727,0.0010661691,0.00033180584],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0031488733,0.00060177065,0.0013391327,0.00072274194,0.00064982707,0.00041454047,0.0011825124,0.00045148825,0.000028175056],"category_scores_gemma":[0.00067950576,0.0004991375,0.00039341138,0.0014345618,0.00041295227,0.00034332435,0.00045692257,0.0025796832,0.000006947024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021042007,0.0008471016,0.00035888224,0.0006245673,0.00071796833,0.00007108766,0.0032176874,0.0010155248,0.001443921,0.95475644,0.0068262876,0.029910136],"study_design_scores_gemma":[0.005905143,0.0016405098,0.00054864626,0.0015120223,0.00020309805,0.00007666925,0.00095398986,0.06134998,0.0039778915,0.9152081,0.007961517,0.00066243374],"about_ca_topic_score_codex":0.000021884403,"about_ca_topic_score_gemma":6.8156766e-7,"teacher_disagreement_score":0.06395074,"about_ca_system_score_codex":0.00029663983,"about_ca_system_score_gemma":0.0002401843,"threshold_uncertainty_score":0.999746},"labels":[],"label_agreement":null},{"id":"W4409793670","doi":"10.61091/jcmcc127a-258","title":"A Safety Detection Model for Substation Operations Based on Combination of Spatial Context Reasoning Algorithm and Deep Learning Techniques","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Context (archaeology); Artificial intelligence; Algorithm; Deep learning; Machine learning; Geography","score_opus":0.010556354981202812,"score_gpt":0.2841311545081213,"score_spread":0.2735747995269185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793670","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013864105,0.00008237793,0.98344463,0.00013237368,0.0017627415,0.0005352173,0.0000017031808,0.00010021587,0.00007664168],"genre_scores_gemma":[0.6359598,0.000019783252,0.36389437,0.000022661887,0.000079254896,0.000007444911,0.0000012357855,0.000013344135,0.000002083407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977283,0.00014325381,0.0011364749,0.00028505095,0.0004970124,0.0002099255],"domain_scores_gemma":[0.9959707,0.0015176012,0.0009378423,0.0002505899,0.0012467438,0.00007646928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019811078,0.00024344401,0.0006082137,0.00051244244,0.00046388782,0.00022068192,0.00038284264,0.00017615964,2.8482816e-7],"category_scores_gemma":[0.001532125,0.00023750219,0.00012517974,0.0003722412,0.000071179915,0.0004112745,0.00017086203,0.00039601495,6.31808e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013245204,0.00028724447,0.000016480753,0.0000933439,0.00003208336,0.0000016224882,0.00069000653,0.0031074143,0.0007190665,0.6742404,0.0000043308273,0.32067555],"study_design_scores_gemma":[0.001808547,0.00080965494,0.000023484243,0.00048538172,0.00003167337,0.000007127685,0.00006821625,0.65533274,0.007575864,0.3336838,0.000044714943,0.00012882205],"about_ca_topic_score_codex":0.000012044935,"about_ca_topic_score_gemma":0.0000018024504,"teacher_disagreement_score":0.6522253,"about_ca_system_score_codex":0.00014843552,"about_ca_system_score_gemma":0.0001461785,"threshold_uncertainty_score":0.9685058},"labels":[],"label_agreement":null},{"id":"W4409793671","doi":"10.61091/jcmcc127a-252","title":"An Empirical Study of Container Transportation Price Volatility under Uncertainty Shocks Based on DCC-GARCH and SVAR Models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Autoregressive conditional heteroskedasticity; Volatility (finance); Econometrics; Container (type theory); Economics; Financial economics; Engineering","score_opus":0.019232911965270105,"score_gpt":0.2818762535140606,"score_spread":0.2626433415487905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94526124,0.00006827329,0.051127512,0.00003182265,0.0025652375,0.0003323924,0.0000050176504,0.000035902678,0.00057260407],"genre_scores_gemma":[0.9988649,0.0000073407778,0.00089488144,0.000020903984,0.00018294246,0.0000019664735,0.0000031177597,0.000022075552,0.000001898169],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793947,0.00010346025,0.0010828304,0.00018446568,0.000476151,0.00021362523],"domain_scores_gemma":[0.9982085,0.0006681302,0.0003348496,0.00023012704,0.00042080242,0.00013758012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011450715,0.00025079452,0.0007113438,0.00020436224,0.0001300424,0.00008765106,0.0001932222,0.00015316684,0.000005226718],"category_scores_gemma":[0.000096578755,0.0002208562,0.00007830001,0.00023077505,0.00006424601,0.0001240683,0.000024496443,0.0004388815,4.9238956e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085147016,0.006692148,0.012459937,0.001509714,0.00046378296,0.00004344939,0.006000472,0.51723754,0.00026737424,0.45177045,0.00023835016,0.0024652968],"study_design_scores_gemma":[0.004549241,0.0013567634,0.0035343703,0.00020053783,0.0001429403,0.000002505714,0.0008209157,0.7893016,0.00004842677,0.19982433,0.00003170899,0.00018665212],"about_ca_topic_score_codex":0.000031153333,"about_ca_topic_score_gemma":0.0000046201835,"teacher_disagreement_score":0.27206406,"about_ca_system_score_codex":0.000074063486,"about_ca_system_score_gemma":0.00009789492,"threshold_uncertainty_score":0.9006254},"labels":[],"label_agreement":null},{"id":"W4409793672","doi":"10.61091/jcmcc127a-249","title":"Design of finite-domain based cryptographic algorithms in information security and their attack resistance analysis methods","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Cryptography; Computer security; Algorithm; Theoretical computer science","score_opus":0.0148570224341997,"score_gpt":0.278364986187458,"score_spread":0.2635079637532583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793672","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0782399,0.00043018226,0.91795087,0.00016266199,0.0028356726,0.00021666384,9.586398e-7,0.000020255991,0.00014282616],"genre_scores_gemma":[0.8267714,0.000061233404,0.17304783,0.00003330873,0.000078237426,0.0000019751242,5.5638134e-7,0.0000050340204,4.5922076e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99728286,0.0005696832,0.0013655106,0.0001921043,0.0003579054,0.00023193886],"domain_scores_gemma":[0.9956334,0.0022761226,0.0011797961,0.00029659484,0.00052472163,0.00008936139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049321074,0.00022788093,0.00084109657,0.001140817,0.00018344865,0.0002417085,0.0005060951,0.00017738529,0.0000014997098],"category_scores_gemma":[0.0004865048,0.00019989732,0.00017550273,0.0025524257,0.00009515052,0.00059223996,0.00023640851,0.000443669,1.1045123e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002554864,0.0005669346,0.00025539185,0.0005141428,0.00044450143,0.0000059936497,0.0068320143,0.006267494,0.00029110126,0.97428405,0.00006796914,0.010214908],"study_design_scores_gemma":[0.0018250537,0.00021308663,0.00013309874,0.00026532848,0.00006364219,0.0000026780256,0.00017639928,0.4792243,0.00077523553,0.5169726,0.00021631215,0.00013228827],"about_ca_topic_score_codex":0.0000100097595,"about_ca_topic_score_gemma":0.0000016678999,"teacher_disagreement_score":0.74853146,"about_ca_system_score_codex":0.000055986246,"about_ca_system_score_gemma":0.00014380272,"threshold_uncertainty_score":0.8151576},"labels":[],"label_agreement":null},{"id":"W4409793674","doi":"10.61091/jcmcc127a-161","title":"Optimal control during anaerobic digestion of highly concentrated organic wastewater","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Anaerobic digestion; Wastewater; Digestion (alchemy); Pulp and paper industry; Anaerobic exercise; Environmental science; Chemistry; Waste management; Environmental engineering; Chromatography; Biology; Methane; Engineering; Organic chemistry","score_opus":0.005168766978270276,"score_gpt":0.20582012891211396,"score_spread":0.20065136193384367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955671,0.00011168312,0.0004566902,0.0000803224,0.0033101942,0.00023694031,0.0000016083798,0.000020020707,0.00021544157],"genre_scores_gemma":[0.99661326,0.000015559051,0.0031242415,0.000008541743,0.00019169718,9.1621627e-7,0.000001206107,0.000018286672,0.000026278558],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979743,0.00010258582,0.0009778786,0.000191988,0.00044414419,0.00030910436],"domain_scores_gemma":[0.9986404,0.00019873223,0.0007407062,0.00017728632,0.00012111579,0.000121733756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005753509,0.00025221807,0.00066101836,0.00011700358,0.00019082877,0.00008352555,0.000292606,0.00013067437,0.00004427871],"category_scores_gemma":[0.00009411052,0.00020617947,0.00015006894,0.00034006452,0.00014473262,0.00019982088,0.00019161741,0.00024574707,0.0000045883758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012402674,0.0021227135,0.012984622,0.00041823476,0.00082620874,0.00012193567,0.0020896278,0.0017048336,0.90188074,0.0758931,0.000271604,0.000446128],"study_design_scores_gemma":[0.040897176,0.002502189,0.008339278,0.0013194856,0.001088218,0.0002611777,0.0008197228,0.007914769,0.8384244,0.097190805,0.00030317792,0.00093963527],"about_ca_topic_score_codex":0.000015461455,"about_ca_topic_score_gemma":3.7826817e-7,"teacher_disagreement_score":0.063456364,"about_ca_system_score_codex":0.0001619008,"about_ca_system_score_gemma":0.00005316824,"threshold_uncertainty_score":0.8407755},"labels":[],"label_agreement":null},{"id":"W4409793675","doi":"10.61091/jcmcc127a-208","title":"Research on performance prediction of virtual power plant and multi-resource fusion system based on neural network","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Resource (disambiguation); Computer science; Fusion; Artificial intelligence; Computer network","score_opus":0.016344984102633256,"score_gpt":0.26263073361445727,"score_spread":0.24628574951182403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97575265,0.00015450767,0.016541256,0.000033844182,0.0058709118,0.00032075474,0.000009932124,0.000061911174,0.0012542126],"genre_scores_gemma":[0.9978051,0.000020641195,0.0016870921,0.000006796935,0.0004509693,0.0000032888108,0.0000018219442,0.000020892661,0.0000033547335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984207,0.00006926703,0.0006678422,0.00014008096,0.00046228158,0.0002398012],"domain_scores_gemma":[0.9984991,0.00076209387,0.00024004841,0.00017654125,0.00023144255,0.00009075058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011353464,0.00017665666,0.000414154,0.0002305459,0.00028808182,0.00006502257,0.00017318982,0.00011908184,8.165799e-7],"category_scores_gemma":[0.00006455826,0.00015328465,0.000059756097,0.00035217978,0.00006595895,0.000071472954,0.000076420474,0.0005669872,3.8241822e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025373948,0.00048616875,0.00021713451,0.0006919365,0.000077866425,0.000007132684,0.0003395011,0.19606341,0.00047404142,0.7957246,0.00049749657,0.005166994],"study_design_scores_gemma":[0.0027855055,0.0011032473,0.0005330774,0.0016782708,0.000028418617,0.000010824537,0.00041114163,0.9878192,0.0004413962,0.004509611,0.0005602861,0.00011905009],"about_ca_topic_score_codex":0.0000011291161,"about_ca_topic_score_gemma":5.2234046e-8,"teacher_disagreement_score":0.79175574,"about_ca_system_score_codex":0.00009310087,"about_ca_system_score_gemma":0.000036000685,"threshold_uncertainty_score":0.6250767},"labels":[],"label_agreement":null},{"id":"W4409793676","doi":"10.61091/jcmcc127a-169","title":"Research on the promotion effect of supply chain finance innovation on regional economy based on blockchain technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Promotion (chess); Supply chain; Business; Industrial organization; Marketing; Computer science; Political science","score_opus":0.023324766165839596,"score_gpt":0.2804684404884935,"score_spread":0.2571436743226539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98294294,0.000027423506,0.0005224054,0.003645732,0.0036666323,0.0006541677,9.4307666e-7,0.000034525,0.008505243],"genre_scores_gemma":[0.9988202,0.0000021222627,0.000095142095,0.00018045308,0.00084143836,0.000013482955,0.0000017881017,0.000025680507,0.000019725343],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976419,0.00008914956,0.0009847536,0.00027240548,0.00067706016,0.0003347083],"domain_scores_gemma":[0.9953996,0.0018743622,0.0013024316,0.00032489083,0.0010871886,0.000011550838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005070633,0.00027836172,0.00059993274,0.0017527423,0.00039774954,0.00026280415,0.00055868976,0.00020519747,0.0000041850776],"category_scores_gemma":[0.002129401,0.00020680761,0.00011862982,0.0024471674,0.0002117452,0.00016070898,0.00019405945,0.0009046847,0.000006641067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033397548,0.0005669449,0.00044630715,0.00038169185,0.00003079808,0.0000064415544,0.000017374141,0.0003589012,0.00017519179,0.99449265,0.0013350013,0.0018547286],"study_design_scores_gemma":[0.0038380048,0.0022567431,0.00026968282,0.003487678,0.00003480136,0.000004266803,0.00007576756,0.034498952,0.0054478883,0.9464313,0.0034270308,0.00022789142],"about_ca_topic_score_codex":0.0000052439136,"about_ca_topic_score_gemma":1.9927342e-7,"teacher_disagreement_score":0.048061352,"about_ca_system_score_codex":0.00014528674,"about_ca_system_score_gemma":0.000113318565,"threshold_uncertainty_score":0.843337},"labels":[],"label_agreement":null},{"id":"W4409793677","doi":"10.61091/jcmcc127a-224","title":"Optimization and Risk Assessment Model of Enterprise Supply Chain Management Mode Based on Simulation Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Supply chain; Computer science; Mode (computer interface); Supply chain management; Risk management; Algorithm; Business; Finance","score_opus":0.00982978234418788,"score_gpt":0.2615182737785577,"score_spread":0.25168849143436983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2079978,0.000029599318,0.78615105,0.00045971276,0.0025778858,0.0003855005,0.000004048424,0.000045046443,0.0023493522],"genre_scores_gemma":[0.9548194,0.000030490397,0.044757303,0.00010823193,0.00025292515,0.000003252612,0.0000054886864,0.000018058487,0.00000487995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983513,0.000026220418,0.0008837615,0.00017863198,0.00038365542,0.00017644012],"domain_scores_gemma":[0.99774235,0.00028852545,0.0011856084,0.00020537437,0.0005606942,0.000017427534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010088183,0.00021211513,0.00046733124,0.000737552,0.00026240654,0.0001750623,0.0002267209,0.00013428488,0.0000032787561],"category_scores_gemma":[0.00015851663,0.00020007984,0.000087542656,0.0005134947,0.000083985,0.00031542015,0.00020459913,0.0003337247,3.1027156e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045705136,0.00053085113,0.0014019124,0.0002603291,0.000104536484,0.0000023282055,0.000044261564,0.29105568,0.000018770304,0.700675,0.00007448409,0.005786112],"study_design_scores_gemma":[0.002547954,0.00007432702,0.00012926353,0.00034779086,0.00017762494,4.7242384e-7,0.00012426294,0.72175413,0.00003275432,0.27465677,0.000043584318,0.00011106177],"about_ca_topic_score_codex":0.000016617072,"about_ca_topic_score_gemma":3.1311913e-7,"teacher_disagreement_score":0.7468216,"about_ca_system_score_codex":0.000055473476,"about_ca_system_score_gemma":0.000044055814,"threshold_uncertainty_score":0.81590194},"labels":[],"label_agreement":null},{"id":"W4409793679","doi":"10.61091/jcmcc127a-262","title":"Numerical simulation study on the damage mechanism of U26Mn2Si2CrNiMo bainitic austenitic withdrawn fork steel by nonmetallic inclusions","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Austenite; Fork (system call); Metallurgy; Mechanism (biology); Materials science; Structural engineering; Engineering; Microstructure; Physics","score_opus":0.012248120758995411,"score_gpt":0.24448741670720667,"score_spread":0.23223929594821124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9744114,0.00016740554,0.01692732,0.00010210565,0.006384859,0.0006829044,0.000004006445,0.000044885666,0.0012751028],"genre_scores_gemma":[0.99936986,0.000009307791,0.00028171745,0.00004341997,0.00024508635,0.0000032710273,8.631203e-7,0.000034848068,0.00001164328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99776465,0.00013428916,0.0011241441,0.00015936366,0.00054331974,0.00027424202],"domain_scores_gemma":[0.99750066,0.0013711001,0.00042525624,0.00029357654,0.00030246592,0.00010697287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010106905,0.00029732464,0.00074295525,0.00015631589,0.00031433254,0.0001176446,0.0004507045,0.00014775434,0.0000119040815],"category_scores_gemma":[0.00046080517,0.00020809512,0.00015816966,0.00033392882,0.00006195732,0.00011028827,0.00019557131,0.0006017857,0.0000014731976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018940306,0.0014765483,0.00002646279,0.0004774233,0.0006202401,0.000017072089,0.002699329,0.0071508996,0.018054467,0.9678483,0.0004463251,0.0009935206],"study_design_scores_gemma":[0.0077739693,0.003287446,0.0000974752,0.0012004643,0.00060432585,0.00001915851,0.0030396737,0.185166,0.017999863,0.77956927,0.00064204074,0.00060029025],"about_ca_topic_score_codex":0.000004025386,"about_ca_topic_score_gemma":1.4025471e-7,"teacher_disagreement_score":0.18827902,"about_ca_system_score_codex":0.00008131136,"about_ca_system_score_gemma":0.000059445974,"threshold_uncertainty_score":0.8485873},"labels":[],"label_agreement":null},{"id":"W4409793680","doi":"10.61091/jcmcc127a-173","title":"A Study of Consumer Data-Driven Purchasing Behaviour Insight and Prediction in the Context of Digital Marketing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Purchasing; Marketing; Digital marketing; Business; Data science; Marketing research; Computer science; Geography","score_opus":0.07328550964732089,"score_gpt":0.34696161314216095,"score_spread":0.27367610349484006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958796,0.00029553456,0.000389404,0.00011444529,0.0027980865,0.00028290943,0.000024153587,0.0000035275302,0.00021237254],"genre_scores_gemma":[0.999624,0.000031144387,0.00018279911,0.000011996755,0.00013858631,5.281172e-7,0.0000024544963,0.000006266862,0.000002223081],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963967,0.00031540543,0.0017835683,0.00021640974,0.0011224635,0.00016545088],"domain_scores_gemma":[0.993948,0.003403466,0.001438937,0.00042743975,0.00072956696,0.00005263557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007489013,0.00016371644,0.0007700204,0.00027619375,0.00018552225,0.00041584406,0.0008494273,0.00009746429,0.0000018449234],"category_scores_gemma":[0.0037709894,0.000103504855,0.000079867365,0.0006558769,0.00015230037,0.00054330507,0.0005602225,0.00032506633,1.1727107e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015168005,0.012914226,0.6191998,0.00070029305,0.00072391616,0.00009860496,0.08565695,0.00005935213,0.00063438923,0.19842,0.0031117033,0.076963946],"study_design_scores_gemma":[0.04235646,0.005169969,0.1960413,0.0038602035,0.0010670641,0.00029047477,0.34591022,0.028074669,0.00028471957,0.3741737,0.0018630069,0.0009082019],"about_ca_topic_score_codex":0.00002526922,"about_ca_topic_score_gemma":0.0000019726417,"teacher_disagreement_score":0.42315853,"about_ca_system_score_codex":0.000020811605,"about_ca_system_score_gemma":0.00013647562,"threshold_uncertainty_score":0.45144987},"labels":[],"label_agreement":null},{"id":"W4409793681","doi":"10.61091/jcmcc127a-265","title":"Research on cable thermal property detection based on Laplace equation and deep learning fusion algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Laplace transform; Property (philosophy); Fusion; Algorithm; Laplace's equation; Deep learning; Computer science; Artificial intelligence; Mathematics; Mathematical analysis; Partial differential equation","score_opus":0.016509979020819996,"score_gpt":0.266508518003072,"score_spread":0.24999853898225202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7155943,0.0007126964,0.25484157,0.00014655484,0.018453054,0.0009018151,0.0000012099887,0.0002010625,0.009147718],"genre_scores_gemma":[0.9982372,0.000030307434,0.0010079914,0.000010142439,0.00065627485,0.000003500369,6.188824e-7,0.000030239233,0.000023761972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808615,0.00023481315,0.0005944611,0.00017351597,0.0006148068,0.00029623514],"domain_scores_gemma":[0.9980721,0.0010829624,0.0002155695,0.00014624745,0.00038412353,0.00009898888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019476708,0.00021256784,0.00045077087,0.00035544852,0.00044489725,0.00018382144,0.00014120401,0.00016492252,0.0000023664097],"category_scores_gemma":[0.00032078227,0.0001617637,0.00007030437,0.0003484989,0.000042943328,0.00011831694,0.00005136426,0.0008921616,0.0000016808771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011603978,0.0010047173,0.00017088378,0.0013417767,0.00029824473,0.00005864504,0.0020179863,0.4308333,0.026261467,0.16209483,0.00013165883,0.3746261],"study_design_scores_gemma":[0.0036248916,0.0011208057,0.00006955341,0.0006571479,0.00003197311,0.000009090444,0.0004534478,0.96043307,0.0030856319,0.029708661,0.0006222386,0.00018348258],"about_ca_topic_score_codex":0.0000113689475,"about_ca_topic_score_gemma":4.952522e-7,"teacher_disagreement_score":0.5295998,"about_ca_system_score_codex":0.00017422154,"about_ca_system_score_gemma":0.00003945428,"threshold_uncertainty_score":0.65965325},"labels":[],"label_agreement":null},{"id":"W4409793683","doi":"10.61091/jcmcc127a-179","title":"Research on Real-time Dynamic Adjustment Strategy of Industry-Teaching Integration Practical Training Process in Higher Vocational Education Based on Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology and Human Factors in Education and Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Reinforcement learning; Reinforcement; Process (computing); Training (meteorology); Computer science; Industrial engineering; Mathematics education; Artificial intelligence; Psychology; Engineering; Pedagogy; Social psychology","score_opus":0.06906657358654729,"score_gpt":0.43478344197687724,"score_spread":0.36571686839032996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9759646,0.000029070608,0.00032933764,0.0019479222,0.0037779277,0.00045357473,3.1588803e-7,0.000022666274,0.017474577],"genre_scores_gemma":[0.9984928,0.000015173787,0.0009537499,0.00006364452,0.0003444195,0.0000074029354,0.0000066194816,0.000012875627,0.0001033129],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978034,0.00023341094,0.0009375495,0.00017591057,0.0006272656,0.00022244689],"domain_scores_gemma":[0.99752057,0.00095280417,0.0006456339,0.00015086643,0.00063293125,0.00009721396],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0025674016,0.00015800301,0.00048186872,0.00086045935,0.00023105004,0.000040899904,0.000119270735,0.0003286537,0.000033168988],"category_scores_gemma":[0.0008680822,0.0001390419,0.00006232216,0.00036152024,0.000090766465,0.00008506649,0.000028078339,0.0023430667,0.0000010947962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005473426,0.0026404965,0.00022849892,0.00038213495,0.000042826447,0.0000028251352,0.0021578807,0.00093317946,0.00025236697,0.9774197,0.00018924207,0.015203526],"study_design_scores_gemma":[0.019978894,0.015739106,0.038931783,0.020426469,0.00032069237,0.000055120807,0.038732875,0.10114276,0.0017231547,0.7615863,0.00068160665,0.0006812121],"about_ca_topic_score_codex":0.000008625787,"about_ca_topic_score_gemma":3.3322806e-7,"teacher_disagreement_score":0.21583335,"about_ca_system_score_codex":0.0004058714,"about_ca_system_score_gemma":0.0019920224,"threshold_uncertainty_score":0.9999586},"labels":[],"label_agreement":null},{"id":"W4409793684","doi":"10.61091/jcmcc127a-217","title":"Research on hotel customer satisfaction prediction and intelligent service management model based on deep neural network","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Customer satisfaction; Artificial neural network; Business; Service (business); Computer science; Knowledge management; Artificial intelligence; Marketing","score_opus":0.0295317123663851,"score_gpt":0.2929885464141268,"score_spread":0.26345683404774173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94518185,0.00006574226,0.01981688,0.0031567505,0.012128652,0.0006939956,0.0000013166499,0.00012937599,0.018825458],"genre_scores_gemma":[0.9969982,0.000023130327,0.0011370346,0.00065074494,0.001151714,0.000006419989,0.0000028286934,0.000023775096,0.000006177901],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980081,0.000043370175,0.00075228466,0.0002457122,0.00061473536,0.0003358282],"domain_scores_gemma":[0.99805677,0.0004006755,0.0004984431,0.00025275562,0.0007634793,0.000027876291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019486602,0.00023418728,0.00039381025,0.0009529268,0.00064335775,0.00034746833,0.0002670003,0.00018928027,0.0000047433223],"category_scores_gemma":[0.00013139604,0.00021432615,0.00007091,0.0013386814,0.000095952935,0.00028298114,0.00027307338,0.0008430941,0.0000066173366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001758493,0.00034811243,0.0011824778,0.00034532056,0.00008188539,0.0000075654075,0.000045974477,0.015582731,0.000022040877,0.97186035,0.0011134326,0.009234284],"study_design_scores_gemma":[0.001972541,0.00014742119,0.0013874092,0.0005078387,0.00011186663,0.000003076565,0.00038544045,0.58009225,0.000020316522,0.41456604,0.00065932435,0.00014650113],"about_ca_topic_score_codex":0.000024374038,"about_ca_topic_score_gemma":0.0000033005292,"teacher_disagreement_score":0.5645095,"about_ca_system_score_codex":0.00010060371,"about_ca_system_score_gemma":0.000031366268,"threshold_uncertainty_score":0.8739967},"labels":[],"label_agreement":null},{"id":"W4409793685","doi":"10.61091/jcmcc127a-201","title":"Realistic Dilemmas and Response Strategies of Digital Culture and Tourism Enabling Rural Revitalisation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tourism; Sociology; Political science; Business; Law","score_opus":0.015149518588106295,"score_gpt":0.272781171319103,"score_spread":0.2576316527309967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993514,0.0008054361,0.00078485574,0.00058138045,0.002264421,0.00016798753,0.0000014513744,0.000010651445,0.0018698155],"genre_scores_gemma":[0.9983919,0.00055079244,0.0006358022,0.0000072279504,0.0003462266,6.7667776e-7,0.0000010194135,0.000007080463,0.000059250237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99853474,0.00013725522,0.0006176684,0.00010923685,0.00043267297,0.00016845632],"domain_scores_gemma":[0.99822927,0.00088212657,0.00052917603,0.00007359087,0.00018606083,0.00009976296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017263485,0.0001426729,0.00040259454,0.00012930974,0.0003365991,0.0003479909,0.0001333638,0.000118945456,0.0000017842958],"category_scores_gemma":[0.00093284703,0.0001231129,0.000055959776,0.0001708015,0.00025128794,0.00036783432,0.000119104916,0.00018048621,1.319565e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018760259,0.000098011755,0.00061359815,0.00014604171,0.000061344064,0.0000075301414,0.009345786,0.0000106770885,0.0002983998,0.9871413,0.0001687866,0.0019209047],"study_design_scores_gemma":[0.0023949281,0.0003380946,0.0014284236,0.00083835033,0.000094040726,0.000013360885,0.021004666,0.00022103154,0.0000915195,0.96909434,0.0042895963,0.00019165018],"about_ca_topic_score_codex":0.00002850663,"about_ca_topic_score_gemma":8.1050626e-7,"teacher_disagreement_score":0.018046979,"about_ca_system_score_codex":0.00007011701,"about_ca_system_score_gemma":0.00018287021,"threshold_uncertainty_score":0.50203985},"labels":[],"label_agreement":null},{"id":"W4409793686","doi":"10.61091/jcmcc127a-242","title":"Research on the interface design of an interactive system for concentration training of autistic children based on reinforcement learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement; Interface (matter); Training (meteorology); Human–computer interaction; Autism; Reinforcement learning; Interactive Learning; Psychology; Computer science; Developmental psychology; Multimedia; Artificial intelligence; Social psychology; Operating system","score_opus":0.06044159672866748,"score_gpt":0.36441259295186657,"score_spread":0.30397099622319906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8172526,0.000028217466,0.17581585,0.00043577113,0.0035342667,0.0017154432,0.0000033788606,0.00002576274,0.0011887525],"genre_scores_gemma":[0.9992501,0.000003433907,0.00057220727,0.000011998279,0.00012780023,0.000008812101,5.867636e-7,0.000020465144,0.0000045921133],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963984,0.0010040528,0.0010120115,0.0002364618,0.0010155204,0.00033358153],"domain_scores_gemma":[0.9900221,0.008301257,0.0010412635,0.00024464092,0.00033115174,0.000059548875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049795806,0.00018580236,0.00055678183,0.0003311454,0.0004268852,0.00013150333,0.0005751468,0.00009474306,0.000003460454],"category_scores_gemma":[0.0034688893,0.00014109505,0.00010706239,0.0005070771,0.00020096225,0.00011507401,0.00012244534,0.00080892583,4.4438505e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001131176,0.000429867,0.000012138071,0.00023879201,0.00004337707,0.0000022758638,0.0018959825,0.03199451,0.0070618447,0.956636,0.000018518313,0.0005354953],"study_design_scores_gemma":[0.0048628133,0.0068765003,0.00004314612,0.002405721,0.00004855398,0.000009251466,0.0022055872,0.65300184,0.14523718,0.18515378,0.000009196131,0.00014640718],"about_ca_topic_score_codex":0.0000067039773,"about_ca_topic_score_gemma":6.7624e-8,"teacher_disagreement_score":0.7714822,"about_ca_system_score_codex":0.00020085469,"about_ca_system_score_gemma":0.00036861037,"threshold_uncertainty_score":0.57536894},"labels":[],"label_agreement":null},{"id":"W4409793688","doi":"10.61091/jcmcc127a-193","title":"Optimising Territorial Spatial Planning Using Image Recognition Technology and Monitoring the Direction of Coordinated Development of Urbanisation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Urbanization; Computer vision; Computer science; Artificial intelligence; Image (mathematics); Spatial planning; Environmental planning; Cartography; Geography; Economic growth; Economics","score_opus":0.029552341005084776,"score_gpt":0.30511246874278414,"score_spread":0.27556012773769933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97839504,0.00019829032,0.0085082045,0.00015306892,0.011970387,0.00019472223,6.4978786e-7,0.000018835142,0.0005607771],"genre_scores_gemma":[0.98200047,0.000022680317,0.017120536,0.000001651515,0.000836708,0.000001380644,7.5547734e-7,0.000011467964,0.000004368997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979615,0.00014961707,0.001114447,0.00014643173,0.000421393,0.00020660768],"domain_scores_gemma":[0.99713606,0.0006231837,0.0014188581,0.00008750454,0.00067735126,0.00005706667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024549463,0.00016005845,0.00050193054,0.00047651376,0.0006794431,0.000114557646,0.00023524255,0.00020039959,0.000001993669],"category_scores_gemma":[0.00071256614,0.00014485324,0.00006961799,0.0005256327,0.0002922931,0.00022594318,0.00014564415,0.0002806263,8.8323446e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008766217,0.001406767,0.03409796,0.0011850273,0.0015677141,0.00001675999,0.10763049,0.0003646263,0.05301188,0.6240912,0.00015073594,0.17560023],"study_design_scores_gemma":[0.012212208,0.0006451177,0.0062357616,0.007086639,0.00067554164,0.000048016813,0.03970611,0.0061880355,0.08644626,0.8372003,0.002556371,0.0009996453],"about_ca_topic_score_codex":0.00009170697,"about_ca_topic_score_gemma":0.0000014565726,"teacher_disagreement_score":0.2131091,"about_ca_system_score_codex":0.00025937316,"about_ca_system_score_gemma":0.00048016402,"threshold_uncertainty_score":0.59069437},"labels":[],"label_agreement":null},{"id":"W4409793689","doi":"10.61091/jcmcc127a-231","title":"Research on the Optimization Path of English Classroom Interaction in Colleges and Universities Based on Big Data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Mathematics education; Computer science; Big data; Psychology; Data mining; Programming language","score_opus":0.06490424729953834,"score_gpt":0.34352947928533994,"score_spread":0.2786252319858016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9114451,0.00021288796,0.05255143,0.0040502544,0.026361179,0.00042675255,0.0000052211763,0.00003502552,0.004912141],"genre_scores_gemma":[0.99660385,0.00003584493,0.0030065384,0.00003398266,0.0003062637,8.6713226e-7,0.0000011007002,0.000004741688,0.000006839497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984951,0.0002983232,0.00047027649,0.00018439577,0.00040446123,0.0001474281],"domain_scores_gemma":[0.994307,0.0041280906,0.00037526106,0.0004000233,0.0007554544,0.000034214783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002986389,0.00011014765,0.00027970033,0.0005741754,0.0002240149,0.00011340956,0.0008339693,0.00012116721,0.0000012562242],"category_scores_gemma":[0.0010858676,0.000086771746,0.000029581246,0.00068159506,0.00012756158,0.00018486934,0.00039737351,0.0006059548,1.4936133e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007674388,0.00036713533,0.00017423702,0.000058398164,0.000021652615,0.0000028652203,0.00084017636,0.0015306523,0.000009379426,0.9955467,0.00037664353,0.0009954305],"study_design_scores_gemma":[0.003407846,0.0013178319,0.00050263305,0.0016307537,0.000028760755,0.0000060137927,0.008995839,0.4365908,0.0005402341,0.5455955,0.0011992435,0.00018452504],"about_ca_topic_score_codex":0.0000103222,"about_ca_topic_score_gemma":7.671889e-7,"teacher_disagreement_score":0.44995117,"about_ca_system_score_codex":0.000093170616,"about_ca_system_score_gemma":0.00043098844,"threshold_uncertainty_score":0.3538449},"labels":[],"label_agreement":null},{"id":"W4409793691","doi":"10.61091/jcmcc127a-229","title":"Research on the design and optimization of ecological landscape water body network based on linear programming","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Linear programming; Computer science; Ecology; Biology","score_opus":0.04069737771037399,"score_gpt":0.31262486458364175,"score_spread":0.27192748687326773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9106356,0.00019368238,0.05922402,0.008694504,0.011268775,0.0018609884,4.6369044e-7,0.0000411926,0.008080788],"genre_scores_gemma":[0.9898426,0.00006226707,0.009479566,0.00004621323,0.00053755444,0.0000038069725,5.036935e-7,0.000008032087,0.000019486673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977533,0.00058557786,0.0004894537,0.00012829594,0.000755101,0.00028823435],"domain_scores_gemma":[0.9964343,0.002905666,0.00024248994,0.00009965153,0.00024166844,0.00007627242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075320383,0.000119427394,0.00030864275,0.00013399718,0.0007464872,0.00012627698,0.00024084224,0.00012846656,0.0000121524745],"category_scores_gemma":[0.0004680672,0.00007093747,0.00006037155,0.0002707146,0.00022188255,0.000050144943,0.000103765655,0.00036850644,7.24031e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024796344,0.0005647236,0.00031651882,0.000049363978,0.00005343677,0.0000058249143,0.0014245203,0.06393093,0.000016662778,0.93197745,0.00075525016,0.0006573343],"study_design_scores_gemma":[0.0050072134,0.0031949764,0.00070607115,0.0014542365,0.00010596967,0.0000034260845,0.00332685,0.28747547,0.0005973569,0.689269,0.00847909,0.00038030738],"about_ca_topic_score_codex":0.0000046682803,"about_ca_topic_score_gemma":1.7704885e-7,"teacher_disagreement_score":0.24270844,"about_ca_system_score_codex":0.000066322704,"about_ca_system_score_gemma":0.00013147607,"threshold_uncertainty_score":0.57414514},"labels":[],"label_agreement":null},{"id":"W4409793692","doi":"10.61091/jcmcc127a-186","title":"Research on Innovation and Entrepreneurship Education Based on Experimental Research under Artificial Intelligence Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Engineering Education and Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Knowledge management; Engineering; Artificial intelligence; Management science; Engineering ethics; Business; Computer science","score_opus":0.07025883866848616,"score_gpt":0.3973658437392283,"score_spread":0.32710700507074214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8975993,0.00026787966,0.07948961,0.0068064732,0.013395061,0.00039832236,2.510774e-7,0.00010300077,0.0019400984],"genre_scores_gemma":[0.99338543,0.0000073964557,0.006224369,0.000068999696,0.00028417894,0.000008388002,3.9169578e-7,0.000010963814,0.000009895743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978193,0.00020691194,0.0006732075,0.00030504895,0.0006826984,0.00031281254],"domain_scores_gemma":[0.9966541,0.0014265392,0.00024785724,0.00040372927,0.0011979352,0.00006986019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034538347,0.00015746149,0.0002910438,0.0028035622,0.00038069405,0.00030306322,0.00066549564,0.00022127984,0.0000020025939],"category_scores_gemma":[0.0010742832,0.00015012968,0.00003346651,0.0028727856,0.00019758283,0.000119515375,0.00028820673,0.0010857675,0.0000029084104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003054056,0.0009787644,0.000029431332,0.000042914715,0.000012060967,0.0000022411514,0.00021403914,0.00014376249,0.00094393326,0.98317766,0.00016468417,0.014259958],"study_design_scores_gemma":[0.00039446523,0.0010150037,0.000053283315,0.00041681345,0.00000424028,0.000011834463,0.0011158733,0.017312389,0.026468154,0.9528289,0.00026504727,0.00011401602],"about_ca_topic_score_codex":0.0000030703718,"about_ca_topic_score_gemma":9.666941e-8,"teacher_disagreement_score":0.09578612,"about_ca_system_score_codex":0.00020267421,"about_ca_system_score_gemma":0.00052886194,"threshold_uncertainty_score":0.61221105},"labels":[],"label_agreement":null},{"id":"W4409793693","doi":"10.61091/jcmcc127a-220","title":"Optimization strategies for real-time target detection and tracking in complex scenes","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Computer vision; Tracking (education); Artificial intelligence; Real-time computing; Psychology","score_opus":0.024145905513455485,"score_gpt":0.283424592546671,"score_spread":0.25927868703321555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61344665,0.00021211353,0.37859228,0.000026876174,0.0065967925,0.00034792625,0.0000018620053,0.00010910134,0.00066638726],"genre_scores_gemma":[0.8527559,0.000080382146,0.14684694,0.0000045339993,0.00027938574,0.0000041766098,0.0000011710857,0.000025621943,0.0000018931726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853414,0.000093688825,0.00082947215,0.00013522663,0.00017771932,0.00022975769],"domain_scores_gemma":[0.99833566,0.00091742794,0.0003000966,0.000098133605,0.00029778943,0.000050916173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014015094,0.00020952478,0.0005730134,0.00037961217,0.0001669484,0.00024208396,0.00013436121,0.00017042761,0.00000290901],"category_scores_gemma":[0.0004581201,0.00021261237,0.00007575815,0.00030565317,0.000050440052,0.00030692035,0.00005210062,0.00026365367,1.4238685e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047230063,0.0003283674,0.00040010648,0.0025410466,0.00034997222,0.000012958722,0.003041176,0.4234401,0.11112878,0.44623357,0.00018071776,0.011870909],"study_design_scores_gemma":[0.0025869743,0.00023310403,0.00019427678,0.00022804727,0.000045438297,0.000022597125,0.00073019846,0.53279877,0.0067852368,0.45609164,0.000083104824,0.00020062405],"about_ca_topic_score_codex":0.0000044270273,"about_ca_topic_score_gemma":4.4570396e-7,"teacher_disagreement_score":0.23930924,"about_ca_system_score_codex":0.00010098023,"about_ca_system_score_gemma":0.000057544832,"threshold_uncertainty_score":0.8670081},"labels":[],"label_agreement":null},{"id":"W4409793694","doi":"10.61091/jcmcc127a-227","title":"A Study on Choreography Strategies of Ethnic Folk Dance Movements in Southwest China Based on Graph Neural Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Choreography; Dance; Ethnic group; China; Folk dance; Geography; Sociology; Anthropology; Visual arts; Art; Archaeology","score_opus":0.023735225276957882,"score_gpt":0.3314863162571307,"score_spread":0.30775109098017284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859705,0.000091617585,0.00064089854,0.00025012603,0.007974507,0.0004160572,9.2961096e-7,0.000015114137,0.0046402775],"genre_scores_gemma":[0.99934274,0.000012454296,0.000092679526,0.000057972058,0.00047676574,0.0000039147553,5.786015e-7,0.000008792664,0.0000040919813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99747425,0.00042480972,0.00093468674,0.00018718821,0.0006306909,0.0003483904],"domain_scores_gemma":[0.9976646,0.0011643615,0.0006266071,0.0001671177,0.00025353802,0.00012379765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021565363,0.0002049567,0.00060172245,0.0003641168,0.00026683442,0.00012570592,0.00037363268,0.00015452651,0.000004695965],"category_scores_gemma":[0.00064843096,0.00017006237,0.00016497025,0.00096512114,0.00020151316,0.00011188519,0.000059980142,0.00057054043,2.258304e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017732826,0.0031466905,0.010482331,0.000059729715,0.000046689824,0.0000088003235,0.0062771826,0.0019086135,0.0000068358636,0.97701585,0.000021214335,0.00084875594],"study_design_scores_gemma":[0.005119098,0.0028144787,0.076507024,0.0006581103,0.00005651121,5.9409496e-7,0.018274263,0.006014081,0.000025649237,0.89026785,0.00003015038,0.00023216853],"about_ca_topic_score_codex":0.00026206725,"about_ca_topic_score_gemma":0.000017257433,"teacher_disagreement_score":0.08674796,"about_ca_system_score_codex":0.000071603405,"about_ca_system_score_gemma":0.00020217487,"threshold_uncertainty_score":0.6934942},"labels":[],"label_agreement":null},{"id":"W4409793695","doi":"10.61091/jcmcc127a-189","title":"Research on Financial Performance Evaluation of Pharmaceutical Enterprises Based on Big Data Analysis and Their Digital Development Paths","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Big data; Business; Data science; Computer science; Finance; Data mining","score_opus":0.0950064548462439,"score_gpt":0.3510773857039042,"score_spread":0.2560709308576603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914,0.000055002227,0.0029669146,0.00038656752,0.0028517486,0.00023222898,0.0000033698122,0.000017962493,0.0020861914],"genre_scores_gemma":[0.99901986,0.000007599338,0.000256966,0.00009069186,0.0005964404,0.0000028370116,0.000013259569,0.000010580463,0.0000017447037],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997843,0.00005056499,0.0008331647,0.00023814391,0.00080792524,0.00022718609],"domain_scores_gemma":[0.99703264,0.00073169224,0.0005851122,0.0003546938,0.0012749013,0.000020929294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048899367,0.00018969401,0.0004993257,0.0014306464,0.00036750358,0.0002684378,0.0005149037,0.00012791848,0.0000044022822],"category_scores_gemma":[0.0012767975,0.0001533881,0.00006894196,0.001686762,0.00016898719,0.00031581873,0.00049013615,0.00052033825,0.000001444369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004719134,0.002700038,0.02225486,0.0006151576,0.000695527,0.000005383672,0.00025489758,0.0003234184,0.00013402889,0.72894466,0.0007048806,0.24289525],"study_design_scores_gemma":[0.014119369,0.00075858727,0.021806069,0.002668676,0.0015278779,0.0000050539866,0.0014269532,0.56554806,0.0030347737,0.38115355,0.00723841,0.0007126182],"about_ca_topic_score_codex":0.000005515298,"about_ca_topic_score_gemma":0.0000010249291,"teacher_disagreement_score":0.56522465,"about_ca_system_score_codex":0.00006353713,"about_ca_system_score_gemma":0.00024644172,"threshold_uncertainty_score":0.62549853},"labels":[],"label_agreement":null},{"id":"W4409793696","doi":"10.61091/jcmcc127a-225","title":"The Construction and Practice of Digital Inheritance Mode of Traditional Sports Programs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inheritance (genetic algorithm); Mode (computer interface); Sociology; Computer science; Biology; Human–computer interaction; Genetics","score_opus":0.016908025049915197,"score_gpt":0.2518339278389613,"score_spread":0.2349259027890461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98307,0.0002469221,0.00250681,0.0018194352,0.0055822795,0.00024307388,0.0000016440025,0.000024680274,0.006505148],"genre_scores_gemma":[0.9971758,0.000031416406,0.0023280839,0.000026414922,0.0004242195,0.0000013534446,0.0000017030627,0.000008564894,0.0000024490585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985401,0.000012901596,0.00088339887,0.000096064054,0.0003386948,0.0001288414],"domain_scores_gemma":[0.9966715,0.0007347252,0.0015070358,0.000128641,0.000947429,0.000010692693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081161305,0.00012740029,0.00036269426,0.00019019854,0.00023491286,0.00018915515,0.00019900202,0.000098100616,8.534271e-7],"category_scores_gemma":[0.001077554,0.00010106395,0.00006898253,0.00050087454,0.00039213567,0.00060451345,0.00013190844,0.00025531463,1.2944503e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008152689,0.00034952222,0.0023094045,0.00019182307,0.000087233966,0.0000023239515,0.00007335389,0.00000299189,0.0001256339,0.9867039,0.00011026059,0.009962053],"study_design_scores_gemma":[0.0015268538,0.000106672764,0.0002747994,0.00040921304,0.00013198695,0.000049480193,0.001568826,0.0008872764,0.0001345753,0.99187875,0.0029329078,0.00009863862],"about_ca_topic_score_codex":0.000007973798,"about_ca_topic_score_gemma":3.2467128e-7,"teacher_disagreement_score":0.0141057875,"about_ca_system_score_codex":0.000015750642,"about_ca_system_score_gemma":0.000059806258,"threshold_uncertainty_score":0.41212684},"labels":[],"label_agreement":null},{"id":"W4409793697","doi":"10.61091/jcmcc127a-212","title":"Research on Optimization Techniques for Target Tracking in Video Image Signal Processing Based on Multiscale Convolutional Neural Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Computer vision; Tracking (education); Image processing; Image (mathematics); SIGNAL (programming language); Signal processing; Pattern recognition (psychology); Digital signal processing; Computer hardware; Psychology","score_opus":0.01696308452591913,"score_gpt":0.3153422992799265,"score_spread":0.2983792147540074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793697","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010287386,0.00013260334,0.98661685,0.00012444145,0.0017184578,0.0005408616,0.00000373643,0.000069013135,0.00050662074],"genre_scores_gemma":[0.9041691,0.000008428055,0.095091805,0.000018857902,0.0006514084,0.000023387414,0.000004180335,0.000031374562,0.0000014967216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834317,0.000053911368,0.00073273137,0.00017768104,0.00037456694,0.00031791753],"domain_scores_gemma":[0.99788755,0.0011601504,0.00022203066,0.00011362914,0.00054323126,0.000073430136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013626881,0.00019743411,0.00040366617,0.00040974634,0.00029958255,0.0001714741,0.00021271028,0.00014665934,0.0000019013113],"category_scores_gemma":[0.00014414136,0.00019133794,0.00008779794,0.0005119968,0.00007033506,0.00016590767,0.000039500315,0.00067127333,1.3072658e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010750638,0.0003870464,0.000021897691,0.00021023702,0.000015653895,0.0000037178195,0.000073180905,0.87562466,0.00020307084,0.11304939,0.0001767828,0.010126873],"study_design_scores_gemma":[0.0019556032,0.00029516593,0.000027643551,0.00068847404,0.000012275938,0.000002586778,0.00009460324,0.90905654,0.0011630788,0.086423084,0.00013368315,0.00014725444],"about_ca_topic_score_codex":0.0000012544139,"about_ca_topic_score_gemma":1.4263678e-7,"teacher_disagreement_score":0.8938817,"about_ca_system_score_codex":0.00018722555,"about_ca_system_score_gemma":0.0000725712,"threshold_uncertainty_score":0.78025347},"labels":[],"label_agreement":null},{"id":"W4409793699","doi":"10.61091/jcmcc127a-199","title":"Rural e-commerce platform data analytics for economic development","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytics; Data science; Computer science; Data analysis; Business; E-commerce; World Wide Web; Data mining","score_opus":0.037304673856259574,"score_gpt":0.2795599744973204,"score_spread":0.24225530064106082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9355446,0.00024810652,0.027266964,0.0032872753,0.02610148,0.0007519793,0.0000083997475,0.00013898477,0.0066522183],"genre_scores_gemma":[0.99070674,0.000010585354,0.006948039,0.00029083746,0.0019639179,0.0000034933555,0.00002776067,0.000027592721,0.000021027245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99800384,0.000006629339,0.0012461944,0.00020224592,0.00022754255,0.00031353434],"domain_scores_gemma":[0.9975751,0.00043950282,0.00110213,0.00043493486,0.00042562978,0.000022713239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016085512,0.00025547962,0.00063325476,0.0005501622,0.00049021275,0.00039985057,0.0010058683,0.00018080525,0.00000825945],"category_scores_gemma":[0.00041290792,0.0002392663,0.00010027199,0.00035485928,0.00010693109,0.0007414081,0.0008188777,0.00036370516,0.000007875523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049574894,0.00022685563,0.001007633,0.000247907,0.00019914737,0.0000019597915,0.000058535712,0.00001519811,0.00003501215,0.98722756,0.005327139,0.0056035076],"study_design_scores_gemma":[0.005525087,0.00008437599,0.00038439824,0.0004699568,0.00033373613,0.0000140035045,0.0011459794,0.025714105,0.00017152271,0.8876146,0.0781336,0.00040860326],"about_ca_topic_score_codex":0.00002131052,"about_ca_topic_score_gemma":0.0000047026533,"teacher_disagreement_score":0.0996129,"about_ca_system_score_codex":0.00010077242,"about_ca_system_score_gemma":0.00020287458,"threshold_uncertainty_score":0.9756996},"labels":[],"label_agreement":null},{"id":"W4409793700","doi":"10.61091/jcmcc127a-165","title":"Path Optimization and Decision Making Mechanism for Driverless Vehicles in Intelligent Transportation Systems under Vehicle-Circuit Collaboration","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Path (computing); Intelligent transportation system; Computer science; Operations research; Transport engineering; Engineering; Computer network","score_opus":0.00930020857722024,"score_gpt":0.23905831020845775,"score_spread":0.2297581016312375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53985304,0.00031424675,0.45582658,0.00002472369,0.0036343313,0.0002785693,0.0000023798789,0.00003942468,0.000026729234],"genre_scores_gemma":[0.9918454,0.00014233022,0.007850563,0.000008958419,0.00012184834,0.000006425233,0.000002168107,0.000021589827,6.886788e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985555,0.000030320156,0.0008975873,0.0001431208,0.00019097776,0.00018248416],"domain_scores_gemma":[0.9987004,0.0005145691,0.0003138712,0.00009967126,0.00032935198,0.00004212994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007255514,0.00018162615,0.0004625552,0.00028426433,0.00015212748,0.00012109418,0.00013821285,0.00024984518,5.044282e-7],"category_scores_gemma":[0.00009016327,0.00018532599,0.000051405445,0.00031167036,0.00003503434,0.00017932139,0.000022743543,0.00026058924,1.0941319e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005941207,0.0000901669,0.00018838365,0.000370884,0.000055528075,0.0000034839038,0.0007039143,0.078286536,0.00032675496,0.91665673,0.000013685899,0.0032445134],"study_design_scores_gemma":[0.0017577542,0.000117983385,0.00016194087,0.0007158661,0.0000499052,0.000004723533,0.00084372406,0.48190385,0.00037570117,0.5139346,0.000010467319,0.00012350049],"about_ca_topic_score_codex":0.0000023708449,"about_ca_topic_score_gemma":0.0000018556626,"teacher_disagreement_score":0.45199242,"about_ca_system_score_codex":0.00015486666,"about_ca_system_score_gemma":0.00006544158,"threshold_uncertainty_score":0.7557374},"labels":[],"label_agreement":null},{"id":"W4409793701","doi":"10.61091/jcmcc127a-215","title":"Infectious disease prevention strategies for social health: a reinforcement learning-based assessment of the effectiveness of social capital investments","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Social capital; Reinforcement; Reinforcement learning; Infectious disease (medical specialty); Disease; Psychology; Business; Medicine; Computer science; Social psychology; Sociology; Artificial intelligence; Social science; Pathology","score_opus":0.06509524984506102,"score_gpt":0.4098258312459325,"score_spread":0.34473058140087154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9088211,0.00010244612,0.08509604,0.00035186837,0.003954793,0.0013816863,0.000004700273,0.000024699519,0.00026265645],"genre_scores_gemma":[0.9986122,0.000005066269,0.0010685866,0.00003043123,0.00023966299,0.000021362413,0.0000018071408,0.000016695625,0.0000041344874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99647677,0.00093157915,0.001577381,0.00018026016,0.0005648462,0.0002691574],"domain_scores_gemma":[0.99112916,0.0052539487,0.002708083,0.00013751652,0.0007003713,0.000070916554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052179378,0.00025624834,0.0012052177,0.00013663118,0.0005772073,0.000054329867,0.00029183374,0.00012523396,0.0000016659482],"category_scores_gemma":[0.0031558129,0.00018997552,0.0004928477,0.00030071038,0.00020025787,0.00008934844,0.0002515421,0.00037133464,3.2307867e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032629145,0.00096857507,0.001968114,0.0048829317,0.0003285719,5.1146276e-7,0.00085469394,0.0010479753,0.00010917632,0.9892556,0.000106927255,0.00015061509],"study_design_scores_gemma":[0.0058856783,0.0011201429,0.011014836,0.001071858,0.00027012045,6.308845e-7,0.0005258727,0.0045508146,0.00015224796,0.9752057,0.000056246776,0.000145852],"about_ca_topic_score_codex":0.000013842953,"about_ca_topic_score_gemma":9.0074076e-7,"teacher_disagreement_score":0.08979114,"about_ca_system_score_codex":0.0003232606,"about_ca_system_score_gemma":0.0010631256,"threshold_uncertainty_score":0.77469766},"labels":[],"label_agreement":null},{"id":"W4409793704","doi":"10.61091/jcmcc127a-191","title":"Exploration on the Development of Physical Education Teaching Integration Mode in Colleges and Universities Based on Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics education; Mode (computer interface); Psychology; Engineering; Engineering management; Computer science; Engineering ethics; Human–computer interaction","score_opus":0.02492341822731564,"score_gpt":0.27921701554596867,"score_spread":0.25429359731865303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98203284,0.0000072155526,0.011603065,0.0018916882,0.0016036631,0.00018231258,2.3999343e-7,0.000012861248,0.0026661276],"genre_scores_gemma":[0.99855125,8.6051176e-7,0.0010594361,0.00009404209,0.00028171422,0.0000025744928,0.00000165372,0.0000060142647,0.00000246017],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990495,0.000029241968,0.00052475755,0.00009527205,0.0002112937,0.00008994871],"domain_scores_gemma":[0.9986215,0.000502437,0.00050395157,0.0000957332,0.00026993424,0.000006394112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083989,0.00011945937,0.00024374203,0.0005274466,0.00027479714,0.000111231864,0.0001576613,0.00006503378,8.630389e-7],"category_scores_gemma":[0.00031654656,0.00009259346,0.000034798282,0.00040211133,0.000075276264,0.0002650664,0.00007050511,0.00033721133,4.953304e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055311455,0.00055748643,0.000069757996,0.000069938535,0.000013066221,3.455761e-7,0.0009904236,0.00020824198,0.00024901258,0.98722064,0.0000390448,0.010526698],"study_design_scores_gemma":[0.0004026983,0.00010891577,0.000107335974,0.0009112162,0.000031613177,3.5198238e-7,0.0129896775,0.08514771,0.0024212874,0.8976561,0.000121963785,0.00010113888],"about_ca_topic_score_codex":0.000017073446,"about_ca_topic_score_gemma":0.000004972301,"teacher_disagreement_score":0.08956458,"about_ca_system_score_codex":0.00006771463,"about_ca_system_score_gemma":0.00016103366,"threshold_uncertainty_score":0.37758517},"labels":[],"label_agreement":null},{"id":"W4409793705","doi":"10.61091/jcmcc127a-214","title":"Model Design of Art Design Teaching Reform by Integrating Virtual Reality Technology Guided by Patent Achievement Transformation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Virtual reality; Mathematics education; Computer science; Human–computer interaction; Engineering; Engineering management; Psychology; Chemistry","score_opus":0.040408678304554,"score_gpt":0.291570032847933,"score_spread":0.25116135454337896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793705","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039521977,0.00013748137,0.9549324,0.00082340214,0.0032756666,0.0004097161,0.0000029853693,0.000063591535,0.000832804],"genre_scores_gemma":[0.9472833,0.000038144255,0.052526712,0.00003683223,0.00007233083,0.000005579251,0.0000026517548,0.000015990736,0.00001843335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966243,0.0002021558,0.0018307349,0.0002655692,0.00071060023,0.00036666828],"domain_scores_gemma":[0.9973338,0.00050053507,0.0012061358,0.0003179335,0.00050249504,0.00013910314],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003613548,0.00032206828,0.000807256,0.0002864319,0.00027737618,0.00025533652,0.0009504209,0.00020793885,4.6828444e-7],"category_scores_gemma":[0.0003647465,0.00026864992,0.00013840038,0.00045689393,0.000093064074,0.00069711125,0.0003068405,0.0006005582,7.63293e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006862971,0.00088219927,0.000006391302,0.00014359802,0.000118383236,0.0000027660292,0.0012119492,0.00072097394,0.006837384,0.97624004,0.0023042634,0.011463411],"study_design_scores_gemma":[0.0026295509,0.0014598689,9.1281817e-7,0.00079042267,0.000054736385,0.000016848939,0.0004813613,0.46567902,0.015368346,0.51298356,0.0002953141,0.00024005034],"about_ca_topic_score_codex":0.000007134387,"about_ca_topic_score_gemma":6.183179e-8,"teacher_disagreement_score":0.90776134,"about_ca_system_score_codex":0.00024255658,"about_ca_system_score_gemma":0.00023943746,"threshold_uncertainty_score":0.9999766},"labels":[],"label_agreement":null},{"id":"W4409793706","doi":"10.61091/jcmcc127a-156","title":"Numerical Linear Algebra for Optimisation Methods in Engineering and Technology Problems","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Mechanical Systems and Engineering","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Algebra over a field; Numerical linear algebra; Linear algebra; Computer science; Mathematics; Numerical analysis; Applied mathematics; Pure mathematics; Mathematical analysis; Geometry","score_opus":0.013401012525420902,"score_gpt":0.27746643841808405,"score_spread":0.26406542589266313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793706","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2618083,0.0013445033,0.7220775,0.00047715768,0.013169899,0.0006437625,6.5389946e-7,0.000099861056,0.0003783714],"genre_scores_gemma":[0.88327044,0.000022558255,0.116256766,0.000007053386,0.0004046458,0.00000886682,4.5407174e-7,0.000024500405,0.0000047066046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984058,0.00004644881,0.0009635023,0.00016809639,0.0001596284,0.0002564938],"domain_scores_gemma":[0.9984632,0.00078300625,0.00033351764,0.000122592,0.00021315034,0.000084530446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015929834,0.00019228739,0.0006691897,0.00036917045,0.00008109134,0.00006971837,0.00017352522,0.00022745384,0.000001309885],"category_scores_gemma":[0.0010711044,0.00017628219,0.00007347535,0.00048178158,0.000020033453,0.000087232474,0.00010010107,0.0003510253,1.6342482e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023703751,0.00011211239,0.00004420341,0.00059362577,0.000063187734,0.0000025999966,0.00017837585,0.00641681,0.0043153106,0.98309654,0.000012467995,0.0051410445],"study_design_scores_gemma":[0.0033335392,0.00034214483,0.000017645756,0.0008749696,0.00004940949,0.000031085234,0.00009848688,0.47453198,0.002711448,0.51506823,0.0027304352,0.00021062541],"about_ca_topic_score_codex":0.000017437673,"about_ca_topic_score_gemma":2.6972234e-7,"teacher_disagreement_score":0.62146217,"about_ca_system_score_codex":0.0000732686,"about_ca_system_score_gemma":0.000045386598,"threshold_uncertainty_score":0.71885794},"labels":[],"label_agreement":null},{"id":"W4409793708","doi":"10.61091/jcmcc127a-238","title":"Digital Protection and Recovery Method of Traditional Paper Horse Art Based on Image Processing Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Image processing; Computer vision; Digital image processing; Artificial intelligence; Computer graphics (images); Image (mathematics)","score_opus":0.015498882905002051,"score_gpt":0.2692183602229169,"score_spread":0.25371947731791483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793708","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11930793,0.00013490493,0.8638269,0.0013399301,0.008027463,0.0004427582,0.000003932782,0.00008374834,0.0068324665],"genre_scores_gemma":[0.95063704,0.0000055965074,0.04906894,0.00003725165,0.00021954834,0.0000036276574,7.243514e-7,0.000012398141,0.00001484368],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982514,0.000054050437,0.0007888228,0.00023368884,0.00046801573,0.00020403102],"domain_scores_gemma":[0.9980527,0.0005450903,0.00067859056,0.00018634862,0.00044200753,0.000095265386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008645241,0.00020860237,0.0005361951,0.0004055636,0.000154818,0.0004035811,0.00036512795,0.00014192263,0.0000011884865],"category_scores_gemma":[0.0004965421,0.00018083793,0.0001082623,0.0006001809,0.00010946011,0.00079671433,0.00017376112,0.00032121493,7.4797254e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012825699,0.001140932,0.00004047357,0.00048752385,0.00006846203,0.00001787426,0.00016061688,0.0000311473,0.0017040749,0.8493874,0.00016673996,0.1466665],"study_design_scores_gemma":[0.0029047532,0.0021340088,0.00007355166,0.0015292375,0.000043164302,0.00008562684,0.000110064495,0.06373431,0.0037229497,0.924778,0.00065836665,0.00022596637],"about_ca_topic_score_codex":3.6775762e-7,"about_ca_topic_score_gemma":2.3970903e-8,"teacher_disagreement_score":0.83132917,"about_ca_system_score_codex":0.000048249545,"about_ca_system_score_gemma":0.0002088173,"threshold_uncertainty_score":0.7374357},"labels":[],"label_agreement":null},{"id":"W4409793709","doi":"10.61091/jcmcc127a-166","title":"Simulation of Benefit Distribution Strategies Based on Game Theory in the Dairy Industry Chain","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Dairy industry; Game theory; Chain (unit); Computer science; Industrial organization; Business; Microeconomics; Economics; Mathematics; Chemistry; Food science; Physics","score_opus":0.014269000111344736,"score_gpt":0.2632602517174825,"score_spread":0.24899125160613778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97912806,0.00004387867,0.013160249,0.0012360995,0.0031774275,0.0002604939,0.0000019020537,0.000026593498,0.0029652836],"genre_scores_gemma":[0.9991641,0.0000013542059,0.00008163977,0.00020520724,0.0005278186,0.0000021615824,0.0000063428106,0.000009443656,0.0000019375502],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984862,0.000041925112,0.0008354643,0.00011705956,0.00034619938,0.00017314118],"domain_scores_gemma":[0.99725235,0.0011857339,0.00090145075,0.00021076114,0.00044199362,0.000007727525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002201249,0.00016937991,0.00038458707,0.00041925546,0.00016277056,0.00019395447,0.00037747246,0.00025423613,0.0000039661113],"category_scores_gemma":[0.00082741067,0.00013034379,0.00008747707,0.0009749081,0.00012095553,0.00031308382,0.000095729796,0.000724283,6.977902e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008052719,0.00046028307,0.001221158,0.0001555467,0.000025596217,0.0000038041235,0.00011628887,0.008296092,0.000024005894,0.98844326,0.0000702156,0.0011032405],"study_design_scores_gemma":[0.0021958342,0.00010653316,0.0019694262,0.00053318695,0.000068567475,0.0000011443734,0.0017498278,0.07999398,0.000050889008,0.91282463,0.0003917011,0.000114282106],"about_ca_topic_score_codex":0.000015774502,"about_ca_topic_score_gemma":0.0000011572679,"teacher_disagreement_score":0.07561861,"about_ca_system_score_codex":0.000041731688,"about_ca_system_score_gemma":0.00007486663,"threshold_uncertainty_score":0.53152657},"labels":[],"label_agreement":null},{"id":"W4409793711","doi":"10.61091/jcmcc127a-174","title":"Study on the Application of SPA-based Single Packet Knocking Technology in Network Security Protection and Resistance Efficacy against DDOS and Web Attacks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Denial-of-service attack; Computer security; Computer network; Network security; Computer science; Application layer DDoS attack; Trinoo; Network packet; The Internet; World Wide Web","score_opus":0.01422230107463709,"score_gpt":0.25537517077757604,"score_spread":0.24115286970293895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97556746,0.00024609859,0.020217383,0.0007370095,0.002223781,0.00074417086,2.8149853e-7,0.000032078213,0.00023173535],"genre_scores_gemma":[0.9986259,0.00001963686,0.0011015151,0.000026822532,0.00020965065,0.0000073096826,1.16843886e-7,0.00000838391,7.0412284e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981803,0.0002353621,0.00079094333,0.0002560284,0.00033257474,0.00020477733],"domain_scores_gemma":[0.9977785,0.00079054275,0.00083088875,0.0002938107,0.00025938885,0.000046881367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020492089,0.00018573462,0.0004754253,0.00030507936,0.00031685855,0.00016074107,0.00035661057,0.0001511566,1.9089067e-7],"category_scores_gemma":[0.00038000595,0.00015163998,0.000049210827,0.0010074052,0.00010536516,0.00013291137,0.00026405984,0.00056436984,1.1957025e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001743734,0.0011938928,0.00096879585,0.00015541374,0.000048514445,0.000006931868,0.0011671841,0.00023139539,0.0008734639,0.98751974,0.000040602514,0.0076196776],"study_design_scores_gemma":[0.00480174,0.001431982,0.0008370027,0.001227062,0.00003856176,0.000010861202,0.0004536924,0.08843318,0.0017053182,0.9004482,0.00039240153,0.00022001956],"about_ca_topic_score_codex":0.0000038695325,"about_ca_topic_score_gemma":0.0000056353997,"teacher_disagreement_score":0.08820178,"about_ca_system_score_codex":0.000069707734,"about_ca_system_score_gemma":0.00007686126,"threshold_uncertainty_score":0.6183699},"labels":[],"label_agreement":null},{"id":"W4409793713","doi":"10.61091/jcmcc127a-154","title":"Research on slope-oriented prediction method for shallow loess landslides","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Weifang University of Science and Technology","keywords":"Landslide; Loess; Geology; Geomorphology; Geotechnical engineering","score_opus":0.020325248228234897,"score_gpt":0.3232685284237071,"score_spread":0.30294328019547223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87043726,0.00021864935,0.07779584,0.00083273125,0.029239077,0.0011251987,0.000011504655,0.000069638656,0.0202701],"genre_scores_gemma":[0.9858212,0.000043662425,0.013131059,0.00004434284,0.00080493523,0.000006888061,0.0000024275603,0.000025655123,0.00011984391],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99750227,0.00019823402,0.0008444311,0.00026972877,0.00079389045,0.00039145394],"domain_scores_gemma":[0.9973399,0.0015799283,0.00042078015,0.00021969665,0.00029059505,0.00014912251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004727852,0.00021103879,0.0005266863,0.00023235637,0.0005449818,0.00015759899,0.00036333827,0.0002358393,0.000027406326],"category_scores_gemma":[0.0005642925,0.00015858769,0.00016941302,0.0005789637,0.00010761779,0.00013914383,0.00028543256,0.0006694882,0.000004823158],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007993416,0.0011285347,0.0018143259,0.00024463906,0.0002441747,0.00001813834,0.001055653,0.0013725389,0.0010051104,0.9746798,0.0073600328,0.010277689],"study_design_scores_gemma":[0.010222938,0.0027128265,0.0013077962,0.0010760389,0.00020155024,0.000048159203,0.0009671864,0.050032664,0.0020992877,0.8995647,0.03141192,0.0003549577],"about_ca_topic_score_codex":0.000016598147,"about_ca_topic_score_gemma":9.4786265e-7,"teacher_disagreement_score":0.11538392,"about_ca_system_score_codex":0.00021605028,"about_ca_system_score_gemma":0.000075223616,"threshold_uncertainty_score":0.6467019},"labels":[],"label_agreement":null},{"id":"W4409793714","doi":"10.61091/jcmcc127a-234","title":"Construction