{"meta":{"query_hash":"16c0c1226115","filters":{"topic":"Internet of Things and AI"},"cohort_total":236,"direct_labels_cover":0,"predictions_cover":236,"exported":236,"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/16c0c1226115","api":"https://metacan.xera.ac/api/v1/cohort?topic=Internet+of+Things+and+AI"},"results":[{"id":"W2042412375","doi":"10.1016/j.clinbiochem.2010.04.036","title":"Specialized computer software applied to downloaded data from disseminated POCT Siemens Clinitek Status urinalysis dipstick readers facilitates the monitoring and documentation of operator adherence to QA and QC standards","year":2010,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Internet of Things and AI","field":"Computer Science","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":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Cloud computing; Computer security; Computer science; Cloud computing security; Documentation; Software; Data center; Virtualization; Operating system","score_opus":0.04117142735515328,"score_gpt":0.3709994112246623,"score_spread":0.329827983869509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042412375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809447,0.00006234283,0.017216273,0.0004915351,0.00041015126,0.00022488371,0.0005687712,0.000047326044,0.00003399701],"genre_scores_gemma":[0.91955477,0.00003927684,0.079740636,0.00020087573,0.00028599723,0.000011752714,0.00009371959,0.000007898075,0.00006510109],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978201,0.000050235685,0.00066528737,0.0008326274,0.00036639033,0.00026538837],"domain_scores_gemma":[0.9973921,0.00092956336,0.00017710967,0.0009878018,0.00020080898,0.00031260133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084892084,0.00019851157,0.00036386994,0.000030816685,0.00010927172,0.00034579125,0.0010646431,0.00012781906,0.000044497672],"category_scores_gemma":[0.00122284,0.00015019022,0.00005289073,0.00018335262,0.00020746459,0.00017481732,0.0012489327,0.00033238757,0.000008991685],"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":[0.0011028015,0.0006001422,0.08290223,0.00029521008,0.0007224908,0.000034073943,0.010977281,0.00005444286,0.58567935,0.00017295398,0.015348572,0.30211046],"study_design_scores_gemma":[0.0054085176,0.0015358217,0.08242799,0.0007887824,0.0004227171,0.000009998464,0.0041832603,0.0061361375,0.88467497,0.0012170387,0.0112563465,0.0019384369],"about_ca_topic_score_codex":0.0001470639,"about_ca_topic_score_gemma":0.000010658389,"teacher_disagreement_score":0.30017203,"about_ca_system_score_codex":0.000021039736,"about_ca_system_score_gemma":0.000083069965,"threshold_uncertainty_score":0.61245793},"labels":[],"label_agreement":null},{"id":"W2569469925","doi":"","title":"Solving Problems","year":2016,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","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":"Quarter (Canadian coin); Ask price; Computer science; Management science; Engineering management; Operations research; Engineering; Business; Geography","score_opus":0.008539357662673972,"score_gpt":0.20153691394325002,"score_spread":0.19299755628057605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569469925","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000036826106,0.0118178325,0.9786168,0.002466267,0.0007738102,0.0002683615,1.8400969e-7,0.0003308238,0.0056891358],"genre_scores_gemma":[0.2232474,0.32936016,0.38287157,0.010217386,0.00086419657,0.00066693994,0.0000018987399,0.0001626377,0.052607827],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917156,0.000008046044,0.00018813595,0.000235561,0.00016639027,0.0002303356],"domain_scores_gemma":[0.99945605,0.000017182643,0.0000460108,0.0004178953,0.000017501272,0.00004537336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029878848,0.000119101096,0.00014604999,0.000056603898,0.000020912794,0.000060227518,0.00072903343,0.0000136899425,0.000026983045],"category_scores_gemma":[0.00001223905,0.00007712704,0.000074866824,0.00014719677,0.000004468362,0.00032347068,0.00016987382,0.000042316922,0.00026931975],"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":[2.916196e-7,0.000034672736,0.00001276102,0.0087278355,0.00010849307,0.0000645848,0.00004135811,0.00055416895,0.0013488737,0.2661567,0.058746297,0.66420394],"study_design_scores_gemma":[0.00012521734,0.00001986002,0.000058796133,0.013667978,0.000017277574,0.00000864207,2.0945606e-7,0.0054668584,0.00034058682,0.00028196556,0.9797639,0.00024868004],"about_ca_topic_score_codex":0.000001364461,"about_ca_topic_score_gemma":1.13885505e-7,"teacher_disagreement_score":0.92101765,"about_ca_system_score_codex":0.000034795386,"about_ca_system_score_gemma":0.0000024567476,"threshold_uncertainty_score":0.346165},"labels":[],"label_agreement":null},{"id":"W2572058873","doi":"10.1007/978-3-642-21043-3","title":"Advances in Artificial Intelligence","year":2011,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Internet of Things and AI","field":"Computer Science","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":"Saint Mary's University; University of Regina","funders":"","keywords":"Computer science; Artificial intelligence; Applications of artificial intelligence; Operations research; Engineering","score_opus":0.02098089928896642,"score_gpt":0.2631336486461543,"score_spread":0.24215274935718786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572058873","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000028295162,0.0010577398,0.9817465,0.00035921525,0.0032539326,0.00024924532,0.0000013023869,0.000111348185,0.013192429],"genre_scores_gemma":[0.1868947,0.00046490756,0.80677444,0.003103742,0.0014018967,0.000032205597,0.0000051260126,0.000062183135,0.0012608132],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99606144,0.000051991312,0.0006768637,0.0015663262,0.0007960187,0.0008473419],"domain_scores_gemma":[0.99803656,0.00028530427,0.00028195066,0.0011126499,0.00015098334,0.00013251985],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0010597452,0.00047023766,0.0005098905,0.0010668495,0.000119993856,0.0005226083,0.0059187277,0.0002905555,0.000028535485],"category_scores_gemma":[0.00012674383,0.0004267342,0.000118203105,0.0012037128,0.0006262915,0.0014840771,0.001668739,0.0010616127,0.00011810048],"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":[0.000004768139,0.000046753255,0.000017337412,0.000029643143,0.0000014312922,0.000107106236,0.0013453219,0.008156186,0.000017202166,0.05151712,0.000021879581,0.93873525],"study_design_scores_gemma":[0.000039174614,0.0001520522,0.000023279936,0.00050893886,0.0000016611598,0.000033320684,2.6667334e-7,0.30787092,0.0028541652,0.684741,0.003233838,0.00054135855],"about_ca_topic_score_codex":0.00004892356,"about_ca_topic_score_gemma":0.00035239698,"teacher_disagreement_score":0.9381939,"about_ca_system_score_codex":0.00041452312,"about_ca_system_score_gemma":0.0008147215,"threshold_uncertainty_score":0.99981844},"labels":[],"label_agreement":null},{"id":"W2767553166","doi":"10.1007/s11036-017-0953-3","title":"Editorial: Machine Learning and Intelligent Wireless Communications (MLICOM 2017)","year":2017,"lang":"en","type":"editorial","venue":"Mobile Networks and Applications","topic":"Internet of Things and AI","field":"Computer Science","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":"University of British Columbia","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Computer science; Wireless; Telecommunications; Computer network; Human–computer interaction; Artificial intelligence","score_opus":0.00950606976125103,"score_gpt":0.2798349674017497,"score_spread":0.27032889764049867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767553166","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":[0.0000030276735,0.007884126,0.22101775,0.0002884428,0.76823217,0.00074915093,0.000046451336,0.00019766008,0.0015812373],"genre_scores_gemma":[0.0019289334,0.02879708,0.00092774036,0.00003278571,0.9641658,0.0012544887,0.00037173147,0.00004181214,0.0024796189],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99820584,0.00007607486,0.0003707924,0.00067832944,0.00034079922,0.00032817665],"domain_scores_gemma":[0.9967565,0.0006119503,0.00047971177,0.001731508,0.0002454208,0.00017490429],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004913917,0.0003289408,0.00040705444,0.000076618875,0.0012972188,0.00117197,0.0024248722,0.0005975311,0.000004442728],"category_scores_gemma":[0.00004630702,0.0003139749,0.00008679516,0.0000932399,0.00027257588,0.00024215199,0.0021506487,0.0015519202,0.0000149209645],"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":[0.0000023114228,0.00005208428,0.000013492441,0.000025128991,0.00003254712,4.4911047e-7,0.00005142452,0.00023702922,0.0000026311075,0.004940775,0.948906,0.04573613],"study_design_scores_gemma":[0.0001371047,0.000059487254,0.000002053344,0.000090851536,0.000030469862,0.0000024839114,0.000009747546,0.08060532,0.000002030725,0.000520325,0.9182429,0.0002972268],"about_ca_topic_score_codex":0.00026411607,"about_ca_topic_score_gemma":0.000086595996,"teacher_disagreement_score":0.22009,"about_ca_system_score_codex":0.000043552423,"about_ca_system_score_gemma":0.000082522805,"threshold_uncertainty_score":0.9999312},"labels":[],"label_agreement":null},{"id":"W2800261707","doi":"","title":"IEEE/ACM ASONAM 2017 message from the general chairs","year":2017,"lang":"en","type":"article","venue":"Advances in Social Networks Analysis and Mining","topic":"Internet of Things and AI","field":"Computer Science","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 Calgary","funders":"","keywords":"Computer science; Computer network; World Wide Web","score_opus":0.017448853452442546,"score_gpt":0.30833944699593197,"score_spread":0.2908905935434894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800261707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49678984,0.012797969,0.47344968,0.004825444,0.0020236126,0.00014632152,0.000012107949,0.00007132643,0.009883689],"genre_scores_gemma":[0.9891483,0.0014428595,0.0075375293,0.00046012932,0.0010354568,0.0000071534264,0.000004152676,0.0000057196335,0.00035865788],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988962,0.000059087524,0.00021123381,0.0003700245,0.00017714841,0.00028631734],"domain_scores_gemma":[0.99888825,0.00015112993,0.0003023367,0.00058681006,0.00003086873,0.00004062458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042700293,0.00013588024,0.00030567203,0.000041959043,0.0011056947,0.00062746776,0.0016205813,0.00007281926,0.000008700855],"category_scores_gemma":[0.00005432585,0.000099780715,0.00016020206,0.00018418297,0.00014030554,0.00079354295,0.0005129228,0.0001785792,8.7518185e-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":[0.000019934054,0.000049792037,0.2046559,0.000004760231,0.0007340239,0.000068105546,0.008036747,0.024438405,0.000023736658,0.025954042,0.0048146998,0.73119986],"study_design_scores_gemma":[0.0004209696,0.00002714363,0.14184463,0.000056848778,0.00021734675,0.0000010918518,0.00045533208,0.8254516,0.000017462158,0.006528415,0.024577346,0.00040181316],"about_ca_topic_score_codex":0.0005023312,"about_ca_topic_score_gemma":0.0017069837,"teacher_disagreement_score":0.8010132,"about_ca_system_score_codex":0.00001685557,"about_ca_system_score_gemma":0.000009600006,"threshold_uncertainty_score":0.85042214},"labels":[],"label_agreement":null},{"id":"W2909578415","doi":"10.3166/acsm.42.459-470","title":"Smart tools for energy resilient city","year":2018,"lang":"fr","type":"article","venue":"Annales de Chimie Science des Matériaux","topic":"Internet of Things and AI","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Architectural engineering; Computer science; Environmental science; Engineering","score_opus":0.10088584138972473,"score_gpt":0.3176273634042393,"score_spread":0.21674152201451458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909578415","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":[0.13503452,0.0020558704,0.80687636,0.014737966,0.007197935,0.00034304697,0.000050552557,0.0001852752,0.033518452],"genre_scores_gemma":[0.8013054,0.00033562622,0.15584403,0.0069481153,0.0019808316,0.00004822049,0.0000052184455,0.00003492926,0.033497628],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958902,0.000089289584,0.00047486892,0.0010997911,0.0007274959,0.0017183465],"domain_scores_gemma":[0.99692744,0.00026584492,0.00024446496,0.00092423963,0.0010959799,0.0005420417],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0024679352,0.00035323246,0.0003238741,0.00027077945,0.0013664492,0.0027002483,0.0031879672,0.00015396779,0.00024452482],"category_scores_gemma":[0.0011601862,0.00034224262,0.0002561017,0.0009904279,0.004809825,0.003644133,0.00094872626,0.00019163286,0.0002844092],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006396594,0.00023282666,0.00025998673,0.00010421149,0.000029439776,0.000027333233,0.0041326717,0.0000870696,0.0052883313,0.73810005,0.04954614,0.202128],"study_design_scores_gemma":[0.0004403184,0.0012270928,0.0047906246,0.0004861685,0.000029193308,0.00023636143,0.00019715626,0.17848247,0.07565862,0.09977531,0.6379728,0.00070392486],"about_ca_topic_score_codex":0.0006157259,"about_ca_topic_score_gemma":0.0003031125,"teacher_disagreement_score":0.6662709,"about_ca_system_score_codex":0.00033775577,"about_ca_system_score_gemma":0.0011212328,"threshold_uncertainty_score":0.99993366},"labels":[],"label_agreement":null},{"id":"W2968560482","doi":"10.5958/0974-1283.2019.00186.5","title":"Deaths Due to Electrocution-A Retrospective Study","year":2019,"lang":"en","type":"article","venue":"Medico-Legal Update","topic":"Internet of Things and AI","field":"Computer Science","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":"Electrocution; Medicine; Retrospective cohort study; Forensic engineering; Medical emergency; Emergency medicine; Engineering; Surgery","score_opus":0.00383675871740351,"score_gpt":0.22888571317094,"score_spread":0.22504895445353648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968560482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85020554,0.000042326632,0.11463056,0.0077121714,0.0027100728,0.0008147199,0.0000036863778,0.00034404764,0.023536878],"genre_scores_gemma":[0.99009925,0.0000017761178,0.0026240551,0.0030876538,0.0001997814,0.000021285754,0.000002272334,0.0000130513745,0.003950876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99805355,0.000057334466,0.00023255202,0.00057617936,0.0005834333,0.00049696787],"domain_scores_gemma":[0.998974,0.000016938528,0.00007292677,0.0006460941,0.00011474455,0.00017529055],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005464154,0.0001772754,0.00026627956,0.00012855095,0.0000986153,0.00023902376,0.0012132027,0.000049071034,0.0002287009],"category_scores_gemma":[0.000057512454,0.00014983036,0.000068894034,0.0003722422,0.000016355398,0.0005387669,0.00047916453,0.00028769512,0.0026276093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118775984,0.0010638592,0.023424918,0.000024919333,0.00028951024,0.0008803879,0.009303768,0.000059491624,0.004937086,0.86547506,0.07999037,0.014431883],"study_design_scores_gemma":[0.0065452624,0.011020414,0.21305309,0.00026769206,0.00010381186,0.0006330737,0.001034872,0.03143839,0.021105563,0.029585473,0.68227667,0.002935682],"about_ca_topic_score_codex":0.0001981606,"about_ca_topic_score_gemma":0.000045324683,"teacher_disagreement_score":0.8358896,"about_ca_system_score_codex":0.00013364098,"about_ca_system_score_gemma":0.0000705541,"threshold_uncertainty_score":0.998149},"labels":[],"label_agreement":null},{"id":"W3015624539","doi":"","title":"Internet of Things in Telemedicine: a Discussion Regarding to Several Implementation","year":2018,"lang":"en","type":"article","venue":"Journal of Information Communication Technologies and Robotic Applications","topic":"Internet of Things and AI","field":"Computer Science","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":"Telemedicine; The Internet; Process (computing); Computer science; Health care; Multimedia; Internet privacy; World Wide Web; Political science","score_opus":0.01143433170585047,"score_gpt":0.28092075014037343,"score_spread":0.269486418434523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015624539","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":[0.0055270693,0.00007082692,0.97957104,0.013971512,0.000040459912,0.00024766912,4.2825124e-7,0.000049107643,0.0005218545],"genre_scores_gemma":[0.80176723,0.000158405,0.19778296,0.0002451776,0.000008189783,0.00001819028,0.000002623793,0.0000018934685,0.000015332476],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893165,0.00002267344,0.00071858056,0.000060632967,0.00017062615,0.000095859585],"domain_scores_gemma":[0.9985229,0.000048519218,0.000676604,0.00037430745,0.0003506922,0.000027022486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055278075,0.0000705047,0.00015333515,0.00047334647,0.000090428985,0.000071285176,0.0009514643,0.00005579709,0.000004451834],"category_scores_gemma":[0.00009436073,0.000047021862,0.000027365053,0.0004610955,0.000084544976,0.001653349,0.00045878516,0.00017045326,0.000004161633],"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":[0.000019883471,0.00005275875,0.0012338151,0.000043113003,0.000023600844,1.7019299e-7,0.011437797,0.00029589632,0.0005688013,0.27377257,0.0032044414,0.7093471],"study_design_scores_gemma":[0.0069866916,0.004606677,0.037955828,0.0029762539,0.00011728152,0.00053977466,0.12314485,0.37496123,0.053857695,0.21360332,0.17976367,0.0014867225],"about_ca_topic_score_codex":0.000036089798,"about_ca_topic_score_gemma":0.000008396544,"teacher_disagreement_score":0.79624015,"about_ca_system_score_codex":0.000056831363,"about_ca_system_score_gemma":0.000031872914,"threshold_uncertainty_score":0.19174959},"labels":[],"label_agreement":null},{"id":"W3081694166","doi":"10.5539/ies.v13n9p123","title":"Green University Using Cloud Based Internet of Things Model for Energy Saving","year":2020,"lang":"en","type":"article","venue":"International Education Studies","topic":"Internet of Things and AI","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; The Internet; Sample (material); Computer science; Internet of Things; Process (computing); World Wide Web","score_opus":0.08274636614134569,"score_gpt":0.31811914747058007,"score_spread":0.2353727813292344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081694166","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":[0.020888047,0.000116883195,0.96852356,0.00842084,0.0013684995,0.000047853217,0.0000050707754,0.000038016224,0.0005912529],"genre_scores_gemma":[0.8729469,0.000009229306,0.12160824,0.003356096,0.00014710364,0.0000024244587,0.0000047234594,0.000005508507,0.0019197409],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933505,0.000015177375,0.0001717197,0.00021738892,0.00017531721,0.00008533547],"domain_scores_gemma":[0.9986477,0.000078020996,0.0001782912,0.000094145835,0.000963569,0.000038273123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009069903,0.00008424621,0.00012544719,0.000090092544,0.000048897207,0.0000331719,0.00064464996,0.00002388219,0.000005451856],"category_scores_gemma":[0.00014860363,0.00008655545,0.00008318327,0.0000959648,0.000036794725,0.00045487963,0.00023959987,0.000043447915,0.0000013324598],"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":[0.0001637208,0.00035095238,0.0012043978,0.00019330191,0.00066802726,0.0000027070528,0.03730848,0.015611513,0.0041820556,0.87168676,0.03782541,0.030802673],"study_design_scores_gemma":[0.00016689832,0.00002727206,0.00002121388,0.000059795893,0.0000108549275,9.0551123e-7,0.00043811416,0.98088527,0.001442182,0.0035168584,0.013343049,0.00008760655],"about_ca_topic_score_codex":0.0003432418,"about_ca_topic_score_gemma":0.0000072804364,"teacher_disagreement_score":0.96527374,"about_ca_system_score_codex":0.000109670575,"about_ca_system_score_gemma":0.00017146597,"threshold_uncertainty_score":0.35296285},"labels":[],"label_agreement":null},{"id":"W3084238106","doi":"10.1201/9781003038412","title":"Internet of Everything and Big Data","year":2021,"lang":"en","type":"book","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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":"Lakehead University","funders":"","keywords":"Big data; The Internet; Computer science; Internet privacy; Data science; World Wide Web; Data mining","score_opus":0.0715219406773651,"score_gpt":0.24752131208746597,"score_spread":0.17599937141010086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084238106","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":[0.000023840475,0.0010511928,0.20244014,0.00038263947,0.0013733758,0.000056463337,0.000015611424,0.000053201922,0.7946035],"genre_scores_gemma":[0.0006817839,0.00007621634,0.021812923,0.0005386598,0.00018909108,3.5605038e-7,0.000058929967,0.000010218178,0.9766318],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895823,0.000014284959,0.00022249775,0.00048448157,0.00020733538,0.00011319305],"domain_scores_gemma":[0.998568,0.00005812826,0.00014182892,0.0011302935,0.000061264116,0.000040461717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021202471,0.000137075,0.00025467094,0.000071718285,0.000011597998,0.00018532886,0.0021371667,0.000115648385,0.000057948935],"category_scores_gemma":[0.000030584168,0.00011754501,0.000040290503,0.000030278103,0.000036609774,0.00027569206,0.0050996263,0.00021137075,0.000009583916],"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":[0.0000012489921,0.00001507787,0.0000076889155,0.00016249284,0.00008816619,0.000061047016,0.00045118754,2.6512265e-7,0.000021809046,0.21569706,0.67175704,0.1117369],"study_design_scores_gemma":[0.00011262047,0.000048230795,0.000011729353,0.00071475457,0.000017532224,0.00006661556,0.0000072644843,0.016998267,0.00038278286,0.0072750864,0.9740932,0.00027189995],"about_ca_topic_score_codex":0.00009714736,"about_ca_topic_score_gemma":0.000021934668,"teacher_disagreement_score":0.30233616,"about_ca_system_score_codex":0.00001921489,"about_ca_system_score_gemma":0.00017684187,"threshold_uncertainty_score":0.6356319},"labels":[],"label_agreement":null},{"id":"W3111796581","doi":"10.37628/ijra.v4i1.686","title":"Integration of Robotics and Biotechnology for Welfare of Society","year":2018,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Robotics; Robot; Artificial intelligence; Computer science; Welfare; Engineering ethics; Engineering; Political science; Law","score_opus":0.012588279441160439,"score_gpt":0.2691620355862851,"score_spread":0.2565737561451247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111796581","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":[0.06478694,0.00006933202,0.9247743,0.009671269,0.00059821433,0.00004955107,0.0000039883544,0.000009269506,0.000037158996],"genre_scores_gemma":[0.75132334,0.000064765394,0.24846175,0.000054002594,0.000077971905,2.817487e-7,0.0000013829073,0.00000267611,0.000013811775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927056,0.000010243252,0.00038004282,0.000079610836,0.00019910195,0.00006044079],"domain_scores_gemma":[0.99850404,0.00004488817,0.00057504274,0.000066721186,0.0007880478,0.000021249254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026045289,0.00006181444,0.0001381428,0.00012716014,0.000033811026,0.000051214538,0.00029720695,0.000071089176,0.0000018448768],"category_scores_gemma":[0.000081611295,0.000051151328,0.00006891538,0.000059390975,0.00009532318,0.00031002625,0.00008833918,0.00006560077,1.5215367e-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":[0.000036141242,0.00010700265,0.00028049687,0.00006219797,0.00019340763,0.0000015659361,0.001609813,0.0034452018,0.048130833,0.827477,0.0005356102,0.118120775],"study_design_scores_gemma":[0.00075228355,0.00078411493,0.0031197243,0.00024645502,0.000027118733,0.000109993445,0.0001986118,0.91265297,0.060442798,0.020869853,0.0006943396,0.00010172115],"about_ca_topic_score_codex":0.0000067005153,"about_ca_topic_score_gemma":0.0000022326572,"teacher_disagreement_score":0.90920776,"about_ca_system_score_codex":0.000020732097,"about_ca_system_score_gemma":0.000024391627,"threshold_uncertainty_score":0.20858906},"labels":[],"label_agreement":null},{"id":"W3187578345","doi":"10.14447/jnmes.v24i2.a06","title":"A Novel Experimental Study and Analysis of Electrocoagulation Process for Textile Wastewater Treatment using Various Sensors with Integration of IoT Monitoring System","year":2021,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electrocoagulation; Turbidity; Wastewater; Environmental science; Process (computing); Textile; Pulp and paper industry; Process engineering; Economic shortage; Portable water purification; Sewage treatment; Computer science; Waste management; Materials science; Environmental engineering; Engineering; Composite material","score_opus":0.032165906989177886,"score_gpt":0.30718742572075197,"score_spread":0.2750215187315741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187578345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88360214,0.00012233594,0.11567785,0.000008584043,0.00014995692,0.00042583802,0.000005139734,0.000007008932,0.0000011337705],"genre_scores_gemma":[0.9948813,9.51515e-7,0.004903124,8.588642e-7,0.00016175448,0.000020239166,0.0000033613558,0.000011496095,0.000016943062],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985695,0.000037153113,0.00072580704,0.00019766491,0.0002947251,0.00017517337],"domain_scores_gemma":[0.99836946,0.000051701605,0.0008511602,0.00012306859,0.00054768106,0.00005696057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029021883,0.00014966307,0.00068766583,0.0001636675,0.00004008133,0.000117806114,0.00014722717,0.000054874014,5.7793767e-7],"category_scores_gemma":[0.00002113745,0.000103381135,0.000116297124,0.0002298176,0.000009268369,0.0001634214,0.000019413106,0.000032332922,1.5685451e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003642082,0.00028660198,0.00009278878,0.00014496033,0.0007891668,0.0000018862958,0.0018507896,0.000943903,0.99537444,0.00012069324,8.6882125e-7,0.000029662398],"study_design_scores_gemma":[0.0012547127,0.0023600385,0.00004250994,0.000249818,0.0005147042,0.00017483467,0.0011962123,0.03931953,0.9547859,0.00000861295,0.0000019656352,0.000091185284],"about_ca_topic_score_codex":0.000091022885,"about_ca_topic_score_gemma":0.000002377312,"teacher_disagreement_score":0.111279115,"about_ca_system_score_codex":0.0002658939,"about_ca_system_score_gemma":0.00012573642,"threshold_uncertainty_score":0.42157602},"labels":[],"label_agreement":null},{"id":"W4200167183","doi":"10.1109/tetci.2021.3125588","title":"IEEE