{"meta":{"query_hash":"08c4bf19cfe0","filters":{"topic":"Advanced Research in Systems and Signal Processing"},"cohort_total":103,"direct_labels_cover":0,"predictions_cover":103,"exported":103,"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/08c4bf19cfe0","api":"https://metacan.xera.ac/api/v1/cohort?topic=Advanced+Research+in+Systems+and+Signal+Processing"},"results":[{"id":"W1507949410","doi":"10.5539/ies.v8n7p64","title":"Effective Strategy Formation Models for Inventory Management under the Conditions of Uncertainty","year":2015,"lang":"en","type":"article","venue":"International Education Studies","topic":"Advanced Research in Systems and Signal Processing","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":"Cash flow; Inventory management; Inventory control; Inventory valuation; Operations research; Commodity; Discounted cash flow; Control (management); Economics; Computer science; Microeconomics; Business; Operations management; Finance; Mathematics","score_opus":0.13235096027833426,"score_gpt":0.4210784401373757,"score_spread":0.28872747985904146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507949410","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":[0.13281202,0.008893117,0.7978216,0.0012793735,0.005873644,0.0019822821,0.0000853219,0.00015106166,0.051101618],"genre_scores_gemma":[0.99824595,0.00008192975,0.00039120734,0.000037212987,0.0001249705,0.00061870244,0.000027241756,0.0000067511837,0.00046601144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999498,0.000017956592,0.00016817807,0.00006171617,0.00018240775,0.00007175515],"domain_scores_gemma":[0.9987536,0.000093065115,0.00005087701,0.000059378,0.0010192199,0.000023856092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020639728,0.000058813308,0.000074027084,0.00007285136,0.00006468549,0.000018033055,0.00009436965,0.000014488827,0.0000022685265],"category_scores_gemma":[0.00004480118,0.000042659656,0.000029012746,0.00006814817,0.000052580883,0.00028986434,0.000019574803,0.000041411487,0.0000024729934],"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":[0.0000102839,0.000027207754,0.000012198066,0.00014551502,0.00022445223,6.003888e-8,0.0010558084,0.9164549,0.000075363445,0.06375752,0.011894836,0.0063418336],"study_design_scores_gemma":[0.0006352029,0.000058919442,0.00020751485,0.0002676532,0.000036043988,0.0000040290893,0.069645524,0.42618024,0.0007324283,0.4895816,0.012490433,0.00016037731],"about_ca_topic_score_codex":0.0000074882137,"about_ca_topic_score_gemma":0.0000059987547,"teacher_disagreement_score":0.86543393,"about_ca_system_score_codex":0.00021936715,"about_ca_system_score_gemma":0.000037468002,"threshold_uncertainty_score":0.17396103},"labels":[],"label_agreement":null},{"id":"W1510586755","doi":"","title":"Historical overview and current research on noise radar","year":2011,"lang":"en","type":"article","venue":"IEEE Asia-Pacific Conference on Synthetic Aperture Radar","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Radar; Noise (video); Computer science; Telecommunications; Waveform; Electronic engineering; SIGNAL (programming language); Pulse-Doppler radar; Acoustics; Electrical engineering; Radar imaging; Physics; Engineering; Artificial intelligence","score_opus":0.17210519451630066,"score_gpt":0.34007075097785944,"score_spread":0.16796555646155878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510586755","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":[0.02687444,0.07354462,0.060809124,0.003932897,0.009269177,0.0038686208,0.00014308719,0.0019719952,0.81958604],"genre_scores_gemma":[0.9945292,0.0030866126,0.00085180375,0.000022415812,0.00023396997,0.0000771265,0.0000023135074,0.00008336841,0.0011132145],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99673337,0.00025880247,0.00045573743,0.0006771944,0.0010529428,0.00082196126],"domain_scores_gemma":[0.9981222,0.00052736636,0.00006029296,0.0006528254,0.00019697314,0.0004403223],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00084457267,0.00042180668,0.00054831366,0.0003334639,0.00031670136,0.00009900751,0.0003691766,0.00021973117,0.0002625968],"category_scores_gemma":[0.000186096,0.00033564435,0.000105473635,0.00038145576,0.00024702356,0.00016658429,0.00005107019,0.0013505539,0.00021657858],"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":[0.00040522058,0.00062633737,0.00005967452,0.0016646715,0.00012917281,0.00042261445,0.0035588946,0.000039180766,0.031845577,0.041371934,0.024141155,0.89573556],"study_design_scores_gemma":[0.000824903,0.0007868336,0.00018367593,0.0029116115,0.000027999007,0.00016112532,0.0014454502,0.0042680595,0.0072495076,0.0061613885,0.97480357,0.0011758518],"about_ca_topic_score_codex":0.00002507679,"about_ca_topic_score_gemma":0.0000032829068,"teacher_disagreement_score":0.96765476,"about_ca_system_score_codex":0.00047173587,"about_ca_system_score_gemma":0.00011534023,"threshold_uncertainty_score":0.9999096},"labels":[],"label_agreement":null},{"id":"W1516781106","doi":"","title":"SOME RESULTS IN THE EXTENSION WITH A COHERENT SUSLIN TREE (Aspects of Descriptive Set Theory)","year":2012,"lang":"en","type":"article","venue":"Kyoto University Research Information Repository (Kyoto University)","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; Shizuoka University","keywords":"Mathematics; Extension (predicate logic); Tree (set theory); Set (abstract data type); Discrete mathematics; Algebra over a field; Combinatorics; Pure mathematics; Computer science","score_opus":0.03830073281606103,"score_gpt":0.2488556142542807,"score_spread":0.21055488143821968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516781106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6468252,0.00013083132,0.002430638,0.0000890756,0.00013519211,0.0012933542,0.000029232002,0.00013677031,0.34892973],"genre_scores_gemma":[0.99793166,0.000081286445,0.00010818523,0.000011155307,0.000056004956,0.0000013947761,0.000015628619,0.000010963829,0.0017836924],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9973655,0.0006402871,0.00026959574,0.00016690065,0.00094511046,0.0006126567],"domain_scores_gemma":[0.99829257,0.00040343558,0.00012187314,0.00039645194,0.0005546501,0.00023099424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016417437,0.00017873597,0.00022067272,0.0011985374,0.0005048278,0.00007113557,0.0006441989,0.00013274081,0.000011614426],"category_scores_gemma":[0.00014732499,0.00014876858,0.00006718894,0.0015422447,0.00035850942,0.0038990811,0.00015244703,0.0006514281,0.00004234724],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.019884057,0.0009581033,0.008776102,0.0024482738,0.00074694474,0.0033545357,0.1790896,0.04915877,0.020573245,0.69885504,0.0074670385,0.008688264],"study_design_scores_gemma":[0.012676744,0.002537831,0.017871354,0.0018406621,0.00011672471,0.00041135066,0.6386289,0.01202576,0.033410672,0.0028965492,0.27592233,0.0016611109],"about_ca_topic_score_codex":0.00040868358,"about_ca_topic_score_gemma":0.000041262945,"teacher_disagreement_score":0.6959585,"about_ca_system_score_codex":0.0007148239,"about_ca_system_score_gemma":0.00024614608,"threshold_uncertainty_score":0.60666066},"labels":[],"label_agreement":null},{"id":"W1970430766","doi":"10.1109/mie.2007.904675","title":"Society News [including IEEE William E. Newell Award recipient]","year":2007,"lang":"en","type":"article","venue":"IEEE Industrial Electronics Magazine","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Commission; Canarie","keywords":"Computer science; Art history; Management; Media studies; Library science; Engineering physics; Engineering; Art; Sociology; Economics","score_opus":0.057987276579365275,"score_gpt":0.30013170951612383,"score_spread":0.24214443293675855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970430766","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":[0.37471572,0.008130651,0.5402652,0.0007410994,0.015211996,0.00213569,0.000047677262,0.0025319653,0.056220002],"genre_scores_gemma":[0.98463833,0.0011085368,0.0015975918,0.00017225393,0.00736065,0.000030078269,0.00002219122,0.00021839608,0.0048519513],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964002,0.00004713177,0.0007642823,0.0004557146,0.00067401567,0.0016586544],"domain_scores_gemma":[0.9987565,0.00022568608,0.0001338795,0.0003737855,0.00014758272,0.0003625645],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014182822,0.00041519428,0.00048198394,0.00015195715,0.00029627918,0.00013084373,0.00041550252,0.00050773076,0.00004390891],"category_scores_gemma":[0.000104032784,0.00040875227,0.00024393655,0.0008863641,0.0000890885,0.000420579,0.00004160089,0.0017755205,0.00015757546],"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":[0.000279826,0.00011752478,0.00049404136,0.00018429483,0.00037818775,0.00009314794,0.00036792803,0.12216776,0.3765317,0.00025556667,0.2830846,0.21604544],"study_design_scores_gemma":[0.0022232295,0.00026809864,0.000022043332,0.00017753073,0.000035272882,0.000043057018,0.000073846706,0.01617218,0.08840006,0.0006911815,0.89114636,0.00074711186],"about_ca_topic_score_codex":0.000022254104,"about_ca_topic_score_gemma":0.00007718356,"teacher_disagreement_score":0.60992265,"about_ca_system_score_codex":0.0009955106,"about_ca_system_score_gemma":0.00024690395,"threshold_uncertainty_score":0.99983644},"labels":[],"label_agreement":null},{"id":"W2038411012","doi":"10.1115/jrc2009-63027","title":"Evolutions in Railway Signaling: A “New Age” of Control?","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thales (Canada)","funders":"","keywords":"Interlocking; Train; Block (permutation group theory); Control (management); Computer science; Routing (electronic design automation); Telecommunications; Engineering; Transport engineering; Computer network; Artificial intelligence; Geography; Mathematics; Mechanical engineering","score_opus":0.0187200472387123,"score_gpt":0.268012257686143,"score_spread":0.24929221044743072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038411012","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":[0.03129222,0.001970814,0.9141442,0.00014536029,0.00007059961,0.0002033898,0.0000023928867,0.00017335966,0.051997665],"genre_scores_gemma":[0.99652517,0.000010427733,0.0027350977,0.000021118181,0.00004982793,0.000002257449,9.457158e-7,0.000006792039,0.0006483765],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938637,0.000012796724,0.00021367788,0.000073212206,0.00012448098,0.0001894911],"domain_scores_gemma":[0.99976546,0.00004490357,0.000013704235,0.0000813001,0.000025211035,0.000069418755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013369997,0.000065951564,0.00015553458,0.00009587742,0.000017921699,0.000010187626,0.00007870549,0.000038899547,0.000056064993],"category_scores_gemma":[0.0000410016,0.00005615751,0.00003284575,0.00020406056,0.00001584812,0.00010251494,0.000003615034,0.000111939444,0.0000069116654],"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":[0.000020754016,0.000041216266,0.0005022186,0.00008440774,0.000020223713,0.000034858127,0.00032164197,0.46353826,0.5064769,0.00540822,0.0012817269,0.022269605],"study_design_scores_gemma":[0.01455433,0.0009463508,0.023202991,0.001923468,0.000043198368,0.000057288908,0.0012849551,0.67943805,0.10845848,0.12366106,0.044357643,0.0020721774],"about_ca_topic_score_codex":0.000025191935,"about_ca_topic_score_gemma":0.0000107723245,"teacher_disagreement_score":0.96523297,"about_ca_system_score_codex":0.00003496211,"about_ca_system_score_gemma":0.000025861327,"threshold_uncertainty_score":0.22900368},"labels":[],"label_agreement":null},{"id":"W2048877874","doi":"10.5539/res.v7n2p10","title":"The Model of Changes Management Information System Construction","year":2015,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Advanced Research in Systems and Signal Processing","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":"Business; Information model; Computer science; Process management; Database","score_opus":0.08343562359143185,"score_gpt":0.30352329422502083,"score_spread":0.22008767063358897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048877874","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":[0.0005973992,0.74496365,0.039240662,0.00011088158,0.00035830538,0.0005766896,0.000008726086,0.000113586495,0.21403012],"genre_scores_gemma":[0.44930136,0.5468417,0.0036143688,0.00002166326,0.0000662662,0.000023838602,0.0000017100338,0.000016298465,0.0001128091],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940616,0.00005102337,0.0002744573,0.000030611453,0.0001678964,0.00006987766],"domain_scores_gemma":[0.9995502,0.000017194601,0.00009879268,0.00010244556,0.00021319969,0.000018125322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008434843,0.00005392457,0.00016520092,0.000024029367,0.00004109615,0.000005513315,0.00007763944,0.0000039824304,9.833592e-8],"category_scores_gemma":[0.00005388912,0.00003177189,0.000021757873,0.00008406635,0.000055324454,0.00010453696,0.000051639065,0.000031167878,0.0000059206827],"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":[0.0000107181095,0.000004940557,0.00001749575,0.28670412,0.0005031952,0.0000027277981,0.0015717002,0.041669562,0.00012624073,0.023534298,0.010298551,0.63555646],"study_design_scores_gemma":[0.0016323009,0.00029619632,0.000092652335,0.2433385,0.0004317093,0.000058641428,0.073805615,0.17427862,0.0020321156,0.00066218205,0.5024849,0.00088654255],"about_ca_topic_score_codex":1.406069e-7,"about_ca_topic_score_gemma":7.4883914e-8,"teacher_disagreement_score":0.6346699,"about_ca_system_score_codex":0.000028948913,"about_ca_system_score_gemma":0.0000034311627,"threshold_uncertainty_score":0.12956202},"labels":[],"label_agreement":null},{"id":"W2079934456","doi":"10.1109/mwscas.2012.6292004","title":"Pulse restoration in inductive-coupled link with antenna transformer","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Scanimetrics (Canada); University of Alberta","funders":"","keywords":"Comparator; Transformer; Electronic engineering; Jitter; Electrical engineering; CMOS; Amplifier; Electronic circuit; Superposition principle; Computer science; Engineering; Physics; Voltage","score_opus":0.022425470388216604,"score_gpt":0.26070668441660566,"score_spread":0.23828121402838906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079934456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5783299,0.0006284365,0.40626827,0.0000828727,0.00012448811,0.00024177002,7.0291276e-7,0.00014330471,0.014180251],"genre_scores_gemma":[0.9979493,0.000020200972,0.0016397675,0.000008431839,0.00014474029,0.000022205964,0.0000016426836,0.000018788958,0.00019493139],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993839,0.000011506502,0.00012769247,0.000068507405,0.00013547033,0.00027289198],"domain_scores_gemma":[0.9998069,0.000016235139,0.000008799225,0.000065744425,0.000029462715,0.00007288573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018622733,0.000079640035,0.00009738575,0.00008117455,0.000031282616,0.000017323055,0.000041422692,0.000048069625,0.00005153203],"category_scores_gemma":[0.0000081830985,0.000056089284,0.000011048701,0.00021379892,0.000019740968,0.0007303072,0.0000020981213,0.00017677687,0.000017654358],"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":[0.00016354442,0.0001641387,0.028419808,0.0006053416,0.00007006813,0.000026599555,0.006450602,0.024464944,0.865187,0.0021170944,0.000084656465,0.07224621],"study_design_scores_gemma":[0.0062538167,0.00074482756,0.078322425,0.0012441991,0.000031626474,0.00012268165,0.0065010516,0.79430294,0.09189606,0.0013936496,0.016698623,0.0024880776],"about_ca_topic_score_codex":0.00003639106,"about_ca_topic_score_gemma":0.000044633864,"teacher_disagreement_score":0.77329093,"about_ca_system_score_codex":0.00005556916,"about_ca_system_score_gemma":0.000011544111,"threshold_uncertainty_score":0.22872546},"labels":[],"label_agreement":null},{"id":"W2125250780","doi":"","title":"Using Set-theoretic Approach to Examine Configurations of Strategies and Resources","year":2007,"lang":"en","type":"article","venue":"ASAC","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Set (abstract data type); Computer science","score_opus":0.05139088894184711,"score_gpt":0.3101667397277417,"score_spread":0.2587758507858946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125250780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51685536,0.0005216239,0.4572167,0.0000034189618,0.000020907348,0.00008324,0.000002149842,0.000034381013,0.025262242],"genre_scores_gemma":[0.9922009,0.000006166496,0.007691111,0.0000040152886,0.00004520524,0.0000014743335,0.0000011700974,0.000011838564,0.00003808859],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995045,0.000010101788,0.00014766333,0.00007964199,0.000107960994,0.00015014542],"domain_scores_gemma":[0.9997479,0.000059358565,0.000017398836,0.00007508926,0.000037156253,0.00006312755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024627298,0.00006200311,0.00010056263,0.00007320103,0.000050893395,0.000040139235,0.000049598206,0.000030816547,0.0000049611854],"category_scores_gemma":[0.000023320645,0.00005445535,0.000010052832,0.00013864078,0.00006134431,0.0001345593,0.000012109882,0.00006603323,8.3136e-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":[0.000026350172,0.000030079247,0.0002434643,0.0011068446,0.00005899799,0.000009646304,0.0089268,0.23921235,0.6861977,0.041764155,0.000074908974,0.022348708],"study_design_scores_gemma":[0.0017360919,0.00046702995,0.013080955,0.0011697754,0.00008019004,0.00019635455,0.098600335,0.6090979,0.24388814,0.018382838,0.0114985155,0.0018018798],"about_ca_topic_score_codex":0.000012666053,"about_ca_topic_score_gemma":0.000001927788,"teacher_disagreement_score":0.47534558,"about_ca_system_score_codex":0.000012052078,"about_ca_system_score_gemma":0.000009325505,"threshold_uncertainty_score":0.22206248},"labels":[],"label_agreement":null},{"id":"W2145792143","doi":"10.5539/mas.v8n6p313","title":"The Comparison of Routers by Firms Cisco, Juniper and Huawei","year":2014,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Research in Systems and Signal Processing","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":"Business; Profit (economics); The Internet; Juniper; Computer science; Industrial organization; World Wide Web; Microeconomics; Economics; Biology; Ecology","score_opus":0.010605885400078945,"score_gpt":0.26245488270393563,"score_spread":0.2518489973038567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145792143","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":[0.11947678,0.00068749744,0.86566716,0.00004125307,0.00007518352,0.000117112344,0.0000013877319,0.00005241449,0.013881195],"genre_scores_gemma":[0.9991859,0.000013165185,0.00069489365,0.000010226491,0.000015744314,0.000009307309,2.5267246e-7,0.000008014799,0.00006250211],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911505,0.0000067089427,0.00014589807,0.00015040282,0.0003303871,0.00025154327],"domain_scores_gemma":[0.99962854,0.00007737546,0.000028079021,0.00016378467,0.000025781399,0.00007644725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052483816,0.000070789756,0.00011560437,0.000029045601,0.0003099434,0.00008908616,0.0002884158,0.000021398695,0.0000010174022],"category_scores_gemma":[0.000020543874,0.000046574576,0.000009568258,0.00016342328,0.00049178913,0.00010908659,0.000057739766,0.0001084251,0.0000023861974],"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":[0.0000036455187,0.000004765491,0.00013476021,0.000034703266,0.0000023959324,5.0084306e-8,0.0006950634,0.013193884,0.8698245,0.000971069,0.00028400208,0.11485114],"study_design_scores_gemma":[0.00009665589,0.000010733823,0.00007756782,0.000013043957,9.96159e-7,5.25911e-7,0.00016260738,0.939544,0.055026487,0.0020880897,0.0029033024,0.00007596097],"about_ca_topic_score_codex":0.0000037306347,"about_ca_topic_score_gemma":0.0000019936285,"teacher_disagreement_score":0.9263501,"about_ca_system_score_codex":0.000019926927,"about_ca_system_score_gemma":0.000011757621,"threshold_uncertainty_score":0.23838653},"labels":[],"label_agreement":null},{"id":"W2159124774","doi":"","title":"The Method of Determining the Function of Traffic Costs for the Node with Unregulated Flows of Requests","year":2013,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Advanced Research in Systems and Signal Processing","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":"Erlang (programming language); Intersection (aeronautics); Mathematical optimization; Node (physics); Mathematics; Function (biology); Realization (probability); Computer science; Transport engineering; Theoretical computer science; Statistics; Engineering","score_opus":0.07074606513686896,"score_gpt":0.37924488178623256,"score_spread":0.3084988166493636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159124774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54221433,0.0015409354,0.45436487,0.0002522597,0.00008777772,0.0010243786,0.0000030118683,0.000009453743,0.0005029523],"genre_scores_gemma":[0.9762701,0.00012309999,0.023399599,0.0000012712494,0.00006263271,0.000024965417,1.7565308e-7,0.00002774539,0.000090456124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978024,0.00020128953,0.00071270403,0.00005553271,0.0009711378,0.00025694398],"domain_scores_gemma":[0.99210846,0.005400045,0.00035829173,0.00026281652,0.0018203148,0.000050094724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066109276,0.00008891252,0.0002894767,0.00012110471,0.00018783307,0.00005139273,0.00047932737,0.000051965613,0.000008108787],"category_scores_gemma":[0.00086546893,0.000034895314,0.00009294419,0.00032895626,0.00019525414,0.00016039585,0.00003729753,0.0004383343,6.119496e-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":[0.00035828823,0.00022144208,0.000082355946,0.0041852416,0.00091016677,0.000003092196,0.0041578272,0.5537652,0.16481404,0.001349166,0.002208727,0.26794448],"study_design_scores_gemma":[0.000742365,0.0006325145,0.00032296713,0.0012810859,0.00004688697,0.000041843483,0.0048894454,0.9665809,0.022601841,0.002383807,0.0003987953,0.00007753911],"about_ca_topic_score_codex":0.000004831376,"about_ca_topic_score_gemma":0.000006289226,"teacher_disagreement_score":0.43405572,"about_ca_system_score_codex":0.0000531728,"about_ca_system_score_gemma":0.000092755145,"threshold_uncertainty_score":0.22912288},"labels":[],"label_agreement":null},{"id":"W220237590","doi":"10.1023/a:1011206122551","title":"Optimizing CMOS Transconductor-C Filters for Low Power Wide Band Operation","year":2001,"lang":"en","type":"article","venue":"Analog Integrated Circuits and Signal Processing","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Bandwidth (computing); Control theory (sociology); CMOS; Filter (signal processing); Mathematics; Electronic engineering; Figure of merit; Spice; Engineering; Computer science; Physics; Electrical engineering; Telecommunications; Optoelectronics","score_opus":0.020880911879979442,"score_gpt":0.25362143937774106,"score_spread":0.2327405274977616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W220237590","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":[0.12270776,0.006720444,0.86514586,0.00007313413,0.00013620633,0.00046265815,0.000027028349,0.00028159513,0.0044452995],"genre_scores_gemma":[0.99840444,0.00017384089,0.00082616,0.000134276,0.00009534142,0.00006184623,0.00004986396,0.000069178146,0.00018502574],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983139,0.000035023964,0.0004530623,0.00039213366,0.00023923651,0.000566624],"domain_scores_gemma":[0.99926424,0.00011477219,0.000063573425,0.00010468158,0.0002523173,0.0002003978],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033523355,0.00031908188,0.00036405702,0.00018654474,0.00047334956,0.00042564393,0.00015940036,0.00016510158,0.00009627553],"category_scores_gemma":[0.00004017574,0.00026744863,0.00008119156,0.0003471235,0.000100146564,0.0009357866,0.0000072611406,0.00036022117,0.0000042033153],"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":[0.00007668584,0.00006534177,0.00043922497,0.0011342975,0.00017127155,0.00007362491,0.0031671256,0.10761847,0.52670497,0.00027399365,0.0007446855,0.35953033],"study_design_scores_gemma":[0.0025794224,0.0004788695,0.00013123774,0.0024226208,0.0000978541,0.00020208722,0.0043291994,0.8874523,0.08545995,0.0018047625,0.01340866,0.0016330448],"about_ca_topic_score_codex":0.000015732427,"about_ca_topic_score_gemma":0.0000110016335,"teacher_disagreement_score":0.8756967,"about_ca_system_score_codex":0.000080532656,"about_ca_system_score_gemma":0.0000947559,"threshold_uncertainty_score":0.99997777},"labels":[],"label_agreement":null},{"id":"W2278099527","doi":"10.14288/1.0076400","title":"Infrastructure rehabilitation planning : combined system dynamics and optimization methods","year":2015,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Rehabilitation; System dynamics; Medicine; Artificial intelligence; Physical therapy","score_opus":0.009581119000859308,"score_gpt":0.22510242576348127,"score_spread":0.21552130676262196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278099527","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":[0.37034798,0.00020344513,0.62809914,0.000007900289,0.00009870021,0.00011771905,0.000018434297,0.00012291607,0.0009837766],"genre_scores_gemma":[0.88287836,0.0000089506,0.11702838,0.0000011202658,0.000012010713,3.6552544e-7,0.00001320423,0.000011835633,0.000045762674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994242,0.000067436486,0.00009953635,0.00014065322,0.00014158018,0.00012654916],"domain_scores_gemma":[0.99951607,0.000066564964,0.000046539626,0.00008998811,0.00016987087,0.00011094247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031488418,0.0000320748,0.00016877898,0.00004127132,0.00010567171,0.00006741147,0.00008798855,0.000080869,0.0000029149521],"category_scores_gemma":[0.00006132043,0.000102420694,0.000022720254,0.00018217455,0.000091043665,0.00033902933,0.000040731855,0.00010585948,4.258687e-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":[0.000009221901,0.000006555613,0.003615203,0.0006783365,0.000023861532,0.000024293478,0.0006479078,0.59786403,0.00007639515,0.000011143099,0.00044157472,0.39660147],"study_design_scores_gemma":[0.00053517875,0.000064052954,0.08313105,0.00030543105,0.0000093660565,0.000032709344,0.009596532,0.9059861,3.74998e-7,0.00020050668,0.00003365113,0.00010509865],"about_ca_topic_score_codex":0.0015864291,"about_ca_topic_score_gemma":0.0010959917,"teacher_disagreement_score":0.5125304,"about_ca_system_score_codex":0.00018253738,"about_ca_system_score_gemma":0.00002703568,"threshold_uncertainty_score":0.41765946},"labels":[],"label_agreement":null},{"id":"W2294929898","doi":"10.5555/2872550.2872557","title":"Automatic validation for multi criteria decision making models in simulation environments","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Decision support system; Evidential reasoning approach; Computer science; Decision analysis; Decision model; Decision engineering; Business decision mapping; R-CAST; Multiple-criteria decision analysis; Decision field theory; Decision-making models; Optimal decision; Measure (data warehouse); Decision tree; Data mining; Machine learning; Artificial intelligence; Operations