of an Interactive Network for Teaching Physical Education in a Digital Web Analytics Model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Analytics; Web analytics; World Wide Web; Data science; Multimedia; Web service; Web intelligence; Web modeling","score_opus":0.00756580945325364,"score_gpt":0.29655375218416774,"score_spread":0.2889879427309141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.776984,0.000030322859,0.21816875,0.00016087467,0.0040903175,0.00014688837,0.0000016048493,0.000018390725,0.0003988957],"genre_scores_gemma":[0.9016384,0.0000034415827,0.09769205,0.000011384719,0.0006354385,8.941356e-7,0.0000014873009,0.000009603042,0.0000073206247],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984359,0.00006188686,0.0008261587,0.00018901411,0.00027998662,0.00020705101],"domain_scores_gemma":[0.99755985,0.0007084788,0.00089796406,0.00020558556,0.0005476912,0.000080459096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009878152,0.00017345752,0.0005928083,0.0002961875,0.00013297697,0.00024239642,0.0004524734,0.0000898174,8.4552575e-8],"category_scores_gemma":[0.000554597,0.00016412245,0.00014826073,0.0003506441,0.0000644147,0.00059083,0.00016495021,0.00048103553,8.4911946e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049455768,0.0009461438,0.00021675632,0.000110184774,0.00005290278,0.0000010117881,0.00091348984,0.007962139,0.000078112505,0.9711308,0.000045603458,0.0184934],"study_design_scores_gemma":[0.0009653453,0.0002894804,0.000012391563,0.00030579607,0.000028733497,0.000007972158,0.00030666392,0.5019398,0.00004078735,0.49600497,0.00002467903,0.00007342889],"about_ca_topic_score_codex":0.0000028106758,"about_ca_topic_score_gemma":3.1191198e-7,"teacher_disagreement_score":0.49397764,"about_ca_system_score_codex":0.00008564385,"about_ca_system_score_gemma":0.00072116137,"threshold_uncertainty_score":0.66927195},"labels":[],"label_agreement":null},{"id":"W4409793715","doi":"10.61091/jcmcc127a-232","title":"Research on the Construction of Evolutionary Stabilization and Signaling Game Model for IoT Privacy Protection","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internet of Things; Computer security; Internet privacy; Privacy protection; Computer science; Business","score_opus":0.06568580307657759,"score_gpt":0.33114120741323555,"score_spread":0.26545540433665793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9637691,0.00011122663,0.03041683,0.0018330772,0.002626096,0.00070116465,8.0067787e-7,0.000008667935,0.0005330722],"genre_scores_gemma":[0.9951348,0.00007344338,0.0044402913,0.00000880243,0.00030910864,0.0000071682543,3.448962e-7,0.0000068927397,0.000019195608],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983726,0.0002057938,0.00051718147,0.00011611458,0.00061929075,0.00016898011],"domain_scores_gemma":[0.9977374,0.0012013238,0.00041392015,0.00008111455,0.00051642634,0.000049809856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034141913,0.00009254698,0.00023779405,0.00018154537,0.00066820736,0.00007948519,0.00015982505,0.00010202205,0.0000018645342],"category_scores_gemma":[0.00084343884,0.00007229601,0.000059048343,0.00027944584,0.00029919445,0.000082289254,0.00007856605,0.00024161262,1.2563447e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010932656,0.00013555175,0.00011008466,0.000095819036,0.00003393868,1.6640101e-7,0.003357601,0.00079819345,0.00033783316,0.99384326,0.000096787684,0.0010814266],"study_design_scores_gemma":[0.0009660953,0.00022047252,0.00014701442,0.0003600546,0.000025043202,0.000001627571,0.0027041582,0.049301706,0.00039141029,0.9450929,0.0007180891,0.000071406015],"about_ca_topic_score_codex":0.000011110738,"about_ca_topic_score_gemma":4.3074218e-7,"teacher_disagreement_score":0.04875035,"about_ca_system_score_codex":0.00015392239,"about_ca_system_score_gemma":0.00032000546,"threshold_uncertainty_score":0.51393783},"labels":[],"label_agreement":null},{"id":"W4409793716","doi":"10.61091/jcmcc127a-171","title":"Fault Diagnosis and Prediction Techniques for Advanced Measurement Systems in Flexible Production of Metrology and Inspection","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metrology; Fault (geology); Reliability engineering; Production (economics); Computer science; Engineering; Geology; Mathematics; Statistics","score_opus":0.012343413381986641,"score_gpt":0.2465439645500346,"score_spread":0.23420055116804797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9648585,0.0033725179,0.012978719,0.00006742263,0.017603703,0.000864823,0.0000018113064,0.0001006335,0.00015192816],"genre_scores_gemma":[0.9987571,0.000273913,0.00059534,0.0000019357915,0.0003216145,0.000034520373,2.7282087e-7,0.000013511197,0.0000017622679],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863875,0.000055388642,0.0008216485,0.0001265926,0.00022589495,0.00013170629],"domain_scores_gemma":[0.99900866,0.00017904298,0.00032663898,0.00008226141,0.0003611069,0.000042316835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014114233,0.00014347675,0.00052793307,0.00034994833,0.000087143555,0.000053028536,0.000059963848,0.00012829724,1.0755311e-7],"category_scores_gemma":[0.0003620915,0.00013699783,0.0000463229,0.00022354447,0.000036712056,0.0001329768,0.00002641457,0.00017962453,2.021766e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015250961,0.0015371221,0.0077511654,0.014155002,0.001274245,0.0000061517794,0.0037299658,0.010803183,0.11703152,0.7559643,0.0011252012,0.085097045],"study_design_scores_gemma":[0.027619597,0.0061071566,0.0031512587,0.008940235,0.0007369723,0.00023091417,0.0046196217,0.5042536,0.0986932,0.33641404,0.008192277,0.0010411402],"about_ca_topic_score_codex":0.0000153768,"about_ca_topic_score_gemma":0.0000019572228,"teacher_disagreement_score":0.4934504,"about_ca_system_score_codex":0.00013024306,"about_ca_system_score_gemma":0.000027435357,"threshold_uncertainty_score":0.558661},"labels":[],"label_agreement":null},{"id":"W4409793717","doi":"10.61091/jcmcc127a-236","title":"Analysis of Classroom Interaction Efficacy of English Teachers in Higher Education and Modeling Research Based on Multiple Regression","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics education; Regression analysis; Psychology; Pedagogy; Sociology; Statistics; Mathematics","score_opus":0.06309544884422023,"score_gpt":0.38305169408352596,"score_spread":0.3199562452393057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857704,0.0002096556,0.0051499563,0.00037520888,0.0077286186,0.00013912791,4.2278376e-7,0.000012024368,0.00061456533],"genre_scores_gemma":[0.9958811,0.000016666489,0.0038849358,0.000011786726,0.00018943277,0.000001756811,0.0000010922645,0.0000056041868,0.000007629836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981064,0.00024297915,0.00086371816,0.00020064574,0.0004299034,0.00015630858],"domain_scores_gemma":[0.9952053,0.0027109054,0.0006172071,0.00027288147,0.0011409152,0.000052806092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022504805,0.0001286517,0.0005351176,0.0016222172,0.000105156396,0.000054974294,0.00041122606,0.0001784445,0.0000020178802],"category_scores_gemma":[0.0021521898,0.000115000024,0.000101691316,0.0014389413,0.000088726,0.00017357164,0.00016184851,0.0005903984,6.5651506e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015737646,0.0022315665,0.010324103,0.00016080304,0.00018748596,0.0000010907979,0.0037858838,0.0052572037,0.0003865126,0.9716801,0.00006109408,0.005766761],"study_design_scores_gemma":[0.0036654454,0.00059922884,0.0071020285,0.0017076195,0.00018178251,0.0000014608567,0.0013493777,0.65019196,0.0011394232,0.3337187,0.00016666167,0.00017632084],"about_ca_topic_score_codex":0.000025877704,"about_ca_topic_score_gemma":0.0000011187808,"teacher_disagreement_score":0.6449348,"about_ca_system_score_codex":0.000101110825,"about_ca_system_score_gemma":0.0003508283,"threshold_uncertainty_score":0.46895647},"labels":[],"label_agreement":null},{"id":"W4409793718","doi":"10.61091/jcmcc127a-204","title":"Multidimensional analysis of remote sensing monitoring data and quantitative assessment of ecological effects in marine ecological reserves","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Ecology; Environmental science; Marine reserve; Nature reserve; Ecological assessment; Environmental resource management; Remote sensing; Geography; Biology; Habitat","score_opus":0.045496664069705525,"score_gpt":0.32915119984791796,"score_spread":0.2836545357782124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99758977,0.000111047186,0.00025843884,0.00016372051,0.0015981619,0.00016062663,0.0000053816334,0.0000052849377,0.000107595246],"genre_scores_gemma":[0.9738659,0.000036604088,0.025958495,0.000005807029,0.00012423808,1.3810845e-7,0.0000063532702,0.0000010778306,0.0000013799487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99787027,0.0003284681,0.0010830567,0.00023685946,0.00028331648,0.00019802565],"domain_scores_gemma":[0.99399364,0.004679972,0.0008757025,0.000107943306,0.00027370127,0.00006906289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022521624,0.00016926424,0.0010286495,0.00013335337,0.000107540975,0.00002899591,0.00030677713,0.00022607928,0.0000062712606],"category_scores_gemma":[0.0013943566,0.00008268072,0.000108239845,0.0007686181,0.00015472944,0.000087374734,0.0007244171,0.00039340145,4.2314607e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072513265,0.0037065546,0.24791127,0.0007993322,0.0026477533,0.000112409674,0.00070630154,0.00040960606,0.109190546,0.56220275,0.00004123779,0.07154712],"study_design_scores_gemma":[0.002977512,0.0033384168,0.6648596,0.00088938046,0.0007424446,0.000014707342,0.0012407078,0.1502982,0.002470728,0.17283243,0.000051346775,0.0002845209],"about_ca_topic_score_codex":0.00006867528,"about_ca_topic_score_gemma":0.000012176705,"teacher_disagreement_score":0.41694835,"about_ca_system_score_codex":0.00003351785,"about_ca_system_score_gemma":0.000045867895,"threshold_uncertainty_score":0.33716223},"labels":[],"label_agreement":null},{"id":"W4409793719","doi":"10.61091/jcmcc127a-178","title":"The Role and Optimization of Multi-task Learning Models in Legal Decision Prediction","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Task (project management); Computer science; Artificial intelligence; Machine learning; Multi-task learning; Management science; Psychology; Engineering; Systems engineering","score_opus":0.02259824559106606,"score_gpt":0.30587345357685153,"score_spread":0.2832752079857855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7812086,0.0015720988,0.19968006,0.000271651,0.013012074,0.0005147433,9.995535e-7,0.00003226095,0.003707509],"genre_scores_gemma":[0.9942493,0.00036410062,0.005087276,0.0000040517857,0.00027324006,0.0000011583974,2.0330512e-7,0.000008958393,0.000011706132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99798095,0.0002371559,0.00097000453,0.00012484922,0.00047653387,0.00021051314],"domain_scores_gemma":[0.99695754,0.0016953595,0.0006646801,0.00009449491,0.0005176784,0.00007021892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034765482,0.000118056814,0.00034497562,0.00016556756,0.0006913767,0.0002216179,0.00025368895,0.00014316218,0.0000012408514],"category_scores_gemma":[0.0018488204,0.000097696786,0.000065496635,0.0003811048,0.00025217546,0.00033314977,0.00012835657,0.00038169007,1.328885e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008557014,0.00017024789,0.0007196238,0.000023083727,0.000023540188,0.0000016068835,0.0045071593,0.039683163,0.00007330889,0.94362754,0.000008657518,0.011076499],"study_design_scores_gemma":[0.0007648174,0.00014382492,0.000040797364,0.00034242342,0.000027314776,0.0000023232874,0.004984807,0.4113073,0.0001636935,0.5814006,0.0007494146,0.000072721705],"about_ca_topic_score_codex":0.00017141581,"about_ca_topic_score_gemma":0.000021956987,"teacher_disagreement_score":0.37162414,"about_ca_system_score_codex":0.00009532756,"about_ca_system_score_gemma":0.00020137809,"threshold_uncertainty_score":0.531758},"labels":[],"label_agreement":null},{"id":"W4409793720","doi":"10.61091/jcmcc127a-198","title":"A Path Modeling Study on the Integration of Science and Technology and Education for Quality Improvement of Vocational Education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Path (computing); Quality (philosophy); Engineering management; Mathematics education; Engineering; Computer science; Medical education; Sociology; Pedagogy; Psychology; Medicine; Physics","score_opus":0.03232648483106654,"score_gpt":0.35587701426580454,"score_spread":0.323550529434738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9307656,0.00012904989,0.06311178,0.0013279527,0.004001472,0.00046046998,4.4367596e-7,0.000007330529,0.0001958577],"genre_scores_gemma":[0.9938127,0.0000059703875,0.006046126,0.000026832573,0.00008361469,0.000012503944,2.7667144e-7,0.0000035684016,0.0000084262465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985585,0.000065764674,0.0007676562,0.00016012635,0.0003558843,0.00009204669],"domain_scores_gemma":[0.99614877,0.00050138397,0.0008326094,0.00020903314,0.002268796,0.000039388426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031824026,0.00009822451,0.00025785677,0.0005182607,0.00028710003,0.00011872893,0.00036108695,0.000045899724,3.0754558e-7],"category_scores_gemma":[0.0018910797,0.000075135365,0.000039062783,0.0007036341,0.00016857353,0.00016974637,0.00014931762,0.00016959546,3.0754947e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000124614235,0.0011946076,0.00026714453,0.000115913586,0.000022629976,1.3317819e-8,0.0021060165,0.000005510646,0.0021740915,0.9746351,0.000035211993,0.019431263],"study_design_scores_gemma":[0.0011081969,0.0012284172,0.0016144813,0.0006992522,0.000045825407,0.00000400911,0.011431838,0.03201958,0.0017045751,0.9500118,0.000037562077,0.00009447267],"about_ca_topic_score_codex":0.000012444529,"about_ca_topic_score_gemma":2.806982e-7,"teacher_disagreement_score":0.063047044,"about_ca_system_score_codex":0.00006421648,"about_ca_system_score_gemma":0.0010735302,"threshold_uncertainty_score":0.30639315},"labels":[],"label_agreement":null},{"id":"W4409793721","doi":"10.61091/jcmcc127a-263","title":"Research on hierarchical recursive power supply meshing algorithm considering the dynamic change of grid loads","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science and Technology Project of State Grid; State Grid Corporation of China","keywords":"Computer science; Power grid; Grid; Dynamic demand; Power (physics); Algorithm; Parallel computing; Mathematics; Geometry","score_opus":0.02283153843934767,"score_gpt":0.2940184822495729,"score_spread":0.27118694381022523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.941933,0.0032971043,0.0070350566,0.0007248651,0.042736538,0.00077363144,0.000011565801,0.00015717348,0.0033311062],"genre_scores_gemma":[0.99741966,0.00014439142,0.0019135536,0.000012527841,0.00046848852,0.000006097487,5.551392e-7,0.000030711864,0.000004041152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975094,0.00016018416,0.0010104476,0.00017245932,0.00072557025,0.00042192094],"domain_scores_gemma":[0.9968195,0.0018997205,0.0003583615,0.000345882,0.00049236516,0.00008415404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027142616,0.00025668668,0.0007338116,0.000517603,0.00028060062,0.00015608162,0.00060607377,0.00023392426,0.0000029893326],"category_scores_gemma":[0.00041713347,0.00019222533,0.00016041995,0.0006173156,0.00023299789,0.00013627915,0.00030201869,0.0013308413,0.0000011621137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004303215,0.00020483452,0.00005937285,0.00029108947,0.0002553313,0.000035622423,0.0019740127,0.00009989447,0.00039627176,0.9883991,0.0008154388,0.007426038],"study_design_scores_gemma":[0.0036511926,0.0013338823,0.0004461369,0.0036619233,0.00009673206,0.000096768854,0.0043069366,0.019413276,0.003682064,0.9585417,0.004341341,0.00042803917],"about_ca_topic_score_codex":0.0000116814335,"about_ca_topic_score_gemma":6.4055416e-7,"teacher_disagreement_score":0.055486675,"about_ca_system_score_codex":0.00015252577,"about_ca_system_score_gemma":0.00008889642,"threshold_uncertainty_score":0.7838722},"labels":[],"label_agreement":null},{"id":"W4409793722","doi":"10.61091/jcmcc127a-180","title":"Deep Neural Network Adaptive Learning Model Design for English Literacy Instruction","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial neural network; Literacy; Deep learning; Artificial intelligence; Mathematics education; Psychology; Pedagogy","score_opus":0.024194883968420428,"score_gpt":0.2913676933473321,"score_spread":0.26717280937891164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793722","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046274193,0.0003932674,0.9331532,0.00022505346,0.019229569,0.0002803952,2.399789e-7,0.00008160846,0.00036248847],"genre_scores_gemma":[0.74962217,0.000018405945,0.24913564,0.000041507614,0.0011438878,0.0000058643977,6.2009127e-7,0.000012120529,0.000019769706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99811643,0.00014472207,0.0008674564,0.00025020045,0.00028650754,0.00033469195],"domain_scores_gemma":[0.9959588,0.0016831049,0.0008178845,0.00021786305,0.0012305033,0.00009186127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001681918,0.00022748858,0.0005185788,0.00024402444,0.0005297094,0.00027970862,0.00069684896,0.00021748286,7.151106e-7],"category_scores_gemma":[0.0009104801,0.00021988884,0.00015048523,0.00046415132,0.000069373375,0.0005092491,0.00025971324,0.0006375327,3.1304705e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007931882,0.00015247839,0.0000685766,0.000054615313,0.00007651742,0.0000018812178,0.00167207,0.045124654,0.000023295921,0.94108695,0.00024922757,0.011410406],"study_design_scores_gemma":[0.001357198,0.0003239955,0.000014491488,0.00009031642,0.000029792094,0.00001583082,0.00011271156,0.49413046,0.00007247004,0.50345445,0.00029396353,0.00010434435],"about_ca_topic_score_codex":0.0000013560124,"about_ca_topic_score_gemma":8.170059e-8,"teacher_disagreement_score":0.703348,"about_ca_system_score_codex":0.00008981289,"about_ca_system_score_gemma":0.00029309737,"threshold_uncertainty_score":0.89668065},"labels":[],"label_agreement":null},{"id":"W4409794794","doi":"10.61091/jcmcc127b-528","title":"Digital Twin Structure Monitoring System and Key Technologies of Distribution Network Based on Intelligent Communication Network","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Technology and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Key (lock); Computer science; Network structure; Computer network; Distributed computing; Computer security","score_opus":0.00787228107121735,"score_gpt":0.23118807177476583,"score_spread":0.22331579070354848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5850818,0.0033844816,0.3895462,0.00062867615,0.019784166,0.0006444079,0.000009199953,0.00038347518,0.00053762505],"genre_scores_gemma":[0.99301344,0.000032588847,0.006671842,0.0000042937672,0.00026409465,0.0000015853632,0.000001885009,0.00000902655,0.0000012151701],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99796706,0.000119985765,0.0010342678,0.00021354109,0.00038775374,0.00027738264],"domain_scores_gemma":[0.9970684,0.0008882332,0.0010867764,0.0005135728,0.00038835575,0.000054643817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011610957,0.00023743875,0.00068747165,0.00016638634,0.00034277156,0.00029518543,0.00089933345,0.00031169972,1.2565651e-7],"category_scores_gemma":[0.00036868,0.00020912314,0.000100707075,0.0006332558,0.0001401189,0.0002346416,0.00053717964,0.00059577654,1.7502391e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041742063,0.00012038658,0.0018584332,0.0002801638,0.00006874595,0.0000048253232,0.0002282934,0.0010147452,0.000026199214,0.98975265,0.00012058878,0.0064832107],"study_design_scores_gemma":[0.0024593505,0.0008755911,0.0004978063,0.00501076,0.00008314794,0.000059502407,0.00095730874,0.14452945,0.0020025661,0.8423612,0.0008180044,0.0003452804],"about_ca_topic_score_codex":0.0000023710231,"about_ca_topic_score_gemma":1.4948137e-7,"teacher_disagreement_score":0.4079317,"about_ca_system_score_codex":0.00011813713,"about_ca_system_score_gemma":0.000089371635,"threshold_uncertainty_score":0.85277945},"labels":[],"label_agreement":null},{"id":"W4409794795","doi":"10.61091/jcmcc127b-511","title":"Research on optimization strategy of dynamic planning method in resource balancing in online and offline integrated teaching in higher education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Resource (disambiguation); Online teaching; Engineering management; Knowledge management; Mathematics education; Engineering; Psychology; Computer network","score_opus":0.03565371383605181,"score_gpt":0.40103228602989077,"score_spread":0.36537857219383896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9712037,0.0003741566,0.023743622,0.0011772325,0.0025056493,0.00022769619,5.5101265e-7,0.000013562557,0.0007538681],"genre_scores_gemma":[0.945326,0.000013875228,0.05454333,0.000022441225,0.000072725605,0.0000022659663,0.0000018243971,0.0000070416195,0.000010542327],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978391,0.00043718217,0.0009593869,0.00022022858,0.00033339244,0.00021069414],"domain_scores_gemma":[0.99769753,0.0014494119,0.00043987206,0.00017033756,0.00020132237,0.000041545507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043813973,0.00014111958,0.0004482578,0.0013333021,0.00008632636,0.00008443726,0.0003970263,0.00016173799,8.135818e-7],"category_scores_gemma":[0.00037330252,0.00013341679,0.000028034088,0.001043463,0.000045471435,0.00018902494,0.00019630321,0.0011410365,3.6693343e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048502516,0.0013208981,0.0014223675,0.00012950505,0.000013951519,0.000007531795,0.0007407307,0.016376667,0.00019801938,0.9712649,0.00002313012,0.008453797],"study_design_scores_gemma":[0.0027846731,0.00044252074,0.010960188,0.0037528551,0.000008709791,0.00001316497,0.0032560523,0.3509953,0.00013017196,0.6274306,0.00006610802,0.00015967074],"about_ca_topic_score_codex":0.00003107021,"about_ca_topic_score_gemma":0.0000035963733,"teacher_disagreement_score":0.3438343,"about_ca_system_score_codex":0.00023814889,"about_ca_system_score_gemma":0.00041526032,"threshold_uncertainty_score":0.54405785},"labels":[],"label_agreement":null},{"id":"W4409794807","doi":"10.61091/jcmcc127b-533","title":"Design and research of a new high power railroad tie laser cutting robot","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Qilu University of Technology","keywords":"Robot; Power (physics); Laser; Engineering; Mechanical engineering; Electrical engineering; Computer science; Artificial intelligence; Optics; Physics","score_opus":0.02781820458002536,"score_gpt":0.3120707049046558,"score_spread":0.28425250032463045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69208664,0.0013057275,0.29695615,0.00017026735,0.007899708,0.0004720758,0.0000011646745,0.00015390778,0.00095434167],"genre_scores_gemma":[0.8977347,0.00008865394,0.10185537,0.000006633646,0.00026189507,0.0000012602345,2.3972032e-7,0.000038638755,0.000012614376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977467,0.00014876208,0.0009995227,0.00016628052,0.0005639599,0.0003747468],"domain_scores_gemma":[0.9971263,0.0015674946,0.00036414393,0.00023954373,0.00054295023,0.00015958701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028377154,0.0002466652,0.0007459195,0.00039825265,0.00016961411,0.00016232485,0.00037186296,0.00019641069,0.0000034741222],"category_scores_gemma":[0.00088629697,0.00023811952,0.000080125974,0.0004931982,0.00011323144,0.00024284449,0.00027552037,0.00079914083,4.7946713e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023345435,0.00040419566,0.00022622176,0.0010817508,0.00043569756,0.000036517515,0.0044862414,0.008292307,0.01184238,0.95757353,0.0056859786,0.009701738],"study_design_scores_gemma":[0.0027349498,0.00047840114,0.000060681487,0.001257459,0.000061932275,0.000025755731,0.00028461468,0.013742508,0.031421714,0.9489852,0.00069318264,0.00025355374],"about_ca_topic_score_codex":0.000016716753,"about_ca_topic_score_gemma":1.176153e-7,"teacher_disagreement_score":0.20564803,"about_ca_system_score_codex":0.00011108726,"about_ca_system_score_gemma":0.00015365398,"threshold_uncertainty_score":0.9710232},"labels":[],"label_agreement":null},{"id":"W4409794809","doi":"10.61091/jcmcc127b-525","title":"Research on Constructing Task Scheduling and Processing Models for Complex Data Sets Using Multi-Objective Optimization Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Scheduling (production processes); Task (project management); Optimization algorithm; Algorithm; Mathematical optimization; Mathematics; Engineering; Systems engineering","score_opus":0.1269105992066066,"score_gpt":0.3887798224770101,"score_spread":0.2618692232704035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794809","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011823614,0.00034800824,0.9818817,0.00011575666,0.0051270486,0.00053284527,0.000007863916,0.00005443763,0.00010873295],"genre_scores_gemma":[0.27787223,0.000011569041,0.72171354,0.000019582976,0.00035426466,0.0000020127748,0.0000034402788,0.000022255033,0.0000011093707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99661195,0.00028735452,0.0011542939,0.0006010577,0.0008065496,0.0005387807],"domain_scores_gemma":[0.9945183,0.0021339965,0.0010104625,0.0005330143,0.0016271652,0.00017710128],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005403347,0.00032450288,0.00080195797,0.0006427264,0.0010313086,0.00094909524,0.0012352123,0.00020572962,2.1583854e-7],"category_scores_gemma":[0.0010513765,0.00031383298,0.0000731234,0.00083885324,0.00018692874,0.00093966717,0.0011897539,0.00077552546,1.4126452e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001233654,0.0009506731,0.00006612277,0.0009125979,0.0003297156,0.00004462256,0.0037504921,0.29011127,0.0005175487,0.62963194,0.00007097163,0.07349067],"study_design_scores_gemma":[0.0034139866,0.00027803335,0.000007872094,0.0012185356,0.000055194745,0.0000957825,0.0009358496,0.8281271,0.00009244579,0.16553906,0.000010012061,0.00022616971],"about_ca_topic_score_codex":0.00001073953,"about_ca_topic_score_gemma":7.075488e-8,"teacher_disagreement_score":0.5380158,"about_ca_system_score_codex":0.00017920471,"about_ca_system_score_gemma":0.00055414013,"threshold_uncertainty_score":0.9999314},"labels":[],"label_agreement":null},{"id":"W4409794811","doi":"10.61091/jcmcc127b-520","title":"Research on the Optimization Method of E-commerce Teaching Interaction Strategies Based on Reinforcement Learning Algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Optimization algorithm; Artificial intelligence; Reinforcement; Machine learning; Algorithm; Mathematical optimization; Psychology; Mathematics; Social psychology","score_opus":0.03888483595699131,"score_gpt":0.34681029135813884,"score_spread":0.3079254554011475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794811","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.226113,0.000039091166,0.65500695,0.009897174,0.013065913,0.000941411,4.420642e-7,0.00013388932,0.0948021],"genre_scores_gemma":[0.99482083,0.0000041604712,0.0042587314,0.00019917132,0.000678133,0.000004353839,0.0000026759508,0.000018589157,0.000013354807],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978868,0.0001650996,0.00091409637,0.00016395291,0.0006335142,0.00023654017],"domain_scores_gemma":[0.99544156,0.0022561182,0.0010740161,0.0002445252,0.00097101496,0.0000127541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005711557,0.00019466861,0.0004185298,0.0009740453,0.00078024424,0.00039722538,0.00043154723,0.00014660788,0.000013008489],"category_scores_gemma":[0.0013545468,0.0001466453,0.000109830115,0.00090538186,0.00011788348,0.00038067074,0.00020877276,0.001496237,0.0000020750756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078695775,0.000314378,0.000057099216,0.00013388433,0.00005947919,0.000001698157,0.0001074963,0.07556299,0.00008758381,0.9206833,0.00045730427,0.0024560795],"study_design_scores_gemma":[0.0019910287,0.00044986053,0.000054769178,0.0012330402,0.00008441751,0.0000030403799,0.0074021686,0.682958,0.0004392179,0.30354035,0.001688489,0.00015560655],"about_ca_topic_score_codex":0.00005838712,"about_ca_topic_score_gemma":4.4304628e-7,"teacher_disagreement_score":0.7687078,"about_ca_system_score_codex":0.00008186427,"about_ca_system_score_gemma":0.000091169306,"threshold_uncertainty_score":0.65004885},"labels":[],"label_agreement":null},{"id":"W4409794812","doi":"10.61091/jcmcc127b-519","title":"Research on resource allocation optimization based on multilevel model in green economy driven by data elements","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Resource (disambiguation); Resource allocation; Computer science; Operations research; Environmental economics; Economy; Economics; Engineering","score_opus":0.05188429409585678,"score_gpt":0.3192104045278356,"score_spread":0.26732611043197885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68898284,0.0001352053,0.18465526,0.02812159,0.010696031,0.003039681,0.000029304783,0.00028882985,0.08405123],"genre_scores_gemma":[0.99594814,0.0000034594036,0.002965355,0.00052400125,0.00046761608,0.0000052886844,0.000045434786,0.00002400988,0.000016677415],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979325,0.000051485375,0.0009820419,0.00029216043,0.0004523818,0.00028943812],"domain_scores_gemma":[0.99766046,0.0005304767,0.0007022326,0.00048298627,0.0006041825,0.000019664654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028473323,0.00020108228,0.00040056036,0.0011861273,0.00033951615,0.00027796096,0.0008386408,0.00018888077,0.0000048936254],"category_scores_gemma":[0.00056281185,0.00019764819,0.000044806,0.00090340874,0.00009310218,0.00047543627,0.00043968638,0.0007358927,0.0000035462594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011662931,0.0010666422,0.00069981004,0.00016575986,0.000041464322,0.000003567448,0.000042519816,0.045313124,0.000033581073,0.94450814,0.006429367,0.0015793727],"study_design_scores_gemma":[0.0030981628,0.0000867747,0.00003484035,0.00044076543,0.00002766126,4.1745528e-7,0.00019693476,0.7976376,0.00003105136,0.19665673,0.0016574416,0.00013161972],"about_ca_topic_score_codex":0.000043830285,"about_ca_topic_score_gemma":0.000002299364,"teacher_disagreement_score":0.75232446,"about_ca_system_score_codex":0.0001269403,"about_ca_system_score_gemma":0.000111208035,"threshold_uncertainty_score":0.8059859},"labels":[],"label_agreement":null},{"id":"W4409794813","doi":"10.61091/jcmcc127b-532","title":"Key technology research on ultrasonic ranging of double center hole of air and underwater cast pile based on adaptive filtering algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"State Grid Jiangsu Electric Power; Science and Technology Project of State Grid","keywords":"Ranging; Key (lock); Underwater; Ultrasonic sensor; Pile; Algorithm; Computer science; Acoustics; Center (category theory); Engineering; Telecommunications; Geology; Physics","score_opus":0.019027463417491033,"score_gpt":0.2877863936241148,"score_spread":0.2687589302066238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.817212,0.00031393778,0.17552614,0.00021654062,0.0041757766,0.00057624036,0.000018159091,0.00007120695,0.0018899805],"genre_scores_gemma":[0.9885333,0.000035131587,0.011227076,0.000005297761,0.0001648793,0.000004376783,0.0000010048387,0.00002546475,0.000003428693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984878,0.00003672965,0.0006849877,0.00015696323,0.00036099207,0.00027254375],"domain_scores_gemma":[0.9984516,0.00058451045,0.00026825196,0.00020744358,0.0004211388,0.000067074456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007102437,0.00019107331,0.00054895505,0.00054740265,0.0001541793,0.000030699906,0.00022091434,0.0001363234,0.0000019150589],"category_scores_gemma":[0.000057428497,0.00017370736,0.00007439776,0.00054795854,0.00013543206,0.00007088836,0.000099681376,0.0005490791,4.2143043e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035605967,0.0013433383,0.0001344922,0.0011293092,0.00029284213,0.000018678174,0.00095332833,0.03916469,0.007670826,0.9331534,0.00015288674,0.015630165],"study_design_scores_gemma":[0.014770337,0.0023075088,0.00009868116,0.0040661455,0.00009464611,0.000028691085,0.0016040315,0.4590451,0.11373196,0.402805,0.0009751736,0.00047270927],"about_ca_topic_score_codex":0.0000041888134,"about_ca_topic_score_gemma":1.8443114e-7,"teacher_disagreement_score":0.53034836,"about_ca_system_score_codex":0.00008520858,"about_ca_system_score_gemma":0.00005665431,"threshold_uncertainty_score":0.7083581},"labels":[],"label_agreement":null},{"id":"W4409794824","doi":"10.61091/jcmcc127b-521","title":"Modeling and Visualization of Public Opinion Sentiment Evolution after Sichuan Luding MS6.8 Earthquake Based on LSTM Neural Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Visualization; Artificial neural network; Computer science; Sentiment analysis; Seismology; Artificial intelligence; Geology","score_opus":0.017620879278766505,"score_gpt":0.26647798619038154,"score_spread":0.24885710691161503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794824","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40167424,0.00061036274,0.58856076,0.0003012456,0.00856614,0.00014938522,3.1777506e-7,0.000027225056,0.00011033346],"genre_scores_gemma":[0.99673694,0.000033579116,0.0027851756,0.00006599788,0.00036248952,0.000002148366,7.951038e-7,0.000011358366,0.000001510722],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978634,0.00022348823,0.000922831,0.00025477065,0.00043756084,0.00029796152],"domain_scores_gemma":[0.998068,0.0005121875,0.0005711521,0.00022983043,0.0005184498,0.00010040613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016924448,0.00023699911,0.00057163974,0.00038539516,0.00034257903,0.00020119456,0.00029951448,0.00015399401,9.328949e-7],"category_scores_gemma":[0.0003090243,0.00021722326,0.00012205951,0.000481132,0.000091180445,0.0003100674,0.00028579004,0.00030626435,1.9785588e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010974134,0.00040750607,0.0022333206,0.00019202074,0.00011565476,0.000006693313,0.00060763396,0.027569272,0.000026049616,0.9644993,0.000038895872,0.004193932],"study_design_scores_gemma":[0.0020265866,0.00047582417,0.001094128,0.00041891058,0.00003796045,0.000011396562,0.00010050379,0.87186956,0.000039572373,0.12374965,0.000024390192,0.00015154113],"about_ca_topic_score_codex":0.0000060989005,"about_ca_topic_score_gemma":3.425646e-7,"teacher_disagreement_score":0.84430027,"about_ca_system_score_codex":0.00006032897,"about_ca_system_score_gemma":0.00009371523,"threshold_uncertainty_score":0.8858108},"labels":[],"label_agreement":null},{"id":"W4409794831","doi":"10.61091/jcmcc127b-531","title":"Construction of English Teaching Index Evaluation System Based on Artificial Intelligence and Multimedia Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Multimedia; Computer science; Artificial intelligence; World Wide Web","score_opus":0.0219386935591959,"score_gpt":0.3051365225902492,"score_spread":0.2831978290310533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55496854,0.00024356158,0.41469637,0.0006943029,0.027600188,0.00040153562,0.0000010488093,0.00010269784,0.0012917839],"genre_scores_gemma":[0.9605653,0.0000048699885,0.039041024,0.000012197329,0.00036617857,0.000003020539,4.3089435e-7,0.0000063400084,6.0430574e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980336,0.00017341928,0.0009303117,0.00021993121,0.0004716331,0.00017113228],"domain_scores_gemma":[0.99635094,0.0010994541,0.0009022466,0.0002700709,0.0013204033,0.000056904024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002733908,0.00017215607,0.0004706583,0.00075684383,0.00023674712,0.00009090878,0.00047177402,0.0002617493,0.0000010073472],"category_scores_gemma":[0.0026212276,0.00016301603,0.00006359107,0.00049285154,0.00018629801,0.0001603218,0.00017294694,0.00059549394,2.887426e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032178086,0.00024441822,0.00052532397,0.00013600878,0.000036516092,0.0000014829162,0.0006030632,0.00019223714,0.00008538302,0.9549861,0.000010180492,0.043147106],"study_design_scores_gemma":[0.0007393879,0.00036470042,0.00011846664,0.00057907024,0.0000488823,0.000017704238,0.0012003612,0.3228012,0.0020685554,0.6719023,0.00004713999,0.00011221722],"about_ca_topic_score_codex":0.000003764064,"about_ca_topic_score_gemma":1.7286918e-7,"teacher_disagreement_score":0.40559682,"about_ca_system_score_codex":0.000102422186,"about_ca_system_score_gemma":0.00036138057,"threshold_uncertainty_score":0.66476005},"labels":[],"label_agreement":null},{"id":"W4409794833","doi":"10.61091/jcmcc127b-517","title":"Research on Computational Simulation and Capital Structure Adjustment in Corporate Investment and Financing Decisions under ESG Rating Mechanisms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sustainable Finance and Green Bonds","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Finance; Investment (military); Corporate finance; Capital structure; Investment decisions; Capital investment; Behavioral economics","score_opus":0.05377204337831469,"score_gpt":0.3036075565552252,"score_spread":0.2498355131769105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98148537,0.0010037471,0.013923882,0.00028303132,0.0025543708,0.00031995456,0.0000053536123,0.000008226402,0.00041609452],"genre_scores_gemma":[0.9964118,0.000049840248,0.0032245505,0.000100660756,0.00017741414,0.0000026704029,0.0000021125238,0.000017495153,0.000013469604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979431,0.00007916616,0.0011391727,0.00030931857,0.00021391272,0.00031533936],"domain_scores_gemma":[0.9971226,0.0014438503,0.000879896,0.00014560625,0.00030841594,0.00009962615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019654566,0.000212896,0.000643344,0.0007589101,0.00035129566,0.0002120917,0.00015241635,0.00021466296,0.0000029821804],"category_scores_gemma":[0.0005961848,0.00021775007,0.000053942378,0.00054300413,0.00009517341,0.00020612474,0.00021612144,0.0006994457,7.6765866e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007738505,0.00017009319,0.0008899126,0.00008430352,0.00003678528,0.000015364878,0.0009852548,0.020037929,0.000009752776,0.97694826,0.000031919106,0.0007130311],"study_design_scores_gemma":[0.0031097047,0.0004629636,0.007467231,0.00044999205,0.00001143305,0.000013605613,0.001421126,0.08015975,0.000021585602,0.9066584,0.00005768399,0.00016649562],"about_ca_topic_score_codex":0.000028495884,"about_ca_topic_score_gemma":0.0000027222484,"teacher_disagreement_score":0.070289835,"about_ca_system_score_codex":0.00023196508,"about_ca_system_score_gemma":0.00012850015,"threshold_uncertainty_score":0.887959},"labels":[],"label_agreement":null},{"id":"W4409794953","doi":"10.61091/jcmcc127b-460","title":"Artificial Intelligence-based Financial Big Data Information Security and Local Risk Prevention and Control","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control (management); Big data; Computer science; Risk prevention; Security controls; Business; Finance; Computer security; Artificial intelligence; Risk analysis (engineering); Data mining","score_opus":0.09069703440964802,"score_gpt":0.34080531989619994,"score_spread":0.25010828548655195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32993364,0.00029167495,0.66283005,0.0012509295,0.0051475787,0.0003539695,0.00005186326,0.000029716724,0.00011057233],"genre_scores_gemma":[0.99689436,0.000070173664,0.0026264885,0.000042203388,0.0003531835,0.000002048361,0.000005743582,0.0000050387903,7.373586e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971496,0.00014926052,0.0015627735,0.00026326257,0.00067519123,0.00019990951],"domain_scores_gemma":[0.99553216,0.0018865502,0.0013669374,0.0005283079,0.00058310555,0.000102952254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050685,0.00018738581,0.0005600028,0.00035267478,0.00044463525,0.0006637657,0.0007939875,0.00020984634,0.0000023037342],"category_scores_gemma":[0.0059088077,0.00014991486,0.00006539822,0.000581025,0.00027296122,0.0005430959,0.0006399817,0.00048598912,0.0000016107808],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009651514,0.00018068317,0.00028712576,0.000045207962,0.000026696287,0.0000011566217,0.00017806827,0.000025464311,0.000014136501,0.6680298,0.00040508414,0.33071008],"study_design_scores_gemma":[0.001024816,0.0002758813,0.00031711353,0.000125916,0.00009103867,0.000009821921,0.000752188,0.07784655,0.00020226144,0.91688544,0.0023396371,0.00012936145],"about_ca_topic_score_codex":0.000018675639,"about_ca_topic_score_gemma":0.0000042118663,"teacher_disagreement_score":0.6669607,"about_ca_system_score_codex":0.000034026416,"about_ca_system_score_gemma":0.00024718663,"threshold_uncertainty_score":0.7073822},"labels":[],"label_agreement":null},{"id":"W4409794954","doi":"10.61091/jcmcc127b-422","title":"Design and Implementation of a Secure Storage and Traceability System for Financial Documents Based on Blockchain Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Traceability; Computer science; Business; Computer security; Software engineering","score_opus":0.013470620774576973,"score_gpt":0.3238667361557065,"score_spread":0.31039611538112954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97348994,0.0002666657,0.023248302,0.0003746158,0.001450319,0.0011064082,0.000004208938,0.000017143393,0.000042408537],"genre_scores_gemma":[0.9917946,0.000011906431,0.008028175,0.000016597667,0.00012523978,0.000010053594,0.0000010458555,0.000010042905,0.0000023814744],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984122,0.0000924427,0.0007008029,0.00017172194,0.0004134871,0.00020937824],"domain_scores_gemma":[0.9978839,0.0009827695,0.00045140513,0.00012880286,0.00039616274,0.00015694319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001669219,0.00016374789,0.00066435226,0.00030488483,0.00014228561,0.000034498797,0.000082130755,0.00015160389,0.0000016805491],"category_scores_gemma":[0.0009582541,0.000129959,0.00006895239,0.00022393114,0.00010103011,0.000029618706,0.0000606541,0.00025110316,5.6281248e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005108547,0.0031047028,0.006559411,0.009400697,0.00068298046,0.0001058185,0.0012161578,0.000053702675,0.0020933542,0.938971,0.00040819263,0.03229544],"study_design_scores_gemma":[0.09903541,0.024251984,0.0027226168,0.0068772165,0.001252551,0.00014943874,0.00264201,0.11251564,0.017055146,0.73277116,0.00025509548,0.0004717072],"about_ca_topic_score_codex":0.000005353463,"about_ca_topic_score_gemma":1.9895012e-7,"teacher_disagreement_score":0.20619982,"about_ca_system_score_codex":0.00010688754,"about_ca_system_score_gemma":0.00036628207,"threshold_uncertainty_score":0.5299574},"labels":[],"label_agreement":null},{"id":"W4409794956","doi":"10.61091/jcmcc127b-473","title":"Algorithm for building financial convergence based on mobile internet and accounting information system","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"AI and Big Data Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"The Internet; Convergence (economics); Accounting information system; Computer science; Accounting; Business; Finance; World Wide Web; Economics","score_opus":0.008666623313836603,"score_gpt":0.24848476176773263,"score_spread":0.23981813845389602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045956075,0.000058656646,0.945823,0.000091083086,0.0074412352,0.00042199026,0.000005914644,0.000046915713,0.0001551005],"genre_scores_gemma":[0.8772432,0.000005152852,0.122285195,0.00008285423,0.00035856944,0.000014115786,0.0000020867155,0.000006895895,0.0000018773609],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835384,0.00004058404,0.00085085555,0.00018706395,0.0003417041,0.00022595686],"domain_scores_gemma":[0.9976693,0.0006908309,0.0007834583,0.00023767496,0.00052888057,0.0000898859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013485732,0.00019488503,0.0004256162,0.00027514593,0.00029666186,0.00049724325,0.00059368607,0.0001229428,4.2171618e-7],"category_scores_gemma":[0.0002948351,0.00017656766,0.00008991409,0.00035372443,0.000043375712,0.0005938202,0.00027454397,0.00024285568,7.800562e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002058446,0.00009823972,0.000045876553,0.00029183147,0.0000213022,0.0000014053714,0.00027280045,0.000056224537,0.00004184932,0.95519686,0.0003061857,0.043646865],"study_design_scores_gemma":[0.003017885,0.0005281471,0.00007561358,0.00081420003,0.00004851721,0.000020645517,0.00015081477,0.87085605,0.0009484969,0.12002548,0.0032952544,0.00021891634],"about_ca_topic_score_codex":0.0000047481317,"about_ca_topic_score_gemma":4.9516807e-8,"teacher_disagreement_score":0.8707998,"about_ca_system_score_codex":0.00009461355,"about_ca_system_score_gemma":0.0001991962,"threshold_uncertainty_score":0.72002196},"labels":[],"label_agreement":null},{"id":"W4409794957","doi":"10.61091/jcmcc127b-381","title":"Design and Implementation of Interdisciplinary Knowledge Integration and Teaching Innovation System for Dual Colleges and Universities Based on Artificial Intelligence Algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dual (grammatical number); Computer science; Artificial intelligence; Engineering management; Mathematics education; Engineering; Knowledge management; Psychology","score_opus":0.03425094956536337,"score_gpt":0.35313236031312284,"score_spread":0.31888141074775944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794957","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34436768,0.00008862546,0.65247124,0.00044428755,0.0023122479,0.00023950331,0.0000013324501,0.000015477575,0.000059596463],"genre_scores_gemma":[0.9495505,0.0000061162145,0.05030165,0.000008157148,0.00012246649,0.0000029266805,0.0000011461718,0.000004888193,0.0000021597837],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988415,0.00011836524,0.0006255118,0.00016344943,0.00014194669,0.00010918963],"domain_scores_gemma":[0.99747807,0.0014251303,0.0005413812,0.00009327615,0.0004301905,0.000031930213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017453237,0.00013400002,0.0003151434,0.00048126216,0.0003474975,0.00011616548,0.00015024327,0.000101943326,2.088748e-7],"category_scores_gemma":[0.0001063466,0.0001249745,0.000025907779,0.00022105235,0.00009470578,0.00021220419,0.00020044277,0.00020759096,3.1490277e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065451124,0.00011330926,0.0000277879,0.00023609644,0.000030868177,9.230889e-7,0.0028281976,0.000032884018,0.00038879248,0.96716124,0.000018127139,0.0290963],"study_design_scores_gemma":[0.0011174656,0.0012974921,0.00015157921,0.0006991102,0.00005637063,0.000027587763,0.01412037,0.24249014,0.007234432,0.7326533,0.000015746027,0.00013641303],"about_ca_topic_score_codex":0.000003670106,"about_ca_topic_score_gemma":3.901588e-7,"teacher_disagreement_score":0.6051828,"about_ca_system_score_codex":0.00007424647,"about_ca_system_score_gemma":0.00023794855,"threshold_uncertainty_score":0.5096312},"labels":[],"label_agreement":null},{"id":"W4409794958","doi":"10.61091/jcmcc127b-438","title":"Optimizing Supplier Selection and Resource Allocation Problems in Intelligent Purchasing Systems Based on Decision Tree Algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Purchasing; Computer science; Decision tree; Resource allocation; Operations research; Tree (set theory); Machine learning; Mathematical optimization; Artificial intelligence; Operations management; Engineering; Mathematics","score_opus":0.010221258375565083,"score_gpt":0.23769207681708585,"score_spread":0.22747081844152076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07750128,0.00041686822,0.916198,0.000034282577,0.0049084835,0.0003293182,6.3351956e-7,0.00006331159,0.0005477898],"genre_scores_gemma":[0.9743485,0.000071910115,0.025291648,0.000007162371,0.0002448708,0.0000036097467,0.0000019778072,0.000027655584,0.0000026838943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984317,0.000053694577,0.0008197103,0.00017176477,0.0003045285,0.000218642],"domain_scores_gemma":[0.99868643,0.00067609426,0.00028185695,0.00011704038,0.00016300906,0.00007555664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095728715,0.00022208794,0.00044341086,0.0004584149,0.0001440812,0.00019686006,0.00012764681,0.00015135885,5.5181175e-7],"category_scores_gemma":[0.0002511529,0.00021388552,0.000046778656,0.00030956822,0.000028684315,0.000114733775,0.00004804587,0.00042125784,2.001402e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049991348,0.00012565414,0.000038902584,0.00027917855,0.000023894505,0.0000025855093,0.00036334016,0.93927467,0.00010351279,0.050409753,0.000024135745,0.009304401],"study_design_scores_gemma":[0.0021468971,0.00023929021,0.00003710109,0.0012757907,0.000034342396,0.000011187032,0.00019096749,0.934084,0.00074101146,0.060786244,0.00027548324,0.00017771826],"about_ca_topic_score_codex":0.0000051736265,"about_ca_topic_score_gemma":7.7860193e-7,"teacher_disagreement_score":0.8968472,"about_ca_system_score_codex":0.00021667195,"about_ca_system_score_gemma":0.000039355527,"threshold_uncertainty_score":0.87219983},"labels":[],"label_agreement":null},{"id":"W4409794959","doi":"10.61091/jcmcc127b-483","title":"Research on Grid Wide Area Protection Scheme Based on Data Fusion and Distributed Computing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scheme (mathematics); Computer science; Grid; Distributed computing; Grid computing; Sensor fusion; Fusion; Artificial intelligence; Geography; Mathematics","score_opus":0.05663615668658679,"score_gpt":0.33772485680313075,"score_spread":0.28108870011654397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794959","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16849698,0.000084723484,0.82052964,0.0026342538,0.0065910504,0.0006429534,0.000014993687,0.00007961508,0.0009257653],"genre_scores_gemma":[0.98610806,0.000009165016,0.013196237,0.000099416924,0.00055132684,0.0000032486394,0.0000143819925,0.000015508445,0.00000266725],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99707055,0.0002480344,0.00084618985,0.0004915005,0.0010101515,0.0003335688],"domain_scores_gemma":[0.99460775,0.0029438909,0.00061884767,0.00076342473,0.00089962484,0.00016646925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033767205,0.00025758566,0.00049321627,0.00047435382,0.00082634867,0.00063330017,0.0011557379,0.00012861188,0.0000010461057],"category_scores_gemma":[0.0007291709,0.000234106,0.00007876192,0.0011558203,0.00010438839,0.00026093505,0.0010423487,0.00089322997,0.0000020783446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008086508,0.00073447963,0.0000764556,0.0001187199,0.000043881042,0.000007466863,0.00013499398,0.001727792,0.00017899665,0.9886668,0.0012767965,0.006952786],"study_design_scores_gemma":[0.0017688071,0.00049349,0.00044591315,0.0005946669,0.000015256135,0.000008493592,0.000059172504,0.61791897,0.0001697756,0.37700093,0.0013649602,0.00015960935],"about_ca_topic_score_codex":0.0000100478155,"about_ca_topic_score_gemma":2.469683e-7,"teacher_disagreement_score":0.8176111,"about_ca_system_score_codex":0.0001234524,"about_ca_system_score_gemma":0.00029929323,"threshold_uncertainty_score":0.9546566},"labels":[],"label_agreement":null},{"id":"W4409794961","doi":"10.61091/jcmcc127b-490","title":"Construction of a Soil and Water Loss Probability Model and Landslide Risk Prediction for Hybrid Pumped Storage Engineering Based on an Online Monitoring Database","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science and Technology Project of State Grid","keywords":"Landslide; Database; Online database; Water storage; Environmental science; Computer science; Data mining; Engineering; Geotechnical engineering; Mechanical engineering","score_opus":0.018552331000900077,"score_gpt":0.25107403766917075,"score_spread":0.23252170666827066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9759113,0.000037436937,0.020913668,0.00009803388,0.0027079957,0.00027448565,0.000014524142,0.000014223884,0.000028315306],"genre_scores_gemma":[0.98213303,0.00009778112,0.017350005,0.0000036305723,0.00039485656,0.000002903269,0.0000057063758,0.000009638069,0.0000024203318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986837,0.00007769479,0.0005425362,0.00016516836,0.00035225565,0.00017862607],"domain_scores_gemma":[0.99891746,0.000377976,0.0003286752,0.00010062434,0.00016538607,0.000109863184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017934706,0.00014343245,0.00034925737,0.00013234628,0.000314427,0.000080466976,0.00010167322,0.000077499506,4.5809088e-7],"category_scores_gemma":[0.00029523735,0.000120015706,0.00005068177,0.00006919604,0.000119085766,0.00019452293,0.00006429724,0.000196451,2.3095932e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024743509,0.004118288,0.06382014,0.0039086724,0.0005912989,0.000020040554,0.017781662,0.097427726,0.0059878062,0.7888573,0.00009303726,0.014919728],"study_design_scores_gemma":[0.0064964266,0.000684526,0.0022354128,0.0010626344,0.00021197916,0.000007924694,0.0009253187,0.61094785,0.0024933233,0.37442225,0.0002199086,0.0002924223],"about_ca_topic_score_codex":0.00002228654,"about_ca_topic_score_gemma":0.0000011479077,"teacher_disagreement_score":0.5135201,"about_ca_system_score_codex":0.00008986198,"about_ca_system_score_gemma":0.000100110075,"threshold_uncertainty_score":0.48940983},"labels":[],"label_agreement":null},{"id":"W4409794962","doi":"10.61091/jcmcc127b-415","title":"Research on the safety of oil and gas loading and unloading operations in enterprises based on data mining and correlation analysis algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Correlation; Data mining; Computer science; Fossil fuel; Petroleum engineering; Algorithm; Engineering; Mathematics; Waste management","score_opus":0.02214121327603612,"score_gpt":0.2933135543041285,"score_spread":0.27117234102809235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887681,0.00049987243,0.008221529,0.00021112118,0.0017627793,0.00010163531,0.00000659092,0.000012842565,0.00041552106],"genre_scores_gemma":[0.9975433,0.00033578786,0.001997328,0.0000060990774,0.00010079801,0.000001227495,0.0000022679799,0.000011720488,0.000001471205],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985969,0.000111930734,0.00064081093,0.00017161453,0.00030921004,0.00016955531],"domain_scores_gemma":[0.995317,0.0040973853,0.00011315213,0.00024033502,0.00016671629,0.00006543664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002962264,0.00015056106,0.00044273233,0.00051028084,0.00020081905,0.00014203762,0.00018547161,0.000097398144,9.556575e-7],"category_scores_gemma":[0.0010720616,0.00011868381,0.00003587293,0.0006036454,0.00009308866,0.00008521564,0.00016467023,0.00043045703,4.3975135e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002821635,0.00090773933,0.016514538,0.0021567524,0.0010220218,0.000026330257,0.0048953877,0.46045083,0.0007501929,0.4878299,0.00017811696,0.024986025],"study_design_scores_gemma":[0.0012454378,0.00017848903,0.0014867105,0.0010186322,0.00011935292,0.0000026085675,0.00045899765,0.9856031,0.00013038915,0.009617059,0.00003350694,0.00010570779],"about_ca_topic_score_codex":0.000012143495,"about_ca_topic_score_gemma":0.0000025135794,"teacher_disagreement_score":0.52515227,"about_ca_system_score_codex":0.000056646208,"about_ca_system_score_gemma":0.000039621573,"threshold_uncertainty_score":0.48397854},"labels":[],"label_agreement":null},{"id":"W4409794964","doi":"10.61091/jcmcc127b-431","title":"Construction and analysis of digital intelligent flexible wrist rehabilitation equipment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Engineering Technology and Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Wrist; Physical medicine and rehabilitation; Computer science; Engineering; Medicine; Physical therapy; Surgery","score_opus":0.014662748330489526,"score_gpt":0.27206418920796444,"score_spread":0.2574014408774749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8064949,0.00061177125,0.18722495,0.00004796456,0.0050249198,0.0001015015,0.0000022854135,0.00007814841,0.00041356578],"genre_scores_gemma":[0.96254927,0.00009725012,0.037281703,0.0000014188514,0.000058045283,9.2490177e-7,0.0000010764257,0.000008440234,0.0000018647188],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99886733,0.000027299204,0.00072770345,0.00009262815,0.00015784458,0.00012718565],"domain_scores_gemma":[0.9985627,0.0008271312,0.0002507619,0.000127277,0.00019078578,0.000041346815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079384365,0.00013983673,0.0005850744,0.0005674903,0.000057030113,0.000055964243,0.00012629986,0.00013420056,0.0000011919788],"category_scores_gemma":[0.00067260896,0.00013227921,0.00011104794,0.00056993816,0.00012485568,0.000109277484,0.00008998239,0.0002311814,9.375715e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004230644,0.00012421019,0.0020218466,0.0005324825,0.001158692,0.0000018791038,0.000643089,0.0055720275,0.0011743557,0.9708545,0.00004930514,0.017825259],"study_design_scores_gemma":[0.0016837217,0.000614562,0.0013949508,0.000489451,0.0011162573,0.000021083604,0.001286816,0.05351623,0.008626406,0.930619,0.00036568957,0.0002658496],"about_ca_topic_score_codex":0.000001036686,"about_ca_topic_score_gemma":6.7775275e-8,"teacher_disagreement_score":0.15605438,"about_ca_system_score_codex":0.000053998392,"about_ca_system_score_gemma":0.000023981376,"threshold_uncertainty_score":0.53941894},"labels":[],"label_agreement":null},{"id":"W4409794966","doi":"10.61091/jcmcc127b-441","title":"Research on the Construction and Application of Macroeconomic Forecasting Model Based on Time Series Cluster Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Series (stratigraphy); Cluster (spacecraft); Time series; Computer science; Econometrics; Data mining; Industrial engineering; Machine learning; Economics; Engineering; Geology","score_opus":0.05287863939163315,"score_gpt":0.3536100654717357,"score_spread":0.3007314260801025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8560409,0.000026924039,0.13701062,0.0015066231,0.0012956213,0.00055855664,0.0000064830474,0.0000119319675,0.003542329],"genre_scores_gemma":[0.9962033,0.0000018056265,0.0035707324,0.00003530684,0.0001484249,0.00000742325,6.132883e-7,0.000010166762,0.0000222478],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99659073,0.0005209689,0.001443435,0.00027995024,0.0009698683,0.00019507024],"domain_scores_gemma":[0.9877556,0.009059489,0.0013787275,0.00051841076,0.0012112404,0.00007654498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013193976,0.00016684596,0.0006747626,0.00094657566,0.00052861165,0.0003066352,0.00058914337,0.00011633888,0.0000060799375],"category_scores_gemma":[0.00200518,0.000114362985,0.00017060559,0.0014551631,0.00031013315,0.00013307668,0.00019433997,0.00039571317,0.0000037708965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017710704,0.00013782944,0.0003079639,0.00003545324,0.00011262534,3.3821055e-7,0.00028400525,0.01556985,0.00020704654,0.9807783,0.00018142135,0.0022080874],"study_design_scores_gemma":[0.00058598927,0.00014926778,0.000055574765,0.00008293518,0.00007547349,0.000004305835,0.00044814835,0.4703457,0.00036488933,0.5277726,0.00006144097,0.0000536736],"about_ca_topic_score_codex":0.0000038131477,"about_ca_topic_score_gemma":5.5824717e-7,"teacher_disagreement_score":0.45477587,"about_ca_system_score_codex":0.000084076535,"about_ca_system_score_gemma":0.00014772631,"threshold_uncertainty_score":0.46635872},"labels":[],"label_agreement":null},{"id":"W4409794968","doi":"10.61091/jcmcc127b-463","title":"Research and development of VSC power disturbance generator","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"High-Voltage Power Transmission Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disturbance (geology); Generator (circuit theory); Power (physics); Environmental science; Development (topology); Control theory (sociology); Computer science; Mathematics; Physics; Geology; Control (management); Thermodynamics","score_opus":0.020139439689899064,"score_gpt":0.2809091692440995,"score_spread":0.2607697295542004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9631018,0.0022732608,0.021587336,0.00003266533,0.011289952,0.00024311294,0.0000013589158,0.000040069695,0.0014304451],"genre_scores_gemma":[0.9920492,0.000038310056,0.007607124,0.0000027921112,0.00025747513,0.0000021021865,3.8094723e-7,0.000028145121,0.000014471623],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974968,0.00008008083,0.001291853,0.0001594865,0.00066678633,0.0003050364],"domain_scores_gemma":[0.99810916,0.0005774555,0.00028083692,0.00020066681,0.00066786096,0.00016401574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021534502,0.00022265698,0.00070794864,0.00034643154,0.00021960617,0.0001245019,0.00031092842,0.00015830234,0.000004702815],"category_scores_gemma":[0.00015140972,0.00019697112,0.00006159619,0.0004256593,0.0001095861,0.00011299556,0.00014110717,0.0005153867,0.000001136382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016150076,0.0008953918,0.0010165537,0.0033595636,0.0006768557,0.000040252507,0.01322144,0.00023498495,0.030979827,0.94282305,0.0025418545,0.004048709],"study_design_scores_gemma":[0.03301046,0.0028581861,0.0033489242,0.015164268,0.00031926343,0.00026459733,0.009703743,0.028064681,0.2042197,0.58573467,0.11449987,0.002811647],"about_ca_topic_score_codex":0.0000017048094,"about_ca_topic_score_gemma":1.6402473e-7,"teacher_disagreement_score":0.35708842,"about_ca_system_score_codex":0.000092137714,"about_ca_system_score_gemma":0.00019017678,"threshold_uncertainty_score":0.80322486},"labels":[],"label_agreement":null},{"id":"W4409794971","doi":"10.61091/jcmcc127b-470","title":"Exploring visual design for image-enhanced communication in digital technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Visual communication; Computer science; Image (mathematics); Human–computer interaction; Computer vision; Computer graphics (images); Multimedia; Artificial intelligence","score_opus":0.038895968930230576,"score_gpt":0.3035395454697613,"score_spread":0.26464357653953074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794971","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43558466,0.0001588013,0.5574748,0.00034372555,0.005548618,0.00035509784,4.6065884e-7,0.00005665704,0.0004772043],"genre_scores_gemma":[0.94201744,0.00004586451,0.057744555,0.000012586151,0.00014414407,0.000015961718,5.5467376e-7,0.000013891731,0.0000050309336],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99809283,0.000043578333,0.0010043161,0.00022497628,0.00030815252,0.00032616622],"domain_scores_gemma":[0.99722844,0.0012501556,0.000554312,0.00029215572,0.00058446545,0.00009045289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001171998,0.00021954112,0.00059223006,0.00048326867,0.00017682352,0.0005894184,0.00092098466,0.000111351896,2.8477612e-7],"category_scores_gemma":[0.0008474555,0.00020830052,0.00011155919,0.0008503861,0.00008878266,0.0014770948,0.00049812574,0.00034009552,0.0000013007603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006282412,0.0005747076,0.000036042213,0.00014064433,0.000049771494,0.000008136384,0.0006757003,0.000027275142,0.0008267324,0.9740636,0.000043607408,0.023490986],"study_design_scores_gemma":[0.003874366,0.000820679,0.000034726985,0.0010051257,0.000020872534,0.000019756844,0.0004779696,0.025071213,0.008468351,0.959783,0.00019787354,0.00022601949],"about_ca_topic_score_codex":9.842522e-7,"about_ca_topic_score_gemma":6.992421e-8,"teacher_disagreement_score":0.5064328,"about_ca_system_score_codex":0.000094022085,"about_ca_system_score_gemma":0.0001749698,"threshold_uncertainty_score":0.8494249},"labels":[],"label_agreement":null},{"id":"W4409794972","doi":"10.61091/jcmcc127b-468","title":"Design of Financial Indicator Analysis System Based on Fuzzy Recognition Algorithm and Big Data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Fuzzy logic; Artificial intelligence; Data mining; Finance; Pattern recognition (psychology); Algorithm; Business","score_opus":0.09993281072356307,"score_gpt":0.3316578960320965,"score_spread":0.23172508530853342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794972","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24187675,0.00034578453,0.7390599,0.00028539906,0.017415894,0.00043691907,0.00014560393,0.000034890138,0.0003988463],"genre_scores_gemma":[0.98534095,0.000029582994,0.0139102265,0.000052786792,0.0006411646,7.4175733e-7,0.000012651724,0.000009722345,0.0000021541866],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960379,0.00031802343,0.0016738161,0.00035288592,0.0013811581,0.00023624183],"domain_scores_gemma":[0.99352926,0.0029405423,0.0018414481,0.0006114621,0.00092978275,0.0001475062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008387379,0.00024248938,0.0011710279,0.0008259098,0.0003194896,0.00040929377,0.0009168214,0.00021375762,0.00000324123],"category_scores_gemma":[0.0027606664,0.00017835853,0.0001899614,0.0016466518,0.0001306157,0.00026351176,0.00037940458,0.00033054256,9.516244e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016761468,0.0046590627,0.0035035764,0.0013466869,0.0021604502,0.00010412796,0.0024670265,0.0013641713,0.00043443497,0.31368056,0.009560203,0.65904355],"study_design_scores_gemma":[0.010495319,0.0017371725,0.0044736234,0.001521572,0.0017266739,0.000029044013,0.0015901946,0.5785984,0.0006451132,0.3977529,0.00078325893,0.00064673583],"about_ca_topic_score_codex":0.000012813607,"about_ca_topic_score_gemma":1.5764951e-7,"teacher_disagreement_score":0.74346423,"about_ca_system_score_codex":0.000053895965,"about_ca_system_score_gemma":0.00042508368,"threshold_uncertainty_score":0.72732496},"labels":[],"label_agreement":null},{"id":"W4409794974","doi":"10.61091/jcmcc127b-501","title":"Quantitative analysis of the impact of urban sprawl on land resources: algorithm-based spatio-temporal modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Chongqing Municipal Education Commission","keywords":"Urban sprawl; Computer science; Land use; Algorithm; Geography; Civil engineering; Engineering","score_opus":0.013229628511671485,"score_gpt":0.26485602098311484,"score_spread":0.25162639247144336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946857,0.00006757098,0.0030354895,0.00003226465,0.0014936925,0.00015753556,0.00000855662,0.0000059753584,0.0005132232],"genre_scores_gemma":[0.99864966,0.000004379371,0.0012349642,0.000008626115,0.00008877947,6.298515e-7,0.0000016724539,0.000009854748,0.0000014480868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979314,0.00015051497,0.001019195,0.00015557851,0.0005616811,0.00018162795],"domain_scores_gemma":[0.99769217,0.0005350364,0.0012840732,0.00025988856,0.0001577297,0.00007111185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011990783,0.00019456173,0.00083811535,0.000232034,0.00016309152,0.000055420227,0.00042993325,0.00010003612,0.000021174272],"category_scores_gemma":[0.0001483503,0.000119963166,0.0004513248,0.0010173208,0.00004877132,0.000098193676,0.00016975618,0.00021689721,5.82848e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010097361,0.002617044,0.3097525,0.0005355471,0.0036393057,0.000011435155,0.0050366456,0.6229266,0.0003494687,0.05302087,0.000255267,0.00084559515],"study_design_scores_gemma":[0.002024853,0.00076869474,0.003659796,0.0005066437,0.00062828907,0.0000013906871,0.00020585711,0.95362705,0.0002790211,0.038142864,0.000017836797,0.0001376916],"about_ca_topic_score_codex":0.00055627734,"about_ca_topic_score_gemma":0.000018711624,"teacher_disagreement_score":0.33070046,"about_ca_system_score_codex":0.000109310386,"about_ca_system_score_gemma":0.00007206343,"threshold_uncertainty_score":0.48919562},"labels":[],"label_agreement":null},{"id":"W4409794980","doi":"10.61091/jcmcc127b-484","title":"Design of low-latency communication network for power system automation