Computational Intelligence Society","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Internet of Things and AI","field":"Computer Science","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":"Simon Fraser University","funders":"","keywords":"Computer science; Computational intelligence; Artificial intelligence","score_opus":0.03632018987249527,"score_gpt":0.3087151736868459,"score_spread":0.2723949838143507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200167183","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":[0.0022984508,0.000081819206,0.9899015,0.0044110296,0.0023128807,0.00012636544,0.000010689907,0.00016256713,0.00069471676],"genre_scores_gemma":[0.75212324,0.00006295331,0.2452044,0.0017010886,0.00010106498,0.000021004233,0.0000067102233,0.000016378162,0.00076316844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973238,0.000102577105,0.0006861408,0.00076134526,0.00071127055,0.00041482606],"domain_scores_gemma":[0.998408,0.0005023236,0.00013197842,0.0003920565,0.00044885182,0.000116780524],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003435894,0.00028284095,0.00025967555,0.00020546078,0.0002951562,0.00024529945,0.00091264665,0.00012780256,0.00016853695],"category_scores_gemma":[0.000019430312,0.0003228321,0.000281581,0.00095250783,0.00012170444,0.000526654,0.000018726458,0.0006486429,0.00014101273],"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":[0.0000052025557,0.00023336595,0.000012434054,0.000020454028,0.00003642853,0.00003642809,0.0011999424,0.8774659,0.000023533079,0.060313635,0.00021856252,0.060434103],"study_design_scores_gemma":[0.00008580467,0.00005544268,0.00007808308,0.000107250584,0.0000062719305,0.000050843493,0.00015275214,0.87776655,0.011339901,0.109156325,0.00087949703,0.00032129805],"about_ca_topic_score_codex":0.000046196754,"about_ca_topic_score_gemma":0.00003587281,"teacher_disagreement_score":0.74982476,"about_ca_system_score_codex":0.00021362181,"about_ca_system_score_gemma":0.00028323164,"threshold_uncertainty_score":0.9999224},"labels":[],"label_agreement":null},{"id":"W4200242940","doi":"10.1109/jproc.2021.3127250","title":"Proceedings of the IEEE publication information","year":2021,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Library science; Information retrieval; World Wide Web; Data science","score_opus":0.008309317969230002,"score_gpt":0.20194501736511952,"score_spread":0.1936356993958895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200242940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9288708,0.000024535648,0.0005427888,0.015959047,0.0013487692,0.00033015857,0.000003840675,0.00008378255,0.052836284],"genre_scores_gemma":[0.9947106,0.000006170719,0.002596089,0.0008437308,0.00007933947,0.00001298091,2.3975875e-7,0.0000059056806,0.0017449073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998764,0.0000022434017,0.0003786886,0.00016568198,0.0005106289,0.00017876193],"domain_scores_gemma":[0.997355,0.000014999373,0.0006380075,0.00015944698,0.0017997123,0.000032853448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037715392,0.00010941694,0.00014064803,0.00006293815,0.00011424615,0.00029250036,0.001872271,0.00006671024,0.000006311675],"category_scores_gemma":[0.00028102502,0.000067749184,0.00014137686,0.0007032192,0.0000704154,0.002385569,0.00038029967,0.00017277707,0.000009312735],"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":[0.000017982356,0.00015098786,0.004847398,0.00061126944,0.000067860645,6.650987e-8,0.008291568,0.000015486241,0.40475252,0.4118711,0.1616467,0.0077270386],"study_design_scores_gemma":[0.0001788457,0.000028709317,0.0035022004,0.00016830722,0.000013764749,0.000021327129,0.00019668472,0.0038064602,0.97338015,0.0061943373,0.012398591,0.00011062236],"about_ca_topic_score_codex":0.000015947067,"about_ca_topic_score_gemma":5.76301e-7,"teacher_disagreement_score":0.5686276,"about_ca_system_score_codex":0.0000408729,"about_ca_system_score_gemma":0.00006644234,"threshold_uncertainty_score":0.34791765},"labels":[],"label_agreement":null},{"id":"W4200255440","doi":"10.1109/tfuzz.2021.3125085","title":"IEEE Computational Intelligence Society","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; University of Warwick; Southern University of Science and Technology; Universidad de Granada; Florida Atlantic University; Inyuvesi Yakwazulu-Natali; Swinburne University of Technology; Universidad del Atlántico; Università degli Studi di Milano-Bicocca; University of Essex; Università degli Studi di Milano; St. Francis Xavier University","keywords":"Computer science; Artificial intelligence","score_opus":0.0227007443413198,"score_gpt":0.25110621035327846,"score_spread":0.22840546601195866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200255440","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":[0.0013587907,0.00010368356,0.99000734,0.0006942244,0.004957508,0.00011250479,0.000013546553,0.00020495245,0.0025474662],"genre_scores_gemma":[0.9810174,0.000020433232,0.014389417,0.0005676655,0.00011767192,0.000025434192,0.0000016924066,0.000012813627,0.0038474665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848956,0.000077745164,0.00031674997,0.00043122406,0.0004284782,0.0002562388],"domain_scores_gemma":[0.999058,0.000131526,0.0000786052,0.00039978416,0.00023003248,0.000102046615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020885607,0.00016008117,0.00018708195,0.000056988836,0.00023758889,0.0003487534,0.0005168344,0.0000900727,0.000026356478],"category_scores_gemma":[0.0000021770004,0.0001581985,0.00024404404,0.0003577786,0.0000399774,0.00035556365,0.0000033965498,0.00026396333,0.00034551395],"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":[0.000006366451,0.00030749285,0.0000040241302,0.00008901482,0.00015387393,0.000053688487,0.0018872396,0.947644,0.0010845124,0.024982994,0.006640333,0.017146455],"study_design_scores_gemma":[0.00024847157,0.00011645997,0.000016490801,0.00019101656,0.000018114415,0.00027033614,0.0004001628,0.95855564,0.0304117,0.002453373,0.006899026,0.00041919504],"about_ca_topic_score_codex":0.000071533155,"about_ca_topic_score_gemma":0.000008275926,"teacher_disagreement_score":0.9796586,"about_ca_system_score_codex":0.000095964664,"about_ca_system_score_gemma":0.00012840128,"threshold_uncertainty_score":0.6451148},"labels":[],"label_agreement":null},{"id":"W4205307474","doi":"10.1109/tetci.2021.3063875","title":"IEEE Computational Intelligence Society","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Internet of Things and AI","field":"Computer Science","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":"Simon Fraser University","funders":"","keywords":"Computer science","score_opus":0.03632018987249527,"score_gpt":0.3087151736868459,"score_spread":0.2723949838143507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205307474","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":[0.0022984508,0.000081819206,0.9899015,0.0044110296,0.0023128807,0.00012636544,0.000010689907,0.00016256713,0.00069471676],"genre_scores_gemma":[0.75212324,0.00006295331,0.2452044,0.0017010886,0.00010106498,0.000021004233,0.0000067102233,0.000016378162,0.00076316844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973238,0.000102577105,0.0006861408,0.00076134526,0.00071127055,0.00041482606],"domain_scores_gemma":[0.998408,0.0005023236,0.00013197842,0.0003920565,0.00044885182,0.000116780524],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003435894,0.00028284095,0.00025967555,0.00020546078,0.0002951562,0.00024529945,0.00091264665,0.00012780256,0.00016853695],"category_scores_gemma":[0.000019430312,0.0003228321,0.000281581,0.00095250783,0.00012170444,0.000526654,0.000018726458,0.0006486429,0.00014101273],"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":[0.0000052025557,0.00023336595,0.000012434054,0.000020454028,0.00003642853,0.00003642809,0.0011999424,0.8774659,0.000023533079,0.060313635,0.00021856252,0.060434103],"study_design_scores_gemma":[0.00008580467,0.00005544268,0.00007808308,0.000107250584,0.0000062719305,0.000050843493,0.00015275214,0.87776655,0.011339901,0.109156325,0.00087949703,0.00032129805],"about_ca_topic_score_codex":0.000046196754,"about_ca_topic_score_gemma":0.00003587281,"teacher_disagreement_score":0.74982476,"about_ca_system_score_codex":0.00021362181,"about_ca_system_score_gemma":0.00028323164,"threshold_uncertainty_score":0.9999224},"labels":[],"label_agreement":null},{"id":"W4205322455","doi":"10.1109/tcyb.2021.3089148","title":"IEEE Transactions on Cybernetics","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.01703339875355985,"score_gpt":0.24154321205632864,"score_spread":0.22450981330276878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205322455","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":[0.007265501,0.00006426663,0.9783168,0.0019753466,0.0043327846,0.00019571012,0.00004647084,0.00037021903,0.007432941],"genre_scores_gemma":[0.95102036,0.00026065117,0.021792889,0.0022090718,0.000118972115,0.000037756916,0.000002082418,0.000063052204,0.024495147],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99705815,0.00013077704,0.00053428207,0.0008624284,0.0007586605,0.0006556861],"domain_scores_gemma":[0.9978597,0.00024394368,0.00012387359,0.0012046306,0.00026606044,0.00030180355],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018155602,0.00044304217,0.00036668094,0.00023345563,0.00037240455,0.00039681955,0.000984495,0.0002776134,0.00045439723],"category_scores_gemma":[0.0000057243024,0.000465622,0.0004175399,0.00065328303,0.00011696493,0.0003133182,0.0000024519795,0.0009368966,0.0008385783],"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":[0.00016407006,0.0059248945,0.0000065135378,0.00013963637,0.00077645667,0.00083134277,0.006897456,0.3981614,0.019080598,0.024082499,0.010763474,0.53317165],"study_design_scores_gemma":[0.0014602841,0.00091126724,0.000054178177,0.00023574808,0.00015390193,0.0002724761,0.00014075478,0.13610707,0.8223825,0.0024907175,0.034603335,0.0011877792],"about_ca_topic_score_codex":0.00007710712,"about_ca_topic_score_gemma":0.0001703953,"teacher_disagreement_score":0.9565239,"about_ca_system_score_codex":0.00017376507,"about_ca_system_score_gemma":0.00018611694,"threshold_uncertainty_score":0.9999394},"labels":[],"label_agreement":null},{"id":"W4205359157","doi":"10.1109/tcyb.2019.2927145","title":"IEEE Transactions on Cybernetics","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.012578493928432865,"score_gpt":0.23092227603004709,"score_spread":0.21834378210161423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205359157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030376984,0.000025662728,0.95219916,0.0009934969,0.0052869455,0.0004253036,0.000035167977,0.00040568504,0.010251614],"genre_scores_gemma":[0.96020687,0.00010527484,0.009816461,0.0015220105,0.00008383443,0.000034168257,0.00000112041,0.00006438131,0.028165862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970995,0.00009250162,0.0005192189,0.00083214155,0.0007765339,0.0006800679],"domain_scores_gemma":[0.9979446,0.00023215986,0.00014683642,0.0012577071,0.00015004653,0.00026867245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021556763,0.00046725347,0.00038202046,0.00032411303,0.00024413131,0.00031256472,0.0013005782,0.00028681045,0.00057988573],"category_scores_gemma":[0.0000023372986,0.00046420397,0.00038594057,0.0004907978,0.00009695008,0.00037858437,0.0000020569712,0.00093488395,0.0032785244],"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":[0.00028356325,0.00411828,0.000022966538,0.0001630596,0.00062317227,0.0001192809,0.006630173,0.59444755,0.014153254,0.021743214,0.0068484726,0.35084698],"study_design_scores_gemma":[0.0031589852,0.003414804,0.00016442432,0.00042509948,0.00018959082,0.00016530362,0.00017502575,0.4279969,0.5113459,0.0029376713,0.047797043,0.0022292475],"about_ca_topic_score_codex":0.000116831034,"about_ca_topic_score_gemma":0.00006991054,"teacher_disagreement_score":0.9423827,"about_ca_system_score_codex":0.00017743089,"about_ca_system_score_gemma":0.0000967863,"threshold_uncertainty_score":0.99978095},"labels":[],"label_agreement":null},{"id":"W4205360820","doi":"10.1109/jproc.2021.3133985","title":"Proceedings of the IEEE publication information","year":2022,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Library science","score_opus":0.007796778721395689,"score_gpt":0.19480559794266977,"score_spread":0.18700881922127408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205360820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9516056,0.000012694954,0.00022132036,0.01250679,0.0014538519,0.0005149609,0.0000072556372,0.000091255635,0.03358624],"genre_scores_gemma":[0.99681836,0.0000017297851,0.0009340442,0.0008452181,0.000054260046,0.000046119767,2.3070308e-7,0.0000061239493,0.0012939199],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99859244,0.0000030818833,0.0003700178,0.00015423216,0.00069932424,0.00018089983],"domain_scores_gemma":[0.9983019,0.000013415359,0.00079968316,0.00014336509,0.00071403116,0.000027564123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062261213,0.000104510524,0.00012611742,0.00010164064,0.00027177905,0.0001843254,0.0030031109,0.0000340355,0.000012451989],"category_scores_gemma":[0.00012278571,0.00006725656,0.00013137308,0.00074218493,0.00006512051,0.0019546712,0.00074823434,0.00024554535,0.000004669026],"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":[0.00004657038,0.00020647241,0.005292982,0.00042433242,0.00006564798,3.367456e-8,0.016169555,0.00011393202,0.17613962,0.46027485,0.33411077,0.0071552354],"study_design_scores_gemma":[0.000593206,0.00024141745,0.00671779,0.00013994281,0.000034993554,0.000053792566,0.001091017,0.024569336,0.86538035,0.018379753,0.08244673,0.00035165952],"about_ca_topic_score_codex":0.0000314053,"about_ca_topic_score_gemma":2.3114256e-7,"teacher_disagreement_score":0.68924075,"about_ca_system_score_codex":0.000076817814,"about_ca_system_score_gemma":0.00004491284,"threshold_uncertainty_score":0.5580577},"labels":[],"label_agreement":null},{"id":"W4205394241","doi":"10.1109/jproc.2021.3093610","title":"Proceedings of the IEEE publication information","year":2021,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Information retrieval; Library science","score_opus":0.008309317969230002,"score_gpt":0.20194501736511952,"score_spread":0.1936356993958895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205394241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9288708,0.000024535648,0.0005427888,0.015959047,0.0013487692,0.00033015857,0.000003840675,0.00008378255,0.052836284],"genre_scores_gemma":[0.9947106,0.000006170719,0.002596089,0.0008437308,0.00007933947,0.00001298091,2.3975875e-7,0.0000059056806,0.0017449073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998764,0.0000022434017,0.0003786886,0.00016568198,0.0005106289,0.00017876193],"domain_scores_gemma":[0.997355,0.000014999373,0.0006380075,0.00015944698,0.0017997123,0.000032853448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037715392,0.00010941694,0.00014064803,0.00006293815,0.00011424615,0.00029250036,0.001872271,0.00006671024,0.000006311675],"category_scores_gemma":[0.00028102502,0.000067749184,0.00014137686,0.0007032192,0.0000704154,0.002385569,0.00038029967,0.00017277707,0.000009312735],"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":[0.000017982356,0.00015098786,0.004847398,0.00061126944,0.000067860645,6.650987e-8,0.008291568,0.000015486241,0.40475252,0.4118711,0.1616467,0.0077270386],"study_design_scores_gemma":[0.0001788457,0.000028709317,0.0035022004,0.00016830722,0.000013764749,0.000021327129,0.00019668472,0.0038064602,0.97338015,0.0061943373,0.012398591,0.00011062236],"about_ca_topic_score_codex":0.000015947067,"about_ca_topic_score_gemma":5.76301e-7,"teacher_disagreement_score":0.5686276,"about_ca_system_score_codex":0.0000408729,"about_ca_system_score_gemma":0.00006644234,"threshold_uncertainty_score":0.34791765},"labels":[],"label_agreement":null},{"id":"W4205585207","doi":"10.1109/tfuzz.2021.3129381","title":"IEEE Computational Intelligence Society","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; University of Warwick; Southern University of Science and Technology; Universidad de Granada; Florida Atlantic University; Inyuvesi Yakwazulu-Natali; Swinburne University of Technology; Universidad del Atlántico; Università degli Studi di Milano-Bicocca; University of Essex; Università degli Studi di Milano; St. Francis Xavier University","keywords":"Computer science","score_opus":0.0227007443413198,"score_gpt":0.25110621035327846,"score_spread":0.22840546601195866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205585207","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":[0.0013587907,0.00010368356,0.99000734,0.0006942244,0.004957508,0.00011250479,0.000013546553,0.00020495245,0.0025474662],"genre_scores_gemma":[0.9810174,0.000020433232,0.014389417,0.0005676655,0.00011767192,0.000025434192,0.0000016924066,0.000012813627,0.0038474665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848956,0.000077745164,0.00031674997,0.00043122406,0.0004284782,0.0002562388],"domain_scores_gemma":[0.999058,0.000131526,0.0000786052,0.00039978416,0.00023003248,0.000102046615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020885607,0.00016008117,0.00018708195,0.000056988836,0.00023758889,0.0003487534,0.0005168344,0.0000900727,0.000026356478],"category_scores_gemma":[0.0000021770004,0.0001581985,0.00024404404,0.0003577786,0.0000399774,0.00035556365,0.0000033965498,0.00026396333,0.00034551395],"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":[0.000006366451,0.00030749285,0.0000040241302,0.00008901482,0.00015387393,0.000053688487,0.0018872396,0.947644,0.0010845124,0.024982994,0.006640333,0.017146455],"study_design_scores_gemma":[0.00024847157,0.00011645997,0.000016490801,0.00019101656,0.000018114415,0.00027033614,0.0004001628,0.95855564,0.0304117,0.002453373,0.006899026,0.00041919504],"about_ca_topic_score_codex":0.000071533155,"about_ca_topic_score_gemma":0.000008275926,"teacher_disagreement_score":0.9796586,"about_ca_system_score_codex":0.000095964664,"about_ca_system_score_gemma":0.00012840128,"threshold_uncertainty_score":0.6451148},"labels":[],"label_agreement":null},{"id":"W4205655262","doi":"10.1109/jproc.2021.3109706","title":"Proceedings of the IEEE publication information","year":2021,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Library science; World Wide Web; Information retrieval","score_opus":0.008309317969230002,"score_gpt":0.20194501736511952,"score_spread":0.1936356993958895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205655262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9288708,0.000024535648,0.0005427888,0.015959047,0.0013487692,0.00033015857,0.000003840675,0.00008378255,0.052836284],"genre_scores_gemma":[0.9947106,0.000006170719,0.002596089,0.0008437308,0.00007933947,0.00001298091,2.3975875e-7,0.0000059056806,0.0017449073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998764,0.0000022434017,0.0003786886,0.00016568198,0.0005106289,0.00017876193],"domain_scores_gemma":[0.997355,0.000014999373,0.0006380075,0.00015944698,0.0017997123,0.000032853448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037715392,0.00010941694,0.00014064803,0.00006293815,0.00011424615,0.00029250036,0.001872271,0.00006671024,0.000006311675],"category_scores_gemma":[0.00028102502,0.000067749184,0.00014137686,0.0007032192,0.0000704154,0.002385569,0.00038029967,0.00017277707,0.000009312735],"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":[0.000017982356,0.00015098786,0.004847398,0.00061126944,0.000067860645,6.650987e-8,0.008291568,0.000015486241,0.40475252,0.4118711,0.1616467,0.0077270386],"study_design_scores_gemma":[0.0001788457,0.000028709317,0.0035022004,0.00016830722,0.000013764749,0.000021327129,0.00019668472,0.0038064602,0.97338015,0.0061943373,0.012398591,0.00011062236],"about_ca_topic_score_codex":0.000015947067,"about_ca_topic_score_gemma":5.76301e-7,"teacher_disagreement_score":0.5686276,"about_ca_system_score_codex":0.0000408729,"about_ca_system_score_gemma":0.00006644234,"threshold_uncertainty_score":0.34791765},"labels":[],"label_agreement":null},{"id":"W4205974310","doi":"10.1109/jproc.2019.2941789","title":"Proceedings of the IEEE publication information","year":2019,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Library science","score_opus":0.005798276749226643,"score_gpt":0.1910634913405749,"score_spread":0.18526521459134826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205974310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948535,0.0000061214414,0.00013071114,0.004995693,0.0010175683,0.00043688607,0.000001823872,0.000056941393,0.044819232],"genre_scores_gemma":[0.99612737,0.000002528411,0.001183959,0.00058526907,0.0000567864,0.000011571479,1.2967801e-7,0.000006036167,0.002026352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876493,0.0000015920849,0.0003675984,0.00015934648,0.00052081,0.00018574823],"domain_scores_gemma":[0.99798787,0.000014236151,0.00076041615,0.00016743699,0.0010406354,0.000029389128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044779707,0.00011532945,0.00014626214,0.00008636127,0.0000756999,0.00022998547,0.0024656623,0.000069423695,0.000007697852],"category_scores_gemma":[0.00011745505,0.00006743758,0.00013022637,0.00051933527,0.000059218713,0.0028936376,0.00031770696,0.00017151098,0.000036216483],"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":[0.000037511174,0.00012897479,0.02030507,0.00085150945,0.00006582798,1.16614105e-8,0.0096212,0.000027581418,0.37483266,0.456928,0.1311346,0.006067043],"study_design_scores_gemma":[0.00038610373,0.00010539726,0.01059049,0.00029744898,0.000017007007,0.000013265814,0.00023610546,0.012037875,0.95155066,0.0074059446,0.017153157,0.00020652472],"about_ca_topic_score_codex":0.000023965067,"about_ca_topic_score_gemma":2.385791e-7,"teacher_disagreement_score":0.57671803,"about_ca_system_score_codex":0.000041420193,"about_ca_system_score_gemma":0.00003503046,"threshold_uncertainty_score":0.45818552},"labels":[],"label_agreement":null},{"id":"W4206058676","doi":"10.1109/jproc.2021.3075404","title":"Proceedings of the IEEE publication information","year":2021,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Information retrieval; Data science","score_opus":0.008309317969230002,"score_gpt":0.20194501736511952,"score_spread":0.1936356993958895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206058676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9288708,0.000024535648,0.0005427888,0.015959047,0.0013487692,0.00033015857,0.000003840675,0.00008378255,0.052836284],"genre_scores_gemma":[0.9947106,0.000006170719,0.002596089,0.0008437308,0.00007933947,0.00001298091,2.3975875e-7,0.0000059056806,0.0017449073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998764,0.0000022434017,0.0003786886,0.00016568198,0.0005106289,0.00017876193],"domain_scores_gemma":[0.997355,0.000014999373,0.0006380075,0.00015944698,0.0017997123,0.000032853448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037715392,0.00010941694,0.00014064803,0.00006293815,0.00011424615,0.00029250036,0.001872271,0.00006671024,0.000006311675],"category_scores_gemma":[0.00028102502,0.000067749184,0.00014137686,0.0007032192,0.0000704154,0.002385569,0.00038029967,0.00017277707,0.000009312735],"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":[0.000017982356,0.00015098786,0.004847398,0.00061126944,0.000067860645,6.650987e-8,0.008291568,0.000015486241,0.40475252,0.4118711,0.1616467,0.0077270386],"study_design_scores_gemma":[0.0001788457,0.000028709317,0.0035022004,0.00016830722,0.000013764749,0.000021327129,0.00019668472,0.0038064602,0.97338015,0.0061943373,0.012398591,0.00011062236],"about_ca_topic_score_codex":0.000015947067,"about_ca_topic_score_gemma":5.76301e-7,"teacher_disagreement_score":0.5686276,"about_ca_system_score_codex":0.0000408729,"about_ca_system_score_gemma":0.00006644234,"threshold_uncertainty_score":0.34791765},"labels":[],"label_agreement":null},{"id":"W4206092793","doi":"10.1109/jproc.2021.3120249","title":"Proceedings of the IEEE publication information","year":2021,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; World Wide Web; Library