research; Engineering; Mathematics; Statistics","score_opus":0.1530963023879873,"score_gpt":0.4008978534105388,"score_spread":0.2478015510225515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294929898","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":[0.11815106,0.00006812377,0.8810438,0.0000019669294,0.00008919456,0.00025459073,0.0000014172272,0.00006717701,0.00032265458],"genre_scores_gemma":[0.8737147,0.000001708497,0.12616405,0.0000039103275,0.00002464257,0.00003236226,0.0000042848824,0.000017539905,0.000036815796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993407,0.000015571806,0.00022092884,0.0001031714,0.00016638532,0.00015320333],"domain_scores_gemma":[0.9997393,0.000100901205,0.000019338513,0.00007807303,0.000018261666,0.000044140463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003196978,0.00007258225,0.00009549678,0.000085218984,0.000027389664,0.000040489263,0.00005458282,0.00004576633,0.000013352932],"category_scores_gemma":[0.00008876576,0.00006593765,0.000016265438,0.00006848043,0.0000059512495,0.00050898385,0.000014891156,0.000043978416,0.000008372581],"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":[0.000006359104,0.000008287891,0.00003644489,0.000044873123,0.000001950076,5.5076697e-7,0.00019008348,0.9507099,0.0014782633,0.000028404509,0.00002095927,0.047473956],"study_design_scores_gemma":[0.00048277434,0.00001203355,0.00006587862,0.00011347359,0.000001196077,4.2446396e-7,0.000081811326,0.9926499,0.0007472955,0.005647898,0.000117267,0.00008003632],"about_ca_topic_score_codex":0.0000017108855,"about_ca_topic_score_gemma":0.0000013018745,"teacher_disagreement_score":0.7555636,"about_ca_system_score_codex":0.00013686955,"about_ca_system_score_gemma":0.0000067689098,"threshold_uncertainty_score":0.26888594},"labels":[],"label_agreement":null},{"id":"W2316020023","doi":"10.2316/journal.211.2012.1.211-1047","title":"MARKET-BASED DISTRIBUTED OPTIMIZATION APPROACHES FOR THREE CLASSES OF RESOURCE ALLOCATION PROBLEMS","year":2012,"lang":"en","type":"article","venue":"Parallel and Distributed Computing and Networks","topic":"Advanced Research in Systems and Signal Processing","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":"Computer science; Resource allocation; Resource (disambiguation); Distributed computing; Operations research; Computer network","score_opus":0.032512434201298956,"score_gpt":0.24403398256872483,"score_spread":0.21152154836742587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316020023","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":[0.0055051716,0.005492193,0.9883298,0.000034438446,0.000048292393,0.000295407,0.000044579276,0.00010131647,0.00014874521],"genre_scores_gemma":[0.98972267,0.000052331965,0.009514332,0.0000046568325,0.00014570884,0.000026227675,0.00051220326,0.000017662145,0.000004183835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991111,0.000035411038,0.00026704362,0.00014822408,0.0000974906,0.00034072073],"domain_scores_gemma":[0.9994004,0.00025453835,0.000083110666,0.000088090215,0.00005514191,0.00011876283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041719747,0.00014410273,0.00021123342,0.000032750122,0.00017742987,0.000046692956,0.000060121267,0.00010306992,0.0000015017349],"category_scores_gemma":[0.00003908694,0.00012801147,0.000031410123,0.00015817827,0.000066011475,0.00009974822,0.000028105558,0.000115957824,5.1945758e-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":[0.000035963425,0.000023747374,0.0026879963,0.00036136812,0.000026002313,9.264451e-8,0.000031018488,0.9818501,0.000011699876,0.00019370069,0.00041644022,0.014361883],"study_design_scores_gemma":[0.00047760858,0.00003353345,0.0015714002,0.00015071008,0.000017470215,0.000002757158,0.00006755507,0.9964901,0.00001613492,0.0001012819,0.00092376536,0.00014765406],"about_ca_topic_score_codex":0.000003343507,"about_ca_topic_score_gemma":0.0000011424908,"teacher_disagreement_score":0.9842175,"about_ca_system_score_codex":0.000019434232,"about_ca_system_score_gemma":0.000008486148,"threshold_uncertainty_score":0.52201563},"labels":[],"label_agreement":null},{"id":"W2331023012","doi":"10.4006/0836-1398-27.2.215","title":"Logical re-examination of the classical electromagnetism and rational reconstruction of the formal system to describe dynamic electromagnetic fields","year":2014,"lang":"en","type":"article","venue":"Physics Essays","topic":"Advanced Research in Systems and Signal Processing","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":"Electromagnetism; Physics; Theoretical physics; Classical mechanics; Electromagnetic field; Classical electromagnetism; Calculus (dental); Epistemology; Philosophy; Quantum mechanics; Medicine","score_opus":0.009414764130565377,"score_gpt":0.21920263697680084,"score_spread":0.20978787284623546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331023012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7666934,0.00008727718,0.22353846,0.00010405424,0.00020241697,0.00023841867,0.000003912563,0.0000324163,0.009099612],"genre_scores_gemma":[0.999289,0.0000044074836,0.0005668083,0.0000057001375,0.00006892518,0.000015813483,0.0000010420491,0.00000901324,0.00003931132],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992315,0.00008903126,0.00019600807,0.00009796764,0.00022553674,0.00015995107],"domain_scores_gemma":[0.9996006,0.00010553464,0.000058280977,0.00013358786,0.000072245726,0.000029764033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021603763,0.000079075435,0.00012926127,0.000018798315,0.00009834628,0.00001492331,0.00012573432,0.00005318282,0.0000020909229],"category_scores_gemma":[0.00005270466,0.00005005182,0.0000412542,0.00017749271,0.00007364112,0.00012000292,0.000040609346,0.00017065257,4.6850573e-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":[0.000026744612,0.000033865766,0.00019642417,0.00084026635,0.000029906954,2.4353054e-7,0.0004729507,0.02779189,0.6109194,0.16739172,0.00007256706,0.192224],"study_design_scores_gemma":[0.0003572749,0.00033440755,0.008797979,0.0003075142,0.00002267,0.000031562857,0.00013267515,0.9376502,0.032349218,0.019813284,0.000035780977,0.0001674378],"about_ca_topic_score_codex":0.000002476266,"about_ca_topic_score_gemma":0.000006982379,"teacher_disagreement_score":0.9098583,"about_ca_system_score_codex":0.00004625803,"about_ca_system_score_gemma":0.000016873397,"threshold_uncertainty_score":0.2041054},"labels":[],"label_agreement":null},{"id":"W2334262475","doi":"","title":"MODELLING THE ADAPTATION OF BUSINESS CONTINUITY PLANNING BY BUSINESSES USING NEURAL NETWORKS: MODELLING BUSINESS CONTINUITY PLANNING USING NEURAL NETWORKS","year":2011,"lang":"en","type":"article","venue":"Intelligent Systems in Accounting Finance & Management","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; York University","funders":"","keywords":"Adaptation (eye); Artificial neural network; Process management; Computer science; Business; Artificial intelligence; Psychology","score_opus":0.07611049873973946,"score_gpt":0.27914444839835567,"score_spread":0.2030339496586162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334262475","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":[0.3776894,0.0099128615,0.6097787,0.0000025457693,0.0015070335,0.00080203655,0.0000057181005,0.00013693719,0.00016478336],"genre_scores_gemma":[0.9943676,0.00040340706,0.0044560623,0.000013785086,0.0004606242,0.000089360314,0.000020624453,0.00016016414,0.000028396076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949217,0.00019002745,0.0019932713,0.00078045,0.0007991506,0.0013154178],"domain_scores_gemma":[0.99736035,0.00023136735,0.0009515383,0.000607883,0.0007695535,0.00007930931],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019062355,0.00073712564,0.0010246558,0.0004381534,0.0005250176,0.0004049082,0.0008826931,0.00026686088,0.0000037638206],"category_scores_gemma":[0.000049985236,0.0006680488,0.00013207932,0.0021395537,0.00019848808,0.0013330491,0.0002996184,0.00077042554,9.619495e-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":[0.00008782635,0.00005618995,0.0031114146,0.0013431412,0.0000890869,0.00007139762,0.001322106,0.98912656,0.000091792455,0.00018460205,0.000017908362,0.0044979677],"study_design_scores_gemma":[0.00037029068,0.0000129059135,0.00024199483,0.0041956776,0.00007211798,0.000024388748,0.002434814,0.99158794,0.00005875387,0.000060059956,0.0002808911,0.00066015165],"about_ca_topic_score_codex":0.0040052417,"about_ca_topic_score_gemma":0.000016452195,"teacher_disagreement_score":0.6166782,"about_ca_system_score_codex":0.0003767869,"about_ca_system_score_gemma":0.00003501324,"threshold_uncertainty_score":0.99957705},"labels":[],"label_agreement":null},{"id":"W2402210512","doi":"","title":"Полученные результаты позволяют надеяться на успешное применение алгоритмов автоматической класси- фикации в компьютерных системах технической диагностики электрорадиоизделий. Ключевые слова: диагностика, электрорадиоизделие, классификация, генерация данных. ABOUT RESEARCH OF RADIO-ELECTRONIC EQUIPMENT DIAGNOSTICS COMPUTER SYSTEM ON THE BASIS OF EXPERIMENTAL DATA","year":2014,"lang":"ru","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ant colony optimization algorithms; Data set; Computer science; Operations research; Algorithm; Mathematics; Artificial intelligence","score_opus":0.07956155972377582,"score_gpt":0.342673346169565,"score_spread":0.2631117864457892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402210512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6501063,0.14098711,0.08192352,0.0036982019,0.01607992,0.021517057,0.0060607553,0.0031469332,0.076480165],"genre_scores_gemma":[0.9820604,0.0036163433,0.004560157,0.00020116178,0.0048447377,0.0008102712,0.0006619404,0.0012171353,0.0020278525],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.96525246,0.005441095,0.007153271,0.005274196,0.008835205,0.008043755],"domain_scores_gemma":[0.97039783,0.010941933,0.002846719,0.010875283,0.0027428165,0.0021954044],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.016457506,0.0038055065,0.005663569,0.0024856876,0.002881043,0.0012057412,0.011307803,0.0023195194,0.0009890302],"category_scores_gemma":[0.002858376,0.003405753,0.0016213299,0.004380739,0.0039635412,0.0019964327,0.0053896876,0.00758581,0.0008649463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056969225,0.010594331,0.0039154207,0.028287672,0.01336309,0.0016212903,0.025825989,0.09844085,0.110677645,0.2682975,0.16772707,0.26555222],"study_design_scores_gemma":[0.01912955,0.013506604,0.0035542746,0.03959738,0.0021005233,0.0010906152,0.018141901,0.50086135,0.2516124,0.0026264,0.13623074,0.011548288],"about_ca_topic_score_codex":0.0015490775,"about_ca_topic_score_gemma":0.00022159332,"teacher_disagreement_score":0.4024205,"about_ca_system_score_codex":0.0042350586,"about_ca_system_score_gemma":0.002318959,"threshold_uncertainty_score":0.9999242},"labels":[],"label_agreement":null},{"id":"W2403421414","doi":"10.2316/journal.201.2015.2.201-2706","title":"THE NEW PROCESSED DATA BASED METHOD OF INFORMATION SECURITY FOR INTELLIGENT EQUIPMENT","year":2015,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Advanced Research in Systems and Signal Processing","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; Information security; Computer security","score_opus":0.06146649701448103,"score_gpt":0.3305868166061696,"score_spread":0.2691203195916886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403421414","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":[0.000103318285,0.009915051,0.9875703,0.00014327983,0.00055167364,0.0010791948,0.000054758275,0.000058319558,0.00052411156],"genre_scores_gemma":[0.9976713,0.00014293227,0.0017132782,0.000025689125,0.00019343896,0.00011408222,0.00004100758,0.000016468653,0.00008177276],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857205,0.000066915825,0.00062619935,0.00014509339,0.00032029772,0.0002694676],"domain_scores_gemma":[0.9985979,0.0003850742,0.00014145082,0.00034880455,0.00031856901,0.00020816604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019627796,0.00014971363,0.00028778764,0.00006563733,0.000098918856,0.00019744148,0.00038318618,0.00006626269,0.000001379314],"category_scores_gemma":[0.0003964132,0.00009682561,0.00003736943,0.00011223348,0.00003884335,0.0005336517,0.000050078765,0.00010812767,0.0000044288136],"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":[0.001138304,0.0000975376,0.00017737018,0.009539419,0.0006960936,0.0000022061488,0.0055520916,0.44808438,0.0033988855,0.015732186,0.053652465,0.46192905],"study_design_scores_gemma":[0.00053163397,0.000088837194,0.000001426738,0.00014946295,0.00001581768,0.000003016715,0.0013674215,0.7774491,0.0023324157,0.000711706,0.21724647,0.00010273557],"about_ca_topic_score_codex":0.0000675036,"about_ca_topic_score_gemma":0.0000051577867,"teacher_disagreement_score":0.997568,"about_ca_system_score_codex":0.00006546832,"about_ca_system_score_gemma":0.00014639516,"threshold_uncertainty_score":0.39484337},"labels":[],"label_agreement":null},{"id":"W2407250161","doi":"10.1016/j.jval.2016.03.834","title":"SINGLE-ENTRY MODELS FOR SCHEDULED SERVICES: TOWARDS A ROADMAP FOR THE IMPLEMENTATION OF BEST PRACTICES","year":2016,"lang":"en","type":"article","venue":"Value in Health","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotel Dieu Hospital; University of Manitoba; Alberta Bone and Joint Health Institute; Kingston General Hospital; University of Calgary","funders":"","keywords":"Triage; Stakeholder; Process management; Health care; Service (business); Best practice; Operations management; Medicine; Computer science; Knowledge management; Business; Engineering; Medical emergency; Public relations; Management; Political science; Marketing","score_opus":0.1561322101641723,"score_gpt":0.4087031227503152,"score_spread":0.25257091258614284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407250161","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":[0.11243699,0.0061069387,0.8755918,0.002482718,0.0003645029,0.002601019,0.00013568644,0.00006775439,0.00021258522],"genre_scores_gemma":[0.9897975,0.0004142532,0.009294985,0.000036297766,0.00012645528,0.0002657227,0.0000037515892,0.000024920026,0.00003614839],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895287,0.000048053764,0.00039986862,0.00012999553,0.00016620841,0.00030301363],"domain_scores_gemma":[0.99878484,0.00069998903,0.00023335029,0.0001286953,0.00009924202,0.000053881322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009948022,0.0000838526,0.00016362683,0.000060101065,0.00008775659,0.000022254915,0.0001327435,0.000037486832,0.000004215253],"category_scores_gemma":[0.00008477332,0.000050301733,0.00003840219,0.000105831474,0.000016905531,0.00037504165,0.00001500356,0.000055990207,6.176995e-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":[0.00018360278,0.00010866624,0.00056091323,0.014285023,0.0000932653,5.864871e-7,0.004298242,0.4031776,0.014765926,0.0049109203,0.00014821357,0.55746704],"study_design_scores_gemma":[0.0023462812,0.0004787538,0.00007061306,0.0016516871,0.000012619241,0.000003100842,0.0069754543,0.9596808,0.009759766,0.009546815,0.0092926305,0.00018148882],"about_ca_topic_score_codex":0.0014617788,"about_ca_topic_score_gemma":0.00013941982,"teacher_disagreement_score":0.87736046,"about_ca_system_score_codex":0.00014547515,"about_ca_system_score_gemma":0.00014228772,"threshold_uncertainty_score":0.2209782},"labels":[],"label_agreement":null},{"id":"W2501322499","doi":"10.1007/978-1-4419-1549-8","title":"Structurally Constrained Controllers","year":2011,"lang":"en","type":"book","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Control engineering; Computer science; Control theory (sociology); Control (management); Power network; Power (physics); Electric power system; Engineering; Artificial intelligence; Physics","score_opus":0.018798439480992316,"score_gpt":0.22487044984416826,"score_spread":0.20607201036317596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501322499","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000004061848,0.0012595598,0.015569182,0.0000037536515,0.00037246043,0.0002361115,0.000022753095,0.00043807016,0.98209405],"genre_scores_gemma":[0.018425174,0.000083503226,0.001372185,0.000025745278,0.0003247196,0.000012623893,0.000025355497,0.00009454018,0.97963613],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989967,0.000008787464,0.00028632695,0.0001761935,0.00021686048,0.00031513508],"domain_scores_gemma":[0.999517,0.000052268082,0.00004209205,0.00017786697,0.000074899006,0.0001358338],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000085261374,0.0002716402,0.00040196715,0.00009646219,0.000049536087,0.00004038732,0.00020026605,0.00025892243,0.0015439802],"category_scores_gemma":[0.000013144682,0.00021584683,0.00010128739,0.000027470378,0.000107811335,0.00009092744,0.000022079752,0.00044179455,0.00013348118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010181527,0.000013279325,0.000004864072,0.004655575,0.0019696872,0.00055903336,0.00063772156,0.016167918,0.0058071115,0.15107785,0.5788897,0.24011542],"study_design_scores_gemma":[0.0011824671,0.00007161308,0.000002629134,0.0005440649,0.00003877963,0.00006661019,0.000055355806,0.010864281,0.00040811783,0.04869495,0.93695563,0.0011154984],"about_ca_topic_score_codex":0.0000020048449,"about_ca_topic_score_gemma":0.0000030347455,"teacher_disagreement_score":0.3580659,"about_ca_system_score_codex":0.00011963607,"about_ca_system_score_gemma":0.00015336552,"threshold_uncertainty_score":0.9993687},"labels":[],"label_agreement":null},{"id":"W2888673436","doi":"10.1007/978-3-319-99813-8_16","title":"Analysis of Rates of Agents’ Decisions in Learning to Cross a Highway in Populations with Risk Takers and Risk Avoiders","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Social learning; Observational learning; Cognition; Observational study; Artificial intelligence; Machine learning; Knowledge management; Psychology; Statistics","score_opus":0.03362374783331294,"score_gpt":0.31550125160805936,"score_spread":0.2818775037747464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888673436","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":[0.32514063,0.00020757434,0.67434275,0.000004715349,0.000053391926,0.00013480666,0.000012830623,0.000011639653,0.00009163784],"genre_scores_gemma":[0.95402557,0.000116923744,0.045786306,0.0000047683593,0.000020845331,0.0000038502267,0.0000029867795,0.000017281836,0.000021442089],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837065,0.000040208386,0.00046530744,0.00042790367,0.0004176255,0.00027831152],"domain_scores_gemma":[0.99880224,0.0005475889,0.00017670022,0.00024485384,0.00014589854,0.00008272727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008481014,0.0001939524,0.00048638237,0.001753969,0.000102292375,0.00006855509,0.00029892402,0.00011370132,0.000009981877],"category_scores_gemma":[0.00039300663,0.00015930766,0.00004727394,0.0015842939,0.00040924712,0.00016594862,0.00012364812,0.0005484024,5.610765e-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":[0.00000939476,0.0000037637524,0.11020024,0.000023293205,0.000030613497,0.0000056029235,0.0016129471,0.8578959,0.00006868767,0.000010805475,4.402296e-7,0.030138306],"study_design_scores_gemma":[0.0002098525,0.0000910607,0.049137842,0.0008192678,0.00003095441,0.0000014697907,0.000008861618,0.94625324,0.00032384633,0.002873542,0.000034997567,0.00021505952],"about_ca_topic_score_codex":0.00029715287,"about_ca_topic_score_gemma":0.0028576937,"teacher_disagreement_score":0.628885,"about_ca_system_score_codex":0.00011112829,"about_ca_system_score_gemma":0.00006424374,"threshold_uncertainty_score":0.6496378},"labels":[],"label_agreement":null},{"id":"W2888989659","doi":"10.13033/isahp.y2018.053","title":"SYSTEM-OF-SYSTEMS SITUATIONAL AWARENESS EFFECTIVENESS USING AHP","year":2018,"lang":"en","type":"article","venue":"ISAHP proceedings","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Analytic hierarchy process; Situation awareness; Computer science; Situational ethics; Operations research; Psychology; Engineering; Social psychology","score_opus":0.03359451999280077,"score_gpt":0.30336319492554353,"score_spread":0.26976867493274276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888989659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8868515,0.0005582103,0.10225291,0.0000025180996,0.0009286476,0.0003638538,0.000011612334,0.0003447366,0.008685998],"genre_scores_gemma":[0.9981985,0.0000036295191,0.000908372,0.000001793556,0.000750586,0.000043020143,0.0000023312402,0.00005494008,0.000036819758],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985169,0.000018999343,0.0003781312,0.00025365397,0.0004643558,0.00036794713],"domain_scores_gemma":[0.9989228,0.00007789319,0.0000977316,0.00009741468,0.0006940179,0.00011013017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006495166,0.00019916458,0.0003469997,0.00017464464,0.0002080488,0.00009147436,0.00021736967,0.00011815573,0.000007747491],"category_scores_gemma":[0.00006765335,0.00018126878,0.000056359968,0.0004490936,0.00014242953,0.0004585009,0.000046986996,0.0001438034,0.00001888692],"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":[0.0000947081,0.00004361514,0.01160235,0.013414674,0.00018025073,0.000011033305,0.0010752055,0.034720533,0.92127246,0.015390966,0.0003420648,0.0018521317],"study_design_scores_gemma":[0.00077154045,0.0001452162,0.0011710917,0.0033590165,0.000034946534,0.00016844312,0.001523967,0.8523484,0.1375104,0.00033672416,0.0020591214,0.0005711683],"about_ca_topic_score_codex":0.00005392082,"about_ca_topic_score_gemma":6.111089e-7,"teacher_disagreement_score":0.81762785,"about_ca_system_score_codex":0.00021858966,"about_ca_system_score_gemma":0.00006407719,"threshold_uncertainty_score":0.73919266},"labels":[],"label_agreement":null},{"id":"W2913914075","doi":"10.26190/unsworks/20711","title":"Fairness in Transportation System","year":2018,"lang":"en","type":"article","venue":"UNSWorks (University of New South Wales, Sydney, Australia)","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business","score_opus":0.039721147150171145,"score_gpt":0.24331259652868062,"score_spread":0.20359144937850948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913914075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8373906,0.00010284733,0.15994836,0.000039479135,0.00029845414,0.00022660237,0.000037012323,0.0002137127,0.0017429473],"genre_scores_gemma":[0.9955847,0.000007686304,0.001987032,0.000002034199,0.0001356852,2.7858684e-7,0.000016482665,0.000020410442,0.0022456788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.99891835,0.00002874344,0.00020961958,0.00022539328,0.0002710634,0.0003468257],"domain_scores_gemma":[0.9994458,0.00002179615,0.000073948766,0.00018847814,0.00008560046,0.00018439554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015546821,0.00015468585,0.00027918833,0.0002163891,0.0001043577,0.000018245733,0.00027078384,0.0001861593,0.00010047541],"category_scores_gemma":[0.0000066164816,0.0001904324,0.00007545901,0.00048918737,0.00014425254,0.00031336801,0.000012125129,0.0002522009,0.000056562843],"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":[0.0014311839,0.00035801274,0.12150045,0.015292383,0.0009459546,0.0020475115,0.23118438,0.4817154,0.027129339,0.021772837,0.030580841,0.06604171],"study_design_scores_gemma":[0.019270305,0.0011935853,0.28518772,0.018052137,0.00048991636,0.00010406034,0.3812604,0.2163688,0.009547316,0.0032956982,0.05921226,0.006017818],"about_ca_topic_score_codex":0.0007510299,"about_ca_topic_score_gemma":0.00064634095,"teacher_disagreement_score":0.26534662,"about_ca_system_score_codex":0.00014251377,"about_ca_system_score_gemma":0.00004653082,"threshold_uncertainty_score":0.7765608},"labels":[],"label_agreement":null},{"id":"W2917003027","doi":"10.1109/tcsi.2011.2160007","title":"Guest Editorial Special Issue on ISCAS 2010","year":2011,"lang":"en","type":"editorial","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","score_opus":0.015903244873895404,"score_gpt":0.23892780532221908,"score_spread":0.22302456044832367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917003027","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012789557,0.00068721944,0.003916411,0.000008185799,0.96530974,0.00066980266,0.0004259867,0.00031211367,0.028657729],"genre_scores_gemma":[0.0054018684,0.0008804012,0.0000058408114,0.000005485592,0.9805752,0.00015917554,0.000035383724,0.00023416893,0.012702472],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99579644,0.00017147185,0.0007744377,0.00081368827,0.0016777802,0.0007661722],"domain_scores_gemma":[0.99797684,0.00043389175,0.00016073808,0.0006355247,0.00026275485,0.0005302397],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006165278,0.00078655925,0.0010003338,0.000395187,0.00051891006,0.00032608706,0.00039331816,0.0017953933,0.00014237713],"category_scores_gemma":[0.00006182229,0.0007130258,0.0002622704,0.00023645947,0.00018022287,0.00023299818,0.0000024973076,0.0022191764,0.00021325449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004214124,0.000052543855,7.167435e-8,0.0009341993,0.00023468438,0.000041949537,0.0002900683,0.006426252,0.0009560629,0.000010035782,0.98019093,0.010821034],"study_design_scores_gemma":[0.0007334091,0.00030957072,2.6594844e-7,0.0011447346,0.000078570025,0.00001539754,0.00018059435,0.00024677927,0.0005975428,0.000009985894,0.995929,0.00075415516],"about_ca_topic_score_codex":0.00011359104,"about_ca_topic_score_gemma":0.000032620508,"teacher_disagreement_score":0.015955258,"about_ca_system_score_codex":0.00031237744,"about_ca_system_score_gemma":0.00019439905,"threshold_uncertainty_score":0.9995321},"labels":[],"label_agreement":null},{"id":"W2917185589","doi":"10.1109/tcsi.2013.2272114","title":"Guest Editorial: Special Section on the 2012 IEEE Custom Integrated Circuits Conference (CICC 2012)","year":2013,"lang":"en","type":"editorial","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Section (typography); Special section; Electronic circuit; Integrated circuit; Computer science; Engineering; Electrical engineering; Telecommunications; Library science; Operating system; Engineering physics","score_opus":0.020171383992511414,"score_gpt":0.2385569047480243,"score_spread":0.21838552075551287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917185589","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012820154,0.00085308723,0.026898805,0.000034814744,0.9612828,0.0014151356,0.000453648,0.00041162086,0.008521877],"genre_scores_gemma":[0.08822509,0.0011269517,0.0000021122967,0.000010909245,0.90037787,0.00047701882,0.000055883513,0.00023117481,0.009492975],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99467874,0.00047174643,0.0009823916,0.0009298051,0.0019986473,0.00093865005],"domain_scores_gemma":[0.99665755,0.0010125942,0.0002879169,0.00078707293,0.00074790436,0.00050695584],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0010542815,0.0009841734,0.0010754884,0.00041972363,0.00092266325,0.0008671293,0.00057030836,0.0016506021,0.00020991087],"category_scores_gemma":[0.000099523575,0.00072894053,0.0002808966,0.00047003373,0.00028941096,0.0006586209,0.0000031961472,0.003367486,0.00019137806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001887386,0.000051922845,9.31672e-8,0.0006439728,0.00030587273,0.000014566383,0.00026958578,0.013566618,0.007194036,0.000039705337,0.97010535,0.0077893757],"study_design_scores_gemma":[0.0006179549,0.00020644341,6.100954e-7,0.00176636,0.00010093432,0.000025850431,0.00052859925,0.0017205867,0.00073973055,0.000015988386,0.99343514,0.00084181974],"about_ca_topic_score_codex":0.0002714212,"about_ca_topic_score_gemma":0.0001315596,"teacher_disagreement_score":0.088096894,"about_ca_system_score_codex":0.0006163743,"about_ca_system_score_gemma":0.00039591707,"threshold_uncertainty_score":0.9996455},"labels":[],"label_agreement":null},{"id":"W2967700493","doi":"10.1109/rose.2019.8790427","title":"Navigational