based on 5G technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automation; Latency (audio); Computer science; Low latency (capital markets); Telecommunications; Embedded system; Computer network; Engineering","score_opus":0.008405342134987196,"score_gpt":0.22484867970638842,"score_spread":0.21644333757140122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794980","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15712623,0.0019127167,0.81596196,0.00017734771,0.021386629,0.0012363076,0.0000042375987,0.0005568018,0.0016377516],"genre_scores_gemma":[0.9795901,0.000019504676,0.02023788,0.0000038455323,0.00011231404,0.00000964081,8.8347474e-7,0.000024455438,0.0000013661196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982823,0.00006066303,0.0010766756,0.00011018057,0.00024136397,0.00022877808],"domain_scores_gemma":[0.99767894,0.0008342555,0.0006659334,0.0003433675,0.00044093904,0.00003658308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00134406,0.00020932821,0.0006824361,0.0004067229,0.00015692925,0.000060613005,0.0004194641,0.00028605704,5.982861e-7],"category_scores_gemma":[0.00027473844,0.00019123693,0.00010638592,0.0004911781,0.000059923615,0.000080323545,0.0000573829,0.0002975081,3.8669768e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006483457,0.0001534992,0.000051135918,0.0010701881,0.00012171884,0.0000018860438,0.00012322674,0.028479217,0.00060700026,0.9680474,0.00053443003,0.0007454687],"study_design_scores_gemma":[0.003667351,0.00078671344,0.000035972575,0.004194276,0.00009089545,0.000011713681,0.00035621572,0.6006622,0.004469707,0.38528532,0.00020555909,0.00023408113],"about_ca_topic_score_codex":0.0000010591384,"about_ca_topic_score_gemma":5.204094e-8,"teacher_disagreement_score":0.82246387,"about_ca_system_score_codex":0.00012979546,"about_ca_system_score_gemma":0.00007733648,"threshold_uncertainty_score":0.7798416},"labels":[],"label_agreement":null},{"id":"W4409794982","doi":"10.61091/jcmcc127b-397","title":"Research on Improving the Energy Efficiency of Plasma-Catalyzed Ammonia Synthesis Based on XGBoost and Bayesian Optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Ammonia production; Ammonia; Bayesian probability; Catalysis; Bayesian optimization; Plasma; Computer science; Chemistry; Environmental science; Process engineering; Biochemical engineering; Artificial intelligence; Physics; Engineering; Biochemistry","score_opus":0.01253630920801636,"score_gpt":0.25531800992339354,"score_spread":0.2427817007153772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92004347,0.00027389612,0.07289436,0.00044505752,0.0046651554,0.00031577857,0.0000035438754,0.0000390379,0.0013196798],"genre_scores_gemma":[0.99720633,0.000021893933,0.002356213,0.000009655603,0.00036588666,0.000004825899,5.8235526e-7,0.00002803112,0.000006599439],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99767005,0.00020453248,0.0008799696,0.00022903908,0.00072187,0.00029456321],"domain_scores_gemma":[0.9947298,0.0038469068,0.00059599726,0.00028178297,0.0004446207,0.000100893194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022922219,0.00023472052,0.000572325,0.0004206327,0.0003884804,0.00012298972,0.00032126438,0.00017640495,0.000004362461],"category_scores_gemma":[0.0014593537,0.00017337124,0.0001350359,0.0005336517,0.0001577351,0.000075576834,0.0001298248,0.000512762,3.1040912e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007296626,0.00115289,0.000035093974,0.0005002916,0.00017854317,0.00000825386,0.00034994102,0.035880905,0.019168533,0.9320319,0.000088388806,0.009875584],"study_design_scores_gemma":[0.0019981978,0.00043949537,0.000017286377,0.0011144436,0.00012470638,0.000010711887,0.00043296814,0.82774436,0.1516369,0.016230108,0.000056634417,0.00019416604],"about_ca_topic_score_codex":0.000026639436,"about_ca_topic_score_gemma":2.408881e-7,"teacher_disagreement_score":0.9158018,"about_ca_system_score_codex":0.000114883806,"about_ca_system_score_gemma":0.00013690704,"threshold_uncertainty_score":0.70698744},"labels":[],"label_agreement":null},{"id":"W4409794986","doi":"10.61091/jcmcc127b-375","title":"A study on the integrated application of computational methods in low-voltage distributed photovoltaic user regulation and station side-end autonomy strategies","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Autonomy; Photovoltaic system; Computer science; Voltage; Distributed computing; Electrical engineering; Engineering; Political science","score_opus":0.01233741528083938,"score_gpt":0.2825777764999458,"score_spread":0.27024036121910644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7469928,0.00008512972,0.2509672,0.000024890307,0.0013167134,0.00043761675,0.000004687833,0.000041317722,0.0001296277],"genre_scores_gemma":[0.9965622,0.000004519584,0.003357266,0.0000025371435,0.000045949706,0.000009406448,0.000004468938,0.000012779452,9.08751e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984157,0.00011975156,0.00095538475,0.00012658954,0.00024776673,0.0001347967],"domain_scores_gemma":[0.99799997,0.0010782859,0.00047368128,0.00015355994,0.000265982,0.000028505432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014491554,0.00018415763,0.00047789456,0.0002771612,0.00009383274,0.00012835603,0.00017792596,0.000108541186,7.5164337e-7],"category_scores_gemma":[0.00023291416,0.00014169242,0.00004776963,0.00049332116,0.000069154135,0.00014918213,0.000066090215,0.00033721988,1.3110855e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006347209,0.00054018147,0.0013204085,0.00035282155,0.00020151079,0.000004073199,0.0024421543,0.016806962,0.0065485802,0.96754324,0.0000481792,0.0041284156],"study_design_scores_gemma":[0.003097666,0.00043934997,0.015354896,0.00067013135,0.00006833422,0.0000080198915,0.0069467416,0.23751603,0.0030613202,0.73249495,0.00013171729,0.00021081035],"about_ca_topic_score_codex":0.00003125158,"about_ca_topic_score_gemma":0.0000031224977,"teacher_disagreement_score":0.24956934,"about_ca_system_score_codex":0.00012095019,"about_ca_system_score_gemma":0.000094320414,"threshold_uncertainty_score":0.5778049},"labels":[],"label_agreement":null},{"id":"W4409794987","doi":"10.61091/jcmcc127b-383","title":"Research on Landscape Design Optimization and Spatial Layout Planning Method Based on AI Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm","score_opus":0.046315204972913256,"score_gpt":0.36261763592360957,"score_spread":0.3163024309506963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409794987","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014440085,0.000146855,0.96907556,0.0019152166,0.007900356,0.00050090527,9.040136e-7,0.00003074691,0.0059893634],"genre_scores_gemma":[0.90836,0.00007130368,0.090155974,0.00016709723,0.0011732458,0.00000425847,0.000001568939,0.000022073018,0.00004450348],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99713516,0.0006724201,0.0005460775,0.00021215082,0.0011121053,0.00032210912],"domain_scores_gemma":[0.99646,0.0026484965,0.00032001056,0.00011711663,0.00030030083,0.00015404937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064716423,0.00017835622,0.00041136544,0.0004301934,0.0008710315,0.00030574953,0.0002469061,0.00017899727,0.000010153756],"category_scores_gemma":[0.0005084205,0.00015786476,0.00006605216,0.00037985577,0.00013005218,0.000105690335,0.00009661067,0.00055285176,0.000001176284],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045164482,0.0008528984,0.0004887785,0.00010049672,0.00012547823,0.000041544376,0.0044089328,0.12743247,0.000015353367,0.8454951,0.002801126,0.017786171],"study_design_scores_gemma":[0.004158594,0.0010598489,0.00024786298,0.0009776705,0.00005460837,0.0000039419874,0.0019056192,0.6885103,0.00012101323,0.30021033,0.0024790328,0.00027115847],"about_ca_topic_score_codex":0.000033462216,"about_ca_topic_score_gemma":3.14928e-7,"teacher_disagreement_score":0.8939199,"about_ca_system_score_codex":0.00014932436,"about_ca_system_score_gemma":0.0003118229,"threshold_uncertainty_score":0.6699358},"labels":[],"label_agreement":null},{"id":"W4409795000","doi":"10.61091/jcmcc127b-379","title":"Research on Decentralized Energy Trading Mechanism and Carbon Footprint Traceability Based on Heterogeneous Blockchain and Federated Reinforcement Learning for Interactive Energy Markets","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Traceability; Carbon footprint; Reinforcement learning; Mechanism (biology); Energy (signal processing); Footprint; Computer science; Business; Computer security; Artificial intelligence; Geology; Greenhouse gas","score_opus":0.016181763063716853,"score_gpt":0.2862493212279451,"score_spread":0.2700675581642282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74900115,0.00023834636,0.24655901,0.0008461883,0.0024118342,0.0004761087,5.643724e-7,0.000095006566,0.00037180915],"genre_scores_gemma":[0.99661154,0.0000505994,0.0031455802,0.000047068865,0.000100750345,0.000023007946,5.709522e-7,0.000016275932,0.00000459799],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99753785,0.00036077722,0.0007978057,0.00044105688,0.00046296933,0.00039956643],"domain_scores_gemma":[0.9958855,0.0026420637,0.0005080594,0.00028429372,0.00052596675,0.0001541317],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002819317,0.00027803486,0.00060698664,0.0004997079,0.00069617055,0.00032068935,0.00041113573,0.0002445407,5.3931615e-7],"category_scores_gemma":[0.0004567757,0.00025827505,0.00009792343,0.0004139632,0.00011430774,0.000035476918,0.0003004019,0.0006437933,2.2801371e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000333242,0.0004182914,0.000012664293,0.00008935254,0.000086216816,0.000007783122,0.0003172695,0.000608517,0.00034334892,0.9865629,0.000008477024,0.0112119485],"study_design_scores_gemma":[0.002433802,0.0010262615,0.000008829397,0.00022414596,0.00001893288,0.00001388669,0.00010817759,0.54166347,0.006769769,0.44745117,0.00015408456,0.00012743486],"about_ca_topic_score_codex":0.000025734247,"about_ca_topic_score_gemma":0.0000015505358,"teacher_disagreement_score":0.54105496,"about_ca_system_score_codex":0.00018244183,"about_ca_system_score_gemma":0.00013624356,"threshold_uncertainty_score":0.99998695},"labels":[],"label_agreement":null},{"id":"W4409795001","doi":"10.61091/jcmcc127b-403","title":"Research on Enhancing the Efficiency of Creativity and Process Integration in Customized Garment Design through Meta-Learning Empowered by Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Creativity; Process (computing); Computer science; Psychology; Engineering; Artificial intelligence; Knowledge management; Human–computer interaction; Social psychology","score_opus":0.06988491274991505,"score_gpt":0.3758929534307806,"score_spread":0.30600804068086557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6306886,0.0010043414,0.3604806,0.0003039122,0.004741579,0.0006712933,7.145966e-7,0.000030128143,0.0020787956],"genre_scores_gemma":[0.99833685,0.00011037541,0.0014119016,0.000008093224,0.000106314656,0.0000073955375,3.362793e-7,0.000013748402,0.0000050030603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99755543,0.00061184075,0.0009779601,0.00014283376,0.00049718365,0.00021472367],"domain_scores_gemma":[0.9940505,0.004955255,0.00039928764,0.00012623718,0.00042124095,0.000047482525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006822493,0.00017704767,0.00056155503,0.0002341999,0.00021404731,0.00016180256,0.00022906085,0.00010044806,0.000006241483],"category_scores_gemma":[0.0017454845,0.00012907413,0.000069375885,0.0006651712,0.000096036514,0.00018123272,0.000051066567,0.0008763593,5.223289e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008595002,0.0017449517,0.000023089806,0.0006972337,0.00055607944,0.0000060446237,0.02499282,0.012159964,0.011905885,0.9329741,0.0003088358,0.013771504],"study_design_scores_gemma":[0.0017182704,0.0009197381,0.000013599791,0.00094084576,0.0003145467,0.000011692176,0.013486188,0.084590405,0.16960068,0.7279561,0.00018166925,0.00026625357],"about_ca_topic_score_codex":0.000010934015,"about_ca_topic_score_gemma":5.726408e-7,"teacher_disagreement_score":0.3676482,"about_ca_system_score_codex":0.000093121984,"about_ca_system_score_gemma":0.00013022423,"threshold_uncertainty_score":0.52634907},"labels":[],"label_agreement":null},{"id":"W4409795002","doi":"10.61091/jcmcc127b-451","title":"Design of Cloud Collective Financial Robot Based on Artificial Intelligence Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Robot; Artificial intelligence; Business; Operating system","score_opus":0.021425525005825275,"score_gpt":0.24785383518700094,"score_spread":0.22642831018117565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795002","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2414039,0.00017312595,0.7216797,0.00081799837,0.028902914,0.00094630924,0.0000023858051,0.0001204384,0.0059532477],"genre_scores_gemma":[0.99299926,0.0000036053864,0.005807025,0.000099686455,0.0010472494,0.0000039783836,6.700978e-7,0.000028319204,0.000010226663],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974289,0.000032705288,0.0013760596,0.00027515602,0.00052919367,0.00035801216],"domain_scores_gemma":[0.9962401,0.0007753638,0.0016660985,0.00024443684,0.0010489038,0.000025133997],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001496391,0.0003323882,0.0008912421,0.0011506607,0.00029036985,0.00028033825,0.00058701914,0.0002616115,0.000006700568],"category_scores_gemma":[0.0028398223,0.00031818252,0.00016713481,0.0018812935,0.00021416524,0.00031989842,0.00028477082,0.0005647366,0.0000051298657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046689733,0.00080458855,0.00015690748,0.00030987887,0.00004394724,0.000018101278,0.0000590565,0.0022704252,0.000586228,0.9907331,0.00038470485,0.00416619],"study_design_scores_gemma":[0.0011554548,0.000493399,0.000052863208,0.0010897703,0.000089361325,0.000005435696,0.00012473814,0.07585698,0.004506592,0.9160533,0.00031205386,0.00026005253],"about_ca_topic_score_codex":0.000007614167,"about_ca_topic_score_gemma":3.7386562e-7,"teacher_disagreement_score":0.7515953,"about_ca_system_score_codex":0.00014911011,"about_ca_system_score_gemma":0.00038968588,"threshold_uncertainty_score":0.99992704},"labels":[],"label_agreement":null},{"id":"W4409795003","doi":"10.61091/jcmcc127b-385","title":"Analyzing the Effects of Metacognitive Regulation Enhances Students’ Authentic Writing Learning Performance in a Web-based Constructivist Learning Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metacognition; Constructivist teaching methods; Authentic learning; Psychology; Mathematics education; Computer science; Teaching method; Cognition","score_opus":0.010159462808206291,"score_gpt":0.30854299496263343,"score_spread":0.29838353215442714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683267,0.0004241287,0.02593162,0.000031790256,0.0042328006,0.00026748952,1.4839488e-7,0.00002050782,0.0007648159],"genre_scores_gemma":[0.9975789,0.000017351156,0.0021062926,0.0000068053287,0.00023520997,0.000005309299,8.093029e-7,0.000020925612,0.000028390623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959905,0.0017874831,0.0012205173,0.00022710307,0.0004744024,0.00029997143],"domain_scores_gemma":[0.9931813,0.00466024,0.001706634,0.00014969101,0.00026041764,0.000041726275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007414199,0.0002476928,0.00074625586,0.0004487421,0.0004459874,0.000115352064,0.00032484363,0.00012806497,0.000010702822],"category_scores_gemma":[0.0017499042,0.00020092956,0.0001289467,0.0005081257,0.00020648201,0.00010153357,0.00013855359,0.0014124828,0.0000010292833],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092315656,0.0024566643,0.4301742,0.0024615799,0.0015650041,0.00004492553,0.035859477,0.0041406523,0.017734513,0.42961445,0.000017581293,0.075007774],"study_design_scores_gemma":[0.07380562,0.011508,0.48607025,0.026378592,0.002550516,0.00014586249,0.03721287,0.12082072,0.03130489,0.20603324,0.0015938424,0.0025756038],"about_ca_topic_score_codex":0.000007125895,"about_ca_topic_score_gemma":1.03163686e-7,"teacher_disagreement_score":0.22358122,"about_ca_system_score_codex":0.00010459353,"about_ca_system_score_gemma":0.00010175406,"threshold_uncertainty_score":0.819367},"labels":[],"label_agreement":null},{"id":"W4409795004","doi":"10.61091/jcmcc127b-418","title":"Machine Learning Based Return Prediction for Digital Financial Portfolios","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Longdong University; Gansu Education Department","keywords":"Computer science; Artificial intelligence; Machine learning; Finance; Business","score_opus":0.03568511344488406,"score_gpt":0.3337681484424282,"score_spread":0.2980830349975441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795004","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36314347,0.00046935026,0.57924527,0.00048052645,0.050512023,0.000905785,0.00002887695,0.00010532206,0.0051093902],"genre_scores_gemma":[0.9829305,0.000004895503,0.015544604,0.000040181985,0.0013434067,0.000004064884,0.0000030959422,0.000028159133,0.000101117825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953303,0.00028496922,0.0022609977,0.00037010593,0.0013703998,0.00038326785],"domain_scores_gemma":[0.9865085,0.009178883,0.0020317796,0.0003246698,0.0017753404,0.00018084096],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010873536,0.00031233998,0.0010159396,0.00069920084,0.0005534896,0.000842985,0.0007435577,0.00023883277,0.0000108899085],"category_scores_gemma":[0.046568893,0.00025496515,0.00040732892,0.0009686728,0.000105653504,0.00036679703,0.00026976853,0.0006679841,0.0000010909247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018493043,0.0012885286,0.016288176,0.0004049362,0.0002446575,0.000035730885,0.00097335235,0.0011577868,0.00042732782,0.8470489,0.0059631676,0.12431816],"study_design_scores_gemma":[0.0050352253,0.0009298592,0.0004958533,0.00037886575,0.00009671963,0.00003643995,0.0001351407,0.14990194,0.00030431824,0.83143055,0.011044834,0.00021021558],"about_ca_topic_score_codex":0.0000022905765,"about_ca_topic_score_gemma":1.6788478e-7,"teacher_disagreement_score":0.619787,"about_ca_system_score_codex":0.00011258738,"about_ca_system_score_gemma":0.00047085213,"threshold_uncertainty_score":0.9999903},"labels":[],"label_agreement":null},{"id":"W4409795006","doi":"10.61091/jcmcc127b-494","title":"Deep Learning-based Hotel Customer Behavior Prediction Model Construction and Management Strategy Optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Deep learning; Artificial intelligence; Business","score_opus":0.011272893770465434,"score_gpt":0.23816442014089811,"score_spread":0.2268915263704327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5470731,0.00018091542,0.43510306,0.00061940635,0.008780256,0.000757667,0.0000012825558,0.00022035417,0.0072639333],"genre_scores_gemma":[0.98843193,0.00004309178,0.010955153,0.000083870946,0.00044054084,0.000007435003,0.000007045201,0.00002053324,0.0000103757475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854165,0.000017537794,0.0007634259,0.0001851004,0.0002922858,0.00019998741],"domain_scores_gemma":[0.99840045,0.00008663858,0.0007893358,0.0001344341,0.0005690267,0.00002008556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006488185,0.00021064174,0.00037318643,0.00067432737,0.00043575827,0.0003288663,0.00017770463,0.00018725338,0.0000057327975],"category_scores_gemma":[0.00011392222,0.00020800874,0.000070492046,0.00061930006,0.00014953458,0.00046436334,0.00015589231,0.00043093867,0.0000013069531],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045449302,0.00032927227,0.002577703,0.00032949162,0.000083775536,0.000006705762,0.00003193387,0.04338123,0.00004816928,0.9475289,0.0001304412,0.0055069365],"study_design_scores_gemma":[0.0038874934,0.00009547861,0.000504145,0.00030510745,0.0004601429,0.000015068694,0.00056435604,0.78761685,0.000046647983,0.20583989,0.00044724133,0.00021758956],"about_ca_topic_score_codex":0.000008455081,"about_ca_topic_score_gemma":5.392961e-7,"teacher_disagreement_score":0.74423563,"about_ca_system_score_codex":0.000051471696,"about_ca_system_score_gemma":0.000038538506,"threshold_uncertainty_score":0.848235},"labels":[],"label_agreement":null},{"id":"W4409795007","doi":"10.61091/jcmcc127b-479","title":"Machine Learning-Based State Monitoring and Regulation Characterization of Distribution Grid with High Percentage Distributed Resource Access","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grid; Resource (disambiguation); Computer science; State (computer science); Resource distribution; Distribution (mathematics); Distributed computing; Characterization (materials science); Resource allocation; Computer network; Mathematics; Materials science; Nanotechnology","score_opus":0.006086365097127786,"score_gpt":0.21806870762330796,"score_spread":0.21198234252618017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94847167,0.00013762151,0.040468555,0.00003820318,0.010574307,0.0001965362,0.000030001098,0.00005205276,0.00003104545],"genre_scores_gemma":[0.99886775,0.000038238446,0.00013403426,0.0000014917429,0.00086646207,0.0000014629582,0.000065061795,0.000022331624,0.0000031473808],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985315,0.00008091784,0.00075360294,0.00012318764,0.0003317394,0.00017900445],"domain_scores_gemma":[0.9987383,0.00023797079,0.0005507962,0.000121629164,0.00027008698,0.00008121806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005969604,0.00020911987,0.0005186117,0.00014098626,0.00015534362,0.00017529083,0.00015852641,0.00009339675,0.0000012461776],"category_scores_gemma":[0.000078567304,0.00018421197,0.00005231393,0.0003025465,0.00004707475,0.00020571338,0.00006652182,0.00030857674,9.612983e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004804439,0.003400753,0.30975428,0.021508912,0.0032550942,0.00013304538,0.0076160617,0.18238175,0.12457012,0.3307584,0.0019319021,0.009885255],"study_design_scores_gemma":[0.038501903,0.0038598194,0.16978003,0.014281416,0.0011705991,0.00016204534,0.0007407196,0.5786107,0.13562152,0.031817067,0.02307427,0.0023798544],"about_ca_topic_score_codex":0.0000106323405,"about_ca_topic_score_gemma":1.9147892e-7,"teacher_disagreement_score":0.396229,"about_ca_system_score_codex":0.00008021879,"about_ca_system_score_gemma":0.000046654874,"threshold_uncertainty_score":0.7511946},"labels":[],"label_agreement":null},{"id":"W4409795008","doi":"10.61091/jcmcc127b-449","title":"The application of computer multimedia technology in film and television post-production","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multimedia; Production (economics); Computer science","score_opus":0.010459401274068187,"score_gpt":0.3143721676283498,"score_spread":0.3039127663542816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978714,0.0004132087,0.0066762543,0.0042845868,0.008850402,0.000496106,5.8843665e-7,0.00002733515,0.0005375537],"genre_scores_gemma":[0.9903035,0.00010239801,0.0089703,0.000014289387,0.000592065,0.0000034899526,4.2720643e-7,0.000006603461,0.0000069023304],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984863,0.00013194271,0.0007515161,0.00013044952,0.0003361588,0.0001636445],"domain_scores_gemma":[0.99694365,0.0009720943,0.0007248926,0.00013127539,0.0011942567,0.000033839875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029111938,0.00010726738,0.00031917522,0.00035334958,0.00038611595,0.000068945854,0.00027275336,0.000143175,6.0505226e-7],"category_scores_gemma":[0.0017246326,0.000086552915,0.000038797058,0.00077252614,0.00036796607,0.00012149713,0.0001296667,0.00031612726,1.864553e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030551124,0.00017448115,0.0012904746,0.000048322694,0.000019381085,4.6807915e-7,0.0020604571,0.0000037592727,0.00079059775,0.9699805,0.0001400801,0.025460932],"study_design_scores_gemma":[0.0008229035,0.00020219793,0.0016611769,0.00033512816,0.000019196781,0.000005165432,0.0026465477,0.0019648697,0.0015987795,0.9880726,0.0025707865,0.00010069889],"about_ca_topic_score_codex":0.000057262565,"about_ca_topic_score_gemma":0.0000056950234,"teacher_disagreement_score":0.025360234,"about_ca_system_score_codex":0.00010743423,"about_ca_system_score_gemma":0.0002548297,"threshold_uncertainty_score":0.35295254},"labels":[],"label_agreement":null},{"id":"W4409795009","doi":"10.61091/jcmcc127b-474","title":"Optimization research on smoke prevention and exhaust system for air-bearing membrane structure buildings","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Education, Safety, and Science Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Smoke; Bearing (navigation); Environmental science; Waste management; Engineering; Computer science; Artificial intelligence","score_opus":0.04881070299724078,"score_gpt":0.3835997726316677,"score_spread":0.33478906963442695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95974773,0.00037472634,0.010520434,0.0015162673,0.023005188,0.00086356094,0.0000024024753,0.000042419135,0.0039272737],"genre_scores_gemma":[0.9936102,0.0001308384,0.0047271433,0.000011539404,0.0014613863,0.000003881808,7.050304e-7,0.000011351782,0.00004293178],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99779534,0.0002523126,0.00066216354,0.00022005226,0.00073784235,0.0003322748],"domain_scores_gemma":[0.9964879,0.001550108,0.0004859525,0.00012353821,0.0012339083,0.000118562086],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005868632,0.00015081603,0.0004269111,0.0003399202,0.0019303694,0.000308745,0.00029264615,0.00015216856,0.0000022771742],"category_scores_gemma":[0.0015112312,0.00013607027,0.00008212793,0.0005758819,0.00025607503,0.00022967406,0.0001151965,0.0003335713,1.07344526e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060810627,0.0001313884,0.0002378272,0.00034161867,0.000050677416,7.168567e-7,0.00635278,0.0005320101,0.0000959968,0.99101436,0.00017317079,0.0010086546],"study_design_scores_gemma":[0.0048057875,0.0010547987,0.00042203706,0.0026685437,0.00017741998,0.000010956526,0.059029173,0.006845014,0.0011266096,0.92103016,0.0024465537,0.00038296188],"about_ca_topic_score_codex":0.00005988204,"about_ca_topic_score_gemma":0.000005169957,"teacher_disagreement_score":0.069984205,"about_ca_system_score_codex":0.00022472997,"about_ca_system_score_gemma":0.0003605323,"threshold_uncertainty_score":0.99936897},"labels":[],"label_agreement":null},{"id":"W4409795010","doi":"10.61091/jcmcc127b-442","title":"A short-term load forecasting method for distribution networks based on multivariate information and exploratory factor analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Term (time); Computer science; Exploratory factor analysis; Factor (programming language); Multivariate analysis; Exploratory analysis; Econometrics; Data mining; Statistics; Machine learning; Mathematics; Data science","score_opus":0.031859163140788384,"score_gpt":0.3241742743764101,"score_spread":0.2923151112356217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795010","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15524611,0.000020263627,0.8410875,0.000071576775,0.002981925,0.00036320987,0.000006867001,0.00001838692,0.00020416446],"genre_scores_gemma":[0.91299987,0.0000047125195,0.08673253,0.000056634668,0.00017910509,0.000007658454,0.000007504782,0.000010045224,0.0000019370866],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976743,0.00025524397,0.0010512861,0.0001971724,0.0005734016,0.00024861164],"domain_scores_gemma":[0.996229,0.0023837194,0.0007976261,0.00019253025,0.0002784443,0.00011867353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004210634,0.00023252457,0.0005900765,0.00017222612,0.0003532117,0.00021880656,0.00021626582,0.00020322262,0.000010220961],"category_scores_gemma":[0.0018334157,0.00020950707,0.00018681945,0.00058967166,0.00006135327,0.00033528256,0.00017426352,0.0003590508,4.2365096e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019095688,0.001874188,0.0395925,0.0010055293,0.0019873471,0.000013497983,0.0071968064,0.18993966,0.001246773,0.50453913,0.0011001863,0.24959482],"study_design_scores_gemma":[0.0024990458,0.00035714247,0.0031580878,0.0001509655,0.00045911653,0.000003078407,0.00011589917,0.92080027,0.00024643747,0.07181511,0.00019505323,0.00019981767],"about_ca_topic_score_codex":0.000010293768,"about_ca_topic_score_gemma":0.0000011433825,"teacher_disagreement_score":0.7577538,"about_ca_system_score_codex":0.0002973221,"about_ca_system_score_gemma":0.00007642666,"threshold_uncertainty_score":0.854345},"labels":[],"label_agreement":null},{"id":"W4409795011","doi":"10.61091/jcmcc127b-495","title":"Design of a multi-objective optimization model of blended teaching for the improvement of music teachers’ teaching ability","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics education; Computer science; Teaching method; Psychology","score_opus":0.03721356097091446,"score_gpt":0.31068156937507024,"score_spread":0.2734680084041558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795011","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09741508,0.00016185154,0.8985895,0.00023117194,0.0030116108,0.00050977943,0.0000017398218,0.000014214522,0.00006504701],"genre_scores_gemma":[0.7406067,0.000008726952,0.25928384,0.000009737536,0.00007384922,0.0000050551903,2.8065276e-7,0.000007268935,0.000004510493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978294,0.00018532953,0.0012622866,0.0001928327,0.00034616952,0.00018398625],"domain_scores_gemma":[0.9941768,0.0028695685,0.001791483,0.00035920466,0.0007638441,0.000039117534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047694347,0.0001824195,0.0006328112,0.00023426785,0.00027468355,0.000037640762,0.0008508444,0.00015501757,5.585005e-7],"category_scores_gemma":[0.0015631345,0.00014294786,0.00016912066,0.00020388483,0.00013891482,0.00019543279,0.00028177208,0.0005138569,1.9886588e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007829272,0.0011152328,0.000062722575,0.00027589675,0.00022699627,1.6506736e-7,0.007489791,0.07766247,0.007566351,0.8997587,0.000035454705,0.005727912],"study_design_scores_gemma":[0.0018523696,0.00046636336,0.000025094456,0.00022600684,0.000087400826,0.0000024624246,0.0006816143,0.61057884,0.004357546,0.38163984,0.0000029963858,0.00007948034],"about_ca_topic_score_codex":0.000014917092,"about_ca_topic_score_gemma":1.8792225e-7,"teacher_disagreement_score":0.64319164,"about_ca_system_score_codex":0.00007629383,"about_ca_system_score_gemma":0.0005581218,"threshold_uncertainty_score":0.5829244},"labels":[],"label_agreement":null},{"id":"W4409795012","doi":"10.61091/jcmcc127b-437","title":"A Study on Color Emotion Mapping and Character Matching in Animated Films Based on Fuzzy Logic","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Character (mathematics); Fuzzy logic; Matching (statistics); Computer science; Artificial intelligence; Computer vision; Natural language processing; Computer graphics (images); Mathematics; Geometry","score_opus":0.021925992506426538,"score_gpt":0.27437024370374014,"score_spread":0.2524442511973136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98954725,0.000028426224,0.005830855,0.00009733505,0.0030798058,0.00039762387,0.000001240204,0.00006435832,0.00095311564],"genre_scores_gemma":[0.998527,0.0000058700457,0.0012362241,0.00005438617,0.00014781934,0.0000049582018,0.000001445647,0.000020554276,0.0000017728629],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860287,0.00006224296,0.0007370897,0.00015423677,0.0002649504,0.00017862013],"domain_scores_gemma":[0.99892265,0.0004974821,0.00023132471,0.00014710055,0.00013474612,0.000066696826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008750173,0.00020210176,0.0004444174,0.00042217376,0.00013984504,0.00013549393,0.00012888818,0.00010682975,0.0000016823722],"category_scores_gemma":[0.00012801868,0.0001900644,0.000052924646,0.00032577635,0.000017864942,0.00007315776,0.00004240282,0.0004041008,0.0000011389373],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030530157,0.003366576,0.002351447,0.0006023269,0.00020352186,0.000044915876,0.0075969505,0.15483236,0.003570534,0.8244157,0.0001733545,0.0025370114],"study_design_scores_gemma":[0.008064105,0.0007869978,0.0062703653,0.0011246544,0.000057938938,0.00000837894,0.0018970033,0.7853035,0.00020967016,0.19589747,0.00006944956,0.0003104883],"about_ca_topic_score_codex":0.0000028355162,"about_ca_topic_score_gemma":2.1151233e-7,"teacher_disagreement_score":0.6304711,"about_ca_system_score_codex":0.000084927095,"about_ca_system_score_gemma":0.000033665317,"threshold_uncertainty_score":0.7750601},"labels":[],"label_agreement":null},{"id":"W4409795013","doi":"10.61091/jcmcc127b-421","title":"Tucker inference learning method for knowledge graph decision making","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science Foundation of China University of Petroleum, Beijing; China University of Petroleum, Beijing","keywords":"Inference; Computer science; Graph; Artificial intelligence; Machine learning; Theoretical computer science","score_opus":0.015182264638907528,"score_gpt":0.2992167684957241,"score_spread":0.28403450385681656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795013","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12401331,0.0013819739,0.84250283,0.00004410118,0.028995026,0.00047208983,0.0000012735189,0.00017898738,0.0024104076],"genre_scores_gemma":[0.9793133,0.000028316803,0.01972024,0.000007279725,0.0008822031,0.0000069424887,4.880158e-7,0.000030489135,0.000010706479],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807346,0.00009243409,0.0011098955,0.00016633322,0.00022535115,0.0003325166],"domain_scores_gemma":[0.995625,0.0032323818,0.0004318929,0.0001692727,0.00047254545,0.00006886642],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022142902,0.0002706975,0.0008239385,0.00041079632,0.0003183377,0.00015348918,0.000372371,0.00038749803,0.0000021640415],"category_scores_gemma":[0.0015701499,0.0002506556,0.00021144527,0.0004488979,0.00004430664,0.00015948694,0.00012053097,0.0007811527,0.0000011539668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012861077,0.00013075248,0.00010528364,0.00034948887,0.00025560413,0.0000047861263,0.00052319234,0.0019191852,0.0006758903,0.9411107,0.00045571278,0.054340806],"study_design_scores_gemma":[0.0047926535,0.0003640784,0.000022882108,0.001530577,0.00015949564,0.000027466134,0.00036093427,0.13994798,0.00063497986,0.8472315,0.0046501383,0.00027728942],"about_ca_topic_score_codex":0.0000014655252,"about_ca_topic_score_gemma":4.1598753e-7,"teacher_disagreement_score":0.8553,"about_ca_system_score_codex":0.00009732337,"about_ca_system_score_gemma":0.00009054932,"threshold_uncertainty_score":0.9999946},"labels":[],"label_agreement":null},{"id":"W4409795014","doi":"10.61091/jcmcc127b-443","title":"Research on the development path of “stem +” education based on digital visualization and virtual reality","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Virtual reality; Visualization; Path (computing); Human–computer interaction; Computer science; Multimedia; Computer graphics (images); Artificial intelligence","score_opus":0.060998830786572304,"score_gpt":0.4079706988783321,"score_spread":0.3469718680917598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736683,0.000035444482,0.0036964351,0.0012204383,0.0054917233,0.00049132714,0.0000015497667,0.000020610776,0.0153742],"genre_scores_gemma":[0.9990402,0.0000072446237,0.00041432978,0.000049224607,0.0004420683,0.000004988214,0.0000012705478,0.000009017353,0.000031683863],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975316,0.00042552873,0.00073245727,0.00014008193,0.0009913434,0.00017898687],"domain_scores_gemma":[0.9944755,0.0029738822,0.0006035944,0.00014060561,0.0017437355,0.00006267322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067104152,0.00012319625,0.00028095965,0.00034581637,0.0006945834,0.00023209775,0.00028161542,0.000109090164,0.000002900048],"category_scores_gemma":[0.0014631122,0.00009502889,0.00004347515,0.00074174727,0.00026497836,0.0001276269,0.00008673491,0.0003519062,4.571327e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057877078,0.00068836287,0.0002397239,0.000056796947,0.000020064746,2.3795896e-7,0.004009073,0.000004422387,0.00003156111,0.9899763,0.0007705051,0.004145074],"study_design_scores_gemma":[0.0010062538,0.000880496,0.0010398156,0.0018089687,0.000020010002,0.0000010395702,0.017146891,0.000968142,0.0025787915,0.96890545,0.0054561216,0.00018799838],"about_ca_topic_score_codex":0.000015075646,"about_ca_topic_score_gemma":7.096318e-7,"teacher_disagreement_score":0.025371902,"about_ca_system_score_codex":0.0002450294,"about_ca_system_score_gemma":0.0016324035,"threshold_uncertainty_score":0.5342244},"labels":[],"label_agreement":null},{"id":"W4409795016","doi":"10.61091/jcmcc127b-452","title":"Using Corpus and Artificial Intelligence Technology to Build English Conversation Classroom Teaching Scenarios","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Conversation; Computer science; Artificial intelligence; Natural language processing; Corpus linguistics; Linguistics","score_opus":0.02686745439955696,"score_gpt":0.323027165755378,"score_spread":0.29615971135582103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55633074,0.00024162067,0.42415956,0.001949573,0.016802201,0.00022228666,5.127505e-7,0.000080556616,0.00021298403],"genre_scores_gemma":[0.9127399,0.000014773874,0.08662632,0.00008217777,0.0005211001,0.0000013107513,2.7908823e-7,0.000010280643,0.000003864676],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980452,0.00010368539,0.00092873786,0.0003006178,0.00032298456,0.00029875335],"domain_scores_gemma":[0.9975463,0.00072450045,0.00061359664,0.0002996148,0.0006902003,0.00012574716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015980001,0.00022715185,0.00052133243,0.0007738086,0.0003983372,0.0002789667,0.00073657476,0.0002835834,0.0000014021159],"category_scores_gemma":[0.0016399549,0.000227274,0.000067525914,0.00069311116,0.00013068506,0.00030019868,0.00057726173,0.00077777944,0.0000011410558],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002224748,0.00020689298,0.0004225899,0.000056866807,0.00005121109,0.0000066295484,0.0021004176,0.00008590034,0.0008512237,0.97976726,0.00005457498,0.016374206],"study_design_scores_gemma":[0.00050216063,0.0003587926,0.000052019655,0.00034569608,0.000046522116,0.00007868763,0.0012313628,0.029379992,0.0021373658,0.96493846,0.00071527634,0.00021366148],"about_ca_topic_score_codex":0.0000101153855,"about_ca_topic_score_gemma":6.546533e-7,"teacher_disagreement_score":0.3564092,"about_ca_system_score_codex":0.00011964219,"about_ca_system_score_gemma":0.00031695593,"threshold_uncertainty_score":0.9267965},"labels":[],"label_agreement":null},{"id":"W4409795017","doi":"10.61091/jcmcc127b-392","title":"Research on Union Adaboost Based on Sample Weight Updating Mechanism","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); AdaBoost; Sample (material); Artificial intelligence; Computer science; Pattern recognition (psychology); Chemistry; Chromatography; Support vector machine; Physics","score_opus":0.02821092812600578,"score_gpt":0.29868895471655216,"score_spread":0.27047802659054637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8444515,0.000079042286,0.02432469,0.013922068,0.04438973,0.001076779,0.000007194126,0.00031678256,0.071432225],"genre_scores_gemma":[0.9954618,0.0000049932587,0.0017510052,0.0004993643,0.0022302438,0.000004106445,0.0000057203883,0.0000321754,0.000010557483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974569,0.00008297661,0.00094927824,0.00026323492,0.00083558593,0.00041204153],"domain_scores_gemma":[0.996041,0.0018142607,0.0007844252,0.00036571888,0.00096569763,0.000028923077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041105957,0.00027191697,0.0005441882,0.0014956419,0.00086460146,0.00043140855,0.0005908045,0.00024780797,0.000023952505],"category_scores_gemma":[0.0012743856,0.00024089984,0.00012691364,0.0013345378,0.0001419277,0.00029397395,0.0003249213,0.0011234295,0.000018137767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007446158,0.0005133155,0.00025762914,0.00014466455,0.000046886085,0.000010139861,0.000027855194,0.00007153178,0.00010509989,0.994736,0.002446663,0.0015657574],"study_design_scores_gemma":[0.0031663948,0.00032412173,0.00009571545,0.0009736882,0.00006334159,0.0000027982678,0.00061935675,0.018903336,0.0006601795,0.96740955,0.0075565428,0.0002249656],"about_ca_topic_score_codex":0.00007118856,"about_ca_topic_score_gemma":0.000002113529,"teacher_disagreement_score":0.15101035,"about_ca_system_score_codex":0.00013972117,"about_ca_system_score_gemma":0.0001452007,"threshold_uncertainty_score":0.982361},"labels":[],"label_agreement":null},{"id":"W4409795019","doi":"10.61091/jcmcc127b-395","title":"Vibration Characteristics of Power-Split Transmission System with coupling misalignment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vibration; Coupling (piping); Transmission (telecommunications); Power transmission; Power (physics); Acoustics; Structural engineering; Materials science; Physics; Electrical engineering; Engineering; Mechanical engineering","score_opus":0.004644495245286239,"score_gpt":0.20317443622476833,"score_spread":0.1985299409794821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8232104,0.00019531665,0.17061377,0.000034353863,0.0044917776,0.00020315936,0.0000017802903,0.000046246616,0.0012031727],"genre_scores_gemma":[0.99276626,0.000028581799,0.007033179,0.0000038523285,0.00014004178,0.000001085381,0.0000010846582,0.000022061933,0.000003833647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835813,0.00002006673,0.0009830004,0.00009948892,0.00037844578,0.00016086783],"domain_scores_gemma":[0.9987015,0.00025058058,0.0004884078,0.00012986346,0.00034573837,0.0000838939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062267395,0.00018904866,0.00056322064,0.00016308023,0.00009244523,0.000092726645,0.00016234501,0.0001101737,0.0000033507652],"category_scores_gemma":[0.00004392629,0.00016161893,0.00007797442,0.0002250686,0.00003855434,0.00009104559,0.000032458982,0.00024011475,2.3667543e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117680414,0.0002173373,0.00018210623,0.0025050065,0.00018867053,0.000010009778,0.0013246695,0.0044866367,0.0044307257,0.98266476,0.00004846741,0.0038239188],"study_design_scores_gemma":[0.00640248,0.0012687924,0.0013886924,0.0050205146,0.00033191877,0.00006308059,0.0015422642,0.94814724,0.0035764242,0.030968497,0.00078769075,0.00050238555],"about_ca_topic_score_codex":0.0000022925508,"about_ca_topic_score_gemma":4.8510785e-8,"teacher_disagreement_score":0.9516963,"about_ca_system_score_codex":0.00007968787,"about_ca_system_score_gemma":0.000068337744,"threshold_uncertainty_score":0.6590628},"labels":[],"label_agreement":null},{"id":"W4409795020","doi":"10.61091/jcmcc127b-384","title":"Multi-objective genetic algorithm-based molecular screening of exosomes and modeling of their relationship with gene probes","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province","keywords":"Microvesicles; Computational biology; Genetic algorithm; Gene; Molecular model; Algorithm; Computer science; Biology; Genetics; Machine learning; Biochemistry; microRNA","score_opus":0.012773235008477832,"score_gpt":0.25270444012690524,"score_spread":0.23993120511842742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.666014,0.0017857744,0.33159113,0.000013010873,0.00037651497,0.00018456846,0.0000033143638,0.000003944956,0.000027706155],"genre_scores_gemma":[0.85104257,0.000025303236,0.14879577,0.0000072233524,0.0001005392,0.00000194609,0.0000027083095,0.000022169883,0.0000017572307],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984188,0.00012099448,0.00079865893,0.00021166792,0.00027433725,0.00017551795],"domain_scores_gemma":[0.9980901,0.00018529202,0.0007527355,0.00023733033,0.00064324436,0.00009128766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063244044,0.00022230115,0.0005047369,0.0001692676,0.00010562244,0.00003701864,0.00022382214,0.00014916486,3.918621e-7],"category_scores_gemma":[0.00031885543,0.0001911476,0.00012469236,0.00020072819,0.00015462878,0.000012714993,0.00015629402,0.0002026951,2.600906e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001960016,0.004554648,0.027067984,0.0035266734,0.0024388602,0.000088438996,0.0023887292,0.06911355,0.7556063,0.120598145,0.000026024934,0.012630652],"study_design_scores_gemma":[0.012633418,0.002059865,0.0018587118,0.0016553638,0.0005062214,0.0000601476,0.0008999188,0.46959972,0.4056156,0.10456223,0.000014887624,0.0005338982],"about_ca_topic_score_codex":0.000005024762,"about_ca_topic_score_gemma":1.9444106e-7,"teacher_disagreement_score":0.40048617,"about_ca_system_score_codex":0.000015679867,"about_ca_system_score_gemma":0.00021689304,"threshold_uncertainty_score":0.7794773},"labels":[],"label_agreement":null},{"id":"W4409795022","doi":"10.61091/jcmcc127b-424","title":"A study on the differences in burnout between 24/7 caregivers and shift-based caregivers based on computational analysis of multidimensional data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Healthcare Education and Workforce Issues","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Burnout; Psychology; Computer science; Clinical psychology","score_opus":0.04891703622684728,"score_gpt":0.34142871487394316,"score_spread":0.2925116786470959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916504,0.000052531614,0.00053584436,0.0026838814,0.0045576002,0.0004070237,0.000016759614,0.000011156881,0.000084783074],"genre_scores_gemma":[0.9991853,0.0000014281259,0.000517851,0.00007949158,0.00018873601,0.0000016417113,0.000012369731,0.0000121069315,0.0000010578226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971828,0.00047766292,0.0010096085,0.00029777174,0.0008122117,0.00021997301],"domain_scores_gemma":[0.9920908,0.006263058,0.0008125336,0.00037597617,0.0003444438,0.00011318835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019173281,0.0002448981,0.0009249417,0.00082194497,0.0002780021,0.000100391095,0.00045215827,0.00011149817,0.0000044835747],"category_scores_gemma":[0.0008194088,0.00018412,0.000118447744,0.0009950072,0.0001323545,0.0000751304,0.00012082787,0.0004977223,2.3183239e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021414089,0.00696158,0.6239059,0.00060498,0.0022475491,0.00004402289,0.041244205,0.013341668,0.000023034363,0.3055675,0.0008239104,0.0030942294],"study_design_scores_gemma":[0.027075691,0.0070666648,0.44727862,0.0050100135,0.0037316375,0.0000028390573,0.051832765,0.35817435,0.00022454695,0.098360114,0.00023056619,0.0010121943],"about_ca_topic_score_codex":0.0001440063,"about_ca_topic_score_gemma":0.000009843719,"teacher_disagreement_score":0.3448327,"about_ca_system_score_codex":0.00012813356,"about_ca_system_score_gemma":0.0002561343,"threshold_uncertainty_score":0.75081956},"labels":[],"label_agreement":null},{"id":"W4409795023","doi":"10.61091/jcmcc127b-411","title":"Application prospect of integration of smart grid and Internet of Things technology in distribution automation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Smart grid; Automation; The Internet; Internet of Things; Distribution (mathematics); Distribution grid; Computer science; Engineering; World Wide Web; Electrical engineering; Mathematics; Mechanical engineering","score_opus":0.00450012327909134,"score_gpt":0.21806274715953208,"score_spread":0.21356262388044076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92790353,0.00040293115,0.06845991,0.00003738275,0.002789895,0.0002185986,0.000002013935,0.00003793921,0.00014778787],"genre_scores_gemma":[0.9983358,0.00003783285,0.0015725612,4.5042805e-7,0.000041907024,0.000002409777,0.000001611044,0.0000068313275,6.0776546e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986329,0.000019758267,0.0010136381,0.00007771862,0.00016418261,0.00009179404],"domain_scores_gemma":[0.99877214,0.00014085342,0.0006888712,0.00011727028,0.00026524882,0.000015606602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066670973,0.00011454483,0.000523185,0.00034192242,0.00001846465,0.000015470696,0.00015439568,0.00016804972,2.336007e-7],"category_scores_gemma":[0.0002657339,0.00010436535,0.000045258,0.0004346049,0.00007948186,0.0001225854,0.00007919386,0.0002126842,3.754919e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028268973,0.00013971071,0.0017409282,0.0008412635,0.000052868847,5.5616965e-7,0.00058111124,0.00003778965,0.016530668,0.97480154,0.000034781202,0.005210536],"study_design_scores_gemma":[0.0023694413,0.00057570665,0.0019360787,0.0022558658,0.00006370851,0.000016824715,0.000636305,0.085460894,0.16075163,0.74570864,0.00007562736,0.00014926326],"about_ca_topic_score_codex":0.000019390629,"about_ca_topic_score_gemma":6.6597573e-7,"teacher_disagreement_score":0.22909287,"about_ca_system_score_codex":0.00006125098,"about_ca_system_score_gemma":0.000028010258,"threshold_uncertainty_score":0.42558953},"labels":[],"label_agreement":null},{"id":"W4409795024","doi":"10.61091/jcmcc127b-410","title":"The Profound Impact of Informatization Reform of College Physical Education Courses on Network Ideological and Political Education Based on Data Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Informatization; Ideology; Politics; Physical education; Sociology; Mathematics education; Political science; Pedagogy; Social science; Psychology; Computer science; Telecommunications","score_opus":0.019890153469330575,"score_gpt":0.3674598371403344,"score_spread":0.3475696836710038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806858,0.000095056195,0.0005471516,0.001622385,0.0044381423,0.00037662606,0.000009324238,0.000010413583,0.012215146],"genre_scores_gemma":[0.99852794,0.00001777848,0.0004594554,0.000069863825,0.0008938575,0.0000024240096,0.000009071718,0.00000465914,0.0000149514935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99794513,0.00028795766,0.00081779255,0.00013932788,0.00053428364,0.00027553405],"domain_scores_gemma":[0.9953842,0.0025662363,0.0008280529,0.0002685321,0.00079669507,0.00015628067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021071276,0.00014936116,0.00053538434,0.00019401689,0.00046327015,0.000094627605,0.00039089224,0.00013777397,0.0000035307467],"category_scores_gemma":[0.0022884482,0.00009460391,0.0001491817,0.0007848102,0.00041084085,0.00015854594,0.0001050595,0.0002693378,2.5661697e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001435441,0.0011133796,0.0019224338,0.00006632319,0.000120552,1.13702775e-7,0.00042761647,0.0000939782,0.0000033362824,0.9940974,0.00032418524,0.0016871294],"study_design_scores_gemma":[0.000853698,0.0011765095,0.010848793,0.00039131977,0.00044893616,0.0000013399355,0.0035037473,0.014173898,0.00003739371,0.9678887,0.0005356628,0.00013998292],"about_ca_topic_score_codex":0.00028614022,"about_ca_topic_score_gemma":0.0000062037443,"teacher_disagreement_score":0.02620869,"about_ca_system_score_codex":0.00023675438,"about_ca_system_score_gemma":0.0020726696,"threshold_uncertainty_score":0.38578355},"labels":[],"label_agreement":null},{"id":"W4409795025","doi":"10.61091/jcmcc127b-500","title":"Cloud Data Integrity Verification Algorithm for Smart Accounting Informatization in Cloud Computing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Informatization; Cloud computing; Computer science; Data integrity; Algorithm; Database; Operating system; World Wide Web","score_opus":0.025770408179907226,"score_gpt":0.29371328981628275,"score_spread":0.26794288163637553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795025","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061669897,0.00018723584,0.91265416,0.0004349251,0.024235172,0.00055580545,0.000017052813,0.00007083356,0.00017493512],"genre_scores_gemma":[0.8340608,0.0000340451,0.16437772,0.00007761281,0.0013921576,0.0000030560407,0.00003253496,0.000019793059,0.000002286358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996453,0.00015366626,0.0019500047,0.00040923944,0.0005871146,0.00044695832],"domain_scores_gemma":[0.9949946,0.0016253896,0.0014707138,0.00089658535,0.00089571206,0.00011703549],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0051911944,0.00030621054,0.0007586701,0.00051055005,0.00047204207,0.0007660941,0.0022472816,0.00023556138,6.7844144e-7],"category_scores_gemma":[0.0020452868,0.00031605942,0.00011924058,0.0011378063,0.00007832627,0.0013527017,0.0015392111,0.00079280976,0.0000012759185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002519193,0.00044505164,0.00035902343,0.00024915035,0.00006663689,0.000003361995,0.001542445,0.00006535291,0.00003731283,0.96997607,0.0011698108,0.0260606],"study_design_scores_gemma":[0.0032576944,0.00017081716,0.00022016047,0.0006147654,0.00004899262,0.00002844672,0.00035327004,0.7031442,0.0001485492,0.28966317,0.0020927477,0.00025721546],"about_ca_topic_score_codex":0.00004171394,"about_ca_topic_score_gemma":0.000004583601,"teacher_disagreement_score":0.7723909,"about_ca_system_score_codex":0.00023483898,"about_ca_system_score_gemma":0.00045102046,"threshold_uncertainty_score":0.99992913},"labels":[],"label_agreement":null},{"id":"W4409795026","doi":"10.61091/jcmcc127b-404","title":"Construction of a computational model for ecological environment change assessment based on coordination of multi – source remote sensing data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Environmental Sustainability and Technology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Remote sensing; Computer science; Ecology; Environmental resource management; Environmental science; Geography; Biology","score_opus":0.02729710318924625,"score_gpt":0.2823430192173519,"score_spread":0.2550459160281056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795026","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41053197,0.0000131948955,0.58789957,0.00028707628,0.00072551006,0.00044963925,0.000008190473,0.000009026332,0.00007581489],"genre_scores_gemma":[0.77621746,0.000004481782,0.22370252,0.000023127945,0.000034404275,7.340059e-7,0.0000060113507,0.0000084900175,0.0000027785773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981986,0.00008779626,0.0008635215,0.00024524966,0.00042891863,0.00017590036],"domain_scores_gemma":[0.9979083,0.0007007066,0.0009913091,0.00028071384,0.000065663335,0.00005329244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001365313,0.00017061293,0.00050182524,0.00012449421,0.00015267491,0.000018365101,0.00032213284,0.00016335848,0.000007970015],"category_scores_gemma":[0.00029606957,0.00016018146,0.00009758866,0.00014753563,0.00034075632,0.00011509289,0.00041866492,0.00023054992,2.349413e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082003477,0.006419551,0.006118576,0.001354555,0.00029641637,0.000009134697,0.0012030851,0.41380215,0.003138658,0.39713827,0.0001947437,0.16950482],"study_design_scores_gemma":[0.0025203915,0.00048348604,0.000738558,0.00010929665,0.00006420358,0.000004424338,0.00014909766,0.74861294,0.00026622094,0.24688861,0.00007122953,0.000091538976],"about_ca_topic_score_codex":0.000014753807,"about_ca_topic_score_gemma":5.703138e-7,"teacher_disagreement_score":0.3656855,"about_ca_system_score_codex":0.0002712494,"about_ca_system_score_gemma":0.00005268836,"threshold_uncertainty_score":0.653201},"labels":[],"label_agreement":null},{"id":"W4409795032","doi":"10.61091/jcmcc127b-492","title":"Analysis of thermodynamic behavior of high-speed mechanical devices by finite difference method","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Induction Heating and Inverter Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Materials science; Mechanics; Physics","score_opus":0.010585222012196579,"score_gpt":0.2600343697073902,"score_spread":0.2494491476951936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92891127,0.00019107747,0.06592407,0.000022978395,0.0046462314,0.000110706926,0.0000075784824,0.000041467665,0.00014459461],"genre_scores_gemma":[0.99502033,0.000027856793,0.0048448304,0.000005442194,0.00007841663,0.0000011789442,0.000002292493,0.000016224438,0.0000034015777],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803483,0.00008740384,0.0012379665,0.00013392822,0.00031820658,0.0001876665],"domain_scores_gemma":[0.9979546,0.00074784114,0.00065139274,0.00022315964,0.00036812015,0.000054868975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080670055,0.0002010018,0.0011078615,0.0005441169,0.000071239534,0.000030562638,0.00034849765,0.00022868527,0.0000063461894],"category_scores_gemma":[0.00020701255,0.00018133243,0.0002138825,0.00085075275,0.000066935776,0.00006224721,0.00009561114,0.00038892098,1.355698e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007326707,0.00093523203,0.001044832,0.0007127838,0.002716035,0.0000050265116,0.000785849,0.0023566072,0.07934022,0.9004936,0.00009270432,0.011443798],"study_design_scores_gemma":[0.0033959358,0.0007212956,0.0011106525,0.00060583855,0.0031472524,0.000014516211,0.00045853303,0.69264936,0.050120197,0.24734989,0.000044410295,0.00038213143],"about_ca_topic_score_codex":0.000028870369,"about_ca_topic_score_gemma":7.098233e-7,"teacher_disagreement_score":0.6902927,"about_ca_system_score_codex":0.00005528417,"about_ca_system_score_gemma":0.000043171927,"threshold_uncertainty_score":0.73945224},"labels":[],"label_agreement":null},{"id":"W4409795034","doi":"10.61091/jcmcc127b-408","title":"Computational study of multimodal action and identity recognition systems for bandwidth-constrained scenarios","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Action recognition; Action (physics); Bandwidth (computing); Identity (music); Artificial intelligence; Human–computer interaction; Telecommunications; Art; Aesthetics","score_opus":0.02755295340089752,"score_gpt":0.3030705440162576,"score_spread":0.2755175906153601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71667004,0.00012164773,0.27566782,0.000054003584,0.0068466966,0.0005408298,0.0000028193356,0.000024920482,0.000071238006],"genre_scores_gemma":[0.9910368,0.000026305685,0.008541208,0.0000128540205,0.00036324761,0.0000059931986,0.000002296969,0.000008746826,0.0000025656475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980288,0.00013038323,0.0010403541,0.00021390806,0.0004214592,0.00016510994],"domain_scores_gemma":[0.9968799,0.0008439149,0.0010339369,0.00013172826,0.0010280492,0.00008247409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013597531,0.00017983998,0.00054798287,0.00035173065,0.00031033996,0.0003557305,0.00026262677,0.00010837654,0.000001159657],"category_scores_gemma":[0.00028154362,0.00017365975,0.00009734172,0.00029483502,0.000052061958,0.0006812805,0.00013449941,0.00022420408,3.3626281e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032522163,0.004273139,0.00047575947,0.0012779632,0.00063910667,0.000012188593,0.0046664085,0.0016600342,0.0007975107,0.9446131,0.00027067497,0.040988915],"study_design_scores_gemma":[0.011528627,0.0016992649,0.0005571093,0.0006608004,0.00015384292,0.00006521512,0.0017531636,0.26979175,0.00028336325,0.713183,0.00007174387,0.00025212963],"about_ca_topic_score_codex":0.000022231681,"about_ca_topic_score_gemma":0.0000010596028,"teacher_disagreement_score":0.27436677,"about_ca_system_score_codex":0.00005432049,"about_ca_system_score_gemma":0.00012608882,"threshold_uncertainty_score":0.7081639},"labels":[],"label_agreement":null},{"id":"W4409795037","doi":"10.61091/jcmcc127b-378","title":"Research on Intelligent Learning Path Planning and Recommendation Algorithm in OMO Teaching Mode Based on Artificial Intelligence Grand Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Jiangxi Province","keywords":"Mode (computer interface); Computer science; Artificial intelligence; Path (computing); Machine learning; Algorithm; Human–computer interaction","score_opus":0.0772700511025839,"score_gpt":0.39994840129081727,"score_spread":0.3226783501882334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2161415,0.00010507683,0.7768144,0.0012194307,0.0046982067,0.00019871892,4.3407056e-7,0.000038802576,0.0007834232],"genre_scores_gemma":[0.97195005,0.000023936194,0.027638957,0.00005473883,0.00031124748,0.0000037687025,0.0000013949021,0.000012459334,0.0000034348398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99725133,0.00048174438,0.001039255,0.0003497455,0.0005227197,0.0003551856],"domain_scores_gemma":[0.9962796,0.0026632857,0.00040508583,0.0002132233,0.00034249134,0.00009630063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061052963,0.00022102585,0.0004562453,0.0010711396,0.0006114863,0.00031757582,0.00052985415,0.00021090663,0.0000013726569],"category_scores_gemma":[0.001048489,0.00021096876,0.00006530982,0.0005692474,0.00007364958,0.00021275949,0.00026108383,0.0020458328,9.967312e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000912332,0.00051383075,0.000101942474,0.000057467973,0.000019270869,0.000010669018,0.0016143344,0.026006784,0.000025747586,0.89808774,0.000019164414,0.0734518],"study_design_scores_gemma":[0.00033817987,0.00052016147,0.0000118123535,0.0005970664,0.0000054813313,0.0000067910364,0.000729965,0.53755146,0.00021764735,0.45986596,0.00005775793,0.00009768612],"about_ca_topic_score_codex":0.000017933842,"about_ca_topic_score_gemma":3.956335e-7,"teacher_disagreement_score":0.75580853,"about_ca_system_score_codex":0.00016328905,"about_ca_system_score_gemma":0.0002348134,"threshold_uncertainty_score":0.8888239},"labels":[],"label_agreement":null},{"id":"W4409795038","doi":"10.61091/jcmcc127b-380","title":"Design of an Internet of Things Data Collection and Computing-Based Decision Support Framework for Educational Management for Smart Campus","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"AI and Big Data Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Neijiang Normal University","keywords":"Internet of Things; Computer science; The Internet; Data collection; World Wide Web; Data science; Mathematics; Statistics","score_opus":0.030348107848184275,"score_gpt":0.31843488142887166,"score_spread":0.2880867735806874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795038","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019256419,0.00006958691,0.9751963,0.00022826692,0.0044514453,0.0007427025,0.000007763272,0.000013208532,0.000034301545],"genre_scores_gemma":[0.42687464,0.000006708075,0.57294387,0.000029141029,0.000117165764,0.000004824746,0.000012315469,0.000008091919,0.0000032399155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980095,0.00006514293,0.0010723526,0.00030953973,0.00036042565,0.00018305572],"domain_scores_gemma":[0.9943566,0.0031194952,0.001212786,0.0005205029,0.00070250523,0.00008814431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024213716,0.00017763133,0.00052917394,0.0002823321,0.00020681132,0.00016059224,0.0011478197,0.00012491534,9.606578e-7],"category_scores_gemma":[0.00053795584,0.00016502461,0.0000740691,0.00038234444,0.00007488009,0.00036221155,0.00051133276,0.00016067277,8.050349e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019685282,0.0007372007,0.00005499441,0.00047524838,0.00011112915,5.013065e-7,0.00049866864,0.000091127244,0.000074140786,0.9787478,0.0010345306,0.017977795],"study_design_scores_gemma":[0.0021342572,0.0006813285,0.000063270614,0.00043268723,0.000091198504,0.000007624439,0.000059026894,0.38037562,0.0007191656,0.6151164,0.00021783511,0.0001015712],"about_ca_topic_score_codex":0.000006477343,"about_ca_topic_score_gemma":1.7002782e-7,"teacher_disagreement_score":0.4076182,"about_ca_system_score_codex":0.00004777873,"about_ca_system_score_gemma":0.00030866908,"threshold_uncertainty_score":0.67295086},"labels":[],"label_agreement":null},{"id":"W4409795041","doi":"10.61091/jcmcc127b-505","title":"Parameter optimization of cataract IOL calculation model based on genetic algorithm and improvement of remote diagnosis and treatment effect","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genetic algorithm; Optimization algorithm; Computer science; Algorithm; Medicine; Optometry; Ophthalmology; Mathematics; Mathematical optimization; Machine learning","score_opus":0.008488834603934148,"score_gpt":0.2609449348025598,"score_spread":0.2524561001986257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93930334,0.00029983436,0.058817666,0.0000986902,0.0008905514,0.00051852484,0.000002462756,0.000005633281,0.00006328292],"genre_scores_gemma":[0.9641323,0.00018801732,0.035565533,0.00001726439,0.00007629032,0.0000021869994,0.0000024818153,0.000013498323,0.0000024367816],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860364,0.000055701075,0.0007470808,0.00015186743,0.00030953647,0.00013219127],"domain_scores_gemma":[0.9982541,0.0006284088,0.000627306,0.0001394765,0.00025987957,0.00009083357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044090304,0.00020371715,0.0007411371,0.00021701716,0.00007541005,0.000026046115,0.00005296418,0.000114831506,9.2027733e-7],"category_scores_gemma":[0.00025164708,0.00014878275,0.00012226625,0.0001425174,0.000075147145,0.00003730953,0.000041509546,0.00013622225,3.1064975e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005889071,0.009740473,0.040695257,0.0093246745,0.0023148216,0.000087006934,0.0032943657,0.05354412,0.0067632617,0.04186504,0.00012593142,0.826356],"study_design_scores_gemma":[0.009207254,0.0066415817,0.0022183734,0.0012275839,0.0006087538,0.000012844292,0.000046287147,0.9587916,0.0043590586,0.016759682,0.0000079523925,0.00011901597],"about_ca_topic_score_codex":0.000027116519,"about_ca_topic_score_gemma":1.1698459e-7,"teacher_disagreement_score":0.9052475,"about_ca_system_score_codex":0.00006049764,"about_ca_system_score_gemma":0.00009614039,"threshold_uncertainty_score":0.6067185},"labels":[],"label_agreement":null},{"id":"W4409795042","doi":"10.61091/jcmcc127b-386","title":"RESTful API-based software interface testing techniques and common problems analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Software testing; Software engineering; Interface (matter); Software; Operating system; Programming language","score_opus":0.018204846784951725,"score_gpt":0.2816590800225939,"score_spread":0.26345423323764217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795042","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1524381,0.0010490993,0.839511,0.00037734373,0.0035274639,0.0004342187,0.0000014683266,0.0021005294,0.00056078465],"genre_scores_gemma":[0.70015097,0.000009831219,0.29960704,0.000039996692,0.00016775225,0.0000037478098,4.583192e-7,0.000016332731,0.0000039059714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972704,0.00017930058,0.001252733,0.00039103083,0.0005382972,0.0003682259],"domain_scores_gemma":[0.99423623,0.00309251,0.0011559583,0.0005380672,0.0008111123,0.00016614106],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024788093,0.00036145936,0.0010224,0.0008519333,0.00040368244,0.000670671,0.0009799494,0.00020411654,5.9267876e-7],"category_scores_gemma":[0.0018782691,0.00032761582,0.00018697651,0.0018358423,0.00013502734,0.00030788896,0.0006994018,0.00061557133,2.955832e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013453208,0.0018943337,0.049913663,0.001987361,0.0014292353,0.00019196994,0.0023652057,0.0006377857,0.00067302457,0.796374,0.0018816183,0.14251725],"study_design_scores_gemma":[0.0016376772,0.00088212424,0.00046416855,0.0016701445,0.00037925952,0.00010308413,0.000025133046,0.082917675,0.002400566,0.9086914,0.00040275953,0.00042598974],"about_ca_topic_score_codex":0.000049168393,"about_ca_topic_score_gemma":8.738519e-7,"teacher_disagreement_score":0.5477128,"about_ca_system_score_codex":0.0001004568,"about_ca_system_score_gemma":0.00021103479,"threshold_uncertainty_score":0.99991757},"labels":[],"label_agreement":null},{"id":"W4409795044","doi":"10.61091/jcmcc127b-487","title":"Research on the reliability assessment method of bridges incorporating transversely distributed damage information","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Computer science; Structural