science","score_opus":0.008309317969230002,"score_gpt":0.20194501736511952,"score_spread":0.1936356993958895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206092793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9288708,0.000024535648,0.0005427888,0.015959047,0.0013487692,0.00033015857,0.000003840675,0.00008378255,0.052836284],"genre_scores_gemma":[0.9947106,0.000006170719,0.002596089,0.0008437308,0.00007933947,0.00001298091,2.3975875e-7,0.0000059056806,0.0017449073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998764,0.0000022434017,0.0003786886,0.00016568198,0.0005106289,0.00017876193],"domain_scores_gemma":[0.997355,0.000014999373,0.0006380075,0.00015944698,0.0017997123,0.000032853448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037715392,0.00010941694,0.00014064803,0.00006293815,0.00011424615,0.00029250036,0.001872271,0.00006671024,0.000006311675],"category_scores_gemma":[0.00028102502,0.000067749184,0.00014137686,0.0007032192,0.0000704154,0.002385569,0.00038029967,0.00017277707,0.000009312735],"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":[0.000017982356,0.00015098786,0.004847398,0.00061126944,0.000067860645,6.650987e-8,0.008291568,0.000015486241,0.40475252,0.4118711,0.1616467,0.0077270386],"study_design_scores_gemma":[0.0001788457,0.000028709317,0.0035022004,0.00016830722,0.000013764749,0.000021327129,0.00019668472,0.0038064602,0.97338015,0.0061943373,0.012398591,0.00011062236],"about_ca_topic_score_codex":0.000015947067,"about_ca_topic_score_gemma":5.76301e-7,"teacher_disagreement_score":0.5686276,"about_ca_system_score_codex":0.0000408729,"about_ca_system_score_gemma":0.00006644234,"threshold_uncertainty_score":0.34791765},"labels":[],"label_agreement":null},{"id":"W4206201025","doi":"10.1109/tcyb.2021.3134384","title":"IEEE Transactions on Cybernetics","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.01703339875355985,"score_gpt":0.24154321205632864,"score_spread":0.22450981330276878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206201025","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":[0.007265501,0.00006426663,0.9783168,0.0019753466,0.0043327846,0.00019571012,0.00004647084,0.00037021903,0.007432941],"genre_scores_gemma":[0.95102036,0.00026065117,0.021792889,0.0022090718,0.000118972115,0.000037756916,0.000002082418,0.000063052204,0.024495147],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99705815,0.00013077704,0.00053428207,0.0008624284,0.0007586605,0.0006556861],"domain_scores_gemma":[0.9978597,0.00024394368,0.00012387359,0.0012046306,0.00026606044,0.00030180355],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018155602,0.00044304217,0.00036668094,0.00023345563,0.00037240455,0.00039681955,0.000984495,0.0002776134,0.00045439723],"category_scores_gemma":[0.0000057243024,0.000465622,0.0004175399,0.00065328303,0.00011696493,0.0003133182,0.0000024519795,0.0009368966,0.0008385783],"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":[0.00016407006,0.0059248945,0.0000065135378,0.00013963637,0.00077645667,0.00083134277,0.006897456,0.3981614,0.019080598,0.024082499,0.010763474,0.53317165],"study_design_scores_gemma":[0.0014602841,0.00091126724,0.000054178177,0.00023574808,0.00015390193,0.0002724761,0.00014075478,0.13610707,0.8223825,0.0024907175,0.034603335,0.0011877792],"about_ca_topic_score_codex":0.00007710712,"about_ca_topic_score_gemma":0.0001703953,"teacher_disagreement_score":0.9565239,"about_ca_system_score_codex":0.00017376507,"about_ca_system_score_gemma":0.00018611694,"threshold_uncertainty_score":0.9999394},"labels":[],"label_agreement":null},{"id":"W4206215180","doi":"10.11159/newtech21","title":"Proceedings of the 7th World Congress on New Technologies","year":2021,"lang":"en","type":"paratext","venue":"Proceedings of the World Congress on New Technologies","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Imperial College London; Royal Society; Royal Society of Canada","keywords":"Computer science; Political science","score_opus":0.017681743269886946,"score_gpt":0.2525755855029231,"score_spread":0.23489384223303614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206215180","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":[0.03721465,0.01153795,0.000059186168,0.28715575,0.048040833,0.007244968,0.00018716608,0.00993283,0.5986267],"genre_scores_gemma":[0.16615061,0.0009834168,0.004739175,0.0006873753,0.00028239447,0.0001610344,0.0000029187017,0.00015186565,0.8268412],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99368113,0.000012816226,0.0013918214,0.0019000854,0.0018010964,0.0012130772],"domain_scores_gemma":[0.99353623,0.0002763788,0.0034636604,0.0016109552,0.0010135279,0.00009925123],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","open_science"],"category_scores_codex":[0.00046315457,0.0013629574,0.0018197217,0.0017802024,0.00042445573,0.00103725,0.01961968,0.0010245543,0.00007068678],"category_scores_gemma":[0.0013496677,0.000846393,0.000894084,0.0047577457,0.0015936369,0.00077372574,0.009139683,0.0033593122,0.00010501756],"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":[0.00007285289,0.00013937641,0.00025553376,0.00044241798,0.00024637036,0.0000025359866,0.0001094266,0.000013787663,0.0036654929,0.15814497,0.81431776,0.022589462],"study_design_scores_gemma":[0.000547583,0.0002565258,0.000041718653,0.007458704,0.00008327947,0.00001943565,0.00072466634,0.00010543804,0.60516346,0.015661776,0.3691655,0.00077188644],"about_ca_topic_score_codex":0.00010656545,"about_ca_topic_score_gemma":0.0000837202,"teacher_disagreement_score":0.601498,"about_ca_system_score_codex":0.0003141317,"about_ca_system_score_gemma":0.0004737943,"threshold_uncertainty_score":0.99999976},"labels":[],"label_agreement":null},{"id":"W4206619125","doi":"10.1109/tfuzz.2021.3119197","title":"IEEE Computational Intelligence Society","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Southern University of Science and Technology; Universidad de Granada; Inyuvesi Yakwazulu-Natali; Swinburne University of Technology; University of Warwick; Universidad del Atlántico; Università degli Studi di Milano-Bicocca; Università degli Studi di Milano; St. Francis Xavier University; University of Essex; Florida Atlantic University","keywords":"Computer science","score_opus":0.0227007443413198,"score_gpt":0.25110621035327846,"score_spread":0.22840546601195866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206619125","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":[0.0013587907,0.00010368356,0.99000734,0.0006942244,0.004957508,0.00011250479,0.000013546553,0.00020495245,0.0025474662],"genre_scores_gemma":[0.9810174,0.000020433232,0.014389417,0.0005676655,0.00011767192,0.000025434192,0.0000016924066,0.000012813627,0.0038474665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848956,0.000077745164,0.00031674997,0.00043122406,0.0004284782,0.0002562388],"domain_scores_gemma":[0.999058,0.000131526,0.0000786052,0.00039978416,0.00023003248,0.000102046615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020885607,0.00016008117,0.00018708195,0.000056988836,0.00023758889,0.0003487534,0.0005168344,0.0000900727,0.000026356478],"category_scores_gemma":[0.0000021770004,0.0001581985,0.00024404404,0.0003577786,0.0000399774,0.00035556365,0.0000033965498,0.00026396333,0.00034551395],"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":[0.000006366451,0.00030749285,0.0000040241302,0.00008901482,0.00015387393,0.000053688487,0.0018872396,0.947644,0.0010845124,0.024982994,0.006640333,0.017146455],"study_design_scores_gemma":[0.00024847157,0.00011645997,0.000016490801,0.00019101656,0.000018114415,0.00027033614,0.0004001628,0.95855564,0.0304117,0.002453373,0.006899026,0.00041919504],"about_ca_topic_score_codex":0.000071533155,"about_ca_topic_score_gemma":0.000008275926,"teacher_disagreement_score":0.9796586,"about_ca_system_score_codex":0.000095964664,"about_ca_system_score_gemma":0.00012840128,"threshold_uncertainty_score":0.6451148},"labels":[],"label_agreement":null},{"id":"W4206806752","doi":"10.1109/jproc.2021.3072760","title":"Proceedings of the IEEE publication information","year":2021,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Library science","score_opus":0.008309317969230002,"score_gpt":0.20194501736511952,"score_spread":0.1936356993958895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206806752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9288708,0.000024535648,0.0005427888,0.015959047,0.0013487692,0.00033015857,0.000003840675,0.00008378255,0.052836284],"genre_scores_gemma":[0.9947106,0.000006170719,0.002596089,0.0008437308,0.00007933947,0.00001298091,2.3975875e-7,0.0000059056806,0.0017449073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998764,0.0000022434017,0.0003786886,0.00016568198,0.0005106289,0.00017876193],"domain_scores_gemma":[0.997355,0.000014999373,0.0006380075,0.00015944698,0.0017997123,0.000032853448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037715392,0.00010941694,0.00014064803,0.00006293815,0.00011424615,0.00029250036,0.001872271,0.00006671024,0.000006311675],"category_scores_gemma":[0.00028102502,0.000067749184,0.00014137686,0.0007032192,0.0000704154,0.002385569,0.00038029967,0.00017277707,0.000009312735],"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":[0.000017982356,0.00015098786,0.004847398,0.00061126944,0.000067860645,6.650987e-8,0.008291568,0.000015486241,0.40475252,0.4118711,0.1616467,0.0077270386],"study_design_scores_gemma":[0.0001788457,0.000028709317,0.0035022004,0.00016830722,0.000013764749,0.000021327129,0.00019668472,0.0038064602,0.97338015,0.0061943373,0.012398591,0.00011062236],"about_ca_topic_score_codex":0.000015947067,"about_ca_topic_score_gemma":5.76301e-7,"teacher_disagreement_score":0.5686276,"about_ca_system_score_codex":0.0000408729,"about_ca_system_score_gemma":0.00006644234,"threshold_uncertainty_score":0.34791765},"labels":[],"label_agreement":null},{"id":"W4206914027","doi":"10.1109/tcyb.2021.3064670","title":"IEEE Transactions on Cybernetics","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Artificial intelligence","score_opus":0.01703339875355985,"score_gpt":0.24154321205632864,"score_spread":0.22450981330276878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206914027","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":[0.007265501,0.00006426663,0.9783168,0.0019753466,0.0043327846,0.00019571012,0.00004647084,0.00037021903,0.007432941],"genre_scores_gemma":[0.95102036,0.00026065117,0.021792889,0.0022090718,0.000118972115,0.000037756916,0.000002082418,0.000063052204,0.024495147],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99705815,0.00013077704,0.00053428207,0.0008624284,0.0007586605,0.0006556861],"domain_scores_gemma":[0.9978597,0.00024394368,0.00012387359,0.0012046306,0.00026606044,0.00030180355],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018155602,0.00044304217,0.00036668094,0.00023345563,0.00037240455,0.00039681955,0.000984495,0.0002776134,0.00045439723],"category_scores_gemma":[0.0000057243024,0.000465622,0.0004175399,0.00065328303,0.00011696493,0.0003133182,0.0000024519795,0.0009368966,0.0008385783],"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":[0.00016407006,0.0059248945,0.0000065135378,0.00013963637,0.00077645667,0.00083134277,0.006897456,0.3981614,0.019080598,0.024082499,0.010763474,0.53317165],"study_design_scores_gemma":[0.0014602841,0.00091126724,0.000054178177,0.00023574808,0.00015390193,0.0002724761,0.00014075478,0.13610707,0.8223825,0.0024907175,0.034603335,0.0011877792],"about_ca_topic_score_codex":0.00007710712,"about_ca_topic_score_gemma":0.0001703953,"teacher_disagreement_score":0.9565239,"about_ca_system_score_codex":0.00017376507,"about_ca_system_score_gemma":0.00018611694,"threshold_uncertainty_score":0.9999394},"labels":[],"label_agreement":null},{"id":"W4206953614","doi":"10.1109/tfuzz.2020.2998376","title":"IEEE Computational Intelligence Society","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Guangzhou University; Xiamen University; Brock University; Universidad Politécnica de Madrid; Victoria University; Victoria University of Wellington","keywords":"Computer science; Artificial intelligence","score_opus":0.032507331184523494,"score_gpt":0.24654326605762683,"score_spread":0.21403593487310335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206953614","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":[0.0008784619,0.000043052507,0.9922819,0.0024097105,0.0024621806,0.00018695211,0.000014165665,0.0003152216,0.0014083384],"genre_scores_gemma":[0.9882783,0.000009064947,0.009273686,0.0017365003,0.00016862173,0.000023383154,8.5125976e-7,0.000013370374,0.00049621135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856293,0.000054351072,0.0003158779,0.0004149119,0.00041364777,0.00023826967],"domain_scores_gemma":[0.9992961,0.00009660278,0.00008791187,0.00024463263,0.000107640764,0.00016708672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015267312,0.00016795265,0.00018969312,0.00004340609,0.00019736997,0.00027140116,0.0007268188,0.000079459074,0.000016593527],"category_scores_gemma":[0.0000020440993,0.00015931917,0.00021802082,0.00032193292,0.000041823143,0.00037544634,0.0000030720755,0.00028130165,0.00054577383],"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":[0.00001183452,0.00010613018,0.0000025823983,0.00008030153,0.00009073279,0.000011331845,0.003589434,0.96759826,0.0004946404,0.009866803,0.008402888,0.009745061],"study_design_scores_gemma":[0.00014754037,0.00017866198,0.000004659872,0.00005763369,0.000008930118,0.000026646234,0.00018306806,0.9901684,0.0046114074,0.0004635167,0.003915437,0.00023411133],"about_ca_topic_score_codex":0.000065389075,"about_ca_topic_score_gemma":0.0000017186023,"teacher_disagreement_score":0.9873999,"about_ca_system_score_codex":0.00006083248,"about_ca_system_score_gemma":0.0000594373,"threshold_uncertainty_score":0.70150006},"labels":[],"label_agreement":null},{"id":"W4206962298","doi":"10.1109/tfuzz.2021.3105315","title":"IEEE Computational Intelligence Society","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Southern University of Science and Technology; Universidad de Granada; Inyuvesi Yakwazulu-Natali; Swinburne University of Technology; University of Warwick; Universidad del Atlántico; Università degli Studi di Milano-Bicocca; Università degli Studi di Milano; St. Francis Xavier University; University of Essex; Florida Atlantic University","keywords":"Computer science","score_opus":0.0227007443413198,"score_gpt":0.25110621035327846,"score_spread":0.22840546601195866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206962298","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":[0.0013587907,0.00010368356,0.99000734,0.0006942244,0.004957508,0.00011250479,0.000013546553,0.00020495245,0.0025474662],"genre_scores_gemma":[0.9810174,0.000020433232,0.014389417,0.0005676655,0.00011767192,0.000025434192,0.0000016924066,0.000012813627,0.0038474665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848956,0.000077745164,0.00031674997,0.00043122406,0.0004284782,0.0002562388],"domain_scores_gemma":[0.999058,0.000131526,0.0000786052,0.00039978416,0.00023003248,0.000102046615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020885607,0.00016008117,0.00018708195,0.000056988836,0.00023758889,0.0003487534,0.0005168344,0.0000900727,0.000026356478],"category_scores_gemma":[0.0000021770004,0.0001581985,0.00024404404,0.0003577786,0.0000399774,0.00035556365,0.0000033965498,0.00026396333,0.00034551395],"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":[0.000006366451,0.00030749285,0.0000040241302,0.00008901482,0.00015387393,0.000053688487,0.0018872396,0.947644,0.0010845124,0.024982994,0.006640333,0.017146455],"study_design_scores_gemma":[0.00024847157,0.00011645997,0.000016490801,0.00019101656,0.000018114415,0.00027033614,0.0004001628,0.95855564,0.0304117,0.002453373,0.006899026,0.00041919504],"about_ca_topic_score_codex":0.000071533155,"about_ca_topic_score_gemma":0.000008275926,"teacher_disagreement_score":0.9796586,"about_ca_system_score_codex":0.000095964664,"about_ca_system_score_gemma":0.00012840128,"threshold_uncertainty_score":0.6451148},"labels":[],"label_agreement":null},{"id":"W4210244092","doi":"10.1109/jproc.2020.2994794","title":"Proceedings of the IEEE publication information","year":2020,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Library science; World Wide Web; Information retrieval","score_opus":0.012009916587081074,"score_gpt":0.19797477969419033,"score_spread":0.18596486310710925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210244092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90249896,0.000013889603,0.0009887358,0.05545456,0.00090011914,0.00061616674,0.000004857174,0.00014863042,0.039374053],"genre_scores_gemma":[0.9956915,0.0000029993503,0.001740127,0.0021460888,0.000105084255,0.000011756639,1.306908e-7,0.000005975381,0.00029635683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879694,0.0000016470153,0.0003778511,0.0001603222,0.0004954389,0.00016779218],"domain_scores_gemma":[0.9981918,0.000011521504,0.0007022242,0.00010487176,0.0009395653,0.000050049257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028699925,0.00011399546,0.00014222569,0.000049804486,0.000097590964,0.00023518641,0.0025040144,0.000059884813,0.0000041804597],"category_scores_gemma":[0.0002660953,0.00006817007,0.00012827672,0.00064281974,0.000073155585,0.0024925126,0.0003492579,0.00018260373,0.000013898311],"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":[0.000048878563,0.00009702285,0.0052928985,0.0008921928,0.00006888328,2.829074e-8,0.022704393,0.000029189336,0.3381121,0.30713746,0.31814682,0.007470156],"study_design_scores_gemma":[0.00029602833,0.00010678435,0.0030846463,0.00015482889,0.000019453417,0.000007678906,0.00025583702,0.020726757,0.95121115,0.0039388477,0.020024601,0.00017341261],"about_ca_topic_score_codex":0.000014676532,"about_ca_topic_score_gemma":1.5077363e-7,"teacher_disagreement_score":0.61309904,"about_ca_system_score_codex":0.000027773514,"about_ca_system_score_gemma":0.000034522047,"threshold_uncertainty_score":0.46531236},"labels":[],"label_agreement":null},{"id":"W4212779297","doi":"10.1109/tcyb.2019.2922892","title":"IEEE Transactions on Cybernetics","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.012578493928432865,"score_gpt":0.23092227603004709,"score_spread":0.21834378210161423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212779297","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030376984,0.000025662728,0.95219916,0.0009934969,0.0052869455,0.0004253036,0.000035167977,0.00040568504,0.010251614],"genre_scores_gemma":[0.96020687,0.00010527484,0.009816461,0.0015220105,0.00008383443,0.000034168257,0.00000112041,0.00006438131,0.028165862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970995,0.00009250162,0.0005192189,0.00083214155,0.0007765339,0.0006800679],"domain_scores_gemma":[0.9979446,0.00023215986,0.00014683642,0.0012577071,0.00015004653,0.00026867245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021556763,0.00046725347,0.00038202046,0.00032411303,0.00024413131,0.00031256472,0.0013005782,0.00028681045,0.00057988573],"category_scores_gemma":[0.0000023372986,0.00046420397,0.00038594057,0.0004907978,0.00009695008,0.00037858437,0.0000020569712,0.00093488395,0.0032785244],"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":[0.00028356325,0.00411828,0.000022966538,0.0001630596,0.00062317227,0.0001192809,0.006630173,0.59444755,0.014153254,0.021743214,0.0068484726,0.35084698],"study_design_scores_gemma":[0.0031589852,0.003414804,0.00016442432,0.00042509948,0.00018959082,0.00016530362,0.00017502575,0.4279969,0.5113459,0.0029376713,0.047797043,0.0022292475],"about_ca_topic_score_codex":0.000116831034,"about_ca_topic_score_gemma":0.00006991054,"teacher_disagreement_score":0.9423827,"about_ca_system_score_codex":0.00017743089,"about_ca_system_score_gemma":0.0000967863,"threshold_uncertainty_score":0.99978095},"labels":[],"label_agreement":null},{"id":"W4212871156","doi":"10.1109/jproc.2020.3002601","title":"Proceedings of the IEEE publication information","year":2020,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Information retrieval; Library science","score_opus":0.012009916587081074,"score_gpt":0.19797477969419033,"score_spread":0.18596486310710925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212871156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90249896,0.000013889603,0.0009887358,0.05545456,0.00090011914,0.00061616674,0.000004857174,0.00014863042,0.039374053],"genre_scores_gemma":[0.9956915,0.0000029993503,0.001740127,0.0021460888,0.000105084255,0.000011756639,1.306908e-7,0.000005975381,0.00029635683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879694,0.0000016470153,0.0003778511,0.0001603222,0.0004954389,0.00016779218],"domain_scores_gemma":[0.9981918,0.000011521504,0.0007022242,0.00010487176,0.0009395653,0.000050049257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028699925,0.00011399546,0.00014222569,0.000049804486,0.000097590964,0.00023518641,0.0025040144,0.000059884813,0.0000041804597],"category_scores_gemma":[0.0002660953,0.00006817007,0.00012827672,0.00064281974,0.000073155585,0.0024925126,0.0003492579,0.00018260373,0.000013898311],"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":[0.000048878563,0.00009702285,0.0052928985,0.0008921928,0.00006888328,2.829074e-8,0.022704393,0.000029189336,0.3381121,0.30713746,0.31814682,0.007470156],"study_design_scores_gemma":[0.00029602833,0.00010678435,0.0030846463,0.00015482889,0.000019453417,0.000007678906,0.00025583702,0.020726757,0.95121115,0.0039388477,0.020024601,0.00017341261],"about_ca_topic_score_codex":0.000014676532,"about_ca_topic_score_gemma":1.5077363e-7,"teacher_disagreement_score":0.61309904,"about_ca_system_score_codex":0.000027773514,"about_ca_system_score_gemma":0.000034522047,"threshold_uncertainty_score":0.46531236},"labels":[],"label_agreement":null},{"id":"W4213189060","doi":"10.1109/tfuzz.2019.2916515","title":"IEEE Computational Intelligence Society","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science","score_opus":0.015887483165955407,"score_gpt":0.23826303261510268,"score_spread":0.22237554944914728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213189060","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071027703,0.000036323774,0.9821345,0.00031626024,0.0062171943,0.00027276453,0.000009848742,0.0002273782,0.0036829342],"genre_scores_gemma":[0.98878646,0.0000075388048,0.005987816,0.0003852599,0.000081984894,0.000023572818,8.6639653e-7,0.000013633843,0.004712848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851996,0.00005235334,0.00030656284,0.00041394745,0.00044000678,0.00026715442],"domain_scores_gemma":[0.99915123,0.00012429195,0.00009546012,0.0004200054,0.00011962567,0.00008935956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025409952,0.00017011125,0.00019604336,0.000082887724,0.00014669832,0.0002655442,0.00071039627,0.000093496106,0.000034808018],"category_scores_gemma":[7.829439e-7,0.00015764567,0.0002230573,0.00025802874,0.000032269778,0.00044134207,0.000002779073,0.00026330102,0.001641629],"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":[0.000009003989,0.00015368327,0.000012845683,0.00008044411,0.00009063139,0.000004427636,0.0013658503,0.96996915,0.00058361667,0.016844317,0.0030027549,0.007883283],"study_design_scores_gemma":[0.0002236603,0.00019634343,0.000021847934,0.00013962192,0.000008571247,0.000056982433,0.0001913148,0.98932,0.0047074603,0.0011047114,0.0037087144,0.00032079124],"about_ca_topic_score_codex":0.000114961724,"about_ca_topic_score_gemma":0.000002992046,"teacher_disagreement_score":0.98168373,"about_ca_system_score_codex":0.00009827235,"about_ca_system_score_gemma":0.000060860046,"threshold_uncertainty_score":0.99913573},"labels":[],"label_agreement":null},{"id":"W4213277400","doi":"10.1109/tetci.2021.3086577","title":"IEEE Computational Intelligence Society","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Internet of Things and AI","field":"Computer Science","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":"Simon Fraser University","funders":"","keywords":"Computer science; Computational intelligence; Artificial intelligence","score_opus":0.03632018987249527,"score_gpt":0.3087151736868459,"score_spread":0.2723949838143507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213277400","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":[0.0022984508,0.000081819206,0.9899015,0.0044110296,0.0023128807,0.00012636544,0.000010689907,0.00016256713,0.00069471676],"genre_scores_gemma":[0.75212324,0.00006295331,0.2452044,0.0017010886,0.00010106498,0.000021004233,0.0000067102233,0.000016378162,0.00076316844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973238,0.000102577105,0.0006861408,0.00076134526,0.00071127055,0.00041482606],"domain_scores_gemma":[0.998408,0.0005023236,0.00013197842,0.0003920565,0.00044885182,0.000116780524],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003435894,0.00028284095,0.00025967555,0.00020546078,0.0002951562,0.00024529945,0.00091264665,0.00012780256,0.00016853695],"category_scores_gemma":[0.000019430312,0.0003228321,0.000281581,0.00095250783,0.00012170444,0.000526654,0.000018726458,0.0006486429,0.00014101273],"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":[0.0000052025557,0.00023336595,0.000012434054,0.000020454028,0.00003642853,0.00003642809,0.0011999424,0.8774659,0.000023533079,0.060313635,0.00021856252,0.060434103],"study_design_scores_gemma":[0.00008580467,0.00005544268,0.00007808308,0.000107250584,0.0000062719305,0.000050843493,0.00015275214,0.87776655,0.011339901,0.109156325,0.00087949703,0.00032129805],"about_ca_topic_score_codex":0.000046196754,"about_ca_topic_score_gemma":0.00003587281,"teacher_disagreement_score":0.74982476,"about_ca_system_score_codex":0.00021362181,"about_ca_system_score_gemma":0.00028323164,"threshold_uncertainty_score":0.9999224},"labels":[],"label_agreement":null},{"id":"W4213344300","doi":"10.1109/tfuzz.2021.3107064","title":"IEEE Computational Intelligence Society","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","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":"Southern University of Science and Technology; Universidad de Granada; Inyuvesi Yakwazulu-Natali; Swinburne University of Technology; University of Warwick; Universidad del Atlántico; Università degli Studi di Milano-Bicocca; Università degli Studi di Milano; St. Francis Xavier University; University of Essex; Florida Atlantic