data imputation with GPS pinning in compositional Kalman filter for IoT systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Kalman filter; Computer science; Redundancy (engineering); Real-time computing; Raw data; Data stream mining; Data mining; Data processing; Sensor fusion; Extended Kalman filter; Imputation (statistics); Database; Artificial intelligence; Missing data; Machine learning","score_opus":0.033089545164892126,"score_gpt":0.2985843322187145,"score_spread":0.26549478705382235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967700493","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":[0.19489856,0.00047490167,0.8002545,0.00011079752,0.00022114327,0.0008131574,0.00011227668,0.0001379113,0.0029767514],"genre_scores_gemma":[0.98638815,7.6275995e-7,0.012816116,0.000020029289,0.00010770863,0.000042543594,0.000389573,0.000020996933,0.00021410851],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992343,0.000012431917,0.00018658456,0.00017441832,0.00021412356,0.0001781162],"domain_scores_gemma":[0.99961436,0.000113946124,0.000024102179,0.00014408222,0.000066637156,0.0000368965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002223346,0.00008247907,0.000116357136,0.0000633308,0.00004367558,0.00005752718,0.00013716865,0.000034822933,0.000029321087],"category_scores_gemma":[0.000006506797,0.000066501234,0.000010177136,0.00010317899,0.000012928218,0.00022242137,0.000025201141,0.000100363126,0.000015501168],"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":[0.000024281931,0.000009085139,0.0013035674,0.00044330498,0.000020796402,0.0000024875526,0.00006257858,0.9878137,0.006258766,0.002683248,0.0005795458,0.00079863303],"study_design_scores_gemma":[0.0005339942,0.000037223388,0.0005642636,0.00029947428,0.000001711431,0.000015863125,0.00012346798,0.9965146,0.00030938647,0.00023051589,0.0012502667,0.000119241864],"about_ca_topic_score_codex":0.000020012378,"about_ca_topic_score_gemma":0.0000056158565,"teacher_disagreement_score":0.7914896,"about_ca_system_score_codex":0.000056428442,"about_ca_system_score_gemma":0.00003406541,"threshold_uncertainty_score":0.27118415},"labels":[],"label_agreement":null},{"id":"W2992698293","doi":"","title":"International Multicenter Normative ERG Database Using the ISCEV Standard","year":2006,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Normative; Erg; Medicine; Computer science; Ophthalmology; Political science","score_opus":0.045246067152160924,"score_gpt":0.36073410916270404,"score_spread":0.31548804201054315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992698293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98535603,0.0001119302,0.004292348,0.00011501299,0.00060168235,0.00019938679,0.00004061702,0.00006285809,0.009220152],"genre_scores_gemma":[0.9940169,0.0000027402077,0.00562252,0.00004256568,0.00019934241,0.000017780389,0.0000070176684,0.000015629355,0.00007554142],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99823946,0.000093604176,0.0002873355,0.00030263464,0.0006028602,0.00047409922],"domain_scores_gemma":[0.99919933,0.00014009519,0.00008323727,0.00016721268,0.0002810166,0.00012912831],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00078027387,0.00017319553,0.0001568373,0.0001366645,0.000536204,0.00013864928,0.0006041704,0.000046060537,0.00008986157],"category_scores_gemma":[0.00023385258,0.000120527875,0.000033584718,0.00058753,0.0029559005,0.0009879037,0.00020533684,0.00032234442,0.00002078288],"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":[0.000014276094,0.000021178952,0.003498295,0.000020409601,0.000015608608,0.00008559965,0.0005084213,0.02229765,0.97295624,0.00023636354,0.00013302935,0.00021292799],"study_design_scores_gemma":[0.0004887399,0.000107442705,0.0037467843,0.0001760557,0.000009703908,0.00027306887,0.001063093,0.36387175,0.62451947,0.0038871306,0.0014662534,0.00039049998],"about_ca_topic_score_codex":0.00010090005,"about_ca_topic_score_gemma":0.0000024862286,"teacher_disagreement_score":0.34843674,"about_ca_system_score_codex":0.0002559009,"about_ca_system_score_gemma":0.00013208888,"threshold_uncertainty_score":0.99975747},"labels":[],"label_agreement":null},{"id":"W3003036188","doi":"10.1142/9789814405072_0134","title":"NEUTRON AND PROTON TESTS OF DIFFERENT TECHNOLOGIES FOR THE UPGRADE OF COLD READOUT ELECTRONICS OF THE ATLAS HADRONIC ENDCAP CALORIMETER","year":2012,"lang":"en","type":"book-chapter","venue":"Astroparticle, particle, space physics, radiation interaction, detectors and medical physics applications","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Atlas (anatomy); Upgrade; Nuclear physics; Hadron; Physics; Neutron; Large Hadron Collider; Calorimeter (particle physics); Particle physics; Proton; Nuclear engineering; Engineering; Detector; Computer science; Optics","score_opus":0.013645849550215267,"score_gpt":0.26434928723505374,"score_spread":0.2507034376848385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003036188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67515546,0.024327451,0.2823802,0.00257966,0.00075018714,0.0133416755,0.00038822956,0.00042818053,0.00064898963],"genre_scores_gemma":[0.99816275,0.0008439341,0.00008839544,0.0000035285661,0.00017018498,0.0005511407,0.0000050614185,0.000037517635,0.0001374899],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876857,0.00001955693,0.0004463016,0.00018835966,0.0003271282,0.00025007236],"domain_scores_gemma":[0.99864894,0.0004264039,0.00035792604,0.0003327496,0.00014988659,0.000084110405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013369422,0.00020062255,0.00032308846,0.000024395373,0.00012261014,0.000017366216,0.00016671781,0.00010851581,0.0000031900875],"category_scores_gemma":[0.00005636586,0.00013517358,0.00010694577,0.000099978264,0.00039363813,0.00013210814,0.000062378924,0.00035845998,7.7712633e-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":[0.000089926536,0.00028923416,0.002398411,0.0016472338,0.00061232876,1.0060319e-7,0.0006948443,0.0032172662,0.46711293,0.19916074,0.00028763988,0.32448936],"study_design_scores_gemma":[0.0006378,0.00023018985,0.0014344171,0.0003296214,0.0002826142,0.000002407412,0.00014472162,0.034022816,0.9298124,0.015441366,0.017383868,0.0002778116],"about_ca_topic_score_codex":0.000017024677,"about_ca_topic_score_gemma":0.000011423121,"teacher_disagreement_score":0.46269944,"about_ca_system_score_codex":0.000071338865,"about_ca_system_score_gemma":0.00005124941,"threshold_uncertainty_score":0.55122185},"labels":[],"label_agreement":null},{"id":"W3016021510","doi":"10.36227/techrxiv.12095412.v1","title":"Automating Software Develpoment using Artificial Intelligence","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Software; Artificial intelligence; Software engineering; Operating system","score_opus":0.14885644482866536,"score_gpt":0.34620761528536015,"score_spread":0.19735117045669479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016021510","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":[0.005722165,0.0006193316,0.98981696,0.00004413533,0.0009393203,0.00030088634,0.000012509374,0.0012235813,0.0013211336],"genre_scores_gemma":[0.71869135,0.000022108523,0.28049678,0.00002367392,0.0006287764,0.000028877463,0.000012476081,0.0000768427,0.000019127048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981816,0.000030514733,0.0005869883,0.00038021122,0.00040657204,0.00041414303],"domain_scores_gemma":[0.99934745,0.00007166688,0.00007838761,0.0002322523,0.00009042351,0.00017980456],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021440334,0.00031030108,0.00037618115,0.000102391125,0.0001298217,0.00022099286,0.00034162158,0.00021059535,0.00010846867],"category_scores_gemma":[0.00014579113,0.00029809706,0.00009644458,0.00018777214,0.000038082362,0.0001097784,0.0005185119,0.0008749208,0.00005340887],"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":[0.0000025034133,0.0000074197646,0.000016797581,0.0018823263,0.000058086185,0.000021539323,0.0002801132,0.8686985,0.004962038,0.0010034919,0.000053296975,0.123013884],"study_design_scores_gemma":[0.000012443169,0.000008912761,0.0000054316474,0.00062913,0.000009192519,0.00000642812,0.0001993864,0.95670253,0.010766614,0.031122675,0.00014953226,0.0003877249],"about_ca_topic_score_codex":0.000018817838,"about_ca_topic_score_gemma":0.000002595031,"teacher_disagreement_score":0.7129692,"about_ca_system_score_codex":0.00026938433,"about_ca_system_score_gemma":0.0001352968,"threshold_uncertainty_score":0.99994713},"labels":[],"label_agreement":null},{"id":"W3040988","doi":"","title":"COMPUTATIONAL REPRESENTATION OF LINGUISTIC SEMANTICS FOR REQUIREMENT ANALYSIS IN ENGINEERING DESIGN","year":2013,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Advanced Research in Systems and Signal Processing","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":"Semantics (computer science); Representation (politics); Computer science; Linguistic analysis; Linguistics; Programming language; Deep linguistic processing; Natural language processing; Artificial intelligence; Philosophy","score_opus":0.03308694282722342,"score_gpt":0.3023481728846527,"score_spread":0.2692612300574293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040988","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":[0.2459253,0.00029165426,0.7535486,0.0000397528,0.00007894465,0.000102647406,5.186437e-7,0.000004804436,0.000007738983],"genre_scores_gemma":[0.97223413,0.00007799523,0.02766327,0.0000017849582,0.0000069700536,0.000004581726,7.778816e-7,0.000007877293,0.000002598267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913126,0.00005451512,0.00052037486,0.00003541193,0.00013773557,0.000120691955],"domain_scores_gemma":[0.99867445,0.0008328399,0.00016427205,0.000060070604,0.00024212876,0.000026234851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005781856,0.000055643894,0.000276535,0.00024819688,0.000020348942,0.000008216114,0.00011353972,0.000028422255,0.000007805349],"category_scores_gemma":[0.00034340698,0.000039974777,0.00005674448,0.00029727846,0.000024046218,0.00007470502,0.000009303602,0.000100101235,6.6331864e-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":[0.000013732707,0.0000070657347,0.004107853,0.00014001458,0.00017797918,6.922934e-7,0.00054031354,0.99296975,0.0014710932,0.00019967569,0.00005419212,0.00031764168],"study_design_scores_gemma":[0.00026142978,0.000042939795,0.0008366865,0.00009579718,0.00004929908,0.0000599864,0.0001411995,0.99393946,0.00070710125,0.0038155373,0.000009167695,0.000041374708],"about_ca_topic_score_codex":0.000026761956,"about_ca_topic_score_gemma":0.0000022931317,"teacher_disagreement_score":0.7263088,"about_ca_system_score_codex":0.00003171237,"about_ca_system_score_gemma":0.000020872238,"threshold_uncertainty_score":0.1630124},"labels":[],"label_agreement":null},{"id":"W3048969334","doi":"10.1109/cjece.2020.3008805","title":"Guest Editorial Special Issue on CCECE 2019","year":2020,"lang":"en","type":"editorial","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Victoria; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Section (typography); Special section; Library science; Engineering; Telecommunications; Computer science; Engineering physics; Operating system","score_opus":0.004129139615787732,"score_gpt":0.1981423592720634,"score_spread":0.19401321965627566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048969334","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000022253576,0.0019791112,0.00684704,0.000042160445,0.9906056,0.00008164476,0.000034114113,0.00003906381,0.00034902946],"genre_scores_gemma":[0.000581048,0.0001689197,0.00034248416,0.00001354936,0.9987369,0.0000016819273,0.000012352152,0.00007847425,0.00006459979],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99807954,0.000022428338,0.00050748844,0.0002158128,0.00059994386,0.0005747717],"domain_scores_gemma":[0.9979992,0.00043161825,0.000092303475,0.000103095925,0.00023551637,0.001138278],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00018717143,0.00035355703,0.000621975,0.00041180162,0.000084372805,0.00024530472,0.00037191476,0.00051187054,0.000015707195],"category_scores_gemma":[0.00034059936,0.00033094035,0.00012462155,0.00029301157,0.000025584188,0.00015092884,0.000018915604,0.0024405627,0.000017836786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012699694,0.0000030027686,0.0000011899383,0.00013396176,0.00007234709,0.0002677791,0.00004329054,0.018711919,0.000021044109,0.0000140112525,0.9748256,0.005893107],"study_design_scores_gemma":[0.0003243584,0.00037619116,0.0000033367933,0.00033487764,0.000018053854,0.000028085844,0.0000010732849,0.016744709,0.0000374092,0.000017050495,0.98179144,0.00032339833],"about_ca_topic_score_codex":0.000064258784,"about_ca_topic_score_gemma":0.00002857231,"teacher_disagreement_score":0.008131308,"about_ca_system_score_codex":0.00030615335,"about_ca_system_score_gemma":0.00056789606,"threshold_uncertainty_score":0.9999143},"labels":[],"label_agreement":null},{"id":"W3074319202","doi":"10.1109/jrfid.2020.3016166","title":"IEEE Council on Radio-Frequency Identification: History, Present, and Future Vision","year":2020,"lang":"en","type":"article","venue":"IEEE Journal of Radio Frequency Identification","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Scope (computer science); Identification (biology); Transformational leadership; Computer science; Radio-frequency identification; Telecommunications; Cyber-physical system; Path (computing); Data science; Computer security; Political science; Public relations; Computer network","score_opus":0.046908326574328765,"score_gpt":0.2668966626624375,"score_spread":0.21998833608810875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3074319202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43702662,0.16884893,0.32671204,0.016682744,0.036182318,0.0025199084,0.00012886841,0.00090440584,0.010994167],"genre_scores_gemma":[0.98994017,0.0030845213,0.00083369424,0.000060943406,0.005665454,0.000017186365,0.0000065586078,0.00007117612,0.00032032028],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965192,0.00014811626,0.0012546033,0.00036462533,0.0013874219,0.00032605501],"domain_scores_gemma":[0.9975963,0.00009350387,0.00064673123,0.00037079296,0.0009180759,0.00037454386],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001265121,0.0002874018,0.00042254818,0.00021081722,0.00018780642,0.00020920299,0.00049736834,0.00017893806,0.000060460545],"category_scores_gemma":[0.00015633764,0.0002681931,0.00014827214,0.0003375862,0.00013618523,0.0014605572,0.0000071840395,0.0006824918,0.00004916359],"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":[0.000054317086,0.000059719678,0.0001310489,0.0005949718,0.00012302956,0.00009329658,0.002009647,0.005970118,0.9084314,0.00041895732,0.0659911,0.016122382],"study_design_scores_gemma":[0.008245854,0.0024678782,0.014301247,0.002429105,0.0006991009,0.0027010266,0.002367565,0.08889858,0.25528926,0.014942189,0.6035885,0.004069719],"about_ca_topic_score_codex":0.000011677269,"about_ca_topic_score_gemma":0.0000022560298,"teacher_disagreement_score":0.65314215,"about_ca_system_score_codex":0.0015558791,"about_ca_system_score_gemma":0.00031665238,"threshold_uncertainty_score":0.99997705},"labels":[],"label_agreement":null},{"id":"W3090393046","doi":"10.5383/juspn.14.01.004","title":"CLASSIFICATION OF LOGICAL VULNERABILITY BASED ON GROUP ATTACK METHOD","year":2020,"lang":"en","type":"article","venue":"Journal of Ubiquitous Systems and Pervasive Networks","topic":"Advanced Research in Systems and Signal Processing","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":"Vulnerability (computing); Group (periodic table); Computer science; Computer security; Chemistry","score_opus":0.06841061980070537,"score_gpt":0.32419497914557943,"score_spread":0.2557843593448741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090393046","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":[0.07293598,0.0038774207,0.921425,0.0002160327,0.0005401581,0.00025494542,0.000007417511,0.000032530366,0.0007104982],"genre_scores_gemma":[0.9969204,0.00014257482,0.001734844,0.00006355149,0.0011032682,0.0000058858095,0.0000018050395,0.000022359916,0.000005318751],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819404,0.00028608623,0.00075469265,0.00015931927,0.00038840537,0.00021744143],"domain_scores_gemma":[0.9985145,0.0005052716,0.0003235687,0.00012091159,0.00029243,0.00024334755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010924195,0.00016307428,0.00054193096,0.00006279281,0.000068923204,0.00005481572,0.00015796324,0.00015792265,0.000009949708],"category_scores_gemma":[0.00014730169,0.00011769442,0.00012478844,0.00019514158,0.00005368853,0.00014007122,0.000017038097,0.00054574676,6.946483e-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":[0.00013690381,0.00003118821,0.0012405785,0.0007246563,0.000046737685,0.000023949262,0.00016654666,0.9815111,0.007528367,0.00018244998,0.00085584534,0.007551633],"study_design_scores_gemma":[0.0004798256,0.0006164577,0.001573462,0.00043494673,0.000019607864,0.000045635097,0.00036272008,0.99301535,0.00014106496,0.00002722536,0.0031555227,0.00012817245],"about_ca_topic_score_codex":0.000005073096,"about_ca_topic_score_gemma":9.623316e-7,"teacher_disagreement_score":0.9239844,"about_ca_system_score_codex":0.0000572522,"about_ca_system_score_gemma":0.000030269483,"threshold_uncertainty_score":0.47994393},"labels":[],"label_agreement":null},{"id":"W3133692020","doi":"10.32628/cseit19491102","title":"Significance of Natural Language Processing In Language Based Automated Systems and Intelligent Agents","year":2019,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Computer Science Engineering and Information Technology","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Natural language processing; Universal Networking Language; Natural language; Artificial intelligence; Language technology; Natural language programming; Language identification; Comprehension approach","score_opus":0.014782645492895322,"score_gpt":0.31720689731166557,"score_spread":0.30242425181877025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133692020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95221686,0.0010893894,0.045496993,0.000067810295,0.00089701783,0.00014850654,0.000002028372,0.00004740912,0.000033972512],"genre_scores_gemma":[0.99626166,0.000024337936,0.0036802995,0.0000025095717,0.00001917514,0.0000037944299,0.0000010367477,0.0000036799647,0.000003481573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984186,0.00001714551,0.00046377018,0.00010605591,0.0007577793,0.00023664488],"domain_scores_gemma":[0.9992031,0.00006008556,0.00009386215,0.00008993099,0.0005017853,0.000051239032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024661252,0.00006833075,0.00014371204,0.0034105193,0.000035326782,0.00029574684,0.00047519684,0.000045743014,0.0000012800648],"category_scores_gemma":[0.00012812023,0.000058946403,0.000011653936,0.0014070534,0.00026781394,0.0016726822,0.000104293824,0.0003730993,0.0000014134482],"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":[0.000012487187,0.000017011438,0.0015210286,0.00040178787,0.000005925874,0.00002430649,0.0017741515,0.7835191,0.051454425,0.0003652808,0.000014558681,0.16088992],"study_design_scores_gemma":[0.0002483075,0.00003563563,0.0008826365,0.00061003765,2.4312675e-7,0.000036492314,0.0006149115,0.98996466,0.0073656947,0.000015535923,0.00017184051,0.00005402471],"about_ca_topic_score_codex":0.000008420526,"about_ca_topic_score_gemma":6.105711e-7,"teacher_disagreement_score":0.20644553,"about_ca_system_score_codex":0.00015947408,"about_ca_system_score_gemma":0.000115914874,"threshold_uncertainty_score":0.3043171},"labels":[],"label_agreement":null},{"id":"W3155394515","doi":"10.35752/1991-2927-2021-1-63-4-12","title":"AUTOMATED SITUATION AWARENESS IN THE NAVY’S COMPUTER-AIDED CONTROL SYSTEMS","year":2021,"lang":"en","type":"article","venue":"Автоматизация процессов управления","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MaRS","funders":"","keywords":"Navy; Automation; Upgrade; Control (management); Operations research; Command and control; Computer science; Volume (thermodynamics); Computer-aided; Engineering management; Industrial engineering; Engineering; Systems engineering; Law; Mechanical engineering; Artificial intelligence; Political science","score_opus":0.021832500982785247,"score_gpt":0.28327551263532585,"score_spread":0.2614430116525406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155394515","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":[0.46970513,0.009149245,0.5033514,0.0005398074,0.0035675694,0.0016461757,0.000076737844,0.0029432469,0.009020693],"genre_scores_gemma":[0.99844944,0.000054691263,0.0005439101,0.00012358093,0.00048451906,0.00014692283,0.000047042868,0.00005679185,0.00009307322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973179,0.00037814205,0.00063841714,0.00037999355,0.00065513403,0.0006303783],"domain_scores_gemma":[0.9986629,0.0004019101,0.00008403355,0.00048678866,0.00024939227,0.00011498985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009130749,0.00029707234,0.00047052893,0.00014933653,0.00025455683,0.00034565415,0.00040155364,0.00017313761,0.000024339797],"category_scores_gemma":[0.000113555674,0.00023523033,0.00009543286,0.00081696047,0.00006614153,0.00037541988,0.00004606282,0.000451642,0.000080399004],"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":[0.000025908246,0.000115860516,0.0016480488,0.0008307283,0.00010579531,0.0006718006,0.0015555242,0.96471024,0.016717095,0.0017106823,0.0038747932,0.008033503],"study_design_scores_gemma":[0.0012350313,0.000036251655,0.0026468362,0.00035584488,0.000015060968,0.00015515908,0.0007812504,0.9878402,0.00096434617,0.00020482115,0.0054233936,0.00034182766],"about_ca_topic_score_codex":0.000093636205,"about_ca_topic_score_gemma":0.00006540206,"teacher_disagreement_score":0.52874434,"about_ca_system_score_codex":0.00018585609,"about_ca_system_score_gemma":0.00015576195,"threshold_uncertainty_score":0.95924145},"labels":[],"label_agreement":null},{"id":"W3210979668","doi":"10.7939/r3-m0d1-8960","title":"Coordination and Optimization of Power Distribution Systems with Stochastic Distributed Energy Resources using Artificial Intelligence","year":2021,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Power (physics); Distributed generation; Energy (signal processing); Artificial intelligence; Mathematical optimization; Engineering; Mathematics; Renewable energy; Electrical engineering; Statistics","score_opus":0.010128129363017475,"score_gpt":0.18778768364263912,"score_spread":0.17765955427962166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210979668","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":[0.11884962,0.00026245325,0.88055646,0.000021501783,0.000024554918,0.000035461657,0.000024612647,0.000018062014,0.00020727473],"genre_scores_gemma":[0.9981584,0.000015216338,0.0016238973,5.4626105e-7,0.000009143837,7.176803e-8,0.00012670417,0.0000074017785,0.000058623194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995865,0.000028691973,0.000106888314,0.00009361731,0.00010216041,0.00008212391],"domain_scores_gemma":[0.99968857,0.000079486905,0.000057076162,0.00006436736,0.00007003751,0.00004048563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000024749155,0.000059479975,0.00012004682,0.000042124364,0.00006486481,0.00002024022,0.000051386956,0.00004298262,0.000019027415],"category_scores_gemma":[0.000016755499,0.00006300912,0.0000143795,0.0002455492,0.00007656116,0.00043160393,0.000033879056,0.000043204665,9.436353e-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":[0.000034322493,0.000012118363,0.00007261758,0.000103307466,0.000022583894,0.0000054626103,0.00028043456,0.9943531,0.000638681,0.004224994,0.000014448287,0.00023789097],"study_design_scores_gemma":[0.00006569934,0.000031565516,0.000028529195,0.00022929077,0.000012654368,0.000008675136,0.0021842972,0.9945596,0.0025181528,0.00012927598,0.00015551808,0.00007675112],"about_ca_topic_score_codex":0.00014298153,"about_ca_topic_score_gemma":0.000009672321,"teacher_disagreement_score":0.87930876,"about_ca_system_score_codex":0.00001903468,"about_ca_system_score_gemma":0.000030467114,"threshold_uncertainty_score":0.25694373},"labels":[],"label_agreement":null},{"id":"W3214499305","doi":"10.1049/gtd2.12346","title":"Guest editorial: Selected papers from the 2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES2020)","year":2021,"lang":"en","type":"editorial","venue":"IET Generation Transmission & Distribution","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"The Internet; Power (physics); Computer science; Energy (signal processing); Electrical engineering; Telecommunications; Engineering; World Wide Web; Physics","score_opus":0.016376632002548002,"score_gpt":0.2593288244144193,"score_spread":0.2429521924118713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214499305","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000697607,0.0018296062,0.12173614,0.00026557787,0.8722568,0.00024420055,0.0026154444,0.00024005142,0.0007423828],"genre_scores_gemma":[0.050674535,0.0022356175,0.000048935908,0.000015146197,0.87489116,0.0000955289,0.070613086,0.00008367213,0.0013422997],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958633,0.00032631872,0.0008102149,0.0007078557,0.0018731977,0.00041908526],"domain_scores_gemma":[0.9975083,0.00033901402,0.00020559174,0.00039778196,0.0013258974,0.00022343306],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004065905,0.00054310437,0.00049135514,0.00004264762,0.00028806805,0.0008211824,0.00053047587,0.0010665056,0.0005212066],"category_scores_gemma":[0.0003846889,0.00042929512,0.00016582495,0.0003389933,0.00006800237,0.00024253882,0.000041263087,0.0012261688,0.000030061685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067244066,0.000036428206,0.0000012310637,0.00005955939,0.000162279,0.000009161702,0.000118626456,0.008835454,0.026553186,0.00008581238,0.96325976,0.0008112606],"study_design_scores_gemma":[0.0004909275,0.000053459455,0.0000023152193,0.00065883854,0.00003996341,0.0000019247977,0.000062258056,0.031186968,0.002548333,0.000019755471,0.96449786,0.00043740595],"about_ca_topic_score_codex":0.00036458002,"about_ca_topic_score_gemma":0.000098949204,"teacher_disagreement_score":0.1216872,"about_ca_system_score_codex":0.0005441505,"about_ca_system_score_gemma":0.00038247523,"threshold_uncertainty_score":0.9998159},"labels":[],"label_agreement":null},{"id":"W36601466","doi":"10.1089/aut.2019.0087","title":"Построение модели оценки потенциала инновационного проекта и ее оценки на основе гибридных экспертных