engineering; Engineering; Physics","score_opus":0.031439360409176026,"score_gpt":0.36370553669662714,"score_spread":0.33226617628745114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9322559,0.00003423124,0.058169845,0.00033015985,0.0076028234,0.0004712565,0.000010437698,0.00008295138,0.0010423783],"genre_scores_gemma":[0.9812748,0.00001580712,0.018414544,0.000008067793,0.00026689025,0.000004260931,0.00000212599,0.000013019994,4.784043e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99729854,0.00032850855,0.0012691629,0.00010071212,0.0007487887,0.0002543153],"domain_scores_gemma":[0.99549335,0.0026784528,0.0005167398,0.0002907642,0.0009435241,0.00007717875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006147385,0.00019115864,0.00052795495,0.00029380148,0.00028843328,0.00013110226,0.00043762344,0.00015347794,0.0000017054293],"category_scores_gemma":[0.00073996006,0.00014314453,0.00010449027,0.0006444133,0.000105793624,0.00023863828,0.000121622295,0.0010310749,3.3922703e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007568919,0.00010499033,0.00018182141,0.0009075049,0.000068652625,0.0000019506792,0.00077662896,0.0031139122,0.0003071147,0.98876387,0.0006463162,0.0050515593],"study_design_scores_gemma":[0.0022240907,0.00086612825,0.005382073,0.0017290098,0.00007385411,0.000013046302,0.002536829,0.1343254,0.008768778,0.8431602,0.00065692706,0.0002636331],"about_ca_topic_score_codex":0.000018678951,"about_ca_topic_score_gemma":1.463407e-7,"teacher_disagreement_score":0.14560364,"about_ca_system_score_codex":0.0002962273,"about_ca_system_score_gemma":0.0001663159,"threshold_uncertainty_score":0.58372647},"labels":[],"label_agreement":null},{"id":"W4409795048","doi":"10.61091/jcmcc127b-453","title":"Online art teaching course design based on 5g technology and big data assistance and its impact on instructional delivery","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Course (navigation); Big data; Computer science; Online course; Instructional design; Mathematics education; Multimedia; Psychology; Engineering","score_opus":0.032492719785240695,"score_gpt":0.31334768224339493,"score_spread":0.2808549624581542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91814715,0.00040992317,0.06506076,0.0016261204,0.013746986,0.0003166075,0.000015616359,0.000079963145,0.000596855],"genre_scores_gemma":[0.9865962,0.00003812149,0.0127517665,0.000102809405,0.00048558987,0.0000010429471,0.0000028325112,0.000014640373,0.000006996582],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99796045,0.00012409828,0.00069280114,0.00038894452,0.0005418975,0.00029178266],"domain_scores_gemma":[0.9972178,0.0013096929,0.0005510163,0.0004254489,0.00028007888,0.00021596775],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014026007,0.00030394003,0.0006018093,0.0004416502,0.00032033515,0.00041860586,0.0008062551,0.00015751032,5.5244766e-7],"category_scores_gemma":[0.0007660783,0.0002457458,0.00006327131,0.00045346207,0.000098733406,0.0004273248,0.00047764636,0.00067998853,8.663812e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016278421,0.0012532688,0.00021718242,0.00011711389,0.00012100015,0.00004000642,0.000076262135,0.0001192213,0.00013690774,0.9591247,0.00055856316,0.038073003],"study_design_scores_gemma":[0.0063413354,0.0033674722,0.0010253529,0.002306,0.00011209509,0.00015794819,0.00010647475,0.40256932,0.0005043211,0.5819431,0.0010958073,0.00047077626],"about_ca_topic_score_codex":8.664263e-7,"about_ca_topic_score_gemma":1.002293e-7,"teacher_disagreement_score":0.4024501,"about_ca_system_score_codex":0.0000720244,"about_ca_system_score_gemma":0.00040586895,"threshold_uncertainty_score":0.99999946},"labels":[],"label_agreement":null},{"id":"W4409795050","doi":"10.61091/jcmcc127b-414","title":"Research on students’ physical fitness evaluation based on improved K-means and decision tree algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Decision tree; Computer science; Tree (set theory); Decision tree learning; Physical fitness; Algorithm; Machine learning; Psychology; Mathematics; Medicine; Physical therapy; Combinatorics","score_opus":0.0341592194335322,"score_gpt":0.35356895789318704,"score_spread":0.3194097384596548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818065,0.000037390633,0.0072409185,0.0010102333,0.0063235424,0.00052584073,9.590462e-7,0.000046890385,0.0030076809],"genre_scores_gemma":[0.9964751,0.000004504424,0.0017436871,0.00020048168,0.0015371625,0.0000083281775,0.000003042436,0.000023155175,0.000004536794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973767,0.00006451527,0.0007211714,0.00027989867,0.0012510028,0.0003067442],"domain_scores_gemma":[0.9961262,0.0014561174,0.00056134665,0.0003011796,0.0015264788,0.00002868606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044735675,0.0002469357,0.00053100206,0.0011089495,0.0006037175,0.0005468882,0.0004948001,0.0001860464,0.000005011938],"category_scores_gemma":[0.0010217549,0.00021077656,0.000101186386,0.0011851139,0.00017356769,0.00028310317,0.000338535,0.00085209054,0.0000047657363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017307652,0.0016617535,0.00057347317,0.00012403824,0.00007417908,0.0000071902145,0.000076988006,0.00010931686,0.0001103953,0.91914636,0.0007803787,0.077162825],"study_design_scores_gemma":[0.0060673407,0.00040865844,0.0010914127,0.000675708,0.000119059245,0.0000020765765,0.00046267032,0.30483752,0.00010308164,0.6856231,0.0004404749,0.00016888848],"about_ca_topic_score_codex":0.000016633843,"about_ca_topic_score_gemma":0.000001273465,"teacher_disagreement_score":0.3047282,"about_ca_system_score_codex":0.00011007375,"about_ca_system_score_gemma":0.000102661244,"threshold_uncertainty_score":0.85952187},"labels":[],"label_agreement":null},{"id":"W4409795058","doi":"10.61091/jcmcc127b-482","title":"Numerical study on the stability of reservoir dams by water flow under complex boundary conditions","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flow (mathematics); Stability (learning theory); Petroleum engineering; Environmental science; Boundary (topology); Geology; Mechanics; Computer science; Mathematics; Physics","score_opus":0.018451954506565445,"score_gpt":0.2626910062498005,"score_spread":0.24423905174323507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98171717,0.00009331982,0.008876838,0.00033328912,0.0073409406,0.00033764818,0.000011100687,0.00006248852,0.0012272131],"genre_scores_gemma":[0.9994664,0.0000054766656,0.00025765973,0.00001719082,0.00021549471,0.000003285895,0.0000038059882,0.000027190532,0.0000034836976],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979525,0.00013446658,0.0010083767,0.0001421775,0.0004850771,0.00027740575],"domain_scores_gemma":[0.9982026,0.00096081314,0.00018207156,0.00033546885,0.00022608413,0.00009296978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014100878,0.00025538477,0.0006654037,0.000118480435,0.00025272585,0.00011656295,0.00039502577,0.00010104461,0.000018760067],"category_scores_gemma":[0.0001637698,0.00017051885,0.00014747954,0.00025247736,0.000100080855,0.0000845488,0.00011405726,0.00057393376,0.0000016121128],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037304446,0.006565131,0.0014058182,0.0013314557,0.0021023443,0.000026887225,0.007898579,0.060887814,0.016006095,0.88689995,0.015942646,0.00056024373],"study_design_scores_gemma":[0.010685,0.002565148,0.0027745257,0.00091734115,0.00040910367,0.000031656673,0.0035058975,0.24139929,0.018231574,0.71518874,0.0033946517,0.0008970701],"about_ca_topic_score_codex":0.0000051072493,"about_ca_topic_score_gemma":1.2876463e-7,"teacher_disagreement_score":0.18051147,"about_ca_system_score_codex":0.00010274639,"about_ca_system_score_gemma":0.00005015803,"threshold_uncertainty_score":0.6953557},"labels":[],"label_agreement":null},{"id":"W4409795060","doi":"10.61091/jcmcc127b-472","title":"A study of multi-objective dynamic planning for intelligent laboratory management programs in nonlinear engineering environments","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Nonlinear system; Computer science; Systems engineering; Engineering management; Engineering; Physics","score_opus":0.01150487132373037,"score_gpt":0.26077460610721515,"score_spread":0.24926973478348477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95558196,0.00055365846,0.037889186,0.0000021278618,0.005071479,0.00080424914,0.0000011812173,0.00004430428,0.00005187191],"genre_scores_gemma":[0.9766896,0.000020105728,0.02313692,0.0000011863984,0.000084847336,0.000018865076,0.0000010554807,0.000045002034,0.0000024349508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982777,0.00002979589,0.0009868746,0.00016077243,0.00027794525,0.00026690145],"domain_scores_gemma":[0.99919593,0.00024202681,0.00026642627,0.00015648891,0.00007527251,0.00006382264],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00069669855,0.00026140295,0.0006074685,0.00041154225,0.000053504973,0.000050075698,0.00025086326,0.00009744884,3.2913556e-7],"category_scores_gemma":[0.000086663626,0.00027897867,0.00008330991,0.00035309387,0.000021926644,0.00009697159,0.00013117725,0.00031031316,1.7850674e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032958545,0.00885484,0.006087396,0.004814627,0.002337057,0.00015768266,0.032160886,0.87249,0.014523321,0.051229946,0.00001857108,0.006996124],"study_design_scores_gemma":[0.015600985,0.0019977463,0.0014376318,0.0035324008,0.00024832698,0.000013036593,0.015589099,0.95045227,0.0056025865,0.0043780054,0.000448697,0.000699194],"about_ca_topic_score_codex":0.0000016792854,"about_ca_topic_score_gemma":2.4205525e-7,"teacher_disagreement_score":0.077962324,"about_ca_system_score_codex":0.0002492594,"about_ca_system_score_gemma":0.000019285091,"threshold_uncertainty_score":0.99996626},"labels":[],"label_agreement":null},{"id":"W4409795074","doi":"10.61091/jcmcc127b-401","title":"A data fusion algorithm based study on the presence of polybrominated diphenyl ethers (PBDEs) and novel brominated flame retardants (NBFRs) in copper laminate sorting residues","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Environmental and Industrial Safety","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Polybrominated diphenyl ethers; Fire retardant; Chemistry; Copper; Sorting; Environmental chemistry; Computer science; Organic chemistry; Algorithm; Pollutant","score_opus":0.02690613490622106,"score_gpt":0.2684015111634747,"score_spread":0.24149537625725365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962036,0.000060151335,0.00046234703,0.00032405742,0.0017373493,0.0006632881,0.00001414752,0.000011628938,0.0005234283],"genre_scores_gemma":[0.9987523,0.000016273383,0.0010574231,0.000035636134,0.0000983775,0.000002636383,0.0000028634943,0.000021120652,0.000013367368],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968381,0.00034133246,0.0013043187,0.00039816374,0.0007826856,0.00033538791],"domain_scores_gemma":[0.99678993,0.001508759,0.0010339939,0.0005095349,0.000052574946,0.00010518136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038383135,0.00031209987,0.00070960924,0.00014051415,0.0002840611,0.00009249611,0.0008366883,0.00016493117,0.0000204335],"category_scores_gemma":[0.0009990782,0.00022668425,0.000073052164,0.0005314122,0.00028629557,0.00024717752,0.0011441627,0.00067279505,0.0000012117379],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008780315,0.051491797,0.3459296,0.0015459115,0.0021087918,0.0005486227,0.031569246,0.0058099004,0.19630262,0.20986836,0.004691017,0.14135383],"study_design_scores_gemma":[0.06378605,0.010114333,0.2400954,0.009120932,0.0010976708,0.00007195617,0.0220937,0.4120845,0.030299662,0.2074171,0.0012248064,0.002593888],"about_ca_topic_score_codex":0.00014687044,"about_ca_topic_score_gemma":0.000008368132,"teacher_disagreement_score":0.4062746,"about_ca_system_score_codex":0.0001475281,"about_ca_system_score_gemma":0.00005622869,"threshold_uncertainty_score":0.92439157},"labels":[],"label_agreement":null},{"id":"W4409795079","doi":"10.61091/jcmcc127b-448","title":"Design of Intelligent Control Platform for Electric Power Informatization Based on Intelligent Data Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Informatization; Control (management); Computer science; Intelligent control; Systems engineering; Control engineering; Engineering; Artificial intelligence; World Wide Web","score_opus":0.019160995351482295,"score_gpt":0.25214700794355144,"score_spread":0.23298601259206914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795079","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02489262,0.0003958632,0.96838266,0.000024829586,0.005503003,0.0004907403,0.000008398555,0.00006340331,0.00023849739],"genre_scores_gemma":[0.9942781,0.00004924968,0.005541911,0.000011093071,0.000092279086,0.000003836138,0.0000049918353,0.000017554237,0.0000010245823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979068,0.0000314411,0.0013364584,0.0001348575,0.00035871533,0.00023173638],"domain_scores_gemma":[0.9972237,0.0012233333,0.0006698913,0.00042172713,0.00040371116,0.000057672667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016687609,0.00023046,0.0008466118,0.0008458475,0.00009314638,0.00010121341,0.00059499615,0.00017130155,0.0000018806844],"category_scores_gemma":[0.00060542027,0.00019749049,0.00015933595,0.00086099614,0.00002893023,0.00016567062,0.00008769979,0.00025752318,3.345853e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046814673,0.00072719867,0.00022581633,0.001251682,0.0029704026,0.000004307365,0.0007428071,0.26055807,0.00079393183,0.72093636,0.0010184266,0.01030285],"study_design_scores_gemma":[0.0020861463,0.00063270575,0.000017215767,0.00031986085,0.0004676732,0.0000017210531,0.0001523219,0.9215637,0.004201456,0.06996753,0.00042033585,0.00016936085],"about_ca_topic_score_codex":0.00000193243,"about_ca_topic_score_gemma":1.2817453e-7,"teacher_disagreement_score":0.96938545,"about_ca_system_score_codex":0.00010652452,"about_ca_system_score_gemma":0.000099910445,"threshold_uncertainty_score":0.8053428},"labels":[],"label_agreement":null},{"id":"W4409795089","doi":"10.61091/jcmcc127b-446","title":"Construction of Emergency Response Mechanism and Data Protection System in Network Security","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Emergency response; Computer security; Mechanism (biology); Protection mechanism; Computer science; Business; Medical emergency; Medicine","score_opus":0.01732853166628484,"score_gpt":0.2613799346095641,"score_spread":0.24405140294327926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8011302,0.00045630735,0.1716578,0.00016143825,0.026024567,0.00037009604,0.0000012755331,0.000039584294,0.00015875803],"genre_scores_gemma":[0.99065495,0.00009126921,0.008794236,0.0000041522685,0.00044512944,0.0000015083571,3.4496333e-7,0.000007335363,0.0000010992081],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99754244,0.00037249696,0.0012171505,0.00027359824,0.00037987187,0.00021442666],"domain_scores_gemma":[0.99772507,0.00035915297,0.0010591024,0.0004268754,0.0003558324,0.00007395227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004516338,0.00017644902,0.00056084886,0.00029456892,0.00021417785,0.00011102109,0.00062102184,0.00017351173,0.0000010319022],"category_scores_gemma":[0.00041506853,0.00017093397,0.000060908744,0.0007887506,0.00004800866,0.00047402972,0.0007369501,0.00043919112,1.8297709e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024821935,0.00013418618,0.00008707066,0.00032717647,0.00004046992,0.0000063195275,0.000550875,0.000037411464,0.0003386353,0.99516726,0.000052911797,0.0030094767],"study_design_scores_gemma":[0.001756359,0.00042676,0.00013466302,0.0008211674,0.000033250246,0.000085286774,0.00024860262,0.17763808,0.0005529882,0.8179742,0.00019536444,0.0001332921],"about_ca_topic_score_codex":0.000021457094,"about_ca_topic_score_gemma":0.0000017081497,"teacher_disagreement_score":0.18952474,"about_ca_system_score_codex":0.00008119739,"about_ca_system_score_gemma":0.00013408165,"threshold_uncertainty_score":0.6970485},"labels":[],"label_agreement":null},{"id":"W4409795093","doi":"10.61091/jcmcc127b-493","title":"Research on blockchain-enabled consistency enhancement techniques for on-chain and off-chain interactions of privacy data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"State Grid Shandong Electric Power Company","keywords":"Blockchain; Chain (unit); Consistency (knowledge bases); Computer science; Computer security; Data consistency; Information privacy; Internet privacy; Distributed computing; Artificial intelligence; Physics","score_opus":0.066842085057216,"score_gpt":0.36985539383101074,"score_spread":0.30301330877379473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795093","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38751885,0.0012881637,0.5568024,0.021787355,0.024342341,0.0032861119,0.00005551143,0.00037216453,0.0045470977],"genre_scores_gemma":[0.82952565,0.00011556892,0.16996776,0.00004972424,0.00029170615,0.000012843267,0.0000026902846,0.000019853926,0.00001421434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99659735,0.00025118867,0.0013459714,0.0005356378,0.000830464,0.0004394078],"domain_scores_gemma":[0.9889564,0.0053012553,0.0010151484,0.0035719587,0.001043745,0.00011152365],"candidate_categories":["metaresearch","metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.006497544,0.00028895246,0.0008101308,0.00086578575,0.00047027282,0.00030017595,0.009086207,0.00018521803,0.000001473127],"category_scores_gemma":[0.020597592,0.00025788337,0.00009754129,0.00075623044,0.00025339224,0.00025652107,0.02212856,0.0008887555,4.753171e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014245817,0.0009261504,0.00001581034,0.00034647604,0.00015282925,0.000008699377,0.00024110821,0.0000039712518,0.0010215514,0.9624947,0.012268617,0.022377642],"study_design_scores_gemma":[0.0021322148,0.0016649966,0.000009551377,0.001725257,0.000039519608,0.00001886916,0.00027881918,0.06495117,0.012938734,0.9125008,0.003538487,0.00020157392],"about_ca_topic_score_codex":0.000009290229,"about_ca_topic_score_gemma":5.1260923e-7,"teacher_disagreement_score":0.44200677,"about_ca_system_score_codex":0.00015740252,"about_ca_system_score_gemma":0.00032055698,"threshold_uncertainty_score":0.99998736},"labels":[],"label_agreement":null},{"id":"W4409795095","doi":"10.61091/jcmcc127b-480","title":"A Multi-Participant Benefit Maximization Model and Strategy Optimization in Market Transactions Incorporating Game Theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Southern Power Grid","keywords":"Game theory; Maximization; Computer science; Utility maximization; Microeconomics; Mathematical optimization; Mathematical economics; Industrial organization; Economics; Mathematics","score_opus":0.059194704454808594,"score_gpt":0.33708259428989296,"score_spread":0.2778878898350844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795095","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20346354,0.00013859685,0.79383695,0.00015658276,0.0014861033,0.00025091408,0.000002879039,0.000017783741,0.00064662175],"genre_scores_gemma":[0.97426116,0.000029475386,0.025490647,0.000021191743,0.00010027612,0.000005472771,6.651509e-7,0.000013308415,0.00007781268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970718,0.00025187145,0.0016883877,0.0002686353,0.0005148148,0.00020450394],"domain_scores_gemma":[0.99629647,0.0016085549,0.001141485,0.00022725957,0.0006094471,0.00011677648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054701627,0.00019815496,0.00057307055,0.00048528187,0.00031442652,0.00030490546,0.00032015596,0.00014770297,0.000017173092],"category_scores_gemma":[0.0012178728,0.0001706248,0.00009340403,0.0008437715,0.00012750512,0.00041339226,0.000083267216,0.00036091337,6.2722506e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010199087,0.00034356213,0.00010239932,0.000027983455,0.00003057439,0.0000018782075,0.00088448485,0.27364007,0.00013966669,0.72097635,0.000012656156,0.0037383721],"study_design_scores_gemma":[0.0012983702,0.00005669035,0.00009900888,0.00008814644,0.00003842008,0.0000097251395,0.00089052354,0.49236646,0.000054528184,0.5050097,0.0000075791427,0.00008086282],"about_ca_topic_score_codex":0.0000032612002,"about_ca_topic_score_gemma":0.0000019149743,"teacher_disagreement_score":0.7707976,"about_ca_system_score_codex":0.000057139434,"about_ca_system_score_gemma":0.00016348062,"threshold_uncertainty_score":0.6957877},"labels":[],"label_agreement":null},{"id":"W4409795096","doi":"10.61091/jcmcc127b-454","title":"An Exploration of the Application of Case Study Teaching of Flatwork Literacy in Professional Practice","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Literacy; Pedagogy; Professional development; Medical education; Sociology; Mathematics education; Psychology; Medicine","score_opus":0.01577007292218181,"score_gpt":0.34252105591548265,"score_spread":0.32675098299330085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99318665,0.00001883629,0.0030012925,0.00013626521,0.0028744047,0.00036383324,6.6754404e-7,0.0000021207381,0.00041590384],"genre_scores_gemma":[0.9963132,0.0000019151664,0.0035585773,0.000010318042,0.00010208532,0.0000034383456,5.026831e-7,0.0000057049137,0.0000042493984],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980528,0.00018250331,0.0011344092,0.00010043791,0.00044404535,0.00008580646],"domain_scores_gemma":[0.9973356,0.0005957402,0.0015463645,0.00020155664,0.00029203584,0.00002867259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023118018,0.000094855524,0.00030131382,0.000109172666,0.00014150834,0.000021922608,0.0002441103,0.000056232348,0.0000023775958],"category_scores_gemma":[0.0006725366,0.00006706647,0.00005173037,0.00053858303,0.00007204316,0.0007401266,0.00014647935,0.00029550254,1.0043966e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011815554,0.0076195574,0.039755944,0.00017483815,0.000065081455,0.000005709776,0.021762133,0.0012974493,0.003736219,0.9177409,0.00005172085,0.00767229],"study_design_scores_gemma":[0.005275929,0.0015819068,0.01981409,0.001127717,0.00021051426,0.00012264229,0.0401792,0.019456366,0.0024523684,0.90906054,0.00045246602,0.00026626926],"about_ca_topic_score_codex":0.00016039534,"about_ca_topic_score_gemma":0.0000033305564,"teacher_disagreement_score":0.019941855,"about_ca_system_score_codex":0.00007368126,"about_ca_system_score_gemma":0.000105217354,"threshold_uncertainty_score":0.27348912},"labels":[],"label_agreement":null},{"id":"W4409795097","doi":"10.61091/jcmcc127b-393","title":"Analysis and evaluation of college entrance examination questions based on clustering algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Algorithm; Artificial intelligence","score_opus":0.014641373454826401,"score_gpt":0.3066920186543554,"score_spread":0.292050645199529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795097","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29804033,0.00018713744,0.6957519,0.0005196891,0.004560798,0.000250025,0.000002443779,0.000024472703,0.0006632161],"genre_scores_gemma":[0.9541881,0.000012291906,0.0456792,0.00001715571,0.00009184663,0.00000356645,8.4704266e-7,0.000004231279,0.0000027492993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981211,0.00021586774,0.00068882614,0.00018635647,0.00065452454,0.0001333348],"domain_scores_gemma":[0.99729085,0.00080560555,0.0006890009,0.00023247006,0.0009273347,0.00005475647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033553643,0.0001421444,0.00043026338,0.0006644782,0.00018715869,0.000080632075,0.00033808587,0.00010815698,0.0000016344987],"category_scores_gemma":[0.00035632114,0.00013542434,0.00009356542,0.001022866,0.00006609212,0.00017612704,0.000118335185,0.00022694045,1.165395e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009258469,0.0005491002,0.0005874357,0.00007581453,0.00020636943,0.0000016361954,0.00025272716,0.0012985653,0.000100637386,0.9609981,0.000014592765,0.035905752],"study_design_scores_gemma":[0.0017848349,0.0002449529,0.0073934747,0.00026909,0.00034259545,0.0000048114503,0.00010941588,0.69365734,0.0006921765,0.29537964,0.000024617357,0.00009702906],"about_ca_topic_score_codex":0.000003649685,"about_ca_topic_score_gemma":4.9338036e-7,"teacher_disagreement_score":0.6923588,"about_ca_system_score_codex":0.00010699585,"about_ca_system_score_gemma":0.00028564793,"threshold_uncertainty_score":0.5522444},"labels":[],"label_agreement":null},{"id":"W4409795099","doi":"10.61091/jcmcc127b-435","title":"Bayesian network-based multimodal large model optimization of speech text and its fault prediction capability in power industry","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Fault (geology); Bayesian network; Power (physics); Bayesian probability; Artificial intelligence; Speech recognition; Machine learning","score_opus":0.007152152404058648,"score_gpt":0.22627115187924082,"score_spread":0.21911899947518218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8726576,0.00049642916,0.12014221,0.000044393884,0.0057822834,0.00030378904,0.000007395656,0.00007564282,0.0004902841],"genre_scores_gemma":[0.99403876,0.000020682013,0.0057584313,0.000003970052,0.00015487467,0.0000020271816,9.666443e-7,0.000018671055,0.0000016106432],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982637,0.000048766335,0.0010163336,0.00014278268,0.00027239232,0.00025601647],"domain_scores_gemma":[0.9989277,0.00022380071,0.000362535,0.00015719862,0.00026349904,0.00006523375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011397349,0.00020770721,0.00060851034,0.00025103765,0.00008229784,0.000057194186,0.0001815055,0.0004389657,0.000002051431],"category_scores_gemma":[0.00029403163,0.0002002264,0.000070417154,0.0003724049,0.000039184284,0.0001544297,0.00009836783,0.0006571763,6.47232e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006962495,0.00037823146,0.0035530955,0.00079971197,0.00010299354,0.000008514696,0.00049003196,0.81177396,0.00031823965,0.1817596,0.00012554872,0.0006204394],"study_design_scores_gemma":[0.0029791708,0.00014182899,0.00022228458,0.000676597,0.000032814078,0.000007009587,0.00014552154,0.936779,0.00068724673,0.058169562,0.000024276293,0.00013468275],"about_ca_topic_score_codex":0.000004603456,"about_ca_topic_score_gemma":9.493648e-7,"teacher_disagreement_score":0.12500502,"about_ca_system_score_codex":0.000098298195,"about_ca_system_score_gemma":0.00008629056,"threshold_uncertainty_score":0.81649953},"labels":[],"label_agreement":null},{"id":"W4409795100","doi":"10.61091/jcmcc127b-426","title":"Classification and identification of tempered flexural organization of spring steel based on improved GLCM-Resnet18","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Spring (device); Identification (biology); Forensic engineering; Engineering; Ecology; Structural engineering; Biology","score_opus":0.00740590983965505,"score_gpt":0.238190643363027,"score_spread":0.23078473352337195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85597664,0.00015231203,0.14017864,0.000031174368,0.0032577028,0.00019443598,0.0000019091315,0.000035361354,0.00017183353],"genre_scores_gemma":[0.99548733,0.00004387987,0.0043324297,0.0000034712352,0.00010598142,8.2478573e-7,0.0000021574401,0.000022001665,0.0000019345348],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855316,0.000030197083,0.00097053073,0.0001112638,0.0002263317,0.00010851428],"domain_scores_gemma":[0.99817765,0.00028170954,0.0007733456,0.00014276987,0.00058143685,0.00004306535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052846497,0.00015055998,0.0004016833,0.00022756451,0.00008676085,0.00005637125,0.00013963795,0.00010449481,9.2752657e-7],"category_scores_gemma":[0.00043144502,0.00014639155,0.000043754153,0.00038470107,0.000044550376,0.00014385788,0.000032098276,0.00017515958,7.2731204e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020144336,0.0006348037,0.004864,0.0038265036,0.0001997436,0.0000013085287,0.0013765305,0.11922699,0.15788184,0.70605797,0.000031039985,0.0056978203],"study_design_scores_gemma":[0.0030156283,0.00024706373,0.0037385577,0.00072113273,0.00011346001,0.0000026275766,0.0002849448,0.9442724,0.024138216,0.023266658,0.00002135009,0.00017794459],"about_ca_topic_score_codex":0.0000027007125,"about_ca_topic_score_gemma":1.3201796e-7,"teacher_disagreement_score":0.8250454,"about_ca_system_score_codex":0.000049988837,"about_ca_system_score_gemma":0.00005893472,"threshold_uncertainty_score":0.59696746},"labels":[],"label_agreement":null},{"id":"W4409795104","doi":"10.61091/jcmcc127b-428","title":"Current status and bibliometric analysis of carbon emission reduction pathway research based on artificial intelligence and Web of science platforms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Web of science; Web intelligence; Computer science; Reduction (mathematics); Artificial intelligence; Data science; World Wide Web; Political science; Web service; Mathematics; MEDLINE; Web development","score_opus":0.07312378524088864,"score_gpt":0.40148547829589,"score_spread":0.32836169305500135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99623406,0.000957562,0.0003900154,0.000062491425,0.0017962988,0.00026081485,0.0000022240706,0.0000046618807,0.00029189175],"genre_scores_gemma":[0.99896663,0.00049581623,0.00040238808,0.0000017473745,0.00012251128,0.0000011237779,0.0000012194337,0.0000067956244,0.0000017457822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966136,0.00007891767,0.0009531461,0.00022735672,0.0017961888,0.00033078052],"domain_scores_gemma":[0.996302,0.0011850365,0.00051833014,0.00019953291,0.001411196,0.00038388596],"candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0046606646,0.00014585035,0.00075964245,0.023699582,0.00019802102,0.00006738276,0.00014926509,0.00009460514,0.0000029586831],"category_scores_gemma":[0.0046834485,0.00010537343,0.00009490554,0.030639572,0.0008064179,0.00007958282,0.00017413041,0.0005350891,5.218783e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032167686,0.006399017,0.025982121,0.0029753959,0.0010297147,0.000036570873,0.0013632884,0.00006653376,0.021326676,0.6984071,0.000027103179,0.23916969],"study_design_scores_gemma":[0.0068065943,0.009560647,0.015525813,0.0054039727,0.0012837508,0.000021247697,0.0014928773,0.25125822,0.06970827,0.63857764,0.00007475922,0.00028618283],"about_ca_topic_score_codex":0.000021817847,"about_ca_topic_score_gemma":1.8556875e-7,"teacher_disagreement_score":0.25119168,"about_ca_system_score_codex":0.00013084333,"about_ca_system_score_gemma":0.0011317312,"threshold_uncertainty_score":0.98996466},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W4409795105","doi":"10.61091/jcmcc127b-502","title":"Numerical Solution and Accuracy Improvement of Garment Size Matching Problem Based on Optimization Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Algorithm; Matching (statistics); Mathematical optimization; Computer science; Optimization algorithm; Mathematics; Statistics","score_opus":0.009012118570064016,"score_gpt":0.26349684952269853,"score_spread":0.2544847309526345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06698859,0.00008161064,0.92489237,0.00047404357,0.0064998884,0.00035898044,9.971625e-7,0.000035058925,0.00066846353],"genre_scores_gemma":[0.8699253,0.000016571496,0.12981907,0.000055198707,0.000167312,0.0000025123302,4.977291e-7,0.000010215647,0.0000033069794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99789447,0.00006184762,0.0009771449,0.00022764235,0.0005962342,0.00024268722],"domain_scores_gemma":[0.99725175,0.0011405569,0.0008860675,0.00020683919,0.00038284945,0.00013193602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038465,0.00022119988,0.00053744536,0.00015526114,0.00017127002,0.00026922536,0.00039152216,0.000090491674,0.0000013239917],"category_scores_gemma":[0.0002805789,0.00019070106,0.000103911334,0.00034511014,0.000049798276,0.00035043384,0.0002585644,0.00025542112,2.9223233e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012064574,0.0022096885,0.00006816689,0.00076152675,0.00015098052,0.000016140837,0.0010176249,0.0056268936,0.0010088615,0.89518297,0.000107502194,0.09372901],"study_design_scores_gemma":[0.0037728134,0.001921046,0.000055495144,0.001161062,0.00004933593,0.000011511157,0.00009146577,0.65008104,0.0026209308,0.33995685,0.00007002574,0.00020841509],"about_ca_topic_score_codex":0.0000066873786,"about_ca_topic_score_gemma":1.8883679e-8,"teacher_disagreement_score":0.80293673,"about_ca_system_score_codex":0.000082435545,"about_ca_system_score_gemma":0.0001707762,"threshold_uncertainty_score":0.7776563},"labels":[],"label_agreement":null},{"id":"W4409795107","doi":"10.61091/jcmcc127b-450","title":"Analysis of the relationship between the development of agricultural e-commerce marketing model and product quality improvement based on 5g network security","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Quality (philosophy); Agriculture; Product marketing; Business; E-commerce; Marketing; Computer science; Marketing strategy; Mathematics; Geography; World Wide Web","score_opus":0.0258650171492925,"score_gpt":0.27072865401564344,"score_spread":0.24486363686635093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949864,0.000034079843,0.0010677417,0.001460887,0.0012608762,0.000286768,0.0000014511395,0.000013747608,0.00088802516],"genre_scores_gemma":[0.9987466,8.894924e-7,0.0008245283,0.00008584666,0.00032527122,0.0000026521122,0.0000030299796,0.00000785979,0.0000033350902],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99771404,0.00008294194,0.001408973,0.00015974247,0.00044781133,0.00018646689],"domain_scores_gemma":[0.9953342,0.0017480665,0.0019893982,0.00029506098,0.0006209298,0.000012327076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045875763,0.00018893497,0.00061966694,0.00029855146,0.00058718905,0.000099312994,0.0004333728,0.00010268222,0.0000011124612],"category_scores_gemma":[0.0015848081,0.00011616492,0.00016916293,0.0017448334,0.00015469248,0.0001393319,0.0003018737,0.00047234536,9.849797e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044391014,0.00024780884,0.24057688,0.00039790326,0.00043960815,9.2932915e-8,0.0003208522,0.001403459,0.00008984282,0.7554482,0.00014134518,0.0008895866],"study_design_scores_gemma":[0.0017073117,0.000042099688,0.6714476,0.00067123055,0.0012040285,3.352658e-7,0.0008270874,0.02006079,0.00021439028,0.30355546,0.00006332249,0.00020633207],"about_ca_topic_score_codex":0.000014987608,"about_ca_topic_score_gemma":0.000005445771,"teacher_disagreement_score":0.45189276,"about_ca_system_score_codex":0.000043533393,"about_ca_system_score_gemma":0.00009051247,"threshold_uncertainty_score":0.47370678},"labels":[],"label_agreement":null},{"id":"W4409795108","doi":"10.61091/jcmcc127b-464","title":"Teaching Mode of Intelligent Service Assisted Design Course Based on Human-Computer Interaction in the Intelligent Era","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Course (navigation); Computer science; Human–computer interaction; Mode (computer interface); Service (business); Multimedia; Engineering; Business","score_opus":0.03283182265018486,"score_gpt":0.3278474790057277,"score_spread":0.29501565635554283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91951513,0.000015642658,0.07055627,0.0012385034,0.0055675027,0.00039588066,8.94984e-7,0.000009901474,0.002700257],"genre_scores_gemma":[0.99283516,0.0000026857394,0.0066141677,0.00027256244,0.00025414096,0.0000034526663,0.0000017402098,0.000010251845,0.0000058271175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979078,0.00019572051,0.0010228939,0.00015209155,0.0005484857,0.00017300477],"domain_scores_gemma":[0.99785733,0.0009971804,0.0007297323,0.00020858728,0.00016080444,0.00004636141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002132454,0.00017816592,0.0003520189,0.00018375774,0.00023436754,0.00009653317,0.00042571194,0.00008550249,0.000019777299],"category_scores_gemma":[0.00017506648,0.00012586845,0.00009288506,0.0005068897,0.000058024172,0.00015917084,0.000113345566,0.00062918593,0.0000021895114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018167599,0.0053457515,0.0017364022,0.0002051619,0.00009635495,0.0000070919396,0.005895499,0.037750985,0.0015657044,0.9287655,0.0011661714,0.017283728],"study_design_scores_gemma":[0.0031820966,0.0016260978,0.008094566,0.0017823097,0.00014040136,0.00003094883,0.0026035733,0.40808266,0.0026349,0.5699855,0.0014305586,0.00040640717],"about_ca_topic_score_codex":0.00012037207,"about_ca_topic_score_gemma":0.0000041830385,"teacher_disagreement_score":0.37033167,"about_ca_system_score_codex":0.00022340482,"about_ca_system_score_gemma":0.00009887379,"threshold_uncertainty_score":0.51327664},"labels":[],"label_agreement":null},{"id":"W4409795109","doi":"10.61091/jcmcc127b-477","title":"Research on decision optimization of network security expert system based on multi-source heterogeneous data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Data source; Data science; Data mining","score_opus":0.040346111813671585,"score_gpt":0.32397702160414055,"score_spread":0.28363090979046895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795109","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05118241,0.00036212747,0.9268291,0.00012998623,0.020525822,0.00040380255,0.0000020160062,0.00006983456,0.0004949159],"genre_scores_gemma":[0.95732975,0.00004314747,0.04162007,0.000050894527,0.00093164056,0.0000018071134,0.0000018304025,0.000018939665,0.0000019126983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99602455,0.0005654091,0.0012907573,0.00044113584,0.0012893882,0.00038878075],"domain_scores_gemma":[0.9940946,0.0027835232,0.0009300221,0.0010565802,0.0009842544,0.00015100504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005597469,0.00026191157,0.0007075209,0.0005203799,0.0005624032,0.00033255797,0.0017466288,0.00024631422,0.0000023672617],"category_scores_gemma":[0.0006635067,0.00023155917,0.00013689026,0.0011785954,0.00008855477,0.00027271753,0.0009444982,0.0007777089,0.0000013203195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005614661,0.0014330779,0.000018797176,0.00029599274,0.00008841492,0.000025012148,0.0005206304,0.35925472,0.000033482505,0.62721294,0.0014562968,0.009099166],"study_design_scores_gemma":[0.0031834072,0.0012003992,0.000005704525,0.0023058504,0.00002023339,0.000020114367,0.000101263046,0.9423343,0.00055464497,0.04938351,0.00072199234,0.00016859705],"about_ca_topic_score_codex":0.0000127486755,"about_ca_topic_score_gemma":5.692028e-7,"teacher_disagreement_score":0.90614736,"about_ca_system_score_codex":0.0001850207,"about_ca_system_score_gemma":0.00020744646,"threshold_uncertainty_score":0.94427085},"labels":[],"label_agreement":null},{"id":"W4409795111","doi":"10.61091/jcmcc127b-499","title":"Research on Intelligent Generation and Adaptation System of Civic Education Content Based on Machine Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Content (measure theory); Computer science; Artificial intelligence; Mathematics education; Psychology","score_opus":0.10150131437871633,"score_gpt":0.37692710933040985,"score_spread":0.2754257949516935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97654146,0.00026832946,0.0034984981,0.001074119,0.010370857,0.0003865488,7.969237e-7,0.000019136463,0.007840233],"genre_scores_gemma":[0.9981901,0.0000359662,0.000824583,0.000041887222,0.0008554116,0.0000031783377,0.0000018981441,0.000006684359,0.000040278057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99765134,0.00065702584,0.00070440763,0.00013871494,0.00064746715,0.00020105373],"domain_scores_gemma":[0.99651885,0.0017385158,0.00047366528,0.00008933914,0.0010581637,0.00012147197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004195894,0.00011335195,0.0003324276,0.0003361717,0.00053280155,0.0001244633,0.00014304396,0.00013166596,0.0000047153694],"category_scores_gemma":[0.0020311675,0.00009472033,0.00006318431,0.0003517283,0.00015828671,0.00006939001,0.0000399292,0.0004467529,9.643393e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008056206,0.00050767633,0.00022486715,0.00016497802,0.000015861953,5.8700215e-7,0.001999202,0.00021062804,0.00011379969,0.9905278,0.00004888381,0.0061051617],"study_design_scores_gemma":[0.004937156,0.0056258678,0.0010764655,0.004943224,0.00019829268,0.000007268341,0.057923473,0.26328912,0.0037694818,0.6528915,0.0048262104,0.0005119376],"about_ca_topic_score_codex":0.00022693537,"about_ca_topic_score_gemma":0.0000046156306,"teacher_disagreement_score":0.3376363,"about_ca_system_score_codex":0.00022660452,"about_ca_system_score_gemma":0.00052616646,"threshold_uncertainty_score":0.40979326},"labels":[],"label_agreement":null},{"id":"W4409795112","doi":"10.61091/jcmcc127b-417","title":"Deep Integration of Computerized Dynamic Visual Design and Environmental Design of Chinese Traditional Cultural Elements","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Human–computer interaction","score_opus":0.017994972469755437,"score_gpt":0.2760331416814874,"score_spread":0.25803816921173195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795112","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42334706,0.00013401089,0.5732826,0.000027523189,0.0029616319,0.00020765007,0.0000012857568,0.000009997684,0.000028231674],"genre_scores_gemma":[0.91032577,0.000044551958,0.08950657,0.000010630266,0.000096921285,0.0000017457943,0.0000033084068,0.000008756147,0.0000017662923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769,0.00016582225,0.0012106764,0.00019555,0.00054307707,0.000194845],"domain_scores_gemma":[0.9976514,0.00089851744,0.0010107002,0.00014021667,0.00018990392,0.00010924379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010130209,0.00024496834,0.0006881547,0.00019257699,0.00011662494,0.0001484685,0.00044150668,0.00009566268,0.0000016527192],"category_scores_gemma":[0.00013753535,0.0001973475,0.000108282344,0.00027240548,0.00014075583,0.0005084549,0.00025547532,0.00021067742,2.6548557e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004999723,0.0034798868,0.00045797913,0.0005494113,0.000547402,0.000024362575,0.0042469664,0.0007873374,0.04844819,0.91201776,0.00007187274,0.028868876],"study_design_scores_gemma":[0.0040140343,0.0015992067,0.00057466247,0.00043275292,0.000051819312,0.000043582495,0.00021101483,0.60913986,0.0026314524,0.38111287,0.0000073180177,0.00018140761],"about_ca_topic_score_codex":0.0000013881413,"about_ca_topic_score_gemma":2.623609e-8,"teacher_disagreement_score":0.60835254,"about_ca_system_score_codex":0.000058854843,"about_ca_system_score_gemma":0.00009393008,"threshold_uncertainty_score":0.80475974},"labels":[],"label_agreement":null},{"id":"W4409795114","doi":"10.61091/jcmcc127b-496","title":"Blockchain-based Decision Tree Optimization and Data Encryption Algorithm Design for Unmanned Equipment Environment Sensing System","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Encryption; Computer science; Decision tree; Tree (set theory); Blockchain; Optimization algorithm; Real-time computing; Embedded system; Computer engineering; Computer hardware; Algorithm; Data mining; Computer security; Mathematical optimization; Mathematics","score_opus":0.024678621731938268,"score_gpt":0.2566302006123744,"score_spread":0.23195157888043613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795114","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07318398,0.00013048507,0.9210496,0.000593855,0.004318622,0.00055791804,0.0000025156205,0.000060817718,0.00010221161],"genre_scores_gemma":[0.7997463,0.000008320801,0.19925585,0.000089909765,0.00085661653,0.0000031111306,0.000013376378,0.000024914214,0.0000016344098],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981449,0.000029042158,0.0009630574,0.00028071276,0.00034230197,0.0002399547],"domain_scores_gemma":[0.9975258,0.00071950344,0.0009894005,0.0003396563,0.00040242219,0.000023213272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022396997,0.00024083572,0.0005100239,0.0005169655,0.0005069522,0.00032662522,0.00037343556,0.00018083151,0.0000014603532],"category_scores_gemma":[0.0003823991,0.0002255574,0.0000651904,0.000377165,0.00008780799,0.00020485153,0.00040651677,0.00022724445,8.228761e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021380349,0.00054600195,0.00013876047,0.00086880126,0.00021754164,0.000013193452,0.00008367175,0.015164421,0.0003584289,0.9267789,0.0007733726,0.054843094],"study_design_scores_gemma":[0.0041741156,0.00011188771,0.000020982978,0.00075340224,0.0002388077,0.000007925572,0.00037458932,0.83832395,0.00014523587,0.15519783,0.0004638837,0.00018737577],"about_ca_topic_score_codex":0.000011709608,"about_ca_topic_score_gemma":3.8244224e-7,"teacher_disagreement_score":0.8231595,"about_ca_system_score_codex":0.00010316028,"about_ca_system_score_gemma":0.00006535366,"threshold_uncertainty_score":0.9197964},"labels":[],"label_agreement":null},{"id":"W4409795115","doi":"10.61091/jcmcc127b-457","title":"Artistic Intelligence-based Remote Storage System for Artistic Painting Resources","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Painting; Visual arts; Art; Computer science","score_opus":0.017825498651885277,"score_gpt":0.2746621564428647,"score_spread":0.2568366577909794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795115","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.088936806,0.00025159286,0.8908114,0.00021413338,0.018357579,0.0003736994,0.0000018602211,0.00010525136,0.00094769435],"genre_scores_gemma":[0.9532254,0.0000038590447,0.046006963,0.000037724916,0.0006868661,0.0000028269683,6.9413096e-7,0.000021143378,0.00001452308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970783,0.00012477626,0.0014193263,0.00033191312,0.00059197005,0.00045369117],"domain_scores_gemma":[0.99508697,0.0025341655,0.0010564498,0.00037558598,0.0007287468,0.00021807571],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023802104,0.00031638044,0.0008161702,0.0002948539,0.00039290448,0.0007587357,0.0009631615,0.00014263453,7.4465044e-7],"category_scores_gemma":[0.0012673724,0.0002827928,0.0002372448,0.0005725317,0.000094650626,0.0002934557,0.00031490542,0.00034908683,0.0000025564916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006424435,0.00024850768,0.000024981011,0.0010093398,0.00008419653,0.000035164005,0.00044762547,0.00017409299,0.00012973616,0.97577226,0.00012072706,0.021889137],"study_design_scores_gemma":[0.002153815,0.00092285837,0.000028370056,0.0028357315,0.00010841636,0.000043883963,0.00045816696,0.40488273,0.0016557608,0.5854038,0.0011806854,0.00032578316],"about_ca_topic_score_codex":0.000004529184,"about_ca_topic_score_gemma":1.4499366e-7,"teacher_disagreement_score":0.86428857,"about_ca_system_score_codex":0.0001564231,"about_ca_system_score_gemma":0.0002482106,"threshold_uncertainty_score":0.99996245},"labels":[],"label_agreement":null},{"id":"W4409795116","doi":"10.61091/jcmcc127b-377","title":"A graph neural network-based topology identification and reconfiguration method for electrical and electronic power distribution systems in a big data environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control reconfiguration; Topology (electrical circuits); Computer science; Artificial neural network; Graph; Identification (biology); Distributed computing; Artificial intelligence; Embedded system; Theoretical computer science; Electrical engineering; Engineering","score_opus":0.014484949945285519,"score_gpt":0.2510772232495404,"score_spread":0.2365922733042549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795116","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38466674,0.0053619724,0.599755,0.00018827704,0.0092971,0.0006375304,0.000010425342,0.000057743582,0.00002523328],"genre_scores_gemma":[0.99859464,0.00013969089,0.0010150609,0.000004464651,0.00021411938,0.000008741851,0.000010244578,0.000012054479,0.000001001354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856853,0.00008169822,0.00076698227,0.00018468192,0.00013641766,0.00026168686],"domain_scores_gemma":[0.9988564,0.00053351553,0.00030854618,0.0001963827,0.00006815444,0.000036987494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016086297,0.00016098024,0.00046175666,0.00016156916,0.000107293425,0.00014068074,0.00018372232,0.0001709855,1.7248509e-7],"category_scores_gemma":[0.00020087774,0.0001524014,0.000035619338,0.00020172003,0.000038535127,0.00010644122,0.00007656672,0.00028477347,4.8941935e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011262356,0.00016031828,0.0003890142,0.0005118967,0.00015347103,0.000004152389,0.00013097227,0.003060335,0.001465742,0.9768163,0.0005078055,0.016687386],"study_design_scores_gemma":[0.0033774362,0.0004729288,0.0005121341,0.000268856,0.00010178125,0.000045997687,0.00012408395,0.71161103,0.00031594152,0.28089428,0.0020544569,0.00022104234],"about_ca_topic_score_codex":0.000010361343,"about_ca_topic_score_gemma":0.0000014170212,"teacher_disagreement_score":0.70855075,"about_ca_system_score_codex":0.000106693515,"about_ca_system_score_gemma":0.00004417888,"threshold_uncertainty_score":0.6214748},"labels":[],"label_agreement":null},{"id":"W4409795117","doi":"10.61091/jcmcc127b-459","title":"Design and development of a student education management system based on big data network","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Big data; Data science; Data management; Computer science; Engineering management; Knowledge management; Mathematics education; Engineering; Psychology; Database; Data mining","score_opus":0.05133858040024352,"score_gpt":0.31974656409188346,"score_spread":0.26840798369163993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795117","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044999465,0.00048411216,0.933251,0.00027421463,0.019793866,0.00039047742,3.4076362e-7,0.000036670237,0.0007698141],"genre_scores_gemma":[0.7648633,0.000012554652,0.23478094,0.00003335746,0.0002944669,0.000003449313,0.0000010380888,0.0000063048597,0.0000045922147],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998166,0.00013070514,0.00086554,0.00024434878,0.00041293172,0.00018044803],"domain_scores_gemma":[0.9976817,0.0007111242,0.0007328172,0.0005075804,0.00029831275,0.000068486595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023848673,0.00017095383,0.00042271032,0.00028968125,0.00024775323,0.0001152379,0.0010642168,0.00010362242,3.474303e-7],"category_scores_gemma":[0.00006561326,0.0001542328,0.00003068802,0.00035985693,0.00004851811,0.00010947437,0.00061572826,0.0002263173,4.861223e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033206987,0.0006689562,0.00020723464,0.00038091087,0.00011241228,0.0000031613567,0.0004669516,0.00028166227,0.000012259032,0.9545889,0.0003025489,0.042941827],"study_design_scores_gemma":[0.0076123867,0.0011999035,0.003407854,0.0062041115,0.00027825942,0.000069948626,0.0021954456,0.1465124,0.0008634155,0.82574177,0.0052221417,0.000692356],"about_ca_topic_score_codex":0.0000010211139,"about_ca_topic_score_gemma":7.92964e-8,"teacher_disagreement_score":0.71986383,"about_ca_system_score_codex":0.000085395586,"about_ca_system_score_gemma":0.0007590955,"threshold_uncertainty_score":0.6289431},"labels":[],"label_agreement":null},{"id":"W4409795118","doi":"10.61091/jcmcc127b-489","title":"Natural Disaster Public Opinion Risk Management Based on Fuzzy Theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Natural disaster; Fuzzy logic; Public opinion; Risk management; Emergency management; Business; Risk analysis (engineering); Computer science; Environmental planning; Environmental science; Political science; Geography; Artificial intelligence; Law; Finance","score_opus":0.01449252816278904,"score_gpt":0.2973966271556778,"score_spread":0.2829040989928887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795118","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28699067,0.002467039,0.04900053,0.008048553,0.08891809,0.0016864341,0.000005878101,0.0002196677,0.56266314],"genre_scores_gemma":[0.9962331,0.00023174913,0.0027509343,0.00008438473,0.000618695,0.0000033886797,0.0000020187292,0.000013163028,0.000062531326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973153,0.0007225404,0.00077998213,0.0001711643,0.0007150997,0.00029590697],"domain_scores_gemma":[0.99667823,0.0015000736,0.00084694126,0.00035635973,0.0004871853,0.00013120289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050503216,0.00018539312,0.0003862946,0.00040777636,0.001053544,0.000506709,0.0006453473,0.00014251286,0.000010337407],"category_scores_gemma":[0.0010372096,0.00016167748,0.00017566602,0.000603047,0.00016208073,0.0002868628,0.00018566033,0.00056247134,0.0000026657426],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058992715,0.00043347944,0.00024519244,0.000045094766,0.00009090387,0.0000013561427,0.0013034976,0.000028955754,0.000002038111,0.9831657,0.00050506624,0.014119768],"study_design_scores_gemma":[0.0026260184,0.0001656115,0.0003894389,0.00036842554,0.0000827617,0.0000012871438,0.0033281515,0.004854822,0.0000058997152,0.9617522,0.026246795,0.00017860258],"about_ca_topic_score_codex":0.000013277724,"about_ca_topic_score_gemma":0.0000012034446,"teacher_disagreement_score":0.70924246,"about_ca_system_score_codex":0.00018905722,"about_ca_system_score_gemma":0.00021083004,"threshold_uncertainty_score":0.8103115},"labels":[],"label_agreement":null},{"id":"W4409795120","doi":"10.61091/jcmcc127b-444","title":"Eco-environmental landscape characterization data based on artificial intelligence and neural network algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Characterization (materials science); Computer science; Artificial intelligence; Nanotechnology; Materials science","score_opus":0.021446224528085003,"score_gpt":0.2356769289799303,"score_spread":0.2142307044518453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729582,0.00025229796,0.011646821,0.0003382373,0.013995485,0.00019592338,0.000023114151,0.000024843159,0.0005650991],"genre_scores_gemma":[0.996259,0.000057730085,0.002311462,0.000084304294,0.0012294269,3.6693493e-8,0.000048884845,0.000006192017,0.0000030108497],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984498,0.00010881572,0.00063652254,0.0002278369,0.00034063088,0.00023641947],"domain_scores_gemma":[0.99858344,0.0005856052,0.00042244632,0.00024099434,0.000049169204,0.00011832291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010519036,0.00019106333,0.00039714455,0.00012366651,0.00030245676,0.00027339873,0.00029315305,0.00010373605,0.000018751703],"category_scores_gemma":[0.00013940454,0.00015335859,0.000048983995,0.00018733501,0.000067446184,0.00016849156,0.00007168051,0.00031923832,0.0000017100384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000921215,0.00079609366,0.030586515,0.00028308056,0.00020861332,0.000104626415,0.00064324064,0.018636707,0.00014629382,0.053017274,0.00038288053,0.89427346],"study_design_scores_gemma":[0.000625831,0.000448175,0.007694792,0.00020510891,0.000061136976,0.00002512694,0.00009728658,0.9120417,0.00003347319,0.07830707,0.00029572714,0.0001645743],"about_ca_topic_score_codex":0.000011881252,"about_ca_topic_score_gemma":0.0000016600538,"teacher_disagreement_score":0.8941089,"about_ca_system_score_codex":0.000007417244,"about_ca_system_score_gemma":0.00005545878,"threshold_uncertainty_score":0.6253782},"labels":[],"label_agreement":null},{"id":"W4409795121","doi":"10.61091/jcmcc127b-416","title":"Study on collaborative spectrum sensing of multi-satellite low orbit satellites based on multi-satellite collaborative beamforming and intelligent algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Satellite Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Satellite; Low earth orbit; Computer science; Remote sensing; Algorithm; Beamforming; Aerospace engineering; Telecommunications; Geography; Engineering","score_opus":0.021772120085611576,"score_gpt":0.2861879012487098,"score_spread":0.2644157811630982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95073473,0.008874608,0.021903098,0.00011086044,0.014287582,0.002641129,0.000026481335,0.0001929913,0.0012284906],"genre_scores_gemma":[0.98020244,0.0010483253,0.0183591,0.00002383843,0.00026968188,0.000005162088,0.0000035481723,0.000078673926,0.000009257046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99573547,0.00043874182,0.0022178763,0.00038087837,0.00077888573,0.00044814535],"domain_scores_gemma":[0.9942697,0.0026235816,0.0011799952,0.00061290443,0.0010994402,0.00021434561],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022691083,0.0006364049,0.0015142481,0.00081108947,0.00030321325,0.00031511474,0.00048515337,0.00025192596,0.0000017266349],"category_scores_gemma":[0.00057384797,0.00059013977,0.00016935238,0.0013156155,0.00017721648,0.00019959931,0.00019322259,0.0008055243,0.000002671414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048382827,0.030891022,0.017527135,0.0117633315,0.00917223,0.00072768255,0.1948087,0.062143676,0.040194035,0.39623922,0.0001217976,0.23157287],"study_design_scores_gemma":[0.03570114,0.008254288,0.0026978832,0.014055265,0.0008267346,0.00008264318,0.049633097,0.6809029,0.16595064,0.035953406,0.003102742,0.00283926],"about_ca_topic_score_codex":0.0000073891824,"about_ca_topic_score_gemma":0.0000023221082,"teacher_disagreement_score":0.6187592,"about_ca_system_score_codex":0.00028737602,"about_ca_system_score_gemma":0.000204331,"threshold_uncertainty_score":0.999655},"labels":[],"label_agreement":null},{"id":"W4409795122","doi":"10.61091/jcmcc127b-387","title":"Integration of College English Teaching Resources Based on Divide and Conquer Algorithm in the Era of Digital Transformation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Divide and conquer algorithms; Transformation (genetics); Computer science; Mathematics education; Digital transformation; Digital divide; Algorithm; Mathematics; World Wide Web; The Internet","score_opus":0.011194958569901766,"score_gpt":0.2705678955590029,"score_spread":0.25937293698910113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89935166,0.00014239055,0.094001725,0.001313583,0.003431057,0.00025425706,0.0000052088258,0.000015958669,0.0014841594],"genre_scores_gemma":[0.9932122,0.000009548525,0.0066050575,0.00003465961,0.00013080794,0.000001507641,9.699305e-7,0.0000040068994,0.0000012479962],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984452,0.00015298778,0.0008140703,0.000113540096,0.00035719975,0.00011697907],"domain_scores_gemma":[0.99700654,0.0018666018,0.0005982828,0.00017535116,0.00032548181,0.000027771848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019673689,0.00012946846,0.0003782492,0.00027489156,0.0001282288,0.00009961103,0.00046354625,0.0001169486,4.2188864e-7],"category_scores_gemma":[0.00069819926,0.00009701458,0.00006618205,0.00032151438,0.000099610486,0.000307019,0.00006722805,0.00055411586,4.9814403e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002991998,0.0003941362,0.00022511253,0.00008458374,0.000019588633,0.000001489727,0.007404561,0.000025714964,0.000072705196,0.97310805,0.000035222252,0.018598925],"study_design_scores_gemma":[0.003045649,0.00084675604,0.001472898,0.00096346275,0.000035862085,0.000015779859,0.0027077387,0.052515734,0.0011288809,0.9367158,0.000412291,0.00013914076],"about_ca_topic_score_codex":0.0000064721366,"about_ca_topic_score_gemma":3.7894515e-7,"teacher_disagreement_score":0.09386053,"about_ca_system_score_codex":0.000028709814,"about_ca_system_score_gemma":0.00012866175,"threshold_uncertainty_score":0.39561397},"labels":[],"label_agreement":null},{"id":"W4409795123","doi":"10.61091/jcmcc127b-376","title":"Design of real-time data acquisition and regulation algorithm of air-conditioning equipment for grid supply-demand interaction","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grid; Air conditioning; Computer science; Supply and demand; Data acquisition; Real-time computing; Industrial engineering; Engineering; Economics; Microeconomics; Mechanical engineering; Mathematics; Operating system","score_opus":0.014647951595922342,"score_gpt":0.25929872478352056,"score_spread":0.24465077318759823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795123","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3210127,0.0006247118,0.63095015,0.000048405655,0.046069406,0.00084833906,0.000044857556,0.000054767937,0.00034664958],"genre_scores_gemma":[0.9807614,0.000087326145,0.017502168,0.0000024124001,0.001589927,0.0000028072343,0.000027106516,0.000022234632,0.000004620902],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832654,0.00007288299,0.001064963,0.00013253234,0.00025762466,0.00014547056],"domain_scores_gemma":[0.9978726,0.0008367202,0.00068624166,0.00020793016,0.0003433185,0.00005321334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015443662,0.00016730843,0.0005955008,0.00021771538,0.00009789652,0.00005319226,0.00019253026,0.00011212252,0.000003143691],"category_scores_gemma":[0.00010177825,0.00016429386,0.000061812396,0.00015773643,0.000039300754,0.00028136093,0.00010518087,0.00013079273,1.710514e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017381384,0.0022562647,0.00086937455,0.015342263,0.003925704,0.000018772458,0.009735626,0.0507198,0.2072729,0.64655614,0.040178478,0.02138655],"study_design_scores_gemma":[0.0069840048,0.0010035903,0.0003129487,0.0033965085,0.00040644815,0.00006001543,0.00047622624,0.84289724,0.02340843,0.12014523,0.0005620744,0.00034727794],"about_ca_topic_score_codex":0.0000063281914,"about_ca_topic_score_gemma":6.176828e-8,"teacher_disagreement_score":0.79217744,"about_ca_system_score_codex":0.00005869289,"about_ca_system_score_gemma":0.000055964632,"threshold_uncertainty_score":0.6699709},"labels":[],"label_agreement":null},{"id":"W4409795124","doi":"10.61091/jcmcc127b-447","title":"Research on Data Security Protection Strategies in Cloud Computing Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer security; Cloud computing security; Computer science; Data security; Data Protection Act 1998; Encryption; Operating system","score_opus":0.05686479597917464,"score_gpt":0.3372799303488471,"score_spread":0.28041513436967247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63211477,0.0006051202,0.33453876,0.0025009061,0.026089536,0.0012684868,0.000011987036,0.00011787058,0.0027525728],"genre_scores_gemma":[0.9925804,0.000043031592,0.006513731,0.00002366411,0.0008164988,0.000002253563,0.0000031939164,0.000014848625,0.0000023770788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99585724,0.0005696041,0.0013205599,0.00054832775,0.0011604943,0.0005437479],"domain_scores_gemma":[0.9961881,0.0014841576,0.00065016263,0.0011716781,0.0003610292,0.00014484482],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0076414975,0.00028080336,0.00065585715,0.0007434519,0.00054431986,0.00081276975,0.0023997645,0.00020906804,0.0000020678099],"category_scores_gemma":[0.0007077119,0.00027501668,0.00008615098,0.0011467702,0.00016438334,0.00073041656,0.0025889506,0.0016026519,0.0000051214492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041510004,0.0009253315,0.000035465164,0.00014339705,0.000044474134,0.000027855673,0.0013592645,0.00037568714,0.00009139044,0.9946361,0.00048584287,0.001833647],"study_design_scores_gemma":[0.002535288,0.00054023956,0.000149763,0.0007435442,0.000018405424,0.00003529587,0.0011324092,0.15967347,0.00017336196,0.8331256,0.001646842,0.0002258126],"about_ca_topic_score_codex":0.00006654274,"about_ca_topic_score_gemma":0.000003990426,"teacher_disagreement_score":0.36046565,"about_ca_system_score_codex":0.00033385053,"about_ca_system_score_gemma":0.00044815944,"threshold_uncertainty_score":0.9999702},"labels":[],"label_agreement":null},{"id":"W4409795125","doi":"10.61091/jcmcc127b-394","title":"Research on Structural Variation Detection Methods of Wheat Genome Based on Deep Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Variation (astronomy); Structural variation; Genome; Artificial intelligence; Computational biology; Biology; Computer science; Evolutionary biology; Genetics; Gene; Physics","score_opus":0.014290187179429053,"score_gpt":0.3456524033010899,"score_spread":0.3313622161216609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8788871,0.0001290408,0.11220879,0.00007124127,0.0055943457,0.00027899648,9.1296147e-7,0.000013829629,0.0028156987],"genre_scores_gemma":[0.98397326,0.000014141631,0.015395182,0.000024815512,0.00055446837,0.0000015669881,0.0000037600778,0.00002087931,0.000011915878],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974885,0.00061601464,0.0008857333,0.0001866348,0.00056784804,0.0002552954],"domain_scores_gemma":[0.997286,0.00081908226,0.0007848755,0.00026005317,0.00076863973,0.00008129914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004207207,0.00020583594,0.00044871116,0.0004251241,0.00032180062,0.000095194344,0.00030614267,0.00024402702,0.000003908672],"category_scores_gemma":[0.0019036161,0.00018320272,0.00014291453,0.00038026844,0.00008473071,0.000012003292,0.00015779228,0.00082833733,6.4511113e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029823375,0.0011713271,0.00086743286,0.0017351176,0.0006282843,0.000008893918,0.002162707,0.083787486,0.27576482,0.5893896,0.000080839585,0.04142112],"study_design_scores_gemma":[0.011934687,0.014307399,0.0044972473,0.0011355666,0.00021873646,0.00004457538,0.000989277,0.64467335,0.10976545,0.20889843,0.002790057,0.0007452461],"about_ca_topic_score_codex":0.0000054221236,"about_ca_topic_score_gemma":2.815903e-7,"teacher_disagreement_score":0.56088585,"about_ca_system_score_codex":0.00007890031,"about_ca_system_score_gemma":0.0001236746,"threshold_uncertainty_score":0.747079},"labels":[],"label_agreement":null},{"id":"W4409795126","doi":"10.61091/jcmcc127b-491","title":"Study on the coupling mechanism of karst groundwater flow path to the change of hydrochemical composition in earthquake region","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Karst; Groundwater; Geology; Groundwater flow; Mechanism (biology); Hydrology (agriculture); Flow (mathematics); Path (computing); Composition (language); Geotechnical engineering; Aquifer; Mechanics; Paleontology; Physics; Computer science","score_opus":0.019864311728076827,"score_gpt":0.23902878820535997,"score_spread":0.21916447647728315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990756,0.0000466998,0.0045155613,0.00026670675,0.0038900303,0.00041610774,4.0952102e-7,0.000017829629,0.000090677124],"genre_scores_gemma":[0.99947906,0.0000098006485,0.00030983664,0.000019167039,0.00016360582,0.0000061039,2.2769724e-7,0.000011601616,5.8167814e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986133,0.000045195273,0.0007216276,0.00010920535,0.0003244902,0.0001861827],"domain_scores_gemma":[0.9988741,0.00043850287,0.00027288042,0.00022867885,0.00015229375,0.0000335178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012360387,0.00015252433,0.00045295546,0.00022309323,0.000097411576,0.000034580506,0.000409076,0.00009888027,6.0525645e-7],"category_scores_gemma":[0.000137767,0.000100188256,0.00007231973,0.00043660367,0.000053702865,0.000053905474,0.00014669825,0.00037179174,4.0090572e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001255923,0.001424023,0.0011561853,0.0002781871,0.00012238344,0.000024560819,0.010343846,0.0023009963,0.0076529477,0.9754503,0.00015125627,0.0009697347],"study_design_scores_gemma":[0.007850278,0.005305115,0.0029236162,0.0044685956,0.0002547484,0.00007757936,0.009222507,0.24530615,0.04373222,0.6801362,0.00012080377,0.0006022006],"about_ca_topic_score_codex":0.000007278397,"about_ca_topic_score_gemma":9.2629455e-7,"teacher_disagreement_score":0.2953141,"about_ca_system_score_codex":0.000044314584,"about_ca_system_score_gemma":0.000023935203,"threshold_uncertainty_score":0.40855587},"labels":[],"label_agreement":null},{"id":"W4409795127","doi":"10.61091/jcmcc127b-434","title":"Research on treadmill design based on AHP and mass function expansion","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Function (biology); Environmental science; Computer science; Engineering; Operations