University","keywords":"Computer science; Computational intelligence; Computational complexity theory; Artificial intelligence; Algorithm","score_opus":0.0227007443413198,"score_gpt":0.25110621035327846,"score_spread":0.22840546601195866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213344300","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":[0.0013587907,0.00010368356,0.99000734,0.0006942244,0.004957508,0.00011250479,0.000013546553,0.00020495245,0.0025474662],"genre_scores_gemma":[0.9810174,0.000020433232,0.014389417,0.0005676655,0.00011767192,0.000025434192,0.0000016924066,0.000012813627,0.0038474665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848956,0.000077745164,0.00031674997,0.00043122406,0.0004284782,0.0002562388],"domain_scores_gemma":[0.999058,0.000131526,0.0000786052,0.00039978416,0.00023003248,0.000102046615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020885607,0.00016008117,0.00018708195,0.000056988836,0.00023758889,0.0003487534,0.0005168344,0.0000900727,0.000026356478],"category_scores_gemma":[0.0000021770004,0.0001581985,0.00024404404,0.0003577786,0.0000399774,0.00035556365,0.0000033965498,0.00026396333,0.00034551395],"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":[0.000006366451,0.00030749285,0.0000040241302,0.00008901482,0.00015387393,0.000053688487,0.0018872396,0.947644,0.0010845124,0.024982994,0.006640333,0.017146455],"study_design_scores_gemma":[0.00024847157,0.00011645997,0.000016490801,0.00019101656,0.000018114415,0.00027033614,0.0004001628,0.95855564,0.0304117,0.002453373,0.006899026,0.00041919504],"about_ca_topic_score_codex":0.000071533155,"about_ca_topic_score_gemma":0.000008275926,"teacher_disagreement_score":0.9796586,"about_ca_system_score_codex":0.000095964664,"about_ca_system_score_gemma":0.00012840128,"threshold_uncertainty_score":0.6451148},"labels":[],"label_agreement":null},{"id":"W4221132850","doi":"10.1109/tfuzz.2022.3151534","title":"IEEE Computational Intelligence Society","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; University of Warwick; Southern University of Science and Technology; Universidad de Granada; Florida Atlantic University; Inyuvesi Yakwazulu-Natali; Swinburne University of Technology; Universidad del Atlántico; Università degli Studi di Milano-Bicocca; University of Essex; Università degli Studi di Milano; St. Francis Xavier University","keywords":"Computer science","score_opus":0.021284485547826523,"score_gpt":0.24269458773028557,"score_spread":0.22141010218245905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221132850","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":[0.0017490102,0.0000531566,0.98956877,0.0005744133,0.0059571993,0.00020861885,0.000031120057,0.00024522116,0.0016124947],"genre_scores_gemma":[0.99184424,0.0000047257704,0.0045656883,0.0005844161,0.00007828798,0.00011585945,0.0000016582591,0.00001379127,0.0027913537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830526,0.0001129425,0.00030804306,0.0003960896,0.000618072,0.00025960442],"domain_scores_gemma":[0.99926966,0.00011507622,0.00010232853,0.00035209273,0.00007782432,0.00008300518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037543953,0.00015170686,0.000164893,0.00009986498,0.0006568348,0.00020392405,0.0008988086,0.000040948788,0.00005791787],"category_scores_gemma":[8.188743e-7,0.00015683018,0.00022406131,0.00038062778,0.000036425725,0.00028054518,0.0000075095295,0.00039804797,0.00015323372],"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":[0.0000063582534,0.00014595759,0.0000014624271,0.000019078116,0.00004870933,0.0000079375,0.0013599097,0.97884303,0.00012795291,0.0091343215,0.0051117665,0.005193518],"study_design_scores_gemma":[0.00017791275,0.00024814898,0.000006186311,0.000027530981,0.000009492338,0.00014048957,0.000529018,0.98456836,0.0014718968,0.0015162184,0.011018831,0.00028593838],"about_ca_topic_score_codex":0.00015939932,"about_ca_topic_score_gemma":0.0000028378852,"teacher_disagreement_score":0.9900952,"about_ca_system_score_codex":0.00020017239,"about_ca_system_score_gemma":0.00008106888,"threshold_uncertainty_score":0.63953495},"labels":[],"label_agreement":null},{"id":"W4229959797","doi":"10.1109/tcyb.2019.2899799","title":"IEEE Transactions on Cybernetics","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.012578493928432865,"score_gpt":0.23092227603004709,"score_spread":0.21834378210161423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229959797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030376984,0.000025662728,0.95219916,0.0009934969,0.0052869455,0.0004253036,0.000035167977,0.00040568504,0.010251614],"genre_scores_gemma":[0.96020687,0.00010527484,0.009816461,0.0015220105,0.00008383443,0.000034168257,0.00000112041,0.00006438131,0.028165862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970995,0.00009250162,0.0005192189,0.00083214155,0.0007765339,0.0006800679],"domain_scores_gemma":[0.9979446,0.00023215986,0.00014683642,0.0012577071,0.00015004653,0.00026867245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021556763,0.00046725347,0.00038202046,0.00032411303,0.00024413131,0.00031256472,0.0013005782,0.00028681045,0.00057988573],"category_scores_gemma":[0.0000023372986,0.00046420397,0.00038594057,0.0004907978,0.00009695008,0.00037858437,0.0000020569712,0.00093488395,0.0032785244],"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":[0.00028356325,0.00411828,0.000022966538,0.0001630596,0.00062317227,0.0001192809,0.006630173,0.59444755,0.014153254,0.021743214,0.0068484726,0.35084698],"study_design_scores_gemma":[0.0031589852,0.003414804,0.00016442432,0.00042509948,0.00018959082,0.00016530362,0.00017502575,0.4279969,0.5113459,0.0029376713,0.047797043,0.0022292475],"about_ca_topic_score_codex":0.000116831034,"about_ca_topic_score_gemma":0.00006991054,"teacher_disagreement_score":0.9423827,"about_ca_system_score_codex":0.00017743089,"about_ca_system_score_gemma":0.0000967863,"threshold_uncertainty_score":0.99978095},"labels":[],"label_agreement":null},{"id":"W4230389609","doi":"10.1109/jproc.2020.2964133","title":"Proceedings of the IEEE publication information","year":2020,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; World Wide Web; Library science; Information retrieval","score_opus":0.012009916587081074,"score_gpt":0.19797477969419033,"score_spread":0.18596486310710925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230389609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90249896,0.000013889603,0.0009887358,0.05545456,0.00090011914,0.00061616674,0.000004857174,0.00014863042,0.039374053],"genre_scores_gemma":[0.9956915,0.0000029993503,0.001740127,0.0021460888,0.000105084255,0.000011756639,1.306908e-7,0.000005975381,0.00029635683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879694,0.0000016470153,0.0003778511,0.0001603222,0.0004954389,0.00016779218],"domain_scores_gemma":[0.9981918,0.000011521504,0.0007022242,0.00010487176,0.0009395653,0.000050049257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028699925,0.00011399546,0.00014222569,0.000049804486,0.000097590964,0.00023518641,0.0025040144,0.000059884813,0.0000041804597],"category_scores_gemma":[0.0002660953,0.00006817007,0.00012827672,0.00064281974,0.000073155585,0.0024925126,0.0003492579,0.00018260373,0.000013898311],"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":[0.000048878563,0.00009702285,0.0052928985,0.0008921928,0.00006888328,2.829074e-8,0.022704393,0.000029189336,0.3381121,0.30713746,0.31814682,0.007470156],"study_design_scores_gemma":[0.00029602833,0.00010678435,0.0030846463,0.00015482889,0.000019453417,0.000007678906,0.00025583702,0.020726757,0.95121115,0.0039388477,0.020024601,0.00017341261],"about_ca_topic_score_codex":0.000014676532,"about_ca_topic_score_gemma":1.5077363e-7,"teacher_disagreement_score":0.61309904,"about_ca_system_score_codex":0.000027773514,"about_ca_system_score_gemma":0.000034522047,"threshold_uncertainty_score":0.46531236},"labels":[],"label_agreement":null},{"id":"W4231372258","doi":"10.1109/tcyb.2020.2984874","title":"IEEE Transactions on Cybernetics","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.02311311682004189,"score_gpt":0.23770461277669733,"score_spread":0.21459149595665544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231372258","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":[0.004952616,0.000029667002,0.98152924,0.0058419295,0.0023390322,0.0003043526,0.000048167192,0.0005379249,0.0044171032],"genre_scores_gemma":[0.9749843,0.00012666335,0.014717428,0.00580875,0.00016143452,0.000034731165,0.0000011293839,0.000064799635,0.0041007916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99718654,0.00009559009,0.00053303194,0.0008338583,0.00073567283,0.0006152991],"domain_scores_gemma":[0.99829155,0.00018621453,0.00013665936,0.0007838604,0.00013684205,0.00046488323],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013798637,0.00046206077,0.00037116132,0.00018393432,0.00031657176,0.0003185836,0.0013269096,0.00024874858,0.00030308007],"category_scores_gemma":[0.0000054170737,0.0004685082,0.0003782827,0.0005955976,0.000121681645,0.0003286203,0.000002245538,0.0009905366,0.0012511397],"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":[0.0003345264,0.0027652218,0.000005231996,0.00015114895,0.0005791382,0.00025213286,0.014348734,0.5525084,0.011371196,0.012614224,0.01567767,0.38939238],"study_design_scores_gemma":[0.0018978321,0.002718527,0.000036743088,0.00016935029,0.00016994278,0.0000734555,0.00014559967,0.5261974,0.4227264,0.0011871225,0.043214623,0.0014630312],"about_ca_topic_score_codex":0.00007127853,"about_ca_topic_score_gemma":0.00004301177,"teacher_disagreement_score":0.9700317,"about_ca_system_score_codex":0.00011656213,"about_ca_system_score_gemma":0.00009479675,"threshold_uncertainty_score":0.99977666},"labels":[],"label_agreement":null},{"id":"W4231577112","doi":"10.1109/tetci.2019.2938433","title":"IEEE Transactions on Emerging Topics in Computational Intelligence","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Internet of Things and AI","field":"Computer Science","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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Data science","score_opus":0.03115165272467555,"score_gpt":0.3044738550862258,"score_spread":0.27332220236155025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231577112","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":[0.015762689,0.00003789872,0.97504,0.0040192613,0.003723013,0.0004296306,0.00001526899,0.0001677896,0.00080442196],"genre_scores_gemma":[0.9473702,0.000055211356,0.05001242,0.0011230172,0.00009696204,0.000050678504,0.0000052565656,0.00003216025,0.0012541224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962083,0.00015808601,0.0010757217,0.0010119651,0.0009223091,0.0006236111],"domain_scores_gemma":[0.9982579,0.0006262877,0.00020508205,0.0005246172,0.00024347292,0.00014266523],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051195355,0.0004497044,0.00042389217,0.0009810493,0.0002596033,0.00021583997,0.0012752671,0.00019852752,0.0003262996],"category_scores_gemma":[0.000013071767,0.0005074475,0.00025284727,0.0012465735,0.000115130715,0.0007407615,0.0000078599505,0.0011718412,0.00033879725],"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":[0.000028633749,0.00036833723,0.000045420496,0.000035886183,0.000028952958,0.00002265247,0.0017245619,0.8678586,0.000013932827,0.022763342,0.000025465193,0.107084215],"study_design_scores_gemma":[0.0002287681,0.00022740131,0.00022822112,0.0003178452,0.000007991276,0.000023523726,0.00022939696,0.9537816,0.0047977353,0.039049774,0.00057845085,0.0005292943],"about_ca_topic_score_codex":0.00020616363,"about_ca_topic_score_gemma":0.0001693939,"teacher_disagreement_score":0.9316075,"about_ca_system_score_codex":0.0004211939,"about_ca_system_score_gemma":0.0001949289,"threshold_uncertainty_score":0.99973774},"labels":[],"label_agreement":null},{"id":"W4231579862","doi":"10.1109/tetci.2019.2911787","title":"IEEE Computational Intelligence Society","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Computational intelligence; Artificial intelligence","score_opus":0.027486410070369383,"score_gpt":0.2970382420182139,"score_spread":0.2695518319478445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231579862","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":[0.009042951,0.000034479683,0.98443663,0.0023236575,0.0027805693,0.0002636545,0.000008102311,0.00017603001,0.0009339395],"genre_scores_gemma":[0.8547367,0.000029002706,0.1428748,0.0012965245,0.000077868564,0.000021155756,0.000004076581,0.000018101588,0.0009417541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99735963,0.00007413293,0.0006690353,0.0007392842,0.0007297668,0.0004281443],"domain_scores_gemma":[0.9985995,0.0004811628,0.00015342163,0.0004051351,0.00025651045,0.00010421259],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040279783,0.0002973402,0.00027031262,0.00028232145,0.00019708887,0.00019705448,0.0011851301,0.00013059366,0.00022290245],"category_scores_gemma":[0.00000824735,0.00032251424,0.0002628501,0.00074587786,0.000100548576,0.0006243269,0.000015994538,0.0006513396,0.0005040294],"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":[0.000008910619,0.00016825018,0.000041897296,0.000024703522,0.00003061012,0.000006133274,0.0011934795,0.90019745,0.000018017688,0.05611977,0.00014041214,0.042050347],"study_design_scores_gemma":[0.00010258524,0.000112757705,0.00012766843,0.00011063998,0.0000044240037,0.000018130955,0.00011371016,0.9192867,0.0031219397,0.075975716,0.00068771286,0.000338009],"about_ca_topic_score_codex":0.00006854607,"about_ca_topic_score_gemma":0.000015550193,"teacher_disagreement_score":0.84569377,"about_ca_system_score_codex":0.00021974987,"about_ca_system_score_gemma":0.00015208182,"threshold_uncertainty_score":0.9999227},"labels":[],"label_agreement":null},{"id":"W4232008424","doi":"10.23977/iotea","title":"Internet of Things (IoT) and Engineering Applications","year":2018,"lang":"en","type":"paratext","venue":"Internet of Things (IoT) and Engineering Applications","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internet of Things; Computer science; World Wide Web","score_opus":0.007335348584842616,"score_gpt":0.21318903880538587,"score_spread":0.20585369022054326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232008424","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":[0.004656268,0.003182606,0.9836177,0.0003634056,0.0008233441,0.0009685987,0.00004939925,0.00033009777,0.0060085673],"genre_scores_gemma":[0.5650098,0.0011762185,0.36974186,0.0007524593,0.0014516473,0.0018187236,0.00024403569,0.0004281682,0.059377097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99672246,0.000021846972,0.0011399,0.001088099,0.000450119,0.0005775759],"domain_scores_gemma":[0.99731326,0.00025850354,0.0007086758,0.0011132928,0.00033068645,0.00027558312],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046047755,0.00072937924,0.00095602137,0.0006528995,0.00007857225,0.00032538094,0.002255691,0.00054209976,0.00009172152],"category_scores_gemma":[0.000060977334,0.00076244125,0.00025029873,0.00046367123,0.0002085985,0.00037141703,0.0012820223,0.0008808475,0.00017486759],"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":[0.00012703029,0.0014198411,0.00021836489,0.020000836,0.004240657,0.000022007904,0.04477027,0.008779748,0.07606471,0.45100465,0.2814749,0.11187697],"study_design_scores_gemma":[0.00047935665,0.00024846516,0.00010481208,0.0017518621,0.00014505943,0.000117801996,0.000047689275,0.3525237,0.014011069,0.0006359573,0.62871253,0.0012216741],"about_ca_topic_score_codex":0.00063667,"about_ca_topic_score_gemma":0.0000022339475,"teacher_disagreement_score":0.61387587,"about_ca_system_score_codex":0.000115965646,"about_ca_system_score_gemma":0.000071494316,"threshold_uncertainty_score":0.99948263},"labels":[],"label_agreement":null},{"id":"W4232125872","doi":"10.1109/tcyb.2019.2905703","title":"IEEE Transactions on Cybernetics","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Artificial intelligence","score_opus":0.012578493928432865,"score_gpt":0.23092227603004709,"score_spread":0.21834378210161423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232125872","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030376984,0.000025662728,0.95219916,0.0009934969,0.0052869455,0.0004253036,0.000035167977,0.00040568504,0.010251614],"genre_scores_gemma":[0.96020687,0.00010527484,0.009816461,0.0015220105,0.00008383443,0.000034168257,0.00000112041,0.00006438131,0.028165862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970995,0.00009250162,0.0005192189,0.00083214155,0.0007765339,0.0006800679],"domain_scores_gemma":[0.9979446,0.00023215986,0.00014683642,0.0012577071,0.00015004653,0.00026867245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021556763,0.00046725347,0.00038202046,0.00032411303,0.00024413131,0.00031256472,0.0013005782,0.00028681045,0.00057988573],"category_scores_gemma":[0.0000023372986,0.00046420397,0.00038594057,0.0004907978,0.00009695008,0.00037858437,0.0000020569712,0.00093488395,0.0032785244],"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":[0.00028356325,0.00411828,0.000022966538,0.0001630596,0.00062317227,0.0001192809,0.006630173,0.59444755,0.014153254,0.021743214,0.0068484726,0.35084698],"study_design_scores_gemma":[0.0031589852,0.003414804,0.00016442432,0.00042509948,0.00018959082,0.00016530362,0.00017502575,0.4279969,0.5113459,0.0029376713,0.047797043,0.0022292475],"about_ca_topic_score_codex":0.000116831034,"about_ca_topic_score_gemma":0.00006991054,"teacher_disagreement_score":0.9423827,"about_ca_system_score_codex":0.00017743089,"about_ca_system_score_gemma":0.0000967863,"threshold_uncertainty_score":0.99978095},"labels":[],"label_agreement":null},{"id":"W4232331768","doi":"10.1109/tcyb.2014.2314869","title":"IEEE Transactions on Cybernetics publication information","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Data science; Information retrieval; Psychology; Artificial intelligence","score_opus":0.01100760061694055,"score_gpt":0.22233654838494873,"score_spread":0.21132894776800817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232331768","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":[0.0026791673,0.0000051864868,0.9804981,0.0025403136,0.0024058586,0.00030885777,0.000026968994,0.00044278934,0.011092795],"genre_scores_gemma":[0.9783698,0.000052275536,0.014531256,0.0028877654,0.00009022996,0.000066913475,0.0000066268667,0.000031400687,0.003963758],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976148,0.00010939351,0.0006231579,0.00044914073,0.0007141621,0.0004893602],"domain_scores_gemma":[0.99800426,0.00019572691,0.00023360987,0.0009762227,0.0003536189,0.00023654613],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036958308,0.00035489775,0.0002564129,0.00044996617,0.00035453963,0.00061241013,0.0010158153,0.00025436204,0.00015168253],"category_scores_gemma":[0.0000137840025,0.0003586301,0.00023015885,0.0005513363,0.00008924188,0.0013170091,0.0000016989526,0.00064873125,0.0014186924],"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":[0.00007493592,0.0010043285,0.0000029110288,0.0000622045,0.00013265347,0.0000025829509,0.003680984,0.14953087,0.00090778753,0.033900343,0.007732614,0.8029678],"study_design_scores_gemma":[0.001467459,0.0012537353,0.00012397801,0.00012546076,0.00008816704,0.00004724088,0.00006497194,0.7473901,0.13219914,0.002496532,0.11375805,0.0009851531],"about_ca_topic_score_codex":0.00009902681,"about_ca_topic_score_gemma":0.00004942475,"teacher_disagreement_score":0.9756906,"about_ca_system_score_codex":0.00016858801,"about_ca_system_score_gemma":0.00007109778,"threshold_uncertainty_score":0.9998866},"labels":[],"label_agreement":null},{"id":"W4232758644","doi":"10.1109/jproc.2020.3040566","title":"Proceedings of the IEEE publication information","year":2020,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Environmental science","score_opus":0.012009916587081074,"score_gpt":0.19797477969419033,"score_spread":0.18596486310710925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232758644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90249896,0.000013889603,0.0009887358,0.05545456,0.00090011914,0.00061616674,0.000004857174,0.00014863042,0.039374053],"genre_scores_gemma":[0.9956915,0.0000029993503,0.001740127,0.0021460888,0.000105084255,0.000011756639,1.306908e-7,0.000005975381,0.00029635683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879694,0.0000016470153,0.0003778511,0.0001603222,0.0004954389,0.00016779218],"domain_scores_gemma":[0.9981918,0.000011521504,0.0007022242,0.00010487176,0.0009395653,0.000050049257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028699925,0.00011399546,0.00014222569,0.000049804486,0.000097590964,0.00023518641,0.0025040144,0.000059884813,0.0000041804597],"category_scores_gemma":[0.0002660953,0.00006817007,0.00012827672,0.00064281974,0.000073155585,0.0024925126,0.0003492579,0.00018260373,0.000013898311],"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":[0.000048878563,0.00009702285,0.0052928985,0.0008921928,0.00006888328,2.829074e-8,0.022704393,0.000029189336,0.3381121,0.30713746,0.31814682,0.007470156],"study_design_scores_gemma":[0.00029602833,0.00010678435,0.0030846463,0.00015482889,0.000019453417,0.000007678906,0.00025583702,0.020726757,0.95121115,0.0039388477,0.020024601,0.00017341261],"about_ca_topic_score_codex":0.000014676532,"about_ca_topic_score_gemma":1.5077363e-7,"teacher_disagreement_score":0.61309904,"about_ca_system_score_codex":0.000027773514,"about_ca_system_score_gemma":0.000034522047,"threshold_uncertainty_score":0.46531236},"labels":[],"label_agreement":null},{"id":"W4232863843","doi":"10.1109/jproc.2021.3060201","title":"Proceedings of the IEEE publication information","year":2021,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Library science; World Wide Web","score_opus":0.008309317969230002,"score_gpt":0.20194501736511952,"score_spread":0.1936356993958895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232863843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9288708,0.000024535648,0.0005427888,0.015959047,0.0013487692,0.00033015857,0.000003840675,0.00008378255,0.052836284],"genre_scores_gemma":[0.9947106,0.000006170719,0.002596089,0.0008437308,0.00007933947,0.00001298091,2.3975875e-7,0.0000059056806,0.0017449073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998764,0.0000022434017,0.0003786886,0.00016568198,0.0005106289,0.00017876193],"domain_scores_gemma":[0.997355,0.000014999373,0.0006380075,0.00015944698,0.0017997123,0.000032853448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037715392,0.00010941694,0.00014064803,0.00006293815,0.00011424615,0.00029250036,0.001872271,0.00006671024,0.000006311675],"category_scores_gemma":[0.00028102502,0.000067749184,0.00014137686,0.0007032192,0.0000704154,0.002385569,0.00038029967,0.00017277707,0.000009312735],"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":[0.000017982356,0.00015098786,0.004847398,0.00061126944,0.000067860645,6.650987e-8,0.008291568,0.000015486241,0.40475252,0.4118711,0.1616467,0.0077270386],"study_design_scores_gemma":[0.0001788457,0.000028709317,0.0035022004,0.00016830722,0.000013764749,0.000021327129,0.00019668472,0.0038064602,0.97338015,0.0061943373,0.012398591,0.00011062236],"about_ca_topic_score_codex":0.000015947067,"about_ca_topic_score_gemma":5.76301e-7,"teacher_disagreement_score":0.5686276,"about_ca_system_score_codex":0.0000408729,"about_ca_system_score_gemma":0.00006644234,"threshold_uncertainty_score":0.34791765},"labels":[],"label_agreement":null},{"id":"W4233138161","doi":"10.1109/jproc.2019.2891138","title":"Proceedings of the IEEE publication information","year":2019,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Library science; Data science","score_opus":0.005798276749226643,"score_gpt":0.1910634913405749,"score_spread":0.18526521459134826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233138161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948535,0.0000061214414,0.00013071114,0.004995693,0.0010175683,0.00043688607,0.000001823872,0.000056941393,0.044819232],"genre_scores_gemma":[0.99612737,0.000002528411,0.001183959,0.00058526907,0.0000567864,0.000011571479,1.2967801e-7,0.000006036167,0.002026352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876493,0.0000015920849,0.0003675984,0.00015934648,0.00052081,0.00018574823],"domain_scores_gemma":[0.99798787,0.000014236151,0.00076041615,0.00016743699,0.0010406354,0.000029389128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044779707,0.00011532945,0.00014626214,0.00008636127,0.0000756999,0.00022998547,0.0024656623,0.000069423695,0.000007697852],"category_scores_gemma":[0.00011745505,0.00006743758,0.00013022637,0.00051933527,0.000059218713,0.0028936376,0.00031770696,0.00017151098,0.000036216483],"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":[0.000037511174,0.00012897479,0.02030507,0.00085150945,0.00006582798,1.16614105e-8,0.0096212,0.000027581418,0.37483266,0.456928,0.1311346,0.006067043],"study_design_scores_gemma":[0.00038610373,0.00010539726,0.01059049,0.00029744898,0.000017007007,0.000013265814,0.00023610546,0.012037875,0.95155066,0.0074059446,0.017153157,0.00020652472],"about_ca_topic_score_codex":0.000023965067,"about_ca_topic_score_gemma":2.385791e-7,"teacher_disagreement_score":0.57671803,"about_ca_system_score_codex":0.000041420193,"about_ca_system_score_gemma":0.00003503046,"threshold_uncertainty_score":0.45818552},"labels":[],"label_agreement":null},{"id":"W4233223197","doi":"10.1109/tfuzz.2019.2904134","title":"IEEE Computational Intelligence Society","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Computational intelligence; Artificial