систем","year":2013,"lang":"en","type":"article","venue":"Известия Алтайского государственного университета","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.007010514867669993,"score_gpt":0.2027842804569189,"score_spread":0.19577376558924892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W36601466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58615035,0.030009486,0.095117435,0.0035793022,0.011452569,0.008758738,0.00050689094,0.01193095,0.2524943],"genre_scores_gemma":[0.98034906,0.0008233894,0.005781047,0.00072960387,0.0022711938,0.0009302668,0.00015651702,0.0006933673,0.008265571],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98901004,0.00037587507,0.0024929235,0.0018405219,0.002429898,0.0038507658],"domain_scores_gemma":[0.9939035,0.0006388979,0.0004832785,0.0022367858,0.000922155,0.0018153484],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0014993293,0.0018574838,0.0019046457,0.001026147,0.0011456487,0.0012586124,0.0022403898,0.0010368101,0.0052839904],"category_scores_gemma":[0.00048982905,0.00176673,0.00076351146,0.002043974,0.0007030682,0.003430037,0.0006237856,0.002606514,0.0076535386],"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":[0.0003582223,0.0012573112,0.012727007,0.005716656,0.0022223685,0.0010613796,0.0056583174,0.056295756,0.28582248,0.0059703887,0.31082448,0.3120856],"study_design_scores_gemma":[0.010957099,0.0014002543,0.026069911,0.0036870893,0.00049012806,0.001437933,0.005087654,0.12891798,0.08359103,0.027670095,0.69765973,0.013031083],"about_ca_topic_score_codex":0.0005800628,"about_ca_topic_score_gemma":0.00009772214,"teacher_disagreement_score":0.39419872,"about_ca_system_score_codex":0.00078577065,"about_ca_system_score_gemma":0.00034504823,"threshold_uncertainty_score":0.99977815},"labels":[],"label_agreement":null},{"id":"W4200138457","doi":"10.1002/9781119794929.app4","title":"Appendix D: Linearizing Relay Operating Time Models","year":2021,"lang":"en","type":"other","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Citation; Relay; Computer science; Power (physics); Library science; Operations research; Information retrieval; Mathematics; Physics","score_opus":0.023674952683413193,"score_gpt":0.2649062771142201,"score_spread":0.24123132443080691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200138457","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000002160066,0.00767016,0.18321103,0.000006340948,0.00018109186,0.00013287958,0.000008069302,0.0006725209,0.8081157],"genre_scores_gemma":[0.00051498215,0.00023055162,0.03476043,0.000020060124,0.000723965,0.000019139694,0.00009901904,0.0008018826,0.96282995],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998824,0.00002629067,0.00024252868,0.0002751454,0.0002683217,0.00036369424],"domain_scores_gemma":[0.9995478,0.000030217174,0.00003410165,0.0002502738,0.000029608815,0.000108020104],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014096154,0.00026039183,0.0003672003,0.00013463908,0.0000643565,0.00012356433,0.00017452336,0.00027879296,0.011022869],"category_scores_gemma":[0.000018345125,0.00023035161,0.00006854193,0.00015065118,0.000019980182,0.00008673474,0.00007319345,0.0004566823,0.0006389504],"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":[6.3033553e-7,0.000009927888,9.857849e-7,0.0013473808,0.00016353623,0.000118404845,0.00010484444,0.33225018,0.009326006,0.0003058851,0.64692265,0.009449583],"study_design_scores_gemma":[0.00008515543,0.00000477217,1.4097473e-8,0.0010959639,0.000004236463,0.000012212629,0.00003784878,0.67426693,0.00036263483,0.000045996105,0.32379258,0.0002916272],"about_ca_topic_score_codex":0.00003916637,"about_ca_topic_score_gemma":0.0000075895928,"teacher_disagreement_score":0.34201676,"about_ca_system_score_codex":0.00005120204,"about_ca_system_score_gemma":0.00004023944,"threshold_uncertainty_score":0.9898812},"labels":[],"label_agreement":null},{"id":"W4200160118","doi":"10.1109/icjece.9349829","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2021,"lang":"en","type":"paratext","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.008486249699279929,"score_gpt":0.19994309527127388,"score_spread":0.19145684557199394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200160118","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":[0.022775603,0.11080389,0.858387,0.000085769374,0.00731748,0.00021391116,0.00003782781,0.000028495251,0.00035004565],"genre_scores_gemma":[0.9697836,0.0025787961,0.015925853,0.00012663614,0.010699717,0.0000054333286,0.000016022908,0.00029715523,0.0005667873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99712974,0.000047032754,0.0010598734,0.0002672123,0.0003599044,0.0011362471],"domain_scores_gemma":[0.9961947,0.00027589352,0.00021335545,0.00015253306,0.00047937923,0.0026841261],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00037904043,0.00053847063,0.0011639658,0.0016431898,0.00015356136,0.0004937954,0.00043546263,0.00045166104,0.000055753208],"category_scores_gemma":[0.00008552341,0.00051789026,0.00022767711,0.00071506435,0.000055262626,0.0002907996,0.000021810401,0.0023848119,0.0000059011786],"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":[0.0000112600865,0.000013049012,0.0001622874,0.0010614124,0.0008123833,0.003632818,0.00035599197,0.88857013,0.0008121666,0.00018998311,0.0596498,0.044728734],"study_design_scores_gemma":[0.0006847132,0.0004947757,0.0003519209,0.0017957083,0.00008595633,0.006781945,0.000006183754,0.80766916,0.00042825713,0.000019772851,0.18081096,0.0008706644],"about_ca_topic_score_codex":0.0010723236,"about_ca_topic_score_gemma":0.0008473319,"teacher_disagreement_score":0.947008,"about_ca_system_score_codex":0.0005672628,"about_ca_system_score_gemma":0.0021109793,"threshold_uncertainty_score":0.99991673},"labels":[],"label_agreement":null},{"id":"W4200622500","doi":"10.1002/9781119794929.app6","title":"Appendix F: List of ORC Test Systems","year":2021,"lang":"en","type":"other","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Citation; Test (biology); Computer science; Information retrieval; Library science; Operations research; Mathematics","score_opus":0.017292333810644246,"score_gpt":0.26301638694719126,"score_spread":0.24572405313654702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200622500","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000015613425,0.022402475,0.02255427,0.0000019010619,0.00050141686,0.00015985225,0.00004429307,0.00026469247,0.95406955],"genre_scores_gemma":[0.012673471,0.0003953397,0.0007314328,0.0000021004275,0.0005084115,0.000018527679,0.000055744284,0.0004503819,0.9851646],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911237,0.000014183972,0.00024329849,0.00015780657,0.0002575992,0.00021474478],"domain_scores_gemma":[0.9995221,0.0000619829,0.00005891947,0.00024402559,0.000039872677,0.000073123156],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008819044,0.00017776665,0.0003964023,0.0001306432,0.000015401403,0.00003635368,0.00015682394,0.00019111428,0.005093863],"category_scores_gemma":[0.00003835056,0.00014837482,0.000054699227,0.00015900018,0.000034062417,0.00002125649,0.00003311709,0.00019023936,0.00009028621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.341021e-7,0.000022167102,0.00007144657,0.012099792,0.00012625087,0.00005971433,0.000020115873,0.0030919428,0.0060703508,0.00066872156,0.97560775,0.0021610835],"study_design_scores_gemma":[0.00008761472,0.000010837891,5.9836185e-7,0.0023478942,0.0000053035474,0.000012724539,0.00009674397,0.0062015303,0.0005458749,0.000007113766,0.9904815,0.00020226264],"about_ca_topic_score_codex":0.00021466638,"about_ca_topic_score_gemma":0.000032595646,"teacher_disagreement_score":0.031095054,"about_ca_system_score_codex":0.000032052816,"about_ca_system_score_gemma":0.00003154143,"threshold_uncertainty_score":0.99581563},"labels":[],"label_agreement":null},{"id":"W4221023587","doi":"10.1109/icjece.2022.3149563","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.0069120998703183795,"score_gpt":0.18074494503847852,"score_spread":0.17383284516816014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221023587","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":[0.3372778,0.016160855,0.6442705,0.00010978673,0.0019500792,0.00013631315,0.000010987929,0.000033947974,0.000049736558],"genre_scores_gemma":[0.9943523,0.00006160627,0.004513724,0.000049026046,0.00096510665,0.0000021638439,7.3032277e-7,0.00004491945,0.0000104525425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825406,0.000034124972,0.0005792464,0.00013852227,0.00027762467,0.0007164],"domain_scores_gemma":[0.997958,0.0001636794,0.000095786614,0.00008268313,0.0001531416,0.0015467079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041886183,0.00022877027,0.00045269998,0.0010385184,0.00022354977,0.00017399274,0.00029980394,0.00008012401,0.000018228564],"category_scores_gemma":[0.000047236113,0.00022560733,0.000100906305,0.000576437,0.000030490484,0.00023333945,0.000019941068,0.0012070423,4.1983023e-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":[0.000008587551,0.0000074461545,0.0010738731,0.000105589,0.00015819939,0.0012317357,0.00034689892,0.96281576,0.0009733858,0.0005066896,0.0020324402,0.030739373],"study_design_scores_gemma":[0.0004730009,0.00049443915,0.0016216701,0.00010761339,0.00002232061,0.004523039,0.000009176161,0.9662893,0.00020012399,0.000058888672,0.025891501,0.0003089706],"about_ca_topic_score_codex":0.0007145572,"about_ca_topic_score_gemma":0.00034935042,"teacher_disagreement_score":0.65707445,"about_ca_system_score_codex":0.00041826113,"about_ca_system_score_gemma":0.0006657888,"threshold_uncertainty_score":0.92},"labels":[],"label_agreement":null},{"id":"W4224879676","doi":"10.1109/msmc.2022.3150525","title":"Five Members Elected to the SMCS Board of Governors [Society News]","year":2022,"lang":"en","type":"article","venue":"IEEE Systems Man and Cybernetics Magazine","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nipissing University","funders":"","keywords":"Library science; Information retrieval; Computer science","score_opus":0.009519331418086587,"score_gpt":0.22538749825378987,"score_spread":0.21586816683570328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224879676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93080664,0.0078470465,0.015794856,0.0005142544,0.0027455555,0.0021439523,0.00032986992,0.00041329776,0.039404556],"genre_scores_gemma":[0.98855484,0.00015127618,0.00015004945,0.000069389454,0.0001765109,0.00006677792,0.000006304492,0.000045415432,0.010779421],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984937,0.000081592385,0.00035666855,0.00021172113,0.000519073,0.00033729163],"domain_scores_gemma":[0.99937254,0.0000800732,0.000079592384,0.0002629705,0.00007182422,0.000132975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028709596,0.0001752883,0.0002858447,0.000046072004,0.0002100717,0.000053166004,0.0002594147,0.000044524706,0.000026312871],"category_scores_gemma":[0.00001424013,0.00014014542,0.00007398715,0.0003815322,0.00005678681,0.000046547404,0.00007920528,0.0003065083,0.00001203706],"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":[0.000030486452,0.000032690095,0.0004853692,0.0006915705,0.00018908877,0.000016567852,0.0039361953,0.77176934,0.023105247,0.00037653232,0.1959004,0.003466496],"study_design_scores_gemma":[0.0008178228,0.00035930358,0.0008983133,0.00016153693,0.000043593493,0.00007099373,0.004190289,0.20745666,0.0016728333,0.00007986473,0.7836944,0.0005544142],"about_ca_topic_score_codex":0.0004377189,"about_ca_topic_score_gemma":0.000085815205,"teacher_disagreement_score":0.587794,"about_ca_system_score_codex":0.00010928736,"about_ca_system_score_gemma":0.00002855635,"threshold_uncertainty_score":0.5714964},"labels":[],"label_agreement":null},{"id":"W4225123112","doi":"10.11159/icsect22.112","title":"Identification of Price Leading Indicators for Construction Resources","year":2022,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Advanced Research in Systems and Signal Processing","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":"Identification (biology); Computer science; Economic indicator; Economics; Macroeconomics","score_opus":0.005453623898426183,"score_gpt":0.20499606170511953,"score_spread":0.19954243780669334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225123112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99802023,0.0004058154,0.0003388161,0.000020628224,0.00048679695,0.00033316817,0.00005779096,0.00004884061,0.00028788886],"genre_scores_gemma":[0.99926263,0.000025395631,0.00038339797,0.0000034060986,0.000034585646,0.00006066629,0.0000024782253,0.000029118955,0.00019829477],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990435,0.0000036044435,0.00031684994,0.00016806103,0.0002827338,0.00018524642],"domain_scores_gemma":[0.9996479,0.00005412107,0.00017373855,0.0000708676,0.00000925379,0.00004408566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015364669,0.00013947717,0.00018698307,0.00021162083,0.00022381986,0.00002633881,0.00021517088,0.00002449621,0.00001422094],"category_scores_gemma":[0.000022278064,0.00012141039,0.000050115068,0.00023317586,0.000110726345,0.00016729413,0.00010109002,0.00019417348,1.00350576e-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":[0.00003578013,0.000008083863,0.001841902,0.0008745881,0.000062190054,1.5628048e-7,0.00037449473,0.14851561,0.841362,0.0024924634,0.000098816236,0.004333906],"study_design_scores_gemma":[0.0007810857,0.00013796045,0.004875655,0.00030581196,0.000050274077,0.00004051702,0.0022805112,0.15002476,0.83340853,0.0010247945,0.0065745213,0.0004955821],"about_ca_topic_score_codex":8.089246e-7,"about_ca_topic_score_gemma":2.6301447e-7,"teacher_disagreement_score":0.007953467,"about_ca_system_score_codex":0.00009709186,"about_ca_system_score_gemma":0.0000025928034,"threshold_uncertainty_score":0.4950972},"labels":[],"label_agreement":null},{"id":"W4235618605","doi":"10.23952/asvao","title":"Applied Set-Valued Analysis and Optimization","year":2019,"lang":"en","type":"paratext","venue":"Applied Set-Valued Analysis and Optimization","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":8,"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":"Set (abstract data type); Computer science; Mathematics; Programming language","score_opus":0.013873181112628212,"score_gpt":0.26412174607306826,"score_spread":0.25024856496044007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235618605","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":[0.0003415374,0.0025195845,0.9719483,0.00001536614,0.00025556365,0.0009594611,0.00024771554,0.00021575381,0.02349672],"genre_scores_gemma":[0.6744407,0.016359035,0.2556254,0.00025377996,0.001180858,0.00069773715,0.032386146,0.0007629262,0.018293437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99533874,0.00013879908,0.0013018359,0.0014397356,0.0009530154,0.0008278862],"domain_scores_gemma":[0.9977648,0.00015043387,0.00058991706,0.000819074,0.00029757374,0.00037816213],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007903582,0.0010152755,0.0023024036,0.0025516306,0.00052556396,0.00072144525,0.0003695799,0.00093265413,0.0011155813],"category_scores_gemma":[0.00002961295,0.0009795005,0.000418883,0.00559961,0.00016659596,0.00032968153,0.00017948703,0.0007551853,0.000117357304],"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":[0.000049266564,0.000022825885,0.00003586955,0.0005754899,0.0067909095,0.0000018450409,0.00030893116,0.9884496,0.00024448335,0.000167167,0.0014055567,0.0019480882],"study_design_scores_gemma":[0.00079582277,0.000026951715,0.00002914881,0.00006334985,0.006482628,0.0000016648747,0.0003337783,0.9898261,0.0002209637,0.00002909411,0.0011276193,0.0010629107],"about_ca_topic_score_codex":0.0000775506,"about_ca_topic_score_gemma":0.000020829737,"teacher_disagreement_score":0.7163229,"about_ca_system_score_codex":0.00021763484,"about_ca_system_score_gemma":0.0000893714,"threshold_uncertainty_score":0.9997975},"labels":[],"label_agreement":null},{"id":"W4236408398","doi":"10.4018/9781591409411.ch002","title":"Intelligent Analysis of Software Maintenance Data","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Software; Software engineering; Operating system","score_opus":0.061511545313898006,"score_gpt":0.28923997002769664,"score_spread":0.22772842471379862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236408398","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00000983905,0.0026464518,0.20630252,0.000001076748,0.0002066,0.00015730232,0.0010280478,0.00015548497,0.78949267],"genre_scores_gemma":[0.82358295,0.000494666,0.012596129,0.000084743886,0.00046983242,0.000029699084,0.00027820014,0.00033902534,0.16212477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982712,0.000008714205,0.0005554932,0.00042250386,0.00039952277,0.0003425324],"domain_scores_gemma":[0.9983429,0.00003711239,0.0001598236,0.0011474676,0.00016340268,0.00014932572],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001822831,0.00033899856,0.00075112056,0.0001750164,0.000040338644,0.000027822567,0.00090199674,0.0002645219,0.000105558735],"category_scores_gemma":[0.00004069516,0.0003066052,0.0002178464,0.00007063159,0.000120355915,0.00007107982,0.00032648616,0.00031376586,0.000041754683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048041442,0.000012699812,0.000072303585,0.0011362924,0.006363155,0.00016862487,0.00013214423,0.007502469,0.00006739807,0.83353657,0.004893816,0.14606647],"study_design_scores_gemma":[0.00049480936,0.00017504166,0.00007047855,0.003787528,0.0037993805,0.00005170403,0.00006589432,0.024921633,0.0006257337,0.58556557,0.3777674,0.0026748371],"about_ca_topic_score_codex":0.00005321709,"about_ca_topic_score_gemma":0.00007806307,"teacher_disagreement_score":0.8235731,"about_ca_system_score_codex":0.00016396452,"about_ca_system_score_gemma":0.00007147935,"threshold_uncertainty_score":0.9999386},"labels":[],"label_agreement":null},{"id":"W4240673028","doi":"10.1109/icjece.2021.3136051","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Computer science; Engineering; Electrical engineering","score_opus":0.007287173896131967,"score_gpt":0.18625604124807008,"score_spread":0.17896886735193812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240673028","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":[0.23025182,0.020135084,0.74800175,0.00009897007,0.0013590559,0.00007050966,0.000004913258,0.000023813604,0.00005408321],"genre_scores_gemma":[0.98836607,0.00017100906,0.010064728,0.000048679864,0.0012915788,7.7126435e-7,7.505942e-7,0.000043229185,0.00001321052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831045,0.000026379312,0.0005904769,0.00014688312,0.00021577874,0.00071002834],"domain_scores_gemma":[0.9975456,0.00017945717,0.000079861646,0.0000902406,0.00032273788,0.0017820911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027978446,0.00023738912,0.00049366313,0.00070612173,0.00011095508,0.0002515609,0.00020484248,0.0001378532,0.000010617536],"category_scores_gemma":[0.00009271306,0.00022696584,0.00010700921,0.00055251596,0.000032515407,0.0002748367,0.000011548864,0.000910083,7.354256e-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":[0.000011643684,0.000016834738,0.0029195233,0.00041272753,0.0004726865,0.0062150545,0.00058814086,0.8846038,0.005734118,0.0013764736,0.0033032203,0.0943458],"study_design_scores_gemma":[0.0005514557,0.00027210583,0.0029503098,0.00037701087,0.000032264707,0.006570034,0.0000070005103,0.9697455,0.0015013524,0.00007619943,0.017544398,0.00037237108],"about_ca_topic_score_codex":0.00041119097,"about_ca_topic_score_gemma":0.00072958216,"teacher_disagreement_score":0.7581142,"about_ca_system_score_codex":0.000252341,"about_ca_system_score_gemma":0.00091370684,"threshold_uncertainty_score":0.92553985},"labels":[],"label_agreement":null},{"id":"W4246988555","doi":"10.1109/cjece.2003.1426065","title":"IEEE Canada Regional Committee Members - 2002","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Political science; Geography","score_opus":0.009281325640642917,"score_gpt":0.18034292111762942,"score_spread":0.17106159547698652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246988555","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":[0.2540823,0.024900537,0.7146284,0.00023786497,0.0030235716,0.00018486485,0.00000736149,0.00007249878,0.002862628],"genre_scores_gemma":[0.9973292,0.000039622504,0.0022575154,0.00006167738,0.00024411402,5.824222e-7,2.1133067e-7,0.000019175206,0.000047928806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915844,0.000014317893,0.0002320572,0.00007092408,0.00015581692,0.000368427],"domain_scores_gemma":[0.9991101,0.00008884199,0.000026523081,0.00005348802,0.00007115483,0.00064989104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114942006,0.000117316784,0.00018550146,0.00015059345,0.00006910647,0.00004907415,0.00010926624,0.0000434364,0.000021061573],"category_scores_gemma":[0.00002813148,0.000108530934,0.000034438035,0.00021191793,0.000015265769,0.0001010379,0.000002082647,0.0003531311,5.05551e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030871572,0.000005724767,0.00048192465,0.00011935173,0.00013159456,0.00068031583,0.00010922921,0.92657346,0.0006158335,0.0019767452,0.05657457,0.012728169],"study_design_scores_gemma":[0.0004632039,0.00012349796,0.00053263083,0.00016490972,0.000012830182,0.0016177124,0.000017165325,0.60580504,0.00076460344,0.0001343615,0.38994604,0.00041797274],"about_ca_topic_score_codex":0.0121205505,"about_ca_topic_score_gemma":0.035649665,"teacher_disagreement_score":0.74324685,"about_ca_system_score_codex":0.00020463308,"about_ca_system_score_gemma":0.0004948998,"threshold_uncertainty_score":0.99445784},"labels":[],"label_agreement":null},{"id":"W4250529056","doi":"10.1109/grc.2007.4403119","title":"A Method of Finding Representative Sets of Rules","year":2007,"lang":"en","type":"article","venue":"2007 IEEE International Conference on Granular Computing (GRC 2007)","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","score_opus":0.07854105163591575,"score_gpt":0.39808138712667285,"score_spread":0.3195403354907571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250529056","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":[0.10231741,0.00010895267,0.85638005,0.000018893701,0.0009916465,0.00015236944,0.000032586137,0.00006407345,0.039934017],"genre_scores_gemma":[0.94396216,0.000024912912,0.055585254,0.000016719783,0.00022471219,0.0000017952639,0.000011691977,0.00002654463,0.00014619651],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979586,0.000070783215,0.0006711557,0.00025776218,0.0007031119,0.0003385973],"domain_scores_gemma":[0.9985462,0.00044447355,0.0002390741,0.00018010558,0.0004948131,0.000095366864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014200876,0.00019335654,0.00033617485,0.0003410611,0.000065543136,0.00003114502,0.00039056828,0.00009502064,0.00016002113],"category_scores_gemma":[0.00012483181,0.0001891024,0.00011188903,0.00018866907,0.000104253784,0.00013047963,0.00004649746,0.00032366256,0.000021796512],"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":[0.00052200013,0.00037513048,0.0071694427,0.0010942877,0.0007990778,0.0002777692,0.004510708,0.30122167,0.4039852,0.055998016,0.004185182,0.2198615],"study_design_scores_gemma":[0.0011819947,0.00017770781,0.0024110295,0.0016825274,0.000020698724,0.00006127361,0.0011208579,0.7543519,0.23038746,0.0067860577,0.0012911513,0.00052734435],"about_ca_topic_score_codex":0.000041463216,"about_ca_topic_score_gemma":0.000002449368,"teacher_disagreement_score":0.84164476,"about_ca_system_score_codex":0.00008887542,"about_ca_system_score_gemma":0.000040959843,"threshold_uncertainty_score":0.7711372},"labels":[],"label_agreement":null},{"id":"W4252280125","doi":"10.1090/fic/045/03","title":"On discrete and inductive algebras","year":2005,"lang":"en","type":"other","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Computer science; Algebra over a field; Pure mathematics","score_opus":0.009828552531834745,"score_gpt":0.2602251133075298,"score_spread":0.25039656077569505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252280125","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000027036023,0.0017507909,0.0128284935,0.0000115124785,0.00010216388,0.00011050257,0.00000745799,0.00031876419,0.98484325],"genre_scores_gemma":[0.018501185,0.00026359165,0.0017389285,0.000024604242,0.0005840538,0.000014035653,0.000003739743,0.00041422833,0.97845566],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995109,0.000007037642,0.000071141716,0.00013626204,0.00012001029,0.0001546395],"domain_scores_gemma":[0.9998018,0.000019433151,0.000014697567,0.000094390416,0.0000050703775,0.00006460557],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000030704166,0.00014300819,0.00015226795,0.00010410476,0.000018733832,0.000024010425,0.000053132626,0.00013142059,0.0011671255],"category_scores_gemma":[0.000007920035,0.00010641832,0.000016118705,0.00004310379,0.000032588134,0.00003484524,0.000015890144,0.00021400444,0.00004041348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005681265,0.00000919374,0.0000056290005,0.00058578723,0.0001728761,0.00002231411,0.00011290166,0.001033488,0.00039238812,0.013414551,0.7923827,0.19186251],"study_design_scores_gemma":[0.00016018169,0.000028798315,0.000004658187,0.00048533635,0.0000045047786,0.000004008989,0.000044958448,0.0014891631,0.00017185938,0.0007497711,0.99653864,0.00031814218],"about_ca_topic_score_codex":0.000015978701,"about_ca_topic_score_gemma":0.000014991544,"teacher_disagreement_score":0.20415594,"about_ca_system_score_codex":0.000022090366,"about_ca_system_score_gemma":0.0000041966246,"threshold_uncertainty_score":0.99974597},"labels":[],"label_agreement":null},{"id":"W4252297965","doi":"10.2139/ssrn.3901432","title":"A Reinforcement Learning Model of Procedural Rationality","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Rationality; Reinforcement learning; Reinforcement; Psychology; Computer science; Mathematical economics; Artificial intelligence; Cognitive psychology; Economics; Social