research; Biology","score_opus":0.032011821309020055,"score_gpt":0.27943692328622743,"score_spread":0.24742510197720738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82715285,0.0009891265,0.1079305,0.00060531095,0.05138954,0.0012359833,0.0000028182262,0.0003300936,0.010363801],"genre_scores_gemma":[0.9986582,0.000025004598,0.00050739205,0.000024419369,0.0007424732,0.000005128792,4.2659954e-7,0.000026321999,0.000010668558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980163,0.0002492651,0.00071064656,0.00018325528,0.00051888544,0.0003216331],"domain_scores_gemma":[0.99741346,0.0017371037,0.00020932469,0.00022909645,0.000309677,0.00010132844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029837813,0.00024003682,0.00057394296,0.0006218291,0.00032656456,0.00013967192,0.00022095631,0.00039251067,0.0000025399652],"category_scores_gemma":[0.00036250675,0.00020860232,0.00008323155,0.0004536959,0.00007952091,0.000078798126,0.000043561067,0.0010397445,0.00000245803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010282617,0.0004156577,0.000058737853,0.0002951563,0.00019549734,0.000032799497,0.00018577474,0.009063992,0.0034225201,0.97260076,0.0020123816,0.010688447],"study_design_scores_gemma":[0.0109671205,0.0050746193,0.00007076093,0.0019861576,0.00012885501,0.000016022408,0.00055182626,0.3017484,0.005649443,0.67178124,0.0016488702,0.00037669318],"about_ca_topic_score_codex":0.0000023050416,"about_ca_topic_score_gemma":7.767524e-8,"teacher_disagreement_score":0.30081955,"about_ca_system_score_codex":0.00014146764,"about_ca_system_score_gemma":0.000097718184,"threshold_uncertainty_score":0.85065556},"labels":[],"label_agreement":null},{"id":"W4409795128","doi":"10.61091/jcmcc127b-497","title":"AI-enabled enhancement of emotional regulation and musical expression in the art of music conducting","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Musical; Musical expression; Expression (computer science); Emotional expression; Psychology; Art; Communication; Aesthetics; Cognitive psychology; Visual arts; Computer science","score_opus":0.04064160982510315,"score_gpt":0.29726172643001386,"score_spread":0.2566201166049107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927608,0.000017780601,0.0022923267,0.00027316026,0.0039695185,0.00021819616,6.028165e-7,0.000004160467,0.00046345493],"genre_scores_gemma":[0.9991257,0.000017986895,0.0005274903,0.00011168044,0.000204069,0.0000012265606,2.6960763e-7,0.0000054965826,0.0000060832917],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979732,0.00019916764,0.00090586004,0.00018208487,0.0005808126,0.00015885184],"domain_scores_gemma":[0.9981072,0.00073783135,0.0007775212,0.00014918462,0.00019017201,0.000038086404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015597426,0.00013010908,0.00040441117,0.00022422097,0.00015203243,0.00006258859,0.00024119185,0.00007291062,0.000007291442],"category_scores_gemma":[0.0009704923,0.00009602547,0.00007122407,0.0004303404,0.00020845752,0.00022729968,0.00013901334,0.00028756604,2.0474909e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061837934,0.0004328806,0.00005429607,0.00015829114,0.0000035181133,0.0000030153624,0.0016821608,0.000021243346,0.7188424,0.27787527,0.00017056409,0.0006945577],"study_design_scores_gemma":[0.0051432815,0.0008956873,0.0021169062,0.0018217952,0.000061129875,0.00007595768,0.0012286968,0.006651996,0.33061588,0.6508524,0.00032868813,0.00020758415],"about_ca_topic_score_codex":0.0000021268463,"about_ca_topic_score_gemma":1.812673e-7,"teacher_disagreement_score":0.38822648,"about_ca_system_score_codex":0.000028363438,"about_ca_system_score_gemma":0.000092343405,"threshold_uncertainty_score":0.39158052},"labels":[],"label_agreement":null},{"id":"W4409795129","doi":"10.61091/jcmcc127b-478","title":"Performance assessment and optimization strategy of new energy distribution network fault self-healing system based on Monte Carlo simulation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Monte Carlo method; Computer science; Fault (geology); Reliability engineering; Engineering; Mathematics; Statistics","score_opus":0.008197228972409423,"score_gpt":0.23606246412428786,"score_spread":0.22786523515187843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5933627,0.00042855507,0.3973109,0.000017586211,0.008072159,0.00020798479,0.0000029643857,0.00016352416,0.0004336149],"genre_scores_gemma":[0.99535054,0.000048417558,0.0042518815,0.0000019406214,0.00032727057,0.0000012345616,0.0000015118051,0.000016040794,0.0000011629639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985144,0.00004312293,0.00084048975,0.00011344541,0.0003013942,0.00018713139],"domain_scores_gemma":[0.99875176,0.0002995934,0.00049280806,0.00014422026,0.0002470917,0.00006453529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006102645,0.00019495585,0.0005216349,0.00012849369,0.00013772711,0.000094811905,0.00013423673,0.00016995186,3.1861313e-7],"category_scores_gemma":[0.000044185654,0.00018016083,0.00006359741,0.00028017155,0.000019847637,0.000118993485,0.000047407622,0.00022377817,3.3056267e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002259282,0.00005443345,0.00020747086,0.0005415372,0.000064473505,0.0000015115867,0.000051185918,0.88549805,0.000012214269,0.11196422,0.000056275567,0.001526043],"study_design_scores_gemma":[0.0017639165,0.00032374987,0.00017357717,0.0013151388,0.00007416026,0.000004272165,0.00013742148,0.9918667,0.000121541154,0.00398889,0.000096526484,0.000134108],"about_ca_topic_score_codex":0.0000122655965,"about_ca_topic_score_gemma":1.8678803e-7,"teacher_disagreement_score":0.40198785,"about_ca_system_score_codex":0.00019325718,"about_ca_system_score_gemma":0.00010729743,"threshold_uncertainty_score":0.7346746},"labels":[],"label_agreement":null},{"id":"W4409795130","doi":"10.61091/jcmcc127b-425","title":"Research on micro-morphological feature recognition method of traditional Chinese medicinal herbs based on deep convolutional neural network","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Traditional Chinese Medicine Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Middle-aged and Young Teachers' Basic Ability Promotion Project of Guangxi","keywords":"Convolutional neural network; Medicinal herbs; Artificial intelligence; Pattern recognition (psychology); Feature (linguistics); Computer science; Chinese herbs; Traditional medicine; Medicine; Traditional Chinese medicine; Linguistics","score_opus":0.056341034536394934,"score_gpt":0.35594786893847147,"score_spread":0.2996068344020765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96285945,0.0008619471,0.0067497953,0.006039086,0.01653161,0.0008193471,0.000025314845,0.000047405607,0.0060660527],"genre_scores_gemma":[0.97780627,0.00001751129,0.016936896,0.0003859512,0.004780379,0.0000067427436,0.000029267529,0.000026451773,0.000010507143],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957826,0.00049226906,0.0011703809,0.00032893414,0.0018094982,0.00041629773],"domain_scores_gemma":[0.98992735,0.007329694,0.0006853851,0.00022772157,0.0015998671,0.00022998388],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0040912568,0.0003682616,0.0012823527,0.0006468758,0.000402802,0.000040637162,0.00025621575,0.00026664668,0.000032469787],"category_scores_gemma":[0.0025127067,0.00026422914,0.0003285116,0.0009975666,0.00038848774,0.000069867536,0.0000842292,0.0017691932,0.0000019582822],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010653949,0.008745385,0.004997457,0.0019309736,0.0011076553,0.00061295996,0.0006256143,0.003273784,0.002419762,0.939369,0.020907259,0.0053561754],"study_design_scores_gemma":[0.021074899,0.011000891,0.033630848,0.004779097,0.0004371719,0.00087083323,0.00039481695,0.033323776,0.00038539444,0.893405,0.00033527546,0.00036196152],"about_ca_topic_score_codex":0.0000042804236,"about_ca_topic_score_gemma":2.8785652e-7,"teacher_disagreement_score":0.04596399,"about_ca_system_score_codex":0.00021248402,"about_ca_system_score_gemma":0.00038098372,"threshold_uncertainty_score":0.999981},"labels":[],"label_agreement":null},{"id":"W4409795131","doi":"10.61091/jcmcc127b-412","title":"Green Building Performance Prediction and Evaluation System under BIM – based Digital Construction Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Green building; Building information modeling; Architectural engineering; Construction engineering; Computer science; Systems engineering; Engineering; Operations management","score_opus":0.007209567207767159,"score_gpt":0.21998470863231998,"score_spread":0.2127751414245528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9166466,0.00033781645,0.06954342,0.00006594056,0.012224601,0.00020419665,0.000002228733,0.00012587011,0.0008493268],"genre_scores_gemma":[0.99662864,0.00001754416,0.0029663418,0.0000033496892,0.00036347142,0.0000035667865,0.0000014785894,0.000014494849,0.000001092149],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986741,0.000030701613,0.0006865214,0.00012530203,0.00033358438,0.00014979688],"domain_scores_gemma":[0.9989105,0.0001293363,0.00029552684,0.00011050399,0.00049895997,0.000055182583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063683453,0.00017542474,0.00033607084,0.00045451956,0.00020358444,0.000203422,0.00010350287,0.00019447463,0.000001624084],"category_scores_gemma":[0.000069639784,0.00016812759,0.00005210951,0.0004037159,0.000092346214,0.0003328311,0.00003912702,0.00031053083,3.6141958e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002989957,0.00004120601,0.0014250457,0.000476888,0.000100166435,9.135096e-7,0.000065492924,0.0020107224,0.0007375879,0.9493518,0.000020329964,0.04573998],"study_design_scores_gemma":[0.0032294898,0.00023151742,0.00038226292,0.0010225672,0.00017836485,0.00017998199,0.00086923456,0.7083191,0.002093092,0.28312227,0.00018682414,0.0001852756],"about_ca_topic_score_codex":0.0000013122326,"about_ca_topic_score_gemma":9.4400804e-8,"teacher_disagreement_score":0.70630836,"about_ca_system_score_codex":0.00019500633,"about_ca_system_score_gemma":0.000095697054,"threshold_uncertainty_score":0.6856044},"labels":[],"label_agreement":null},{"id":"W4409795133","doi":"10.61091/jcmcc127b-456","title":"A study of factors influencing digital ethical literacy among elementary and secondary pre-service teachers: a structural equation modeling analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Division of Graduate Education; Guangxi Normal University","keywords":"Structural equation modeling; Mathematics education; Literacy; Psychology; Service (business); Pedagogy; Mathematics; Business; Statistics","score_opus":0.02129203463453843,"score_gpt":0.31860637375565004,"score_spread":0.2973143391211116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9467093,0.000079270736,0.05075913,0.0001121977,0.002067469,0.00020238078,9.775767e-7,0.000023885626,0.000045405683],"genre_scores_gemma":[0.9964056,0.000001955344,0.0034385992,0.000028593286,0.00011028346,0.0000014255548,0.0000022728823,0.000008378831,0.0000028923425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976121,0.00019382512,0.0012798781,0.00024015324,0.0004883476,0.00018568753],"domain_scores_gemma":[0.9973171,0.0006550676,0.0009740646,0.00025362414,0.0006859125,0.000114228336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011721425,0.00020630383,0.00060765055,0.00057164195,0.00026840298,0.00064534653,0.00048247233,0.000134368,0.0000032733506],"category_scores_gemma":[0.0004460958,0.0001849465,0.00016829329,0.00097065314,0.00003787852,0.0007602713,0.00038342836,0.0008102872,9.6335995e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009304877,0.0021617152,0.31976834,0.00062187907,0.0032447581,0.000011922565,0.29059577,0.009006583,0.00010216574,0.36825874,0.000026135358,0.006108952],"study_design_scores_gemma":[0.0045428537,0.0010334271,0.039050642,0.00065826176,0.00075957575,0.000011932952,0.023099544,0.7538733,0.000041415897,0.17656538,0.000016064161,0.0003476243],"about_ca_topic_score_codex":0.000119028075,"about_ca_topic_score_gemma":0.0000060929815,"teacher_disagreement_score":0.74486667,"about_ca_system_score_codex":0.00007254564,"about_ca_system_score_gemma":0.00015534877,"threshold_uncertainty_score":0.7541899},"labels":[],"label_agreement":null},{"id":"W4409795134","doi":"10.61091/jcmcc127b-405","title":"Risk Early Warning of Enterprise Financial Management Risk Based on CNN and BiLSTM under Accounting Informatization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Dongbei University of Finance and Economics","keywords":"Informatization; Business; Warning system; Risk management; Accounting; Enterprise risk management; Risk analysis (engineering); Finance; Computer science","score_opus":0.01813790841181065,"score_gpt":0.29270849560465156,"score_spread":0.2745705871928409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9132838,0.00007870306,0.080162354,0.00008772201,0.005443378,0.00019222779,0.00000833909,0.000012069601,0.0007313523],"genre_scores_gemma":[0.9969254,0.00010278886,0.0026161314,0.00006497529,0.0002712375,7.2891424e-7,0.000001267109,0.000010151675,0.000007286705],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996499,0.00018097679,0.0016122547,0.00020915754,0.0012492468,0.0002493558],"domain_scores_gemma":[0.9944594,0.0018346413,0.0024947773,0.0002835385,0.00082659686,0.00010107434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005623831,0.00023757976,0.00071208214,0.0005027603,0.00050543,0.0005660766,0.0004686618,0.0001576397,0.000005736218],"category_scores_gemma":[0.0029379043,0.00017577322,0.00018815986,0.0007809062,0.00010004521,0.0004588777,0.00028954953,0.00045052273,0.0000010455154],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008758903,0.0015015819,0.108758666,0.0006781393,0.00032617868,0.000014925326,0.0055328025,0.003091565,0.00007753763,0.7859735,0.0015873035,0.091581896],"study_design_scores_gemma":[0.00876688,0.0009289889,0.067795195,0.0014740105,0.00031004148,0.000006141299,0.002012845,0.09679195,0.00025907689,0.8202856,0.00097242114,0.0003968041],"about_ca_topic_score_codex":0.000022188317,"about_ca_topic_score_gemma":2.7697183e-7,"teacher_disagreement_score":0.09370039,"about_ca_system_score_codex":0.000051282208,"about_ca_system_score_gemma":0.00013505269,"threshold_uncertainty_score":0.71678245},"labels":[],"label_agreement":null},{"id":"W4409795135","doi":"10.61091/jcmcc127b-402","title":"Application of Generative Adversarial Networks’ Image Information Security Encryption Algorithm in the Behavior Management of Prison Inmates","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Adversarial system; Encryption; Prison; Image (mathematics); Generative grammar; Computer science; Artificial intelligence; Computer security; Algorithm; Theoretical computer science; Psychology; Criminology","score_opus":0.008918010416102646,"score_gpt":0.30173814136068167,"score_spread":0.29282013094457904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8857543,0.00026412008,0.108787924,0.00015461059,0.0025154827,0.001628355,0.000004007632,0.000008562676,0.0008826225],"genre_scores_gemma":[0.99187744,0.00012002849,0.0077773635,0.000011799375,0.00018170591,0.000016457861,0.000009398419,0.0000048686998,9.684521e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979631,0.00010869381,0.0010181338,0.0000859541,0.00066348765,0.00016065614],"domain_scores_gemma":[0.9981953,0.00033105173,0.00076565763,0.00015970512,0.00047980988,0.00006849091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015374026,0.00013114177,0.0004888955,0.00020597164,0.00006864792,0.000035822446,0.00017641799,0.00010414002,0.000002391614],"category_scores_gemma":[0.0002114987,0.000092354756,0.00010201433,0.00040504825,0.00008870122,0.00017213679,0.000095003954,0.00031342264,3.3647075e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092695846,0.00452466,0.0033004687,0.0020877789,0.0005613363,0.00004991476,0.004328966,0.00004240926,0.00053036585,0.8883405,0.00018573744,0.09512094],"study_design_scores_gemma":[0.054096967,0.0056107645,0.023480136,0.00490458,0.0019649307,0.0001065114,0.009457658,0.20995821,0.0077802087,0.6816156,0.00054454297,0.00047988104],"about_ca_topic_score_codex":0.00002175061,"about_ca_topic_score_gemma":1.9614892e-7,"teacher_disagreement_score":0.2099158,"about_ca_system_score_codex":0.00008162266,"about_ca_system_score_gemma":0.000100199475,"threshold_uncertainty_score":0.37661174},"labels":[],"label_agreement":null},{"id":"W4409795136","doi":"10.61091/jcmcc127b-400","title":"Subsidy Strategies of Ride-Hailing Platforms Considering Taxi Street-Hailing during Order Overflow","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Subsidy; Order (exchange); Business; Taxis; Advertising; Economics; Transport engineering; Engineering; Finance; Market economy","score_opus":0.009631696809578323,"score_gpt":0.23867803988692657,"score_spread":0.22904634307734825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9759036,0.0002956961,0.014827061,0.000018012905,0.0075364127,0.00020607894,0.000004385554,0.000091353526,0.0011174126],"genre_scores_gemma":[0.99523294,0.000054509823,0.004399871,0.000004834755,0.00026950781,0.0000018905229,0.0000023417492,0.000030915406,0.0000032053986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974941,0.000017718192,0.0016211788,0.0001562652,0.00041172004,0.00029901546],"domain_scores_gemma":[0.99802846,0.00043735167,0.0005381431,0.0002166063,0.0006860402,0.0000933823],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00071780465,0.00028593003,0.0007369526,0.00038233688,0.00020394304,0.00014154178,0.00024428792,0.00016448631,0.0000075363337],"category_scores_gemma":[0.00024997423,0.0002835342,0.00014589811,0.0006251281,0.00008995251,0.00038405176,0.00005775087,0.0005186582,4.1187644e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050301445,0.00022679708,0.0014642006,0.001356315,0.0003461967,0.000015060258,0.0012990783,0.024455257,0.010380832,0.9598807,0.000026335694,0.00049888797],"study_design_scores_gemma":[0.01310038,0.00043472942,0.0035439844,0.0033217394,0.000449801,0.000060537277,0.0117316265,0.05676402,0.06312282,0.84617996,0.00031817163,0.00097222993],"about_ca_topic_score_codex":0.000016347132,"about_ca_topic_score_gemma":0.00000784229,"teacher_disagreement_score":0.11370077,"about_ca_system_score_codex":0.000083021805,"about_ca_system_score_gemma":0.0002240715,"threshold_uncertainty_score":0.9999617},"labels":[],"label_agreement":null},{"id":"W4409795137","doi":"10.61091/jcmcc127b-440","title":"Creative and Visual Analysis of Art Design with Computer Image Assisted Systems","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Computer graphics (images); Computer science; Visual arts; Computer vision; Artificial intelligence; Art","score_opus":0.014700242151345192,"score_gpt":0.27812654061893494,"score_spread":0.26342629846758975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795137","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24298306,0.00019959774,0.75147146,0.00008143438,0.004164138,0.00026162955,0.0000013851271,0.00003250836,0.0008047721],"genre_scores_gemma":[0.96190345,0.000018202347,0.037855662,0.000017004118,0.0001748761,0.0000020458876,9.960366e-7,0.000012357441,0.000015398577],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99756175,0.00017885961,0.0010859448,0.00028173218,0.00062280655,0.00026891963],"domain_scores_gemma":[0.9964177,0.0012192865,0.0010813952,0.00022376419,0.00088172825,0.0001761023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013236566,0.00028505884,0.0012180612,0.00057999254,0.00015358524,0.00054503564,0.00045920527,0.000108678665,0.0000010341124],"category_scores_gemma":[0.00012920011,0.0002190913,0.00015706102,0.001446314,0.00016130251,0.00049211713,0.00034639693,0.00026036295,6.1639264e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001949058,0.001165957,0.00051724236,0.00043887805,0.0028327263,0.00006498363,0.0011659464,0.00027566697,0.0004320758,0.98732597,0.00033249517,0.0052531483],"study_design_scores_gemma":[0.009184826,0.0062175076,0.0045840642,0.0028531705,0.0026038184,0.0001712797,0.000743928,0.8588254,0.0018883813,0.11172403,0.00039191145,0.00081169605],"about_ca_topic_score_codex":0.0000072855782,"about_ca_topic_score_gemma":1.2371429e-7,"teacher_disagreement_score":0.87560195,"about_ca_system_score_codex":0.000051136543,"about_ca_system_score_gemma":0.00017900518,"threshold_uncertainty_score":0.8934284},"labels":[],"label_agreement":null},{"id":"W4409795138","doi":"10.61091/jcmcc127b-485","title":"Construction of Intelligent Power Preservation System under the Integration of Internet of Things and Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internet of Things; Artificial intelligence; Computer science; World Wide Web","score_opus":0.035283562237741255,"score_gpt":0.31235281052447816,"score_spread":0.2770692482867369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63038635,0.00005890571,0.36518785,0.0000947058,0.0032873368,0.00019218483,3.962375e-7,0.000004675132,0.00078758044],"genre_scores_gemma":[0.97153556,0.000014614584,0.028381163,0.0000088935785,0.00004866366,8.67635e-7,2.7560864e-7,0.0000061901214,0.0000037398356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997671,0.00023283577,0.0013797627,0.00011857265,0.0005022029,0.00009562329],"domain_scores_gemma":[0.99684817,0.0010456534,0.0016023577,0.00016793769,0.00030303188,0.00003283877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032423493,0.00012500209,0.00042745328,0.00010975867,0.000071634386,0.000036471818,0.0002697058,0.00011981535,0.000015825522],"category_scores_gemma":[0.0007237776,0.000092955685,0.00008047034,0.0003113254,0.0003034284,0.0001903546,0.00024021637,0.00026184303,2.4340227e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007713578,0.00013278011,0.00047059008,0.00019142134,0.00005233045,2.2366052e-7,0.0032410999,0.00027022374,0.005189475,0.98388004,0.000016554426,0.006478103],"study_design_scores_gemma":[0.00034117448,0.00042998575,0.0004051261,0.00071369036,0.00009848526,0.000014208539,0.0048757647,0.045645,0.06452774,0.88285404,0.000011300614,0.000083464576],"about_ca_topic_score_codex":0.00006820012,"about_ca_topic_score_gemma":0.0000011893911,"teacher_disagreement_score":0.34114924,"about_ca_system_score_codex":0.00007997583,"about_ca_system_score_gemma":0.000047970218,"threshold_uncertainty_score":0.3790623},"labels":[],"label_agreement":null},{"id":"W4409795140","doi":"10.61091/jcmcc127b-406","title":"Digital Tour Route Planning for Historic Neighborhoods Driven by the Combination of BD and Intelligent Algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Artificial intelligence","score_opus":0.017415777727081447,"score_gpt":0.2491753953715056,"score_spread":0.23175961764442415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97578007,0.0031718928,0.0078073735,0.00019594883,0.010800548,0.0004321669,0.000040572006,0.000022645821,0.0017487679],"genre_scores_gemma":[0.9988024,0.000038877173,0.00077130226,0.000018660436,0.00028092184,6.7905984e-7,0.000011529669,0.000006722553,0.00006888951],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99838316,0.00007562229,0.00080259534,0.00016015006,0.0003534704,0.00022497511],"domain_scores_gemma":[0.99748886,0.00126254,0.0006927847,0.000120908255,0.00033929019,0.00009563344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010591816,0.00020009991,0.0005134338,0.00009955334,0.00033405394,0.0002353296,0.00030051207,0.000108506596,0.000004505524],"category_scores_gemma":[0.00039057166,0.00013906973,0.0001259423,0.00022802877,0.00010440073,0.00022443733,0.00005266137,0.000266813,3.4059883e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010359206,0.0015462748,0.13234651,0.0019097565,0.001219518,0.000026482065,0.011985312,0.0010294453,0.0008798451,0.3661498,0.008645662,0.47322544],"study_design_scores_gemma":[0.013095079,0.004427907,0.019573992,0.0020293219,0.00055671885,0.00015350521,0.006360833,0.14246173,0.0016938993,0.79577947,0.01271615,0.0011513687],"about_ca_topic_score_codex":0.000029426194,"about_ca_topic_score_gemma":0.0000013181814,"teacher_disagreement_score":0.4720741,"about_ca_system_score_codex":0.000025039546,"about_ca_system_score_gemma":0.00007581897,"threshold_uncertainty_score":0.56710994},"labels":[],"label_agreement":null},{"id":"W4409795141","doi":"10.61091/jcmcc127b-391","title":"Algorithm Optimization and Innovative Design of Digital Inheritance System for Miao Family Weaving Handicraft in South Sichuan Province","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Electronic Science and Technology of China","keywords":"Weaving; Handicraft; Inheritance (genetic algorithm); Geography; Engineering; Genealogy; Archaeology; History; Mechanical engineering; Biology","score_opus":0.015183606271044762,"score_gpt":0.23413088263933843,"score_spread":0.21894727636829367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795141","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33521804,0.00023787106,0.6592398,0.00024427698,0.00377768,0.00077157264,0.0000045480897,0.00005235729,0.00045380666],"genre_scores_gemma":[0.97353405,0.0000044095686,0.026023503,0.000032366985,0.00037261005,0.000006242866,0.0000030993592,0.000020023646,0.0000036868298],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982821,0.000016627728,0.0010865919,0.00017781541,0.00022352801,0.00021337249],"domain_scores_gemma":[0.9971675,0.00037429377,0.0012835177,0.0001276474,0.0010343618,0.000012667904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010750325,0.0002071883,0.0006110701,0.00063548505,0.00019622795,0.0002875707,0.00024327102,0.0001601008,3.3581182e-7],"category_scores_gemma":[0.0005191359,0.00019838152,0.000051131094,0.001091623,0.00013142424,0.0006179171,0.00019342038,0.00027592367,2.456033e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010281319,0.00032812194,0.0019934752,0.0010772931,0.00010744061,0.000007175,0.00035186467,0.00080428,0.00036986495,0.990616,0.00009805723,0.0041435715],"study_design_scores_gemma":[0.014108911,0.00041865648,0.00044429637,0.0044130934,0.00025148483,0.000017607934,0.008100753,0.3302922,0.00075437175,0.6402191,0.00032047115,0.0006590398],"about_ca_topic_score_codex":0.000008567762,"about_ca_topic_score_gemma":3.0587128e-7,"teacher_disagreement_score":0.63831604,"about_ca_system_score_codex":0.000064057465,"about_ca_system_score_gemma":0.000120431745,"threshold_uncertainty_score":0.80897635},"labels":[],"label_agreement":null},{"id":"W4409795146","doi":"10.61091/jcmcc127b-529","title":"Research on Translation System Based on cloud Computing Data Aggregation Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Jilin Engineering Normal University","keywords":"Computer science; Cloud computing; Translation (biology); Algorithm; Distributed computing; Operating system; Chemistry","score_opus":0.07539384029011784,"score_gpt":0.37445581176839593,"score_spread":0.29906197147827807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795146","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07774936,0.0004390509,0.8655887,0.0027338308,0.047077104,0.000661179,0.000007068971,0.00022410724,0.0055195913],"genre_scores_gemma":[0.95213366,0.0000098484725,0.046426587,0.00007287405,0.0013269432,0.0000015795251,0.0000059458466,0.000015964859,0.000006612349],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965515,0.0004698137,0.0010616544,0.0004549828,0.0010796514,0.00038236968],"domain_scores_gemma":[0.99344844,0.003953383,0.0007065279,0.0009227963,0.00085127854,0.000117583615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006462593,0.00025400557,0.0005544643,0.0008681535,0.0007069102,0.00035708578,0.0019112794,0.0002819153,0.0000013103822],"category_scores_gemma":[0.00051779876,0.00023498318,0.00009642051,0.0011275712,0.00011682753,0.0002954321,0.00040185996,0.0011461142,0.0000054076245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004563201,0.0005118647,0.000026736641,0.00016020863,0.000049249775,0.000013150173,0.00029790073,0.0005022239,0.000029033115,0.9552446,0.00059329055,0.042526104],"study_design_scores_gemma":[0.002756939,0.00082919304,0.00011968769,0.0016104513,0.000035606387,0.00003214206,0.0004639573,0.6728962,0.0004873717,0.3192854,0.001264816,0.00021823842],"about_ca_topic_score_codex":0.000008243121,"about_ca_topic_score_gemma":2.1798091e-7,"teacher_disagreement_score":0.8743843,"about_ca_system_score_codex":0.00020875988,"about_ca_system_score_gemma":0.00056362763,"threshold_uncertainty_score":0.9582336},"labels":[],"label_agreement":null},{"id":"W4409795155","doi":"10.61091/jcmcc127b-507","title":"Efficacy Improvement of Convolutional Neural Network-based Artificial Intelligence Recommendation Model in Cross-border E-commerce Marketing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Artificial neural network; Computer science; Artificial intelligence; E-commerce; Cross-validation; World Wide Web","score_opus":0.021816552788287882,"score_gpt":0.3156681170229674,"score_spread":0.2938515642346795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9594976,0.00005319135,0.031077899,0.0016924912,0.005721149,0.00035280184,0.0000015182551,0.00003965792,0.0015637266],"genre_scores_gemma":[0.99607843,0.000004361536,0.0028752633,0.000267198,0.0007388065,0.000003870687,0.000008171683,0.000019261115,0.000004639866],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973148,0.00003478014,0.0017721386,0.000213786,0.0003303018,0.00033416145],"domain_scores_gemma":[0.9966738,0.00078062963,0.0014753675,0.0001897881,0.00086172204,0.000018657505],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028986242,0.00024603083,0.0006073603,0.0006029743,0.0002808263,0.00021047342,0.00034829162,0.000191054,0.000022655804],"category_scores_gemma":[0.0009947943,0.00024641072,0.00013590118,0.0010956576,0.00018537186,0.0004031218,0.0002958384,0.0005871032,0.0000011257532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030808573,0.0008336423,0.0036500131,0.0002894134,0.00005937722,0.0000022971697,0.00004002652,0.012663128,0.00033051678,0.9619497,0.00016976519,0.019704001],"study_design_scores_gemma":[0.0022014566,0.00008935056,0.001482214,0.0004942493,0.00007562118,0.0000023552673,0.00017401602,0.4831838,0.00025643123,0.5115688,0.00025054274,0.00022120457],"about_ca_topic_score_codex":0.000034128374,"about_ca_topic_score_gemma":0.0000041216713,"teacher_disagreement_score":0.47052068,"about_ca_system_score_codex":0.00008472931,"about_ca_system_score_gemma":0.00013060018,"threshold_uncertainty_score":0.9999988},"labels":[],"label_agreement":null},{"id":"W4409795163","doi":"10.61091/jcmcc127b-518","title":"Research on optimization method of multithreaded computing architecture for large-scale digital media data processing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Architecture; Computer architecture; Scale (ratio); Parallel computing; Data processing; Distributed computing; Computational science; Operating system","score_opus":0.055869074445916614,"score_gpt":0.40733162539599377,"score_spread":0.35146255095007717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795163","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021589136,0.00023931195,0.9695532,0.00038684878,0.0063114744,0.0005015325,0.000023655382,0.00004695892,0.0013479004],"genre_scores_gemma":[0.72749466,0.00001680908,0.27068132,0.000016453656,0.0017394872,0.0000010971809,0.000010508649,0.000027363678,0.000012335947],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965976,0.00034779162,0.0011135901,0.00036161748,0.0010443813,0.00053503097],"domain_scores_gemma":[0.99140805,0.0054647853,0.0010219405,0.0003437994,0.0016030673,0.00015837591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007726016,0.00022653928,0.0007535707,0.00043735155,0.0011075671,0.0003724853,0.0009916038,0.00021093809,0.0000013400627],"category_scores_gemma":[0.0035879987,0.00020715322,0.00012757437,0.00086213736,0.00020261011,0.0002824913,0.0004937167,0.0007066959,2.2761577e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034067218,0.0014461658,0.00007632596,0.00059284025,0.00015159625,0.0000062171703,0.020230755,0.024052976,0.00008013826,0.8357045,0.00033393354,0.11698388],"study_design_scores_gemma":[0.0051691392,0.00049966195,0.0000151605645,0.0020576513,0.00009360401,0.0000086008895,0.012184082,0.47122326,0.00029864153,0.505902,0.0022425947,0.000305581],"about_ca_topic_score_codex":0.000014440914,"about_ca_topic_score_gemma":0.0000022412723,"teacher_disagreement_score":0.7059055,"about_ca_system_score_codex":0.00011020088,"about_ca_system_score_gemma":0.0005169193,"threshold_uncertainty_score":0.85186225},"labels":[],"label_agreement":null},{"id":"W4409795168","doi":"10.61091/jcmcc127b-508","title":"A Linear Regression Model-Based Approach to Assessing Translation Efficiency in Business English Translation Teaching","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Henan University","keywords":"Translation (biology); Computer science; Business English; Linear regression; Regression; Natural language processing; Artificial intelligence; Statistics; Machine learning; Mathematics education; Mathematics","score_opus":0.03972070937009903,"score_gpt":0.2922277831602794,"score_spread":0.2525070737901804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77585876,0.0003762328,0.18772875,0.00032353884,0.01645406,0.0005309029,0.0000023340306,0.000060161976,0.018665258],"genre_scores_gemma":[0.9830686,0.000005306153,0.01541436,0.00004003099,0.001435076,0.0000027287824,0.0000028649695,0.000022517996,0.000008546255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980459,0.00011926166,0.00093319715,0.00020446385,0.0004491475,0.0002479843],"domain_scores_gemma":[0.9982946,0.00053597003,0.00043784847,0.00013301901,0.00050814747,0.00009040501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016331546,0.00023168857,0.0005662932,0.00047294315,0.00035116475,0.0003707302,0.00022813916,0.000113900875,0.0000032318023],"category_scores_gemma":[0.00048131964,0.00019329014,0.00011263364,0.0002555139,0.000059390153,0.0003110945,0.000038871916,0.0004754342,4.2732697e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015646053,0.0015041253,0.000060188264,0.0006213304,0.000036554327,0.000004154783,0.041670598,0.012466833,0.0005295742,0.92515427,0.00009687211,0.017699037],"study_design_scores_gemma":[0.0075644515,0.0003253621,0.000063611835,0.003519624,0.00014877651,0.000003868981,0.0048578857,0.8282654,0.00026751703,0.15064652,0.0038169557,0.0005200198],"about_ca_topic_score_codex":0.00001306361,"about_ca_topic_score_gemma":0.0000017350001,"teacher_disagreement_score":0.8157986,"about_ca_system_score_codex":0.000077307515,"about_ca_system_score_gemma":0.0001897103,"threshold_uncertainty_score":0.7882143},"labels":[],"label_agreement":null},{"id":"W4409795180","doi":"10.61091/jcmcc127b-516","title":"Reinforcement Learning-Based Optimization and Simulation Modeling of International Relations Interaction Strategies","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Reinforcement; Computer science; Artificial intelligence; Psychology; Social psychology","score_opus":0.012330343640815013,"score_gpt":0.26744170686307117,"score_spread":0.25511136322225614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795180","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1445746,0.00006350089,0.84237784,0.00022818454,0.007638004,0.00020907671,3.2576983e-7,0.00003265941,0.004875813],"genre_scores_gemma":[0.9974361,0.000007901842,0.001943999,0.00002107113,0.0005630509,0.0000013648339,0.0000062742793,0.000011171052,0.000009040457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985712,0.000021913953,0.00086558505,0.00011273601,0.00033349788,0.00009504343],"domain_scores_gemma":[0.9973466,0.0003113492,0.0010840046,0.000079909805,0.0011647398,0.000013418037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063281786,0.00013595466,0.000284887,0.0004770866,0.00019052673,0.00041561338,0.00013066798,0.00007587704,0.00001996335],"category_scores_gemma":[0.00065858517,0.0001358042,0.000059970673,0.00034794855,0.00003474669,0.00090976455,0.000116533556,0.00021229644,6.058388e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006304914,0.00008317491,0.00039641839,0.00011618444,0.000039131548,4.9108206e-7,0.00009442132,0.7639195,0.000036160913,0.23505068,0.000023679397,0.00017714054],"study_design_scores_gemma":[0.0017760625,0.000054940167,0.000023937988,0.00040110157,0.000078133984,8.761571e-7,0.00083710754,0.93233,0.000020042637,0.06403005,0.00035899776,0.00008875329],"about_ca_topic_score_codex":0.000016525091,"about_ca_topic_score_gemma":5.8862867e-7,"teacher_disagreement_score":0.8528615,"about_ca_system_score_codex":0.00006209855,"about_ca_system_score_gemma":0.00008042599,"threshold_uncertainty_score":0.55379343},"labels":[],"label_agreement":null},{"id":"W4409795185","doi":"10.61091/jcmcc127b-526","title":"Multi-objective optimization regulation method and intelligent path planning of ideological and political education elements in physical education teaching","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ideology; Physical education; Path (computing); Political education; Politics; Mathematics education; Computer science; Political science; Sociology; Psychology; Law; Computer network","score_opus":0.02187899532725084,"score_gpt":0.3816220056903435,"score_spread":0.35974301036309264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9404872,0.00023562391,0.05238041,0.0006143414,0.0040226304,0.0003530844,6.0389044e-7,0.000011697106,0.0018943818],"genre_scores_gemma":[0.9624312,0.000016114313,0.036895737,0.00005047473,0.00058333157,0.0000033839622,0.0000016833645,0.000005649326,0.000012447244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981197,0.0004807583,0.000723422,0.0001688721,0.00027794033,0.00022930391],"domain_scores_gemma":[0.9977024,0.0011596202,0.00047402756,0.00006744592,0.0004536843,0.00014282083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020642697,0.00013541238,0.00041795147,0.00022417845,0.00025427097,0.00008788894,0.00010817984,0.00014801665,0.0000024507776],"category_scores_gemma":[0.0031945098,0.00011930533,0.000048640166,0.00021313973,0.00017242109,0.00018293712,0.00009120002,0.000346215,8.346579e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003867363,0.0010525691,0.0055427733,0.000103729144,0.000017786753,2.9607682e-7,0.0064404793,0.00009940865,0.00008273585,0.9783662,0.000018928478,0.008236398],"study_design_scores_gemma":[0.0010025521,0.00028113215,0.008380389,0.0006659823,0.000072683266,0.0000051151715,0.009363545,0.024947839,0.00014269615,0.95484126,0.00015143129,0.00014538571],"about_ca_topic_score_codex":0.00022117542,"about_ca_topic_score_gemma":0.0000012756981,"teacher_disagreement_score":0.02484843,"about_ca_system_score_codex":0.00015928905,"about_ca_system_score_gemma":0.0005082151,"threshold_uncertainty_score":0.48651302},"labels":[],"label_agreement":null},{"id":"W4409795190","doi":"10.61091/jcmcc127b-522","title":"Construction of Corporate Financial Risk Prediction Model Based on Random Forest Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Safety and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Anyang Institute of Technology","keywords":"Random forest; Computer science; Financial risk; Finance; Algorithm; Business; Artificial intelligence","score_opus":0.009658695713306952,"score_gpt":0.21060577043908263,"score_spread":0.20094707472577567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795190","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48266363,0.00009879124,0.48567623,0.00022074887,0.025849419,0.00066469616,0.000010124067,0.000063982,0.004752387],"genre_scores_gemma":[0.9874348,0.000035450215,0.01072981,0.0000904391,0.0016748564,0.0000026901919,0.000004338073,0.000019271503,0.000008331849],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977746,0.000041729447,0.0012016566,0.00019782224,0.00056128576,0.00022292834],"domain_scores_gemma":[0.99616474,0.0002823879,0.0026324606,0.00020467844,0.0006886282,0.000027129532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018551644,0.00025586045,0.00068071194,0.00053785543,0.00033984624,0.00017067991,0.00026903415,0.00015629902,0.000004634924],"category_scores_gemma":[0.00064333755,0.00022254615,0.00021658868,0.00053940166,0.00011912327,0.00033684677,0.00014679952,0.00040237373,0.0000018905432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005509084,0.0006303854,0.0019815553,0.00044565456,0.00008819665,0.0000063428724,0.000054586264,0.021910466,0.00002567526,0.9628252,0.0006714252,0.010809599],"study_design_scores_gemma":[0.0060866335,0.00011651033,0.0005654668,0.0003918296,0.00020700214,0.0000016448469,0.000060174847,0.50906855,0.00004253508,0.48305583,0.00029459043,0.00010922265],"about_ca_topic_score_codex":0.00002026808,"about_ca_topic_score_gemma":7.0938694e-7,"teacher_disagreement_score":0.5047712,"about_ca_system_score_codex":0.00005857458,"about_ca_system_score_gemma":0.00012335478,"threshold_uncertainty_score":0.90751684},"labels":[],"label_agreement":null},{"id":"W4409795191","doi":"10.61091/jcmcc127b-527","title":"Research on the Optimization of Civics Content and Practical Path of Western Economics Course in Applied Colleges and Universities Based on Machine Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Civics; Course (navigation); Mathematics education; Path (computing); Content (measure theory); Economics education; Computer science; Political science; Sociology; Pedagogy; Engineering ethics; Psychology; Engineering; Mathematics; Aerospace engineering","score_opus":0.03214884652870961,"score_gpt":0.30053572257078265,"score_spread":0.268386876042073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99589884,0.000018711959,0.0005803637,0.00089603977,0.0004540274,0.00016285654,0.0000015567585,0.0000017321405,0.0019858635],"genre_scores_gemma":[0.99870276,0.000046690584,0.0011724794,0.00002638901,0.000034768767,8.8400924e-7,7.19973e-7,0.0000052880614,0.00000999917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901253,0.00008660177,0.00043964313,0.000092481074,0.00026776988,0.0001009858],"domain_scores_gemma":[0.99773264,0.0016277616,0.0004090599,0.00007836661,0.000117425094,0.00003474917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018292513,0.000084543506,0.00024904145,0.00013215886,0.00016133401,0.000039894003,0.000085092885,0.000057363413,0.0000060345133],"category_scores_gemma":[0.00021484142,0.00006186595,0.000021358946,0.0002458869,0.00019902588,0.0000672421,0.00011166684,0.0003311177,1.0818018e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015279173,0.0004988076,0.005689347,0.000060601134,0.000021568929,9.67994e-7,0.0006218496,0.014228104,0.00008477205,0.9784316,0.000029096698,0.00018051],"study_design_scores_gemma":[0.010517587,0.0035226527,0.023066234,0.0016422577,0.0001200849,0.000017759987,0.026688695,0.6265363,0.0016085375,0.3053017,0.000582596,0.0003955994],"about_ca_topic_score_codex":0.000023150335,"about_ca_topic_score_gemma":0.0000016924478,"teacher_disagreement_score":0.6731299,"about_ca_system_score_codex":0.000099946934,"about_ca_system_score_gemma":0.00012723563,"threshold_uncertainty_score":0.252282},"labels":[],"label_agreement":null},{"id":"W4409795194","doi":"10.61091/jcmcc127b-513","title":"Nonlinear kinetic modeling of training load and recovery cycle in martial arts sparring athletes","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Martial arts; Athletes; Training (meteorology); Art; Visual arts; Physical therapy; Geography; Medicine","score_opus":0.016650744742436465,"score_gpt":0.2694086212339398,"score_spread":0.2527578764915034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913688,0.0007376375,0.0015061696,0.00012867199,0.0047560553,0.00017915104,9.386411e-7,0.000010423272,0.0013121639],"genre_scores_gemma":[0.99362105,0.00012705584,0.0055341413,0.00002860594,0.0006638436,7.548951e-7,5.4556847e-7,0.000017140756,0.0000068695795],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979459,0.000025859183,0.0012366009,0.00016417909,0.00037966977,0.00024779464],"domain_scores_gemma":[0.998641,0.00024070458,0.0005334846,0.00015429745,0.00032504747,0.00010545803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012313479,0.00019714281,0.00088071986,0.00026137583,0.000084694504,0.000058484617,0.00012000852,0.00012351327,0.000004091753],"category_scores_gemma":[0.00035521886,0.0001784594,0.000120382036,0.00023394769,0.00006957856,0.00013477808,0.00014089532,0.0004306434,1.5700867e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009129197,0.0061094216,0.030559996,0.013514894,0.001786939,0.0006246872,0.038484644,0.0167481,0.012543533,0.7575592,0.00031184775,0.112627566],"study_design_scores_gemma":[0.016110905,0.0026996399,0.0011516003,0.0119348625,0.00039811357,0.00028866768,0.0020353657,0.67755604,0.0024777825,0.28425953,0.000593469,0.0004940096],"about_ca_topic_score_codex":0.000026546639,"about_ca_topic_score_gemma":0.0000012353988,"teacher_disagreement_score":0.66080797,"about_ca_system_score_codex":0.00007352418,"about_ca_system_score_gemma":0.00024243906,"threshold_uncertainty_score":0.7277363},"labels":[],"label_agreement":null},{"id":"W4409795195","doi":"10.61091/jcmcc127b-515","title":"An Empirical Study of Intelligent Algorithms for Evaluating English Teaching Effectiveness in Colleges and Universities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Empirical research; Mathematics education; College English; Artificial intelligence; Engineering management; Engineering; Psychology; Mathematics; Statistics","score_opus":0.03690614867721735,"score_gpt":0.38785010299969735,"score_spread":0.35094395432248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94797033,0.00015927282,0.046189275,0.00006344656,0.0051280404,0.0003967328,7.154417e-7,0.000019471638,0.00007274031],"genre_scores_gemma":[0.9847685,0.0000063936673,0.015038802,0.000007623906,0.000165689,0.000003866824,2.969147e-7,0.0000066402654,0.0000021631497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982369,0.00038369256,0.0007111392,0.00021681216,0.00027786643,0.00017360634],"domain_scores_gemma":[0.9956307,0.003010916,0.0004953813,0.00019394947,0.0006103313,0.00005876436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003943239,0.00015768879,0.0005694559,0.00043640108,0.00023797737,0.000097771604,0.0005137366,0.0001263517,2.8345775e-7],"category_scores_gemma":[0.00066982786,0.00015006955,0.000056431796,0.0002955866,0.00006795823,0.00026859718,0.00024288816,0.0003901266,2.3092122e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001237863,0.0021034405,0.007653011,0.00026976207,0.000106373365,0.0000048252477,0.019022686,0.00016449195,0.0002040847,0.965121,0.000010284208,0.0052162986],"study_design_scores_gemma":[0.008107638,0.005953318,0.006100297,0.00075891387,0.000107616666,0.000020273936,0.03312628,0.07041708,0.0010597835,0.87401474,0.00005992596,0.00027416463],"about_ca_topic_score_codex":0.000016893871,"about_ca_topic_score_gemma":0.0000011118651,"teacher_disagreement_score":0.09110624,"about_ca_system_score_codex":0.00009834478,"about_ca_system_score_gemma":0.00032536153,"threshold_uncertainty_score":0.61196584},"labels":[],"label_agreement":null},{"id":"W4409795196","doi":"10.61091/jcmcc127b-523","title":"Optimization of Random Forest Algorithm and Research on the Effectiveness of its Application in Stock Index Forecasting","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Random forest; Index (typography); Stock (firearms); Optimization algorithm; Algorithm; Computer science; Mathematics; Artificial intelligence; Mathematical optimization; Geography","score_opus":0.08360822677457928,"score_gpt":0.3996262695310554,"score_spread":0.3160180427564761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.715036,0.00016452989,0.28020054,0.000056940647,0.0028574683,0.0007800263,0.0000013450398,0.000004446156,0.00089870224],"genre_scores_gemma":[0.98931545,0.000013549456,0.010493371,0.0000030850076,0.0001493934,0.000008058199,2.612617e-7,0.000012808791,0.0000040411933],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9936447,0.0024379417,0.0018155618,0.00027041673,0.0015820595,0.0002492926],"domain_scores_gemma":[0.9458499,0.050204564,0.0014857592,0.00030548353,0.0020904248,0.00006388373],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.051547244,0.00017967653,0.0008934907,0.00089299463,0.00022746886,0.00013148595,0.000625027,0.00015557815,0.0000019345975],"category_scores_gemma":[0.028770998,0.00012322847,0.000113756956,0.00181123,0.00019855397,0.00014472331,0.00036679025,0.0005817571,1.4178788e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002401059,0.0008121828,0.012889692,0.00069432857,0.00012190145,0.000005492374,0.0011230506,0.024727412,0.00050883944,0.89570946,0.000053094518,0.060953468],"study_design_scores_gemma":[0.0036578185,0.00039743714,0.0021259123,0.0010856328,0.000019393048,0.000008901983,0.00032819083,0.44900325,0.0009447522,0.54234344,0.000013275691,0.000071971364],"about_ca_topic_score_codex":0.000012733545,"about_ca_topic_score_gemma":6.03842e-7,"teacher_disagreement_score":0.42427585,"about_ca_system_score_codex":0.00007960798,"about_ca_system_score_gemma":0.00016448383,"threshold_uncertainty_score":0.97941005},"labels":[],"label_agreement":null},{"id":"W4409795197","doi":"10.61091/jcmcc127b-512","title":"Application of Least Squares Support Vector Regression Analysis to Green Concrete with Oil Palm Husk Aggregate","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Husk; Aggregate (composite); Palm oil; Palm; Partial least squares regression; Mathematics; Regression analysis; Support vector machine; Statistics; Materials science; Computer science; Composite material; Chemistry; Botany; Food science; Artificial intelligence; Biology","score_opus":0.00823321450374949,"score_gpt":0.27116493464815333,"score_spread":0.26293172014440386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98364013,0.00039570857,0.010840805,0.00022818329,0.0010754695,0.00009814009,0.000009700073,0.00003898801,0.0036728575],"genre_scores_gemma":[0.9972834,0.00003463702,0.0021177079,0.000022008047,0.000400177,0.000003647895,0.00000602869,0.00002384657,0.00010857211],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974358,0.000042862586,0.0012167424,0.00029520155,0.00070486136,0.00030450805],"domain_scores_gemma":[0.9964816,0.00052240974,0.0015832572,0.00039558395,0.00081803725,0.00019913742],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006881854,0.00032525384,0.001301958,0.0006530891,0.00019534034,0.000101953185,0.0004911701,0.00019036267,0.000039318387],"category_scores_gemma":[0.00029988552,0.0002555783,0.0002948306,0.001975135,0.000104033476,0.0001092294,0.00018328078,0.00038806163,0.0000012566384],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033616752,0.0017654044,0.037312284,0.005305768,0.014688951,0.00010515822,0.004612747,0.0005699229,0.15872271,0.755526,0.00092379923,0.017105572],"study_design_scores_gemma":[0.02909259,0.0045946823,0.002477238,0.0044209156,0.02635525,0.00018205534,0.0058963336,0.020567745,0.72519827,0.17348796,0.004858124,0.0028688414],"about_ca_topic_score_codex":0.00007384594,"about_ca_topic_score_gemma":0.0000018729613,"teacher_disagreement_score":0.58203804,"about_ca_system_score_codex":0.00011409884,"about_ca_system_score_gemma":0.00020545226,"threshold_uncertainty_score":0.9999896},"labels":[],"label_agreement":null},{"id":"W4409795201","doi":"10.61091/jcmcc127b-509","title":"Numerical simulation of spatial-temporal coupling characteristics in the evolution of urban-rural landscape","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Coupling (piping); Geography; Urban landscape; Computer simulation; Statistical physics; Environmental science; Computer science; Environmental planning; Physics; Simulation; Engineering","score_opus":0.009319262847489771,"score_gpt":0.233577316648992,"score_spread":0.22425805380150224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875108,0.0002546912,0.0075335037,0.0000435903,0.004115165,0.00012574055,0.0000026497405,0.000005062262,0.00040877025],"genre_scores_gemma":[0.9992843,0.000013900634,0.00030320082,0.0000059979047,0.00038405572,3.2703007e-8,0.0000038788075,0.0000033775284,0.0000012494436],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982277,0.000102080216,0.0010220015,0.000085747204,0.0004057769,0.00015665364],"domain_scores_gemma":[0.99754053,0.0010996494,0.00092792476,0.00012820058,0.0002628281,0.000040873387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014496994,0.00013162183,0.0005409152,0.00018252115,0.00009368715,0.000053014035,0.00021371146,0.000098575285,0.000005446363],"category_scores_gemma":[0.0004119359,0.000091122325,0.000099374876,0.00033313516,0.000055451415,0.000083511484,0.00001761779,0.00026955808,3.2066913e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007118688,0.0007404041,0.86192703,0.00077409914,0.00014944677,0.000019782714,0.003872802,0.057911992,0.00012968462,0.061165094,0.000082291306,0.012515492],"study_design_scores_gemma":[0.002089744,0.000493944,0.10117408,0.00059256697,0.000070700495,0.000012887506,0.00094622164,0.8410118,0.0000536768,0.053378314,0.00005351578,0.00012255328],"about_ca_topic_score_codex":0.0005095028,"about_ca_topic_score_gemma":0.00000752696,"teacher_disagreement_score":0.78309983,"about_ca_system_score_codex":0.000013882404,"about_ca_system_score_gemma":0.00012929554,"threshold_uncertainty_score":0.37158605},"labels":[],"label_agreement":null},{"id":"W4409795688","doi":"10.61091/jcmcc127b-420","title":"Fiscal Countermeasures of Population Aging for Economic Development Based on Big Data Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Development (topology); Computer science; Big data; Algorithm; Economics; Data mining; Mathematics","score_opus":0.024977745755445147,"score_gpt":0.2510847878105859,"score_spread":0.22610704205514076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8697665,0.000072683135,0.09919541,0.00030539275,0.028764028,0.0005942732,0.00001639049,0.000021557918,0.0012638029],"genre_scores_gemma":[0.9773416,0.000003853965,0.022234503,0.000033949025,0.00035270947,0.0000021469866,0.000010559972,0.000013897906,0.0000067732017],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983267,0.000029249977,0.0009780733,0.00021877396,0.00025447077,0.00019270624],"domain_scores_gemma":[0.99850637,0.00037233194,0.00075974275,0.00025262564,0.000044464272,0.00006444994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001662116,0.0001757575,0.00048782866,0.00011985534,0.0001843443,0.000082853694,0.0004423682,0.00008021934,0.000012697153],"category_scores_gemma":[0.00012128206,0.0001609521,0.00006525754,0.00008257043,0.000050525352,0.00013427976,0.00030227046,0.0001256823,0.0000018596173],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070742355,0.0027787883,0.035009492,0.0013222232,0.0006754819,0.00001128997,0.001578884,0.016038844,0.00040541426,0.13723016,0.006201944,0.79804003],"study_design_scores_gemma":[0.013479096,0.00059416954,0.030166809,0.0016692772,0.00023937976,0.000015979973,0.0002297169,0.7087472,0.0017904305,0.22504915,0.017186955,0.0008318548],"about_ca_topic_score_codex":0.000027831173,"about_ca_topic_score_gemma":0.00000247634,"teacher_disagreement_score":0.7972082,"about_ca_system_score_codex":0.0002676416,"about_ca_system_score_gemma":0.00011378355,"threshold_uncertainty_score":0.6563436},"labels":[],"label_agreement":null},{"id":"W4409795690","doi":"10.61091/jcmcc127b-430","title":"Infrared visible image fusion algorithm based on double branching and resultant decomposition","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Image fusion; Fusion; Infrared; Branching (polymer chemistry); Image (mathematics); Decomposition; Algorithm; Computer vision; Computer science; Artificial intelligence; Physics; Materials science; Optics; Chemistry","score_opus":0.0053359377627011035,"score_gpt":0.2593823728429357,"score_spread":0.2540464350802346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795690","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24514352,0.0005803598,0.73071796,0.00014155198,0.013057397,0.00066933426,0.0000065263666,0.00040137907,0.009281971],"genre_scores_gemma":[0.83796054,0.00011755386,0.16130377,0.00004786028,0.00049898843,0.0000038833123,0.000003065227,0.00005305922,0.000011278735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981942,0.000052338037,0.0009024019,0.00018736554,0.00040005834,0.00026359412],"domain_scores_gemma":[0.99842376,0.00054005167,0.00036027003,0.0002201614,0.00033160602,0.00012417183],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008705821,0.000291276,0.00059209345,0.00040946843,0.00026763612,0.000252013,0.00021676313,0.000155273,0.000004264713],"category_scores_gemma":[0.00017116804,0.00027658985,0.000096148935,0.00036831773,0.000058886515,0.00028484996,0.00013544646,0.00054786826,7.34963e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016369274,0.002257397,0.00012153395,0.0032077632,0.0004344807,0.00024848222,0.0022642955,0.0065254876,0.12811223,0.6949298,0.0055171894,0.15474445],"study_design_scores_gemma":[0.0080968365,0.0005690972,0.00005289682,0.0017987855,0.00007592498,0.00003533076,0.000109604945,0.4688986,0.038589105,0.48069713,0.0006994387,0.000377273],"about_ca_topic_score_codex":0.0000023188963,"about_ca_topic_score_gemma":6.7545095e-8,"teacher_disagreement_score":0.592817,"about_ca_system_score_codex":0.00011950544,"about_ca_system_score_gemma":0.000057575537,"threshold_uncertainty_score":0.99996865},"labels":[],"label_agreement":null},{"id":"W4409795691","doi":"10.61091/jcmcc127b-436","title":"Time of Resource Allocation Decision Model Based on Multi-Objective Optimization in School Information Technology Promotion","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Web Applications and Data Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Resource allocation; Computer science; Resource (disambiguation); Management science; Decision model; Operations research; Knowledge management; Economics; Machine learning; Engineering; Political science","score_opus":0.008841774046359763,"score_gpt":0.24951934843320242,"score_spread":0.24067757438684265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795691","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027663425,0.000016694825,0.97032666,0.0003809509,0.00074063,0.00042069933,0.0000011628896,0.00003025391,0.00041954775],"genre_scores_gemma":[0.7752286,0.0000058326264,0.22468495,0.00003070862,0.000032141343,0.00000605925,0.0000034880532,0.0000056291296,0.0000025827023],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816924,0.000062899344,0.0010323322,0.0001708251,0.00041454178,0.00015014854],"domain_scores_gemma":[0.9978174,0.00027305045,0.0009169859,0.00038040834,0.00055975135,0.000052404444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014562983,0.00015474219,0.00036602165,0.0010881125,0.00011484408,0.00014560693,0.0005880725,0.00014048384,0.00000105171],"category_scores_gemma":[0.0006726925,0.00014655077,0.000057490844,0.0010992449,0.00004374371,0.00061901123,0.00026004526,0.00025271106,0.0000015960371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005883555,0.00074663345,0.00005064709,0.00008876411,0.000017092314,7.1703613e-7,0.00022823975,0.32981825,0.00010917995,0.6611879,0.00009529152,0.0075984797],"study_design_scores_gemma":[0.0026372776,0.0002743547,0.000074535805,0.0004316255,0.000015711481,0.0000016282629,0.000071991344,0.84383124,0.000501054,0.15202028,0.000046201236,0.00009407907],"about_ca_topic_score_codex":0.0000023936868,"about_ca_topic_score_gemma":1.124462e-7,"teacher_disagreement_score":0.7475652,"about_ca_system_score_codex":0.00016413414,"about_ca_system_score_gemma":0.0002055835,"threshold_uncertainty_score":0.5976167},"labels":[],"label_agreement":null},{"id":"W4409795692","doi":"10.61091/jcmcc127b-503","title":"In-depth Analysis of Chinese Traditional Music Overseas Communication Path Based on Multi-objective Optimization Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Path (computing); Path analysis (statistics); Algorithm; Optimization algorithm; Mathematical optimization; Mathematics; Computer network; Machine learning","score_opus":0.017308594102123456,"score_gpt":0.268145025490996,"score_spread":0.25083643138887257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88380784,0.000048606464,0.10522901,0.00032627728,0.0043560965,0.00039746036,0.00001525615,0.000013643397,0.005805821],"genre_scores_gemma":[0.9656601,0.000010449327,0.03415153,0.00006765313,0.000077942794,0.000003124559,0.000013486257,0.000008620302,0.000007077998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982822,0.00008767531,0.0008470142,0.00014773701,0.0005002488,0.00013514659],"domain_scores_gemma":[0.99809694,0.00065348187,0.0007791739,0.00019901893,0.000214956,0.00005645358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010078347,0.00015831013,0.0004623218,0.00050386204,0.00015962555,0.00004643367,0.00024755462,0.000091231166,0.00007350388],"category_scores_gemma":[0.00039784313,0.00013359066,0.00014891324,0.0018706407,0.000104329876,0.00025144353,0.00008450455,0.0002762756,5.7258177e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014697903,0.00620722,0.025556723,0.00010060531,0.00052855135,0.0000046258933,0.0024344604,0.30394894,0.00024708646,0.65844315,0.0003533263,0.0020283402],"study_design_scores_gemma":[0.0028185034,0.00024160142,0.05161129,0.00017796663,0.0001728785,0.0000017391264,0.00026593037,0.796891,0.00005465867,0.14757511,0.00004095261,0.00014837008],"about_ca_topic_score_codex":0.0000461278,"about_ca_topic_score_gemma":0.000003428153,"teacher_disagreement_score":0.510868,"about_ca_system_score_codex":0.00026610712,"about_ca_system_score_gemma":0.0001134221,"threshold_uncertainty_score":0.5447669},"labels":[],"label_agreement":null},{"id":"W4409795693","doi":"10.61091/jcmcc127b-390","title":"A corpus-based multidimensional computational analysis of episodic variation in Chinese relational clauses","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Variation (astronomy); Computer science; Natural language processing; Artificial intelligence","score_opus":0.013303833602654884,"score_gpt":0.2963304717268345,"score_spread":0.28302663812417966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95264035,0.0004178478,0.039105833,0.00011069028,0.006605997,0.00022085999,0.000010639214,0.000016514163,0.000871261],"genre_scores_gemma":[0.99438053,0.000005117979,0.005269163,0.000054999608,0.00024099532,0.0000035739765,0.00002054625,0.0000143851,0.000010676251],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970949,0.0002868512,0.0015451951,0.00023268568,0.00062587636,0.00021448117],"domain_scores_gemma":[0.9952877,0.00236685,0.0013209148,0.00017660462,0.0007687534,0.000079149424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017342694,0.00023235501,0.0009150976,0.0012939791,0.0001267959,0.000040682302,0.00018417722,0.00020384845,0.0000667126],"category_scores_gemma":[0.00064426835,0.00020738562,0.00029954495,0.0016681916,0.0000919767,0.00011866807,0.000065983426,0.00038710522,0.0000016945446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047105798,0.001754178,0.018065063,0.000103110135,0.0011564529,0.000021187965,0.00195428,0.006169872,0.00035360423,0.9692142,0.000058862286,0.0006781473],"study_design_scores_gemma":[0.011635076,0.00044541984,0.21995094,0.00039423758,0.0012867056,0.00001650315,0.0003573017,0.1027617,0.00006875019,0.6627222,0.000065067274,0.00029611535],"about_ca_topic_score_codex":0.000050251878,"about_ca_topic_score_gemma":0.000003649888,"teacher_disagreement_score":0.306492,"about_ca_system_score_codex":0.00009311572,"about_ca_system_score_gemma":0.00022808622,"threshold_uncertainty_score":0.845694},"labels":[],"label_agreement":null},{"id":"W4409795694","doi":"10.61091/jcmcc127b-374","title":"Study on the effect of asphalt pretreatment on the structural and electrochemical properties of porous carbon based on finite element analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Finite element method; Porosity; Asphalt; Electrochemistry; Materials science; Carbon fibers; Composite material; Structural engineering; Chemistry; Engineering; Electrode; Physical chemistry; Composite number","score_opus":0.010780941456049607,"score_gpt":0.24450726208384962,"score_spread":0.23372632062780002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997353,0.000113021066,0.00018812346,0.00007284106,0.0012920033,0.0007238229,8.3105783e-7,0.000012227602,0.00024412453],"genre_scores_gemma":[0.9998144,0.000006804688,0.000033377346,0.000009592459,0.000110758585,0.000009814809,6.2638924e-7,0.000013614171,0.0000010452576],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99798524,0.00021440032,0.0008005797,0.00012575788,0.0006998869,0.00017413263],"domain_scores_gemma":[0.9975804,0.0014703433,0.0005033864,0.00024923412,0.00016019744,0.000036453355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017311737,0.0002460005,0.0006268524,0.00021756887,0.00012312432,0.00004743976,0.00021518217,0.00006277338,0.0000020383775],"category_scores_gemma":[0.0003355433,0.00013260811,0.000120074445,0.0004023765,0.00005245554,0.0000322609,0.000051960622,0.0003269816,8.5163656e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009218526,0.0072507486,0.08121204,0.005750126,0.024741948,0.00003684948,0.0230658,0.30732378,0.046505347,0.48841926,0.00028520593,0.006190357],"study_design_scores_gemma":[0.0069485256,0.01197112,0.0017855088,0.0010277552,0.0018430687,0.0000016585806,0.0006448454,0.7412999,0.22332835,0.01089396,0.0000035643716,0.00025169403],"about_ca_topic_score_codex":0.0000038270146,"about_ca_topic_score_gemma":2.9568642e-7,"teacher_disagreement_score":0.4775253,"about_ca_system_score_codex":0.000119326294,"about_ca_system_score_gemma":0.000040368108,"threshold_uncertainty_score":0.54076016},"labels":[],"label_agreement":null},{"id":"W4409795695","doi":"10.61091/jcmcc127b-458","title":"Fine Structural Characterization of Construction Asphalt Mixtures Based on Image Processing Techniques","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Asphalt; Characterization (materials science); Image processing; Image (mathematics); Computer science; Process engineering; Materials science; Artificial intelligence; Engineering; Composite material; Nanotechnology","score_opus":0.007049306328088949,"score_gpt":0.25185643193796636,"score_spread":0.2448071256098774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9568392,0.00006020717,0.035683695,0.00005022659,0.006338621,0.0002794207,0.000002532203,0.00007539715,0.00067070744],"genre_scores_gemma":[0.98985106,0.000009806981,0.00965769,0.000009590998,0.00044205165,0.0000021591025,0.000005483688,0.00002086559,0.0000013036084],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983123,0.00004515099,0.00093574537,0.00010789402,0.00043469368,0.00016420353],"domain_scores_gemma":[0.9985081,0.00014255769,0.00067229324,0.0001278483,0.0005018049,0.000047417827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072858593,0.00020507594,0.0004602448,0.0003223133,0.0001269855,0.00009325165,0.00016583984,0.00012286933,0.000006128784],"category_scores_gemma":[0.0001425985,0.00018907186,0.00007762985,0.00032332703,0.000066167086,0.00027574072,0.000035249945,0.00028643996,2.461364e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005114552,0.0006467888,0.001853347,0.006854159,0.00031839672,0.00001110881,0.0015121733,0.00397493,0.5248659,0.2805155,0.00019715128,0.1787391],"study_design_scores_gemma":[0.0032491924,0.00060120923,0.0008747525,0.002077277,0.00014384204,0.000013320788,0.00007816148,0.59996104,0.3022823,0.0903583,0.00006490438,0.00029569454],"about_ca_topic_score_codex":6.0992915e-7,"about_ca_topic_score_gemma":5.5505826e-8,"teacher_disagreement_score":0.5959861,"about_ca_system_score_codex":0.0000968046,"about_ca_system_score_gemma":0.00009809375,"threshold_uncertainty_score":0.77101266},"labels":[],"label_agreement":null},{"id":"W4409795697","doi":"10.61091/jcmcc127b-481","title":"Research on structural surface feature refinement method based on fractal geometry in industrial design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fractal; Feature (linguistics); Geometry; Surface (topology); Computer science; Engineering drawing; Mathematics; Engineering; Mathematical