intelligence","score_opus":0.015887483165955407,"score_gpt":0.23826303261510268,"score_spread":0.22237554944914728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233223197","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071027703,0.000036323774,0.9821345,0.00031626024,0.0062171943,0.00027276453,0.000009848742,0.0002273782,0.0036829342],"genre_scores_gemma":[0.98878646,0.0000075388048,0.005987816,0.0003852599,0.000081984894,0.000023572818,8.6639653e-7,0.000013633843,0.004712848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851996,0.00005235334,0.00030656284,0.00041394745,0.00044000678,0.00026715442],"domain_scores_gemma":[0.99915123,0.00012429195,0.00009546012,0.0004200054,0.00011962567,0.00008935956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025409952,0.00017011125,0.00019604336,0.000082887724,0.00014669832,0.0002655442,0.00071039627,0.000093496106,0.000034808018],"category_scores_gemma":[7.829439e-7,0.00015764567,0.0002230573,0.00025802874,0.000032269778,0.00044134207,0.000002779073,0.00026330102,0.001641629],"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":[0.000009003989,0.00015368327,0.000012845683,0.00008044411,0.00009063139,0.000004427636,0.0013658503,0.96996915,0.00058361667,0.016844317,0.0030027549,0.007883283],"study_design_scores_gemma":[0.0002236603,0.00019634343,0.000021847934,0.00013962192,0.000008571247,0.000056982433,0.0001913148,0.98932,0.0047074603,0.0011047114,0.0037087144,0.00032079124],"about_ca_topic_score_codex":0.000114961724,"about_ca_topic_score_gemma":0.000002992046,"teacher_disagreement_score":0.98168373,"about_ca_system_score_codex":0.00009827235,"about_ca_system_score_gemma":0.000060860046,"threshold_uncertainty_score":0.99913573},"labels":[],"label_agreement":null},{"id":"W4233739397","doi":"10.1109/tetci.2020.2971309","title":"IEEE Transactions on Emerging Topics in Computational Intelligence","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Data science","score_opus":0.04748419380868413,"score_gpt":0.3101219750361722,"score_spread":0.2626377812274881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233739397","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":[0.00403021,0.000042362983,0.977809,0.015110034,0.0020198224,0.0003353082,0.000019414922,0.00020766268,0.00042619414],"genre_scores_gemma":[0.93149084,0.00006150348,0.064939976,0.0029865291,0.00015440072,0.000049613067,0.0000051136863,0.000031371193,0.00028067292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99626476,0.00016197786,0.0010967391,0.0010126062,0.00088499417,0.0005789165],"domain_scores_gemma":[0.99846345,0.00053016446,0.00019475604,0.00036803485,0.00022785945,0.00021574026],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036679071,0.00044601323,0.00041477548,0.00064026477,0.00031565042,0.00021876917,0.0012958972,0.00017872074,0.00019914265],"category_scores_gemma":[0.000024622053,0.0005107705,0.00024880044,0.0014336531,0.0001369353,0.0006677193,0.000008378438,0.0012221831,0.00016445862],"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":[0.000034172226,0.00028756724,0.000015745652,0.00003557504,0.000028783135,0.000041419924,0.0032440894,0.85964954,0.00001244874,0.016002376,0.000050110513,0.12059815],"study_design_scores_gemma":[0.00020216199,0.00024818725,0.0000959502,0.00020554771,0.000009523046,0.000016516573,0.00025728846,0.96648043,0.0054862862,0.025804842,0.0006938411,0.0004993987],"about_ca_topic_score_codex":0.0001424063,"about_ca_topic_score_gemma":0.00011711098,"teacher_disagreement_score":0.9274606,"about_ca_system_score_codex":0.00030628024,"about_ca_system_score_gemma":0.000191652,"threshold_uncertainty_score":0.9997344},"labels":[],"label_agreement":null},{"id":"W4233846875","doi":"10.1109/tfuzz.2019.2909611","title":"IEEE Computational Intelligence Society","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Computational intelligence; Artificial intelligence","score_opus":0.015887483165955407,"score_gpt":0.23826303261510268,"score_spread":0.22237554944914728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233846875","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071027703,0.000036323774,0.9821345,0.00031626024,0.0062171943,0.00027276453,0.000009848742,0.0002273782,0.0036829342],"genre_scores_gemma":[0.98878646,0.0000075388048,0.005987816,0.0003852599,0.000081984894,0.000023572818,8.6639653e-7,0.000013633843,0.004712848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851996,0.00005235334,0.00030656284,0.00041394745,0.00044000678,0.00026715442],"domain_scores_gemma":[0.99915123,0.00012429195,0.00009546012,0.0004200054,0.00011962567,0.00008935956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025409952,0.00017011125,0.00019604336,0.000082887724,0.00014669832,0.0002655442,0.00071039627,0.000093496106,0.000034808018],"category_scores_gemma":[7.829439e-7,0.00015764567,0.0002230573,0.00025802874,0.000032269778,0.00044134207,0.000002779073,0.00026330102,0.001641629],"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":[0.000009003989,0.00015368327,0.000012845683,0.00008044411,0.00009063139,0.000004427636,0.0013658503,0.96996915,0.00058361667,0.016844317,0.0030027549,0.007883283],"study_design_scores_gemma":[0.0002236603,0.00019634343,0.000021847934,0.00013962192,0.000008571247,0.000056982433,0.0001913148,0.98932,0.0047074603,0.0011047114,0.0037087144,0.00032079124],"about_ca_topic_score_codex":0.000114961724,"about_ca_topic_score_gemma":0.000002992046,"teacher_disagreement_score":0.98168373,"about_ca_system_score_codex":0.00009827235,"about_ca_system_score_gemma":0.000060860046,"threshold_uncertainty_score":0.99913573},"labels":[],"label_agreement":null},{"id":"W4234020291","doi":"10.1109/jproc.2018.2855381","title":"Proceedings of the IEEE publication information","year":2018,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Library science; Computer science; Data science; Information retrieval","score_opus":0.008612834583492449,"score_gpt":0.20939410426479255,"score_spread":0.2007812696813001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234020291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93008834,0.000006066824,0.0005752304,0.008044057,0.0013576876,0.00039805193,0.0000024808498,0.00008734574,0.059440747],"genre_scores_gemma":[0.9958493,0.0000020398993,0.002172756,0.0007328438,0.00017278938,0.0000123307855,9.3650286e-8,0.0000058962746,0.0010519179],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99877924,0.000001685222,0.00037334327,0.0001561973,0.0004943501,0.00019518551],"domain_scores_gemma":[0.99729764,0.000011507053,0.00074768736,0.00015678,0.0017527248,0.00003365439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048184136,0.00011474715,0.00012882112,0.00008834672,0.00015188284,0.00024719106,0.0025364382,0.000068629546,0.000006040079],"category_scores_gemma":[0.00020390237,0.00006689223,0.000111526715,0.00060311443,0.00017218005,0.0026818863,0.00033607264,0.0001429337,0.000021948206],"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":[0.000040858886,0.00012747684,0.005608867,0.0004216001,0.00006200457,1.250662e-8,0.0143549265,0.000002979621,0.27949923,0.3866089,0.30341542,0.009857728],"study_design_scores_gemma":[0.00020604116,0.00010909759,0.004739597,0.00017363549,0.0000137437,0.000010941044,0.0001350433,0.0062442375,0.9630048,0.007834965,0.017393623,0.00013426143],"about_ca_topic_score_codex":0.000028532833,"about_ca_topic_score_gemma":6.8066464e-7,"teacher_disagreement_score":0.6835056,"about_ca_system_score_codex":0.000039281098,"about_ca_system_score_gemma":0.000036330755,"threshold_uncertainty_score":0.47133756},"labels":[],"label_agreement":null},{"id":"W4234033027","doi":"10.1109/jproc.2018.2875285","title":"Proceedings of the IEEE publication information","year":2018,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Information retrieval; World Wide Web","score_opus":0.008612834583492449,"score_gpt":0.20939410426479255,"score_spread":0.2007812696813001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234033027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93008834,0.000006066824,0.0005752304,0.008044057,0.0013576876,0.00039805193,0.0000024808498,0.00008734574,0.059440747],"genre_scores_gemma":[0.9958493,0.0000020398993,0.002172756,0.0007328438,0.00017278938,0.0000123307855,9.3650286e-8,0.0000058962746,0.0010519179],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99877924,0.000001685222,0.00037334327,0.0001561973,0.0004943501,0.00019518551],"domain_scores_gemma":[0.99729764,0.000011507053,0.00074768736,0.00015678,0.0017527248,0.00003365439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048184136,0.00011474715,0.00012882112,0.00008834672,0.00015188284,0.00024719106,0.0025364382,0.000068629546,0.000006040079],"category_scores_gemma":[0.00020390237,0.00006689223,0.000111526715,0.00060311443,0.00017218005,0.0026818863,0.00033607264,0.0001429337,0.000021948206],"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":[0.000040858886,0.00012747684,0.005608867,0.0004216001,0.00006200457,1.250662e-8,0.0143549265,0.000002979621,0.27949923,0.3866089,0.30341542,0.009857728],"study_design_scores_gemma":[0.00020604116,0.00010909759,0.004739597,0.00017363549,0.0000137437,0.000010941044,0.0001350433,0.0062442375,0.9630048,0.007834965,0.017393623,0.00013426143],"about_ca_topic_score_codex":0.000028532833,"about_ca_topic_score_gemma":6.8066464e-7,"teacher_disagreement_score":0.6835056,"about_ca_system_score_codex":0.000039281098,"about_ca_system_score_gemma":0.000036330755,"threshold_uncertainty_score":0.47133756},"labels":[],"label_agreement":null},{"id":"W4234306647","doi":"10.1109/emr.2019.2947891","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2019,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","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","funders":"","keywords":"Engineering management; Engineering; Management; Business; Economics","score_opus":0.008862074356026525,"score_gpt":0.22700029640100766,"score_spread":0.21813822204498112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234306647","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":[0.009210815,0.041402273,0.917165,0.0055528423,0.0047163344,0.0037594975,0.0000043854557,0.0021135928,0.016075252],"genre_scores_gemma":[0.48761806,0.0936672,0.3976485,0.004043123,0.00031224173,0.00069119246,0.0000088708375,0.0001731615,0.01583764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984298,0.0000103035445,0.00034760055,0.00052874204,0.00026592138,0.00041768237],"domain_scores_gemma":[0.99906754,0.000027071554,0.00009408214,0.0007065627,0.000028686329,0.00007605066],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037591223,0.00031502498,0.0003924948,0.00020173368,0.00004378004,0.00013487648,0.00094630895,0.00006663487,0.0000149086145],"category_scores_gemma":[0.0000042765637,0.00030298918,0.00014194801,0.00060592877,0.000017110748,0.0003010988,0.00037204413,0.00025315804,0.00012320453],"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":[0.0000036121796,0.00017626389,0.00016896524,0.045535613,0.0015622402,0.00030274296,0.00033719497,0.008019255,0.0012051249,0.7768411,0.05107015,0.11477776],"study_design_scores_gemma":[0.0006256001,0.00016146876,0.00036622354,0.009207028,0.00014040085,0.000054100787,0.000038452377,0.11749029,0.00075825583,0.00026120341,0.86990416,0.0009927889],"about_ca_topic_score_codex":0.000001617652,"about_ca_topic_score_gemma":1.2674067e-7,"teacher_disagreement_score":0.818834,"about_ca_system_score_codex":0.00006881952,"about_ca_system_score_gemma":0.000004551004,"threshold_uncertainty_score":0.99994224},"labels":[],"label_agreement":null},{"id":"W4234412129","doi":"10.1109/jproc.2021.3098076","title":"Proceedings of the IEEE publication information","year":2021,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Information retrieval; Library science","score_opus":0.008309317969230002,"score_gpt":0.20194501736511952,"score_spread":0.1936356993958895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234412129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9288708,0.000024535648,0.0005427888,0.015959047,0.0013487692,0.00033015857,0.000003840675,0.00008378255,0.052836284],"genre_scores_gemma":[0.9947106,0.000006170719,0.002596089,0.0008437308,0.00007933947,0.00001298091,2.3975875e-7,0.0000059056806,0.0017449073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998764,0.0000022434017,0.0003786886,0.00016568198,0.0005106289,0.00017876193],"domain_scores_gemma":[0.997355,0.000014999373,0.0006380075,0.00015944698,0.0017997123,0.000032853448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037715392,0.00010941694,0.00014064803,0.00006293815,0.00011424615,0.00029250036,0.001872271,0.00006671024,0.000006311675],"category_scores_gemma":[0.00028102502,0.000067749184,0.00014137686,0.0007032192,0.0000704154,0.002385569,0.00038029967,0.00017277707,0.000009312735],"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":[0.000017982356,0.00015098786,0.004847398,0.00061126944,0.000067860645,6.650987e-8,0.008291568,0.000015486241,0.40475252,0.4118711,0.1616467,0.0077270386],"study_design_scores_gemma":[0.0001788457,0.000028709317,0.0035022004,0.00016830722,0.000013764749,0.000021327129,0.00019668472,0.0038064602,0.97338015,0.0061943373,0.012398591,0.00011062236],"about_ca_topic_score_codex":0.000015947067,"about_ca_topic_score_gemma":5.76301e-7,"teacher_disagreement_score":0.5686276,"about_ca_system_score_codex":0.0000408729,"about_ca_system_score_gemma":0.00006644234,"threshold_uncertainty_score":0.34791765},"labels":[],"label_agreement":null},{"id":"W4234924101","doi":"10.1109/jproc.2020.3023525","title":"Proceedings of the IEEE publication information","year":2020,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Library science; Computer science; World Wide Web; Information retrieval","score_opus":0.012009916587081074,"score_gpt":0.19797477969419033,"score_spread":0.18596486310710925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234924101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90249896,0.000013889603,0.0009887358,0.05545456,0.00090011914,0.00061616674,0.000004857174,0.00014863042,0.039374053],"genre_scores_gemma":[0.9956915,0.0000029993503,0.001740127,0.0021460888,0.000105084255,0.000011756639,1.306908e-7,0.000005975381,0.00029635683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879694,0.0000016470153,0.0003778511,0.0001603222,0.0004954389,0.00016779218],"domain_scores_gemma":[0.9981918,0.000011521504,0.0007022242,0.00010487176,0.0009395653,0.000050049257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028699925,0.00011399546,0.00014222569,0.000049804486,0.000097590964,0.00023518641,0.0025040144,0.000059884813,0.0000041804597],"category_scores_gemma":[0.0002660953,0.00006817007,0.00012827672,0.00064281974,0.000073155585,0.0024925126,0.0003492579,0.00018260373,0.000013898311],"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":[0.000048878563,0.00009702285,0.0052928985,0.0008921928,0.00006888328,2.829074e-8,0.022704393,0.000029189336,0.3381121,0.30713746,0.31814682,0.007470156],"study_design_scores_gemma":[0.00029602833,0.00010678435,0.0030846463,0.00015482889,0.000019453417,0.000007678906,0.00025583702,0.020726757,0.95121115,0.0039388477,0.020024601,0.00017341261],"about_ca_topic_score_codex":0.000014676532,"about_ca_topic_score_gemma":1.5077363e-7,"teacher_disagreement_score":0.61309904,"about_ca_system_score_codex":0.000027773514,"about_ca_system_score_gemma":0.000034522047,"threshold_uncertainty_score":0.46531236},"labels":[],"label_agreement":null},{"id":"W4235235237","doi":"10.1109/jproc.2020.2986526","title":"Proceedings of the IEEE publication information","year":2020,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Data science; Library science; Information retrieval","score_opus":0.012009916587081074,"score_gpt":0.19797477969419033,"score_spread":0.18596486310710925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235235237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90249896,0.000013889603,0.0009887358,0.05545456,0.00090011914,0.00061616674,0.000004857174,0.00014863042,0.039374053],"genre_scores_gemma":[0.9956915,0.0000029993503,0.001740127,0.0021460888,0.000105084255,0.000011756639,1.306908e-7,0.000005975381,0.00029635683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879694,0.0000016470153,0.0003778511,0.0001603222,0.0004954389,0.00016779218],"domain_scores_gemma":[0.9981918,0.000011521504,0.0007022242,0.00010487176,0.0009395653,0.000050049257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028699925,0.00011399546,0.00014222569,0.000049804486,0.000097590964,0.00023518641,0.0025040144,0.000059884813,0.0000041804597],"category_scores_gemma":[0.0002660953,0.00006817007,0.00012827672,0.00064281974,0.000073155585,0.0024925126,0.0003492579,0.00018260373,0.000013898311],"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":[0.000048878563,0.00009702285,0.0052928985,0.0008921928,0.00006888328,2.829074e-8,0.022704393,0.000029189336,0.3381121,0.30713746,0.31814682,0.007470156],"study_design_scores_gemma":[0.00029602833,0.00010678435,0.0030846463,0.00015482889,0.000019453417,0.000007678906,0.00025583702,0.020726757,0.95121115,0.0039388477,0.020024601,0.00017341261],"about_ca_topic_score_codex":0.000014676532,"about_ca_topic_score_gemma":1.5077363e-7,"teacher_disagreement_score":0.61309904,"about_ca_system_score_codex":0.000027773514,"about_ca_system_score_gemma":0.000034522047,"threshold_uncertainty_score":0.46531236},"labels":[],"label_agreement":null},{"id":"W4235693415","doi":"10.1109/tcyb.2018.2859278","title":"IEEE Transactions on Cybernetics","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.017496397266088766,"score_gpt":0.2484594518436753,"score_spread":0.23096305457758654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235693415","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":[0.010553515,0.000018688766,0.972265,0.0011933268,0.0052004773,0.00028289846,0.000035584155,0.0004597831,0.009990722],"genre_scores_gemma":[0.96481127,0.000085222855,0.018070254,0.0019265276,0.00026439806,0.00003636782,8.123082e-7,0.00006320127,0.014741928],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99710774,0.00009816525,0.0005274686,0.00081491726,0.0007359971,0.0007157142],"domain_scores_gemma":[0.99792737,0.0001874771,0.00014427469,0.0011759874,0.00025686895,0.00030805112],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023229036,0.0004648457,0.00033556533,0.00033263996,0.0004987282,0.00033672142,0.0013402712,0.00028350658,0.00044142184],"category_scores_gemma":[0.0000041281446,0.0004603713,0.00032941185,0.0005725118,0.0002886542,0.00034979885,0.000002179399,0.0007789001,0.0019635789],"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":[0.00044750737,0.005840663,0.000008879456,0.0001134949,0.0008431391,0.00018442092,0.014451253,0.093823366,0.014955955,0.026440777,0.02370718,0.81918335],"study_design_scores_gemma":[0.0017499081,0.003712142,0.00007659698,0.0002566647,0.00016093774,0.00014277385,0.000104125946,0.23645288,0.70240414,0.0032464408,0.05018234,0.00151104],"about_ca_topic_score_codex":0.00013988344,"about_ca_topic_score_gemma":0.00020342435,"teacher_disagreement_score":0.9542578,"about_ca_system_score_codex":0.00016742361,"about_ca_system_score_gemma":0.00010086863,"threshold_uncertainty_score":0.9997848},"labels":[],"label_agreement":null},{"id":"W4236366057","doi":"10.1109/emr.2019.2917576","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2019,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","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","funders":"","keywords":"Engineering management; Business; Engineering; Management; Economics","score_opus":0.008862074356026525,"score_gpt":0.22700029640100766,"score_spread":0.21813822204498112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236366057","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":[0.009210815,0.041402273,0.917165,0.0055528423,0.0047163344,0.0037594975,0.0000043854557,0.0021135928,0.016075252],"genre_scores_gemma":[0.48761806,0.0936672,0.3976485,0.004043123,0.00031224173,0.00069119246,0.0000088708375,0.0001731615,0.01583764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984298,0.0000103035445,0.00034760055,0.00052874204,0.00026592138,0.00041768237],"domain_scores_gemma":[0.99906754,0.000027071554,0.00009408214,0.0007065627,0.000028686329,0.00007605066],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037591223,0.00031502498,0.0003924948,0.00020173368,0.00004378004,0.00013487648,0.00094630895,0.00006663487,0.0000149086145],"category_scores_gemma":[0.0000042765637,0.00030298918,0.00014194801,0.00060592877,0.000017110748,0.0003010988,0.00037204413,0.00025315804,0.00012320453],"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":[0.0000036121796,0.00017626389,0.00016896524,0.045535613,0.0015622402,0.00030274296,0.00033719497,0.008019255,0.0012051249,0.7768411,0.05107015,0.11477776],"study_design_scores_gemma":[0.0006256001,0.00016146876,0.00036622354,0.009207028,0.00014040085,0.000054100787,0.000038452377,0.11749029,0.00075825583,0.00026120341,0.86990416,0.0009927889],"about_ca_topic_score_codex":0.000001617652,"about_ca_topic_score_gemma":1.2674067e-7,"teacher_disagreement_score":0.818834,"about_ca_system_score_codex":0.00006881952,"about_ca_system_score_gemma":0.000004551004,"threshold_uncertainty_score":0.99994224},"labels":[],"label_agreement":null},{"id":"W4236408716","doi":"10.1109/jproc.2021.3064620","title":"Proceedings of the IEEE publication information","year":2021,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Information retrieval; Library science","score_opus":0.008309317969230002,"score_gpt":0.20194501736511952,"score_spread":0.1936356993958895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236408716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9288708,0.000024535648,0.0005427888,0.015959047,0.0013487692,0.00033015857,0.000003840675,0.00008378255,0.052836284],"genre_scores_gemma":[0.9947106,0.000006170719,0.002596089,0.0008437308,0.00007933947,0.00001298091,2.3975875e-7,0.0000059056806,0.0017449073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998764,0.0000022434017,0.0003786886,0.00016568198,0.0005106289,0.00017876193],"domain_scores_gemma":[0.997355,0.000014999373,0.0006380075,0.00015944698,0.0017997123,0.000032853448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037715392,0.00010941694,0.00014064803,0.00006293815,0.00011424615,0.00029250036,0.001872271,0.00006671024,0.000006311675],"category_scores_gemma":[0.00028102502,0.000067749184,0.00014137686,0.0007032192,0.0000704154,0.002385569,0.00038029967,0.00017277707,0.000009312735],"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":[0.000017982356,0.00015098786,0.004847398,0.00061126944,0.000067860645,6.650987e-8,0.008291568,0.000015486241,0.40475252,0.4118711,0.1616467,0.0077270386],"study_design_scores_gemma":[0.0001788457,0.000028709317,0.0035022004,0.00016830722,0.000013764749,0.000021327129,0.00019668472,0.0038064602,0.97338015,0.0061943373,0.012398591,0.00011062236],"about_ca_topic_score_codex":0.000015947067,"about_ca_topic_score_gemma":5.76301e-7,"teacher_disagreement_score":0.5686276,"about_ca_system_score_codex":0.0000408729,"about_ca_system_score_gemma":0.00006644234,"threshold_uncertainty_score":0.34791765},"labels":[],"label_agreement":null},{"id":"W4237048455","doi":"10.1109/tfuzz.2020.3044764","title":"IEEE Computational Intelligence Society","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Universidad de Granada; Brock University; University of Warwick; Universidad Politécnica de Madrid; University of Essex; Victoria University; Victoria University of Wellington","keywords":"Computer science","score_opus":0.032507331184523494,"score_gpt":0.24654326605762683,"score_spread":0.21403593487310335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237048455","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":[0.0008784619,0.000043052507,0.9922819,0.0024097105,0.0024621806,0.00018695211,0.000014165665,0.0003152216,0.0014083384],"genre_scores_gemma":[0.9882783,0.000009064947,0.009273686,0.0017365003,0.00016862173,0.000023383154,8.5125976e-7,0.000013370374,0.00049621135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856293,0.000054351072,0.0003158779,0.0004149119,0.00041364777,0.00023826967],"domain_scores_gemma":[0.9992961,0.00009660278,0.00008791187,0.00024463263,0.000107640764,0.00016708672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015267312,0.00016795265,0.00018969312,0.00004340609,0.00019736997,0.00027140116,0.0007268188,0.000079459074,0.000016593527],"category_scores_gemma":[0.0000020440993,0.00015931917,0.00021802082,0.00032193292,0.000041823143,0.00037544634,0.0000030720755,0.00028130165,0.00054577383],"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":[0.00001183452,0.00010613018,0.0000025823983,0.00008030153,0.00009073279,0.000011331845,0.003589434,0.96759826,0.0004946404,0.009866803,0.008402888,0.009745061],"study_design_scores_gemma":[0.00014754037,0.00017866198,0.000004659872,0.00005763369,0.000008930118,0.000026646234,0.00018306806,0.9901684,0.0046114074,0.0004635167,0.003915437,0.00023411133],"about_ca_topic_score_codex":0.000065389075,"about_ca_topic_score_gemma":0.0000017186023,"teacher_disagreement_score":0.9873999,"about_ca_system_score_codex":0.00006083248,"about_ca_system_score_gemma":0.0000594373,"threshold_uncertainty_score":0.70150006},"labels":[],"label_agreement":null},{"id":"W4237817238","doi":"10.1109/tcyb.2021.3099710","title":"IEEE Transactions on