psychology; Epistemology; Philosophy","score_opus":0.016352246930117022,"score_gpt":0.26355549479817425,"score_spread":0.24720324786805722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252297965","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":[0.069637984,0.0029588763,0.9236791,0.000086211796,0.00005040809,0.00005161656,4.3848235e-7,0.000038889524,0.0034964648],"genre_scores_gemma":[0.9965372,0.0009811473,0.00052391284,0.000009008159,0.00008466936,0.00000367689,0.0000028488957,0.000014544028,0.0018429937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849755,0.000027065442,0.0002664375,0.00007519116,0.00028499682,0.0008487554],"domain_scores_gemma":[0.9996276,0.000017804554,0.000056394154,0.00005707184,0.00019082874,0.000050289877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068136543,0.0000771478,0.00012610553,0.000038862883,0.000115806484,0.000025238465,0.00008041586,0.000033694923,0.000015910467],"category_scores_gemma":[0.000084317435,0.000070157526,0.00005832913,0.00012084212,0.00001770106,0.00019645736,0.000017040895,0.0010805496,0.0000022423787],"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":[0.000007352812,0.000006127052,0.000066193476,0.00006221598,0.00005349148,0.0000015078579,0.00009549264,0.9450071,0.029470496,0.021679718,0.000015189524,0.0035351135],"study_design_scores_gemma":[0.00035611287,0.000057697198,0.000008476692,0.00007049547,0.000007754431,0.00019661018,0.0009530676,0.89790744,0.010558865,0.08948791,0.00027214226,0.00012339944],"about_ca_topic_score_codex":0.0000016207725,"about_ca_topic_score_gemma":0.000012204546,"teacher_disagreement_score":0.9268992,"about_ca_system_score_codex":0.00038171146,"about_ca_system_score_gemma":0.001381379,"threshold_uncertainty_score":0.469451},"labels":[],"label_agreement":null},{"id":"W4254918841","doi":"10.1109/icjece.2021.3090602","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.007287173896131967,"score_gpt":0.18625604124807008,"score_spread":0.17896886735193812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254918841","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":[0.23025182,0.020135084,0.74800175,0.00009897007,0.0013590559,0.00007050966,0.000004913258,0.000023813604,0.00005408321],"genre_scores_gemma":[0.98836607,0.00017100906,0.010064728,0.000048679864,0.0012915788,7.7126435e-7,7.505942e-7,0.000043229185,0.00001321052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831045,0.000026379312,0.0005904769,0.00014688312,0.00021577874,0.00071002834],"domain_scores_gemma":[0.9975456,0.00017945717,0.000079861646,0.0000902406,0.00032273788,0.0017820911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027978446,0.00023738912,0.00049366313,0.00070612173,0.00011095508,0.0002515609,0.00020484248,0.0001378532,0.000010617536],"category_scores_gemma":[0.00009271306,0.00022696584,0.00010700921,0.00055251596,0.000032515407,0.0002748367,0.000011548864,0.000910083,7.354256e-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":[0.000011643684,0.000016834738,0.0029195233,0.00041272753,0.0004726865,0.0062150545,0.00058814086,0.8846038,0.005734118,0.0013764736,0.0033032203,0.0943458],"study_design_scores_gemma":[0.0005514557,0.00027210583,0.0029503098,0.00037701087,0.000032264707,0.006570034,0.0000070005103,0.9697455,0.0015013524,0.00007619943,0.017544398,0.00037237108],"about_ca_topic_score_codex":0.00041119097,"about_ca_topic_score_gemma":0.00072958216,"teacher_disagreement_score":0.7581142,"about_ca_system_score_codex":0.000252341,"about_ca_system_score_gemma":0.00091370684,"threshold_uncertainty_score":0.92553985},"labels":[],"label_agreement":null},{"id":"W4255450790","doi":"10.1109/isit.1995.531329","title":"Trellis complexity versus the coding gain of lattices","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coding gain; Coding (social sciences); Exponential growth; Computer science; Space–time trellis code; Mathematics; Theoretical computer science; Discrete mathematics; Algorithm; Decoding methods; Block code; Statistics; Concatenated error correction code; Mathematical analysis","score_opus":0.1527961045015783,"score_gpt":0.3062212227446494,"score_spread":0.15342511824307112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255450790","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":[0.06936958,0.004171246,0.13476619,0.00039929026,0.00061090227,0.00028644176,0.000010943617,0.0003870778,0.7899983],"genre_scores_gemma":[0.9985106,0.000078671954,0.0008242762,0.000006050784,0.00005167837,0.0000027153346,3.4561631e-7,0.000008599176,0.0005170542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995197,0.00001675628,0.00012514852,0.00005565392,0.00014038543,0.00014234515],"domain_scores_gemma":[0.999642,0.00018253524,0.000017071943,0.000104268875,0.000023702429,0.000030411284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001268884,0.000055544482,0.00008928197,0.000021389049,0.00007087884,0.000019324254,0.000117942174,0.000020473739,0.00037135347],"category_scores_gemma":[0.000028397151,0.000034452234,0.00002766771,0.00011141379,0.00007288899,0.00008593114,0.000015803864,0.00009356131,0.000022816032],"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":[0.00014385146,0.00018599472,0.0009978204,0.0028005482,0.0005905263,0.000042057887,0.008566636,0.44955045,0.08178916,0.14243832,0.036963042,0.2759316],"study_design_scores_gemma":[0.000450253,0.00003871932,0.000060386392,0.000055608794,0.000006157478,0.0000020979905,0.0006928379,0.97690505,0.010284565,0.00070707046,0.010672983,0.00012427589],"about_ca_topic_score_codex":0.000014772291,"about_ca_topic_score_gemma":0.000008631223,"teacher_disagreement_score":0.92914104,"about_ca_system_score_codex":0.000014852492,"about_ca_system_score_gemma":0.0000014529154,"threshold_uncertainty_score":0.40660602},"labels":[],"label_agreement":null},{"id":"W4256316349","doi":"10.1109/icjece.2021.3099707","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Computer science; Engineering","score_opus":0.007287173896131967,"score_gpt":0.18625604124807008,"score_spread":0.17896886735193812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256316349","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":[0.23025182,0.020135084,0.74800175,0.00009897007,0.0013590559,0.00007050966,0.000004913258,0.000023813604,0.00005408321],"genre_scores_gemma":[0.98836607,0.00017100906,0.010064728,0.000048679864,0.0012915788,7.7126435e-7,7.505942e-7,0.000043229185,0.00001321052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831045,0.000026379312,0.0005904769,0.00014688312,0.00021577874,0.00071002834],"domain_scores_gemma":[0.9975456,0.00017945717,0.000079861646,0.0000902406,0.00032273788,0.0017820911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027978446,0.00023738912,0.00049366313,0.00070612173,0.00011095508,0.0002515609,0.00020484248,0.0001378532,0.000010617536],"category_scores_gemma":[0.00009271306,0.00022696584,0.00010700921,0.00055251596,0.000032515407,0.0002748367,0.000011548864,0.000910083,7.354256e-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":[0.000011643684,0.000016834738,0.0029195233,0.00041272753,0.0004726865,0.0062150545,0.00058814086,0.8846038,0.005734118,0.0013764736,0.0033032203,0.0943458],"study_design_scores_gemma":[0.0005514557,0.00027210583,0.0029503098,0.00037701087,0.000032264707,0.006570034,0.0000070005103,0.9697455,0.0015013524,0.00007619943,0.017544398,0.00037237108],"about_ca_topic_score_codex":0.00041119097,"about_ca_topic_score_gemma":0.00072958216,"teacher_disagreement_score":0.7581142,"about_ca_system_score_codex":0.000252341,"about_ca_system_score_gemma":0.00091370684,"threshold_uncertainty_score":0.92553985},"labels":[],"label_agreement":null},{"id":"W4285111298","doi":"10.2316/j.2022.203-0393","title":"ROBUST STATE ESTIMATION METHOD OF DISTRIBUTION NETWORK FOR STOCHASTIC VARIABLES WITH DYNAMIC INTERVAL VALUES","year":2022,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Advanced Research in Systems and Signal Processing","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":"Interval (graph theory); Estimation; Interval estimation; State (computer science); State variable; Statistics; Distribution (mathematics); Mathematics; Computer science; Econometrics; Algorithm; Engineering; Confidence interval; Physics; Combinatorics; Mathematical analysis","score_opus":0.011484473994128379,"score_gpt":0.2705961966465433,"score_spread":0.2591117226524149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285111298","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":[0.0048925844,0.0011586945,0.99253625,0.000019921234,0.0011816726,0.000044508597,0.00009960075,0.0000116215715,0.000055131528],"genre_scores_gemma":[0.99114543,0.000018222672,0.008579594,0.00000358606,0.00009476359,0.000017709974,0.000031391763,0.000015757409,0.000093536146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892074,0.000066714565,0.00041555142,0.000074607124,0.00039853944,0.00012386778],"domain_scores_gemma":[0.99916923,0.00016401781,0.00024019573,0.000042836735,0.00033667346,0.000047031983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066953327,0.00008627729,0.00020688314,0.00008719932,0.00007309532,0.000049390594,0.00015129245,0.00001900256,0.0000057767706],"category_scores_gemma":[0.000031182783,0.00006935416,0.000046386558,0.00007971782,0.00002205151,0.0001918643,0.000030711846,0.00010715733,3.795182e-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":[0.00015176335,0.000013824595,0.000017726637,0.00005555316,0.00021685865,0.0000068647746,0.0001661593,0.9935872,0.00036131035,0.0010232216,0.00022550629,0.0041740024],"study_design_scores_gemma":[0.0004607063,0.00025482863,0.000037569655,0.00027239698,0.000016673317,0.00037186348,0.00033939857,0.99528337,0.000049612016,0.0013833555,0.0014499079,0.000080338155],"about_ca_topic_score_codex":0.000031551954,"about_ca_topic_score_gemma":0.0000019836023,"teacher_disagreement_score":0.98625284,"about_ca_system_score_codex":0.00014766457,"about_ca_system_score_gemma":0.000038298596,"threshold_uncertainty_score":0.28281805},"labels":[],"label_agreement":null},{"id":"W4285193913","doi":"10.1109/icjece.2022.3168112","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Computer science; Engineering","score_opus":0.0069120998703183795,"score_gpt":0.18074494503847852,"score_spread":0.17383284516816014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285193913","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":[0.3372778,0.016160855,0.6442705,0.00010978673,0.0019500792,0.00013631315,0.000010987929,0.000033947974,0.000049736558],"genre_scores_gemma":[0.9943523,0.00006160627,0.004513724,0.000049026046,0.00096510665,0.0000021638439,7.3032277e-7,0.00004491945,0.0000104525425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825406,0.000034124972,0.0005792464,0.00013852227,0.00027762467,0.0007164],"domain_scores_gemma":[0.997958,0.0001636794,0.000095786614,0.00008268313,0.0001531416,0.0015467079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041886183,0.00022877027,0.00045269998,0.0010385184,0.00022354977,0.00017399274,0.00029980394,0.00008012401,0.000018228564],"category_scores_gemma":[0.000047236113,0.00022560733,0.000100906305,0.000576437,0.000030490484,0.00023333945,0.000019941068,0.0012070423,4.1983023e-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":[0.000008587551,0.0000074461545,0.0010738731,0.000105589,0.00015819939,0.0012317357,0.00034689892,0.96281576,0.0009733858,0.0005066896,0.0020324402,0.030739373],"study_design_scores_gemma":[0.0004730009,0.00049443915,0.0016216701,0.00010761339,0.00002232061,0.004523039,0.000009176161,0.9662893,0.00020012399,0.000058888672,0.025891501,0.0003089706],"about_ca_topic_score_codex":0.0007145572,"about_ca_topic_score_gemma":0.00034935042,"teacher_disagreement_score":0.65707445,"about_ca_system_score_codex":0.00041826113,"about_ca_system_score_gemma":0.0006657888,"threshold_uncertainty_score":0.92},"labels":[],"label_agreement":null},{"id":"W4304814797","doi":"10.1109/acit54803.2022.9913201","title":"Collaborative Human-AI Decision-Making Systems with Numerical Channels","year":2022,"lang":"en","type":"article","venue":"2022 12th International Conference on Advanced Computer Information Technologies (ACIT)","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Solana Networks (Canada)","funders":"","keywords":"Computer science; Reliability (semiconductor); Software; Mode (computer interface); Work (physics); Artificial intelligence; Channel (broadcasting); Operations research; Machine learning; Human–computer interaction; Engineering","score_opus":0.013803702300158371,"score_gpt":0.28979255480391186,"score_spread":0.2759888525037535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304814797","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":[0.0055682645,0.00013281268,0.9804873,0.00035191557,0.0018337938,0.00063033064,0.00014126697,0.0017205091,0.009133849],"genre_scores_gemma":[0.990951,0.000042848562,0.008035267,0.00014214203,0.000063828506,0.00058896624,0.00008181042,0.000024890986,0.00006926573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976825,0.000034873658,0.0005909241,0.00027198353,0.0010496702,0.00037002697],"domain_scores_gemma":[0.99874306,0.00011747674,0.00023933651,0.00031718114,0.0005326639,0.000050281884],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021592766,0.000290152,0.00030637925,0.0006192269,0.00051529304,0.00042007392,0.0009404494,0.00008481428,0.00022915594],"category_scores_gemma":[0.000060992712,0.00025952817,0.000047805417,0.0007629523,0.00009147753,0.0015782333,0.0004019064,0.00082337466,0.0000387706],"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":[0.000089711124,0.000021408805,0.000017102602,0.000041689105,0.00006124219,0.000016546292,0.00026547178,0.812062,0.00017047221,0.04392399,0.0011035072,0.14222686],"study_design_scores_gemma":[0.0007181394,0.00050562725,0.0000149754815,0.00031926663,0.0000035532335,0.000057903395,0.0049008606,0.94068694,0.0006010738,0.0055661546,0.0461771,0.00044841866],"about_ca_topic_score_codex":0.0000019134673,"about_ca_topic_score_gemma":4.7337267e-7,"teacher_disagreement_score":0.98538274,"about_ca_system_score_codex":0.00054879044,"about_ca_system_score_gemma":0.0000788837,"threshold_uncertainty_score":0.9999857},"labels":[],"label_agreement":null},{"id":"W4315816003","doi":"10.1109/icjece.2022.3233731","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Engineering physics; Computer science; Engineering; Electrical engineering","score_opus":0.0069120998703183795,"score_gpt":0.18074494503847852,"score_spread":0.17383284516816014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315816003","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":[0.3372778,0.016160855,0.6442705,0.00010978673,0.0019500792,0.00013631315,0.000010987929,0.000033947974,0.000049736558],"genre_scores_gemma":[0.9943523,0.00006160627,0.004513724,0.000049026046,0.00096510665,0.0000021638439,7.3032277e-7,0.00004491945,0.0000104525425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825406,0.000034124972,0.0005792464,0.00013852227,0.00027762467,0.0007164],"domain_scores_gemma":[0.997958,0.0001636794,0.000095786614,0.00008268313,0.0001531416,0.0015467079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041886183,0.00022877027,0.00045269998,0.0010385184,0.00022354977,0.00017399274,0.00029980394,0.00008012401,0.000018228564],"category_scores_gemma":[0.000047236113,0.00022560733,0.000100906305,0.000576437,0.000030490484,0.00023333945,0.000019941068,0.0012070423,4.1983023e-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":[0.000008587551,0.0000074461545,0.0010738731,0.000105589,0.00015819939,0.0012317357,0.00034689892,0.96281576,0.0009733858,0.0005066896,0.0020324402,0.030739373],"study_design_scores_gemma":[0.0004730009,0.00049443915,0.0016216701,0.00010761339,0.00002232061,0.004523039,0.000009176161,0.9662893,0.00020012399,0.000058888672,0.025891501,0.0003089706],"about_ca_topic_score_codex":0.0007145572,"about_ca_topic_score_gemma":0.00034935042,"teacher_disagreement_score":0.65707445,"about_ca_system_score_codex":0.00041826113,"about_ca_system_score_gemma":0.0006657888,"threshold_uncertainty_score":0.92},"labels":[],"label_agreement":null},{"id":"W4319786904","doi":"10.3390/jrfm16020105","title":"Agent-Based Modeling of Construction Firms’ Organizational Behavior in Public Tenders","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Advanced Research in Systems and Signal Processing","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":"Call for bids; Executor; Profit (economics); Business; Transaction cost; Microeconomics; Industrial organization; Work (physics); Marketing; Economics; Finance; Procurement","score_opus":0.021012002879470866,"score_gpt":0.24182315576182206,"score_spread":0.2208111528823512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319786904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55314374,0.00025580396,0.44607562,0.000021786398,0.00023062357,0.00008921963,0.000004639325,0.00001743738,0.00016109779],"genre_scores_gemma":[0.99663246,0.0006565909,0.0026410916,0.0000033848592,0.000048631264,0.0000029804266,0.000001694976,0.00000854119,0.000004601627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993045,0.000014584753,0.0003046684,0.000053944364,0.00020347585,0.00011883547],"domain_scores_gemma":[0.9997496,0.00001804957,0.000076566335,0.00003606622,0.00008133018,0.00003838815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003034784,0.000056281133,0.00012552962,0.00037920877,0.000046405912,0.000020366673,0.00005754764,0.00003048999,0.00000532222],"category_scores_gemma":[0.000051294894,0.000050962077,0.000028685074,0.00043598446,0.00002293341,0.00013774302,0.000017923701,0.00012541817,7.627613e-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":[0.000026957232,0.000036747933,0.040205203,0.0003195498,0.000015650687,0.00009428111,0.00019417772,0.7989082,0.00027452316,0.0014009152,0.00009717424,0.15842666],"study_design_scores_gemma":[0.0024597035,0.00014514624,0.073136985,0.00046483453,0.00006342407,0.000029032362,0.0021635361,0.91141355,0.00024891554,0.0067674387,0.0028068728,0.00030055988],"about_ca_topic_score_codex":0.0000031528766,"about_ca_topic_score_gemma":0.00000323212,"teacher_disagreement_score":0.44348872,"about_ca_system_score_codex":0.000039184477,"about_ca_system_score_gemma":0.000023242774,"threshold_uncertainty_score":0.20781732},"labels":[],"label_agreement":null},{"id":"W4360584671","doi":"10.1109/icjece.2023.3251644","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Computer science; Engineering","score_opus":0.009210202954477076,"score_gpt":0.19507397903045018,"score_spread":0.1858637760759731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360584671","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":[0.41791892,0.008460622,0.5714767,0.000120027325,0.0017793055,0.00012406596,0.0000068565655,0.00006749696,0.000046027322],"genre_scores_gemma":[0.9947672,0.00016001008,0.0036817652,0.00003005881,0.0012958375,0.0000011927025,8.3484366e-7,0.000049285234,0.00001379983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821806,0.000020934753,0.0005803995,0.00013795264,0.00022801012,0.00081461965],"domain_scores_gemma":[0.9976873,0.0002091641,0.00007930271,0.00008266053,0.00019496965,0.0017466479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039843807,0.00023991788,0.00046752754,0.0013248911,0.00012242244,0.00021504749,0.00025103128,0.00013573935,0.000005817589],"category_scores_gemma":[0.00007964504,0.00022281545,0.00009917528,0.0008506892,0.000035269444,0.00027530923,0.00001186679,0.0008508192,0.0000020830412],"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":[0.000008445649,0.0000059541157,0.0020088416,0.00026043766,0.0002524694,0.0022028123,0.00046918745,0.9252099,0.0019962222,0.00065014407,0.004879614,0.062055986],"study_design_scores_gemma":[0.00038961135,0.00026839707,0.0040491982,0.0002555991,0.000019097037,0.0018574498,0.000005224199,0.9807118,0.00032121566,0.00006736662,0.011771561,0.00028345088],"about_ca_topic_score_codex":0.0005468253,"about_ca_topic_score_gemma":0.0004820788,"teacher_disagreement_score":0.57684827,"about_ca_system_score_codex":0.0002262929,"about_ca_system_score_gemma":0.00052592123,"threshold_uncertainty_score":0.908615},"labels":[],"label_agreement":null},{"id":"W4366126332","doi":"10.1007/978-3-031-25759-9","title":"Artificial Intelligence in Control and Decision-making Systems","year":2023,"lang":"en","type":"book","venue":"Studies in computational intelligence","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial intelligence; Control (management); Machine learning","score_opus":0.08872057163561603,"score_gpt":0.3921945055867671,"score_spread":0.3034739339511511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366126332","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":[0.0001353185,0.033545855,0.95644224,0.00002032234,0.0019366076,0.0006632932,0.000045089244,0.00017342812,0.0070378366],"genre_scores_gemma":[0.9867819,0.0036820679,0.005785759,0.000025179665,0.00052893354,0.00019339725,0.0000135566115,0.00012814274,0.0028610718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997311,0.000049717597,0.0011471281,0.0004857636,0.0005766054,0.0004297674],"domain_scores_gemma":[0.9943231,0.005112878,0.00011714621,0.00014439096,0.00024354193,0.00005894653],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008565307,0.00036407379,0.0007135999,0.00064717757,0.00010952079,0.00009011163,0.0002832939,0.0001975222,0.000005199614],"category_scores_gemma":[0.00056968344,0.00036104675,0.000055379525,0.00044586262,0.0003412212,0.00014381652,0.00015548503,0.00074002286,0.00006975239],"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":[0.000017291615,0.0000063797474,0.000014967526,0.0007166812,0.00006183923,0.00016023511,0.0005064371,0.85847265,7.2662095e-7,0.014200342,0.00029821834,0.1255442],"study_design_scores_gemma":[0.000018131504,0.000019995385,0.0000104126875,0.0042526647,0.0000041837234,0.000013162309,0.00078525743,0.57006824,9.831788e-7,0.42440027,0.00019149376,0.00023523837],"about_ca_topic_score_codex":0.000005683677,"about_ca_topic_score_gemma":0.00006981055,"teacher_disagreement_score":0.9866466,"about_ca_system_score_codex":0.0006081639,"about_ca_system_score_gemma":0.00012755106,"threshold_uncertainty_score":0.9998841},"labels":[],"label_agreement":null},{"id":"W4378965581","doi":"10.18280/jesa.560205","title":"Comparison of the Application of FNN and LSTM Based on the Use of Modules of Artificial Neural Networks in Generating an Individual Knowledge Testing Trajectory","year":2023,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","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; Artificial intelligence; Computer science; Trajectory; Deep neural networks; Machine learning","score_opus":0.12027175563776359,"score_gpt":0.32649883444300076,"score_spread":0.20622707880523716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378965581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9536887,0.00037188694,0.045613654,0.0000058195815,0.000071626506,0.00018551061,0.000009772193,0.000030278381,0.000022781534],"genre_scores_gemma":[0.9967491,0.0000057002103,0.0031371787,0.000002405341,0.00007126981,0.000006567327,0.0000014262567,0.000024240586,0.0000021245787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982377,0.00036026703,0.000806661,0.00009606333,0.00031935252,0.00017994497],"domain_scores_gemma":[0.9984356,0.00077309547,0.00043170847,0.00016355002,0.00015519134,0.000040863004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009272571,0.00011492521,0.0003241324,0.00017122415,0.00012681993,0.000040004616,0.00021078803,0.000050768613,0.0000012220215],"category_scores_gemma":[0.00038157206,0.00007355899,0.000051463096,0.0006577313,0.00015135958,0.00015711844,0.00004336958,0.00030482368,1.1953745e-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":[0.000006492763,0.000029833178,0.013761139,0.0003090811,0.000012675677,7.230519e-7,0.00068927224,0.7738939,0.04362489,0.000039085466,0.000010837285,0.1676221],"study_design_scores_gemma":[0.000093361545,0.00007539194,0.17499265,0.00050453335,0.000008842256,0.000005417071,0.00021664746,0.82035863,0.0036367339,0.000054486398,0.000002190454,0.00005113753],"about_ca_topic_score_codex":0.00001931062,"about_ca_topic_score_gemma":0.000029350595,"teacher_disagreement_score":0.16757096,"about_ca_system_score_codex":0.000029973544,"about_ca_system_score_gemma":0.00003444834,"threshold_uncertainty_score":0.29996487},"labels":[],"label_agreement":null},{"id":"W4381748155","doi":"10.1109/icjece.2023.3280333","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Computer science; Engineering; Engineering ethics","score_opus":0.009210202954477076,"score_gpt":0.19507397903045018,"score_spread":0.1858637760759731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381748155","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":[0.41791892,0.008460622,0.5714767,0.000120027325,0.0017793055,0.00012406596,0.0000068565655,0.00006749696,0.000046027322],"genre_scores_gemma":[0.9947672,0.00016001008,0.0036817652,0.00003005881,0.0012958375,0.0000011927025,8.3484366e-7,0.000049285234,0.00001379983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821806,0.000020934753,0.0005803995,0.00013795264,0.00022801012,0.00081461965],"domain_scores_gemma":[0.9976873,0.0002091641,0.00007930271,0.00008266053,0.00019496965,0.0017466479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039843807,0.00023991788,0.00046752754,0.0013248911,0.00012242244,0.00021504749,0.00025103128,0.00013573935,0.000005817589],"category_scores_gemma":[0.00007964504,0.00022281545,0.00009917528,0.0008506892,0.000035269444,0.00027530923,0.00001186679,0.0008508192,0.0000020830412],"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":[0.000008445649,0.0000059541157,0.0020088416,0.00026043766,0.0002524694,0.0022028123,0.00046918745,0.9252099,0.0019962222,0.00065014407,0.004879614,0.062055986],"study_design_scores_gemma":[0.00038961135,0.00026839707,0.0040491982,0.0002555991,0.000019097037,0.0018574498,0.000005224199,0.9807118,0.00032121566,0.00006736662,0.011771561,0.00028345088],"about_ca_topic_score_codex":0.0005468253,"about_ca_topic_score_gemma":0.0004820788,"teacher_disagreement_score":0.57684827,"about_ca_system_score_codex":0.0002262929,"about_ca_system_score_gemma":0.00052592123,"threshold_uncertainty_score":0.908615},"labels":[],"label_agreement":null},{"id":"W4382052193","doi":"10.1109/scm58628.2023.10159109","title":"Analysis of Artificial Intelligence Methods and Algorithms for Processing Data as a Series of Signals","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Science and Higher Education of the Russian Federation","keywords":"Computer science; Artificial intelligence; AdaBoost; Support vector machine; Pattern recognition (psychology); Task (project management); Field (mathematics); Machine learning; Object (grammar); Time series; Selection (genetic algorithm); Series (stratigraphy); Data mining; Algorithm; Mathematics; Engineering","score_opus":0.19929694661001135,"score_gpt":0.4664852847707862,"score_spread":0.26718833816077486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382052193","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":[0.005246025,0.00070541445,0.99344426,0.000024499106,0.000028851162,0.0001373489,0.00005656733,0.00007951905,0.0002774933],"genre_scores_gemma":[0.70517707,0.00014709696,0.2943587,0.000003140835,0.00004148729,0.000023676335,0.000044393662,0.000022759603,0.00018164406],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990616,0.000031233405,0.00039241844,0.00018551068,0.00015633077,0.00017291124],"domain_scores_gemma":[0.9992868,0.00027023893,0.00006242767,0.00020446976,0.00013064207,0.000045459845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012518101,0.000083208346,0.0003447233,0.00030863582,0.00005015616,0.000029484392,0.00019496489,0.0000415037,0.000018230652],"category_scores_gemma":[0.00030503632,0.000069087655,0.000040770534,0.0013699785,0.000083538165,0.0003101927,0.000095513424,0.00005234356,5.478271e-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":[0.0000183434,0.000008052087,0.000028505414,0.0010391291,0.0003172683,0.0000011868984,0.00045799967,0.085520044,0.09261457,0.00048120163,0.000033010696,0.81948066],"study_design_scores_gemma":[0.000015634585,0.00003119912,0.000015948839,0.00005205192,0.000083079496,8.346173e-7,0.0012472,0.8822463,0.11214618,0.0038690835,0.00022101788,0.00007146027],"about_ca_topic_score_codex":0.00001612119,"about_ca_topic_score_gemma":0.000007920806,"teacher_disagreement_score":0.81940925,"about_ca_system_score_codex":0.000006076419,"about_ca_system_score_gemma":0.000027662645,"threshold_uncertainty_score":0.28173128},"labels":[],"label_agreement":null},{"id":"W4385235640","doi":"10.1109/med59994.2023.10185760","title":"Modifying