analysis","score_opus":0.060593169185694594,"score_gpt":0.3609866482770156,"score_spread":0.300393479091321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9157661,0.00011656746,0.07043663,0.00049569004,0.010629505,0.0006025319,0.0000031723505,0.000075056494,0.0018747133],"genre_scores_gemma":[0.98430073,0.0000056258655,0.015119282,0.00003201253,0.0005032993,0.000002819742,0.0000017337992,0.000026670716,0.000007813095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978141,0.0002476061,0.0007316252,0.00019014343,0.00070632703,0.00031018915],"domain_scores_gemma":[0.9964323,0.0026680247,0.00020313446,0.00024584014,0.0003427102,0.00010798851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032985052,0.00022729539,0.0004961709,0.00065275875,0.00020390596,0.00017660265,0.00029512058,0.00027250947,0.0000060483203],"category_scores_gemma":[0.00046388461,0.00020805086,0.00009017157,0.000907514,0.000032584707,0.00006333364,0.00006039158,0.0013828427,0.0000015204835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022721452,0.00024863196,0.00008917257,0.00007987369,0.00005350668,0.0000072727207,0.00019853657,0.7224491,0.00029251503,0.27248466,0.0014108745,0.0024586327],"study_design_scores_gemma":[0.005128284,0.00043156047,0.000102755504,0.0005540204,0.000025548326,0.000003167802,0.00017881076,0.8842974,0.0012667492,0.10721567,0.0006099581,0.00018608679],"about_ca_topic_score_codex":0.000006013073,"about_ca_topic_score_gemma":1.83707e-7,"teacher_disagreement_score":0.165269,"about_ca_system_score_codex":0.00027549785,"about_ca_system_score_gemma":0.00015790858,"threshold_uncertainty_score":0.8484068},"labels":[],"label_agreement":null},{"id":"W4409795698","doi":"10.61091/jcmcc127b-389","title":"A Strip Pooling Attention Network for Urban Scene Images Segmentation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pooling; Segmentation; Artificial intelligence; Computer vision; Computer science; Pattern recognition (psychology); Cartography; Geography","score_opus":0.007923482192179447,"score_gpt":0.24892945760492918,"score_spread":0.24100597541274973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70072216,0.001094071,0.26108864,0.00008421937,0.035778258,0.0004829449,0.000003793576,0.00019863958,0.0005472697],"genre_scores_gemma":[0.9811919,0.00006423842,0.01696253,0.000010615584,0.0017251666,0.0000034483646,0.0000042263273,0.000028515527,0.000009415107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99858314,0.00003198515,0.00078034727,0.000116305426,0.0002345755,0.0002536204],"domain_scores_gemma":[0.99877995,0.00035883154,0.00040602154,0.000099283636,0.00029011437,0.00006577076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008761211,0.00019442438,0.00042840393,0.00017147625,0.00024722976,0.00018885394,0.00014611584,0.00013717788,0.0000012719938],"category_scores_gemma":[0.00013658628,0.00018828429,0.00013899576,0.00026949105,0.00002350387,0.00021267826,0.000039667168,0.00026393577,4.8620143e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041059477,0.0010312792,0.0016592254,0.003616008,0.0014037956,0.000021589445,0.0011205007,0.03567462,0.060016762,0.81471455,0.03460591,0.04572515],"study_design_scores_gemma":[0.009674408,0.00062606664,0.0010463379,0.0020806515,0.00056451367,0.00005760316,0.0004901681,0.4065267,0.009783117,0.5662042,0.00233388,0.0006123632],"about_ca_topic_score_codex":0.0000017292148,"about_ca_topic_score_gemma":8.8571134e-8,"teacher_disagreement_score":0.37085208,"about_ca_system_score_codex":0.00011418245,"about_ca_system_score_gemma":0.000045480832,"threshold_uncertainty_score":0.76780105},"labels":[],"label_agreement":null},{"id":"W4409795699","doi":"10.61091/jcmcc127b-433","title":"Optimized scheduling of off-grid wind power hydrogen production system considering battery and electrolyzer degradation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hydrogen production; Wind power; Grid; Automotive engineering; Electrolysis; Battery (electricity); Scheduling (production processes); Computer science; Environmental science; Degradation (telecommunications); Power (physics); Hydrogen; Electrical engineering; Engineering; Operations management; Electrode; Chemistry; Telecommunications; Physics","score_opus":0.008421918028545295,"score_gpt":0.22313066202337795,"score_spread":0.21470874399483264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97845846,0.0011917884,0.0024875011,0.00009692321,0.01630286,0.00026847047,9.120727e-7,0.000051922107,0.0011411359],"genre_scores_gemma":[0.9950704,0.00004552297,0.0038162242,0.000008593654,0.0009947518,0.0000020372258,0.0000017238549,0.000039983668,0.00002076171],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99685675,0.00024404777,0.0017175735,0.0002936143,0.00055474805,0.0003332535],"domain_scores_gemma":[0.9968244,0.00055276277,0.0015611687,0.00028388997,0.00064819504,0.00012961858],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020863174,0.000327572,0.001123969,0.0004162518,0.00025280952,0.0001390054,0.00023727314,0.00019512503,0.0000029011032],"category_scores_gemma":[0.0006940264,0.00030345004,0.00016057432,0.0004034696,0.000098107084,0.0002640331,0.00016798283,0.0003729086,5.5602135e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048967457,0.0005297549,0.0005893596,0.0018121399,0.0010907983,0.00003991191,0.0011083222,0.03949588,0.042568497,0.90987873,0.00013149175,0.0022654375],"study_design_scores_gemma":[0.0457013,0.002794542,0.00039884826,0.019506652,0.0022940645,0.0026264316,0.008454935,0.2448003,0.41279042,0.25359544,0.00421716,0.0028199083],"about_ca_topic_score_codex":0.00006030571,"about_ca_topic_score_gemma":9.901339e-7,"teacher_disagreement_score":0.65628326,"about_ca_system_score_codex":0.00017787493,"about_ca_system_score_gemma":0.0002475365,"threshold_uncertainty_score":0.99994177},"labels":[],"label_agreement":null},{"id":"W4409795701","doi":"10.61091/jcmcc127b-423","title":"Research on multi-parameter cooperative control of smart opening and closing windows based on feed-forward neural network","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Elevator Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Closing (real estate); Artificial neural network; Computer science; Control (management); Artificial intelligence; Business","score_opus":0.02076374815402757,"score_gpt":0.2860921074207483,"score_spread":0.2653283592667207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630941,0.0007880169,0.021332342,0.00013555515,0.012581838,0.0008163973,0.0000044834833,0.00005003667,0.0011972089],"genre_scores_gemma":[0.99810654,0.000010213007,0.0010789036,0.00004669279,0.00070440077,0.0000061022856,4.5354093e-7,0.0000404477,0.000006238154],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971327,0.00033654284,0.0011940601,0.00022238979,0.0006543365,0.00045995356],"domain_scores_gemma":[0.99544173,0.0031179572,0.00041533454,0.00023614732,0.00063014636,0.00015866212],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00299843,0.0003264285,0.0010891118,0.0003614338,0.00036167874,0.00025191027,0.000299709,0.00020362857,0.000002222617],"category_scores_gemma":[0.0004985533,0.000280928,0.00015525032,0.0004671829,0.00012318237,0.00012246183,0.00008618634,0.0009773158,7.0819283e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018248495,0.0010317093,0.002195469,0.001403691,0.0009509909,0.00006604599,0.0013218897,0.19783351,0.0033242484,0.78309166,0.0009392775,0.006016639],"study_design_scores_gemma":[0.014418658,0.0022420583,0.00028913197,0.002729017,0.00012649345,0.000014109433,0.00036803985,0.95674694,0.0016469462,0.020816231,0.00026457454,0.00033778924],"about_ca_topic_score_codex":0.000008389142,"about_ca_topic_score_gemma":7.2262367e-7,"teacher_disagreement_score":0.76227546,"about_ca_system_score_codex":0.00010752144,"about_ca_system_score_gemma":0.00010386913,"threshold_uncertainty_score":0.9999643},"labels":[],"label_agreement":null},{"id":"W4409795702","doi":"10.61091/jcmcc127b-407","title":"Calculation and Driving Mechanism of Spatio – Temporal Evolution of Rural Occupational and Residential Functional Efficiency in Jilin Province Based on Geographic Detection Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Geography; Environmental planning; Economic geography; Physics","score_opus":0.010665930573229995,"score_gpt":0.2415296498937263,"score_spread":0.23086371932049632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9303075,0.00009097418,0.067491606,0.00007875057,0.0017477564,0.00020068017,4.24307e-7,0.0000052607966,0.00007704928],"genre_scores_gemma":[0.99897146,0.000030583946,0.00084195216,0.000002707699,0.000143044,0.0000013032763,0.0000012525347,0.000005298417,0.0000023740422],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982646,0.00013095133,0.0007217327,0.000113517744,0.00063544605,0.0001337392],"domain_scores_gemma":[0.99878013,0.00033862735,0.00056312635,0.00005742321,0.00020903606,0.000051661133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017211917,0.00011592995,0.00030078396,0.0004108696,0.00025003744,0.000043673128,0.00007966021,0.0001137701,0.0000016140264],"category_scores_gemma":[0.00029248826,0.000114670234,0.000057031673,0.00026512422,0.000120683304,0.00015577313,0.000053900872,0.00016607669,4.215917e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040293008,0.0004023659,0.04086042,0.00017131463,0.000035228266,0.000001448167,0.0012051796,0.011173971,0.00075473357,0.94377697,0.0000038315366,0.0012116032],"study_design_scores_gemma":[0.0032417113,0.00036855123,0.035406113,0.0009535131,0.00005426873,0.000002471783,0.0010635224,0.50397825,0.00036480612,0.4543859,0.000011543234,0.00016931453],"about_ca_topic_score_codex":0.00023443188,"about_ca_topic_score_gemma":0.000050653383,"teacher_disagreement_score":0.49280432,"about_ca_system_score_codex":0.00014307152,"about_ca_system_score_gemma":0.00029318454,"threshold_uncertainty_score":0.46761164},"labels":[],"label_agreement":null},{"id":"W4409795704","doi":"10.61091/jcmcc127b-475","title":"Oscillation cessation due to removal of Na+ current restored by external noise stimulation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Electrostatic Discharge in Electronics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Noise (video); Oscillation (cell signaling); Stimulation; Current (fluid); Acoustics; Medicine; Physics; Internal medicine; Computer science; Chemistry; Thermodynamics","score_opus":0.007830457755156409,"score_gpt":0.2563510610513702,"score_spread":0.24852060329621378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8617966,0.0012813689,0.12679696,0.00004411949,0.009447196,0.00027189887,0.00000386389,0.000038911356,0.0003190641],"genre_scores_gemma":[0.99479055,0.00005304274,0.004753164,0.000006440822,0.00035751716,0.0000017710956,0.0000040122923,0.000028701055,0.0000047745175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99777365,0.000067504036,0.0011713129,0.00014389349,0.00056956336,0.00027407426],"domain_scores_gemma":[0.9982651,0.00039254248,0.00054319756,0.00017543585,0.00051301793,0.00011074664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009763143,0.0002270639,0.0005775986,0.00029913758,0.00010497282,0.00009768314,0.00024594067,0.00011299027,0.0000031347813],"category_scores_gemma":[0.00038767795,0.0002324455,0.00009907254,0.00046509874,0.000030967913,0.0001890856,0.00006649133,0.00037433658,7.5677417e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029524296,0.00071447337,0.0004896192,0.0012445422,0.0002513663,0.000018206529,0.0023109468,0.01936921,0.07515007,0.8666461,0.0023230244,0.031187175],"study_design_scores_gemma":[0.0058572176,0.0008947342,0.0005198718,0.0018790172,0.0002274919,0.000098267905,0.00011610237,0.24857834,0.023191618,0.7159144,0.0022015835,0.00052134757],"about_ca_topic_score_codex":0.0000048924117,"about_ca_topic_score_gemma":3.2597964e-7,"teacher_disagreement_score":0.22920914,"about_ca_system_score_codex":0.00023223761,"about_ca_system_score_gemma":0.00012456706,"threshold_uncertainty_score":0.9478852},"labels":[],"label_agreement":null},{"id":"W4409795705","doi":"10.61091/jcmcc127b-388","title":"Quasi-periodic solutions of a non-autonomous KdV-mKdV equation with periodic unbounded conditions","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Mathematical Physics Problems","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Korteweg–de Vries equation; Mathematics; Quasi periodic; Mathematical analysis; Physics; Nonlinear system","score_opus":0.025075520809223702,"score_gpt":0.2979178778044004,"score_spread":0.27284235699517667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5600793,0.00018711576,0.43104917,0.00026878514,0.0041936487,0.0009577414,0.000012870261,0.00008311558,0.0031683003],"genre_scores_gemma":[0.9612692,0.000011369359,0.03829948,0.000020516296,0.00030414018,0.000012590528,0.0000038915377,0.00005187105,0.000026934269],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962617,0.00013091117,0.0020143194,0.00029604379,0.00080815423,0.00048887],"domain_scores_gemma":[0.9937535,0.0022305045,0.002154368,0.00048289585,0.0011892761,0.00018945099],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001597914,0.00044017824,0.0014449155,0.00040150524,0.00056194636,0.00018798903,0.00048932404,0.00021289082,0.000013306341],"category_scores_gemma":[0.001190148,0.00037755308,0.00027796338,0.0007489245,0.00041731712,0.00035688595,0.0002540468,0.0006459774,0.0000025626189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009988382,0.0021970002,0.000042233652,0.0010032955,0.00029111136,0.000008939896,0.0016578191,0.000082345,0.0015067118,0.9925914,0.00023206118,0.00028721607],"study_design_scores_gemma":[0.005075431,0.0013153887,0.000032243373,0.0015096382,0.0004399729,0.000056881778,0.00089148094,0.008212721,0.0012847246,0.98076624,0.00007445184,0.00034084803],"about_ca_topic_score_codex":0.000009956337,"about_ca_topic_score_gemma":0.0000013921673,"teacher_disagreement_score":0.40118995,"about_ca_system_score_codex":0.00021978698,"about_ca_system_score_gemma":0.00062339654,"threshold_uncertainty_score":0.9998676},"labels":[],"label_agreement":null},{"id":"W4409795706","doi":"10.61091/jcmcc127b-461","title":"Short-term highway traffic speed prediction based on spatio-temporal analysis and attention mechanism","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Term (time); Mechanism (biology); Computer science; Transport engineering; Engineering","score_opus":0.008171756608160134,"score_gpt":0.2273625843024645,"score_spread":0.21919082769430437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79704314,0.00005649143,0.19296393,0.00006239518,0.008315445,0.00028495843,0.0000044838653,0.00057787116,0.0006912592],"genre_scores_gemma":[0.99789375,0.00004327895,0.0017101652,0.000013456569,0.0003025707,0.0000020835046,0.0000095548185,0.00002050894,0.0000046130067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983793,0.000052829975,0.0007978737,0.00017631038,0.00040214122,0.00019154257],"domain_scores_gemma":[0.9991686,0.0001643839,0.00022783331,0.00017449955,0.00016109037,0.000103599195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008290159,0.00024110834,0.0005462388,0.0007759036,0.00015973278,0.00018317644,0.00016131281,0.0001541443,0.0000028209254],"category_scores_gemma":[0.00004966434,0.00023343183,0.00017689547,0.00055157894,0.00003752629,0.0001444946,0.000053686206,0.00032285237,3.1519326e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034843042,0.00153131,0.004728779,0.0013210424,0.002837918,0.000049004775,0.00067870814,0.026626438,0.0016970917,0.9249555,0.0038703221,0.03135549],"study_design_scores_gemma":[0.0026711815,0.00046419326,0.0034792246,0.0004128989,0.0009158409,0.0000062218846,0.00008670027,0.9632675,0.0006098503,0.027637403,0.00020272999,0.00024625423],"about_ca_topic_score_codex":0.0000014436691,"about_ca_topic_score_gemma":7.1352207e-7,"teacher_disagreement_score":0.93664104,"about_ca_system_score_codex":0.00010049237,"about_ca_system_score_gemma":0.000024556195,"threshold_uncertainty_score":0.9519074},"labels":[],"label_agreement":null},{"id":"W4409795708","doi":"10.61091/jcmcc127b-462","title":"A Dynamic Study of Art Image Digitization Based on Metadata","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Digitization; Metadata; Computer science; Information retrieval; Image (mathematics); Computer graphics (images); World Wide Web; Data science; Computer vision","score_opus":0.011779812170842969,"score_gpt":0.28293533794626147,"score_spread":0.2711555257754185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6976659,0.000059945192,0.28337702,0.00028494134,0.014405895,0.00056078,0.000002314854,0.00006122684,0.0035819456],"genre_scores_gemma":[0.992489,0.0000042754737,0.007354137,0.000029901246,0.000087922344,0.0000018854196,0.0000011471978,0.00001288242,0.000018867395],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99755746,0.000110322806,0.0011061694,0.0002448791,0.00075583154,0.00022532363],"domain_scores_gemma":[0.99717534,0.00082783715,0.00087512936,0.0004404428,0.0005649343,0.00011630863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010948678,0.00023667718,0.0006988148,0.00033472345,0.0001346851,0.0005085105,0.00085336686,0.00007584208,0.0000011500534],"category_scores_gemma":[0.0004620153,0.00020195212,0.00012865229,0.0006822369,0.00005445146,0.0007338672,0.0003393719,0.0002741598,0.0000017105156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001075261,0.0049723135,0.00016918784,0.0002736033,0.00016478951,0.000034951438,0.0007064116,0.00014497893,0.000338031,0.989133,0.00024402144,0.0037111905],"study_design_scores_gemma":[0.014471571,0.007411467,0.00063642336,0.0018190691,0.00023088178,0.000023120097,0.0007787947,0.309125,0.001747369,0.66259825,0.00063680497,0.00052126945],"about_ca_topic_score_codex":0.0000017661159,"about_ca_topic_score_gemma":1.826239e-7,"teacher_disagreement_score":0.32653478,"about_ca_system_score_codex":0.0000578167,"about_ca_system_score_gemma":0.00018171269,"threshold_uncertainty_score":0.8235369},"labels":[],"label_agreement":null},{"id":"W4409795714","doi":"10.61091/jcmcc127b-396","title":"Study on the influencing factors and measurement of high quality development level of tourism industry in Guizhou","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Tourism; Quality (philosophy); Marketing; Geography","score_opus":0.11810651232079113,"score_gpt":0.327006336529007,"score_spread":0.2088998242082159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964851,0.00005977016,0.00010387961,0.00029080795,0.0021535398,0.00032736032,4.6924447e-7,0.0000035897096,0.00057548576],"genre_scores_gemma":[0.99952066,0.000015695941,0.00033775315,0.000012381642,0.00009805943,0.000001769906,1.07099446e-7,0.0000064726855,0.0000071168147],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9968921,0.0003194268,0.0012467614,0.00013440334,0.0012149548,0.00019233234],"domain_scores_gemma":[0.9976738,0.00090246653,0.0009418302,0.00012681857,0.00028369183,0.00007140889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062405583,0.0001695355,0.0005945873,0.00018901375,0.0002624322,0.000048928097,0.00029993846,0.00019100406,0.0000027067817],"category_scores_gemma":[0.000980776,0.000120683726,0.00005905205,0.0002912454,0.00014861427,0.000078678444,0.00017532714,0.0005259946,1.0265958e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000992358,0.0015651501,0.12637624,0.00014060197,0.000245045,0.0000056324643,0.042390674,0.000037831167,0.00028339005,0.82768565,0.00008586738,0.0010846831],"study_design_scores_gemma":[0.004598313,0.0005033942,0.66069704,0.001463917,0.00007714898,0.0000010035156,0.04669136,0.000013143144,0.0037258216,0.28158805,0.00034533945,0.00029547728],"about_ca_topic_score_codex":0.00028115232,"about_ca_topic_score_gemma":0.000021112273,"teacher_disagreement_score":0.54609764,"about_ca_system_score_codex":0.0002323952,"about_ca_system_score_gemma":0.0004085084,"threshold_uncertainty_score":0.49213395},"labels":[],"label_agreement":null},{"id":"W4409795719","doi":"10.61091/jcmcc127b-372","title":"Security Analysis and Signature Algorithm Design of Gegami’s Identity-Based Chameleon Signature Scheme under Quantum Attack Resistance","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Signature (topology); Merkle signature scheme; Digital Signature Algorithm; Scheme (mathematics); Identity (music); Ring signature; Algorithm; ElGamal signature scheme; Computer science; Schnorr signature; Blind signature; Digital signature; Computer security; Mathematics; Physics; Hash function","score_opus":0.012463662024244714,"score_gpt":0.26915101938875874,"score_spread":0.25668735736451403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795719","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059063148,0.0025511347,0.9338001,0.00024371274,0.003909729,0.0002949306,0.000012231888,0.000046966074,0.000078049685],"genre_scores_gemma":[0.8658837,0.000109461864,0.13367574,0.000067597786,0.000240845,0.0000018345738,0.0000037482248,0.000015452022,0.0000016323993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99645925,0.00034796784,0.0013475488,0.0004690653,0.0009772402,0.00039892536],"domain_scores_gemma":[0.99524784,0.0014646002,0.001496672,0.0006031378,0.000983586,0.00020417871],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029570875,0.00040817255,0.0012729907,0.00090816297,0.00035482243,0.0004964384,0.0011597928,0.00037996806,0.0000030457804],"category_scores_gemma":[0.00036727253,0.00037974233,0.0003769524,0.0029117826,0.00020202306,0.0007699631,0.0004983472,0.0009399532,2.9123328e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009928533,0.00060334156,0.00015279329,0.000398884,0.0006449951,0.000020803192,0.0005322292,0.00023047416,0.00052653224,0.99605364,0.000336686,0.00040036096],"study_design_scores_gemma":[0.003007069,0.00030789574,0.00027756527,0.00046722498,0.00042444532,0.000007719756,0.00014740147,0.17877786,0.0012071832,0.81484556,0.00019721955,0.00033286228],"about_ca_topic_score_codex":0.000010828938,"about_ca_topic_score_gemma":0.0000031254094,"teacher_disagreement_score":0.8068205,"about_ca_system_score_codex":0.0000700306,"about_ca_system_score_gemma":0.0002918389,"threshold_uncertainty_score":0.9998655},"labels":[],"label_agreement":null},{"id":"W4409795724","doi":"10.61091/jcmcc127b-445","title":"The Construction of Wushu Cultural Communication System Driven by Intelligent Technology in the Age of Big Data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Big data; Data science; Computer science; Engineering; Data mining","score_opus":0.025880879666955278,"score_gpt":0.2675150243711574,"score_spread":0.24163414470420208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98239446,0.00083673623,0.0025873086,0.0047178315,0.0067533394,0.00043706642,0.0000035478051,0.000035993966,0.0022337364],"genre_scores_gemma":[0.99903864,0.000076354474,0.0006014261,0.00002797061,0.00023483972,0.0000023235289,0.000009644453,0.0000073262345,0.0000015057782],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982514,0.00005113472,0.001165502,0.00011004584,0.00027417348,0.00014776026],"domain_scores_gemma":[0.9968096,0.00053780765,0.0014700011,0.0005730046,0.0006048163,0.000004762454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018832197,0.00013593257,0.00042948808,0.0003570103,0.00030884778,0.00013600949,0.0013935117,0.00014810031,3.947981e-7],"category_scores_gemma":[0.0006068216,0.000088067005,0.000057490444,0.0011603303,0.00046066818,0.0002212734,0.0006162588,0.00046124854,3.9063798e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021054788,0.00017778693,0.0020557868,0.0002084337,0.00006923622,0.0000014489478,0.00013329151,0.0000032901692,0.00035250979,0.992662,0.0007410526,0.0035741217],"study_design_scores_gemma":[0.0024103671,0.00010263001,0.00029292406,0.0013172879,0.0002219484,0.000029809255,0.019412743,0.004136844,0.0007286127,0.9625605,0.0086111175,0.0001752502],"about_ca_topic_score_codex":0.0000639992,"about_ca_topic_score_gemma":0.000006362542,"teacher_disagreement_score":0.030101521,"about_ca_system_score_codex":0.000036442267,"about_ca_system_score_gemma":0.00004502796,"threshold_uncertainty_score":0.3591268},"labels":[],"label_agreement":null},{"id":"W4409795736","doi":"10.61091/jcmcc127b-409","title":"Design and practice of ideological and political education of computer application basic course in sports colleges and universities based on the introduction of CNN models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Course (navigation); Ideology; Politics; Mathematics education; Computer science; Sociology; Engineering ethics; Pedagogy; Political science; Engineering; Psychology; Law; Aerospace engineering","score_opus":0.016703010103977844,"score_gpt":0.3005374101578644,"score_spread":0.28383440005388655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97705704,0.00016985837,0.013902327,0.0059515242,0.0013154492,0.0003678809,8.3322493e-7,0.000004608968,0.0012304687],"genre_scores_gemma":[0.9958,0.00004065589,0.0038243793,0.000061004954,0.00026530155,0.0000013044854,4.145153e-7,0.0000029724379,0.0000039507345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99846935,0.00043636814,0.00052953104,0.000114769464,0.00031469858,0.00013527398],"domain_scores_gemma":[0.99497694,0.0037951835,0.0005215954,0.00007992,0.0005536345,0.000072710005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002709178,0.00009384868,0.00035871213,0.00013868071,0.00013322491,0.000029197854,0.00009887608,0.00011665467,0.0000019172096],"category_scores_gemma":[0.00080874475,0.00007122073,0.000029362534,0.00023604567,0.0005271865,0.00013289781,0.00005534415,0.00017696017,1.7607682e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016241086,0.00054767146,0.00046394087,0.00011955118,0.000013359144,3.899459e-7,0.0015847508,0.00013350917,0.00004240305,0.9959588,0.00004470724,0.00092850707],"study_design_scores_gemma":[0.0010279795,0.0005521784,0.00216956,0.00028363272,0.0001092733,0.000006668498,0.0085808635,0.021536162,0.00021680896,0.96529937,0.00013053807,0.000086965],"about_ca_topic_score_codex":0.000120598685,"about_ca_topic_score_gemma":5.661419e-7,"teacher_disagreement_score":0.030659428,"about_ca_system_score_codex":0.000053375832,"about_ca_system_score_gemma":0.00041986935,"threshold_uncertainty_score":0.2904297},"labels":[],"label_agreement":null},{"id":"W4409798084","doi":"10.61091/jcmcc127b-366","title":"Comprehensive assessment model and method of international trade market competitiveness based on principal component analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Suzhou Vocational University","keywords":"Principal component analysis; Component (thermodynamics); International trade; Principal (computer security); Business; Industrial organization; Economics; Computer science; Artificial intelligence","score_opus":0.01638738696164348,"score_gpt":0.28425188543664986,"score_spread":0.2678644984750064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77362716,0.00018604257,0.18761425,0.0017217946,0.011375023,0.00069131725,0.000020746664,0.000063750136,0.02469993],"genre_scores_gemma":[0.9895181,0.000016550352,0.009794336,0.00022478885,0.00041627523,0.000002552601,0.0000062239783,0.000016943595,0.0000042337215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997588,0.000090338996,0.0010620833,0.00028026768,0.0007388357,0.00024050316],"domain_scores_gemma":[0.99731886,0.0008046462,0.0011711336,0.0002099915,0.00045055602,0.000044792283],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012665933,0.0003173807,0.0010613948,0.00077376043,0.00019620695,0.00026473732,0.000434819,0.00011899239,0.000016986467],"category_scores_gemma":[0.00011263009,0.00029083193,0.00029781953,0.00072691863,0.00011130345,0.0002499976,0.00029926948,0.0003575083,2.2723167e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031162312,0.0010180667,0.010144708,0.0005866787,0.00076627464,0.000014467177,0.000060409788,0.01270219,0.0003522556,0.9733415,0.00003588759,0.0006658916],"study_design_scores_gemma":[0.0053731543,0.00014367589,0.038803533,0.0006956244,0.0009652234,0.0000067379424,0.00033756878,0.83761626,0.00012209521,0.113194495,0.0024324204,0.00030920096],"about_ca_topic_score_codex":0.000022282356,"about_ca_topic_score_gemma":7.0308346e-7,"teacher_disagreement_score":0.86014706,"about_ca_system_score_codex":0.000083778534,"about_ca_system_score_gemma":0.00011246451,"threshold_uncertainty_score":0.9999544},"labels":[],"label_agreement":null},{"id":"W4409798101","doi":"10.61091/jcmcc127b-357","title":"Research on network security protection model of multimedia fusion technology based on fuzzy inference algorithm in Internet of Things environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"The Internet; Computer science; Inference; Fuzzy inference system; Multimedia; Fuzzy logic; Fuzzy inference; Adaptive neuro fuzzy inference system; Internet of Things; Algorithm; Artificial intelligence; Computer security; World Wide Web; Fuzzy control system","score_opus":0.02556180875166869,"score_gpt":0.280985070818748,"score_spread":0.2554232620670793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9654431,0.00004406974,0.02723772,0.0010316165,0.002912227,0.0005961275,7.6267e-7,0.00003707961,0.00269731],"genre_scores_gemma":[0.9941867,0.000009258466,0.005493953,0.000051681363,0.0002342788,0.000006673802,0.0000014111183,0.000013506744,0.0000025490642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979504,0.00004391289,0.0010254794,0.00019110246,0.0005338515,0.0002553075],"domain_scores_gemma":[0.99775475,0.0004394296,0.0009925837,0.0002479342,0.0005524644,0.000012810377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025275615,0.00018283038,0.00055246404,0.001526487,0.00013533865,0.00005098086,0.00041174036,0.0002975819,0.000003674899],"category_scores_gemma":[0.0005976671,0.00016749733,0.000077212506,0.001294811,0.00022079602,0.00019185658,0.0003473817,0.0010528491,0.0000014437713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014478613,0.0011692151,0.00070183125,0.00028146285,0.000034147437,0.0000033955498,0.0001432827,0.002376554,0.00048824603,0.98540443,0.0001041049,0.009148551],"study_design_scores_gemma":[0.0017115135,0.00025878026,0.0000556766,0.0010008251,0.000019847603,4.961857e-7,0.00017518335,0.42450318,0.0010062725,0.57112145,0.000065242966,0.00008156534],"about_ca_topic_score_codex":0.00006307768,"about_ca_topic_score_gemma":8.350236e-7,"teacher_disagreement_score":0.42212662,"about_ca_system_score_codex":0.00008890892,"about_ca_system_score_gemma":0.00008752439,"threshold_uncertainty_score":0.6830343},"labels":[],"label_agreement":null},{"id":"W4409798198","doi":"10.61091/jcmcc127b-371","title":"Design and mental health enhancement strategies of students’ emotional intervention model in physical education supported by intelligent algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Physical Education and Training Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mental health; Intervention (counseling); Psychology; Applied psychology; Computer science; Algorithm; Medical education; Artificial intelligence; Psychotherapist; Medicine; Psychiatry","score_opus":0.04305783191435281,"score_gpt":0.4361584897386109,"score_spread":0.39310065782425807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92979723,0.0004750389,0.062237717,0.0006843861,0.0059001003,0.00065215986,0.0000033187239,0.000009999502,0.00024002025],"genre_scores_gemma":[0.99648076,0.00012774928,0.003108648,0.000046163896,0.0001836701,0.000009910822,0.000005561627,0.00000940788,0.000028154229],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977997,0.0002762051,0.0011628494,0.00014965408,0.00039839113,0.00021323112],"domain_scores_gemma":[0.9980161,0.00048573784,0.00097117055,0.00008556078,0.00035376716,0.00008761912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015384535,0.00016260167,0.0005904524,0.00017891836,0.0002618037,0.00003781524,0.00015812111,0.00006590553,0.0000034683283],"category_scores_gemma":[0.0001351923,0.00014579513,0.00007169832,0.00019405398,0.00009582371,0.00013603775,0.00014593285,0.00040445887,3.8900114e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019141304,0.00843876,0.0011455321,0.0013275942,0.0002523506,4.077743e-7,0.03649712,0.000119685785,0.0010357286,0.93739754,0.0026648173,0.01092904],"study_design_scores_gemma":[0.00691644,0.0012589282,0.0011659525,0.0040896186,0.00006683421,0.0000023155428,0.041356094,0.052855022,0.00073553604,0.8911501,0.0001735812,0.00022958712],"about_ca_topic_score_codex":0.000033646753,"about_ca_topic_score_gemma":6.9403256e-7,"teacher_disagreement_score":0.06668347,"about_ca_system_score_codex":0.00019486772,"about_ca_system_score_gemma":0.00078810845,"threshold_uncertainty_score":0.5945353},"labels":[],"label_agreement":null},{"id":"W4409798308","doi":"10.61091/jcmcc127b-369","title":"Optimization of Identification and Intervention Path of Psychological Problems of Secondary School Students in Cultural Education Based on Dijkstra’s Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dijkstra's algorithm; Identification (biology); Path (computing); Intervention (counseling); Computer science; Algorithm; Psychology; Mathematics education; Shortest path problem; Theoretical computer science; Programming language; Graph","score_opus":0.017595000443085547,"score_gpt":0.3411118303081931,"score_spread":0.32351682986510755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8557716,0.0002691732,0.13894132,0.00015720268,0.004393113,0.00027732385,0.000001746127,0.00000965836,0.00017888327],"genre_scores_gemma":[0.9774455,0.00004077097,0.022430738,0.000010211903,0.000058687267,0.0000031503544,0.0000025976578,0.000004167227,0.0000041705034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980558,0.00013709269,0.0011932857,0.0001678721,0.00034747322,0.00009844959],"domain_scores_gemma":[0.99751085,0.00030231063,0.0013487659,0.00019256656,0.00060340174,0.00004208952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013909756,0.00012331174,0.00041344794,0.0004046028,0.000050928214,0.00005035769,0.00045294713,0.0001474252,0.0000025218571],"category_scores_gemma":[0.00037431074,0.00011070914,0.00007726986,0.00041824396,0.000091171016,0.00021896436,0.000115637864,0.00028247866,8.455893e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009962886,0.0060686674,0.008244958,0.0009781927,0.000074226,0.000001149298,0.001068303,0.0015991413,0.0012527709,0.9524766,0.0000735712,0.028062772],"study_design_scores_gemma":[0.007985972,0.0024396705,0.047847923,0.004239231,0.000092120565,0.000024906292,0.0010473742,0.1497692,0.0049199876,0.78131735,0.000023989713,0.00029225645],"about_ca_topic_score_codex":0.000010266704,"about_ca_topic_score_gemma":2.2557256e-7,"teacher_disagreement_score":0.17115925,"about_ca_system_score_codex":0.000045364523,"about_ca_system_score_gemma":0.0001880554,"threshold_uncertainty_score":0.45145875},"labels":[],"label_agreement":null},{"id":"W4409798313","doi":"10.61091/jcmcc127b-362","title":"Research on regional economic high-quality development and fiscal policy regulation path under big data computing analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path (computing); Big data; Quality (philosophy); Regional science; Economics; Macroeconomics; Computer science; Geography; Data mining","score_opus":0.0991302638694145,"score_gpt":0.3563786591846247,"score_spread":0.2572483953152102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835036,0.00006049826,0.0063682734,0.0046617817,0.0034803732,0.00019589449,0.0000022436936,0.000047957677,0.0016793708],"genre_scores_gemma":[0.9950848,0.000008639933,0.0018387353,0.00024158199,0.0027656076,0.0000011522135,0.000028424583,0.000018181829,0.000012881387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973536,0.000081372564,0.00128642,0.00037232813,0.0005568167,0.00034945054],"domain_scores_gemma":[0.9968875,0.0009724744,0.0010277707,0.000557046,0.00052102807,0.00003419071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004710205,0.00024382268,0.00069516245,0.0019257355,0.0008293252,0.0005096348,0.00077092083,0.00021625905,0.0000041882986],"category_scores_gemma":[0.00059479714,0.00022789174,0.0000843505,0.0017586091,0.0002269724,0.00037304164,0.0014036519,0.0006697346,0.000004782149],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043266664,0.0002665379,0.0024744791,0.0001299782,0.00040673895,0.0000027567476,0.00007742244,0.00013509425,0.00003316639,0.9885142,0.0013844734,0.006531913],"study_design_scores_gemma":[0.0027989375,0.000079527694,0.027295677,0.00036339415,0.00027058154,0.000005690185,0.0009789701,0.015408587,0.0000718419,0.94915134,0.003279541,0.00029589204],"about_ca_topic_score_codex":0.00023871231,"about_ca_topic_score_gemma":0.0000139283475,"teacher_disagreement_score":0.039362814,"about_ca_system_score_codex":0.00018694575,"about_ca_system_score_gemma":0.00022553312,"threshold_uncertainty_score":0.92931557},"labels":[],"label_agreement":null},{"id":"W4409798336","doi":"10.61091/jcmcc127b-358","title":"Research on Deep Learning Algorithm Application and Resource Allocation Optimization in Educational Resources Big Data Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Chongqing Municipal Education Commission","keywords":"Computer science; Resource allocation; Educational resources; Big data; Data science; Deep learning; Artificial intelligence; Resource (disambiguation); Machine learning; Data mining; Psychology; Computer network","score_opus":0.04324620151412132,"score_gpt":0.35170292863134756,"score_spread":0.3084567271172262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798336","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10844659,0.00088445126,0.882241,0.003792806,0.003160301,0.000309913,0.0000013752187,0.00004083439,0.001122731],"genre_scores_gemma":[0.9507957,0.0000995551,0.048445027,0.000036773814,0.0005715363,0.0000057734255,0.000015414647,0.000009453521,0.000020773767],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99761844,0.00037158324,0.0007831957,0.0004139144,0.0005712966,0.00024155025],"domain_scores_gemma":[0.99593,0.0023619852,0.00054201024,0.0005343579,0.00055032177,0.00008133437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004642548,0.00016049325,0.00041310606,0.001507126,0.0004237157,0.000270312,0.0010707772,0.00019529603,0.0000013989139],"category_scores_gemma":[0.0008663488,0.00015954513,0.000047265145,0.002339919,0.000121757825,0.00026605718,0.00060663064,0.0008008608,8.0614444e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024946405,0.00046117936,0.0011622394,0.000049954535,0.0001337555,0.0000016364992,0.0009965244,0.0062747207,0.00002241765,0.94691455,0.00007964296,0.043878406],"study_design_scores_gemma":[0.0010319838,0.00020583403,0.002473275,0.00015146306,0.00007463583,0.000012377288,0.00072511483,0.5822181,0.000036496032,0.41161352,0.0013110762,0.00014609587],"about_ca_topic_score_codex":0.00002655817,"about_ca_topic_score_gemma":0.0000029688663,"teacher_disagreement_score":0.8423491,"about_ca_system_score_codex":0.00011288457,"about_ca_system_score_gemma":0.0002311508,"threshold_uncertainty_score":0.65060616},"labels":[],"label_agreement":null},{"id":"W4409798386","doi":"10.61091/jcmcc127b-361","title":"Research on Railway Track Image Analysis and Recognition Technology Based on Image Segmentation Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Artificial intelligence; Image (mathematics); Computer science; Computer vision; Image segmentation; Scale-space segmentation; Segmentation; Segmentation-based object categorization; Pattern recognition (psychology)","score_opus":0.0160451481182939,"score_gpt":0.29098475137096036,"score_spread":0.2749396032526665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94700724,0.000091011694,0.04592937,0.00020409102,0.004063953,0.00038576362,0.000010609929,0.00012314957,0.002184804],"genre_scores_gemma":[0.97335833,0.00006570627,0.02615227,0.000018397805,0.00035379568,0.0000061252076,0.000009174182,0.000033533917,0.0000026875757],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978871,0.00015687676,0.0008082224,0.00023329437,0.0005888728,0.0003256648],"domain_scores_gemma":[0.9975506,0.0011454778,0.0002905763,0.00019229883,0.0007114492,0.000109613524],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019752365,0.00025387557,0.0006218998,0.002060083,0.00025162962,0.00026591,0.00017758414,0.00025301016,0.000010162587],"category_scores_gemma":[0.0002955578,0.00025072458,0.00013367146,0.001749369,0.00011013703,0.00019089105,0.000059109276,0.0008968372,0.000006369626],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097246,0.0039259237,0.00029386417,0.002647553,0.0037028382,0.00028854428,0.0018628879,0.0037672992,0.05105846,0.11721483,0.0014540539,0.8128113],"study_design_scores_gemma":[0.0070875464,0.0013954191,0.00026964003,0.0011519422,0.0006657899,0.000029430228,0.0009041622,0.52753115,0.049098346,0.4113168,0.000101877326,0.00044791118],"about_ca_topic_score_codex":0.000003890416,"about_ca_topic_score_gemma":3.7776363e-7,"teacher_disagreement_score":0.8123634,"about_ca_system_score_codex":0.00018230354,"about_ca_system_score_gemma":0.00005286321,"threshold_uncertainty_score":0.9999945},"labels":[],"label_agreement":null},{"id":"W4409798405","doi":"10.61091/jcmcc127b-355","title":"Collaborative Research on Panoramic Display of Grid One Map Production Information and Big Data Analysis Algorithm Based on Electricity 3D Engine","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"State Grid Corporation of China","keywords":"Production (economics); Electricity; Computer science; Grid; Algorithm; Computer graphics (images); Big data; Database; Data mining; Engineering; Mathematics; Electrical engineering","score_opus":0.021324667669367713,"score_gpt":0.2774569015737428,"score_spread":0.2561322339043751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8137276,0.00083718984,0.15052164,0.00040482913,0.0325541,0.0010294555,0.000083452695,0.00017905261,0.0006626572],"genre_scores_gemma":[0.9955717,0.000079936515,0.0038562557,0.0000038372445,0.000457526,0.0000025864183,0.000014490225,0.000011872037,0.0000018076752],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792314,0.00010628928,0.0009100005,0.00017403554,0.00065146375,0.00023509141],"domain_scores_gemma":[0.9977322,0.0006005098,0.00045034915,0.00043845264,0.00072021125,0.00005826896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024357773,0.00020089737,0.0006949943,0.001229158,0.00016895426,0.00014975273,0.00037025107,0.0001668393,5.366863e-7],"category_scores_gemma":[0.00073096703,0.00017785025,0.000058345515,0.0018988199,0.00008942521,0.00027498128,0.00015894706,0.0005897901,4.1831944e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007900807,0.003211799,0.00094057183,0.005162339,0.005027939,0.000023668536,0.0022565797,0.03818714,0.0020491534,0.738091,0.004636038,0.19962372],"study_design_scores_gemma":[0.004150998,0.0018584614,0.00067018537,0.001648386,0.00060472667,0.000006040963,0.0006542124,0.895739,0.0086702695,0.08314799,0.0024067264,0.0004429824],"about_ca_topic_score_codex":0.000013527286,"about_ca_topic_score_gemma":0.0000011613474,"teacher_disagreement_score":0.8575519,"about_ca_system_score_codex":0.00012560534,"about_ca_system_score_gemma":0.000116650466,"threshold_uncertainty_score":0.7252523},"labels":[],"label_agreement":null},{"id":"W4409798750","doi":"10.61091/jcmcc127b-365","title":"Research on Quantitative Calculation of Tourism Development and Economic Benefit Enhancement by the Opening of High-Speed Railway in Ethnic Areas","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tourism; Ethnic group; Economic geography; Regional science; Business; Geography; Sociology; Anthropology; Archaeology","score_opus":0.04373442496619225,"score_gpt":0.3271634589448765,"score_spread":0.28342903397868424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99558437,0.00021963958,0.0005001378,0.000708418,0.0016490219,0.0002586406,5.351025e-7,0.000005982386,0.0010732361],"genre_scores_gemma":[0.9990822,0.00001674476,0.00070116675,0.00003115069,0.00014269845,0.0000025829847,0.0000019470526,0.00000989676,0.000011603124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998259,0.000038352428,0.0010504264,0.00014218812,0.00032435718,0.00018565316],"domain_scores_gemma":[0.99760073,0.00081302534,0.0009366273,0.00014808241,0.00049090874,0.000010637551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028816632,0.00014149626,0.0004776196,0.0006047601,0.00021329484,0.000081968836,0.00029274993,0.0001146039,0.000004022946],"category_scores_gemma":[0.0002750211,0.00011392075,0.00004236581,0.0006117685,0.00016159033,0.00019918566,0.00028142784,0.00043357888,9.652922e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008559865,0.00025436626,0.0006960474,0.00015933334,0.00007681517,0.0000013309433,0.00041272643,0.000099148005,0.0004598223,0.9948708,0.0002488988,0.0026351167],"study_design_scores_gemma":[0.0063750683,0.0003710848,0.0059633343,0.0019416513,0.00008896487,0.000003050484,0.0038601933,0.007214973,0.010116383,0.9627544,0.0010418162,0.00026907356],"about_ca_topic_score_codex":0.00021412219,"about_ca_topic_score_gemma":0.000013106371,"teacher_disagreement_score":0.03211639,"about_ca_system_score_codex":0.00008407514,"about_ca_system_score_gemma":0.00008179028,"threshold_uncertainty_score":0.46455535},"labels":[],"label_agreement":null},{"id":"W4409798752","doi":"10.61091/jcmcc127b-360","title":"Research on Diversified Inheritance Paths under the Analysis of Artistic Characteristics and Popular Elements of Guanzhong Drum and Gong Dance Based on Image Processing Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Drum; Inheritance (genetic algorithm); Dance; Image (mathematics); Image processing; Computer science; Algorithm; Artificial intelligence; Computer vision; Art; Visual arts; Engineering; Biology; Mechanical engineering","score_opus":0.024995227178821102,"score_gpt":0.2995096205231835,"score_spread":0.2745143933443624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99154174,0.000099104895,0.0060076336,0.0006607891,0.0010984408,0.0002096896,0.0000048644,0.000013223248,0.0003645385],"genre_scores_gemma":[0.99821913,0.000018290295,0.0014504086,0.00009593873,0.00019520042,0.0000018886186,0.0000035125659,0.0000123516975,0.0000032876465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99813914,0.000052073658,0.00089586107,0.00018522548,0.0005091111,0.00021860815],"domain_scores_gemma":[0.9971567,0.0005555139,0.0011410337,0.00022039292,0.0009094497,0.000016930295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020604343,0.00017602682,0.0006106945,0.000847757,0.0004692954,0.00020136159,0.00028997313,0.00010809315,0.000002044704],"category_scores_gemma":[0.0004479907,0.00014075538,0.00007364199,0.0016298916,0.00032519235,0.00019640777,0.0002527265,0.00047612152,2.3322242e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010616216,0.00058874825,0.0068796505,0.0005979073,0.0003335577,0.000008691664,0.0001577261,0.00003553192,0.0004958108,0.9807784,0.00009305776,0.009924767],"study_design_scores_gemma":[0.006359735,0.0005411261,0.043078925,0.003238137,0.0018073805,0.0000038351805,0.005041113,0.30344307,0.00058851833,0.6350726,0.0003433937,0.00048216205],"about_ca_topic_score_codex":0.000022014761,"about_ca_topic_score_gemma":0.0000012100032,"teacher_disagreement_score":0.34570578,"about_ca_system_score_codex":0.000035841043,"about_ca_system_score_gemma":0.000049927767,"threshold_uncertainty_score":0.5739838},"labels":[],"label_agreement":null},{"id":"W4409798768","doi":"10.61091/jcmcc127b-363","title":"Research on the Intermingling of Intelligent Computing and Traditional Culture to Promote Innovative Talent Cultivation Mode under the Perspective of New Quality Productivity","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Productivity; Quality (philosophy); Mode (computer interface); Business; Knowledge management; Computer science; Marketing; Artificial intelligence; Human–computer interaction; Economics; Economic growth","score_opus":0.11691111446997109,"score_gpt":0.42365897334684965,"score_spread":0.30674785887687855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9099578,0.00015464997,0.0771173,0.0090183895,0.0028243496,0.0004405311,0.0000014420882,0.000012087542,0.0004734322],"genre_scores_gemma":[0.99318206,0.000009792226,0.0063799787,0.000048869177,0.00036032437,0.0000019488439,3.6156322e-7,0.0000058423702,0.000010800419],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977253,0.00034096837,0.00084436865,0.00024448492,0.0006575653,0.00018727915],"domain_scores_gemma":[0.9943934,0.0022119046,0.0008111993,0.00029565816,0.0022326766,0.00005515995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045515206,0.00015962124,0.00041299863,0.00029230348,0.0003826206,0.000093726216,0.00071837055,0.00011031188,8.135762e-7],"category_scores_gemma":[0.0016718667,0.0001020562,0.000070311624,0.0011730567,0.00032948342,0.0001383677,0.0004306389,0.00088024937,1.845782e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005806396,0.00043419583,0.00006972246,0.00007085046,0.000098613,4.306808e-7,0.0139637245,0.00018858309,0.0008376889,0.98174524,0.00019034585,0.0023425615],"study_design_scores_gemma":[0.0005724312,0.0005909263,0.0009735794,0.000637542,0.000014756521,0.000012372876,0.010338763,0.0034959633,0.012245189,0.9709344,0.0000885747,0.00009548289],"about_ca_topic_score_codex":0.000055849523,"about_ca_topic_score_gemma":0.0000012588856,"teacher_disagreement_score":0.08322427,"about_ca_system_score_codex":0.00014071808,"about_ca_system_score_gemma":0.0004954776,"threshold_uncertainty_score":0.4161731},"labels":[],"label_agreement":null},{"id":"W4409798787","doi":"10.61091/jcmcc127b-367","title":"Research on Cross-border E-commerce Consumer Behavior Based on Spatio-temporal Data Mining Calculation in the Perspective of Digital Economy Globalization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Globalization; Perspective (graphical); E-commerce; Digital economy; Economic geography; Data science; Business; Data mining; Economics; Industrial organization; Economy; Regional science; Commerce; Computer science; Geography; Market economy; Artificial intelligence; World Wide Web","score_opus":0.0485505427931782,"score_gpt":0.38700275433224995,"score_spread":0.33845221153907173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749537,0.000037904894,0.0013055623,0.0020023389,0.0023935933,0.00049707305,0.000006135152,0.00002269465,0.018780967],"genre_scores_gemma":[0.99909514,0.0000013797644,0.0002501082,0.00017852277,0.00042117725,0.000004447139,0.000030124673,0.000014400018,0.000004698045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980888,0.00006152898,0.0009046903,0.00023155229,0.0004917918,0.00022165575],"domain_scores_gemma":[0.99648505,0.00097580673,0.0007969739,0.0004552898,0.0012752428,0.0000116339825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026829287,0.00018036806,0.00039256213,0.0008451826,0.0003313917,0.0005295363,0.00063993945,0.0001571733,0.0000075808457],"category_scores_gemma":[0.0011213708,0.0001481001,0.00006546919,0.0013055144,0.00023162243,0.00062756933,0.00027492436,0.0005438072,0.0000021596761],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013216712,0.0009192026,0.047582176,0.00009350562,0.00003267804,0.0000061040814,0.000129981,0.00017239503,0.0000027104734,0.9493966,0.0006654381,0.00086702645],"study_design_scores_gemma":[0.011764002,0.00074853795,0.026288653,0.0016196856,0.0002675992,0.000011984243,0.00846883,0.10402953,0.00006012487,0.8387605,0.0074192532,0.00056127895],"about_ca_topic_score_codex":0.00009088882,"about_ca_topic_score_gemma":0.0000070153565,"teacher_disagreement_score":0.11063609,"about_ca_system_score_codex":0.00010259286,"about_ca_system_score_gemma":0.00012706748,"threshold_uncertainty_score":0.60393465},"labels":[],"label_agreement":null},{"id":"W4409798792","doi":"10.61091/jcmcc127b-364","title":"Mental Health Assessment of College Students Based on Social Sentiment Analysis and Multi-Branch Neural Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"Mental health; Sentiment analysis; Social network analysis; Artificial neural network; Psychology; Computer science; Data science; Applied psychology; Social media; Artificial intelligence; Psychiatry; World Wide Web","score_opus":0.022923110233639108,"score_gpt":0.3838879814089354,"score_spread":0.36096487117529624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787655,0.000099408586,0.008444851,0.0024752421,0.009234701,0.00041860127,0.0000071841646,0.000014879787,0.0005396512],"genre_scores_gemma":[0.99809504,0.000019965022,0.0012030844,0.00016655475,0.0004904551,0.0000015510623,0.0000017438217,0.000006190763,0.000015431551],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974899,0.0004344946,0.00087889103,0.00016034427,0.00073384837,0.0003024835],"domain_scores_gemma":[0.9979818,0.0006850968,0.0007656584,0.00008609515,0.00030541778,0.00017591601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024630104,0.00016269644,0.0007365494,0.0002544421,0.00072108343,0.00012020613,0.00024400596,0.00012641493,0.000008362216],"category_scores_gemma":[0.00018205958,0.00014128523,0.00019113129,0.0006381206,0.00020215829,0.0000677342,0.00008800853,0.0003112743,7.976324e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009017137,0.002427994,0.018699076,0.00013387106,0.00039845877,0.0000020670454,0.0027647489,0.00029072774,0.000013654387,0.9727132,0.00034709356,0.0021189535],"study_design_scores_gemma":[0.02371618,0.0031594478,0.15302473,0.001007718,0.0016461364,0.000004432621,0.0077301455,0.53255785,0.00013155123,0.27490276,0.0011539944,0.0009650875],"about_ca_topic_score_codex":0.000109475775,"about_ca_topic_score_gemma":0.0000055996406,"teacher_disagreement_score":0.6978104,"about_ca_system_score_codex":0.0001950459,"about_ca_system_score_gemma":0.00028818028,"threshold_uncertainty_score":0.57614446},"labels":[],"label_agreement":null},{"id":"W4409798807","doi":"10.61091/jcmcc127b-356","title":"A Study on Optimization of Rural Public Facility Layout Based on Mixed Integer Planning and Strategies for Improving Social Governance Effectiveness in the Era of Big Data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Integer (computer science); Big data; Business; Computer science; Process management; Environmental economics; Economics; Data mining","score_opus":0.05002507955296096,"score_gpt":0.3083590674828479,"score_spread":0.25833398792988693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98120743,0.000049265695,0.01500053,0.00029561212,0.0025754047,0.00056264136,0.0000067783144,0.000004142253,0.00029817806],"genre_scores_gemma":[0.9995374,0.0000037969955,0.00026724613,0.000009837654,0.00017004824,0.0000041147914,0.000002428364,0.00000455847,5.8555077e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982528,0.0003625437,0.0005692234,0.00012250643,0.0005417761,0.00015112014],"domain_scores_gemma":[0.99733126,0.0017121013,0.0006492355,0.00013008152,0.00014985289,0.000027455852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004180921,0.00012703027,0.0004141929,0.00008321877,0.00028226554,0.00012721906,0.00037822704,0.00007626971,3.9815643e-7],"category_scores_gemma":[0.00066348905,0.00009671304,0.000051292864,0.00022311242,0.00012854388,0.00015885168,0.000108314234,0.00023602175,2.2743162e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010732122,0.002846331,0.016877823,0.00067190675,0.0001470691,0.00000478588,0.029925123,0.007147868,0.000060300674,0.93403864,0.00007427224,0.0071326527],"study_design_scores_gemma":[0.0359215,0.006167413,0.16339369,0.0041811108,0.00041616874,0.0000034969846,0.22219734,0.09416756,0.0001980141,0.47202805,0.00033738604,0.0009882568],"about_ca_topic_score_codex":0.000045548863,"about_ca_topic_score_gemma":0.000003882713,"teacher_disagreement_score":0.4620106,"about_ca_system_score_codex":0.00008328655,"about_ca_system_score_gemma":0.00028062746,"threshold_uncertainty_score":0.39438435},"labels":[],"label_agreement":null},{"id":"W4409798810","doi":"10.61091/jcmcc127b-354","title":"Optimization of Teaching Quality Improvement Path Based on Recursive Algorithm in the Construction of Higher Vocational English Gold Classes under the Background of Industry-Teaching Integration","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Path (computing); Quality (philosophy); Computer science; Algorithm; Mathematics education; Mathematics; Psychology; Pedagogy; Programming language","score_opus":0.02428117715745154,"score_gpt":0.32413105474068393,"score_spread":0.2998498775832324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5423473,0.0000734462,0.4449996,0.0015432987,0.00913701,0.00035774236,0.0000035179835,0.0000135185965,0.0015245543],"genre_scores_gemma":[0.9540649,0.0000052510877,0.045626,0.000060621056,0.00023023445,0.0000031233344,0.0000020221376,0.000004983555,0.0000028498216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99749994,0.0005149014,0.0011662516,0.00015201485,0.0005409691,0.00012593431],"domain_scores_gemma":[0.9946958,0.002573085,0.0016880982,0.00028700454,0.0007329545,0.000023075636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039730445,0.0001493351,0.00040055806,0.00025362722,0.00015723452,0.00006613071,0.00063755276,0.00021848652,0.0000016772466],"category_scores_gemma":[0.0005103616,0.00010377107,0.00009551641,0.00037021312,0.000153436,0.00020409685,0.000101019556,0.0009884434,3.1109995e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027746337,0.00066648674,0.0001731788,0.00007414222,0.000041325296,2.5123504e-7,0.0012038375,0.0020598553,0.00011188712,0.98969126,0.00004578021,0.005904257],"study_design_scores_gemma":[0.0025070661,0.0008694582,0.0026657248,0.00089551095,0.00006749333,0.000006020485,0.0104099335,0.065489665,0.001486849,0.91537875,0.000063823325,0.00015968269],"about_ca_topic_score_codex":0.000033922603,"about_ca_topic_score_gemma":5.4566675e-7,"teacher_disagreement_score":0.41171762,"about_ca_system_score_codex":0.00009160051,"about_ca_system_score_gemma":0.00033644037,"threshold_uncertainty_score":0.42943498},"labels":[],"label_agreement":null},{"id":"W4409798815","doi":"10.61091/jcmcc127b-359","title":"Research on Comprehensive Evaluation Model of Cultural Value of Tang Dynasty Literary Works Based on Convolutional Neural Network and Text Feature Extraction","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Value (mathematics); Feature (linguistics); Artificial intelligence; Computer science; Artificial neural network; Natural language processing; Linguistics; Philosophy; Machine learning","score_opus":0.036820463711090365,"score_gpt":0.34497651006060237,"score_spread":0.308156046349512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99324906,0.000178185,0.0011717924,0.00043780077,0.0028105841,0.00029849884,0.0000034188195,0.000004916451,0.001845746],"genre_scores_gemma":[0.99599576,0.000016398068,0.003620218,0.000050843217,0.00028646784,0.0000031740803,0.0000055656756,0.000009026653,0.0000125559945],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997663,0.0001795528,0.0006937626,0.00017534394,0.0010906812,0.00019764253],"domain_scores_gemma":[0.9972389,0.0011204348,0.0006751359,0.00014882402,0.00074552494,0.0000712329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019391119,0.0001584087,0.0003665181,0.00018564312,0.0002963172,0.000070579765,0.00017405715,0.00014068058,0.0000138128335],"category_scores_gemma":[0.00033191033,0.00012550101,0.00008435369,0.00060370355,0.00021118301,0.00024773952,0.000112460606,0.0005908816,4.7278937e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037604498,0.0008496942,0.0011064516,0.0001331706,0.000058689373,8.5806784e-7,0.0006008524,0.23655452,0.0018547286,0.7514369,0.0016845897,0.005343497],"study_design_scores_gemma":[0.0017338586,0.0005040198,0.006599942,0.0007218075,0.00003907422,0.000004725444,0.00036627255,0.6586661,0.00024570007,0.3309481,0.00007366581,0.00009675189],"about_ca_topic_score_codex":0.000009444455,"about_ca_topic_score_gemma":2.9610112e-7,"teacher_disagreement_score":0.42211157,"about_ca_system_score_codex":0.0002192202,"about_ca_system_score_gemma":0.00015617616,"threshold_uncertainty_score":0.5117783},"labels":[],"label_agreement":null},{"id":"W4409798822","doi":"10.61091/jcmcc127b-368","title":"Research on deep neural network-based multimodal target detection algorithm and its application to point cloud data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial neural network; Artificial intelligence; Cloud computing; Point cloud; Deep learning; Algorithm; Pattern recognition (psychology); Data mining; Operating system","score_opus":0.021478264451062642,"score_gpt":0.30561225613556225,"score_spread":0.2841339916844996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.632025,0.00015479489,0.35618624,0.0011388566,0.007885063,0.0010854681,0.0000050922604,0.000056762576,0.0014627385],"genre_scores_gemma":[0.98013127,0.000005539261,0.018827748,0.00007547121,0.0009303453,0.0000022688785,0.0000033266977,0.00001876992,0.0000052482505],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784064,0.0001986486,0.0006272075,0.00036357527,0.00063395035,0.00033600038],"domain_scores_gemma":[0.9981035,0.0007709152,0.00032170088,0.0004298069,0.00017810165,0.00019599468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029259424,0.00018753309,0.00035873527,0.00015667727,0.000586516,0.00016633188,0.00048238455,0.000128554,0.0000044211124],"category_scores_gemma":[0.00031517213,0.0001731103,0.00004894733,0.00068014103,0.00008714988,0.00012961854,0.0005469164,0.0005704286,0.000009196332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086984463,0.0030088227,0.0005106963,0.00034362066,0.00024620752,0.000031481566,0.0018197247,0.1152154,0.011481007,0.31891987,0.0042630155,0.5432903],"study_design_scores_gemma":[0.0014966269,0.00043757312,0.0003914136,0.00010945957,0.000033927507,0.0000143481475,0.00012023014,0.8669337,0.0013448362,0.12700675,0.0019421901,0.00016895418],"about_ca_topic_score_codex":0.000040083283,"about_ca_topic_score_gemma":0.000002483812,"teacher_disagreement_score":0.7517183,"about_ca_system_score_codex":0.00015404169,"about_ca_system_score_gemma":0.000038089278,"threshold_uncertainty_score":0.70592326},"labels":[],"label_agreement":null},{"id":"W4409798838","doi":"10.61091/jcmcc127b-370","title":"Evaluation Model Construction of Civic and Political Teaching Quality of Physical Education Courses Oriented to Lifelong Learning–Based on Hierarchical Analysis Method and Fuzzy Comprehensive Evaluation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Lifelong learning; Mathematics education; Politics; Quality (philosophy); Physical education; Computer science; Sociology; Pedagogy; Psychology; Artificial intelligence; Political science; Epistemology","score_opus":0.02503045621993316,"score_gpt":0.37956325567874233,"score_spread":0.35453279945880917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409798838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96234506,0.00002080093,0.03497378,0.00036528433,0.0007983739,0.00032266916,0.0000021812039,0.000004954471,0.0011669],"genre_scores_gemma":[0.98134077,0.000001749623,0.018476797,0.000041195886,0.00012033463,0.0000050890467,0.000005432096,0.000006758157,0.0000018659439],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99720335,0.0004820096,0.00085146877,0.00020464545,0.0011123505,0.00014619864],"domain_scores_gemma":[0.99686676,0.0011961836,0.00078168296,0.00013106121,0.0009063349,0.00011797404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004076941,0.00015134239,0.00054068334,0.00036101515,0.00021145839,0.000041621814,0.00009412725,0.00008019469,0.0000046732775],"category_scores_gemma":[0.0023846703,0.0001317802,0.00009453379,0.0005954059,0.00015983082,0.00013524578,0.000095977164,0.00032815005,1.3012655e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009104382,0.0008737535,0.0057945806,0.00009520643,0.00015378036,4.8940738e-8,0.0012236452,0.02846567,0.0020404889,0.9482148,0.000014113457,0.013032864],"study_design_scores_gemma":[0.0011753528,0.00036969778,0.01292503,0.00015481892,0.0005409943,0.0000017842378,0.00092151406,0.5424745,0.0004059828,0.44092423,0.000010059641,0.00009600599],"about_ca_topic_score_codex":0.000058007456,"about_ca_topic_score_gemma":0.0000011716419,"teacher_disagreement_score":0.5140089,"about_ca_system_score_codex":0.00021563734,"about_ca_system_score_gemma":0.0003649403,"threshold_uncertainty_score":0.53738403},"labels":[],"label_agreement":null},{"id":"W4410278413","doi":"10.61091/jcmcc126-05","title":"Matching-star size Ramsey numbers under connectivity constraint","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Hebei Province; National Natural Science Foundation of China","keywords":"Star (game theory); Constraint (computer-aided design); Matching (statistics); Combinatorics; Mathematics; Computer science; Physics; Statistics; Astrophysics; Geometry","score_opus":0.01256132016380489,"score_gpt":0.2621150696920753,"score_spread":0.24955374952827042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410278413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5605038,0.00022350202,0.4102632,0.00093559077,0.025521625,0.0004145711,0.0000018758603,0.00015138484,0.00198445],"genre_scores_gemma":[0.942743,0.000016884467,0.05634406,0.00016745178,0.00068778597,0.0000023782882,3.886823e-7,0.000025058785,0.000012982092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957462,0.00037167183,0.0017158452,0.0005559694,0.0009808831,0.00062942045],"domain_scores_gemma":[0.99211615,0.0045916946,0.0012917243,0.00071123225,0.0009714139,0.00031780262],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003655419,0.0005176587,0.0013080324,0.00029685206,0.00050708523,0.00081321946,0.0015800315,0.00028610916,0.0000103411885],"category_scores_gemma":[0.0010871474,0.00048048125,0.0003788238,0.0008793883,0.00026673893,0.00054509455,0.0011932143,0.0010031669,0.00000389953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004136382,0.0008495282,0.00012239034,0.00017831557,0.00019717295,0.000052564854,0.0011824995,0.00021729754,0.00032482043,0.99317515,0.00016812584,0.0034907646],"study_design_scores_gemma":[0.0042991396,0.00047223896,0.00045355258,0.00035975425,0.000081888735,0.00022993919,0.00056176697,0.018156502,0.00048131184,0.9740822,0.00037662944,0.00044513063],"about_ca_topic_score_codex":0.000046524783,"about_ca_topic_score_gemma":0.0000018738546,"teacher_disagreement_score":0.38223922,"about_ca_system_score_codex":0.0003209464,"about_ca_system_score_gemma":0.0006261053,"threshold_uncertainty_score":0.9997647},"labels":[],"label_agreement":null},{"id":"W4410278531","doi":"10.61091/jcmcc125-29","title":"Mostar index of certain classes of bicyclic graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Bicyclic molecule; Mathematics; Combinatorics; Statistics; Computer science; Chemistry; Stereochemistry; World Wide Web","score_opus":0.01868917144099398,"score_gpt":0.29635226984659097,"score_spread":0.277663098405597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410278531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98908705,0.00025305786,0.004785018,0.00010978819,0.0033566689,0.0003171036,0.0000050046733,0.000022778037,0.002063535],"genre_scores_gemma":[0.99450964,0.000040032675,0.0052444087,0.000010529413,0.00015177093,0.000002450988,6.6513616e-7,0.000023525768,0.000016993952],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970616,0.00015530238,0.001856216,0.00017067099,0.0005094017,0.00024679388],"domain_scores_gemma":[0.99413407,0.0025354698,0.002050993,0.00037010593,0.00080584217,0.000103509265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018161797,0.0002615175,0.0010997299,0.00048004414,0.0001639859,0.000044305358,0.0005122614,0.00019427387,0.000008598685],"category_scores_gemma":[0.0011538138,0.00023123894,0.0003172918,0.0008243851,0.0002260337,0.00011688606,0.00019368943,0.00040308962,3.3558132e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010810044,0.0009915163,0.0008047809,0.0007619838,0.00024013767,0.0000024102665,0.00063143333,0.00000779862,0.0022859585,0.99313563,0.00029499287,0.0007352854],"study_design_scores_gemma":[0.002734247,0.00033908035,0.00016188525,0.0007843097,0.0002209154,0.000014382899,0.0005548445,0.000571856,0.007458715,0.9867083,0.00028312815,0.00016833769],"about_ca_topic_score_codex":0.000009280131,"about_ca_topic_score_gemma":4.3884762e-7,"teacher_disagreement_score":0.0064273034,"about_ca_system_score_codex":0.000033288885,"about_ca_system_score_gemma":0.0001754685,"threshold_uncertainty_score":0.94296503},"labels":[],"label_agreement":null},{"id":"W4410278577","doi":"10.61091/jcmcc125-30","title":"Linear preservers of tree partition numbers of graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Partition (number theory); Mathematics; Combinatorics; Tree (set