Cybernetics","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.01703339875355985,"score_gpt":0.24154321205632864,"score_spread":0.22450981330276878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237817238","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":[0.007265501,0.00006426663,0.9783168,0.0019753466,0.0043327846,0.00019571012,0.00004647084,0.00037021903,0.007432941],"genre_scores_gemma":[0.95102036,0.00026065117,0.021792889,0.0022090718,0.000118972115,0.000037756916,0.000002082418,0.000063052204,0.024495147],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99705815,0.00013077704,0.00053428207,0.0008624284,0.0007586605,0.0006556861],"domain_scores_gemma":[0.9978597,0.00024394368,0.00012387359,0.0012046306,0.00026606044,0.00030180355],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018155602,0.00044304217,0.00036668094,0.00023345563,0.00037240455,0.00039681955,0.000984495,0.0002776134,0.00045439723],"category_scores_gemma":[0.0000057243024,0.000465622,0.0004175399,0.00065328303,0.00011696493,0.0003133182,0.0000024519795,0.0009368966,0.0008385783],"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":[0.00016407006,0.0059248945,0.0000065135378,0.00013963637,0.00077645667,0.00083134277,0.006897456,0.3981614,0.019080598,0.024082499,0.010763474,0.53317165],"study_design_scores_gemma":[0.0014602841,0.00091126724,0.000054178177,0.00023574808,0.00015390193,0.0002724761,0.00014075478,0.13610707,0.8223825,0.0024907175,0.034603335,0.0011877792],"about_ca_topic_score_codex":0.00007710712,"about_ca_topic_score_gemma":0.0001703953,"teacher_disagreement_score":0.9565239,"about_ca_system_score_codex":0.00017376507,"about_ca_system_score_gemma":0.00018611694,"threshold_uncertainty_score":0.9999394},"labels":[],"label_agreement":null},{"id":"W4237859912","doi":"10.1109/tetci.2020.2964184","title":"IEEE Transactions on Emerging Topics in Computational Intelligence","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Data science","score_opus":0.04748419380868413,"score_gpt":0.3101219750361722,"score_spread":0.2626377812274881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237859912","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":[0.00403021,0.000042362983,0.977809,0.015110034,0.0020198224,0.0003353082,0.000019414922,0.00020766268,0.00042619414],"genre_scores_gemma":[0.93149084,0.00006150348,0.064939976,0.0029865291,0.00015440072,0.000049613067,0.0000051136863,0.000031371193,0.00028067292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99626476,0.00016197786,0.0010967391,0.0010126062,0.00088499417,0.0005789165],"domain_scores_gemma":[0.99846345,0.00053016446,0.00019475604,0.00036803485,0.00022785945,0.00021574026],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036679071,0.00044601323,0.00041477548,0.00064026477,0.00031565042,0.00021876917,0.0012958972,0.00017872074,0.00019914265],"category_scores_gemma":[0.000024622053,0.0005107705,0.00024880044,0.0014336531,0.0001369353,0.0006677193,0.000008378438,0.0012221831,0.00016445862],"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":[0.000034172226,0.00028756724,0.000015745652,0.00003557504,0.000028783135,0.000041419924,0.0032440894,0.85964954,0.00001244874,0.016002376,0.000050110513,0.12059815],"study_design_scores_gemma":[0.00020216199,0.00024818725,0.0000959502,0.00020554771,0.000009523046,0.000016516573,0.00025728846,0.96648043,0.0054862862,0.025804842,0.0006938411,0.0004993987],"about_ca_topic_score_codex":0.0001424063,"about_ca_topic_score_gemma":0.00011711098,"teacher_disagreement_score":0.9274606,"about_ca_system_score_codex":0.00030628024,"about_ca_system_score_gemma":0.000191652,"threshold_uncertainty_score":0.9997344},"labels":[],"label_agreement":null},{"id":"W4238504012","doi":"10.1109/tcyb.2018.2890396","title":"IEEE Transactions on Cybernetics","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.012578493928432865,"score_gpt":0.23092227603004709,"score_spread":0.21834378210161423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238504012","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030376984,0.000025662728,0.95219916,0.0009934969,0.0052869455,0.0004253036,0.000035167977,0.00040568504,0.010251614],"genre_scores_gemma":[0.96020687,0.00010527484,0.009816461,0.0015220105,0.00008383443,0.000034168257,0.00000112041,0.00006438131,0.028165862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970995,0.00009250162,0.0005192189,0.00083214155,0.0007765339,0.0006800679],"domain_scores_gemma":[0.9979446,0.00023215986,0.00014683642,0.0012577071,0.00015004653,0.00026867245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021556763,0.00046725347,0.00038202046,0.00032411303,0.00024413131,0.00031256472,0.0013005782,0.00028681045,0.00057988573],"category_scores_gemma":[0.0000023372986,0.00046420397,0.00038594057,0.0004907978,0.00009695008,0.00037858437,0.0000020569712,0.00093488395,0.0032785244],"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":[0.00028356325,0.00411828,0.000022966538,0.0001630596,0.00062317227,0.0001192809,0.006630173,0.59444755,0.014153254,0.021743214,0.0068484726,0.35084698],"study_design_scores_gemma":[0.0031589852,0.003414804,0.00016442432,0.00042509948,0.00018959082,0.00016530362,0.00017502575,0.4279969,0.5113459,0.0029376713,0.047797043,0.0022292475],"about_ca_topic_score_codex":0.000116831034,"about_ca_topic_score_gemma":0.00006991054,"teacher_disagreement_score":0.9423827,"about_ca_system_score_codex":0.00017743089,"about_ca_system_score_gemma":0.0000967863,"threshold_uncertainty_score":0.99978095},"labels":[],"label_agreement":null},{"id":"W4238512782","doi":"10.1109/tcyb.2021.3078404","title":"IEEE Transactions on Cybernetics","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.01703339875355985,"score_gpt":0.24154321205632864,"score_spread":0.22450981330276878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238512782","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":[0.007265501,0.00006426663,0.9783168,0.0019753466,0.0043327846,0.00019571012,0.00004647084,0.00037021903,0.007432941],"genre_scores_gemma":[0.95102036,0.00026065117,0.021792889,0.0022090718,0.000118972115,0.000037756916,0.000002082418,0.000063052204,0.024495147],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99705815,0.00013077704,0.00053428207,0.0008624284,0.0007586605,0.0006556861],"domain_scores_gemma":[0.9978597,0.00024394368,0.00012387359,0.0012046306,0.00026606044,0.00030180355],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018155602,0.00044304217,0.00036668094,0.00023345563,0.00037240455,0.00039681955,0.000984495,0.0002776134,0.00045439723],"category_scores_gemma":[0.0000057243024,0.000465622,0.0004175399,0.00065328303,0.00011696493,0.0003133182,0.0000024519795,0.0009368966,0.0008385783],"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":[0.00016407006,0.0059248945,0.0000065135378,0.00013963637,0.00077645667,0.00083134277,0.006897456,0.3981614,0.019080598,0.024082499,0.010763474,0.53317165],"study_design_scores_gemma":[0.0014602841,0.00091126724,0.000054178177,0.00023574808,0.00015390193,0.0002724761,0.00014075478,0.13610707,0.8223825,0.0024907175,0.034603335,0.0011877792],"about_ca_topic_score_codex":0.00007710712,"about_ca_topic_score_gemma":0.0001703953,"teacher_disagreement_score":0.9565239,"about_ca_system_score_codex":0.00017376507,"about_ca_system_score_gemma":0.00018611694,"threshold_uncertainty_score":0.9999394},"labels":[],"label_agreement":null},{"id":"W4238521532","doi":"10.1109/tcyb.2019.2956023","title":"IEEE Transactions on Cybernetics","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.012578493928432865,"score_gpt":0.23092227603004709,"score_spread":0.21834378210161423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238521532","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030376984,0.000025662728,0.95219916,0.0009934969,0.0052869455,0.0004253036,0.000035167977,0.00040568504,0.010251614],"genre_scores_gemma":[0.96020687,0.00010527484,0.009816461,0.0015220105,0.00008383443,0.000034168257,0.00000112041,0.00006438131,0.028165862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970995,0.00009250162,0.0005192189,0.00083214155,0.0007765339,0.0006800679],"domain_scores_gemma":[0.9979446,0.00023215986,0.00014683642,0.0012577071,0.00015004653,0.00026867245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021556763,0.00046725347,0.00038202046,0.00032411303,0.00024413131,0.00031256472,0.0013005782,0.00028681045,0.00057988573],"category_scores_gemma":[0.0000023372986,0.00046420397,0.00038594057,0.0004907978,0.00009695008,0.00037858437,0.0000020569712,0.00093488395,0.0032785244],"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":[0.00028356325,0.00411828,0.000022966538,0.0001630596,0.00062317227,0.0001192809,0.006630173,0.59444755,0.014153254,0.021743214,0.0068484726,0.35084698],"study_design_scores_gemma":[0.0031589852,0.003414804,0.00016442432,0.00042509948,0.00018959082,0.00016530362,0.00017502575,0.4279969,0.5113459,0.0029376713,0.047797043,0.0022292475],"about_ca_topic_score_codex":0.000116831034,"about_ca_topic_score_gemma":0.00006991054,"teacher_disagreement_score":0.9423827,"about_ca_system_score_codex":0.00017743089,"about_ca_system_score_gemma":0.0000967863,"threshold_uncertainty_score":0.99978095},"labels":[],"label_agreement":null},{"id":"W4239852713","doi":"10.1109/tcyb.2018.2884599","title":"IEEE Transactions on Cybernetics","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.017496397266088766,"score_gpt":0.2484594518436753,"score_spread":0.23096305457758654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239852713","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":[0.010553515,0.000018688766,0.972265,0.0011933268,0.0052004773,0.00028289846,0.000035584155,0.0004597831,0.009990722],"genre_scores_gemma":[0.96481127,0.000085222855,0.018070254,0.0019265276,0.00026439806,0.00003636782,8.123082e-7,0.00006320127,0.014741928],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99710774,0.00009816525,0.0005274686,0.00081491726,0.0007359971,0.0007157142],"domain_scores_gemma":[0.99792737,0.0001874771,0.00014427469,0.0011759874,0.00025686895,0.00030805112],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023229036,0.0004648457,0.00033556533,0.00033263996,0.0004987282,0.00033672142,0.0013402712,0.00028350658,0.00044142184],"category_scores_gemma":[0.0000041281446,0.0004603713,0.00032941185,0.0005725118,0.0002886542,0.00034979885,0.000002179399,0.0007789001,0.0019635789],"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":[0.00044750737,0.005840663,0.000008879456,0.0001134949,0.0008431391,0.00018442092,0.014451253,0.093823366,0.014955955,0.026440777,0.02370718,0.81918335],"study_design_scores_gemma":[0.0017499081,0.003712142,0.00007659698,0.0002566647,0.00016093774,0.00014277385,0.000104125946,0.23645288,0.70240414,0.0032464408,0.05018234,0.00151104],"about_ca_topic_score_codex":0.00013988344,"about_ca_topic_score_gemma":0.00020342435,"teacher_disagreement_score":0.9542578,"about_ca_system_score_codex":0.00016742361,"about_ca_system_score_gemma":0.00010086863,"threshold_uncertainty_score":0.9997848},"labels":[],"label_agreement":null},{"id":"W4240048717","doi":"10.1109/jproc.2019.2927987","title":"Proceedings of the IEEE publication information","year":2019,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Information retrieval; Data science; World Wide Web","score_opus":0.005798276749226643,"score_gpt":0.1910634913405749,"score_spread":0.18526521459134826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240048717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948535,0.0000061214414,0.00013071114,0.004995693,0.0010175683,0.00043688607,0.000001823872,0.000056941393,0.044819232],"genre_scores_gemma":[0.99612737,0.000002528411,0.001183959,0.00058526907,0.0000567864,0.000011571479,1.2967801e-7,0.000006036167,0.002026352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876493,0.0000015920849,0.0003675984,0.00015934648,0.00052081,0.00018574823],"domain_scores_gemma":[0.99798787,0.000014236151,0.00076041615,0.00016743699,0.0010406354,0.000029389128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044779707,0.00011532945,0.00014626214,0.00008636127,0.0000756999,0.00022998547,0.0024656623,0.000069423695,0.000007697852],"category_scores_gemma":[0.00011745505,0.00006743758,0.00013022637,0.00051933527,0.000059218713,0.0028936376,0.00031770696,0.00017151098,0.000036216483],"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":[0.000037511174,0.00012897479,0.02030507,0.00085150945,0.00006582798,1.16614105e-8,0.0096212,0.000027581418,0.37483266,0.456928,0.1311346,0.006067043],"study_design_scores_gemma":[0.00038610373,0.00010539726,0.01059049,0.00029744898,0.000017007007,0.000013265814,0.00023610546,0.012037875,0.95155066,0.0074059446,0.017153157,0.00020652472],"about_ca_topic_score_codex":0.000023965067,"about_ca_topic_score_gemma":2.385791e-7,"teacher_disagreement_score":0.57671803,"about_ca_system_score_codex":0.000041420193,"about_ca_system_score_gemma":0.00003503046,"threshold_uncertainty_score":0.45818552},"labels":[],"label_agreement":null},{"id":"W4240100194","doi":"10.1109/jproc.2019.2898289","title":"Proceedings of the IEEE publication information","year":2019,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Environmental science","score_opus":0.005798276749226643,"score_gpt":0.1910634913405749,"score_spread":0.18526521459134826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240100194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948535,0.0000061214414,0.00013071114,0.004995693,0.0010175683,0.00043688607,0.000001823872,0.000056941393,0.044819232],"genre_scores_gemma":[0.99612737,0.000002528411,0.001183959,0.00058526907,0.0000567864,0.000011571479,1.2967801e-7,0.000006036167,0.002026352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876493,0.0000015920849,0.0003675984,0.00015934648,0.00052081,0.00018574823],"domain_scores_gemma":[0.99798787,0.000014236151,0.00076041615,0.00016743699,0.0010406354,0.000029389128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044779707,0.00011532945,0.00014626214,0.00008636127,0.0000756999,0.00022998547,0.0024656623,0.000069423695,0.000007697852],"category_scores_gemma":[0.00011745505,0.00006743758,0.00013022637,0.00051933527,0.000059218713,0.0028936376,0.00031770696,0.00017151098,0.000036216483],"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":[0.000037511174,0.00012897479,0.02030507,0.00085150945,0.00006582798,1.16614105e-8,0.0096212,0.000027581418,0.37483266,0.456928,0.1311346,0.006067043],"study_design_scores_gemma":[0.00038610373,0.00010539726,0.01059049,0.00029744898,0.000017007007,0.000013265814,0.00023610546,0.012037875,0.95155066,0.0074059446,0.017153157,0.00020652472],"about_ca_topic_score_codex":0.000023965067,"about_ca_topic_score_gemma":2.385791e-7,"teacher_disagreement_score":0.57671803,"about_ca_system_score_codex":0.000041420193,"about_ca_system_score_gemma":0.00003503046,"threshold_uncertainty_score":0.45818552},"labels":[],"label_agreement":null},{"id":"W4240301649","doi":"10.1109/jproc.2018.2865070","title":"Proceedings of the IEEE publication information","year":2018,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; World Wide Web; Library science; Information retrieval","score_opus":0.008612834583492449,"score_gpt":0.20939410426479255,"score_spread":0.2007812696813001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240301649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93008834,0.000006066824,0.0005752304,0.008044057,0.0013576876,0.00039805193,0.0000024808498,0.00008734574,0.059440747],"genre_scores_gemma":[0.9958493,0.0000020398993,0.002172756,0.0007328438,0.00017278938,0.0000123307855,9.3650286e-8,0.0000058962746,0.0010519179],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99877924,0.000001685222,0.00037334327,0.0001561973,0.0004943501,0.00019518551],"domain_scores_gemma":[0.99729764,0.000011507053,0.00074768736,0.00015678,0.0017527248,0.00003365439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048184136,0.00011474715,0.00012882112,0.00008834672,0.00015188284,0.00024719106,0.0025364382,0.000068629546,0.000006040079],"category_scores_gemma":[0.00020390237,0.00006689223,0.000111526715,0.00060311443,0.00017218005,0.0026818863,0.00033607264,0.0001429337,0.000021948206],"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":[0.000040858886,0.00012747684,0.005608867,0.0004216001,0.00006200457,1.250662e-8,0.0143549265,0.000002979621,0.27949923,0.3866089,0.30341542,0.009857728],"study_design_scores_gemma":[0.00020604116,0.00010909759,0.004739597,0.00017363549,0.0000137437,0.000010941044,0.0001350433,0.0062442375,0.9630048,0.007834965,0.017393623,0.00013426143],"about_ca_topic_score_codex":0.000028532833,"about_ca_topic_score_gemma":6.8066464e-7,"teacher_disagreement_score":0.6835056,"about_ca_system_score_codex":0.000039281098,"about_ca_system_score_gemma":0.000036330755,"threshold_uncertainty_score":0.47133756},"labels":[],"label_agreement":null},{"id":"W4240336948","doi":"10.1109/jproc.2020.3046066","title":"Proceedings of the IEEE publication information","year":2021,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Library science; Information retrieval","score_opus":0.008309317969230002,"score_gpt":0.20194501736511952,"score_spread":0.1936356993958895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240336948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9288708,0.000024535648,0.0005427888,0.015959047,0.0013487692,0.00033015857,0.000003840675,0.00008378255,0.052836284],"genre_scores_gemma":[0.9947106,0.000006170719,0.002596089,0.0008437308,0.00007933947,0.00001298091,2.3975875e-7,0.0000059056806,0.0017449073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998764,0.0000022434017,0.0003786886,0.00016568198,0.0005106289,0.00017876193],"domain_scores_gemma":[0.997355,0.000014999373,0.0006380075,0.00015944698,0.0017997123,0.000032853448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037715392,0.00010941694,0.00014064803,0.00006293815,0.00011424615,0.00029250036,0.001872271,0.00006671024,0.000006311675],"category_scores_gemma":[0.00028102502,0.000067749184,0.00014137686,0.0007032192,0.0000704154,0.002385569,0.00038029967,0.00017277707,0.000009312735],"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":[0.000017982356,0.00015098786,0.004847398,0.00061126944,0.000067860645,6.650987e-8,0.008291568,0.000015486241,0.40475252,0.4118711,0.1616467,0.0077270386],"study_design_scores_gemma":[0.0001788457,0.000028709317,0.0035022004,0.00016830722,0.000013764749,0.000021327129,0.00019668472,0.0038064602,0.97338015,0.0061943373,0.012398591,0.00011062236],"about_ca_topic_score_codex":0.000015947067,"about_ca_topic_score_gemma":5.76301e-7,"teacher_disagreement_score":0.5686276,"about_ca_system_score_codex":0.0000408729,"about_ca_system_score_gemma":0.00006644234,"threshold_uncertainty_score":0.34791765},"labels":[],"label_agreement":null},{"id":"W4240412060","doi":"10.1109/jproc.2017.2755426","title":"Proceedings of the IEEE publication information","year":2017,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Information retrieval; Data science; World Wide Web","score_opus":0.01183119934916509,"score_gpt":0.22335196826372983,"score_spread":0.21152076891456473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240412060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91247624,0.0000065607187,0.0002592423,0.014371499,0.0013626766,0.0004100879,0.0000030489016,0.000062766725,0.07104786],"genre_scores_gemma":[0.99677193,0.0000036891506,0.0013985349,0.00036749354,0.00009336771,0.000013915505,7.906324e-8,0.0000055280593,0.0013454754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988296,0.0000012605084,0.00034399005,0.0001531962,0.00048720778,0.0001847278],"domain_scores_gemma":[0.9971661,0.000009890446,0.0013510612,0.0002898857,0.0011490698,0.000033981076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005082124,0.00011532736,0.0001408157,0.00006437119,0.00035624814,0.00068023393,0.004575436,0.000069513386,0.000002831207],"category_scores_gemma":[0.00038281266,0.00006755933,0.00013138803,0.00017604583,0.00014735483,0.0043653823,0.00054231205,0.00016867994,0.000010556167],"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":[0.000039766743,0.00014812146,0.019697845,0.0006851174,0.00008192405,3.3269334e-8,0.009800278,0.000008320151,0.21218945,0.5380558,0.20268682,0.016606562],"study_design_scores_gemma":[0.000353543,0.00006778177,0.030384665,0.00030270373,0.000021247459,0.000013137708,0.0001264093,0.0074950852,0.93423706,0.012509737,0.01429349,0.00019515597],"about_ca_topic_score_codex":0.0000531511,"about_ca_topic_score_gemma":7.628129e-7,"teacher_disagreement_score":0.72204757,"about_ca_system_score_codex":0.000034774777,"about_ca_system_score_gemma":0.000034338576,"threshold_uncertainty_score":0.8502375},"labels":[],"label_agreement":null},{"id":"W4240412194","doi":"10.1109/tcyb.2019.2896387","title":"IEEE Transactions on Cybernetics","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.012578493928432865,"score_gpt":0.23092227603004709,"score_spread":0.21834378210161423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240412194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030376984,0.000025662728,0.95219916,0.0009934969,0.0052869455,0.0004253036,0.000035167977,0.00040568504,0.010251614],"genre_scores_gemma":[0.96020687,0.00010527484,0.009816461,0.0015220105,0.00008383443,0.000034168257,0.00000112041,0.00006438131,0.028165862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970995,0.00009250162,0.0005192189,0.00083214155,0.0007765339,0.0006800679],"domain_scores_gemma":[0.9979446,0.00023215986,0.00014683642,0.0012577071,0.00015004653,0.00026867245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021556763,0.00046725347,0.00038202046,0.00032411303,0.00024413131,0.00031256472,0.0013005782,0.00028681045,0.00057988573],"category_scores_gemma":[0.0000023372986,0.00046420397,0.00038594057,0.0004907978,0.00009695008,0.00037858437,0.0000020569712,0.00093488395,0.0032785244],"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":[0.00028356325,0.00411828,0.000022966538,0.0001630596,0.00062317227,0.0001192809,0.006630173,0.59444755,0.014153254,0.021743214,0.0068484726,0.35084698],"study_design_scores_gemma":[0.0031589852,0.003414804,0.00016442432,0.00042509948,0.00018959082,0.00016530362,0.00017502575,0.4279969,0.5113459,0.0029376713,0.047797043,0.0022292475],"about_ca_topic_score_codex":0.000116831034,"about_ca_topic_score_gemma":0.00006991054,"teacher_disagreement_score":0.9423827,"about_ca_system_score_codex":0.00017743089,"about_ca_system_score_gemma":0.0000967863,"threshold_uncertainty_score":0.99978095},"labels":[],"label_agreement":null},{"id":"W4240750148","doi":"10.1109/nanomed.2013.6766300","title":"IEEE-NANOMED 2013 conference program","year":2013,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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 Waterloo; Polytechnique Montréal","funders":"","keywords":"Computer science","score_opus":0.016065540990629287,"score_gpt":0.2391922040672814,"score_spread":0.2231266630766521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240750148","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12428328,0.00004512366,0.5728525,0.02453859,0.0019517048,0.0010450416,4.6114326e-7,0.0016336832,0.27364963],"genre_scores_gemma":[0.87699646,0.000004820063,0.09647605,0.0010971025,0.000045354773,0.00006812869,3.9017698e-7,0.0000039414053,0.025307752],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992916,0.000012552148,0.0001146929,0.00021138665,0.00013621572,0.00023357032],"domain_scores_gemma":[0.99945235,0.000013424229,0.000035564055,0.0003043516,0.000110629415,0.00008367886],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006580082,0.00008174212,0.00008171748,0.00003245446,0.000037600017,0.000490035,0.00084091653,0.000033744942,0.00079247745],"category_scores_gemma":[0.000005123482,0.00005929187,0.00003788085,0.00008308132,0.000027895394,0.00065355777,0.00014157222,0.00007104416,0.002781979],"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":[7.663554e-7,0.0001780104,0.00017076622,0.0000108274535,0.000016389753,0.000005772775,0.00049731875,0.000005397222,0.002827774,0.24082293,0.3155477,0.43991634],"study_design_scores_gemma":[0.00056866824,0.0006089444,0.0053667645,0.00005055375,0.0000041434555,0.00003402642,0.00006454003,0.6312877,0.02476264,0.033439048,0.30303755,0.00077544106],"about_ca_topic_score_codex":0.00057726214,"about_ca_topic_score_gemma":0.0000127000285,"teacher_disagreement_score":0.7527132,"about_ca_system_score_codex":0.000009134441,"about_ca_system_score_gemma":0.000020887117,"threshold_uncertainty_score":0.9979945},"labels":[],"label_agreement":null},{"id":"W4241316525","doi":"10.1109/emr.2018.2883781","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2018,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","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","funders":"","keywords":"Engineering management; Business; Engineering; Management; Economics","score_opus":0.01265362023187347,"score_gpt":0.2456597278248083,"score_spread":0.23300610759293483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241316525","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015604259,0.014529189,0.9687905,0.00313838,0.0022021907,0.0012073211,0.0000021033002,0.0011302799,0.0074396557],"genre_scores_gemma":[0.35219565,0.06376206,0.57129776,0.0042121876,0.00077922764,0.00061005255,0.0000054190414,0.00014141029,0.006996249],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99842674,0.000010906198,0.00035288636,0.0005182655,0.00025261389,0.00043861402],"domain_scores_gemma":[0.99908817,0.000022059941,0.00009251734,0.0006625759,0.00004799324,0.000086701424],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004037792,0.00031347063,0.0003466826,0.00020679332,0.00008675505,0.0001448371,0.0009739118,0.0000658994,0.000011489872],"category_scores_gemma":[0.000007370528,0.0003005937,0.0001219761,0.0007021322,0.00004862901,0.00027915696,0.00039320128,0.00021252397,0.00007533906],"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":[0.000003954274,0.00017424076,0.000048127884,0.022830276,0.0014761203,0.00032501624,0.00050298765,0.00091591827,0.0008983973,0.66890717,0.11786382,0.18605399],"study_design_scores_gemma":[0.00040430162,0.00019907788,0.00020049041,0.006466022,0.00013653097,0.0000534959,0.00002660931,0.074658066,0.0013407515,0.00032721565,0.915409,0.00077841233],"about_ca_topic_score_codex":0.000001921907,"about_ca_topic_score_gemma":3.524025e-7,"teacher_disagreement_score":0.7975452,"about_ca_system_score_codex":0.000065107284,"about_ca_system_score_gemma":0.0000047339777,"threshold_uncertainty_score":0.9999446},"labels":[],"label_agreement":null},{"id":"W4241415638","doi":"10.1108/ijpcc-02-2021-177","title":"Guest