Neural Networks in Adversarial Agents of Multi-agent Reinforcement Learning Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Adversarial system; Reinforcement learning; Computer science; Artificial neural network; Artificial intelligence; Multi-agent system","score_opus":0.057999579658499154,"score_gpt":0.30301446789055286,"score_spread":0.2450148882320537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385235640","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":[0.15223545,0.0009165776,0.8389981,0.000009618421,0.0016340635,0.0006509664,9.91197e-7,0.00064308936,0.004911151],"genre_scores_gemma":[0.9988355,0.000113927876,0.0001144031,0.0000025640243,0.000097966345,0.000030227726,0.000008573183,0.000027601976,0.00076923985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987278,0.000044479493,0.00041562397,0.00013895094,0.00026997091,0.00040317184],"domain_scores_gemma":[0.99968445,0.000058536574,0.000045393288,0.00010284595,0.00003440703,0.00007436179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004153573,0.00012085649,0.0002155998,0.00018499573,0.0000603251,0.0000312032,0.00011993889,0.000067725836,0.000014803441],"category_scores_gemma":[0.00004305192,0.00010989012,0.00004454589,0.00042884916,0.00001751219,0.00016204399,0.00006669279,0.00026969647,0.000012286268],"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":[0.000007562413,0.000004013778,0.0008203005,0.0002524751,0.000015914691,0.000020367872,0.00022196304,0.9950443,0.0010942171,0.000032831653,0.00010573606,0.002380333],"study_design_scores_gemma":[0.0005459722,0.000020445957,0.00026048385,0.00014182659,0.0000019099148,0.0000013018089,0.0006413677,0.997783,0.00012405035,0.0000019308322,0.00036739052,0.0001103099],"about_ca_topic_score_codex":0.000096051095,"about_ca_topic_score_gemma":0.0000060044094,"teacher_disagreement_score":0.84660006,"about_ca_system_score_codex":0.00009180491,"about_ca_system_score_gemma":0.000008409935,"threshold_uncertainty_score":0.4481189},"labels":[],"label_agreement":null},{"id":"W4386262528","doi":"10.1109/tcsi.2023.3301632","title":"Guest Editorial Special Issue on the IEEE International NEWCAS Conference 2022","year":2023,"lang":"en","type":"editorial","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Université de Sherbrooke","funders":"","keywords":"Telecommunications; Selection (genetic algorithm); Library science; Engineering; Political science; Computer science; Engineering ethics","score_opus":0.029346834471705274,"score_gpt":0.2736584364532678,"score_spread":0.24431160198156254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386262528","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000021092923,0.00014668715,0.0045460984,0.00009613099,0.9825113,0.0005827069,0.0006438295,0.00029469052,0.011157467],"genre_scores_gemma":[0.010915305,0.0010350894,0.0000015104997,0.000008860825,0.9768379,0.00023935048,0.00004614817,0.00016618936,0.010749656],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958009,0.00019826501,0.0006484956,0.00065682956,0.0021198168,0.00057568675],"domain_scores_gemma":[0.9973845,0.0013514236,0.00014973352,0.0004975804,0.00033066544,0.00028610785],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008565552,0.00057247485,0.0006357327,0.00028597473,0.00057551265,0.00058304385,0.00060035975,0.0009370538,0.00014999631],"category_scores_gemma":[0.00015729813,0.0004442886,0.00020745862,0.00029145196,0.00017997739,0.00017722038,0.0000037218667,0.0019905022,0.00019877887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026056054,0.00002368555,5.2908057e-8,0.00031047536,0.00028153436,0.000033641238,0.00025330216,0.020062443,0.0014768711,0.000036962017,0.9709955,0.0064994725],"study_design_scores_gemma":[0.00046854862,0.00012217955,1.7604023e-7,0.0009201028,0.00004231735,0.0000072822204,0.00048680263,0.0024339757,0.00034459922,0.00001708446,0.9946844,0.0004725535],"about_ca_topic_score_codex":0.00007668812,"about_ca_topic_score_gemma":0.00005089326,"teacher_disagreement_score":0.023688873,"about_ca_system_score_codex":0.00034481144,"about_ca_system_score_gemma":0.00022545828,"threshold_uncertainty_score":0.99980086},"labels":[],"label_agreement":null},{"id":"W4386869623","doi":"10.1109/icjece.2023.3292709","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Computer science; Electrical engineering; Engineering","score_opus":0.009210202954477076,"score_gpt":0.19507397903045018,"score_spread":0.1858637760759731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386869623","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":[0.41791892,0.008460622,0.5714767,0.000120027325,0.0017793055,0.00012406596,0.0000068565655,0.00006749696,0.000046027322],"genre_scores_gemma":[0.9947672,0.00016001008,0.0036817652,0.00003005881,0.0012958375,0.0000011927025,8.3484366e-7,0.000049285234,0.00001379983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821806,0.000020934753,0.0005803995,0.00013795264,0.00022801012,0.00081461965],"domain_scores_gemma":[0.9976873,0.0002091641,0.00007930271,0.00008266053,0.00019496965,0.0017466479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039843807,0.00023991788,0.00046752754,0.0013248911,0.00012242244,0.00021504749,0.00025103128,0.00013573935,0.000005817589],"category_scores_gemma":[0.00007964504,0.00022281545,0.00009917528,0.0008506892,0.000035269444,0.00027530923,0.00001186679,0.0008508192,0.0000020830412],"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":[0.000008445649,0.0000059541157,0.0020088416,0.00026043766,0.0002524694,0.0022028123,0.00046918745,0.9252099,0.0019962222,0.00065014407,0.004879614,0.062055986],"study_design_scores_gemma":[0.00038961135,0.00026839707,0.0040491982,0.0002555991,0.000019097037,0.0018574498,0.000005224199,0.9807118,0.00032121566,0.00006736662,0.011771561,0.00028345088],"about_ca_topic_score_codex":0.0005468253,"about_ca_topic_score_gemma":0.0004820788,"teacher_disagreement_score":0.57684827,"about_ca_system_score_codex":0.0002262929,"about_ca_system_score_gemma":0.00052592123,"threshold_uncertainty_score":0.908615},"labels":[],"label_agreement":null},{"id":"W4387260746","doi":"10.23952/jnva.7.2023.5.07","title":"Optimality conditions in optimization under uncertainty","year":2023,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Advanced Research in Systems and Signal Processing","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 optimization; Computer science; Mathematics; Environmental science","score_opus":0.022100860109641584,"score_gpt":0.3097219025011409,"score_spread":0.2876210423914993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387260746","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":[0.15393637,0.00019547321,0.844856,0.00044311333,0.00009107307,0.00004843488,0.00004960976,0.000032847933,0.00034705072],"genre_scores_gemma":[0.98879844,0.00016754477,0.010788903,0.000016505153,0.00012538845,0.0000014717058,0.00005317732,0.000005927825,0.00004262547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992624,0.000033414977,0.00032947306,0.00005858483,0.00021774627,0.00009837204],"domain_scores_gemma":[0.9995445,0.00012893487,0.00007177628,0.00003796501,0.0001604582,0.000056378496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049634144,0.000055342596,0.00017993982,0.0005169068,0.000053340973,0.000032235355,0.0000483489,0.000036888137,0.000067129215],"category_scores_gemma":[0.000058935395,0.000046205478,0.00007770397,0.001266219,0.00001671428,0.00019890246,0.000009900088,0.0001262996,0.00000195036],"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":[0.000005416837,0.000011363429,0.001848514,0.000013850392,0.00022710553,0.0000060058524,0.000045021075,0.9972773,0.00014296504,0.0002603278,0.00003575912,0.00012633025],"study_design_scores_gemma":[0.00019441628,0.000010265772,0.017449422,0.000014244217,0.00007002996,0.000005111562,0.0001029179,0.9810257,0.0000065066165,0.0009934086,0.00007874536,0.000049229],"about_ca_topic_score_codex":0.000009860957,"about_ca_topic_score_gemma":0.000008798785,"teacher_disagreement_score":0.83486205,"about_ca_system_score_codex":0.000047014983,"about_ca_system_score_gemma":0.0000346048,"threshold_uncertainty_score":0.18842047},"labels":[],"label_agreement":null},{"id":"W4388196067","doi":"10.18280/mmep.100530","title":"A Mathematical Approach to Evaluating Managerial Skills: Economic Cybernetics and the Convex Operational Field","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced Research in Systems and Signal Processing","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":"Cybernetics; Field (mathematics); Management science; Computer science; Regular polygon; Operations research; Mathematical economics; Industrial engineering; Engineering; Mathematics; Artificial intelligence","score_opus":0.03227122510726306,"score_gpt":0.26425285069091303,"score_spread":0.23198162558365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388196067","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":[0.042193424,0.00019956953,0.9538893,0.00014612362,0.000076660166,0.0004566541,0.000002685206,0.0002896515,0.0027459068],"genre_scores_gemma":[0.92336965,0.00010400759,0.075717784,0.000027947457,0.00017331101,0.00025430621,0.000003993345,0.00006267154,0.00028630643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988247,0.000021152156,0.0003733188,0.00022192983,0.00021300031,0.00034588354],"domain_scores_gemma":[0.9990649,0.0005999802,0.000017961449,0.00015106464,0.000021841977,0.0001442546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009823072,0.00018922606,0.00031679226,0.000086319895,0.00012761768,0.00020715453,0.000122061196,0.00008149752,0.0000108382965],"category_scores_gemma":[0.00012537325,0.00013539763,0.000037993803,0.00012060435,0.000053442982,0.000089282075,0.00008695558,0.00022893777,0.00004628917],"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":[0.0000051939287,0.0000072960893,6.7875726e-7,0.0008884559,0.000027765664,7.336246e-7,0.0010317711,0.939064,0.00013917216,0.0580934,0.000053518987,0.00068798097],"study_design_scores_gemma":[0.00037779773,0.00002275408,8.742623e-7,0.00023021108,0.000012519461,0.000020288115,0.00007626769,0.9611062,0.00006097583,0.037771318,0.00015130783,0.000169514],"about_ca_topic_score_codex":0.000002681234,"about_ca_topic_score_gemma":9.174962e-8,"teacher_disagreement_score":0.88117623,"about_ca_system_score_codex":0.00002451309,"about_ca_system_score_gemma":0.000008702237,"threshold_uncertainty_score":0.55213547},"labels":[],"label_agreement":null},{"id":"W4388399275","doi":"10.1002/acs.3438","title":"Issue Information","year":2023,"lang":"en","type":"paratext","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Citation; Information retrieval; World Wide Web","score_opus":0.01487764283298669,"score_gpt":0.2785462086936892,"score_spread":0.2636685658607025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388399275","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":[0.00026941986,0.024296835,0.91966367,0.0004730069,0.007743731,0.00029588817,0.0002593143,0.00010006809,0.046898067],"genre_scores_gemma":[0.984278,0.0022986883,0.00097197114,0.0002266947,0.0050494317,0.000015414713,0.000043891992,0.000091449205,0.0070244065],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977348,0.00004760442,0.00090821396,0.00012185405,0.0009143552,0.00027316285],"domain_scores_gemma":[0.9974628,0.00013633097,0.00057039317,0.00005010469,0.0016245857,0.00015580455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048851874,0.00029078353,0.0005301648,0.0006096193,0.00010153829,0.00042156712,0.00040964692,0.00021396979,0.00018875497],"category_scores_gemma":[0.00006248389,0.00024089844,0.0001327262,0.0001532983,0.00009101651,0.0015768043,0.000045529847,0.000802992,0.00052189373],"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":[0.0003771788,0.00002109423,0.000004634721,0.0006975472,0.00092132663,0.00013022145,0.00075924356,0.1033232,0.0021719919,0.00004203685,0.16127963,0.7302719],"study_design_scores_gemma":[0.003325696,0.00036338187,0.00006206721,0.0050483155,0.00010887946,0.0003760013,0.0010904139,0.25865895,0.00044291167,0.0010483322,0.7286856,0.00078945525],"about_ca_topic_score_codex":0.0000060090388,"about_ca_topic_score_gemma":6.617228e-7,"teacher_disagreement_score":0.9840086,"about_ca_system_score_codex":0.00016545199,"about_ca_system_score_gemma":0.00021542782,"threshold_uncertainty_score":0.9823553},"labels":[],"label_agreement":null},{"id":"W4392774718","doi":"","title":"Linear and logistic models with time dependent coefficients","year":2016,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Statistics; Logistic regression; Mathematics; Econometrics; Statistical physics; Physics","score_opus":0.2493291515672632,"score_gpt":0.513178285091578,"score_spread":0.2638491335243148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392774718","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":[0.35793373,0.014621372,0.6189614,0.000045200184,0.00022732622,0.0005468152,0.00005788477,0.00012997877,0.0074762665],"genre_scores_gemma":[0.99581933,0.002629243,0.00073866016,0.000019472755,0.00009245958,0.000019817357,0.0000014339176,0.00006130981,0.00061824586],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981323,0.0000764363,0.0004676154,0.00029325363,0.0006281019,0.00040228417],"domain_scores_gemma":[0.9988093,0.00024602888,0.00017993741,0.0002585765,0.0002210312,0.00028514475],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006586828,0.00024131185,0.0004854338,0.0003275412,0.00016150589,0.0004611862,0.0009513296,0.000074613024,0.0009169822],"category_scores_gemma":[0.00010485571,0.00015013509,0.00004413643,0.00033790403,0.00014924903,0.0017816904,0.00034011726,0.00022685337,0.000020408736],"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":[0.00041755714,0.00020211644,0.03808257,0.0007277324,0.0004592427,0.00025925384,0.00021650874,0.30265978,0.5229977,0.00019384171,0.0054561496,0.1283276],"study_design_scores_gemma":[0.011702469,0.00027726823,0.053669177,0.01917726,0.00040922457,0.00055687194,0.00032411897,0.5976003,0.22706915,0.06251894,0.02076848,0.005926726],"about_ca_topic_score_codex":0.000052430125,"about_ca_topic_score_gemma":0.0000051383067,"teacher_disagreement_score":0.63788563,"about_ca_system_score_codex":0.000086337066,"about_ca_system_score_gemma":0.000052997286,"threshold_uncertainty_score":0.9999963},"labels":[],"label_agreement":null},{"id":"W4392902088","doi":"10.1109/icjece.2024.3359475","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.0069321441668636265,"score_gpt":0.19239278391233058,"score_spread":0.18546063974546695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392902088","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":[0.13734172,0.035418104,0.82495326,0.00009555326,0.0020028988,0.000089508,0.000005529956,0.00004530521,0.00004812596],"genre_scores_gemma":[0.99253994,0.00017649609,0.0054987213,0.000027817861,0.0016913165,9.975571e-7,5.0435e-7,0.000051677416,0.000012549753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983556,0.000018719684,0.00057027524,0.0001492027,0.0002097369,0.00069644436],"domain_scores_gemma":[0.9978691,0.00020869687,0.00004913488,0.00007318124,0.00015923174,0.0016406759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034234,0.0002477851,0.0004356431,0.0011537597,0.00009291275,0.00039551628,0.00022126292,0.0001361013,0.000008351611],"category_scores_gemma":[0.00005033368,0.00022128085,0.00010988475,0.00058181334,0.00003527328,0.00034610246,0.000009028463,0.001026798,0.0000013025021],"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":[0.000010794414,0.00000941547,0.0009781737,0.0007997131,0.00055136054,0.005052414,0.0007963519,0.81168884,0.0030206277,0.0025252437,0.0058063716,0.16876067],"study_design_scores_gemma":[0.00022379219,0.00026145097,0.00083082466,0.0005143871,0.00002665909,0.003596382,0.0000030781605,0.9708799,0.0003204253,0.00007651194,0.023000496,0.00026608066],"about_ca_topic_score_codex":0.0005294604,"about_ca_topic_score_gemma":0.0004208678,"teacher_disagreement_score":0.8551982,"about_ca_system_score_codex":0.0002915652,"about_ca_system_score_gemma":0.00070059905,"threshold_uncertainty_score":0.9023571},"labels":[],"label_agreement":null},{"id":"W4393147688","doi":"10.1609/aaai.v38i9.28933","title":"Abstraction of Situation Calculus Concurrent Game Structures","year":2024,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; York University","funders":"","keywords":"Abstraction; Computer science; Programming language; Calculus (dental); Situation calculus; Pi calculus; Theoretical computer science; Epistemology; Philosophy; Medicine","score_opus":0.07680000264086553,"score_gpt":0.33137887336298294,"score_spread":0.2545788707221174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393147688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88109666,0.0014791752,0.09056995,0.0004672357,0.0026614708,0.0008081017,0.000033310964,0.00036460935,0.022519484],"genre_scores_gemma":[0.99961555,0.000093265764,0.000094562725,0.0000039952715,0.00010009579,0.000011604803,7.074551e-7,0.000015620799,0.00006460882],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988372,0.0000055434493,0.0004216769,0.00017962641,0.00037480897,0.00018115538],"domain_scores_gemma":[0.99941975,0.00006003714,0.00009342265,0.00007438271,0.00030698002,0.000045437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002329661,0.00013254253,0.00017025665,0.00010578619,0.000049548154,0.000097201235,0.00027622748,0.00006824561,0.00007788516],"category_scores_gemma":[0.00011391377,0.00009453671,0.00007556948,0.0003126488,0.00015124341,0.00024693902,0.000035471818,0.00028998105,0.000019476654],"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":[0.000017783761,0.000018306848,0.000012728664,0.00072713994,0.000026091166,4.3265572e-7,0.0009267476,0.007499952,0.4714181,0.23297778,0.00008717701,0.28628775],"study_design_scores_gemma":[0.0000069174625,0.00004628063,0.00004134579,0.0005196275,0.000008753955,0.0000026964167,0.00043647736,0.22858387,0.72412986,0.04594431,0.00018900394,0.00009083678],"about_ca_topic_score_codex":0.000013382587,"about_ca_topic_score_gemma":0.0000027427275,"teacher_disagreement_score":0.28619692,"about_ca_system_score_codex":0.000053127344,"about_ca_system_score_gemma":0.00004180713,"threshold_uncertainty_score":0.3855095},"labels":[],"label_agreement":null},{"id":"W4393160540","doi":"10.1609/aaai.v38i15.29571","title":"A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning","year":2024,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Alberta; Alberta Machine Intelligence Institute; Compute Canada; National Natural Science Foundation of China; Canadian Institute for Advanced Research","keywords":"Reinforcement learning; Computer science; Transfer of learning; Artificial intelligence; Graph; Artificial neural network; Reinforcement; Theoretical computer science; Psychology; Social psychology","score_opus":0.07550551617635658,"score_gpt":0.2994715040283441,"score_spread":0.2239659878519875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393160540","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":[0.15575251,0.00074654946,0.8316255,0.00009165051,0.00046715612,0.0005318283,6.842871e-7,0.00022139387,0.010562721],"genre_scores_gemma":[0.9993617,0.00009173341,0.0003209876,0.000013653738,0.000094619776,0.000029701192,5.8562375e-7,0.00003339835,0.00005364995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837923,0.000016628857,0.00052087306,0.00029056368,0.00036307442,0.000429648],"domain_scores_gemma":[0.9996154,0.000060760598,0.000034594683,0.00008409744,0.0001347114,0.000070450325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000553377,0.00021435802,0.0002469528,0.00021302883,0.00012107107,0.00021406419,0.00041104876,0.00009805767,0.000031266947],"category_scores_gemma":[0.000069590256,0.00016170579,0.00010512421,0.00085498695,0.00014593767,0.00042074468,0.00005522603,0.00078193715,0.0000043868604],"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":[0.000025627862,0.000014211703,0.00003638708,0.00033355053,0.000014719432,0.000001395826,0.000836101,0.8945118,0.027896743,0.042980805,0.00000303963,0.033345584],"study_design_scores_gemma":[0.000016011696,0.000045675588,0.0000036995782,0.0005679446,0.0000078664325,0.000006220269,0.0009743529,0.9586887,0.034522023,0.004973798,0.000023812308,0.00016992234],"about_ca_topic_score_codex":0.000024996953,"about_ca_topic_score_gemma":0.000003322715,"teacher_disagreement_score":0.84360915,"about_ca_system_score_codex":0.00008389005,"about_ca_system_score_gemma":0.000025123223,"threshold_uncertainty_score":0.6594171},"labels":[],"label_agreement":null},{"id":"W4394968646","doi":"10.31857/s0033849423010102","title":"Effect of Transionospheric Transmission Lines on the Probabilistic Characteristics of Reception of Phase-Shift Keyed Signals","year":2023,"lang":"en","type":"article","venue":"Радиотехника и электроника","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"C-Com Satellite Systems (Canada)","funders":"","keywords":"Phase (matter); Transmission (telecommunications); Acoustics; Telecommunications; Physics; Computer science","score_opus":0.02358316851488784,"score_gpt":0.3026820338528951,"score_spread":0.27909886533800726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394968646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98144007,0.00026586553,0.016576512,0.00007059095,0.00018462553,0.0007962904,0.00007564999,0.00016251496,0.0004278929],"genre_scores_gemma":[0.9993762,0.0001949713,0.00013720425,0.0000041767057,0.00007659056,0.00005756288,0.000034479446,0.000051737567,0.000067081026],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99791783,0.00023615899,0.0008084756,0.00021182334,0.000512913,0.0003128278],"domain_scores_gemma":[0.998126,0.0011520478,0.00020054873,0.00030296936,0.00013474275,0.000083725856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001191959,0.0002448108,0.0006133803,0.00013416556,0.00007590116,0.000011405504,0.0002631582,0.00012906517,0.00013804827],"category_scores_gemma":[0.0002708711,0.00015775785,0.00017574865,0.0008652269,0.00015524287,0.00009738819,0.00001713382,0.00024788882,0.000013323296],"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":[0.0005111084,0.00013039017,0.000100102094,0.004985203,0.000082258535,0.0000057496945,0.0008473572,0.02465912,0.7696001,0.00017699412,0.00025517537,0.19864647],"study_design_scores_gemma":[0.0023986057,0.0032612022,0.0016026095,0.0030803776,0.0001098398,0.000003453027,0.00014388261,0.15938054,0.8269086,0.0011038699,0.0015681869,0.00043883754],"about_ca_topic_score_codex":0.000007912805,"about_ca_topic_score_gemma":5.370397e-7,"teacher_disagreement_score":0.19820763,"about_ca_system_score_codex":0.000025669748,"about_ca_system_score_gemma":0.00003469674,"threshold_uncertainty_score":0.6433179},"labels":[],"label_agreement":null},{"id":"W4398248921","doi":"10.1109/tcsii.2024.3381408","title":"Guest Editorial Special Issue on the 2024 IEEE International Symposium on Circuits and Systems","year":2024,"lang":"en","type":"editorial","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electronic circuit; Computer science; Engineering ethics; Engineering; Electrical engineering","score_opus":0.018222966280494968,"score_gpt":0.26779477133564356,"score_spread":0.2495718050551486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398248921","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000472415,0.0011466676,0.010296441,0.00009796509,0.96421856,0.0018144468,0.0030212642,0.00067954586,0.018677883],"genre_scores_gemma":[0.06963179,0.00074159494,0.0000010728517,0.000016289974,0.9094047,0.0010800499,0.00006794865,0.00042723815,0.018629309],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99127334,0.0004197492,0.0015171991,0.0015687164,0.004107528,0.0011134725],"domain_scores_gemma":[0.9951255,0.0023525949,0.00031500246,0.0011142946,0.00063518656,0.00045742496],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0012943782,0.0013287708,0.0013501053,0.00062134856,0.0010335272,0.0018702709,0.0012766273,0.0018571148,0.00009234392],"category_scores_gemma":[0.00011745893,0.0010953529,0.0003948948,0.0005067022,0.00024016466,0.0004999707,0.000016283348,0.0048383046,0.000564641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050276296,0.00010745218,6.0168674e-8,0.002050422,0.0005964207,0.000090731824,0.0007784134,0.10568021,0.002376719,0.000063151594,0.88693184,0.0012742993],"study_design_scores_gemma":[0.0007510109,0.00036933785,6.851884e-8,0.0074641197,0.00014199528,0.00004351694,0.00034824465,0.0039180163,0.0011097739,0.000013482739,0.9848043,0.0010361788],"about_ca_topic_score_codex":0.00027748314,"about_ca_topic_score_gemma":0.000020220952,"teacher_disagreement_score":0.1017622,"about_ca_system_score_codex":0.0011309031,"about_ca_system_score_gemma":0.00031718393,"threshold_uncertainty_score":0.99994636},"labels":[],"label_agreement":null},{"id":"W4399146205","doi":"10.2139/ssrn.4842629","title":"Logisitics / Multinomial Logistics / Neural Network Probability Contributions","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Multinomial distribution; Artificial neural network; Business; Econometrics; Computer science; Actuarial science; Artificial intelligence; Economics","score_opus":0.01627276085824985,"score_gpt":0.28120982122346555,"score_spread":0.2649370603652157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399146205","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":[0.013786051,0.021859588,0.9614946,0.0002084792,0.0012521216,0.00017663273,0.00001650829,0.0003563443,0.0008496337],"genre_scores_gemma":[0.9964178,0.00092868984,0.0004850215,0.000011437892,0.0019025876,0.0000056521294,0.0000054753796,0.00003407024,0.0002092661],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99684083,0.000069023765,0.00034082157,0.00016153221,0.00022936294,0.0023584322],"domain_scores_gemma":[0.99944776,0.00016079564,0.000027281581,0.00011549527,0.00012063428,0.00012803609],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001532544,0.0001622914,0.00018656436,0.00005469497,0.00028141675,0.00020566824,0.00018563062,0.00010112025,0.000013418152],"category_scores_gemma":[0.00017197602,0.00013421442,0.00010775191,0.00023594685,0.00008855273,0.00021539707,0.00002868249,0.0028072943,0.000024815621],"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":[0.000016341275,0.000014998771,0.00014549246,0.00010885402,0.00014989522,0.000046384248,0.000044717784,0.8338135,0.00058553857,0.12983544,0.00047099357,0.034767862],"study_design_scores_gemma":[0.0002531243,0.00011773442,0.000023777287,0.00007836788,0.000026575113,0.0006791429,0.00012723455,0.55945444,0.00008074064,0.43237603,0.006556026,0.0002268144],"about_ca_topic_score_codex":0.0000052847076,"about_ca_topic_score_gemma":0.000044693115,"teacher_disagreement_score":0.98263174,"about_ca_system_score_codex":0.0013683063,"about_ca_system_score_gemma":0.0006864727,"threshold_uncertainty_score":0.99949324},"labels":[],"label_agreement":null},{"id":"W4399665785","doi":"10.1109/icjece.2024.3379100","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Computer