theory)","score_opus":0.012863395535833416,"score_gpt":0.2541352396418222,"score_spread":0.24127184410598881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410278577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.956231,0.0005279131,0.02866786,0.00024816013,0.012251026,0.00023131094,0.0000014717848,0.000039689152,0.0018015944],"genre_scores_gemma":[0.9802131,0.000040125407,0.019670162,0.000014279905,0.000045667115,7.209576e-7,4.1124113e-7,0.000009052354,0.000006478264],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974662,0.00011910783,0.0014101749,0.00018609077,0.0005967014,0.00022170602],"domain_scores_gemma":[0.9965844,0.00058603403,0.0014418514,0.00036119993,0.00091902586,0.00010747152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016852602,0.00019161975,0.0007310033,0.0003803863,0.00011960574,0.000063600324,0.00069662876,0.0001326269,0.0000016077566],"category_scores_gemma":[0.00043092496,0.00016993523,0.00024378666,0.00078415504,0.00011337788,0.00025713394,0.00030689413,0.00027583927,3.5270492e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044165005,0.000478797,0.00041300396,0.00031139902,0.00011993453,0.0000038036665,0.00057712453,0.000119455115,0.0019424737,0.9948177,0.00028214641,0.00089000846],"study_design_scores_gemma":[0.003161712,0.0005679392,0.00012428587,0.00074154127,0.000078424055,0.000012338217,0.000117411946,0.013841362,0.011581105,0.9695356,0.00009820748,0.00014009216],"about_ca_topic_score_codex":0.000020628859,"about_ca_topic_score_gemma":4.0148282e-7,"teacher_disagreement_score":0.025282107,"about_ca_system_score_codex":0.000023942759,"about_ca_system_score_gemma":0.0001788531,"threshold_uncertainty_score":0.69297576},"labels":[],"label_agreement":null},{"id":"W4410278581","doi":"10.61091/jcmcc125-31","title":"A study on captive domination in graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Middle East Politics and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Biology; Mathematics","score_opus":0.021236272497261538,"score_gpt":0.31549636451576957,"score_spread":0.294260092018508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410278581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780335,0.000084692016,0.00021753012,0.0002551144,0.00904987,0.00042940475,6.360616e-7,0.0000150945425,0.011914164],"genre_scores_gemma":[0.99918884,0.000022178858,0.00023985091,0.00003790379,0.00046782638,0.0000025730706,1.8430345e-7,0.000010188917,0.000030425812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977125,0.00033689212,0.00081962603,0.00016491138,0.00066024624,0.0003058409],"domain_scores_gemma":[0.9978356,0.00093784614,0.00052024686,0.00013587164,0.00045018308,0.000120262885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036684133,0.00016882058,0.00052870373,0.00033622625,0.0004161489,0.00019181777,0.00031033027,0.00014291382,0.0000032241444],"category_scores_gemma":[0.0010385087,0.0001596643,0.00013487537,0.00058553927,0.00012709406,0.00013042489,0.00009175081,0.0004570496,9.979735e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004099732,0.0012234208,0.0019021408,0.000025186306,0.00005440555,0.000016841248,0.033904742,0.00000784315,0.000013217679,0.96220213,0.00007752264,0.0005315705],"study_design_scores_gemma":[0.0052023395,0.00065763923,0.0022646803,0.00037137867,0.000058343943,0.000002218761,0.041317865,0.00023557608,0.000042713287,0.94906646,0.0006020568,0.00017873234],"about_ca_topic_score_codex":0.00012100962,"about_ca_topic_score_gemma":0.000013365412,"teacher_disagreement_score":0.021155374,"about_ca_system_score_codex":0.0002277422,"about_ca_system_score_gemma":0.0003152961,"threshold_uncertainty_score":0.6510921},"labels":[],"label_agreement":null},{"id":"W4410353755","doi":"10.61091/jcmcc127b-283","title":"A quantitative assessment method for regulating capacity sufficiency under medium- and long-term supply and demand risk scenarios of provincial power grids with high proportion of new energy sources driven by multilevel temporal and spatial combinatorial optimization algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Term (time); Environmental economics; Power (physics); Risk assessment; Business; Quantitative assessment; Supply and demand; Energy supply; Energy (signal processing); Environmental science; Natural resource economics; Risk analysis (engineering); Computer science; Reliability engineering; Economics; Engineering; Microeconomics; Mathematics; Statistics","score_opus":0.009801056266874936,"score_gpt":0.2568802075529557,"score_spread":0.24707915128608077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410353755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53878343,0.00023527273,0.45593604,0.000017015422,0.0046233675,0.00036319738,0.000019112109,0.000015165911,0.0000073975198],"genre_scores_gemma":[0.9364938,0.000052336956,0.06283207,0.0000023098955,0.00056899013,0.000005223363,0.000009220015,0.00003428028,0.0000017671757],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975076,0.00016452892,0.0012702675,0.00026822442,0.0005295431,0.00025988295],"domain_scores_gemma":[0.99704576,0.00076182303,0.0013168865,0.00013373491,0.0005813816,0.0001603936],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013421625,0.00034718515,0.0010364125,0.00023057219,0.00022810358,0.00013259414,0.00014394206,0.00021964624,0.0000011547722],"category_scores_gemma":[0.00020477506,0.00029418408,0.000079199985,0.00019712043,0.00016878557,0.00022099553,0.000105949104,0.00029033652,7.9541715e-9],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030209806,0.0028780047,0.13743062,0.008759192,0.0032437134,0.00001746698,0.01955636,0.05057835,0.013157337,0.75180835,0.00054631033,0.009003294],"study_design_scores_gemma":[0.025974931,0.006473148,0.011817951,0.002766987,0.00092869095,0.00008470358,0.0012392043,0.8911755,0.0071811643,0.051400423,0.00005532899,0.00090198306],"about_ca_topic_score_codex":0.00030770025,"about_ca_topic_score_gemma":0.000013406911,"teacher_disagreement_score":0.84059715,"about_ca_system_score_codex":0.0000735053,"about_ca_system_score_gemma":0.00022831648,"threshold_uncertainty_score":0.999951},"labels":[],"label_agreement":null},{"id":"W4410486452","doi":"10.61091/jcmcc126-09","title":"Application of stacked machine learning models in population development equations for population forecasting","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Population; Development (topology); Computer science; Machine learning; Artificial intelligence; Econometrics; Economics; Mathematics; Demography; Mathematical analysis; Sociology","score_opus":0.035450749579826815,"score_gpt":0.3058625338334362,"score_spread":0.2704117842536094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410486452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80076087,0.00015143292,0.19419672,0.00007901698,0.003220944,0.00087665545,0.0000014980957,0.000024990644,0.0006878655],"genre_scores_gemma":[0.98948526,0.000017820708,0.010221841,0.0000054566153,0.00022779769,0.000010824242,0.000011423445,0.000013221864,0.0000063394064],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99759805,0.00016761625,0.0013029643,0.00015955545,0.0005359872,0.00023580051],"domain_scores_gemma":[0.9972539,0.00075642054,0.0012962528,0.0001029332,0.00053611805,0.000054373708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003797107,0.00014718357,0.00047818964,0.00045417325,0.0005061978,0.000092827744,0.00021497894,0.00011758484,7.511e-7],"category_scores_gemma":[0.0008022979,0.00015601193,0.000106686595,0.00056580827,0.00004486289,0.00026622147,0.0000770514,0.00022179018,8.8159325e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053932832,0.00026176756,0.023363112,0.00025017106,0.000052158462,4.3093675e-7,0.0031621985,0.004905561,0.000018266604,0.95694715,0.0000037721704,0.010981458],"study_design_scores_gemma":[0.0021568502,0.00009728174,0.005309121,0.0003510124,0.00006349018,4.136833e-7,0.0008028878,0.2542366,0.000032781572,0.7365217,0.0002738622,0.00015399265],"about_ca_topic_score_codex":0.0005730942,"about_ca_topic_score_gemma":0.00010421046,"teacher_disagreement_score":0.24933106,"about_ca_system_score_codex":0.00019469722,"about_ca_system_score_gemma":0.000120126235,"threshold_uncertainty_score":0.63619816},"labels":[],"label_agreement":null},{"id":"W4410486453","doi":"10.61091/jcmcc126-12","title":"A note on Beckett-Gray codes and the relationship of Gray codes to data structures","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gray (unit); Gray code; Computer science; Artificial intelligence; Algorithm; Medicine","score_opus":0.026872960999859204,"score_gpt":0.3001297741647188,"score_spread":0.2732568131648596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410486453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59505874,0.00084307697,0.38665468,0.0036327038,0.011798984,0.0009499214,0.000020383155,0.00007593626,0.0009655986],"genre_scores_gemma":[0.9817255,0.000026563486,0.017866936,0.00006201035,0.00029903406,0.0000024317426,0.000002326215,0.000010308059,0.0000048503175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978744,0.00018661223,0.0009362126,0.00028005007,0.00051654875,0.00020619754],"domain_scores_gemma":[0.99435127,0.0036273315,0.0007493343,0.0008408557,0.00031773178,0.00011347084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002312173,0.00021636712,0.00064137625,0.00022922573,0.00040620283,0.000335506,0.0015156149,0.00010082079,8.5024874e-7],"category_scores_gemma":[0.0013592556,0.00015028857,0.00009389631,0.0005704253,0.00020469306,0.00019323533,0.0009266769,0.0003895353,7.351309e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061810846,0.00014146022,0.0002515767,0.00011834383,0.00006003374,0.000001298039,0.0008983447,0.000032192605,0.00016783059,0.9952411,0.0005366343,0.0024893496],"study_design_scores_gemma":[0.0031788023,0.00019403777,0.0013585776,0.0005036402,0.00009092267,0.000025320907,0.00010560765,0.024659773,0.0005696283,0.9684738,0.00068426074,0.00015561645],"about_ca_topic_score_codex":0.000022733151,"about_ca_topic_score_gemma":0.0000014152553,"teacher_disagreement_score":0.3866668,"about_ca_system_score_codex":0.000031919466,"about_ca_system_score_gemma":0.00015351587,"threshold_uncertainty_score":0.612859},"labels":[],"label_agreement":null},{"id":"W4410486460","doi":"10.61091/jcmcc126-10","title":"Matrix filling-based power quality data restoration system for power internet of things","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Power (physics); Matrix (chemical analysis); The Internet; Quality (philosophy); Internet of Things; Computer science; Electrical engineering; Engineering; World Wide Web; Materials science; Physics; Composite material","score_opus":0.021193018893151446,"score_gpt":0.2846078731959634,"score_spread":0.263414854302812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410486460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5435427,0.0015530341,0.41041216,0.00010654135,0.04182232,0.0006935715,0.000026570455,0.00029505717,0.0015480532],"genre_scores_gemma":[0.9917635,0.000005660151,0.0080335755,0.0000049055616,0.00015174267,0.0000024556155,0.0000046630335,0.000027061587,0.000006456559],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763024,0.000058719423,0.0015287003,0.00018135924,0.00037523903,0.00022577068],"domain_scores_gemma":[0.9972542,0.00078737776,0.00088343566,0.00050339056,0.00051240844,0.000059170776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002377035,0.00023797194,0.00084478484,0.0002726452,0.00008910524,0.00013307476,0.0007274695,0.00023447107,0.0000017223379],"category_scores_gemma":[0.00068402983,0.00021371157,0.00014095535,0.0002610967,0.0000571812,0.00025975078,0.00021021719,0.00031305332,4.0462808e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012153975,0.00019725894,0.000116221665,0.002522502,0.00026594466,0.0000045333272,0.0006221061,0.00031456858,0.0014526718,0.9922578,0.0016622161,0.0004626381],"study_design_scores_gemma":[0.019903328,0.002408302,0.00021832956,0.010641816,0.0006102797,0.000062018546,0.004435538,0.54261917,0.031863134,0.37112498,0.0146252,0.0014878691],"about_ca_topic_score_codex":0.000012182177,"about_ca_topic_score_gemma":2.7038408e-7,"teacher_disagreement_score":0.6211328,"about_ca_system_score_codex":0.00012361343,"about_ca_system_score_gemma":0.000106321146,"threshold_uncertainty_score":0.8714905},"labels":[],"label_agreement":null},{"id":"W4410486463","doi":"10.61091/jcmcc126-11","title":"Super point graph and point completion number","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Point (geometry); Graph; Mathematics; Combinatorics; Computer science; Geometry","score_opus":0.010960619556611676,"score_gpt":0.25721672107083293,"score_spread":0.24625610151422125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410486463","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4696483,0.00044323984,0.51276475,0.0012202637,0.01350372,0.0002606431,0.0000010177591,0.00006011081,0.0020979482],"genre_scores_gemma":[0.9629983,0.00005239766,0.036276266,0.00013273048,0.00050810794,0.0000015560508,0.0000013580437,0.000010871829,0.000018412342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978796,0.00013133828,0.00094520685,0.00026919742,0.00051963294,0.0002550267],"domain_scores_gemma":[0.9976287,0.0007748126,0.0005335059,0.00023912083,0.00067175407,0.00015214655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001634602,0.00024228355,0.00056164054,0.00031689194,0.00034525257,0.00046992846,0.00042483184,0.000121031524,0.00000558172],"category_scores_gemma":[0.00036644866,0.00022294183,0.00013400157,0.0006155796,0.00007592294,0.00052032794,0.00040436967,0.00034440652,0.0000029481187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025946185,0.00024575755,0.00022388181,0.000099169934,0.00007167221,0.000009588426,0.00062999147,0.00007338374,0.0004181726,0.9931835,0.00082871504,0.0041902396],"study_design_scores_gemma":[0.002991135,0.00027608144,0.00066094473,0.00025841277,0.000052833097,0.00019192426,0.00013072671,0.026581319,0.00072725647,0.9661799,0.0017082958,0.00024115888],"about_ca_topic_score_codex":0.000005523623,"about_ca_topic_score_gemma":2.6205322e-7,"teacher_disagreement_score":0.49335,"about_ca_system_score_codex":0.00006374674,"about_ca_system_score_gemma":0.00014584322,"threshold_uncertainty_score":0.9091304},"labels":[],"label_agreement":null},{"id":"W4410486464","doi":"10.61091/jcmcc126-08","title":"A large-scale charging pile and microgrid operation optimization strategy based on smart grid interaction technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microgrid; Pile; Smart grid; Grid; Scale (ratio); Computer science; Electrical engineering; Distributed computing; Engineering; Renewable energy; Physics; Geology","score_opus":0.007029857700785357,"score_gpt":0.23936872272929044,"score_spread":0.2323388650285051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410486464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.824635,0.0009938619,0.11528458,0.00076569774,0.05051897,0.00052882446,0.0000057524558,0.00015836986,0.00710894],"genre_scores_gemma":[0.9964119,0.000055570777,0.0025261953,0.000048887006,0.00089906086,0.0000040331515,0.000005033844,0.000026747734,0.000022553733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981578,0.00011733423,0.00090822694,0.00023956982,0.00029583173,0.0002812447],"domain_scores_gemma":[0.9984378,0.00025979913,0.0006642675,0.00019554303,0.00034788778,0.00009466305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092968915,0.00025725883,0.0005945348,0.00053601665,0.0003593973,0.00026395792,0.00018784113,0.0002481687,0.0000114459235],"category_scores_gemma":[0.00016205237,0.0002258385,0.00009420295,0.0003915942,0.000049562103,0.00018965965,0.00010741281,0.00038735798,8.765477e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002639415,0.0009772137,0.00026598945,0.00032320095,0.0001630214,0.000019673056,0.00059538556,0.18442409,0.0021532082,0.8069745,0.00035395185,0.003485882],"study_design_scores_gemma":[0.008973089,0.0013455139,0.000047702455,0.0016823563,0.0001468491,0.000084318635,0.0019410166,0.89900553,0.0047954894,0.07222694,0.00929849,0.0004526817],"about_ca_topic_score_codex":0.000046758738,"about_ca_topic_score_gemma":0.0000062790205,"teacher_disagreement_score":0.7347475,"about_ca_system_score_codex":0.00011397172,"about_ca_system_score_gemma":0.0001286548,"threshold_uncertainty_score":0.9209427},"labels":[],"label_agreement":null},{"id":"W4410487025","doi":"10.61091/jcmcc126-06","title":"Optimization of computational model of constitutional interpretation and its influence on judicial practice in China","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Education, Law, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Constitutional interpretation; China; Constitutional review; Judicial interpretation; Political science; Computer science; Epistemology; Law and economics; Law; Philosophy; Sociology; Programming language; Constitution","score_opus":0.012487970439318168,"score_gpt":0.3181958447060872,"score_spread":0.30570787426676904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410487025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620574,0.00021111117,0.02916032,0.0005425116,0.0032476736,0.00027524482,0.0000034806246,0.00000816241,0.004494065],"genre_scores_gemma":[0.9901104,0.00012644815,0.0095791025,0.000032883778,0.00014099956,9.912193e-7,0.0000012141976,0.000004474534,0.0000034813118],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981603,0.00019474777,0.0008704557,0.000115409006,0.0005323947,0.00012668376],"domain_scores_gemma":[0.9962473,0.0015511214,0.0009966047,0.000058489357,0.0010863879,0.000060095237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021958228,0.00010984499,0.0003880017,0.00019472218,0.00022586113,0.000052604257,0.00015778861,0.000123376,0.0000023627474],"category_scores_gemma":[0.0032010686,0.000113697206,0.00006297308,0.00035176086,0.00037404764,0.00033953477,0.00005058571,0.00019173718,4.848899e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008017839,0.00036992523,0.00022619929,0.000088492234,0.00003333127,3.8191368e-7,0.013708075,0.15638644,0.00003189348,0.8288881,0.000020222518,0.00016672332],"study_design_scores_gemma":[0.002231926,0.00021849417,0.00031550814,0.0008064293,0.000070772876,0.0000028947338,0.0036568488,0.29520428,0.00009183262,0.6972445,0.000036322323,0.00012014516],"about_ca_topic_score_codex":0.000037839236,"about_ca_topic_score_gemma":0.000002230408,"teacher_disagreement_score":0.13881785,"about_ca_system_score_codex":0.00009396968,"about_ca_system_score_gemma":0.00079495704,"threshold_uncertainty_score":0.46364376},"labels":[],"label_agreement":null},{"id":"W4410487129","doi":"10.61091/jcmcc126-07","title":"Research on cross-cultural empathy expression and adaptive interaction patterns in human-computer communication by integrating deep learning algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Empathy; Computer science; Artificial intelligence; Expression (computer science); Psychology; Social psychology","score_opus":0.04366209824448092,"score_gpt":0.39977129662466027,"score_spread":0.35610919838017935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410487129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94904,0.0003687174,0.0461338,0.00030641866,0.0033782267,0.00017950866,4.7115026e-7,0.000038226757,0.00055465876],"genre_scores_gemma":[0.98955,0.00008461585,0.010055246,0.000024040537,0.00025493107,0.0000054409797,0.0000024740461,0.00001057535,0.000012672021],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976364,0.0004889379,0.0008480965,0.00029588037,0.00044535004,0.00028533043],"domain_scores_gemma":[0.996538,0.001778096,0.0005930398,0.00026440228,0.00074924313,0.00007723846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002657982,0.0002038742,0.0004185116,0.0006203218,0.00076453167,0.0007165108,0.0007067011,0.00023039003,0.00000203003],"category_scores_gemma":[0.00034668058,0.0001845972,0.000063993,0.000480009,0.00017211796,0.0006132332,0.00059330923,0.0017390033,7.664462e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054053315,0.00053476973,0.0015795402,0.00007362803,0.000037262347,0.0000072750017,0.0054644723,0.00014827329,0.00093709066,0.9705556,0.00015062396,0.02045741],"study_design_scores_gemma":[0.005301144,0.0022674466,0.0038979994,0.0033825103,0.000022311504,0.0000848462,0.009128399,0.13902958,0.0055318675,0.83037955,0.00048044522,0.00049392687],"about_ca_topic_score_codex":0.000073187024,"about_ca_topic_score_gemma":0.0000034405323,"teacher_disagreement_score":0.14017609,"about_ca_system_score_codex":0.00019578997,"about_ca_system_score_gemma":0.00008248558,"threshold_uncertainty_score":0.7555201},"labels":[],"label_agreement":null},{"id":"W4410610634","doi":"10.61091/jcmcc126-13","title":"Real-time big data processing using quantum computing to enhance speed and efficiency","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Big data; Quantum computer; Quantum; Computational science; Physics; Data mining; Quantum mechanics","score_opus":0.02070098351518983,"score_gpt":0.29591085378904264,"score_spread":0.2752098702738528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410610634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6608241,0.00036306516,0.32953933,0.0003156942,0.008414454,0.0002650966,0.0000017661641,0.00009277494,0.00018366742],"genre_scores_gemma":[0.9035373,0.00002342172,0.094935164,0.00006306106,0.0014016548,2.3261242e-7,9.991772e-7,0.00003163265,0.000006573452],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961354,0.00019758187,0.0015141087,0.0007295511,0.0007842492,0.00063908164],"domain_scores_gemma":[0.99608535,0.0009745996,0.0011703932,0.0008331386,0.00061498693,0.00032155612],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0032167512,0.0004660837,0.001084641,0.00054867344,0.00081070565,0.0010373051,0.002104475,0.00017170608,5.938144e-7],"category_scores_gemma":[0.0007344433,0.0004219112,0.000108906956,0.001278264,0.00012654149,0.0003919771,0.0029480443,0.0006489714,0.000001463852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021195205,0.0020784987,0.00038436745,0.0019567448,0.00043473704,0.00023037316,0.011947095,0.008949233,0.033106633,0.6247352,0.0007284595,0.31523675],"study_design_scores_gemma":[0.0012800017,0.00039887085,0.0000795638,0.0015409441,0.00007105904,0.00016778451,0.00011667796,0.8917277,0.0008828482,0.10310507,0.00020816832,0.0004213071],"about_ca_topic_score_codex":0.00003040051,"about_ca_topic_score_gemma":2.1476411e-7,"teacher_disagreement_score":0.88277847,"about_ca_system_score_codex":0.00009588913,"about_ca_system_score_gemma":0.00048471335,"threshold_uncertainty_score":0.9999997},"labels":[],"label_agreement":null},{"id":"W4410610645","doi":"10.61091/jcmcc126-15","title":"On multiset dimension of cylindrical graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ateneo de Manila University","keywords":"Multiset; Dimension (graph theory); Mathematics; Combinatorics; Fourth Dimension; Discrete mathematics; Physics; Quantum mechanics","score_opus":0.011362870538432074,"score_gpt":0.25452279906932157,"score_spread":0.2431599285308895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410610645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94117224,0.00048027042,0.035848565,0.00040706366,0.020455822,0.00025711616,0.0000011184993,0.00006317182,0.001314615],"genre_scores_gemma":[0.9812489,0.000026262003,0.018592188,0.00006707417,0.00004734291,7.363873e-7,3.544335e-7,0.0000114388495,0.0000057016437],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973625,0.00013004582,0.0012805337,0.00025851754,0.0006929631,0.0002754711],"domain_scores_gemma":[0.99650663,0.001206478,0.0010163832,0.000416422,0.00070409616,0.00015000482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015589092,0.00025001806,0.0007658303,0.00051289005,0.0002094708,0.00013439213,0.0007143133,0.00016516817,0.0000014127756],"category_scores_gemma":[0.00063296343,0.00020557654,0.00022866194,0.0007458902,0.000107578824,0.00017383667,0.00037908065,0.00044929198,0.0000013751209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055254095,0.0006989302,0.00008167081,0.00010773688,0.00007529323,0.00001244062,0.0003543297,0.000110761925,0.001220597,0.99480224,0.0004318322,0.0020489092],"study_design_scores_gemma":[0.0037017602,0.00089404586,0.000091260255,0.0007261664,0.000048820595,0.000025438798,0.000043487697,0.0194336,0.0035585435,0.97120625,0.000094884665,0.00017576052],"about_ca_topic_score_codex":0.0000058000605,"about_ca_topic_score_gemma":6.882132e-8,"teacher_disagreement_score":0.040076643,"about_ca_system_score_codex":0.00003626758,"about_ca_system_score_gemma":0.00014468188,"threshold_uncertainty_score":0.8383168},"labels":[],"label_agreement":null},{"id":"W4410610668","doi":"10.61091/jcmcc126-14","title":"Counting of lattices having nullity up to two","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algebra and Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Materials science","score_opus":0.014920220513295458,"score_gpt":0.2881407797913041,"score_spread":0.27322055927800865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410610668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6475881,0.00032307915,0.33187512,0.00028672014,0.01828876,0.00022847597,6.973621e-7,0.000047724505,0.0013613316],"genre_scores_gemma":[0.9611282,0.000010889037,0.03834866,0.00006948596,0.00041792542,0.0000010471167,1.6149986e-7,0.000011659548,0.00001200369],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973723,0.00010565972,0.0013047,0.0002693148,0.0006018496,0.00034613998],"domain_scores_gemma":[0.9964304,0.0010594674,0.0011612558,0.00038650402,0.00080269825,0.00015969892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020162612,0.00025173396,0.0008219092,0.00031926687,0.00026116916,0.00026249938,0.0010731241,0.00009695214,0.0000021216981],"category_scores_gemma":[0.00085907703,0.00022449932,0.00016714813,0.00077233557,0.00006871703,0.00043056137,0.0006873015,0.00038770406,0.0000013853817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003694055,0.00018402941,0.00038718045,0.00018293537,0.000061507766,0.000008609638,0.0012800297,0.00013922866,0.0010689645,0.99145484,0.000078752004,0.005117005],"study_design_scores_gemma":[0.0028853882,0.00041311284,0.00034182105,0.00077363034,0.00006203158,0.00003080937,0.00032944712,0.011650556,0.0039471,0.97861284,0.0006886316,0.00026460574],"about_ca_topic_score_codex":0.000010098218,"about_ca_topic_score_gemma":4.423301e-7,"teacher_disagreement_score":0.31354007,"about_ca_system_score_codex":0.000074763884,"about_ca_system_score_gemma":0.00019398467,"threshold_uncertainty_score":0.9154817},"labels":[],"label_agreement":null},{"id":"W4411599109","doi":"10.61091/jcmcc126-18","title":"On the number of Hamiltonian cycles in the generalized Petersen graph","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Petersen graph; Mathematics; Combinatorics; Graph; Voltage graph; Line graph","score_opus":0.021401705615776624,"score_gpt":0.3035536831838663,"score_spread":0.28215197756808963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411599109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917516,0.000053321502,0.00068787497,0.0008551555,0.0022295653,0.00036275884,0.0000019192285,0.000011631351,0.0040461733],"genre_scores_gemma":[0.9978522,0.00001879684,0.0018103087,0.000096565855,0.00019096794,0.0000067686283,3.4509586e-7,0.000015335858,0.000008685626],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977085,0.00037447122,0.0010866792,0.00013696683,0.00047357642,0.00021980354],"domain_scores_gemma":[0.9933072,0.005140703,0.00087080325,0.00040035907,0.00023753835,0.000043439086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033346375,0.00021531974,0.000578909,0.0001721374,0.00027821917,0.000102554935,0.0006922184,0.000107572516,0.00000796373],"category_scores_gemma":[0.0009519396,0.00012634502,0.00023664175,0.00059458945,0.00017262094,0.0000612113,0.00011047287,0.0005076972,0.0000010431704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006412971,0.0006151857,0.00018365333,0.000106002204,0.000083311206,0.000004105953,0.0016224525,0.000007221469,0.00018889489,0.9963977,0.00057663553,0.00015075695],"study_design_scores_gemma":[0.0019527996,0.0001065474,0.00028810705,0.00042566954,0.000096975615,0.000026571663,0.0010345984,0.00024755136,0.00042284126,0.9951096,0.00017420156,0.000114502625],"about_ca_topic_score_codex":0.0000070885644,"about_ca_topic_score_gemma":8.4772176e-7,"teacher_disagreement_score":0.0061006257,"about_ca_system_score_codex":0.000027814353,"about_ca_system_score_gemma":0.000070793554,"threshold_uncertainty_score":0.51522005},"labels":[],"label_agreement":null},{"id":"W4411599111","doi":"10.61091/jcmcc126-20","title":"On dominator coloring of corona products of some generalized graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corona (planetary geology); Mathematics; Greedy coloring; Fractional coloring; Combinatorics; Physics; Graph; Astrobiology","score_opus":0.012828326919634125,"score_gpt":0.24745436179422822,"score_spread":0.2346260348745941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411599111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97859293,0.00083966856,0.0035625598,0.00024075326,0.016056346,0.00029460975,0.0000013824736,0.000034973436,0.00037678954],"genre_scores_gemma":[0.9835088,0.00005638416,0.016292043,0.000037347545,0.00007903241,0.0000016631665,3.662399e-7,0.000015409489,0.000008952189],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967815,0.000155682,0.0016896639,0.0002966,0.00077029923,0.0003062212],"domain_scores_gemma":[0.9954002,0.0009454645,0.0018287293,0.00050172576,0.001199711,0.00012417708],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002154029,0.00028719974,0.0010914047,0.0006011729,0.00017281897,0.00009851601,0.0008894752,0.00015197296,0.0000012492097],"category_scores_gemma":[0.0008537712,0.00024703483,0.00023010655,0.0008960422,0.00015973045,0.00026837178,0.00038918547,0.0003692616,4.8796005e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012239043,0.000733997,0.00007131362,0.00043328575,0.00014309045,0.00000752005,0.0004699193,0.000112440226,0.0080316765,0.98868686,0.0002502573,0.0009372581],"study_design_scores_gemma":[0.005027507,0.0010298889,0.00006772593,0.0009651767,0.000076478376,0.00001649758,0.00005247772,0.004393602,0.039090876,0.94901174,0.00007271938,0.00019527927],"about_ca_topic_score_codex":0.000009961133,"about_ca_topic_score_gemma":6.6245676e-8,"teacher_disagreement_score":0.03967508,"about_ca_system_score_codex":0.00004596371,"about_ca_system_score_gemma":0.0002928101,"threshold_uncertainty_score":0.9999982},"labels":[],"label_agreement":null},{"id":"W4411599115","doi":"10.61091/jcmcc126-21","title":"On negacyclic codes of length \\(5p^s\\) over \\(\\mathbb{F}_{p^m}+u \\mathbb{F}_{p^m}\\)","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Physics; Combinatorics; Mathematics","score_opus":0.009586833770709654,"score_gpt":0.25546216318416476,"score_spread":0.2458753294134551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411599115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88064116,0.0005654684,0.09390065,0.00028763793,0.018844562,0.00034637787,0.0000029950204,0.00011379948,0.0052973325],"genre_scores_gemma":[0.99152005,0.00005218129,0.0078982385,0.000098483186,0.0003920895,0.0000020775421,4.907496e-7,0.00002358974,0.000012787494],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99644893,0.0002457534,0.0016207407,0.00037181104,0.0008664891,0.00044624825],"domain_scores_gemma":[0.99471515,0.0023434192,0.0014882603,0.0006878624,0.0005722384,0.00019304606],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024531737,0.00042251855,0.001168736,0.00072208856,0.00034457055,0.0003460771,0.0015037722,0.00022373238,0.000007465144],"category_scores_gemma":[0.0007594561,0.00037241462,0.00043524365,0.0010783919,0.0001863154,0.000423634,0.0005917359,0.0006592619,0.0000022941704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012567625,0.00090341474,0.0001347097,0.0002311164,0.00020085843,0.000017059796,0.000847109,0.00004508228,0.00072682,0.9918223,0.00054306583,0.00440278],"study_design_scores_gemma":[0.004003625,0.0011924981,0.00025466218,0.0009975175,0.00010299317,0.000035273584,0.00013817343,0.0077279215,0.002841895,0.9814649,0.000906377,0.00033413988],"about_ca_topic_score_codex":0.0000066910907,"about_ca_topic_score_gemma":2.4284134e-7,"teacher_disagreement_score":0.110878885,"about_ca_system_score_codex":0.00007554132,"about_ca_system_score_gemma":0.00022819305,"threshold_uncertainty_score":0.9998728},"labels":[],"label_agreement":null},{"id":"W4411599125","doi":"10.61091/jcmcc126-19","title":"On domination polynomials of some graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics","score_opus":0.013241094408873909,"score_gpt":0.2923340008613273,"score_spread":0.27909290645245344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411599125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84924126,0.0005951643,0.12829638,0.00048636727,0.018696848,0.000458834,0.0000018242539,0.000055465178,0.0021678738],"genre_scores_gemma":[0.9897214,0.000039901668,0.009952326,0.0000408491,0.0002174182,0.0000015814677,2.582397e-7,0.00001379707,0.0000124419785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972336,0.00021018805,0.0012141988,0.00024459037,0.00078235916,0.00031505048],"domain_scores_gemma":[0.9953737,0.0021863326,0.0011408299,0.0004426188,0.0007267248,0.00012975011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026319977,0.00023937336,0.0007765021,0.00079164834,0.00021329641,0.00016987154,0.0011117905,0.00013995952,0.0000019777917],"category_scores_gemma":[0.0011592763,0.00021134164,0.00022282611,0.00082739565,0.00014382084,0.00047281306,0.00042198037,0.00045920166,0.0000011985007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011253687,0.00046027714,0.000038553022,0.00013751838,0.000086322725,0.000008785592,0.00034507207,0.000054054017,0.0018782326,0.99280953,0.00015796108,0.0039111306],"study_design_scores_gemma":[0.003383983,0.0007973655,0.00008471684,0.0004541997,0.000028796861,0.00001548526,0.000067759305,0.0039206767,0.009510976,0.98147136,0.00010432113,0.00016034792],"about_ca_topic_score_codex":0.0000024658098,"about_ca_topic_score_gemma":5.3492357e-8,"teacher_disagreement_score":0.14048018,"about_ca_system_score_codex":0.000081383594,"about_ca_system_score_gemma":0.00020931692,"threshold_uncertainty_score":0.8618262},"labels":[],"label_agreement":null},{"id":"W4411599128","doi":"10.61091/jcmcc126-17","title":"Perfect truncated-metric codes in lattice graphs and superlattice graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lattice (music); Mathematics; Combinatorics; Discrete mathematics; Computer science; Physics","score_opus":0.009980412928587685,"score_gpt":0.25002859726437976,"score_spread":0.2400481843357921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411599128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782731,0.0017274364,0.010010635,0.00024805032,0.008090825,0.00024785,8.1624006e-7,0.000074803575,0.0013265115],"genre_scores_gemma":[0.9922904,0.00017065577,0.0073443544,0.00006418186,0.00010780431,0.0000021403807,3.5259566e-7,0.000015698562,0.0000044519807],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99726826,0.00029731807,0.0011333477,0.00036472437,0.000511627,0.00042474526],"domain_scores_gemma":[0.99578565,0.0027012443,0.000571902,0.0003727968,0.00039009808,0.0001783345],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033390059,0.00034157265,0.0008673986,0.0013683733,0.00034040917,0.0005266269,0.00088183634,0.000188517,0.0000018708597],"category_scores_gemma":[0.0008839593,0.0003122012,0.00020693328,0.00243262,0.00015654525,0.0004965072,0.00048387356,0.00068091456,7.0409624e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006322617,0.0004109377,0.002725383,0.00017859838,0.00009846332,0.00003062559,0.0010740344,0.000013324014,0.00019529725,0.9905431,0.000056848574,0.0046101236],"study_design_scores_gemma":[0.0038237597,0.00058930274,0.002022515,0.0006419278,0.000092651615,0.00007505901,0.00027260612,0.008087393,0.00029592786,0.9835914,0.00020108522,0.0003063764],"about_ca_topic_score_codex":0.000015072405,"about_ca_topic_score_gemma":0.000001071508,"teacher_disagreement_score":0.014017288,"about_ca_system_score_codex":0.00005391248,"about_ca_system_score_gemma":0.00014063864,"threshold_uncertainty_score":0.999933},"labels":[],"label_agreement":null},{"id":"W4412533609","doi":"10.61091/jcmcc126-22","title":"Multidecomposition of hypercube graphs into paths, cycles and stars","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hypercube; Stars; Computer science; Combinatorics; Mathematics; Parallel computing","score_opus":0.008895259087596917,"score_gpt":0.24989162598876793,"score_spread":0.24099636690117102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412533609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8864868,0.00070891436,0.09735316,0.00019515236,0.014560826,0.00019599551,6.514238e-7,0.00003137856,0.000467111],"genre_scores_gemma":[0.98567384,0.000070912116,0.0139571,0.00002667793,0.00025620125,0.000001088262,3.3053115e-7,0.000010110657,0.0000037335317],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997858,0.00015026415,0.0011845835,0.00021167478,0.0003891478,0.00020633555],"domain_scores_gemma":[0.9975011,0.00066521065,0.0008904172,0.00024711274,0.0005864213,0.0001097845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001488648,0.00021063734,0.0006957214,0.00033418823,0.00024158394,0.00023524369,0.00046083741,0.00013699089,8.869946e-7],"category_scores_gemma":[0.00018247434,0.0001849065,0.00014955836,0.00038522665,0.00008586607,0.00032915134,0.00031389092,0.0003009137,2.844389e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003336581,0.0002401742,0.00037576887,0.00024631346,0.00010011187,0.000008062993,0.0016011314,0.000046368034,0.0018494728,0.98930717,0.00017776944,0.006014297],"study_design_scores_gemma":[0.0030513324,0.00064731546,0.00046296685,0.0010567466,0.000062311934,0.000099382574,0.0005012897,0.061713867,0.0018167708,0.9300168,0.00033328496,0.00023793762],"about_ca_topic_score_codex":0.000032295487,"about_ca_topic_score_gemma":8.48985e-7,"teacher_disagreement_score":0.09918703,"about_ca_system_score_codex":0.000051045557,"about_ca_system_score_gemma":0.000099774436,"threshold_uncertainty_score":0.75402683},"labels":[],"label_agreement":null},{"id":"W4413472841","doi":"10.61091/jcmcc126-24","title":"The polychromatic domination number","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics","score_opus":0.010896539075305703,"score_gpt":0.2957728304822263,"score_spread":0.2848762914069206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413472841","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3348408,0.0012124333,0.6094602,0.002629841,0.040600386,0.00073489535,6.894839e-7,0.00012966743,0.010391146],"genre_scores_gemma":[0.9842646,0.00006468369,0.015193523,0.00003598106,0.00036866474,0.0000028724703,1.408028e-7,0.000013664422,0.00005587563],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99743104,0.00023439783,0.001010117,0.0002025136,0.00074167945,0.00038025464],"domain_scores_gemma":[0.9950763,0.002832924,0.0007743741,0.00047693792,0.0007137452,0.00012571596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032939152,0.00021583063,0.00046907258,0.00019522279,0.00077678415,0.00067870435,0.0014341234,0.00010501062,0.0000018173274],"category_scores_gemma":[0.0012037485,0.00015385503,0.00016185801,0.00081829575,0.0001713146,0.0004379187,0.00059216237,0.00050965365,0.0000047291555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033707976,0.00015362952,0.000098159064,0.00006251917,0.000073504365,0.0000092401415,0.0003631223,0.000008200647,0.00019953997,0.98951316,0.00032705636,0.00915815],"study_design_scores_gemma":[0.0020686924,0.00017170107,0.00014263428,0.00022700004,0.000026004098,0.000070417744,0.00017073378,0.012305423,0.00075718574,0.98232484,0.0015904551,0.00014489575],"about_ca_topic_score_codex":0.0000020569612,"about_ca_topic_score_gemma":1.8610734e-7,"teacher_disagreement_score":0.6494238,"about_ca_system_score_codex":0.00010556722,"about_ca_system_score_gemma":0.00022469345,"threshold_uncertainty_score":0.65447617},"labels":[],"label_agreement":null},{"id":"W4413472863","doi":"10.61091/jcmcc126-23","title":"Constructing strong starters of orders 3p: triplication with SAT solver","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Parallel computing; Boolean satisfiability problem; Problem solver; Solver; Arithmetic; Algorithm; Mathematics; Programming language; Computational science","score_opus":0.006000475268581502,"score_gpt":0.2121616487559696,"score_spread":0.2061611734873881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413472863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9667256,0.00023443082,0.022842282,0.000024561996,0.0074802814,0.00022437684,0.0000021654573,0.000046676192,0.00241964],"genre_scores_gemma":[0.9980459,0.0000094659645,0.0016951795,0.0000037208597,0.00021768587,0.0000013988354,0.0000011268378,0.00002276892,0.000002713418],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983191,0.00006201623,0.0009597233,0.00010501365,0.0003301585,0.00022400598],"domain_scores_gemma":[0.99839276,0.000413008,0.000583522,0.00018741352,0.0003415636,0.00008171364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000873888,0.0002196242,0.0006570054,0.00024479252,0.00011589894,0.00008114564,0.00023490374,0.00011474801,0.0000030471952],"category_scores_gemma":[0.0000900021,0.00019028067,0.000112165035,0.00037790654,0.00010975334,0.0001599905,0.00004778379,0.0003243291,3.666779e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009940948,0.00012320215,0.0010796123,0.0006800117,0.00033711377,0.0000039029123,0.0010445509,0.00060448627,0.001211941,0.9925567,0.000109916284,0.0021491474],"study_design_scores_gemma":[0.01895619,0.0016368852,0.00043746582,0.0045457026,0.00074076356,0.00020270224,0.017449483,0.043141186,0.016119251,0.8948345,0.00090744573,0.0010284174],"about_ca_topic_score_codex":0.0000041645735,"about_ca_topic_score_gemma":5.723481e-7,"teacher_disagreement_score":0.097722195,"about_ca_system_score_codex":0.00007769289,"about_ca_system_score_gemma":0.000077080476,"threshold_uncertainty_score":0.7759421},"labels":[],"label_agreement":null},{"id":"W4413472865","doi":"10.61091/jcmcc126-25","title":"Incident vertex pi coloring of middle, total, line and splitting graph for star and double star graph families","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Star (game theory); Vertex (graph theory); Graph; Physics; Line graph; Mathematics; Astrophysics","score_opus":0.019209149638133423,"score_gpt":0.25284568475506686,"score_spread":0.23363653511693344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413472865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97502536,0.0018829838,0.015359521,0.00018274391,0.0070201126,0.00040686977,0.0000022660581,0.000040375147,0.00007977427],"genre_scores_gemma":[0.9675778,0.00021078743,0.032071084,0.000027961702,0.000084651205,0.000003915783,6.6449326e-7,0.000017479944,0.000005667302],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99733055,0.00007275778,0.0013933253,0.00034581637,0.0004936724,0.0003638808],"domain_scores_gemma":[0.99647254,0.0011407433,0.0010841936,0.00029452017,0.0008253508,0.00018263819],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022973511,0.00031009488,0.000919405,0.0005172013,0.00041803165,0.00032411804,0.00042603925,0.00015496774,3.644974e-7],"category_scores_gemma":[0.00036586178,0.0002790459,0.0001631602,0.000587562,0.00017134541,0.00033676342,0.00056886976,0.00033643103,8.8599e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015366591,0.0003039462,0.00030922415,0.0008230591,0.00016222135,0.000005716346,0.0015581942,0.00006472551,0.001765211,0.99326634,0.000049722028,0.001537964],"study_design_scores_gemma":[0.007989345,0.0012175798,0.00020984074,0.0012719673,0.00013708968,0.00004361716,0.00066888327,0.020591242,0.003650258,0.9638454,0.00008361385,0.00029120198],"about_ca_topic_score_codex":0.000030179415,"about_ca_topic_score_gemma":8.4085707e-7,"teacher_disagreement_score":0.029420989,"about_ca_system_score_codex":0.000033244192,"about_ca_system_score_gemma":0.00014695337,"threshold_uncertainty_score":0.99996614},"labels":[],"label_agreement":null},{"id":"W4414581245","doi":"10.61091/jcmcc127-14","title":"On <span class=\"math inline\">\\(z\\)</span>-cycle factorizations with two associate classes where <span class=\"math inline\">\\(z\\)</span> is in <span class=\"math inline\">\\(\\{4,4a\\}\\)</span> with even parameters","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Rings, Modules, and Algebras","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multigraph; Natural number; Class (philosophy); Vertex (graph theory); Existential quantification","score_opus":0.01621430744962145,"score_gpt":0.2673297820134658,"score_spread":0.25111547456384437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96417886,0.0010150011,0.009895573,0.002277477,0.014789078,0.0035761404,0.0002785675,0.000784258,0.0032050218],"genre_scores_gemma":[0.97804374,0.0016457826,0.014375819,0.0004991539,0.0038128418,0.00012479183,0.00015384807,0.0008748496,0.00046920276],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9786704,0.0014810092,0.007590006,0.0028699397,0.005623072,0.0037655726],"domain_scores_gemma":[0.976523,0.006684551,0.00856538,0.0029183484,0.0035791409,0.0017296119],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00541343,0.0039042635,0.0072288136,0.00413214,0.0022626356,0.0026094886,0.003586123,0.0021304456,0.000052723448],"category_scores_gemma":[0.0041383062,0.003395928,0.0016087806,0.0061631775,0.000992669,0.0019338803,0.0016197012,0.0048632915,0.00007103118],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022795661,0.009598835,0.0028897133,0.002967359,0.0034942396,0.00047248128,0.0062946337,0.0044716788,0.0026535615,0.9516747,0.011894375,0.0013088557],"study_design_scores_gemma":[0.053973746,0.008472917,0.0023976967,0.01804613,0.0045822635,0.0005789849,0.002662317,0.21200515,0.002217317,0.6497808,0.037517406,0.0077652372],"about_ca_topic_score_codex":0.00010054457,"about_ca_topic_score_gemma":0.00040860949,"teacher_disagreement_score":0.30189386,"about_ca_system_score_codex":0.001836288,"about_ca_system_score_gemma":0.0023679978,"threshold_uncertainty_score":0.999165},"labels":[],"label_agreement":null},{"id":"W4414581247","doi":"10.61091/jcmcc127-11","title":"Prediction of cerebral palsy using deep learning techniques: gait analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cerebral palsy; Gait; Gait analysis; Intervention (counseling); Palsy; Deep learning","score_opus":0.016100351813811496,"score_gpt":0.2749279921274577,"score_spread":0.25882764031364625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683411,0.00048351995,0.025601864,0.000082793624,0.0032526276,0.00035508416,0.0000018358996,0.000041835796,0.0018393189],"genre_scores_gemma":[0.99272835,0.000068821726,0.0067395526,0.00003187284,0.00038971083,0.0000010362545,0.000003922108,0.000018356157,0.00001835538],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99756664,0.0000998908,0.0013670815,0.00018762337,0.0005341041,0.000244633],"domain_scores_gemma":[0.99759996,0.0002938634,0.0011438999,0.00019576469,0.0006451626,0.000121323326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013162445,0.00023186432,0.0011271641,0.0007073976,0.00018801044,0.000058443282,0.00015816043,0.00018922742,0.000016743947],"category_scores_gemma":[0.0005024969,0.00020822471,0.00042481665,0.0010188882,0.00009149512,0.00012489346,0.00013179376,0.00050853664,2.0093592e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012153601,0.0038905588,0.13566807,0.003470232,0.007953118,0.000047351405,0.003551686,0.0008497297,0.019507932,0.81123036,0.00016803094,0.012447578],"study_design_scores_gemma":[0.038225528,0.007920892,0.021393484,0.0077013513,0.023008754,0.0002252074,0.0076600797,0.15574227,0.03690982,0.69675606,0.003160643,0.0012959066],"about_ca_topic_score_codex":0.00002442679,"about_ca_topic_score_gemma":6.0661444e-7,"teacher_disagreement_score":0.15489255,"about_ca_system_score_codex":0.00010321798,"about_ca_system_score_gemma":0.00015292403,"threshold_uncertainty_score":0.8491157},"labels":[],"label_agreement":null},{"id":"W4414581248","doi":"10.61091/jcmcc127-03","title":"Computation of independent fixed geodetic number of graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Vertex (graph theory); Geodesic; Graph; Computation; Set (abstract data type); Maximal independent set","score_opus":0.010870710636366944,"score_gpt":0.2733781605311413,"score_spread":0.2625074498947743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60488313,0.00023287616,0.38621086,0.00009842697,0.0076723117,0.00016546108,9.714726e-7,0.000016841479,0.000719093],"genre_scores_gemma":[0.9658499,0.000021542308,0.033948608,0.000016139227,0.00014755191,8.6829016e-7,0.0000010857639,0.000008231125,0.00000608869],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99728465,0.00013704544,0.0014737484,0.00019626702,0.00071968744,0.00018859725],"domain_scores_gemma":[0.9961913,0.0007298713,0.0015288962,0.000220623,0.0012420105,0.00008726673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014623007,0.00019839949,0.0006967307,0.00041323068,0.0001264646,0.00010021694,0.0005549223,0.00012641189,0.000002672211],"category_scores_gemma":[0.0003371835,0.00018877868,0.00019633789,0.000905586,0.00007826542,0.00028256534,0.00030120488,0.00025868585,6.7444205e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004213204,0.0005107504,0.00053192326,0.0002984216,0.00012144266,0.0000039801726,0.0006101782,0.0011218255,0.001376215,0.98960555,0.000099973804,0.005677625],"study_design_scores_gemma":[0.0030992322,0.0003530421,0.0010435337,0.00050393894,0.000075964446,0.00004899397,0.00010397284,0.05526868,0.006393189,0.93286765,0.000072546434,0.00016925928],"about_ca_topic_score_codex":0.000008206271,"about_ca_topic_score_gemma":1.8301553e-7,"teacher_disagreement_score":0.36096674,"about_ca_system_score_codex":0.000046294856,"about_ca_system_score_gemma":0.0002771024,"threshold_uncertainty_score":0.7698171},"labels":[],"label_agreement":null},{"id":"W4414581249","doi":"10.61091/jcmcc127-21","title":"Quasi-static equilibrium of magic squares","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Mount Saint Vincent University","keywords":"Magic square; MAGIC (telescope); Least-squares function approximation; Coulomb; Point (geometry); Random variable","score_opus":0.020490580849937396,"score_gpt":0.29374269817393156,"score_spread":0.2732521173239942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5670914,0.00080083526,0.4026493,0.00079208496,0.025630964,0.00035563693,0.0000017216264,0.00007443577,0.0026036266],"genre_scores_gemma":[0.97642696,0.000023378183,0.023121305,0.00004324739,0.00035042863,8.807292e-7,2.4028395e-7,0.000015444359,0.000018125978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99676687,0.0001607823,0.0017477918,0.00025504897,0.0007140527,0.0003554607],"domain_scores_gemma":[0.99550265,0.0015699372,0.0013891576,0.00047419456,0.00092533126,0.00013872747],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018206697,0.00027594925,0.0008940316,0.0004211648,0.00012885952,0.0002799766,0.0013422513,0.00014341637,0.0000050866374],"category_scores_gemma":[0.0010571792,0.00024786082,0.00022830711,0.0007550616,0.00017937487,0.00044435702,0.0006107782,0.00041023205,0.000003290532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034876597,0.00073413324,0.00014528686,0.00028123517,0.00009056342,0.000016042903,0.0014559942,0.000089384,0.0014032191,0.99077237,0.0003843218,0.0045925747],"study_design_scores_gemma":[0.0010110771,0.0009296222,0.000040926818,0.0006230241,0.00006149022,0.000034205772,0.0004355736,0.048499227,0.013470665,0.9342622,0.0004133842,0.0002185627],"about_ca_topic_score_codex":0.000014367599,"about_ca_topic_score_gemma":2.6961828e-7,"teacher_disagreement_score":0.40933558,"about_ca_system_score_codex":0.00007479802,"about_ca_system_score_gemma":0.0003246866,"threshold_uncertainty_score":0.9999974},"labels":[],"label_agreement":null},{"id":"W4414581250","doi":"10.61091/jcmcc127-12","title":"Toughness and (a,b)-parity factors in graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Toughness; Parity (physics); Graph; Interval (graph theory)","score_opus":0.013042545847747224,"score_gpt":0.25234185979297236,"score_spread":0.23929931394522513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97955257,0.0007063181,0.008401355,0.00028929685,0.010326226,0.0001604148,3.7059976e-7,0.000040438084,0.00052300905],"genre_scores_gemma":[0.99252695,0.00005775037,0.007322271,0.000039680945,0.00003871866,8.166918e-7,2.2183765e-7,0.00000899283,0.0000046013956],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99789953,0.00011712406,0.0010053914,0.00026680777,0.00040717365,0.00030395138],"domain_scores_gemma":[0.997971,0.000734562,0.00054219237,0.00027505754,0.00033158535,0.00014560213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016683454,0.00024401316,0.0006777906,0.00051307894,0.00021751442,0.00034034782,0.00055616966,0.00015451523,6.960919e-7],"category_scores_gemma":[0.00040343622,0.00020783945,0.000105615814,0.00078860257,0.00010037248,0.00033515578,0.0004512442,0.00047542038,2.7947172e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015004524,0.00028612008,0.0041591953,0.000114507246,0.00003617615,0.000013500691,0.00087563304,0.000015411058,0.00025051527,0.9930453,0.00007598961,0.0011126745],"study_design_scores_gemma":[0.0028415467,0.00021897306,0.0015942007,0.0004318581,0.000026322823,0.000025585432,0.00017617256,0.006469591,0.0007386859,0.9871482,0.00013131056,0.00019752324],"about_ca_topic_score_codex":0.00002751068,"about_ca_topic_score_gemma":9.964625e-7,"teacher_disagreement_score":0.012974375,"about_ca_system_score_codex":0.000041067626,"about_ca_system_score_gemma":0.00013419914,"threshold_uncertainty_score":0.84754467},"labels":[],"label_agreement":null},{"id":"W4414581253","doi":"10.61091/jcmcc127-19","title":"Integer partitions of zero and compositional structures in finite groups","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Finite Group Theory Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Enumeration; Partition (number theory); Integer (computer science); Type (biology); Zero (linguistics); Algebraic number; Value (mathematics)","score_opus":0.026578443319688613,"score_gpt":0.31736794972748084,"score_spread":0.2907895064077922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98535633,0.00027869394,0.0095603075,0.0001687591,0.0030341968,0.00028444608,0.000006864693,0.000016120212,0.0012943015],"genre_scores_gemma":[0.9924962,0.000029905392,0.00721192,0.000016747326,0.00021275974,0.0000024467677,0.0000015049613,0.000021172847,0.0000073429087],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973485,0.00023283482,0.0013999875,0.00018491253,0.0005464445,0.00028735097],"domain_scores_gemma":[0.99386054,0.0045414413,0.0007444807,0.00021574784,0.0005257198,0.00011207963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002171609,0.0002392557,0.0008707405,0.00054978835,0.00015672944,0.00010658057,0.00031935435,0.00017247017,0.000012536437],"category_scores_gemma":[0.0018493418,0.00021517709,0.00013076853,0.00048138972,0.0002478098,0.00016275074,0.00030879834,0.0006414306,3.824818e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017474758,0.0005410121,0.0007579076,0.0005613563,0.00010994488,0.00001521995,0.0009971812,0.000028447002,0.0007219836,0.99557436,0.00019863142,0.00031924085],"study_design_scores_gemma":[0.0037045162,0.00036940834,0.0005340972,0.00087770633,0.00007466339,0.000041441566,0.00039026677,0.0017446931,0.0009580286,0.99108505,0.000058222733,0.00016192408],"about_ca_topic_score_codex":0.0000065845297,"about_ca_topic_score_gemma":0.0000010551988,"teacher_disagreement_score":0.0071398895,"about_ca_system_score_codex":0.000075373166,"about_ca_system_score_gemma":0.00014546345,"threshold_uncertainty_score":0.8774667},"labels":[],"label_agreement":null},{"id":"W4414581257","doi":"10.61091/jcmcc127-02","title":"Combinatorics on the joint distribution of hairpins and stacks in RNA secondary structures","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Anhui Province; National Natural Science Foundation of China","keywords":"Joint (building); RNA; Nucleic acid secondary structure; Enumeration; Protein secondary structure; Joint probability distribution","score_opus":0.009958759992864226,"score_gpt":0.23883374744552255,"score_spread":0.22887498745265833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927075,0.0007285959,0.0019384699,0.00025974886,0.0034297728,0.00026783583,0.000006848021,0.0000042587753,0.0006569856],"genre_scores_gemma":[0.9993208,0.00014106266,0.0002487549,0.00003937545,0.00022071271,0.0000022766558,0.0000035137657,0.000014206225,0.000009264924],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99832356,0.0001688366,0.000817382,0.00018612429,0.00030118047,0.00020292385],"domain_scores_gemma":[0.99847656,0.00029483504,0.00065627525,0.00024372003,0.00026136034,0.000067255954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014158839,0.00021578751,0.0005045899,0.000112646565,0.00015560322,0.000072391864,0.00026066072,0.00019681826,0.0000026121413],"category_scores_gemma":[0.0007149864,0.00016104404,0.00011432137,0.00019152989,0.00012244916,0.000011093585,0.00020827487,0.00034374336,1.3175696e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017408798,0.00025020857,0.00018240201,0.00017689103,0.000094561496,0.0000045030774,0.00018781716,0.000016918413,0.035296373,0.96127826,0.00030792248,0.0020300783],"study_design_scores_gemma":[0.0030994208,0.0011792971,0.0013254238,0.0004887941,0.00005673538,0.000021109527,0.0004346963,0.0002510021,0.16097246,0.8309544,0.0010044804,0.00021222496],"about_ca_topic_score_codex":0.000007653505,"about_ca_topic_score_gemma":5.6803555e-7,"teacher_disagreement_score":0.13032389,"about_ca_system_score_codex":0.00003509356,"about_ca_system_score_gemma":0.0001544935,"threshold_uncertainty_score":0.65671855},"labels":[],"label_agreement":null},{"id":"W4414581259","doi":"10.61091/jcmcc127-08","title":"Group distance magic set of group vertex magic graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"MAGIC (telescope); Abelian group; Vertex (graph theory); Graph; Group (periodic table)","score_opus":0.010493538450464808,"score_gpt":0.24252165996461722,"score_spread":0.23202812151415242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75514156,0.0032625496,0.19252248,0.000686323,0.045030564,0.00056344725,0.000005063843,0.00015226533,0.0026357304],"genre_scores_gemma":[0.9808824,0.00008200558,0.018851008,0.000060225866,0.00009060547,0.0000010088611,0.0000011803623,0.000018984687,0.0000125876195],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965738,0.00017217244,0.0016651308,0.00035832927,0.00081299857,0.0004175745],"domain_scores_gemma":[0.99634093,0.00081136933,0.001407661,0.00055957725,0.0006868852,0.0001935575],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022161836,0.00035169994,0.0009958815,0.0004933004,0.00023695771,0.00028173902,0.0012019977,0.00017791001,0.0000030189851],"category_scores_gemma":[0.0003364271,0.00030844155,0.00030403485,0.0011278915,0.00018155988,0.00038591548,0.0005362065,0.0005297567,0.0000021133378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004830185,0.0004383251,0.0002813738,0.0003077846,0.00011109115,0.000018766355,0.00047338585,0.000016590582,0.0011551233,0.99452454,0.00054714753,0.0020775946],"study_design_scores_gemma":[0.0039340104,0.0006346473,0.0001451446,0.0008487359,0.00008334499,0.000047309706,0.00011817211,0.010817,0.00058504334,0.98186,0.0006533545,0.00027324999],"about_ca_topic_score_codex":0.000015419957,"about_ca_topic_score_gemma":5.439678e-7,"teacher_disagreement_score":0.22574082,"about_ca_system_score_codex":0.0000576532,"about_ca_system_score_gemma":0.0001328068,"threshold_uncertainty_score":0.99993676},"labels":[],"label_agreement":null},{"id":"W4414581267","doi":"10.61091/jcmcc127-15","title":"A study on roman domination lower deg-centric graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Graph; Domination analysis; Upper and lower bounds; Graph theory; Dominating set; Connectivity","score_opus":0.0164604518090323,"score_gpt":0.30108273144938125,"score_spread":0.2846222796403489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8996515,0.00018871199,0.07865416,0.00026255834,0.01817863,0.0007130702,5.6441394e-7,0.00007911361,0.002271654],"genre_scores_gemma":[0.99491584,0.000013357289,0.00470875,0.00003927278,0.00027978185,0.0000044043773,2.27495e-7,0.000019781282,0.000018599672],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965618,0.0003677762,0.0011359643,0.0003818806,0.001107025,0.00044552336],"domain_scores_gemma":[0.9961238,0.0014879451,0.0008256942,0.00058127596,0.0007889279,0.00019233683],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031961743,0.00032785,0.0007407467,0.0009483349,0.00043975082,0.00048143475,0.0013703144,0.00012967027,0.0000020838588],"category_scores_gemma":[0.0008922147,0.00028584752,0.00021274581,0.0015397058,0.000088510584,0.00044520455,0.00060924946,0.0007049152,0.0000036575452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013062725,0.002271357,0.0004121985,0.00005098672,0.00012849299,0.000091492766,0.00095204887,0.000033409808,0.00013541599,0.992219,0.00016383447,0.0034111773],"study_design_scores_gemma":[0.0066970685,0.0025152527,0.00079284713,0.00030383302,0.000056761644,0.000040408526,0.00047319086,0.003656813,0.00046606248,0.98447573,0.00025563192,0.00026639842],"about_ca_topic_score_codex":0.0000020771886,"about_ca_topic_score_gemma":1.8312242e-7,"teacher_disagreement_score":0.09526429,"about_ca_system_score_codex":0.00014726752,"about_ca_system_score_gemma":0.00018617036,"threshold_uncertainty_score":0.99995935},"labels":[],"label_agreement":null},{"id":"W4414581268","doi":"10.61091/jcmcc127-07","title":"Total colorings of k-regular graphs of girths 2k and k","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Antipodal point; Hamming graph; Vertex (graph theory); Graph; Total coloring; Edge coloring; Orthogonality; Greedy coloring; Monochromatic color","score_opus":0.007878103378077712,"score_gpt":0.23104627774100372,"score_spread":0.22316817436292602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98390055,0.0010626068,0.008119951,0.00016865703,0.005868748,0.00017274026,9.654227e-7,0.000025047131,0.0006807199],"genre_scores_gemma":[0.98354363,0.000053443448,0.01633957,0.000013714972,0.000031514443,7.040135e-7,1.7399233e-7,0.000009954412,0.0000072600915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975593,0.00009026147,0.0013458048,0.0002200447,0.0005458738,0.0002386866],"domain_scores_gemma":[0.9968426,0.00064953126,0.0012886539,0.00031862644,0.00077258993,0.00012795371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016422266,0.00022269526,0.00087374117,0.00042759525,0.00014837194,0.000105885025,0.0005212054,0.00014135554,8.74871e-7],"category_scores_gemma":[0.00032590877,0.000196487,0.00017702585,0.0006665679,0.0001974964,0.00022582621,0.0004809895,0.00029049642,1.5160137e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003776995,0.00033264502,0.00036682579,0.00034486494,0.00011637848,0.0000053181598,0.00054281426,0.000031185566,0.0044209473,0.99236053,0.000072117335,0.0013685973],"study_design_scores_gemma":[0.003333928,0.00076297804,0.00030778244,0.0007677057,0.00008186642,0.000048361893,0.00013649632,0.0050030346,0.0101644145,0.97914284,0.00008191651,0.0001686985],"about_ca_topic_score_codex":0.000014048592,"about_ca_topic_score_gemma":1.0465597e-7,"teacher_disagreement_score":0.013217718,"about_ca_system_score_codex":0.000019567662,"about_ca_system_score_gemma":0.00014135546,"threshold_uncertainty_score":0.80125076},"labels":[],"label_agreement":null},{"id":"W4414581269","doi":"10.61091/jcmcc127-09","title":"On the existence of balanced chain rule task sets","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Graph; Construct (python library); Partition (number theory); Directed graph; Task (project management); Directed acyclic graph; Computation; Function (biology)","score_opus":0.014374280268377858,"score_gpt":0.2535380844587439,"score_spread":0.239163804190366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86248755,0.000669208,0.08866115,0.0028552422,0.029802093,0.0006254358,0.000003357137,0.00007568984,0.014820264],"genre_scores_gemma":[0.9898279,0.000030079282,0.009737743,0.00015320953,0.00023143447,0.0000016833455,2.2601043e-7,0.000009981269,0.000007763213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99763405,0.00016609665,0.0010320852,0.00022401288,0.0006481438,0.0002956042],"domain_scores_gemma":[0.9960958,0.0018130923,0.0010623179,0.00050203805,0.00043225632,0.00009449006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020821202,0.00024218741,0.00067123806,0.00018714124,0.00028880613,0.00023065408,0.0013444382,0.000119101496,0.000002466857],"category_scores_gemma":[0.0007402137,0.00016062397,0.00018978833,0.00058738067,0.000119422344,0.00016341844,0.00044303155,0.00045534442,0.0000016428203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003264759,0.00031695666,0.000039319173,0.00008704187,0.000062416984,0.000010196023,0.0006411106,0.0000380112,0.0002346548,0.9951472,0.00054443255,0.0028459767],"study_design_scores_gemma":[0.0018117668,0.0005473278,0.00016941638,0.00051611156,0.000029281387,0.000023171626,0.00013576419,0.020260883,0.0007439176,0.9752948,0.00030715682,0.00016040131],"about_ca_topic_score_codex":0.0000048533166,"about_ca_topic_score_gemma":8.550178e-8,"teacher_disagreement_score":0.12734032,"about_ca_system_score_codex":0.000054080425,"about_ca_system_score_gemma":0.0001747068,"threshold_uncertainty_score":0.6550056},"labels":[],"label_agreement":null},{"id":"W4414581271","doi":"10.61091/jcmcc127-06","title":"The {2}-domination in rooted product graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Graph; Vertex (graph theory); Product (mathematics); Graph product; Line graph; Block graph; Connectivity","score_opus":0.012288716764623476,"score_gpt":0.28850146660855935,"score_spread":0.2762127498439359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79730344,0.0030206554,0.15794668,0.0031425809,0.034479905,0.0011244186,6.523086e-7,0.000101236175,0.0028804366],"genre_scores_gemma":[0.99331063,0.00009134095,0.006343218,0.000019237395,0.0002002274,0.0000037195866,1.6645423e-7,0.000011636509,0.000019797333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997321,0.0002858406,0.0010744281,0.00025486702,0.0006631842,0.0004006495],"domain_scores_gemma":[0.996111,0.0019756164,0.0006643847,0.00046391026,0.00069050386,0.00009461701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045188535,0.00021130769,0.00048220734,0.00049466064,0.00046253233,0.0004591657,0.0013554803,0.00008508937,4.7263268e-7],"category_scores_gemma":[0.001685079,0.00015651048,0.00012826116,0.0014616487,0.00014851156,0.0004281647,0.0005186821,0.0006530253,8.629431e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058874724,0.00021853801,0.00030342344,0.00005361811,0.000038086982,0.000013920042,0.00040662906,0.000037496317,0.00033419134,0.98626673,0.000111025045,0.012157472],"study_design_scores_gemma":[0.0025984873,0.0002066324,0.00068787654,0.00025046698,0.000012454867,0.000028189539,0.00011363916,0.011613259,0.0011278477,0.98243386,0.0007825091,0.00014481017],"about_ca_topic_score_codex":0.0000043102345,"about_ca_topic_score_gemma":0.0000012329136,"teacher_disagreement_score":0.19600722,"about_ca_system_score_codex":0.00011340901,"about_ca_system_score_gemma":0.00023761805,"threshold_uncertainty_score":0.6382312},"labels":[],"label_agreement":null},{"id":"W4414581273","doi":"10.61091/jcmcc127-20","title":"Assigning airport gates during a pandemic using tolerance graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hrvatska Zaklada za Znanost","keywords":"Generalization; Scheduling (production processes); Graph; Graph coloring; Interval (graph