editorial","year":2021,"lang":"en","type":"editorial","venue":"International Journal of Pervasive Computing and Communications","topic":"Internet of Things and AI","field":"Computer Science","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":"Brandon University","funders":"National University of Singapore","keywords":"Computer science; Computer graphics (images); Human–computer interaction","score_opus":0.01309162141019935,"score_gpt":0.31720193098150706,"score_spread":0.3041103095713077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241415638","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":[0.000050560782,0.0027799336,0.012533966,0.003970443,0.9797506,0.00003873595,0.000022783339,0.00002895294,0.000824078],"genre_scores_gemma":[0.002778331,0.0025807621,0.019647367,0.00015186395,0.974531,0.0000011889822,0.000063353815,0.000017744234,0.00022841898],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972515,0.00021315178,0.00078554364,0.00025769792,0.0013133789,0.000178733],"domain_scores_gemma":[0.99056983,0.001631565,0.001181462,0.00090554374,0.005594752,0.00011684794],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0008288574,0.00022557871,0.00040776597,0.00025262265,0.00020004704,0.0009530511,0.006768867,0.00033064137,0.0000047681297],"category_scores_gemma":[0.0017390493,0.00021668756,0.00026906832,0.00012245133,0.00012430658,0.0004194669,0.0030882217,0.0015706223,0.00000752698],"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":[0.0000064746246,0.000096344695,0.000010406359,0.000009608866,0.00026084672,0.00003987304,0.0007329246,0.000011044748,0.000031337702,0.0023056646,0.9923253,0.0041701803],"study_design_scores_gemma":[0.00044051936,0.0000864062,0.000010945498,0.000645322,0.000035329052,0.00009855922,0.00009115819,0.001244528,0.000033355976,0.0006900092,0.99642485,0.00019899238],"about_ca_topic_score_codex":0.00006353876,"about_ca_topic_score_gemma":0.000015023659,"teacher_disagreement_score":0.0071134004,"about_ca_system_score_codex":0.00014693962,"about_ca_system_score_gemma":0.00068384863,"threshold_uncertainty_score":0.998605},"labels":[],"label_agreement":null},{"id":"W4241928661","doi":"10.1109/tcyb.2020.3016150","title":"IEEE Transactions on Cybernetics","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Artificial intelligence","score_opus":0.02311311682004189,"score_gpt":0.23770461277669733,"score_spread":0.21459149595665544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241928661","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":[0.004952616,0.000029667002,0.98152924,0.0058419295,0.0023390322,0.0003043526,0.000048167192,0.0005379249,0.0044171032],"genre_scores_gemma":[0.9749843,0.00012666335,0.014717428,0.00580875,0.00016143452,0.000034731165,0.0000011293839,0.000064799635,0.0041007916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99718654,0.00009559009,0.00053303194,0.0008338583,0.00073567283,0.0006152991],"domain_scores_gemma":[0.99829155,0.00018621453,0.00013665936,0.0007838604,0.00013684205,0.00046488323],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013798637,0.00046206077,0.00037116132,0.00018393432,0.00031657176,0.0003185836,0.0013269096,0.00024874858,0.00030308007],"category_scores_gemma":[0.0000054170737,0.0004685082,0.0003782827,0.0005955976,0.000121681645,0.0003286203,0.000002245538,0.0009905366,0.0012511397],"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":[0.0003345264,0.0027652218,0.000005231996,0.00015114895,0.0005791382,0.00025213286,0.014348734,0.5525084,0.011371196,0.012614224,0.01567767,0.38939238],"study_design_scores_gemma":[0.0018978321,0.002718527,0.000036743088,0.00016935029,0.00016994278,0.0000734555,0.00014559967,0.5261974,0.4227264,0.0011871225,0.043214623,0.0014630312],"about_ca_topic_score_codex":0.00007127853,"about_ca_topic_score_gemma":0.00004301177,"teacher_disagreement_score":0.9700317,"about_ca_system_score_codex":0.00011656213,"about_ca_system_score_gemma":0.00009479675,"threshold_uncertainty_score":0.99977666},"labels":[],"label_agreement":null},{"id":"W4241962225","doi":"10.1109/jproc.2019.2908747","title":"Proceedings of the IEEE publication information","year":2019,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Information retrieval; World Wide Web","score_opus":0.005798276749226643,"score_gpt":0.1910634913405749,"score_spread":0.18526521459134826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241962225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948535,0.0000061214414,0.00013071114,0.004995693,0.0010175683,0.00043688607,0.000001823872,0.000056941393,0.044819232],"genre_scores_gemma":[0.99612737,0.000002528411,0.001183959,0.00058526907,0.0000567864,0.000011571479,1.2967801e-7,0.000006036167,0.002026352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876493,0.0000015920849,0.0003675984,0.00015934648,0.00052081,0.00018574823],"domain_scores_gemma":[0.99798787,0.000014236151,0.00076041615,0.00016743699,0.0010406354,0.000029389128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044779707,0.00011532945,0.00014626214,0.00008636127,0.0000756999,0.00022998547,0.0024656623,0.000069423695,0.000007697852],"category_scores_gemma":[0.00011745505,0.00006743758,0.00013022637,0.00051933527,0.000059218713,0.0028936376,0.00031770696,0.00017151098,0.000036216483],"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":[0.000037511174,0.00012897479,0.02030507,0.00085150945,0.00006582798,1.16614105e-8,0.0096212,0.000027581418,0.37483266,0.456928,0.1311346,0.006067043],"study_design_scores_gemma":[0.00038610373,0.00010539726,0.01059049,0.00029744898,0.000017007007,0.000013265814,0.00023610546,0.012037875,0.95155066,0.0074059446,0.017153157,0.00020652472],"about_ca_topic_score_codex":0.000023965067,"about_ca_topic_score_gemma":2.385791e-7,"teacher_disagreement_score":0.57671803,"about_ca_system_score_codex":0.000041420193,"about_ca_system_score_gemma":0.00003503046,"threshold_uncertainty_score":0.45818552},"labels":[],"label_agreement":null},{"id":"W4242172404","doi":"10.1109/mie.2021.3054440","title":"2021 IEEE Industrial Electronics Society Technical Committee Chairs [Society News]","year":2021,"lang":"en","type":"article","venue":"IEEE Industrial Electronics Magazine","topic":"Internet of Things and AI","field":"Computer Science","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":"Toronto Metropolitan University","funders":"","keywords":"Electronics; Engineering; Telecommunications; Engineering management; Electrical engineering","score_opus":0.028614371523978003,"score_gpt":0.25105523881151215,"score_spread":0.22244086728753415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242172404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24270292,0.017250242,0.43189782,0.19599912,0.056658074,0.007005203,0.00033290198,0.0055244556,0.042629268],"genre_scores_gemma":[0.8159949,0.010353989,0.049973488,0.020899227,0.04596904,0.00047864154,0.0005310245,0.0008095063,0.05499018],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9928731,0.0003245978,0.0012543065,0.0016833826,0.0013724201,0.0024922146],"domain_scores_gemma":[0.99628025,0.0003553647,0.0005825611,0.001792955,0.0005237123,0.00046515532],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001511106,0.00085542275,0.0010628968,0.00010990135,0.0005339784,0.0008922994,0.0028062768,0.0017355148,0.00022920093],"category_scores_gemma":[0.00028832126,0.00089165504,0.0013445973,0.0020932972,0.00022700478,0.00090846996,0.00070089067,0.005394585,0.00027485416],"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":[0.00011181749,0.00062096084,0.00008785851,0.00001614577,0.0004822617,0.00010243191,0.00026601524,0.00053947855,0.05315449,0.02106482,0.8646825,0.058871206],"study_design_scores_gemma":[0.006742153,0.0012769718,0.0000138105315,0.00014159126,0.00015838532,0.00033445374,0.000063844964,0.018561384,0.09547024,0.0042729205,0.8713926,0.001571625],"about_ca_topic_score_codex":0.00006715699,"about_ca_topic_score_gemma":0.0002591579,"teacher_disagreement_score":0.573292,"about_ca_system_score_codex":0.0014834513,"about_ca_system_score_gemma":0.0047988924,"threshold_uncertainty_score":0.9995604},"labels":[],"label_agreement":null},{"id":"W4242200248","doi":"10.1109/emr.2019.2938300","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2019,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","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","funders":"","keywords":"Engineering management; Engineering; Management; Economics","score_opus":0.008862074356026525,"score_gpt":0.22700029640100766,"score_spread":0.21813822204498112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242200248","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":[0.009210815,0.041402273,0.917165,0.0055528423,0.0047163344,0.0037594975,0.0000043854557,0.0021135928,0.016075252],"genre_scores_gemma":[0.48761806,0.0936672,0.3976485,0.004043123,0.00031224173,0.00069119246,0.0000088708375,0.0001731615,0.01583764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984298,0.0000103035445,0.00034760055,0.00052874204,0.00026592138,0.00041768237],"domain_scores_gemma":[0.99906754,0.000027071554,0.00009408214,0.0007065627,0.000028686329,0.00007605066],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037591223,0.00031502498,0.0003924948,0.00020173368,0.00004378004,0.00013487648,0.00094630895,0.00006663487,0.0000149086145],"category_scores_gemma":[0.0000042765637,0.00030298918,0.00014194801,0.00060592877,0.000017110748,0.0003010988,0.00037204413,0.00025315804,0.00012320453],"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":[0.0000036121796,0.00017626389,0.00016896524,0.045535613,0.0015622402,0.00030274296,0.00033719497,0.008019255,0.0012051249,0.7768411,0.05107015,0.11477776],"study_design_scores_gemma":[0.0006256001,0.00016146876,0.00036622354,0.009207028,0.00014040085,0.000054100787,0.000038452377,0.11749029,0.00075825583,0.00026120341,0.86990416,0.0009927889],"about_ca_topic_score_codex":0.000001617652,"about_ca_topic_score_gemma":1.2674067e-7,"teacher_disagreement_score":0.818834,"about_ca_system_score_codex":0.00006881952,"about_ca_system_score_gemma":0.000004551004,"threshold_uncertainty_score":0.99994224},"labels":[],"label_agreement":null},{"id":"W4242257253","doi":"10.1109/iintec.2018.8695300","title":"Table of contents","year":2018,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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 Regina","funders":"","keywords":"Table (database); Computer science; Database","score_opus":0.0174301209641438,"score_gpt":0.2390744644103709,"score_spread":0.22164434344622708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242257253","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046767857,0.0000118476155,0.56560093,0.00080077996,0.000558739,0.000030365094,2.6576532e-7,0.000056276873,0.38617295],"genre_scores_gemma":[0.9661138,3.0374275e-7,0.020196244,0.0005148662,0.00002744948,2.3744971e-7,3.603848e-8,7.9539456e-7,0.013146246],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997635,0.0000027026256,0.000051968425,0.00006122133,0.000059415812,0.00006118998],"domain_scores_gemma":[0.9997688,0.0000044059952,0.00001973624,0.00012832793,0.000064726715,0.000014024321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043067812,0.000019820385,0.000035406363,0.000012509055,0.000012220212,0.000018628669,0.0003295996,0.00000856708,0.00011391436],"category_scores_gemma":[0.000007009649,0.000014494765,0.00001198706,0.000045299796,0.000020086705,0.00013161967,0.00010298707,0.000011854052,0.00010510592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025697834,0.00004005079,0.000728939,0.0000040596924,0.000009598029,0.0000013703774,0.00040543772,4.3867996e-7,0.015351719,0.9106671,0.06433232,0.008456354],"study_design_scores_gemma":[0.00036060764,0.00040843597,0.0020737245,0.00002990756,0.0000017192567,0.0000072610364,0.000026664176,0.052961525,0.7695047,0.010893551,0.1635934,0.00013850677],"about_ca_topic_score_codex":0.000103831764,"about_ca_topic_score_gemma":0.0000045698866,"teacher_disagreement_score":0.919346,"about_ca_system_score_codex":0.0000015633403,"about_ca_system_score_gemma":0.000004240545,"threshold_uncertainty_score":0.13509591},"labels":[],"label_agreement":null},{"id":"W4242579139","doi":"10.1109/tfuzz.2019.2921500","title":"IEEE Computational Intelligence Society","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Computational intelligence; Computational complexity theory; Artificial intelligence; Algorithm","score_opus":0.015887483165955407,"score_gpt":0.23826303261510268,"score_spread":0.22237554944914728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242579139","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071027703,0.000036323774,0.9821345,0.00031626024,0.0062171943,0.00027276453,0.000009848742,0.0002273782,0.0036829342],"genre_scores_gemma":[0.98878646,0.0000075388048,0.005987816,0.0003852599,0.000081984894,0.000023572818,8.6639653e-7,0.000013633843,0.004712848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851996,0.00005235334,0.00030656284,0.00041394745,0.00044000678,0.00026715442],"domain_scores_gemma":[0.99915123,0.00012429195,0.00009546012,0.0004200054,0.00011962567,0.00008935956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025409952,0.00017011125,0.00019604336,0.000082887724,0.00014669832,0.0002655442,0.00071039627,0.000093496106,0.000034808018],"category_scores_gemma":[7.829439e-7,0.00015764567,0.0002230573,0.00025802874,0.000032269778,0.00044134207,0.000002779073,0.00026330102,0.001641629],"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":[0.000009003989,0.00015368327,0.000012845683,0.00008044411,0.00009063139,0.000004427636,0.0013658503,0.96996915,0.00058361667,0.016844317,0.0030027549,0.007883283],"study_design_scores_gemma":[0.0002236603,0.00019634343,0.000021847934,0.00013962192,0.000008571247,0.000056982433,0.0001913148,0.98932,0.0047074603,0.0011047114,0.0037087144,0.00032079124],"about_ca_topic_score_codex":0.000114961724,"about_ca_topic_score_gemma":0.000002992046,"teacher_disagreement_score":0.98168373,"about_ca_system_score_codex":0.00009827235,"about_ca_system_score_gemma":0.000060860046,"threshold_uncertainty_score":0.99913573},"labels":[],"label_agreement":null},{"id":"W4243587831","doi":"10.1109/tcyb.2020.2990578","title":"IEEE Transactions on Cybernetics","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.02311311682004189,"score_gpt":0.23770461277669733,"score_spread":0.21459149595665544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243587831","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":[0.004952616,0.000029667002,0.98152924,0.0058419295,0.0023390322,0.0003043526,0.000048167192,0.0005379249,0.0044171032],"genre_scores_gemma":[0.9749843,0.00012666335,0.014717428,0.00580875,0.00016143452,0.000034731165,0.0000011293839,0.000064799635,0.0041007916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99718654,0.00009559009,0.00053303194,0.0008338583,0.00073567283,0.0006152991],"domain_scores_gemma":[0.99829155,0.00018621453,0.00013665936,0.0007838604,0.00013684205,0.00046488323],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013798637,0.00046206077,0.00037116132,0.00018393432,0.00031657176,0.0003185836,0.0013269096,0.00024874858,0.00030308007],"category_scores_gemma":[0.0000054170737,0.0004685082,0.0003782827,0.0005955976,0.000121681645,0.0003286203,0.000002245538,0.0009905366,0.0012511397],"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":[0.0003345264,0.0027652218,0.000005231996,0.00015114895,0.0005791382,0.00025213286,0.014348734,0.5525084,0.011371196,0.012614224,0.01567767,0.38939238],"study_design_scores_gemma":[0.0018978321,0.002718527,0.000036743088,0.00016935029,0.00016994278,0.0000734555,0.00014559967,0.5261974,0.4227264,0.0011871225,0.043214623,0.0014630312],"about_ca_topic_score_codex":0.00007127853,"about_ca_topic_score_gemma":0.00004301177,"teacher_disagreement_score":0.9700317,"about_ca_system_score_codex":0.00011656213,"about_ca_system_score_gemma":0.00009479675,"threshold_uncertainty_score":0.99977666},"labels":[],"label_agreement":null},{"id":"W4243701031","doi":"10.1109/tfuzz.2019.2935648","title":"IEEE Computational Intelligence Society","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Computational intelligence; Artificial intelligence","score_opus":0.015887483165955407,"score_gpt":0.23826303261510268,"score_spread":0.22237554944914728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243701031","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071027703,0.000036323774,0.9821345,0.00031626024,0.0062171943,0.00027276453,0.000009848742,0.0002273782,0.0036829342],"genre_scores_gemma":[0.98878646,0.0000075388048,0.005987816,0.0003852599,0.000081984894,0.000023572818,8.6639653e-7,0.000013633843,0.004712848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851996,0.00005235334,0.00030656284,0.00041394745,0.00044000678,0.00026715442],"domain_scores_gemma":[0.99915123,0.00012429195,0.00009546012,0.0004200054,0.00011962567,0.00008935956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025409952,0.00017011125,0.00019604336,0.000082887724,0.00014669832,0.0002655442,0.00071039627,0.000093496106,0.000034808018],"category_scores_gemma":[7.829439e-7,0.00015764567,0.0002230573,0.00025802874,0.000032269778,0.00044134207,0.000002779073,0.00026330102,0.001641629],"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":[0.000009003989,0.00015368327,0.000012845683,0.00008044411,0.00009063139,0.000004427636,0.0013658503,0.96996915,0.00058361667,0.016844317,0.0030027549,0.007883283],"study_design_scores_gemma":[0.0002236603,0.00019634343,0.000021847934,0.00013962192,0.000008571247,0.000056982433,0.0001913148,0.98932,0.0047074603,0.0011047114,0.0037087144,0.00032079124],"about_ca_topic_score_codex":0.000114961724,"about_ca_topic_score_gemma":0.000002992046,"teacher_disagreement_score":0.98168373,"about_ca_system_score_codex":0.00009827235,"about_ca_system_score_gemma":0.000060860046,"threshold_uncertainty_score":0.99913573},"labels":[],"label_agreement":null},{"id":"W4244294724","doi":"10.1109/vitecon.2019.8899465","title":"ViTECoN 2019 Title Page","year":2019,"lang":"en","type":"article","venue":"2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN)","topic":"Internet of Things and AI","field":"Computer Science","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":"Telecommunications; Broadband; Service (business); Business; Edge device; Enhanced Data Rates for GSM Evolution; Product (mathematics); Service provider; Core network; Engineering; Engineering management; Computer science; Marketing; Operating system; Cloud computing","score_opus":0.028698129831656316,"score_gpt":0.32489943029875906,"score_spread":0.29620130046710275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244294724","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":[0.016883954,0.0012322159,0.0055753537,0.020660292,0.0047944994,0.0001981303,0.000015893425,0.00027059717,0.95036906],"genre_scores_gemma":[0.97280353,0.0013329361,0.0024876327,0.00079451094,0.00009578026,0.0000059535028,0.00005377003,0.000013962632,0.022411928],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988534,0.00007979305,0.00029041976,0.00033097522,0.00025740013,0.00018800705],"domain_scores_gemma":[0.9990296,0.00006743756,0.00016656672,0.0006071636,0.00008019373,0.000049090708],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000439439,0.00015337807,0.0001704902,0.00034166363,0.000067841,0.00026075655,0.0011439489,0.00008856131,0.0017572842],"category_scores_gemma":[0.000009365779,0.00014622037,0.000063242485,0.00018019885,0.000034928646,0.00033376727,0.00045632117,0.0003285954,0.00051385915],"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":[0.000018501427,0.00006191373,0.00040777685,0.000004916737,0.000021694244,0.0000020429297,0.00033510305,0.00006164359,0.00017853873,0.16806522,0.03125473,0.7995879],"study_design_scores_gemma":[0.00079869747,0.00014709122,0.0043235137,0.0005335752,0.0000046794908,0.0000109740495,0.000044818597,0.46719524,0.00016554048,0.0076297526,0.51869506,0.0004510792],"about_ca_topic_score_codex":0.000077186196,"about_ca_topic_score_gemma":0.00001887073,"teacher_disagreement_score":0.95591956,"about_ca_system_score_codex":0.000058631405,"about_ca_system_score_gemma":0.000026003294,"threshold_uncertainty_score":0.9991552},"labels":[],"label_agreement":null},{"id":"W4244345227","doi":"10.5539/nct.v4n1p52","title":"Reviewer Acknowledgements for Network and Communication Technologies Vol. 4, No. 1","year":2019,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telecommunications; Library science; Computer science","score_opus":0.013620660627971385,"score_gpt":0.25012720441823383,"score_spread":0.23650654379026245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244345227","genre_codex":"review","genre_gemma":"methods","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":[0.030518027,0.68344855,0.18548901,0.035261713,0.013804695,0.008762236,0.000016102107,0.019670103,0.023029532],"genre_scores_gemma":[0.39791524,0.13798863,0.45766106,0.000846414,0.00030275527,0.0007475602,0.00004719245,0.000048257207,0.004442874],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986945,0.000078902005,0.00035576714,0.00037884832,0.0001230701,0.00036892603],"domain_scores_gemma":[0.99484867,0.0002989587,0.00028423464,0.0024247367,0.0021236467,0.000019739296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007628703,0.00021501898,0.00032139028,0.00007952475,0.00046608277,0.00025807755,0.0026631318,0.00026921308,0.000009310918],"category_scores_gemma":[0.001893691,0.00018809109,0.000044228265,0.00035274366,0.00028938052,0.00048112773,0.0034120213,0.0003764278,0.00008209776],"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":[0.000012366355,0.000043236785,0.002958266,0.000109585686,0.00005397584,9.142866e-8,0.00012311048,0.0000664441,0.000020283314,0.10581702,0.45904467,0.43175095],"study_design_scores_gemma":[0.00039928555,0.0002293588,0.00049934245,0.0005594029,0.00001794395,0.0000011583219,0.00027787947,0.020172972,0.00017827206,0.15117036,0.82616025,0.0003337492],"about_ca_topic_score_codex":0.000005385987,"about_ca_topic_score_gemma":0.000013628907,"teacher_disagreement_score":0.5454599,"about_ca_system_score_codex":0.000031883854,"about_ca_system_score_gemma":0.000014763448,"threshold_uncertainty_score":0.7670132},"labels":[],"label_agreement":null},{"id":"W4244433243","doi":"10.1109/tcyb.2019.2912664","title":"IEEE Transactions on Cybernetics","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.012578493928432865,"score_gpt":0.23092227603004709,"score_spread":0.21834378210161423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244433243","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030376984,0.000025662728,0.95219916,0.0009934969,0.0052869455,0.0004253036,0.000035167977,0.00040568504,0.010251614],"genre_scores_gemma":[0.96020687,0.00010527484,0.009816461,0.0015220105,0.00008383443,0.000034168257,0.00000112041,0.00006438131,0.028165862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970995,0.00009250162,0.0005192189,0.00083214155,0.0007765339,0.0006800679],"domain_scores_gemma":[0.9979446,0.00023215986,0.00014683642,0.0012577071,0.00015004653,0.00026867245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021556763,0.00046725347,0.00038202046,0.00032411303,0.00024413131,0.00031256472,0.0013005782,0.00028681045,0.00057988573],"category_scores_gemma":[0.0000023372986,0.00046420397,0.00038594057,0.0004907978,0.00009695008,0.00037858437,0.0000020569712,0.00093488395,0.0032785244],"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":[0.00028356325,0.00411828,0.000022966538,0.0001630596,0.00062317227,0.0001192809,0.006630173,0.59444755,0.014153254,0.021743214,0.0068484726,0.35084698],"study_design_scores_gemma":[0.0031589852,0.003414804,0.00016442432,0.00042509948,0.00018959082,0.00016530362,0.00017502575,0.4279969,0.5113459,0.0029376713,0.047797043,0.0022292475],"about_ca_topic_score_codex":0.000116831034,"about_ca_topic_score_gemma":0.00006991054,"teacher_disagreement_score":0.9423827,"about_ca_system_score_codex":0.00017743089,"about_ca_system_score_gemma":0.0000967863,"threshold_uncertainty_score":0.99978095},"labels":[],"label_agreement":null},{"id":"W4244552820","doi":"10.1109/tcyb.2021.3056864","title":"IEEE Transactions on Cybernetics","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Psychology; Artificial