science; Electrical engineering; Engineering","score_opus":0.0069321441668636265,"score_gpt":0.19239278391233058,"score_spread":0.18546063974546695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399665785","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":[0.13734172,0.035418104,0.82495326,0.00009555326,0.0020028988,0.000089508,0.000005529956,0.00004530521,0.00004812596],"genre_scores_gemma":[0.99253994,0.00017649609,0.0054987213,0.000027817861,0.0016913165,9.975571e-7,5.0435e-7,0.000051677416,0.000012549753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983556,0.000018719684,0.00057027524,0.0001492027,0.0002097369,0.00069644436],"domain_scores_gemma":[0.9978691,0.00020869687,0.00004913488,0.00007318124,0.00015923174,0.0016406759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034234,0.0002477851,0.0004356431,0.0011537597,0.00009291275,0.00039551628,0.00022126292,0.0001361013,0.000008351611],"category_scores_gemma":[0.00005033368,0.00022128085,0.00010988475,0.00058181334,0.00003527328,0.00034610246,0.000009028463,0.001026798,0.0000013025021],"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":[0.000010794414,0.00000941547,0.0009781737,0.0007997131,0.00055136054,0.005052414,0.0007963519,0.81168884,0.0030206277,0.0025252437,0.0058063716,0.16876067],"study_design_scores_gemma":[0.00022379219,0.00026145097,0.00083082466,0.0005143871,0.00002665909,0.003596382,0.0000030781605,0.9708799,0.0003204253,0.00007651194,0.023000496,0.00026608066],"about_ca_topic_score_codex":0.0005294604,"about_ca_topic_score_gemma":0.0004208678,"teacher_disagreement_score":0.8551982,"about_ca_system_score_codex":0.0002915652,"about_ca_system_score_gemma":0.00070059905,"threshold_uncertainty_score":0.9023571},"labels":[],"label_agreement":null},{"id":"W4400992830","doi":"10.69554/budn9483","title":"Convergence of measurement systems analysis and artificial intelligence in the supply chain","year":2022,"lang":"en","type":"article","venue":"Journal of supply chain management, logistics and procurement.","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Convergence (economics); Supply chain; Computer science; Artificial intelligence; Econometrics; Mathematics; Economics; Business; Macroeconomics","score_opus":0.05064737224738441,"score_gpt":0.2741253802233773,"score_spread":0.22347800797599288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400992830","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":[0.019484496,0.014421218,0.9625078,0.0005117971,0.0006005336,0.0011095956,0.000057620313,0.000020474392,0.0012864899],"genre_scores_gemma":[0.99763906,0.0014249056,0.00076134666,0.00002544469,0.000067680696,0.00003997051,0.00000266398,0.000012446032,0.000026501557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99744314,0.00018276322,0.0008516165,0.00016776308,0.0010760442,0.00027868277],"domain_scores_gemma":[0.9991963,0.000091442416,0.00031611012,0.00015366582,0.00017191759,0.000070595685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043896963,0.00016384112,0.00037622298,0.0005297746,0.00016849382,0.00008884353,0.00034643762,0.000029417344,0.000034766505],"category_scores_gemma":[0.00006547038,0.00012548474,0.00006950001,0.00081976183,0.00010109494,0.00008221341,0.00012105989,0.00035015328,2.2307277e-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":[0.00017944221,0.00025587375,0.013805866,0.0031415678,0.0015443567,0.00029841397,0.0029815314,0.90332156,0.0023500165,0.038417466,0.0008282504,0.03287567],"study_design_scores_gemma":[0.0011943982,0.0013936756,0.006995758,0.00075572205,0.0012437284,0.00014604836,0.05147067,0.8960844,0.00093122385,0.023630062,0.015176116,0.0009781666],"about_ca_topic_score_codex":0.000035962075,"about_ca_topic_score_gemma":0.000020977735,"teacher_disagreement_score":0.97815454,"about_ca_system_score_codex":0.00011417596,"about_ca_system_score_gemma":0.000023099192,"threshold_uncertainty_score":0.51171196},"labels":[],"label_agreement":null},{"id":"W4402772891","doi":"10.1109/icjece.2024.3446351","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Engineering; Computer science","score_opus":0.0069321441668636265,"score_gpt":0.19239278391233058,"score_spread":0.18546063974546695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402772891","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":[0.13734172,0.035418104,0.82495326,0.00009555326,0.0020028988,0.000089508,0.000005529956,0.00004530521,0.00004812596],"genre_scores_gemma":[0.99253994,0.00017649609,0.0054987213,0.000027817861,0.0016913165,9.975571e-7,5.0435e-7,0.000051677416,0.000012549753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983556,0.000018719684,0.00057027524,0.0001492027,0.0002097369,0.00069644436],"domain_scores_gemma":[0.9978691,0.00020869687,0.00004913488,0.00007318124,0.00015923174,0.0016406759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034234,0.0002477851,0.0004356431,0.0011537597,0.00009291275,0.00039551628,0.00022126292,0.0001361013,0.000008351611],"category_scores_gemma":[0.00005033368,0.00022128085,0.00010988475,0.00058181334,0.00003527328,0.00034610246,0.000009028463,0.001026798,0.0000013025021],"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":[0.000010794414,0.00000941547,0.0009781737,0.0007997131,0.00055136054,0.005052414,0.0007963519,0.81168884,0.0030206277,0.0025252437,0.0058063716,0.16876067],"study_design_scores_gemma":[0.00022379219,0.00026145097,0.00083082466,0.0005143871,0.00002665909,0.003596382,0.0000030781605,0.9708799,0.0003204253,0.00007651194,0.023000496,0.00026608066],"about_ca_topic_score_codex":0.0005294604,"about_ca_topic_score_gemma":0.0004208678,"teacher_disagreement_score":0.8551982,"about_ca_system_score_codex":0.0002915652,"about_ca_system_score_gemma":0.00070059905,"threshold_uncertainty_score":0.9023571},"labels":[],"label_agreement":null},{"id":"W4404370859","doi":"10.1109/mcas.2024.3427029","title":"Reflections and Visions: Insights From IEEE CASS Past Presidents [Special Section on the 75th Anniversary of the IEEE Circuits and Systems Society]","year":2024,"lang":"en","type":"article","venue":"IEEE Circuits and Systems Magazine","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Special section; Section (typography); Electronic circuit; Computer science; Electrical engineering; Engineering; Engineering physics; Operating system","score_opus":0.03948252240985097,"score_gpt":0.28325815044950264,"score_spread":0.24377562803965167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404370859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92166364,0.031303003,0.011826408,0.0001362552,0.020019997,0.0019354312,0.0002634708,0.00032242335,0.012529342],"genre_scores_gemma":[0.99392706,0.0006259965,0.000002982173,0.00001733882,0.0041648243,0.000060382838,0.000002867367,0.00005590937,0.0011426301],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99799,0.00017979441,0.0005135019,0.00046378397,0.0005312149,0.0003217143],"domain_scores_gemma":[0.9988392,0.0004495997,0.00011255468,0.0003182444,0.00013671136,0.00014369647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038237442,0.000304346,0.00041457024,0.00012930218,0.00057295075,0.00047803024,0.000175894,0.00020964134,0.0000038626717],"category_scores_gemma":[0.00002998237,0.00019050708,0.000093196584,0.0004262437,0.00018024005,0.00038667058,0.000028945537,0.0005291896,0.0000066847488],"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":[0.000030008016,0.00010269561,0.0010317158,0.007373972,0.0012829256,0.00012902814,0.018062552,0.08067949,0.8111364,0.0018888575,0.06997499,0.008307359],"study_design_scores_gemma":[0.004819498,0.0011863263,0.023185939,0.03221366,0.000822023,0.0017064626,0.021744724,0.75562805,0.014153655,0.0029728785,0.13791583,0.0036509682],"about_ca_topic_score_codex":0.0002179631,"about_ca_topic_score_gemma":0.000044575503,"teacher_disagreement_score":0.79698277,"about_ca_system_score_codex":0.00015484811,"about_ca_system_score_gemma":0.000063922904,"threshold_uncertainty_score":0.7768653},"labels":[],"label_agreement":null},{"id":"W4404726943","doi":"10.1016/j.jnt.2024.10.007","title":"Representation functions in the set of natural numbers","year":2024,"lang":"en","type":"article","venue":"Journal of Number Theory","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Anhui Province; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; University Natural Science Research Project of Anhui Province; Mount Allison University; Magyar Tudományos Akadémia; National Natural Science Foundation of China","keywords":"Mathematics; Natural number; Representation (politics); Set (abstract data type); Natural (archaeology); Algebra over a field; Discrete mathematics; Arithmetic; Pure mathematics; Combinatorics; Computer science; Programming language","score_opus":0.0209113282070147,"score_gpt":0.3249576119792074,"score_spread":0.3040462837721927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404726943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7885454,0.014302618,0.08682585,0.0006425568,0.0047324332,0.00031565494,0.000057805493,0.000106392195,0.10447129],"genre_scores_gemma":[0.9991619,0.000033820943,0.00017260725,0.0000098761075,0.000254996,0.0000020524965,0.0000016172037,0.0000100336965,0.0003531056],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992526,0.00011073812,0.00027686657,0.00004107992,0.00022657789,0.000092117196],"domain_scores_gemma":[0.9993226,0.0004919706,0.000043204644,0.000067683744,0.00005396253,0.000020591802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008825217,0.000050544102,0.00010673432,0.00007823829,0.000022742885,0.000034531306,0.00011093374,0.00002560472,0.0001924186],"category_scores_gemma":[0.0001024159,0.00003081937,0.00007648362,0.00030777283,0.00003494203,0.00028255058,0.000007201572,0.00036565744,0.000012706198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006902029,0.00017865282,0.007186964,0.0038675615,0.0014944982,0.0020362341,0.051926598,0.2658809,0.078281246,0.054471157,0.2208846,0.31310135],"study_design_scores_gemma":[0.0031048923,0.00037900356,0.01160998,0.008750517,0.00029645034,0.010028893,0.11146453,0.10659751,0.012333112,0.506642,0.22752579,0.0012673475],"about_ca_topic_score_codex":0.000002655027,"about_ca_topic_score_gemma":0.0000018111043,"teacher_disagreement_score":0.45217082,"about_ca_system_score_codex":0.000037895814,"about_ca_system_score_gemma":0.000023631821,"threshold_uncertainty_score":0.21068488},"labels":[],"label_agreement":null},{"id":"W4405518178","doi":"10.1109/icjece.2024.3498395","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Computer science; Engineering; Electrical engineering","score_opus":0.0069321441668636265,"score_gpt":0.19239278391233058,"score_spread":0.18546063974546695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405518178","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":[0.13734172,0.035418104,0.82495326,0.00009555326,0.0020028988,0.000089508,0.000005529956,0.00004530521,0.00004812596],"genre_scores_gemma":[0.99253994,0.00017649609,0.0054987213,0.000027817861,0.0016913165,9.975571e-7,5.0435e-7,0.000051677416,0.000012549753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983556,0.000018719684,0.00057027524,0.0001492027,0.0002097369,0.00069644436],"domain_scores_gemma":[0.9978691,0.00020869687,0.00004913488,0.00007318124,0.00015923174,0.0016406759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034234,0.0002477851,0.0004356431,0.0011537597,0.00009291275,0.00039551628,0.00022126292,0.0001361013,0.000008351611],"category_scores_gemma":[0.00005033368,0.00022128085,0.00010988475,0.00058181334,0.00003527328,0.00034610246,0.000009028463,0.001026798,0.0000013025021],"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":[0.000010794414,0.00000941547,0.0009781737,0.0007997131,0.00055136054,0.005052414,0.0007963519,0.81168884,0.0030206277,0.0025252437,0.0058063716,0.16876067],"study_design_scores_gemma":[0.00022379219,0.00026145097,0.00083082466,0.0005143871,0.00002665909,0.003596382,0.0000030781605,0.9708799,0.0003204253,0.00007651194,0.023000496,0.00026608066],"about_ca_topic_score_codex":0.0005294604,"about_ca_topic_score_gemma":0.0004208678,"teacher_disagreement_score":0.8551982,"about_ca_system_score_codex":0.0002915652,"about_ca_system_score_gemma":0.00070059905,"threshold_uncertainty_score":0.9023571},"labels":[],"label_agreement":null},{"id":"W4405521791","doi":"10.1109/ict-dm62768.2024.10798948","title":"On Achieving Cyber Resilience in Digitalized Rail Transit Control Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SR Research (Canada)","funders":"","keywords":"Resilience (materials science); Computer science; Computer security; Rail transit; Control (management); Transit (satellite); Transport engineering; Public transport; Engineering; Physics; Artificial intelligence","score_opus":0.010288967138766389,"score_gpt":0.2562436126789179,"score_spread":0.24595464554015148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405521791","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":[0.07546026,0.008814507,0.7814891,0.00012227434,0.0007820255,0.00054556027,0.000012827316,0.0009859538,0.13178751],"genre_scores_gemma":[0.9983254,0.000027449549,0.00004792082,0.000016063348,0.00006941649,0.000037994232,9.374156e-7,0.00003104211,0.0014437517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989686,0.000031302505,0.00025379143,0.00019699229,0.00024442133,0.00030491655],"domain_scores_gemma":[0.9995349,0.0002521958,0.00000653026,0.0001163574,0.000016249574,0.00007378195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028516824,0.00012735791,0.00019539094,0.00014373385,0.000035597892,0.00024031744,0.00010853281,0.000056048193,0.000027692444],"category_scores_gemma":[0.000041648862,0.00009671694,0.00004265029,0.00027180553,0.00002410914,0.00034539824,0.000005984474,0.00023980856,0.000066048764],"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":[0.000025896636,0.000010958409,0.000050921557,0.0008737014,0.000028597275,0.000180859,0.00025578667,0.96096385,0.014791077,0.011664572,0.00066243956,0.0104913525],"study_design_scores_gemma":[0.0005988293,0.000042792773,0.00006793002,0.0016219651,0.0000036513425,0.00001966708,0.00022873418,0.988698,0.0005221452,0.00061033055,0.0073257927,0.0002601762],"about_ca_topic_score_codex":0.000020295323,"about_ca_topic_score_gemma":0.000006985152,"teacher_disagreement_score":0.92286515,"about_ca_system_score_codex":0.00009103904,"about_ca_system_score_gemma":0.00001919522,"threshold_uncertainty_score":0.39440024},"labels":[],"label_agreement":null},{"id":"W4406046306","doi":"10.18280/ijsse.140608","title":"A New Approach to Improving the Security of the 5G-AKA Using Crystals-Kyber Post-Quantum Technologies and ASCON Algorithm","year":2024,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Advanced Research in Systems and Signal Processing","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":"AKA; Computer science; Algorithm; Quantum; Computer security; Physics; Quantum mechanics","score_opus":0.00891779374213851,"score_gpt":0.24313543774739263,"score_spread":0.23421764400525413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406046306","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":[0.15250172,0.015147358,0.8294116,0.00085049286,0.0013065196,0.00026503587,0.00005271477,0.00013081988,0.0003337109],"genre_scores_gemma":[0.9951784,0.00031677345,0.004235488,0.000009371772,0.00022594519,0.0000012774124,5.6022503e-7,0.000019838586,0.000012354867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892455,0.000017200087,0.00038859504,0.00012187804,0.00037842928,0.00016931897],"domain_scores_gemma":[0.99947697,0.00013142155,0.000066201144,0.00009503627,0.00016477455,0.00006560842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050994824,0.00013853233,0.00019460483,0.00017712032,0.000066153196,0.00014288013,0.00033287876,0.00007548247,0.0000044543954],"category_scores_gemma":[0.00015625647,0.00008765472,0.000079518875,0.00019753927,0.000049197857,0.00035335548,0.00014513337,0.0005310302,3.230098e-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":[0.0001576352,0.000050704708,0.0000761121,0.0019304618,0.0010800151,0.00010717064,0.014034016,0.47649282,0.13384412,0.013867757,0.00017313068,0.35818607],"study_design_scores_gemma":[0.00021648192,0.000030134202,0.00011080728,0.0008440285,0.000024876597,0.0007028656,0.0012422126,0.98617405,0.0037421791,0.0015048138,0.0052535613,0.00015397213],"about_ca_topic_score_codex":0.00002743144,"about_ca_topic_score_gemma":0.0000011969535,"teacher_disagreement_score":0.8426767,"about_ca_system_score_codex":0.00008562174,"about_ca_system_score_gemma":0.000055396427,"threshold_uncertainty_score":0.35744557},"labels":[],"label_agreement":null},{"id":"W4407129740","doi":"10.1109/prdc63035.2024.00038","title":"Comparative Studies of Security Assessment Methods for Railway Control Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SR Research (Canada)","funders":"","keywords":"Computer science; Control (management); Artificial intelligence","score_opus":0.10496662734065161,"score_gpt":0.49773131963630685,"score_spread":0.39276469229565525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407129740","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":[0.00082883076,0.038503863,0.9525937,0.000021983858,0.00066132896,0.00051362324,0.000020815067,0.00017871273,0.0066771484],"genre_scores_gemma":[0.9715446,0.00007974122,0.027817918,0.000002868143,0.000098888515,0.0002015601,0.0000013251545,0.000014759756,0.00023829275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919665,0.00008839065,0.0002909489,0.00012742374,0.00012052591,0.0001760844],"domain_scores_gemma":[0.9985851,0.0011042185,0.000020581432,0.00008177376,0.00016619614,0.00004213668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009613422,0.00010688641,0.0004228685,0.000064897315,0.00004745787,0.000048173424,0.00006966614,0.000034435012,0.000006560449],"category_scores_gemma":[0.00003554026,0.000074294774,0.00006595911,0.00012058083,0.00004975544,0.0001358227,0.000013545375,0.00011507176,0.0000016129318],"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":[0.00005420558,0.000068666675,0.00004272375,0.03710575,0.004805917,0.000013529775,0.010353051,0.5459666,0.21474114,0.13487017,0.0148193985,0.03715881],"study_design_scores_gemma":[0.00023515949,0.000061859704,0.0000022805452,0.00033025583,0.000020465879,0.0000024252997,0.0032856835,0.970497,0.006704096,0.002834107,0.015926197,0.00010045904],"about_ca_topic_score_codex":0.000004028174,"about_ca_topic_score_gemma":9.502119e-7,"teacher_disagreement_score":0.9707158,"about_ca_system_score_codex":0.000079504855,"about_ca_system_score_gemma":0.000029869234,"threshold_uncertainty_score":0.30296528},"labels":[],"label_agreement":null},{"id":"W4407911901","doi":"10.20998/2522-9052.2025.1.07","title":"EFFICIENCY AND RELIABILITY OF MULTI-OBJECT CONTROL METHODS IN COMPLEX NETWORKS","year":2025,"lang":"en","type":"article","venue":"Advanced Information Systems","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reliability (semiconductor); Computer science; Reliability engineering; Object (grammar); Control (management); Artificial intelligence; Engineering","score_opus":0.015333417349518402,"score_gpt":0.3322270908282194,"score_spread":0.316893673478701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407911901","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":[0.0046909037,0.0014155159,0.9886389,0.0000060545754,0.00026452454,0.00056215836,0.000007391838,0.00008315384,0.0043313904],"genre_scores_gemma":[0.98635197,0.00006759325,0.013455696,0.000015651374,0.000009052113,0.000066664696,0.0000061689034,0.0000058568644,0.000021372669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986827,0.00010585751,0.00077612366,0.00009127097,0.00012831284,0.00021575154],"domain_scores_gemma":[0.99924934,0.0002701863,0.00011102738,0.00017046102,0.00015710415,0.000041888405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009990722,0.000117511394,0.00033255536,0.00020912247,0.000056104607,0.0000378108,0.000102192855,0.00007602688,0.0000014743138],"category_scores_gemma":[0.00021886277,0.00010402674,0.000027938673,0.00044885455,0.000057902973,0.0008585695,0.000022392562,0.00016798994,0.0000011959169],"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":[0.000014271233,0.0000060519556,0.0007330384,0.0007617558,0.0000058937358,1.5409583e-7,0.00018831262,0.973035,0.0010756187,0.00033713,0.0000143681455,0.023828441],"study_design_scores_gemma":[0.0010228276,0.000016622616,0.001795281,0.00022472463,0.0000023688408,0.0000016446378,0.00058003026,0.9914984,0.00025686857,0.000034648747,0.0044734576,0.00009312878],"about_ca_topic_score_codex":0.00002521809,"about_ca_topic_score_gemma":0.0000014638462,"teacher_disagreement_score":0.981661,"about_ca_system_score_codex":0.00008505853,"about_ca_system_score_gemma":0.000020950296,"threshold_uncertainty_score":0.42420873},"labels":[],"label_agreement":null},{"id":"W4408281870","doi":"10.1109/iecon55916.2024.10905232","title":"Integration of Software-Defined Networking and Line Outage Distribution Factors for Enhancing the Cyber Resilience of Modern Transmission Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Resilience (materials science); Computer science; Software; Transmission (telecommunications); Transmission line; Software-defined networking; Line (geometry); Distributed computing; Computer network; Telecommunications; Operating system; Physics; Mathematics","score_opus":0.02288967058348853,"score_gpt":0.2771225201102309,"score_spread":0.2542328495267424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408281870","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":[0.07037229,0.0060940827,0.9229625,0.000010402046,0.00017089238,0.00024017318,0.00001960505,0.00008181951,0.00004826879],"genre_scores_gemma":[0.99865806,0.000104974104,0.0010219399,5.0666245e-7,0.000062340194,0.000015492718,0.000017890732,0.000014818122,0.000103949824],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992735,0.000019214893,0.0003119914,0.00011282781,0.00014785826,0.00013461088],"domain_scores_gemma":[0.9993929,0.00040890096,0.00003193754,0.00007255872,0.00006333786,0.000030319721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036019855,0.0000884021,0.0001529409,0.000033122564,0.00006593866,0.000041774612,0.000057960504,0.000051909432,0.0000012721608],"category_scores_gemma":[0.00006428899,0.000051023882,0.000039147188,0.00013637696,0.000034770717,0.00015749986,0.000009378028,0.00009986293,8.398048e-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":[0.000019672081,0.0000061070214,0.000053483476,0.002537292,0.000028171322,5.614965e-7,0.0014220139,0.33888647,0.53925097,0.00097366655,0.000048864327,0.11677271],"study_design_scores_gemma":[0.000061159844,0.000034698416,0.000037100694,0.0010687716,0.000009254832,0.0000013424416,0.00033083803,0.9375488,0.059835643,0.0005549609,0.00045512902,0.00006225826],"about_ca_topic_score_codex":0.000024071966,"about_ca_topic_score_gemma":0.000009595635,"teacher_disagreement_score":0.9282858,"about_ca_system_score_codex":0.000030862077,"about_ca_system_score_gemma":0.000016350488,"threshold_uncertainty_score":0.20806935},"labels":[],"label_agreement":null},{"id":"W4408325137","doi":"10.1109/globecom52923.2024.10901566","title":"“Less Knowledge is Less” - An Empirical Study of Intelligent Traffic Signal Network Efficiency Under Partial Information","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Empirical research; Intelligent Network; SIGNAL (programming language); Computer network; Statistics; Mathematics","score_opus":0.06361446297097846,"score_gpt":0.354242441797545,"score_spread":0.29062797882656655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408325137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59876156,0.00079470105,0.39783245,0.0000105050985,0.0003148487,0.00023836004,0.0000020766938,0.00023935852,0.0018061332],"genre_scores_gemma":[0.99949574,0.000013719928,0.00012294247,0.000011706131,0.00023676388,0.00002120796,0.0000044957237,0.000019348801,0.00007406627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871224,0.0000542244,0.00046994395,0.00015087334,0.00030324623,0.00030947474],"domain_scores_gemma":[0.9995636,0.00008545972,0.000021671338,0.00013503025,0.000078485034,0.00011577226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038773892,0.0001461348,0.00019713806,0.00012108344,0.00008858873,0.0001300441,0.00015683315,0.000071988834,0.00008929434],"category_scores_gemma":[0.000005520804,0.00011330677,0.000048667225,0.00050464435,0.000037073223,0.00056741404,0.00003836602,0.0002398959,0.000038776332],"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":[0.0000099057,0.00013237183,0.000089891066,0.00028940506,0.000037247628,0.0000028115421,0.007482261,0.8935633,0.000076151286,0.000153576,0.0008243201,0.097338766],"study_design_scores_gemma":[0.00015182671,0.00028102423,0.000070372254,0.00012755823,0.000010785591,0.000003256056,0.012544567,0.9836935,0.00066972035,0.00008274297,0.0022075586,0.00015709917],"about_ca_topic_score_codex":0.000008890159,"about_ca_topic_score_gemma":0.000020977352,"teacher_disagreement_score":0.4007342,"about_ca_system_score_codex":0.000068338064,"about_ca_system_score_gemma":0.0000607494,"threshold_uncertainty_score":0.4620516},"labels":[],"label_agreement":null},{"id":"W4408534506","doi":"10.3390/a18030170","title":"Investigations into the Design and Implementation of Reinforcement Learning Using Deep Learning Neural Networks","year":2025,"lang":"en","type":"article","venue":"Algorithms","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"John Abbott College; Concordia University","funders":"","keywords":"Reinforcement learning; Computer science; Artificial neural network; Artificial intelligence; Deep learning; Machine learning; Deep neural networks","score_opus":0.021880674094617594,"score_gpt":0.3093974119279932,"score_spread":0.2875167378333756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408534506","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":[0.031696863,0.0015546895,0.96626836,0.000031469277,0.00008643132,0.00020131333,5.6244502e-8,0.000051116967,0.00010967211],"genre_scores_gemma":[0.98361444,0.000111070105,0.016132185,0.000013898914,0.00004324466,0.000020605054,0.0000033995136,0.000012056275,0.000049071525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929816,0.00008260161,0.00022995491,0.00009421111,0.00012017412,0.00017487377],"domain_scores_gemma":[0.9996397,0.00015778322,0.00004969295,0.00006256619,0.000055368713,0.00003489684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036483686,0.000085520194,0.00010680966,0.00007155423,0.00033448698,0.000049594204,0.00006988827,0.000033156764,0.000006389325],"category_scores_gemma":[0.000038551534,0.00006841352,0.000019391242,0.0002657003,0.00006503401,0.000158138,0.000044386856,0.0002551542,2.1562742e-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":[0.0000013691678,6.3975347e-7,0.00046603166,0.00004521429,0.000022629585,6.7396655e-7,0.0009211946,0.8898236,0.001902931,0.00010283901,0.0000045924803,0.10670826],"study_design_scores_gemma":[0.00016381317,0.000026215142,0.000113551665,0.00005386242,0.000012462447,0.0000022988982,0.0019870682,0.9953464,0.0017297128,0.00026523988,0.0002362206,0.0000631179],"about_ca_topic_score_codex":0.000100860634,"about_ca_topic_score_gemma":0.000004742059,"teacher_disagreement_score":0.9519176,"about_ca_system_score_codex":0.000046612073,"about_ca_system_score_gemma":0.000018208146,"threshold_uncertainty_score":0.27898225},"labels":[],"label_agreement":null},{"id":"W4408563912","doi":"10.1109/icjece.2025.3539555","title":"IEEE