theory); Clique","score_opus":0.020069160716700386,"score_gpt":0.2993154395757704,"score_spread":0.27924627885907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8409336,0.00064250437,0.14920203,0.0000624481,0.008447963,0.00023553235,4.6116952e-7,0.0000857026,0.00038975987],"genre_scores_gemma":[0.9683471,0.000051154253,0.03118898,0.000022936778,0.00035479115,0.0000018924011,1.5535522e-7,0.000023805074,0.00000921328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967134,0.00019529932,0.0013364994,0.00037709242,0.0008091168,0.00056857977],"domain_scores_gemma":[0.99654377,0.00088876474,0.0011368253,0.00048092337,0.00073867606,0.00021103522],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002412371,0.00034530324,0.0008933271,0.0006402691,0.00061991933,0.0004293104,0.001282945,0.00016936801,0.000001886641],"category_scores_gemma":[0.0006164439,0.0003222896,0.00024177937,0.0011995542,0.00015231215,0.0007092736,0.0007592477,0.0008061379,9.0055244e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007125842,0.00019997322,0.002878643,0.00024663328,0.00012216196,0.0000620915,0.00060455466,0.0005126193,0.008883895,0.9848847,0.000019376335,0.0015140941],"study_design_scores_gemma":[0.003504864,0.00022193199,0.00072428054,0.00093979115,0.000048156933,0.00022718395,0.00015009644,0.040432874,0.0036748429,0.9496606,0.00008142116,0.00033397335],"about_ca_topic_score_codex":0.000005617567,"about_ca_topic_score_gemma":1.6049007e-7,"teacher_disagreement_score":0.12741347,"about_ca_system_score_codex":0.00020927409,"about_ca_system_score_gemma":0.00039568948,"threshold_uncertainty_score":0.99992293},"labels":[],"label_agreement":null},{"id":"W4414581274","doi":"10.61091/jcmcc127-13","title":"Counting of lattices containing up to four comparable reducible elements and having nullity up to three","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algebra and Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Isomorphism (crystallography); Partially ordered set; Cover (algebra); Class (philosophy); Algebra over a field","score_opus":0.028592245136805163,"score_gpt":0.29708836767136315,"score_spread":0.268496122534558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79408306,0.0002486605,0.19325244,0.0002904195,0.011238597,0.0003591103,0.0000010475311,0.000037002697,0.000489694],"genre_scores_gemma":[0.957232,0.000010491479,0.042328503,0.0000945893,0.00030068058,0.0000027661008,2.4693247e-7,0.000015265829,0.000015439917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99690884,0.000099340694,0.0014881853,0.000390523,0.00064599444,0.0004671008],"domain_scores_gemma":[0.9965068,0.00095028436,0.0011162173,0.0003952723,0.00076775765,0.00026363647],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026937092,0.0003082077,0.0010069537,0.00036293498,0.00041297148,0.00041041616,0.0008996208,0.00010917061,0.0000022073364],"category_scores_gemma":[0.00085921225,0.00028786575,0.000113743896,0.0006389238,0.00006077928,0.00045577832,0.0009354848,0.0003905269,0.0000012660801],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014547697,0.000157939,0.002709288,0.00030871434,0.00012230701,0.000011290412,0.0034806922,0.00024230956,0.0015366309,0.9853476,0.00015991768,0.0057777883],"study_design_scores_gemma":[0.0046638423,0.0013088462,0.0016609837,0.0017992684,0.00010575639,0.00004881581,0.0011733193,0.026343703,0.0026589395,0.958897,0.0008565246,0.00048298514],"about_ca_topic_score_codex":0.000022748529,"about_ca_topic_score_gemma":0.0000026327768,"teacher_disagreement_score":0.16314898,"about_ca_system_score_codex":0.000094737276,"about_ca_system_score_gemma":0.00018415967,"threshold_uncertainty_score":0.9999573},"labels":[],"label_agreement":null},{"id":"W4414581279","doi":"10.61091/jcmcc127-04","title":"Athlete movement recognition based on deep learning: Exploration combined with biodynamics","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Deep learning; Movement (music); Recall; Encoder; Baseline (sea); Path (computing); Scalability","score_opus":0.015036132297522832,"score_gpt":0.22944281533088567,"score_spread":0.21440668303336285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9287659,0.00004332776,0.048347436,0.0039700074,0.008487361,0.0006690198,0.000001130117,0.00020539583,0.009510436],"genre_scores_gemma":[0.9965648,0.000008553986,0.0020752861,0.00061756454,0.0006726188,0.0000073410456,0.000016408178,0.000029005927,0.000008414403],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998205,0.000030734805,0.0008416551,0.0002095764,0.00045590007,0.00025713988],"domain_scores_gemma":[0.99734133,0.00031753664,0.001157683,0.00020636641,0.00095508364,0.000021995997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010058632,0.00027950795,0.00050642533,0.00077506754,0.00046616473,0.000363834,0.00028013752,0.00017434859,0.000008485135],"category_scores_gemma":[0.000434264,0.0002398162,0.000099721605,0.0009953969,0.00011345025,0.0005261324,0.00012492806,0.0006135968,0.0000075903417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035137063,0.00080199033,0.0014748753,0.00024220432,0.00010566216,0.000012843539,0.00007037886,0.00054215686,0.0001595009,0.99019104,0.00017621665,0.0058717616],"study_design_scores_gemma":[0.0078631425,0.0010314554,0.00025663106,0.00093184365,0.00023831647,0.0000040881346,0.00080486946,0.11512404,0.00031447865,0.87159854,0.0014562792,0.00037631218],"about_ca_topic_score_codex":0.000013970491,"about_ca_topic_score_gemma":0.0000028751288,"teacher_disagreement_score":0.1185925,"about_ca_system_score_codex":0.00008253959,"about_ca_system_score_gemma":0.00006289112,"threshold_uncertainty_score":0.9779421},"labels":[],"label_agreement":null},{"id":"W4414581280","doi":"10.61091/jcmcc127-17","title":"\\(\\left(s,s+1,s+1,\\dots\\right)\\)-packing colorings and \\(\\left(1,s,s,\\dots\\right)\\)-packing colorings and d-distance colorings of distance graphs \\(D(1,t)\\)","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Upper and lower bounds; Graph; Vertex (graph theory); Bound graph; Chromatic scale; Wheel graph; Windmill graph; Graph power","score_opus":0.011218061044913212,"score_gpt":0.2712087827179902,"score_spread":0.259990721673077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9120452,0.0026843664,0.07354401,0.00053125963,0.007033315,0.00096902973,0.0000094782645,0.00015919068,0.0030241457],"genre_scores_gemma":[0.98435706,0.0004786963,0.014725673,0.000058619113,0.00024179704,0.000006671148,0.000001189795,0.0000671821,0.0000631187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99349403,0.00034656134,0.0024707518,0.0009893216,0.0015471958,0.0011521089],"domain_scores_gemma":[0.9918533,0.0029578274,0.00239703,0.0008454813,0.0013952439,0.0005511051],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037996483,0.0008422812,0.0020608085,0.000973406,0.0010656974,0.0009100681,0.0018045247,0.00038523594,0.0000067129354],"category_scores_gemma":[0.0011259252,0.0007938893,0.00031958873,0.0014180804,0.00091246795,0.0014236508,0.0016293345,0.0014069612,0.0000010145544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002939728,0.00040066964,0.0036851503,0.0009387805,0.0002535639,0.00009502624,0.0017652146,0.000029288363,0.0022740578,0.9891869,0.00007316752,0.0010042206],"study_design_scores_gemma":[0.0060379496,0.0011522969,0.0011258145,0.0022878,0.00015787798,0.00024909063,0.0005373179,0.0056471834,0.007300193,0.97059155,0.0041004326,0.0008125188],"about_ca_topic_score_codex":0.000016192374,"about_ca_topic_score_gemma":0.000003922966,"teacher_disagreement_score":0.07231185,"about_ca_system_score_codex":0.00028087173,"about_ca_system_score_gemma":0.0003794493,"threshold_uncertainty_score":0.9994512},"labels":[],"label_agreement":null},{"id":"W4414581285","doi":"10.61091/jcmcc127-10","title":"Block-transitive \\(2-(v,5,\\lambda)\\) designs with sporadic socle","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Socle; Automorphism; Block (permutation group theory); Automorphism group; Simple (philosophy)","score_opus":0.008054323735415675,"score_gpt":0.21302488808969655,"score_spread":0.20497056435428088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602001,0.0007698587,0.019250479,0.00005750409,0.014031761,0.00032912506,0.000002238981,0.00012669622,0.005232239],"genre_scores_gemma":[0.99819237,0.000028702949,0.0011897293,0.000014845352,0.00052109046,0.0000022613594,5.873367e-7,0.000038038863,0.000012372059],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99814594,0.00008900744,0.0008713123,0.00015979676,0.00040123722,0.00033268807],"domain_scores_gemma":[0.9985742,0.00041044023,0.00032956357,0.00020904058,0.00032785887,0.00014888361],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011204403,0.00031593637,0.0007696054,0.0002733854,0.00022522417,0.00015682206,0.00030339442,0.00016401845,0.0000038817598],"category_scores_gemma":[0.000066876615,0.00026535115,0.0001527031,0.00048293624,0.000109484,0.00017453563,0.000045820205,0.00050354307,0.0000017138955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000181573,0.0003098201,0.00023474962,0.00064908597,0.00053763896,0.00007484464,0.0019963828,0.0009178814,0.002523616,0.99107486,0.00048760395,0.0010119621],"study_design_scores_gemma":[0.010682752,0.0014225321,0.00029953913,0.0027318199,0.0005396375,0.0004132307,0.0025025231,0.018702976,0.010502479,0.94912285,0.0021992994,0.0008803586],"about_ca_topic_score_codex":0.0000028154811,"about_ca_topic_score_gemma":3.7353414e-7,"teacher_disagreement_score":0.04195199,"about_ca_system_score_codex":0.00007894587,"about_ca_system_score_gemma":0.000101977435,"threshold_uncertainty_score":0.99997985},"labels":[],"label_agreement":null},{"id":"W4414581290","doi":"10.61091/jcmcc127-05","title":"On the sigma index of chemical graphs with a given order, number of edges and pendent vertices","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Shanxi Province; Shanxi Scholarship Council of China","keywords":"Sigma; Vertex (graph theory); Topological index; Graph; Mathematical chemistry; Order (exchange)","score_opus":0.014583138259976517,"score_gpt":0.2784154364126861,"score_spread":0.2638322981527096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955938,0.000082733444,0.0017819926,0.00024738908,0.00084169686,0.00027606424,0.0000021214123,0.000010419243,0.0011638195],"genre_scores_gemma":[0.99807614,0.00001647246,0.0017899742,0.000014300086,0.00007848244,0.0000037016848,2.4628042e-7,0.00001585994,0.000004846094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99824756,0.000111897316,0.0008770789,0.0001458311,0.0004482325,0.0001694144],"domain_scores_gemma":[0.9946206,0.003436705,0.0010602224,0.00026469232,0.0005479531,0.00006980463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012108102,0.00020831583,0.0006691286,0.000123962,0.00014147695,0.000052638716,0.0003416111,0.00011145456,0.000007829856],"category_scores_gemma":[0.0007949466,0.00013502901,0.00011396434,0.00042746478,0.0002811143,0.00006683997,0.00015088043,0.0003583795,1.4933735e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022994194,0.0007400759,0.00056572165,0.0003939175,0.00022302713,0.0000017573778,0.00082994526,0.0000040488626,0.0007554961,0.99582034,0.00015084542,0.00028488805],"study_design_scores_gemma":[0.0024098768,0.00031443927,0.00007116518,0.00084486423,0.00020305213,0.000025983984,0.00063053047,0.00042765198,0.008383594,0.98652774,0.000037906062,0.00012316642],"about_ca_topic_score_codex":0.000004398696,"about_ca_topic_score_gemma":2.148833e-7,"teacher_disagreement_score":0.009292566,"about_ca_system_score_codex":0.000017718705,"about_ca_system_score_gemma":0.00009227982,"threshold_uncertainty_score":0.5506323},"labels":[],"label_agreement":null},{"id":"W4414581293","doi":"10.61091/jcmcc127-16","title":"On the connected coalition number of graphs","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province; Natural Science Foundation of Shanxi Province; National Natural Science Foundation of China","keywords":"Cartesian product; Connectivity; Strongly connected component; Dominating set; Partition (number theory); Vertex (graph theory); Lexicographical order; Domination analysis","score_opus":0.016053839097720617,"score_gpt":0.29850830388490146,"score_spread":0.28245446478718084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8503079,0.00013584284,0.13306028,0.0008940533,0.010461205,0.00039988226,0.0000017285068,0.000047841626,0.004691257],"genre_scores_gemma":[0.99470186,0.000018684688,0.005070496,0.00006300426,0.00012208334,0.0000020495902,2.6533112e-7,0.000011400011,0.000010175515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99751705,0.0003110678,0.00095778634,0.00019786194,0.0007349217,0.00028131538],"domain_scores_gemma":[0.9936416,0.0040331027,0.00088153913,0.0004695377,0.0008806722,0.00009355599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025753009,0.00020863293,0.0005665379,0.0002637502,0.0002897952,0.00017477121,0.0011365818,0.00010920364,0.0000073329006],"category_scores_gemma":[0.0014347289,0.00014804536,0.00019222853,0.0009639092,0.00018554817,0.00022156435,0.00038284983,0.00053796393,0.0000020634175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007234077,0.00033055028,0.000109010354,0.000083610765,0.000093057984,0.000006738634,0.0003457448,0.000019158782,0.00042199285,0.9975235,0.00034081104,0.0006534781],"study_design_scores_gemma":[0.0019858552,0.00034524334,0.00008759501,0.00042846228,0.00002602843,0.000031090116,0.00014855475,0.0045841937,0.0027217441,0.9893646,0.00015021686,0.00012640365],"about_ca_topic_score_codex":0.0000030630808,"about_ca_topic_score_gemma":7.940355e-8,"teacher_disagreement_score":0.14439394,"about_ca_system_score_codex":0.000050711416,"about_ca_system_score_gemma":0.0001613263,"threshold_uncertainty_score":0.6037115},"labels":[],"label_agreement":null},{"id":"W4414581294","doi":"10.61091/jcmcc127-18","title":"A study of Fibonacci cordial labeling in structured graph families","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Injective function; Fibonacci number; Edge-graceful labeling; Graph; Graph labeling; Directed graph; Line graph; Voltage graph","score_opus":0.012057004389398347,"score_gpt":0.25724149637990584,"score_spread":0.24518449199050749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414581294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839938,0.00039579754,0.0038222254,0.000075136886,0.01109473,0.00032077203,5.0477433e-7,0.00003192841,0.000265054],"genre_scores_gemma":[0.99092937,0.000027534075,0.008941042,0.000019825131,0.00006657358,0.0000016668873,2.1627604e-7,0.000011680762,0.0000021109727],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969389,0.00018655945,0.0016507147,0.0002795472,0.00064237096,0.0003019105],"domain_scores_gemma":[0.9971385,0.0007173623,0.0010374258,0.00038474507,0.0006223251,0.00009965431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018426953,0.00026556532,0.00094356167,0.0008385879,0.0001742662,0.00017797903,0.00083120924,0.00013731109,7.5482774e-7],"category_scores_gemma":[0.0004470658,0.00023395389,0.00014103788,0.0013071849,0.000069837515,0.00024273824,0.00048040613,0.00048608097,2.2196068e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007580151,0.0014680511,0.002910141,0.00015429223,0.00012654332,0.000032785723,0.004634481,0.00042988698,0.0009694839,0.9868074,0.000062991494,0.0023281635],"study_design_scores_gemma":[0.008934269,0.0012108922,0.00087398797,0.00057940127,0.00006497413,0.000024492281,0.0018195444,0.0058713034,0.0008158106,0.9795489,0.000024727575,0.00023173202],"about_ca_topic_score_codex":0.000055703647,"about_ca_topic_score_gemma":0.000004664481,"teacher_disagreement_score":0.011028157,"about_ca_system_score_codex":0.0000425334,"about_ca_system_score_gemma":0.00019414251,"threshold_uncertainty_score":0.9540363},"labels":[],"label_agreement":null},{"id":"W4415257998","doi":"10.61091/jcmcc127-22","title":"Diffie-Hellman key exchange on the Heisenberg group","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Key exchange; Cryptography; Fibonacci number; Sequence (biology); Parameterized complexity; Simple (philosophy); Key (lock)","score_opus":0.01352453096487629,"score_gpt":0.251274929445359,"score_spread":0.2377503984804827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415257998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94292915,0.006116588,0.0029439847,0.002007648,0.03406196,0.000770768,0.000007884685,0.000024830371,0.011137171],"genre_scores_gemma":[0.99335814,0.0008543578,0.00057826797,0.0005108924,0.0045335,0.0000035610792,0.000005477527,0.000047580597,0.00010824398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953463,0.0005916136,0.001959133,0.00059879106,0.000734559,0.0007695708],"domain_scores_gemma":[0.99517554,0.001431945,0.0017625792,0.000661499,0.00069099426,0.00027744175],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003425848,0.0007493342,0.0012562663,0.00022649937,0.0009260994,0.00050275197,0.0012203152,0.00068364874,0.000019280145],"category_scores_gemma":[0.001570233,0.0005133574,0.0006370563,0.0005414358,0.00038347297,0.000019589435,0.0011724088,0.0012374385,0.0000052739824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084145606,0.0024413231,0.00037395925,0.0006868655,0.00095630484,0.000049596012,0.00064063084,0.000036480236,0.010382154,0.96390396,0.004870476,0.014816802],"study_design_scores_gemma":[0.018524002,0.014428108,0.00070268824,0.005317506,0.0011631371,0.00021832802,0.0022254584,0.0065545165,0.016208936,0.7460632,0.18627824,0.0023158866],"about_ca_topic_score_codex":0.0000055906935,"about_ca_topic_score_gemma":7.9716597e-7,"teacher_disagreement_score":0.21784076,"about_ca_system_score_codex":0.000105508494,"about_ca_system_score_gemma":0.00024199004,"threshold_uncertainty_score":0.9997318},"labels":[],"label_agreement":null},{"id":"W4415525816","doi":"10.61091/jcmcc128-03","title":"Preservers of strong vertex labeling numbers of graphs","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vertex (graph theory); Chromatic scale; Graph; Undirected graph; Operator (biology); Set (abstract data type)","score_opus":0.014176808644296579,"score_gpt":0.25928421115615846,"score_spread":0.2451074025118619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415525816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9155801,0.00570764,0.017714586,0.0003124477,0.057272565,0.000663609,0.000008669548,0.000045094832,0.0026953076],"genre_scores_gemma":[0.9853432,0.00029344184,0.014192156,0.000019794792,0.00009813861,0.0000010001326,7.426356e-7,0.000034510656,0.00001697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9925722,0.00039242173,0.0042629596,0.0005141485,0.0015834144,0.00067489344],"domain_scores_gemma":[0.98921174,0.001854956,0.0049120043,0.00083487463,0.0028626306,0.0003238085],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004700156,0.000614094,0.0022868267,0.0009958886,0.00038557543,0.00028871238,0.0018122805,0.0004378058,0.000007993657],"category_scores_gemma":[0.0013516186,0.0005955722,0.0007167567,0.0019499237,0.00042851034,0.0005347678,0.0011469772,0.0010072223,7.9557816e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018629748,0.0014942304,0.00071346224,0.001919516,0.00074323936,0.000014660835,0.002279894,0.00053276407,0.0020369557,0.987205,0.00037177384,0.0025021865],"study_design_scores_gemma":[0.0086158635,0.0015872964,0.00007400878,0.0058727795,0.0005473416,0.00003236319,0.0007105943,0.049511906,0.0063627344,0.9261453,0.00009299947,0.00044678446],"about_ca_topic_score_codex":0.00009192974,"about_ca_topic_score_gemma":7.701462e-7,"teacher_disagreement_score":0.06976316,"about_ca_system_score_codex":0.000092398914,"about_ca_system_score_gemma":0.0008974405,"threshold_uncertainty_score":0.9996496},"labels":[],"label_agreement":null},{"id":"W4415525818","doi":"10.61091/jcmcc128-06","title":"A solution to small cases of the honeymoon Oberwolfach problem","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Body Contouring and Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Honeymoon; Conjecture; Disjoint sets; Hang; Graph; Spouse","score_opus":0.0202821606941361,"score_gpt":0.2595760366855746,"score_spread":0.2392938759914385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415525818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93745536,0.0025781957,0.0026590656,0.001799656,0.052058514,0.0011151816,0.000005623837,0.000025323183,0.0023030583],"genre_scores_gemma":[0.99440837,0.00010000064,0.002121282,0.00010069731,0.0030632901,0.0000033187703,5.8728415e-7,0.000046651625,0.00015581657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9943769,0.0003831614,0.0031339389,0.00037508307,0.0010667186,0.00066418527],"domain_scores_gemma":[0.99248713,0.0021551813,0.0025304118,0.00063697697,0.0018131842,0.00037713812],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0042299577,0.0005530707,0.002013735,0.00054008444,0.00056951726,0.0002084311,0.00068616704,0.0004192964,0.000008671088],"category_scores_gemma":[0.0033792334,0.00042255034,0.0007167179,0.0012038004,0.00023910185,0.000122006575,0.0007588049,0.0012002524,0.0000021224803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021461085,0.0056581465,0.005817837,0.0076724524,0.0020067622,0.0001831376,0.0071319994,0.00016957399,0.010541184,0.93177724,0.0066549834,0.020240566],"study_design_scores_gemma":[0.04171184,0.010473582,0.006343245,0.07452481,0.007139821,0.0011116453,0.00459689,0.012542158,0.029783068,0.79911023,0.0103790825,0.002283618],"about_ca_topic_score_codex":0.00010505165,"about_ca_topic_score_gemma":0.000003027831,"teacher_disagreement_score":0.13266702,"about_ca_system_score_codex":0.0003035506,"about_ca_system_score_gemma":0.001387006,"threshold_uncertainty_score":0.9998226},"labels":[],"label_agreement":null},{"id":"W4415525834","doi":"10.61091/jcmcc128-02","title":"Decomposing hypercubes into cycles: An approach to the oberwolfach problem","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hypercube; Interconnection; Variety (cybernetics); Fault tolerance; Permutation (music)","score_opus":0.01720986096588445,"score_gpt":0.2685308993420815,"score_spread":0.25132103837619707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415525834","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25664276,0.0021163456,0.64741963,0.0016726855,0.08314969,0.0015612919,0.000001956792,0.000093085226,0.0073425476],"genre_scores_gemma":[0.95614874,0.000057908608,0.03909036,0.00025430397,0.004343294,0.000009368487,0.0000010211169,0.000054675274,0.000040340863],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99244404,0.00095263106,0.0035285112,0.0008087749,0.0013665179,0.0008995433],"domain_scores_gemma":[0.9932242,0.0012274026,0.002013307,0.0010962057,0.0018843239,0.00055454596],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0077624964,0.00079806295,0.0017900382,0.00065589056,0.0019650161,0.0033468432,0.003050458,0.00045754088,0.000003067779],"category_scores_gemma":[0.0004859634,0.0006062468,0.0005090231,0.0017350251,0.0002012496,0.00091025594,0.0014159253,0.0015141694,0.00000654413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119427605,0.001709278,0.00009892188,0.0006319969,0.0003712158,0.000012819296,0.016761795,0.0033152557,0.00019955623,0.957217,0.0012286151,0.018334122],"study_design_scores_gemma":[0.0040378105,0.0018219055,0.00010765389,0.0030072902,0.00032883318,0.00042625074,0.0040177125,0.46708617,0.0002789069,0.51159436,0.006423549,0.00086956465],"about_ca_topic_score_codex":0.00009895461,"about_ca_topic_score_gemma":0.0000031272007,"teacher_disagreement_score":0.699506,"about_ca_system_score_codex":0.000370125,"about_ca_system_score_gemma":0.0006393232,"threshold_uncertainty_score":0.9996389},"labels":[],"label_agreement":null},{"id":"W4415525836","doi":"10.61091/jcmcc128-01","title":"Enumeration and asymptotic analysis of edge-disjoint triangle packings in complete graphs","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Limits and Structures in Graph Theory","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Enumeration; Pairwise comparison; Graph; Complete graph; Relation (database); Graph theory","score_opus":0.01600846079553976,"score_gpt":0.27399262536955565,"score_spread":0.2579841645740159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415525836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773596,0.0025881988,0.004354366,0.0001514605,0.013942894,0.0006825458,0.000018594828,0.000017751589,0.0008846081],"genre_scores_gemma":[0.99576855,0.0003991729,0.0033693288,0.000032649383,0.00036819986,0.0000023491389,0.000003352351,0.000045767294,0.000010605136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9927802,0.0006522082,0.0044925115,0.00049667637,0.0009886066,0.00058978965],"domain_scores_gemma":[0.98952866,0.0045707733,0.004000806,0.0005739481,0.0010849109,0.00024091013],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0056050057,0.00069761387,0.0037671733,0.0027544857,0.00053336413,0.0003319524,0.0006251941,0.0005273555,0.000019977791],"category_scores_gemma":[0.0025407285,0.00064214936,0.0008579369,0.0028834653,0.00047952772,0.00029912713,0.00068325084,0.001088146,2.3057291e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039369808,0.001112959,0.0030844547,0.00166964,0.0032633033,0.000022733708,0.007931361,0.00011255111,0.00045159145,0.97985953,0.00006219401,0.002036],"study_design_scores_gemma":[0.00862564,0.0008704476,0.0026706741,0.0022549422,0.0050221724,0.000028510765,0.0014104935,0.025511647,0.00038863972,0.9526212,0.00010178275,0.0004938082],"about_ca_topic_score_codex":0.00003341281,"about_ca_topic_score_gemma":0.0000053138165,"teacher_disagreement_score":0.027238272,"about_ca_system_score_codex":0.00017202893,"about_ca_system_score_gemma":0.00027573973,"threshold_uncertainty_score":0.999603},"labels":[],"label_agreement":null},{"id":"W4415525844","doi":"10.61091/jcmcc128-05","title":"Backward edge-preserving maps between graphs","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Graph; Intersection graph; Vertex (graph theory); Line graph; Homomorphism; Class (philosophy); Graph homomorphism; Comparability graph","score_opus":0.023166008838318906,"score_gpt":0.3027298115669463,"score_spread":0.27956380272862735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415525844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4669779,0.0095544355,0.38791636,0.0024851626,0.118843704,0.0021457842,0.000027918992,0.00023310882,0.011815642],"genre_scores_gemma":[0.97649324,0.0003995753,0.020297341,0.0000668641,0.0025456406,0.0000041336425,0.0000022140605,0.000088119516,0.00010288811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98999345,0.0010375064,0.004055222,0.00097569014,0.0023789133,0.0015592072],"domain_scores_gemma":[0.98655623,0.005125888,0.0031334874,0.0015003023,0.002857626,0.00082645426],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008721023,0.0010537227,0.0028028109,0.0017651478,0.0013718789,0.0019071178,0.0047079073,0.0006970874,0.000019818675],"category_scores_gemma":[0.0029285443,0.0010428529,0.00088771427,0.0033729451,0.00065857364,0.0013799752,0.004197993,0.0028780107,0.000012656029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018446754,0.00082036084,0.0016072376,0.0011573791,0.0007715926,0.00009761594,0.0016689239,0.00005745055,0.00026538645,0.9754426,0.0013620523,0.01656496],"study_design_scores_gemma":[0.007547895,0.0013595026,0.00038209534,0.0031292906,0.00037820675,0.00008329639,0.0004772197,0.009851304,0.0011525062,0.9715587,0.0032598341,0.0008201413],"about_ca_topic_score_codex":0.000014727397,"about_ca_topic_score_gemma":4.215969e-7,"teacher_disagreement_score":0.50951535,"about_ca_system_score_codex":0.00035911778,"about_ca_system_score_gemma":0.0011749724,"threshold_uncertainty_score":0.9999282},"labels":[],"label_agreement":null},{"id":"W4415525854","doi":"10.61091/jcmcc128-04","title":"On star polynomials of digraphs and their applications to domination","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Star (game theory); Digraph; Directed graph; Macdonald polynomials; Orthogonal polynomials; A* search algorithm; Difference polynomials","score_opus":0.01529881721057274,"score_gpt":0.29956420065080497,"score_spread":0.2842653834402322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415525854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54657465,0.0017819364,0.4364008,0.00084376347,0.011104542,0.0017566669,0.000016276279,0.00003368181,0.0014877034],"genre_scores_gemma":[0.99077684,0.00016213564,0.008467382,0.00006394304,0.00047021479,0.00001063529,6.152157e-7,0.000032571108,0.00001565327],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9952903,0.00041056602,0.002262325,0.00055685494,0.00090679625,0.0005732004],"domain_scores_gemma":[0.9910024,0.00429593,0.001895599,0.00074118865,0.0016492397,0.00041569181],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0042094765,0.000544379,0.0015369013,0.0013951912,0.000573171,0.00048096382,0.0013825772,0.0002739474,0.0000036901504],"category_scores_gemma":[0.0013179522,0.00048366198,0.0003003657,0.0018998709,0.00036382856,0.0004024114,0.001043129,0.0008202047,0.0000016235624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034044796,0.0010069876,0.000038192815,0.0005387942,0.00023248921,0.000004320053,0.0024800408,0.00007026679,0.0024570182,0.96463186,0.0000779086,0.028121665],"study_design_scores_gemma":[0.004154573,0.0022163242,0.000112736474,0.0015036472,0.000090962785,0.000023810959,0.0005771938,0.008132568,0.0066697793,0.97550744,0.0006455,0.00036544382],"about_ca_topic_score_codex":0.000008104083,"about_ca_topic_score_gemma":5.5158836e-7,"teacher_disagreement_score":0.4442022,"about_ca_system_score_codex":0.00015114485,"about_ca_system_score_gemma":0.00045425503,"threshold_uncertainty_score":0.9997615},"labels":[],"label_agreement":null},{"id":"W4415556189","doi":"10.61091/jcmcc128-12","title":"Orientations of single-element extensions of graphic matroids","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Matroid; Dual graph; Graph; Extension (predicate logic); Dual (grammatical number)","score_opus":0.01094083733219656,"score_gpt":0.26904840621885195,"score_spread":0.25810756888665537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415556189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67593896,0.003604318,0.29888132,0.00023705408,0.018777933,0.0007171274,0.000019094929,0.00008081374,0.0017433956],"genre_scores_gemma":[0.96297127,0.00043124447,0.03618194,0.000008577535,0.00034783763,0.0000024220924,0.0000016381114,0.000048716913,0.000006363796],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9942447,0.00016010465,0.0039340626,0.00028105752,0.0009389572,0.00044114792],"domain_scores_gemma":[0.9929637,0.0015730796,0.002840457,0.00055515574,0.0018618905,0.0002057352],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013970584,0.00051027205,0.0021418363,0.0009992509,0.00021628666,0.00008046887,0.00074221473,0.00028564993,0.000016299315],"category_scores_gemma":[0.0015129822,0.0005022267,0.000655424,0.0018422984,0.00031998553,0.00024592935,0.0005404105,0.00070826296,4.3183167e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014506772,0.0026642971,0.00043226,0.0021679997,0.0012685148,0.000013119691,0.0011269565,0.0015692527,0.036042716,0.9503833,0.00032458993,0.0038619263],"study_design_scores_gemma":[0.003999382,0.0020774584,0.00015625604,0.0047513167,0.0016215802,0.00002777554,0.0015575414,0.020494802,0.05035377,0.91403985,0.00040013256,0.0005201456],"about_ca_topic_score_codex":0.000011984461,"about_ca_topic_score_gemma":3.6520015e-7,"teacher_disagreement_score":0.2870323,"about_ca_system_score_codex":0.00018328107,"about_ca_system_score_gemma":0.00019417169,"threshold_uncertainty_score":0.9997429},"labels":[],"label_agreement":null},{"id":"W4415556208","doi":"10.61091/jcmcc128-10","title":"Sharp bounds of partition resolvability of convex polytopes","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Combinatorial Mathematics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Polytope; Convex polytope; Convex set; Absolutely convex set; Partition (number theory); Regular polygon; Dimension (graph theory); Convex analysis; Subderivative; Convex hull","score_opus":0.020356511652674734,"score_gpt":0.30286762197907213,"score_spread":0.2825111103263974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415556208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91611993,0.0034769343,0.027646562,0.00037224937,0.045556363,0.0019078953,0.000053994572,0.00007352196,0.0047925194],"genre_scores_gemma":[0.9777478,0.00034772628,0.020587925,0.000019531906,0.0011228567,0.0000067152073,0.0000029293199,0.000120920406,0.00004362588],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9865859,0.0007267313,0.008767362,0.0006903348,0.0022542959,0.0009753761],"domain_scores_gemma":[0.97478867,0.0077081393,0.011002736,0.0014351769,0.0046420884,0.0004231695],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0071898736,0.001151227,0.005258385,0.0010268305,0.0004539247,0.00025129702,0.0016666078,0.0009622686,0.00006210778],"category_scores_gemma":[0.010103466,0.0011356894,0.0011334349,0.0017793083,0.0011835243,0.0006256125,0.0012119305,0.0016055496,0.00000240496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081260904,0.005357977,0.00042015576,0.011112354,0.0011232645,0.000015400588,0.0036225084,0.00005148638,0.00347879,0.9721042,0.0005255433,0.0013757221],"study_design_scores_gemma":[0.0103823785,0.0025547245,0.000104815284,0.008223831,0.001608953,0.000046224468,0.0020296338,0.0034203085,0.026956938,0.9434446,0.0005001428,0.00072741555],"about_ca_topic_score_codex":0.000026809788,"about_ca_topic_score_gemma":9.836676e-7,"teacher_disagreement_score":0.06162781,"about_ca_system_score_codex":0.00043225457,"about_ca_system_score_gemma":0.0013716494,"threshold_uncertainty_score":0.9991093},"labels":[],"label_agreement":null},{"id":"W4415556772","doi":"10.61091/jcmcc128-08","title":"Small hard-to-color graphs for the Sl algorithm","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Graph; Vertex (graph theory); Graph coloring; Graph power; Graph algorithms; Efficient algorithm","score_opus":0.03372772032434005,"score_gpt":0.297906942643309,"score_spread":0.26417922231896895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415556772","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039647217,0.0018400267,0.91603655,0.0039100177,0.071565494,0.002269744,0.000014711664,0.000047765763,0.00035099193],"genre_scores_gemma":[0.1526291,0.0008626363,0.84022826,0.000641995,0.0048907134,0.00006888706,0.0000028913805,0.00015118073,0.0005243048],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.992426,0.0005223706,0.0033396792,0.0008000422,0.001749252,0.001162696],"domain_scores_gemma":[0.9828795,0.00841315,0.0021854935,0.0011485704,0.0047178604,0.00065539166],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009922528,0.00078917,0.0018958,0.0010738734,0.0017279972,0.0026105978,0.003738007,0.00042530012,0.000014682505],"category_scores_gemma":[0.0050222804,0.0006211524,0.000743059,0.002707109,0.00033688816,0.00037281984,0.0018809374,0.0013659274,0.000007902365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001829957,0.001010281,0.00001811779,0.00052012416,0.00079704326,0.000024370058,0.001641792,0.001064387,0.000069286994,0.8974664,0.0031055773,0.094099574],"study_design_scores_gemma":[0.005860405,0.0013692137,0.000054855664,0.00075047597,0.00041290492,0.000056816447,0.00028605788,0.5795718,0.00032741838,0.4027293,0.008142783,0.00043802345],"about_ca_topic_score_codex":0.000020673202,"about_ca_topic_score_gemma":5.9327675e-7,"teacher_disagreement_score":0.57850736,"about_ca_system_score_codex":0.0002774993,"about_ca_system_score_gemma":0.0014911025,"threshold_uncertainty_score":0.99962395},"labels":[],"label_agreement":null},{"id":"W4415556773","doi":"10.61091/jcmcc128-07","title":"Cut vertex and unicyclic graphs with the maximum number of connected induced subgraphs","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wiener index; Connectivity; Graph; Vertex (graph theory); Real number; Topological index","score_opus":0.014070379590317605,"score_gpt":0.2755205080906672,"score_spread":0.2614501285003496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415556773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887514,0.0006621249,0.0014694178,0.0006339796,0.005391501,0.00094237487,0.000009172464,0.000032135405,0.0021078766],"genre_scores_gemma":[0.99748677,0.00022072406,0.0019074088,0.000049911807,0.00023985488,0.000008134459,0.0000013389772,0.00006600023,0.000019881134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99513143,0.00052899035,0.0024137395,0.00043705737,0.00090234564,0.00058642396],"domain_scores_gemma":[0.9886538,0.0055301404,0.0032997672,0.0007786827,0.0014664571,0.00027115742],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032535032,0.0007165,0.0019231443,0.00045306273,0.00089815137,0.00034912897,0.0009481462,0.00045453137,0.000018451581],"category_scores_gemma":[0.00079070806,0.00051585847,0.00040044036,0.0017677841,0.00081122306,0.00023995052,0.00048380223,0.0013674247,0.0000013437467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003497472,0.0014042618,0.00055113446,0.0009930469,0.0011279124,0.000012044168,0.0026374673,0.000002192058,0.00089549244,0.98999643,0.0002646899,0.0017655931],"study_design_scores_gemma":[0.008092692,0.0009000745,0.000247712,0.0022398583,0.00151872,0.00019963256,0.00320516,0.0010487073,0.0020723531,0.97969913,0.0002973629,0.00047857114],"about_ca_topic_score_codex":0.000021411106,"about_ca_topic_score_gemma":0.000003146982,"teacher_disagreement_score":0.010297262,"about_ca_system_score_codex":0.000061820465,"about_ca_system_score_gemma":0.00040337903,"threshold_uncertainty_score":0.9997293},"labels":[],"label_agreement":null},{"id":"W4415556774","doi":"10.61091/jcmcc128-11","title":"An efficient search strategy for hidden ideals in pointed partially ordered sets","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Fuzzy and Soft Set Theory","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Partially ordered set; Ideal (ethics); Ordered set; Degree (music); Total order","score_opus":0.0498530002894491,"score_gpt":0.3752434279594392,"score_spread":0.3253904276699901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415556774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94897974,0.0011633604,0.015250207,0.0005429534,0.031456925,0.0014227035,0.00002226995,0.00003164517,0.0011302093],"genre_scores_gemma":[0.9954843,0.00006353677,0.0031992663,0.00006974955,0.0010889355,0.000006184028,0.0000032065739,0.000056006822,0.000028818378],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9888111,0.0014584763,0.0053618113,0.0008605749,0.0023590878,0.0011489692],"domain_scores_gemma":[0.9825303,0.010527914,0.002354216,0.0008508294,0.0031497125,0.0005870488],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.023133224,0.0007365984,0.0025349876,0.0014395784,0.00081298035,0.0018086879,0.0021858837,0.0006600968,0.000039839353],"category_scores_gemma":[0.006798082,0.00065195246,0.0005773377,0.0019955921,0.00040379135,0.0004933581,0.00057712593,0.00136461,0.000006411297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019909025,0.0035241817,0.0002705004,0.0005542669,0.0002403165,0.000077399825,0.005214599,0.0061977585,0.0005683538,0.96391976,0.00032309338,0.01711889],"study_design_scores_gemma":[0.013062267,0.002783064,0.000306945,0.0015303305,0.00017258589,0.000040560422,0.0063645025,0.1782721,0.00068215956,0.7960623,0.00020418428,0.0005190029],"about_ca_topic_score_codex":0.000030416364,"about_ca_topic_score_gemma":0.000005794196,"teacher_disagreement_score":0.17207433,"about_ca_system_score_codex":0.000317172,"about_ca_system_score_gemma":0.002056055,"threshold_uncertainty_score":0.9995932},"labels":[],"label_agreement":null},{"id":"W4415556777","doi":"10.61091/jcmcc128-09","title":"Dimension of RC-lattices","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Rings, Modules, and Algebras","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dimension (graph theory); Lattice (music); Effective dimension; Dimension function; Block (permutation group theory); Inductive dimension; Dimension theory (algebra)","score_opus":0.018574844567927018,"score_gpt":0.2776053516368874,"score_spread":0.25903050706896036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415556777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93929315,0.0041829916,0.005131498,0.00034118438,0.046565782,0.0007095577,0.000006835131,0.00004280398,0.0037261907],"genre_scores_gemma":[0.986749,0.00051957974,0.0105420975,0.000036579688,0.0019779056,0.000001672609,0.0000011547855,0.00008873552,0.00008330031],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9918516,0.00038985547,0.00489275,0.0005222287,0.0015590886,0.0007844503],"domain_scores_gemma":[0.98673594,0.0041187364,0.005894235,0.00077941036,0.0021128526,0.00035880157],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0047661047,0.00086654397,0.003133179,0.0008525988,0.00055928534,0.00041332198,0.0011091008,0.0006428044,0.000032851796],"category_scores_gemma":[0.0030750125,0.0008006003,0.0007811316,0.00097345206,0.00046365443,0.00045939736,0.0009031787,0.0013387231,0.0000043659884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033513812,0.0028830406,0.00036391115,0.0046189525,0.00095207465,0.00003944223,0.0033572644,0.00002565861,0.0019259261,0.9810702,0.001067487,0.0033608978],"study_design_scores_gemma":[0.008969376,0.0015426745,0.00014651708,0.007947359,0.0014301467,0.00008789207,0.0017612098,0.004897895,0.008255247,0.9632401,0.0010718777,0.00064970873],"about_ca_topic_score_codex":0.000019242212,"about_ca_topic_score_gemma":6.3533406e-7,"teacher_disagreement_score":0.047455817,"about_ca_system_score_codex":0.00020687301,"about_ca_system_score_gemma":0.0006977082,"threshold_uncertainty_score":0.9994445},"labels":[],"label_agreement":null},{"id":"W4416041048","doi":"10.61091/jcmcc128-13","title":"k4-e supermagic labeling of triangular ladders","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bijection; Vertex (graph theory); Graph; Set (abstract data type); Integer (computer science); Edge-graceful labeling","score_opus":0.013861091110503198,"score_gpt":0.2556344784091119,"score_spread":0.2417733872986087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416041048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82886523,0.016758028,0.04655448,0.0015193081,0.10253345,0.0010049624,0.000008403169,0.00010170339,0.0026544547],"genre_scores_gemma":[0.9758947,0.0004224531,0.023129486,0.0000922489,0.0003796907,0.0000013176964,9.612547e-7,0.000044107557,0.00003506136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9924114,0.00047680532,0.004209481,0.00060454424,0.0014985163,0.00079927244],"domain_scores_gemma":[0.9898222,0.0017784067,0.004467835,0.00086699065,0.002666746,0.00039782305],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005999256,0.0007157931,0.0023550836,0.0011122825,0.00058986625,0.00064100575,0.0017470443,0.0005123939,0.000012799301],"category_scores_gemma":[0.0020957948,0.0006777545,0.00070178846,0.0019943523,0.00044401523,0.00054614095,0.001082137,0.001248248,0.0000031917332],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015626487,0.0014516742,0.0002024143,0.0011984365,0.0006021486,0.00004921824,0.0026793266,0.00024529384,0.0043743993,0.9825564,0.00060201326,0.0058824318],"study_design_scores_gemma":[0.012236824,0.0014632266,0.000033889082,0.0042849397,0.00062101986,0.00010384254,0.0007297191,0.04703278,0.0066478183,0.92567897,0.00056133553,0.0006056171],"about_ca_topic_score_codex":0.000034077242,"about_ca_topic_score_gemma":3.2067908e-7,"teacher_disagreement_score":0.14702946,"about_ca_system_score_codex":0.00011715841,"about_ca_system_score_gemma":0.0010580354,"threshold_uncertainty_score":0.9995674},"labels":[],"label_agreement":null},{"id":"W4416041051","doi":"10.61091/jcmcc128-14","title":"Period of Pell-Narayana sequence in groups","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Mathematical Theories and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sequence (biology); Modulo; Period (music); Group (periodic table); Periodic sequence; Binary number; Orbit (dynamics)","score_opus":0.012851878176912317,"score_gpt":0.2869487487695935,"score_spread":0.2740968705926812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416041051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89449203,0.0015038772,0.08315168,0.0005905647,0.0118130455,0.0010138545,0.000026268985,0.00001832179,0.0073903697],"genre_scores_gemma":[0.99233246,0.000094292285,0.0066727293,0.000012006568,0.0008135997,0.000004916937,0.0000020379755,0.00003595701,0.00003201359],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9954355,0.00015529516,0.0029511885,0.00034979187,0.0005810382,0.00052719406],"domain_scores_gemma":[0.99478966,0.0014066423,0.0023784314,0.00046415743,0.0007573986,0.00020373371],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017388825,0.00050327857,0.0018299026,0.00036415222,0.00027650295,0.00018315866,0.00072275347,0.00022714477,0.000030947736],"category_scores_gemma":[0.00037131383,0.00048182148,0.00040868844,0.001008439,0.0003915414,0.00026804884,0.00045793332,0.00094094785,0.0000026395564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012353645,0.0017593169,0.00043883768,0.0008676157,0.00020918874,0.000008923922,0.0018293493,0.00013568436,0.00094308157,0.9897322,0.000042918426,0.003909356],"study_design_scores_gemma":[0.0047280844,0.0004744934,0.000062306266,0.0025483775,0.00024033329,0.000014415714,0.0034575856,0.006311204,0.0012414388,0.9799354,0.00062583486,0.00036050874],"about_ca_topic_score_codex":0.000015027052,"about_ca_topic_score_gemma":2.7857507e-7,"teacher_disagreement_score":0.097840436,"about_ca_system_score_codex":0.00014131567,"about_ca_system_score_gemma":0.00046436372,"threshold_uncertainty_score":0.99976337},"labels":[],"label_agreement":null},{"id":"W4416079062","doi":"10.61091/jcmcc128-16","title":"Strong complete mappings – existence and applications","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Abelian group; Set (abstract data type); Cayley graph; Algebra over a field; Substitution (logic); Finite set","score_opus":0.013144527311373163,"score_gpt":0.23821844057987843,"score_spread":0.22507391326850526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416079062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72507894,0.023815753,0.14909075,0.0004970513,0.07482282,0.0028995462,0.00003953099,0.00024179138,0.0235138],"genre_scores_gemma":[0.99535257,0.00037383244,0.002447313,0.000021877651,0.0017067689,0.000009134133,0.0000014725507,0.000054605465,0.000032433836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99589694,0.00020082493,0.0023201813,0.00038606543,0.00060366094,0.00059231627],"domain_scores_gemma":[0.9960401,0.0012505634,0.0012750853,0.00044169527,0.00065627624,0.00033628647],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023664164,0.0006148127,0.0015572631,0.0005149121,0.00068440917,0.00061930675,0.00065215223,0.00037162108,0.000007763731],"category_scores_gemma":[0.00022952043,0.00063440594,0.00029000765,0.0007534847,0.00031685008,0.000310139,0.00040308177,0.0010595666,0.0000034010943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006373733,0.00030355883,0.00014641049,0.002308345,0.00047522417,0.000013716155,0.0011456916,0.00008587114,0.00081048143,0.99071354,0.00012554231,0.0038078565],"study_design_scores_gemma":[0.0051150504,0.00048293866,0.00012904267,0.0030176623,0.0005253993,0.00017825661,0.0021003322,0.020314598,0.0002331005,0.95636785,0.010903536,0.00063222664],"about_ca_topic_score_codex":0.000009053847,"about_ca_topic_score_gemma":2.9499867e-7,"teacher_disagreement_score":0.27027363,"about_ca_system_score_codex":0.00014563698,"about_ca_system_score_gemma":0.0001687746,"threshold_uncertainty_score":0.9996107},"labels":[],"label_agreement":null},{"id":"W4416086981","doi":"10.61091/jcmcc128-15","title":"Equitable domination number of certain graph operators","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dominating set; Domination analysis; Vertex (graph theory); Graph; Existential quantification; Subdivision; Neighbourhood (mathematics)","score_opus":0.016453819897170957,"score_gpt":0.31402654811134784,"score_spread":0.2975727282141769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416086981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60031986,0.0026480663,0.3404514,0.0005689399,0.04933432,0.0011020385,0.000007818184,0.000055503544,0.0055120774],"genre_scores_gemma":[0.980318,0.00028452108,0.018445363,0.00003234894,0.0007704537,0.0000037217396,9.654381e-7,0.000050757495,0.00009384246],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9919854,0.0007680939,0.0036211952,0.00063224614,0.0018987432,0.0010943504],"domain_scores_gemma":[0.9898954,0.0028783663,0.0031541064,0.00090638036,0.0027550724,0.0004106983],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008204834,0.0007107306,0.0021515111,0.0011131626,0.00078940135,0.0007509733,0.002399295,0.0004856877,0.00002380575],"category_scores_gemma":[0.002270458,0.00068774185,0.000608294,0.003034219,0.00058095914,0.0011408391,0.001913274,0.0014064781,0.000004997393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030467325,0.0015075897,0.0006075728,0.00097050174,0.00046197983,0.00003806568,0.0020201833,0.00014043316,0.0014447201,0.98187757,0.0002425547,0.010384174],"study_design_scores_gemma":[0.008117206,0.0010405933,0.00007807991,0.002363265,0.00024620563,0.00010874564,0.00079028483,0.022921273,0.0067630326,0.9565118,0.0005226037,0.00053690374],"about_ca_topic_score_codex":0.000020468839,"about_ca_topic_score_gemma":4.0686714e-7,"teacher_disagreement_score":0.37999818,"about_ca_system_score_codex":0.00027747022,"about_ca_system_score_gemma":0.0011180385,"threshold_uncertainty_score":0.9995574},"labels":[],"label_agreement":null},{"id":"W4416181515","doi":"10.61091/jcmcc128-17","title":"Asymptotic lower bounds for the feedback arc set problem in random graphs","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Feedback arc set; Arc (geometry); Feedback vertex set; Vertex (graph theory); Directed acyclic graph; Upper and lower bounds; Directed graph; Random graph; Independent set","score_opus":0.01826974688101482,"score_gpt":0.24468588096518842,"score_spread":0.2264161340841736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416181515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79891145,0.015565827,0.02846976,0.0022697796,0.14501224,0.0039498196,0.00005765409,0.000044849512,0.0057186326],"genre_scores_gemma":[0.9967559,0.0003666548,0.001078575,0.00007015869,0.0014917203,0.000018954604,0.0000018118868,0.000066539396,0.00014970521],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99340737,0.00025913707,0.0046300157,0.00055330485,0.00028981,0.0008603517],"domain_scores_gemma":[0.9895662,0.005133606,0.0039624027,0.00057322177,0.00056989334,0.00019466577],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0131113855,0.0006476737,0.0025198304,0.000814112,0.00078727177,0.0009917488,0.001161594,0.00049100735,0.000015486821],"category_scores_gemma":[0.0019149153,0.00057933736,0.000804826,0.0010961273,0.00027126924,0.00035098544,0.00035403448,0.0011977875,0.0000069062257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009694236,0.0009897256,0.0016860733,0.0014061893,0.00066455593,0.000010127178,0.002602226,0.00035284422,0.000014843118,0.9899084,0.00069174217,0.00070386054],"study_design_scores_gemma":[0.021859061,0.001097676,0.0002990309,0.0024349575,0.00026267365,0.000040150535,0.0012475688,0.019373918,0.000038618884,0.9470249,0.005783923,0.0005375659],"about_ca_topic_score_codex":0.000039817867,"about_ca_topic_score_gemma":0.000002318812,"teacher_disagreement_score":0.19784445,"about_ca_system_score_codex":0.00028834696,"about_ca_system_score_gemma":0.00036861748,"threshold_uncertainty_score":0.9996658},"labels":[],"label_agreement":null},{"id":"W4416181527","doi":"10.61091/jcmcc128-18","title":"Research on optimal design of lightweight structure of automated mechanical equipment based on algebraic topology method","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Optimal design; Stiffness; Population; Minimum weight; Linear programming; Bridge (graph theory); Genetic algorithm; Sequential quadratic programming","score_opus":0.020782672979406613,"score_gpt":0.3200720966590343,"score_spread":0.2992894236796277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416181527","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13503231,0.00056056323,0.82386786,0.00033379308,0.03830672,0.0011053381,0.00001896476,0.00014717547,0.00062726287],"genre_scores_gemma":[0.8707464,0.000045839257,0.12860328,0.0000149467705,0.00050370715,0.000002580889,0.0000018291396,0.00007710169,0.0000043586338],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9931574,0.001100317,0.0031340763,0.00044450228,0.0014012299,0.0007624958],"domain_scores_gemma":[0.98854244,0.0076511777,0.0014477986,0.00061242166,0.0014996262,0.00024652525],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0049083363,0.00064952916,0.0021756182,0.0018318775,0.00028195776,0.000100793,0.0009509785,0.00092639966,0.00005191362],"category_scores_gemma":[0.0015862499,0.0006294387,0.00031967022,0.0014806428,0.0002969381,0.00011836743,0.00035076583,0.0020123636,0.0000010021904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043283813,0.0006358758,0.0000036651643,0.0008313341,0.00039726618,0.000018853865,0.00036545788,0.49369884,0.0049387584,0.498253,0.00019499146,0.0002291628],"study_design_scores_gemma":[0.0058199023,0.003591032,0.000012652887,0.0023609104,0.00024577946,0.000026822068,0.0002616953,0.7941831,0.062105816,0.13101608,0.000042830838,0.00033342943],"about_ca_topic_score_codex":0.000005060533,"about_ca_topic_score_gemma":7.411482e-8,"teacher_disagreement_score":0.735714,"about_ca_system_score_codex":0.0004072795,"about_ca_system_score_gemma":0.00057123747,"threshold_uncertainty_score":0.99961567},"labels":[],"label_agreement":null},{"id":"W7108465371","doi":"10.61091/jcmcc128-22","title":"On the numerical semigroup generated by \\(\\left\\{b^{k+n+i}+\\frac{b^{n+i}-1}{b-1}\\mid i\\in\\mathbb{N}\\right\\}\\)","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Commutative Algebra and Its Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Basic and Applied Basic Research Foundation of Guangdong Province","keywords":"Semigroup; Embedding; Dimension (graph theory); Numerical semigroup; Algebra over a field","score_opus":0.013919388536134872,"score_gpt":0.2814264520745566,"score_spread":0.2675070635384217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108465371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94022036,0.0030407696,0.020426674,0.0051640165,0.020610647,0.002105011,0.000036160363,0.00008351028,0.008312873],"genre_scores_gemma":[0.99646497,0.00030328348,0.0015660287,0.00035197072,0.0010040974,0.000015799664,0.0000053805447,0.000117201555,0.00017126217],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9915107,0.0009921048,0.0042277053,0.00071048643,0.0015061445,0.001052851],"domain_scores_gemma":[0.9820138,0.0122016575,0.0030484418,0.0011057976,0.0012472791,0.0003829733],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0048910202,0.001113552,0.0024823265,0.00064948207,0.0011909233,0.00088124885,0.0018120147,0.00066822104,0.00017089222],"category_scores_gemma":[0.003486292,0.00084593246,0.00062386325,0.0017493125,0.0004331895,0.0003221875,0.0007871968,0.0029353828,0.00002138927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002756166,0.003691118,0.00010044994,0.0004588368,0.00056190294,0.000033395325,0.0024412428,0.00004371664,0.0012631575,0.97326124,0.01688923,0.0009800831],"study_design_scores_gemma":[0.007158887,0.0011862481,0.00006248019,0.0024198778,0.0005171011,0.00007762934,0.0011546494,0.016905276,0.00423217,0.96070117,0.004804737,0.0007797831],"about_ca_topic_score_codex":0.000020008296,"about_ca_topic_score_gemma":0.0000016199374,"teacher_disagreement_score":0.056244638,"about_ca_system_score_codex":0.0005403494,"about_ca_system_score_gemma":0.0006620052,"threshold_uncertainty_score":0.9993991},"labels":[],"label_agreement":null},{"id":"W7108478165","doi":"10.61091/jcmcc128-19","title":"New lower bounds for Van der Waerden numbers using distributed computing","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Benford’s Law and Fraud Detection","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Van der Waerden's theorem; Logarithm; Modulo; Upper and lower bounds; Point (geometry); Discrete logarithm; Context (archaeology)","score_opus":0.021166928843082747,"score_gpt":0.2968613263931184,"score_spread":0.27569439755003566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108478165","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27932873,0.0010507342,0.6430802,0.00023953055,0.07359392,0.0014290456,0.000026919708,0.00009362497,0.0011572777],"genre_scores_gemma":[0.93472314,0.000048295362,0.058858797,0.00005769664,0.0060281744,0.0000024465742,0.0000074175764,0.00016166171,0.00011236723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9918994,0.00029184434,0.0045116637,0.00070660823,0.0013069401,0.0012835982],"domain_scores_gemma":[0.9881197,0.003751727,0.0045445245,0.0007169377,0.0022127791,0.0006542864],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004027883,0.0011387703,0.002871149,0.00062104204,0.00162769,0.0014187081,0.0010305187,0.0010206335,0.000038147886],"category_scores_gemma":[0.0024691857,0.001156523,0.0011279413,0.0012197226,0.0002483406,0.0005638329,0.0007276513,0.0015851504,0.000003132883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010209789,0.0017070295,0.00014797544,0.0027183485,0.001934895,0.00003830066,0.002118186,0.0004905307,0.0006294671,0.9765722,0.0038872655,0.008734783],"study_design_scores_gemma":[0.01567197,0.0015833778,0.000021932929,0.0039931396,0.0025699849,0.00020500654,0.0010999263,0.09242013,0.0012175748,0.87384695,0.0063327285,0.0010372528],"about_ca_topic_score_codex":0.000064647924,"about_ca_topic_score_gemma":0.0000027567794,"teacher_disagreement_score":0.6553944,"about_ca_system_score_codex":0.00081550877,"about_ca_system_score_gemma":0.0015202679,"threshold_uncertainty_score":0.99967206},"labels":[],"label_agreement":null},{"id":"W7108479732","doi":"10.61091/jcmcc128-20","title":"On <span class=\"math inline\">\\(k-\\)</span>division Fibonacci-Pell and <span class=\"math inline\">\\(k-\\)</span>division Gaussian Fibonacci-Pell polynomials and their applications","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Mathematical Theories and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Factorization; Fibonacci number; Algebraic number; Pascal (unit); Polynomial matrix; Algebra over a field; Matrix (chemical analysis); Polynomial; Fibonacci polynomials","score_opus":0.009272208889122072,"score_gpt":0.26521106712204745,"score_spread":0.2559388582329254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108479732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7009383,0.005302568,0.2593615,0.0037272589,0.013087271,0.0065959054,0.0006137512,0.0003229439,0.01005052],"genre_scores_gemma":[0.9865257,0.0018819607,0.006860232,0.00016755384,0.0037892426,0.0001025199,0.00011072494,0.00030243106,0.00025959968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98813164,0.00061668234,0.005548796,0.0019790614,0.0017572821,0.0019665333],"domain_scores_gemma":[0.98398685,0.0059009404,0.0052352226,0.0019005957,0.0015128349,0.0014635394],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0034282778,0.0024537663,0.0045622173,0.0014248396,0.002714405,0.001845266,0.0018019712,0.0011321271,0.000058547306],"category_scores_gemma":[0.0006547954,0.002130666,0.0010969209,0.0024224739,0.0008963402,0.0008897303,0.0021543705,0.0026331274,0.000048796024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045856548,0.0039678523,0.00009540557,0.0011733033,0.00077145547,0.000012475532,0.0012144209,0.0004599377,0.0033902768,0.97002035,0.0017985103,0.01663745],"study_design_scores_gemma":[0.010932506,0.001894523,0.00022062674,0.0038743694,0.00091253273,0.000052476575,0.0011768674,0.08252981,0.0012885114,0.84780246,0.04737511,0.0019401737],"about_ca_topic_score_codex":0.000015196345,"about_ca_topic_score_gemma":0.0000037843736,"teacher_disagreement_score":0.28558746,"about_ca_system_score_codex":0.00038100142,"about_ca_system_score_gemma":0.00072725787,"threshold_uncertainty_score":0.9996678},"labels":[],"label_agreement":null},{"id":"W7108482857","doi":"10.61091/jcmcc128-21","title":"Changing and unchanging of the connected domination number of a graph","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Domination analysis; Graph; Connected component; Connectivity; Path graph; Path (computing); Dominating set; Graph power","score_opus":0.01245190482271425,"score_gpt":0.28795091781680454,"score_spread":0.2754990129940903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108482857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8872924,0.0012407956,0.092853025,0.0003055903,0.017009292,0.00064355024,0.0000042453116,0.000015791828,0.0006353506],"genre_scores_gemma":[0.9941538,0.00014320921,0.0053197364,0.000017012597,0.00031831404,0.00000188933,2.4556525e-7,0.00002674963,0.000019037798],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99495196,0.0005822025,0.0022533692,0.00037767377,0.0012334324,0.0006013868],"domain_scores_gemma":[0.9910458,0.0027190184,0.0033169794,0.00060813926,0.002144856,0.00016522872],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0052573676,0.00043485343,0.0014364356,0.00093662355,0.00058042933,0.000234653,0.0013469006,0.0002683514,0.0000047987323],"category_scores_gemma":[0.001989309,0.00035557244,0.00039532766,0.0030860156,0.0006500543,0.00044883476,0.0017901576,0.000850494,2.5100286e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001593302,0.0005025958,0.0009269426,0.0012834067,0.0003043675,0.000006573921,0.00545038,0.000054454205,0.0020438193,0.9833068,0.000015126895,0.0059461766],"study_design_scores_gemma":[0.0057786745,0.00045638203,0.00038206408,0.0042528557,0.00024333662,0.000101118174,0.0014587468,0.02639553,0.011879634,0.9487189,0.000039312898,0.00029345302],"about_ca_topic_score_codex":0.0000072125363,"about_ca_topic_score_gemma":3.2695831e-7,"teacher_disagreement_score":0.10686145,"about_ca_system_score_codex":0.00009943867,"about_ca_system_score_gemma":0.00042584274,"threshold_uncertainty_score":0.9998896},"labels":[],"label_agreement":null},{"id":"W7109661522","doi":"10.61091/jcmcc128-23","title":"Vulnerability analysis of comb product of graphs and related applications in chemical structures","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vertex (graph theory); Graph; Graph theory; Product (mathematics); Set (abstract data type); Vulnerability (computing); Measure (data warehouse); Connectivity; Network analysis","score_opus":0.011618732874357367,"score_gpt":0.28926138331213824,"score_spread":0.27764265043778086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7109661522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99387175,0.0015095993,0.0010217917,0.00011064698,0.0019261119,0.0009851446,0.000025402478,0.00001565679,0.0005339179],"genre_scores_gemma":[0.9961816,0.00014362212,0.0035523237,0.000003921306,0.00007282308,0.000008403096,0.000005471729,0.000026937721,0.0000049154396],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99394,0.00039817436,0.0041805096,0.00046653146,0.0006485285,0.00036628416],"domain_scores_gemma":[0.9902702,0.0039004874,0.0037426895,0.00073378824,0.0011780434,0.00017480826],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0038791357,0.00049424917,0.0027663305,0.0014489855,0.00023406686,0.00008573911,0.0006543152,0.00038211874,0.000013720892],"category_scores_gemma":[0.0015853469,0.00046203836,0.00059814553,0.003993219,0.000761496,0.00014967438,0.00039894972,0.0009833233,9.170266e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015616274,0.0025425109,0.003949369,0.0020164237,0.0021912302,0.0000017239227,0.0025428906,0.00009000083,0.0026635164,0.98287934,0.000016834732,0.0009500177],"study_design_scores_gemma":[0.003490051,0.0002397677,0.0025250965,0.0007150969,0.004036621,0.00001136974,0.0010460383,0.0036644721,0.0057548517,0.9781929,0.000022124454,0.0003016],"about_ca_topic_score_codex":0.000019848789,"about_ca_topic_score_gemma":0.0000012353079,"teacher_disagreement_score":0.0046864087,"about_ca_system_score_codex":0.000080496626,"about_ca_system_score_gemma":0.00025713234,"threshold_uncertainty_score":0.99978316},"labels":[],"label_agreement":null},{"id":"W7109823275","doi":"10.61091/jcmcc128-24","title":"Fault-tolerant detection systems on the infinite king grid","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vertex (graph theory); Detector; Set (abstract data type); Grid; Redundancy (engineering); Closed set","score_opus":0.01714667387071589,"score_gpt":0.2487349062608268,"score_spread":0.23158823239011092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7109823275","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3050772,0.0026175596,0.26872754,0.0014086966,0.41514722,0.0014643106,0.000004350964,0.000103338505,0.0054497914],"genre_scores_gemma":[0.99210286,0.00011345661,0.00022847381,0.000161322,0.0072810478,0.0000075484554,3.709734e-7,0.000042727406,0.000062200445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9928086,0.0009951828,0.0034029684,0.0005676173,0.0014609324,0.0007647222],"domain_scores_gemma":[0.9897406,0.0038979324,0.003455147,0.0008497343,0.0018003465,0.0002562458],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007231501,0.00073005754,0.0016415063,0.0006568914,0.0017729976,0.0029278651,0.0016702886,0.0004985778,0.0000059322115],"category_scores_gemma":[0.0011072303,0.00053486833,0.0005680006,0.0013976688,0.00019955903,0.00048246986,0.00067924056,0.0019463769,0.000009694361],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016614636,0.0005505425,0.00003110093,0.0004824239,0.00045674472,0.000038443224,0.0022192367,0.0030180728,0.0001975308,0.9863199,0.0009331275,0.0055867163],"study_design_scores_gemma":[0.0047339373,0.0020982968,0.00004989521,0.0072875763,0.00026603008,0.00033174086,0.0015259412,0.7781129,0.0005947246,0.19348383,0.010849936,0.00066520774],"about_ca_topic_score_codex":0.000064530985,"about_ca_topic_score_gemma":0.0000015222643,"teacher_disagreement_score":0.79283607,"about_ca_system_score_codex":0.00037074878,"about_ca_system_score_gemma":0.00039836866,"threshold_uncertainty_score":0.99971026},"labels":[],"label_agreement":null},{"id":"W779346977","doi":"","title":"The monophonie detour hull number of a graph","year":2013,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Hull; Combinatorics; Graph; Discrete mathematics; Marine engineering; Engineering","score_opus":0.013445473967491238,"score_gpt":0.2772048916383965,"score_spread":0.26375941767090527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W779346977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9010024,0.00056782877,0.08349155,0.00051991816,0.012308125,0.0005413278,7.5556557e-7,0.00005211865,0.0015159502],"genre_scores_gemma":[0.9755166,0.000087851935,0.023903102,0.00001506163,0.00043399303,0.0000045049933,1.1501411e-7,0.00002441395,0.000014335509],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967431,0.00023098617,0.0012936128,0.00022619555,0.0010137596,0.00049233844],"domain_scores_gemma":[0.9942584,0.0022534975,0.0013611664,0.0005797388,0.0013003113,0.00024685613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024278893,0.00026600188,0.000656285,0.0001694519,0.0004707253,0.0004696979,0.0017630489,0.00012299731,0.0000073697483],"category_scores_gemma":[0.00074157515,0.00018578206,0.0002553978,0.0006987935,0.00025149417,0.0005889432,0.00068585813,0.0005979375,0.00001034272],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028325288,0.00024100786,0.00030317905,0.000060530092,0.000090693095,0.00000876362,0.0006534648,0.000016469117,0.0007757099,0.99270105,0.00027130893,0.0048494856],"study_design_scores_gemma":[0.0018427968,0.0003819669,0.00018986834,0.00013848524,0.000019730185,0.0001345286,0.00025822542,0.005789157,0.0015700262,0.9891522,0.00032881848,0.00019422534],"about_ca_topic_score_codex":0.00001430915,"about_ca_topic_score_gemma":2.0162378e-7,"teacher_disagreement_score":0.074514195,"about_ca_system_score_codex":0.000050006514,"about_ca_system_score_gemma":0.00016222803,"threshold_uncertainty_score":0.75759727},"labels":[],"label_agreement":null}]}