Canadian Journal of Electrical and Computer Engineering","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Research in Systems and Signal Processing","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":true,"ca_institutions":"","funders":"","keywords":"Computer science; Engineering; Electrical engineering","score_opus":0.005436509916589655,"score_gpt":0.19132824959226732,"score_spread":0.18589173967567768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408563912","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":[0.14260359,0.014043864,0.8416989,0.00009939165,0.0013499471,0.00009270654,0.0000032731455,0.000024145258,0.00008418683],"genre_scores_gemma":[0.99254113,0.00012042836,0.0064352374,0.000056488127,0.0007961583,0.0000010690001,4.0508678e-7,0.000030758463,0.00001831868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983879,0.0000212091,0.00060334464,0.0001352681,0.00017316901,0.00067916233],"domain_scores_gemma":[0.9981227,0.00019602038,0.00007451444,0.0000850283,0.0002255441,0.0012962165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003172047,0.00023840649,0.00048561656,0.0012345448,0.00011937972,0.00022390977,0.00025857688,0.00014160713,0.000004971571],"category_scores_gemma":[0.00007770039,0.00022167497,0.000097434146,0.00063090597,0.000037934027,0.00024948106,0.00001122074,0.0008939451,4.963114e-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":[0.00001726887,0.000013805008,0.0037451442,0.00049999583,0.00051315466,0.001482699,0.00040832727,0.8608845,0.0024379846,0.0028881922,0.0053996076,0.12170931],"study_design_scores_gemma":[0.0005253369,0.00024569477,0.0034973149,0.00048685822,0.000032639495,0.0012961923,0.000004395959,0.974976,0.0005649011,0.000118537064,0.017961713,0.0002903956],"about_ca_topic_score_codex":0.00064350193,"about_ca_topic_score_gemma":0.00060369784,"teacher_disagreement_score":0.84993756,"about_ca_system_score_codex":0.0002922295,"about_ca_system_score_gemma":0.00076665066,"threshold_uncertainty_score":0.9039643},"labels":[],"label_agreement":null},{"id":"W4408897262","doi":"10.1109/icmlc63072.2024.10935257","title":"The Bifurcation Method: White-Box Observation Perturbation Attacks on Reinforcement Learning Agents on a Cyber Physical System","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Royal Military College of Canada","funders":"","keywords":"White box; Reinforcement learning; Bifurcation; Cyber-physical system; Computer science; Perturbation (astronomy); Reinforcement; Artificial intelligence; Control theory (sociology); Physics; Engineering; Machine learning; Structural engineering; Nonlinear system; Operating system; Quantum mechanics","score_opus":0.03741217608528022,"score_gpt":0.32869465720462326,"score_spread":0.2912824811193431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408897262","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":[0.02312984,0.0002072345,0.9030703,0.00039201856,0.0007967198,0.00054144335,9.668346e-7,0.0010136592,0.07084782],"genre_scores_gemma":[0.9868093,0.000020156262,0.0005689262,0.000025043322,0.00034521162,0.00009475966,0.00001695515,0.00003773913,0.012081883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998777,0.000077874814,0.00023337587,0.00020566916,0.00047072643,0.0002354064],"domain_scores_gemma":[0.99938726,0.0003047336,0.000030648087,0.00015406714,0.00006885033,0.00005443827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053040334,0.00014801284,0.00011566555,0.00008215724,0.00030026052,0.00026542257,0.00009822073,0.00005416786,0.000013293152],"category_scores_gemma":[0.0000621838,0.00009273142,0.000060431146,0.00027396966,0.000012102794,0.00024170046,0.00001640815,0.00033401797,0.00014596943],"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":[0.0000129809505,0.0000056921713,0.000015830146,0.00030335592,0.000034099456,0.0000025611064,0.0006858426,0.9397867,0.0024466035,0.020273775,0.00094627246,0.035486292],"study_design_scores_gemma":[0.00008044736,0.000082667204,0.00009696539,0.00043971825,0.000006728827,0.0000016254066,0.0004893375,0.9753643,0.003065947,0.00014802633,0.020110471,0.000113764945],"about_ca_topic_score_codex":0.000005338388,"about_ca_topic_score_gemma":7.177996e-7,"teacher_disagreement_score":0.9636795,"about_ca_system_score_codex":0.0003678716,"about_ca_system_score_gemma":0.00001778175,"threshold_uncertainty_score":0.37814775},"labels":[],"label_agreement":null},{"id":"W4411658942","doi":"10.51847/8mgvsmztrw","title":"10.51847/8mGVsMZtRw","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Advanced Research in Systems and Signal Processing","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":"Multivariate statistics; Mode (computer interface); Computer science; Multivariate analysis; Econometrics; Mathematics; Machine learning; Human–computer interaction","score_opus":0.00797652557925778,"score_gpt":0.2015588755278133,"score_spread":0.1935823499485555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411658942","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006124375,0.00022327322,0.00012577344,0.000022762275,0.0000030857377,0.000090533504,0.0000035217183,0.0003101816,0.9986084],"genre_scores_gemma":[0.007049026,7.082732e-7,0.00031108301,0.0000086397895,0.00013591972,0.000013595354,0.0000023080147,0.00003085528,0.99244785],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993478,0.0000104091405,0.00012015233,0.000108537926,0.000149565,0.00026351627],"domain_scores_gemma":[0.9996834,0.000023607696,0.0000052261,0.0001331967,0.000022236942,0.00013237062],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009535766,0.000091055386,0.000109057306,0.000046822992,0.00006142727,0.00004009182,0.00012387562,0.000036121826,0.9519228],"category_scores_gemma":[0.000013851971,0.000085749096,0.000026457641,0.00015991658,0.000013156921,0.000110458,0.000012383511,0.00009804884,0.92881614],"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":[0.0000084112535,0.0000042272227,4.2667168e-8,0.000025558493,0.000007520045,0.0000071829118,0.0000127345675,0.029981693,0.00093746366,5.747175e-7,0.008735137,0.96027946],"study_design_scores_gemma":[0.000074154465,0.00002722226,0.0000025710121,0.00003602015,0.0000015300811,0.000006057477,8.036687e-7,0.012062968,0.00017247847,0.000004729825,0.98749596,0.00011550963],"about_ca_topic_score_codex":0.0000025855622,"about_ca_topic_score_gemma":1.957161e-8,"teacher_disagreement_score":0.97876084,"about_ca_system_score_codex":0.000033302153,"about_ca_system_score_gemma":0.00000777165,"threshold_uncertainty_score":0.34967467},"labels":[],"label_agreement":null},{"id":"W4412234173","doi":"","title":"The MAS-AI model: Model of ASsement of Artificial Intelligence.","year":2023,"lang":"en","type":"article","venue":"University of Southern Denmark Research Portal (University of Southern Denmark)","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Artificial intelligence; Computer science","score_opus":0.06525642807869596,"score_gpt":0.28365485100648863,"score_spread":0.21839842292779266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412234173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8661763,0.0003376152,0.115938194,0.00018592623,0.00006692616,0.0006961181,0.0013459306,0.00010756037,0.015145397],"genre_scores_gemma":[0.9926209,0.00035968696,0.0013001958,0.0000012511407,0.000020292795,2.4747877e-7,0.000014607873,0.000041991017,0.0056408527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99670744,0.00019075218,0.00044395166,0.00035829685,0.0016033024,0.0006962312],"domain_scores_gemma":[0.99768585,0.00034775614,0.0002839417,0.00056244666,0.00089268066,0.0002273469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022660443,0.00023084859,0.0005265741,0.0006482265,0.00055639044,0.000019581536,0.0013313501,0.00022035166,0.00053858716],"category_scores_gemma":[0.00009861716,0.00024311841,0.00031701557,0.001205255,0.0014705034,0.00020464655,0.00054396765,0.00061835395,0.00020287743],"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":[0.0010406884,0.0002920895,0.0018981063,0.0016096043,0.00090488995,0.0001795494,0.036878947,0.8619859,0.05936899,0.004126034,0.002922801,0.028792387],"study_design_scores_gemma":[0.00029213025,0.00009957166,0.000030238683,0.00026280867,0.00004179202,0.0000015587017,0.23670584,0.7540096,0.0016670323,0.006466554,0.00019399381,0.0002288754],"about_ca_topic_score_codex":0.0005926216,"about_ca_topic_score_gemma":0.0005288215,"teacher_disagreement_score":0.1998269,"about_ca_system_score_codex":0.000084924424,"about_ca_system_score_gemma":0.000307974,"threshold_uncertainty_score":0.9914081},"labels":[],"label_agreement":null},{"id":"W4413210842","doi":"10.2139/ssrn.5380553","title":"The Impact of AI on Competition Across Business Functions ","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Competition (biology); Business; Industrial organization; Biology","score_opus":0.015750972447234727,"score_gpt":0.3351473165381729,"score_spread":0.3193963440909382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413210842","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":[0.20582324,0.019535553,0.7662615,0.00037679047,0.0022369726,0.00050764525,0.00014511867,0.00018350198,0.0049296683],"genre_scores_gemma":[0.99056536,0.0066775717,0.000027628765,0.0000064024434,0.0005237864,0.000016043361,0.000023168332,0.000034424258,0.002125608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970699,0.000096538824,0.0004879499,0.00019064352,0.00039906605,0.0017558831],"domain_scores_gemma":[0.9987851,0.00014877373,0.0001812649,0.00033108413,0.00048359274,0.00007019095],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0016321843,0.00028022248,0.0003489318,0.00013242096,0.000529646,0.0001986482,0.00044545069,0.00020174148,0.0000112056505],"category_scores_gemma":[0.00012319947,0.00018403635,0.00028230977,0.00031976512,0.000086230575,0.00011588669,0.000121265155,0.0059677213,0.000011526152],"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":[0.000118327494,0.00003872238,0.00017015912,0.00027505044,0.0006555102,0.0000016922098,0.00012410904,0.9538706,0.00067935744,0.0070194076,0.00046789512,0.036579188],"study_design_scores_gemma":[0.0028485488,0.0008947636,0.003908558,0.006991735,0.00016586688,0.00079775316,0.0035218995,0.044379484,0.000750729,0.91507226,0.01873209,0.0019363189],"about_ca_topic_score_codex":0.000110109766,"about_ca_topic_score_gemma":0.00025587968,"teacher_disagreement_score":0.9094911,"about_ca_system_score_codex":0.0020659673,"about_ca_system_score_gemma":0.0025794015,"threshold_uncertainty_score":0.99632555},"labels":[],"label_agreement":null},{"id":"W4414522712","doi":"10.20944/preprints202509.2011.v1","title":"Constrained Object Hierarchies as a Unified Theoretical Model for Intelligence and Intelligent Systems","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Athabasca University","keywords":"Connectionism; Artificial general intelligence; Object (grammar); Intelligent decision support system; Modular design; Intelligent agent; Artificial neural network; Constraint (computer-aided design); Knowledge representation and reasoning","score_opus":0.12342497877745992,"score_gpt":0.3709669022649882,"score_spread":0.24754192348752826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414522712","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":[0.041834734,0.002157671,0.92720085,0.000082515726,0.0007799204,0.0021431292,0.00013521795,0.0005247008,0.025141256],"genre_scores_gemma":[0.9942098,0.0009436487,0.0018273803,0.000017551652,0.00013898459,0.00078093813,0.000025707941,0.000060979673,0.0019950003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972184,0.00011741416,0.0008164242,0.0008775486,0.00036239956,0.0006078601],"domain_scores_gemma":[0.9980715,0.00055851776,0.00011402676,0.0007340844,0.00026423673,0.00025765097],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010792011,0.0005176509,0.0007432249,0.00029507303,0.00017377296,0.00012204066,0.000632391,0.0004336733,0.000045142933],"category_scores_gemma":[0.00066579867,0.0004915444,0.00018076543,0.00015599756,0.0005736183,0.0000969781,0.0010335878,0.0011625723,0.000033037846],"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":[0.00009560619,0.000032102766,0.00039313876,0.0052419943,0.00024302286,0.000009703462,0.0016547327,0.8154234,0.0013452604,0.17209326,0.00001685897,0.0034509173],"study_design_scores_gemma":[0.00013054885,0.00002127937,0.00001876399,0.0012540818,0.000040983094,0.000014854523,0.0004976404,0.8632844,0.011293793,0.12255369,0.00044386677,0.00044609676],"about_ca_topic_score_codex":0.000032166558,"about_ca_topic_score_gemma":0.000002682982,"teacher_disagreement_score":0.95237505,"about_ca_system_score_codex":0.00017946491,"about_ca_system_score_gemma":0.0003245065,"threshold_uncertainty_score":0.9997536},"labels":[],"label_agreement":null},{"id":"W4414700865","doi":"10.1145/3759179.3759189","title":"Dual Logic Analysis of EU Digital and Intelligent Policies Based on Improved Fuzzy C-Means Clustering","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Fuzzy logic; Normative; Cluster analysis; Construct (python library); Index (typography); Geopolitics; Fuzzy clustering","score_opus":0.0173787764473366,"score_gpt":0.28437513645473905,"score_spread":0.26699636000740246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414700865","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":[0.054213934,0.00022341215,0.88316,0.00010481581,0.000084471685,0.00015137311,0.00002837466,0.00014644084,0.061887186],"genre_scores_gemma":[0.9988814,0.000015208753,0.0006199028,0.000054987562,0.000014413206,0.0000054744687,0.0000045108095,0.000008245815,0.00039583188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993404,0.000008929253,0.00022572406,0.00012862735,0.00011479714,0.00018149863],"domain_scores_gemma":[0.999656,0.00010421312,0.000020327396,0.00012756592,0.000042321928,0.00004954259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000099864,0.00010614742,0.00023047239,0.00039810952,0.00004285194,0.00007136757,0.00006488828,0.00004086124,0.0000134420325],"category_scores_gemma":[0.00004779966,0.000083223684,0.00006732165,0.00057250547,0.00004504969,0.000093724346,0.00004273646,0.00008954223,8.9343473e-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":[0.00003058069,0.000028053419,0.00085901225,0.0003669611,0.00038880977,0.000002712075,0.00014940709,0.95324856,0.015847387,0.0012278011,0.000051402396,0.027799312],"study_design_scores_gemma":[0.000094998024,0.000045522956,0.00032766195,0.0000644716,0.000038669936,2.3702577e-7,0.00029738003,0.9936648,0.0048614545,0.00016557689,0.00034853775,0.000090701804],"about_ca_topic_score_codex":0.000029133513,"about_ca_topic_score_gemma":0.000020679978,"teacher_disagreement_score":0.9446675,"about_ca_system_score_codex":0.0000391211,"about_ca_system_score_gemma":0.000012940026,"threshold_uncertainty_score":0.33937633},"labels":[],"label_agreement":null},{"id":"W4414714466","doi":"10.1016/j.cjca.2025.08.099","title":"P136 T WAVE MEMORY PRECLUDES ECG CRITERIA TO ASCERTAIN IF THE CONDUCTION SYSTEM PACING LEAD HAS REACHED THE LEFT BUNDLE AREA","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Advanced Research in Systems and Signal Processing","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":"Repolarization; Electrical conduction system of the heart; Lead (geology); Cardiac resynchronization therapy; Electrocardiography; Bundle branch block; Ventricular pacing; Dilated cardiomyopathy","score_opus":0.049017129041568464,"score_gpt":0.27222132546922206,"score_spread":0.2232041964276536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414714466","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":[0.2693946,0.013994016,0.6355219,0.009954559,0.010693845,0.0011897102,0.000053609627,0.00012758821,0.05907015],"genre_scores_gemma":[0.9986041,0.000015859867,0.0001650254,0.000079977784,0.00077042746,0.000009493126,0.000001347513,0.000019602923,0.00033417236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986044,0.00031334755,0.0004033012,0.00012470536,0.00013030028,0.000423947],"domain_scores_gemma":[0.9989224,0.00022426185,0.00007472479,0.00024510373,0.00029402145,0.00023947614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001237359,0.00014693281,0.0003967518,0.00022925583,0.00043839237,0.0001397673,0.00029956645,0.000114347225,0.0000065971167],"category_scores_gemma":[0.00036207933,0.00009005168,0.00012064017,0.00021779771,0.00015035337,0.00012566385,0.000018011775,0.0005070061,0.00000455847],"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":[0.00008809455,0.000002526729,0.0013480228,0.0007602984,0.0012614824,0.00030720385,0.0063116765,0.7967736,0.058635682,0.00085156935,0.08907454,0.0445853],"study_design_scores_gemma":[0.0020596301,0.00071646424,0.0049458896,0.00426711,0.00046644613,0.010284556,0.06979016,0.06429033,0.024622293,0.0033586118,0.81385034,0.0013481728],"about_ca_topic_score_codex":0.0006695769,"about_ca_topic_score_gemma":0.0015488475,"teacher_disagreement_score":0.73248327,"about_ca_system_score_codex":0.0005756475,"about_ca_system_score_gemma":0.00063878635,"threshold_uncertainty_score":0.3672201},"labels":[],"label_agreement":null},{"id":"W633543918","doi":"","title":"2004 IEEE International Symposium on Circuits and Systems : proceedings : May 23-26, 2004 Sheraton Vancouver Wall Centre Hotel Vancuver, British Columbia, Canada","year":2004,"lang":"en","type":"book","venue":"IEEE Operations Center eBooks","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Telecommunications; Engineering","score_opus":0.011032272400474804,"score_gpt":0.21305536651577908,"score_spread":0.20202309411530428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W633543918","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016756542,0.00482664,0.005197074,0.00015906492,0.042703714,0.0070718206,0.0037319132,0.001505054,0.9180482],"genre_scores_gemma":[0.21725088,0.00013912536,0.000067495566,0.0001967588,0.0012773441,0.00012914381,0.0001315478,0.00030607852,0.7805016],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965469,0.000028811408,0.00082076027,0.00080865755,0.0010240857,0.00077078905],"domain_scores_gemma":[0.9985415,0.00003997999,0.00012621631,0.0002800642,0.00060802285,0.0004042201],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001707493,0.00055765355,0.00064313144,0.0001228676,0.0004910072,0.0018102329,0.00045696337,0.0004252102,0.000053303753],"category_scores_gemma":[0.000014480715,0.0007802153,0.0001111351,0.00006527912,0.0001122901,0.00038335417,0.000043370135,0.0009757607,0.000016913724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019197492,0.00011784916,0.0002539023,0.0025999665,0.00073991506,0.0006337491,0.0009294041,0.19100381,0.002142929,0.0000967333,0.79628986,0.005172694],"study_design_scores_gemma":[0.003297516,0.00014187729,0.000022253731,0.010915268,0.00010029846,0.00040144913,0.00025173946,0.019154426,0.0007675768,0.00013545359,0.96252304,0.002289077],"about_ca_topic_score_codex":0.11042563,"about_ca_topic_score_gemma":0.80589837,"teacher_disagreement_score":0.6954727,"about_ca_system_score_codex":0.00439858,"about_ca_system_score_gemma":0.0018726205,"threshold_uncertainty_score":0.99946487},"labels":[],"label_agreement":null},{"id":"W6892854328","doi":"10.5281/zenodo.12085014","title":"Marpol pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Convention; Pollution; Protocol (science); Pollution prevention; Schedule; Scope (computer science)","score_opus":0.022651910496172125,"score_gpt":0.24006915397617856,"score_spread":0.21741724348000643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6892854328","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000030120605,0.0024960241,0.0099485675,0.000050036604,0.00034166744,0.0003240986,0.00021567663,0.0036158024,0.9830051],"genre_scores_gemma":[0.0038786314,0.0004964247,0.00031975267,0.000022863012,0.000899722,8.575732e-8,0.0007210469,0.020355275,0.9733062],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985216,0.000087231805,0.0002120639,0.00036626842,0.0003895174,0.00042330785],"domain_scores_gemma":[0.99928373,0.000008067785,0.00004338046,0.00037352875,0.0001080524,0.00018324431],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00030087415,0.00022653093,0.00021605124,0.0004365937,0.00040576787,0.0007799432,0.0007224622,0.00016954842,0.1004675],"category_scores_gemma":[0.00009991562,0.00022772988,0.000064804924,0.0004202007,0.00010469622,0.000092435344,0.0004912988,0.0005595366,0.17689967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029516395,0.000009695363,1.9017934e-8,0.00091666885,0.00006960021,0.00003764744,0.000077162455,0.00007568666,0.0005069333,0.00066866126,0.9455061,0.052128885],"study_design_scores_gemma":[0.00011403756,0.000035893878,5.4759965e-7,0.00041727314,0.000010949795,0.00006617068,0.000059879716,0.000747788,0.000057534096,0.00022021758,0.99802744,0.00024226935],"about_ca_topic_score_codex":0.0000073740503,"about_ca_topic_score_gemma":1.9865011e-7,"teacher_disagreement_score":0.076432176,"about_ca_system_score_codex":0.00014525178,"about_ca_system_score_gemma":0.0000021709466,"threshold_uncertainty_score":0.9286555},"labels":[],"label_agreement":null},{"id":"W6968749912","doi":"10.5281/zenodo.4306414","title":"Technical Appendix to Economic Methodology: A Bibliometric Perspective","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"","keywords":"Perspective (graphical); Bibliometrics","score_opus":0.07309054406669584,"score_gpt":0.313483683055948,"score_spread":0.24039313898925213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968749912","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000054038633,0.0009913136,0.14074153,0.00026109297,0.00018352375,0.0006399853,0.00041162848,0.0031724724,0.85359305],"genre_scores_gemma":[0.08933022,0.007621818,0.16293377,0.0013025013,0.01439674,0.0000047570625,0.009397583,0.20490836,0.51010424],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980759,0.00027510032,0.00026826304,0.00056451926,0.00032788495,0.00048831885],"domain_scores_gemma":[0.9989495,0.00005160117,0.00007627414,0.00039241664,0.00013770661,0.00039247077],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006347723,0.0002621404,0.0003844848,0.008678613,0.00049840513,0.00050407904,0.0011841967,0.0002112221,0.029524859],"category_scores_gemma":[0.0008120186,0.00027809976,0.00007961087,0.0073865717,0.00011030566,0.000106713866,0.0009169695,0.0006289502,0.037023082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016332691,0.000013554396,9.2343534e-8,0.00019348235,0.00006718265,0.000022875873,0.00015981235,0.0005627866,0.0027291565,0.0023065768,0.94659007,0.047338057],"study_design_scores_gemma":[0.00016316399,0.00013647681,0.0000041069693,0.000096202835,0.000010906846,0.000075896365,0.00021239134,0.0005717682,0.00015652114,0.00015221919,0.9981283,0.00029207367],"about_ca_topic_score_codex":0.000035384426,"about_ca_topic_score_gemma":9.341684e-7,"teacher_disagreement_score":0.34348878,"about_ca_system_score_codex":0.00053965737,"about_ca_system_score_gemma":0.0000065760537,"threshold_uncertainty_score":0.9999671},"labels":[],"label_agreement":null},{"id":"W6994611888","doi":"","title":"Era Novum","year":2021,"lang":"fr","type":"book","venue":"PhilPapers (PhilPapers Foundation)","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Population; ESPACE","score_opus":0.02595187700664129,"score_gpt":0.2695493136892916,"score_spread":0.2435974366826503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6994611888","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009908555,0.011196091,0.009434108,0.0055080093,0.0075789294,0.0013831424,0.00013040684,0.0008117644,0.9629667],"genre_scores_gemma":[0.16866553,0.009362083,0.024968088,0.0016124126,0.014363321,0.00055293494,0.0045013693,0.0016275537,0.7743467],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9918535,0.0003595414,0.0018629611,0.0018547124,0.0019960818,0.0020732132],"domain_scores_gemma":[0.99529606,0.00088311255,0.00052329863,0.0013905268,0.00097297505,0.00093405484],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00093112205,0.001736249,0.0017942863,0.0005808983,0.001503081,0.0009898868,0.0011327845,0.0012923206,0.01459318],"category_scores_gemma":[0.0005836745,0.0019434475,0.0007557439,0.0010117108,0.0011503478,0.0016436005,0.00036050903,0.0032926144,0.005267082],"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":[0.00012410035,0.0003854111,0.0003300052,0.009176685,0.0033182148,0.0013419167,0.0019017078,0.04524377,0.038144447,0.24550226,0.012628675,0.6419028],"study_design_scores_gemma":[0.0013195252,0.00014702493,0.00025238088,0.0028623098,0.00031914,0.000303589,0.00046286458,0.0037362971,0.00088216696,0.0069648684,0.9802817,0.0024680926],"about_ca_topic_score_codex":0.00012520074,"about_ca_topic_score_gemma":0.00013443426,"teacher_disagreement_score":0.96765304,"about_ca_system_score_codex":0.0034675696,"about_ca_system_score_gemma":0.0022898782,"threshold_uncertainty_score":0.9997968},"labels":[],"label_agreement":null},{"id":"W7160567038","doi":"","title":"Review of the global printed circuit board market","year":2006,"lang":"uk","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Printed circuit board; Production (economics); On board; Corrugated fiberboard; Circuit design","score_opus":0.19121093731376632,"score_gpt":0.5278387277867405,"score_spread":0.33662779047297414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160567038","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020552842,0.83262044,0.005706434,0.00027027927,0.0016555864,0.0017139097,0.00023461005,0.000064753134,0.13718113],"genre_scores_gemma":[0.8107529,0.18670392,0.00020342809,0.00023759188,0.00050709315,0.000047873637,0.000006414166,0.000108351596,0.0014323737],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99402845,0.0007039426,0.002295061,0.0005484295,0.0016004471,0.0008236505],"domain_scores_gemma":[0.99586827,0.0003560565,0.0015937401,0.0009900595,0.0008763666,0.00031550828],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00305855,0.00057967,0.0016348107,0.00029000887,0.00034231326,0.00090164854,0.004878922,0.00021248103,0.010224403],"category_scores_gemma":[0.00087283406,0.00044040827,0.00060590776,0.002420744,0.00032858117,0.0017776354,0.0015003793,0.00094018644,0.00001717925],"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":[0.000271557,0.00066841085,0.35283667,0.07813831,0.0012658602,0.00014772196,0.00009429203,0.006517349,0.064594485,0.0015028301,0.4113906,0.08257191],"study_design_scores_gemma":[0.0015855741,0.000026936244,0.4886947,0.20528747,0.0005094157,0.00013853211,0.00010368164,0.001919596,0.019471008,0.035412338,0.24503784,0.0018129062],"about_ca_topic_score_codex":0.001539602,"about_ca_topic_score_gemma":0.000053974447,"teacher_disagreement_score":0.7902001,"about_ca_system_score_codex":0.0004970499,"about_ca_system_score_gemma":0.00046078465,"threshold_uncertainty_score":0.9998048},"labels":[],"label_agreement":null}]}