intelligence","score_opus":0.01703339875355985,"score_gpt":0.24154321205632864,"score_spread":0.22450981330276878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244552820","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":[0.007265501,0.00006426663,0.9783168,0.0019753466,0.0043327846,0.00019571012,0.00004647084,0.00037021903,0.007432941],"genre_scores_gemma":[0.95102036,0.00026065117,0.021792889,0.0022090718,0.000118972115,0.000037756916,0.000002082418,0.000063052204,0.024495147],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99705815,0.00013077704,0.00053428207,0.0008624284,0.0007586605,0.0006556861],"domain_scores_gemma":[0.9978597,0.00024394368,0.00012387359,0.0012046306,0.00026606044,0.00030180355],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018155602,0.00044304217,0.00036668094,0.00023345563,0.00037240455,0.00039681955,0.000984495,0.0002776134,0.00045439723],"category_scores_gemma":[0.0000057243024,0.000465622,0.0004175399,0.00065328303,0.00011696493,0.0003133182,0.0000024519795,0.0009368966,0.0008385783],"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":[0.00016407006,0.0059248945,0.0000065135378,0.00013963637,0.00077645667,0.00083134277,0.006897456,0.3981614,0.019080598,0.024082499,0.010763474,0.53317165],"study_design_scores_gemma":[0.0014602841,0.00091126724,0.000054178177,0.00023574808,0.00015390193,0.0002724761,0.00014075478,0.13610707,0.8223825,0.0024907175,0.034603335,0.0011877792],"about_ca_topic_score_codex":0.00007710712,"about_ca_topic_score_gemma":0.0001703953,"teacher_disagreement_score":0.9565239,"about_ca_system_score_codex":0.00017376507,"about_ca_system_score_gemma":0.00018611694,"threshold_uncertainty_score":0.9999394},"labels":[],"label_agreement":null},{"id":"W4245163795","doi":"10.1109/tcyb.2013.2271730","title":"IEEE Transactions on Cybernetics publication information","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; World Wide Web; Data science; Information retrieval; Artificial intelligence","score_opus":0.011592066447840187,"score_gpt":0.21950216663297448,"score_spread":0.20791010018513428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245163795","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":[0.00559613,0.000008161567,0.97925705,0.003624341,0.0021230567,0.0005519635,0.00002807592,0.00044267584,0.008368523],"genre_scores_gemma":[0.97592986,0.00007402936,0.01465682,0.0028477598,0.00006611084,0.00017568159,0.0000066046987,0.00003201838,0.0062111192],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99761087,0.00007537087,0.00065103645,0.000436534,0.0007022986,0.0005239125],"domain_scores_gemma":[0.9979543,0.00014432438,0.00022558517,0.0009254291,0.0004900044,0.00026034086],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020007993,0.00036388283,0.00024408266,0.0004581766,0.0003357838,0.00089467835,0.0010208589,0.0002588449,0.0005405614],"category_scores_gemma":[0.000008163786,0.00035974546,0.00022777104,0.00058827276,0.00009112176,0.00222738,0.0000018326647,0.0006654987,0.00405628],"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":[0.000047494643,0.0013845132,0.0000041329454,0.00006903549,0.00019825432,0.000004351285,0.005200183,0.09936698,0.0018886949,0.014358278,0.024212848,0.8532652],"study_design_scores_gemma":[0.0018935526,0.0014454019,0.00037457538,0.00017524145,0.00010952318,0.00007853709,0.00020590091,0.73454636,0.19657356,0.003803498,0.05927174,0.0015221317],"about_ca_topic_score_codex":0.00031414223,"about_ca_topic_score_gemma":0.000040818784,"teacher_disagreement_score":0.97033376,"about_ca_system_score_codex":0.00019514668,"about_ca_system_score_gemma":0.0000864121,"threshold_uncertainty_score":0.99988544},"labels":[],"label_agreement":null},{"id":"W4245334931","doi":"10.1007/978-981-15-0108-1","title":"Advanced Informatics for Computing Research","year":2019,"lang":"en","type":"book","venue":"Communications in computer and information science","topic":"Internet of Things and AI","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Informatics; Computer science; Data science; Information retrieval; World Wide Web; Library science; Political science","score_opus":0.07401254102139372,"score_gpt":0.38761042091115405,"score_spread":0.31359787988976034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245334931","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000071978044,0.00018364676,0.76338935,0.0008679162,0.0006818483,0.000960678,0.000010599422,0.000089683585,0.2337443],"genre_scores_gemma":[0.0125843575,0.000824579,0.9716646,0.0022377796,0.000100463396,0.00006392479,0.00011031226,0.000016304692,0.012397678],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99759865,0.00005129749,0.0009213556,0.00024066356,0.0007194821,0.00046857592],"domain_scores_gemma":[0.99504524,0.0008364031,0.0004235693,0.0023762223,0.0012228665,0.0000956767],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.004222551,0.00020121431,0.00029272976,0.0015048431,0.0007168377,0.001465949,0.006801801,0.00014651188,0.0000013532276],"category_scores_gemma":[0.00015665493,0.0001991322,0.00005961723,0.0008474838,0.0007141989,0.0100628305,0.005471194,0.00073977414,0.00009163745],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002568383,0.000015418485,0.000007433906,0.00014374127,0.0000041871945,6.853146e-8,0.0066836737,0.00081922236,0.0000015676968,0.65768176,0.0068903863,0.32774994],"study_design_scores_gemma":[0.0002525403,0.00007602538,0.000054315584,0.00027795945,0.000001091307,0.00000656686,0.000053875916,0.6227822,0.0000071589607,0.005535865,0.37077832,0.00017411837],"about_ca_topic_score_codex":0.000004787861,"about_ca_topic_score_gemma":0.0000022707995,"teacher_disagreement_score":0.6521459,"about_ca_system_score_codex":0.0003565936,"about_ca_system_score_gemma":0.0009942574,"threshold_uncertainty_score":0.9995706},"labels":[],"label_agreement":null},{"id":"W4245344229","doi":"10.36227/techrxiv.12046842","title":"Controlling a Drone using Virtual Assistant Amazon Alexa","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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":"Lakehead University","funders":"Lakehead University","keywords":"Drone; Amazon rainforest; Arduino; Computer science; Transmitter; Telecommunications; Embedded system","score_opus":0.04252894043911571,"score_gpt":0.27136035562600247,"score_spread":0.22883141518688677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245344229","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":[0.015918622,0.000129411,0.9723054,0.003123226,0.0018379898,0.00021799431,0.000006061088,0.00037346312,0.0060878024],"genre_scores_gemma":[0.86407614,0.000009751113,0.1322297,0.0019853634,0.00044412757,0.0000073856627,0.0000048271845,0.000023572138,0.0012191401],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978178,0.000061642844,0.0004428032,0.00085648586,0.0004564237,0.00036480863],"domain_scores_gemma":[0.9987391,0.000058132257,0.00028420836,0.0006561006,0.00010254035,0.00015987258],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030283802,0.00032609844,0.00050547335,0.00009643007,0.0000951908,0.00090624875,0.0018152745,0.00021725186,0.00006426828],"category_scores_gemma":[0.00005330076,0.00028984295,0.00026493485,0.000105128536,0.000034964974,0.00022672724,0.0031684889,0.00071967614,0.00007160348],"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":[0.00013726045,0.00031146233,0.0001432218,0.00033289465,0.00080293685,0.0008057553,0.004779106,0.03913752,0.039360635,0.87404937,0.009761216,0.030378643],"study_design_scores_gemma":[0.00033934787,0.000086613676,0.00003188172,0.00021396723,0.000023899605,0.000011992648,0.000027199363,0.98698485,0.0021462378,0.0061105555,0.003603497,0.00041992954],"about_ca_topic_score_codex":0.00039476136,"about_ca_topic_score_gemma":0.000011471777,"teacher_disagreement_score":0.94784737,"about_ca_system_score_codex":0.00013614925,"about_ca_system_score_gemma":0.00019300723,"threshold_uncertainty_score":0.99995536},"labels":[],"label_agreement":null},{"id":"W4245387845","doi":"10.1109/tetci.2017.2745401","title":"IEEE Transactions on Emerging Topics in Computational Intelligence","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Internet of Things and AI","field":"Computer Science","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":"Computer science; Data science","score_opus":0.04764917624907285,"score_gpt":0.3306947431542368,"score_spread":0.28304556690516397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245387845","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":[0.0067608906,0.000031594205,0.9808556,0.007279983,0.0036923208,0.00032352106,0.000018091949,0.00014280035,0.0008952069],"genre_scores_gemma":[0.94174945,0.000073331146,0.056253687,0.00078665826,0.00014149507,0.00005770136,0.0000035789922,0.000029946314,0.0009041318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996364,0.00013207043,0.0010243481,0.0009817394,0.0008767869,0.000621082],"domain_scores_gemma":[0.9979817,0.0004741624,0.0003198154,0.0008019597,0.00026310413,0.00015920172],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005639564,0.00044972493,0.00041145706,0.0007811134,0.0008580396,0.0005000288,0.0020576154,0.0001987662,0.00014962757],"category_scores_gemma":[0.00003258312,0.00050817005,0.0002546056,0.0005431384,0.00023292698,0.0010204178,0.00001194989,0.001156887,0.00013058005],"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":[0.000024313424,0.00033323353,0.000036157297,0.000024561004,0.000027847891,0.0000407474,0.0014176039,0.8061912,0.000007117653,0.021251941,0.000028933688,0.17061634],"study_design_scores_gemma":[0.00022148398,0.00016741411,0.00054068945,0.00033151923,0.000009848179,0.000023950302,0.00014795881,0.9334017,0.004921808,0.059199654,0.00050945824,0.0005245025],"about_ca_topic_score_codex":0.00038679308,"about_ca_topic_score_gemma":0.0004153968,"teacher_disagreement_score":0.93498856,"about_ca_system_score_codex":0.00036873564,"about_ca_system_score_gemma":0.00019188956,"threshold_uncertainty_score":0.99973696},"labels":[],"label_agreement":null},{"id":"W4246277447","doi":"10.1109/tcyb.2020.3031653","title":"IEEE Transactions on Cybernetics","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.02311311682004189,"score_gpt":0.23770461277669733,"score_spread":0.21459149595665544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246277447","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":[0.004952616,0.000029667002,0.98152924,0.0058419295,0.0023390322,0.0003043526,0.000048167192,0.0005379249,0.0044171032],"genre_scores_gemma":[0.9749843,0.00012666335,0.014717428,0.00580875,0.00016143452,0.000034731165,0.0000011293839,0.000064799635,0.0041007916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99718654,0.00009559009,0.00053303194,0.0008338583,0.00073567283,0.0006152991],"domain_scores_gemma":[0.99829155,0.00018621453,0.00013665936,0.0007838604,0.00013684205,0.00046488323],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013798637,0.00046206077,0.00037116132,0.00018393432,0.00031657176,0.0003185836,0.0013269096,0.00024874858,0.00030308007],"category_scores_gemma":[0.0000054170737,0.0004685082,0.0003782827,0.0005955976,0.000121681645,0.0003286203,0.000002245538,0.0009905366,0.0012511397],"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":[0.0003345264,0.0027652218,0.000005231996,0.00015114895,0.0005791382,0.00025213286,0.014348734,0.5525084,0.011371196,0.012614224,0.01567767,0.38939238],"study_design_scores_gemma":[0.0018978321,0.002718527,0.000036743088,0.00016935029,0.00016994278,0.0000734555,0.00014559967,0.5261974,0.4227264,0.0011871225,0.043214623,0.0014630312],"about_ca_topic_score_codex":0.00007127853,"about_ca_topic_score_gemma":0.00004301177,"teacher_disagreement_score":0.9700317,"about_ca_system_score_codex":0.00011656213,"about_ca_system_score_gemma":0.00009479675,"threshold_uncertainty_score":0.99977666},"labels":[],"label_agreement":null},{"id":"W4246430992","doi":"10.1109/tcyb.2019.2943801","title":"IEEE Transactions on Cybernetics","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.012578493928432865,"score_gpt":0.23092227603004709,"score_spread":0.21834378210161423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246430992","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030376984,0.000025662728,0.95219916,0.0009934969,0.0052869455,0.0004253036,0.000035167977,0.00040568504,0.010251614],"genre_scores_gemma":[0.96020687,0.00010527484,0.009816461,0.0015220105,0.00008383443,0.000034168257,0.00000112041,0.00006438131,0.028165862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970995,0.00009250162,0.0005192189,0.00083214155,0.0007765339,0.0006800679],"domain_scores_gemma":[0.9979446,0.00023215986,0.00014683642,0.0012577071,0.00015004653,0.00026867245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021556763,0.00046725347,0.00038202046,0.00032411303,0.00024413131,0.00031256472,0.0013005782,0.00028681045,0.00057988573],"category_scores_gemma":[0.0000023372986,0.00046420397,0.00038594057,0.0004907978,0.00009695008,0.00037858437,0.0000020569712,0.00093488395,0.0032785244],"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":[0.00028356325,0.00411828,0.000022966538,0.0001630596,0.00062317227,0.0001192809,0.006630173,0.59444755,0.014153254,0.021743214,0.0068484726,0.35084698],"study_design_scores_gemma":[0.0031589852,0.003414804,0.00016442432,0.00042509948,0.00018959082,0.00016530362,0.00017502575,0.4279969,0.5113459,0.0029376713,0.047797043,0.0022292475],"about_ca_topic_score_codex":0.000116831034,"about_ca_topic_score_gemma":0.00006991054,"teacher_disagreement_score":0.9423827,"about_ca_system_score_codex":0.00017743089,"about_ca_system_score_gemma":0.0000967863,"threshold_uncertainty_score":0.99978095},"labels":[],"label_agreement":null},{"id":"W4246563594","doi":"10.1109/jproc.2019.2948688","title":"Proceedings of the IEEE publication information","year":2019,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Library science; Information retrieval","score_opus":0.005798276749226643,"score_gpt":0.1910634913405749,"score_spread":0.18526521459134826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246563594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948535,0.0000061214414,0.00013071114,0.004995693,0.0010175683,0.00043688607,0.000001823872,0.000056941393,0.044819232],"genre_scores_gemma":[0.99612737,0.000002528411,0.001183959,0.00058526907,0.0000567864,0.000011571479,1.2967801e-7,0.000006036167,0.002026352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876493,0.0000015920849,0.0003675984,0.00015934648,0.00052081,0.00018574823],"domain_scores_gemma":[0.99798787,0.000014236151,0.00076041615,0.00016743699,0.0010406354,0.000029389128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044779707,0.00011532945,0.00014626214,0.00008636127,0.0000756999,0.00022998547,0.0024656623,0.000069423695,0.000007697852],"category_scores_gemma":[0.00011745505,0.00006743758,0.00013022637,0.00051933527,0.000059218713,0.0028936376,0.00031770696,0.00017151098,0.000036216483],"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":[0.000037511174,0.00012897479,0.02030507,0.00085150945,0.00006582798,1.16614105e-8,0.0096212,0.000027581418,0.37483266,0.456928,0.1311346,0.006067043],"study_design_scores_gemma":[0.00038610373,0.00010539726,0.01059049,0.00029744898,0.000017007007,0.000013265814,0.00023610546,0.012037875,0.95155066,0.0074059446,0.017153157,0.00020652472],"about_ca_topic_score_codex":0.000023965067,"about_ca_topic_score_gemma":2.385791e-7,"teacher_disagreement_score":0.57671803,"about_ca_system_score_codex":0.000041420193,"about_ca_system_score_gemma":0.00003503046,"threshold_uncertainty_score":0.45818552},"labels":[],"label_agreement":null},{"id":"W4247001105","doi":"10.1109/tetci.2019.2925851","title":"IEEE Computational Intelligence Society","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computational intelligence; Computer science; Artificial intelligence","score_opus":0.027486410070369383,"score_gpt":0.2970382420182139,"score_spread":0.2695518319478445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247001105","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":[0.009042951,0.000034479683,0.98443663,0.0023236575,0.0027805693,0.0002636545,0.000008102311,0.00017603001,0.0009339395],"genre_scores_gemma":[0.8547367,0.000029002706,0.1428748,0.0012965245,0.000077868564,0.000021155756,0.000004076581,0.000018101588,0.0009417541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99735963,0.00007413293,0.0006690353,0.0007392842,0.0007297668,0.0004281443],"domain_scores_gemma":[0.9985995,0.0004811628,0.00015342163,0.0004051351,0.00025651045,0.00010421259],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040279783,0.0002973402,0.00027031262,0.00028232145,0.00019708887,0.00019705448,0.0011851301,0.00013059366,0.00022290245],"category_scores_gemma":[0.00000824735,0.00032251424,0.0002628501,0.00074587786,0.000100548576,0.0006243269,0.000015994538,0.0006513396,0.0005040294],"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":[0.000008910619,0.00016825018,0.000041897296,0.000024703522,0.00003061012,0.000006133274,0.0011934795,0.90019745,0.000018017688,0.05611977,0.00014041214,0.042050347],"study_design_scores_gemma":[0.00010258524,0.000112757705,0.00012766843,0.00011063998,0.0000044240037,0.000018130955,0.00011371016,0.9192867,0.0031219397,0.075975716,0.00068771286,0.000338009],"about_ca_topic_score_codex":0.00006854607,"about_ca_topic_score_gemma":0.000015550193,"teacher_disagreement_score":0.84569377,"about_ca_system_score_codex":0.00021974987,"about_ca_system_score_gemma":0.00015208182,"threshold_uncertainty_score":0.9999227},"labels":[],"label_agreement":null},{"id":"W4247089014","doi":"10.1109/emr.2018.2831350","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2018,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","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","funders":"","keywords":"Engineering management; Business; Management; Engineering; Economics","score_opus":0.01265362023187347,"score_gpt":0.2456597278248083,"score_spread":0.23300610759293483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247089014","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015604259,0.014529189,0.9687905,0.00313838,0.0022021907,0.0012073211,0.0000021033002,0.0011302799,0.0074396557],"genre_scores_gemma":[0.35219565,0.06376206,0.57129776,0.0042121876,0.00077922764,0.00061005255,0.0000054190414,0.00014141029,0.006996249],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99842674,0.000010906198,0.00035288636,0.0005182655,0.00025261389,0.00043861402],"domain_scores_gemma":[0.99908817,0.000022059941,0.00009251734,0.0006625759,0.00004799324,0.000086701424],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004037792,0.00031347063,0.0003466826,0.00020679332,0.00008675505,0.0001448371,0.0009739118,0.0000658994,0.000011489872],"category_scores_gemma":[0.000007370528,0.0003005937,0.0001219761,0.0007021322,0.00004862901,0.00027915696,0.00039320128,0.00021252397,0.00007533906],"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":[0.000003954274,0.00017424076,0.000048127884,0.022830276,0.0014761203,0.00032501624,0.00050298765,0.00091591827,0.0008983973,0.66890717,0.11786382,0.18605399],"study_design_scores_gemma":[0.00040430162,0.00019907788,0.00020049041,0.006466022,0.00013653097,0.0000534959,0.00002660931,0.074658066,0.0013407515,0.00032721565,0.915409,0.00077841233],"about_ca_topic_score_codex":0.000001921907,"about_ca_topic_score_gemma":3.524025e-7,"teacher_disagreement_score":0.7975452,"about_ca_system_score_codex":0.000065107284,"about_ca_system_score_gemma":0.0000047339777,"threshold_uncertainty_score":0.9999446},"labels":[],"label_agreement":null},{"id":"W4247337801","doi":"10.1109/tfuzz.2020.2980411","title":"IEEE Computational Intelligence Society","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Guangzhou University; Xiamen University; Brock University; Universidad Politécnica de Madrid; Victoria University; Victoria University of Wellington","keywords":"Computer science; Artificial intelligence","score_opus":0.032507331184523494,"score_gpt":0.24654326605762683,"score_spread":0.21403593487310335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247337801","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":[0.0008784619,0.000043052507,0.9922819,0.0024097105,0.0024621806,0.00018695211,0.000014165665,0.0003152216,0.0014083384],"genre_scores_gemma":[0.9882783,0.000009064947,0.009273686,0.0017365003,0.00016862173,0.000023383154,8.5125976e-7,0.000013370374,0.00049621135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856293,0.000054351072,0.0003158779,0.0004149119,0.00041364777,0.00023826967],"domain_scores_gemma":[0.9992961,0.00009660278,0.00008791187,0.00024463263,0.000107640764,0.00016708672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015267312,0.00016795265,0.00018969312,0.00004340609,0.00019736997,0.00027140116,0.0007268188,0.000079459074,0.000016593527],"category_scores_gemma":[0.0000020440993,0.00015931917,0.00021802082,0.00032193292,0.000041823143,0.00037544634,0.0000030720755,0.00028130165,0.00054577383],"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":[0.00001183452,0.00010613018,0.0000025823983,0.00008030153,0.00009073279,0.000011331845,0.003589434,0.96759826,0.0004946404,0.009866803,0.008402888,0.009745061],"study_design_scores_gemma":[0.00014754037,0.00017866198,0.000004659872,0.00005763369,0.000008930118,0.000026646234,0.00018306806,0.9901684,0.0046114074,0.0004635167,0.003915437,0.00023411133],"about_ca_topic_score_codex":0.000065389075,"about_ca_topic_score_gemma":0.0000017186023,"teacher_disagreement_score":0.9873999,"about_ca_system_score_codex":0.00006083248,"about_ca_system_score_gemma":0.0000594373,"threshold_uncertainty_score":0.70150006},"labels":[],"label_agreement":null},{"id":"W4247369538","doi":"10.1109/tfuzz.2019.2952994","title":"IEEE Computational Intelligence Society","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Computational intelligence; Computational complexity theory; Artificial intelligence; Algorithm","score_opus":0.015887483165955407,"score_gpt":0.23826303261510268,"score_spread":0.22237554944914728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247369538","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071027703,0.000036323774,0.9821345,0.00031626024,0.0062171943,0.00027276453,0.000009848742,0.0002273782,0.0036829342],"genre_scores_gemma":[0.98878646,0.0000075388048,0.005987816,0.0003852599,0.000081984894,0.000023572818,8.6639653e-7,0.000013633843,0.004712848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851996,0.00005235334,0.00030656284,0.00041394745,0.00044000678,0.00026715442],"domain_scores_gemma":[0.99915123,0.00012429195,0.00009546012,0.0004200054,0.00011962567,0.00008935956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025409952,0.00017011125,0.00019604336,0.000082887724,0.00014669832,0.0002655442,0.00071039627,0.000093496106,0.000034808018],"category_scores_gemma":[7.829439e-7,0.00015764567,0.0002230573,0.00025802874,0.000032269778,0.00044134207,0.000002779073,0.00026330102,0.001641629],"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":[0.000009003989,0.00015368327,0.000012845683,0.00008044411,0.00009063139,0.000004427636,0.0013658503,0.96996915,0.00058361667,0.016844317,0.0030027549,0.007883283],"study_design_scores_gemma":[0.0002236603,0.00019634343,0.000021847934,0.00013962192,0.000008571247,0.000056982433,0.0001913148,0.98932,0.0047074603,0.0011047114,0.0037087144,0.00032079124],"about_ca_topic_score_codex":0.000114961724,"about_ca_topic_score_gemma":0.000002992046,"teacher_disagreement_score":0.98168373,"about_ca_system_score_codex":0.00009827235,"about_ca_system_score_gemma":0.000060860046,"threshold_uncertainty_score":0.99913573},"labels":[],"label_agreement":null},{"id":"W4247845616","doi":"10.1109/tcyb.2020.2967017","title":"IEEE Transactions on Cybernetics","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.02311311682004189,"score_gpt":0.23770461277669733,"score_spread":0.21459149595665544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247845616","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":[0.004952616,0.000029667002,0.98152924,0.0058419295,0.0023390322,0.0003043526,0.000048167192,0.0005379249,0.0044171032],"genre_scores_gemma":[0.9749843,0.00012666335,0.014717428,0.00580875,0.00016143452,0.000034731165,0.0000011293839,0.000064799635,0.0041007916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99718654,0.00009559009,0.00053303194,0.0008338583,0.00073567283,0.0006152991],"domain_scores_gemma":[0.99829155,0.00018621453,0.00013665936,0.0007838604,0.00013684205,0.00046488323],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013798637,0.00046206077,0.00037116132,0.00018393432,0.00031657176,0.0003185836,0.0013269096,0.00024874858,0.00030308007],"category_scores_gemma":[0.0000054170737,0.0004685082,0.0003782827,0.0005955976,0.000121681645,0.0003286203,0.000002245538,0.0009905366,0.0012511397],"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":[0.0003345264,0.0027652218,0.000005231996,0.00015114895,0.0005791382,0.00025213286,0.014348734,0.5525084,0.011371196,0.012614224,0.01567767,0.38939238],"study_design_scores_gemma":[0.0018978321,0.002718527,0.000036743088,0.00016935029,0.00016994278,0.0000734555,0.00014559967,0.5261974,0.4227264,0.0011871225,0.043214623,0.0014630312],"about_ca_topic_score_codex":0.00007127853,"about_ca_topic_score_gemma":0.00004301177,"teacher_disagreement_score":0.9700317,"about_ca_system_score_codex":0.00011656213,"about_ca_system_score_gemma":0.00009479675,"threshold_uncertainty_score":0.99977666},"labels":[],"label_agreement":null},{"id":"W4248538422","doi":"10.1109/emr.2020.2974298","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2020,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","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","funders":"","keywords":"Engineering management; Management; Business; Engineering; Economics","score_opus":0.01709874114513656,"score_gpt":0.2342380284100863,"score_spread":0.21713928726494974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248538422","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006737759,0.020201366,0.9599559,0.012869131,0.00091675756,0.0011604902,0.0000025197746,0.0011777537,0.0030423126],"genre_scores_gemma":[0.33316264,0.10570201,0.5435833,0.01383857,0.00055365165,0.00066541164,0.000008471892,0.00016504608,0.0023209148],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847114,0.000010632734,0.00035645242,0.0005298315,0.00025251723,0.0003794488],"domain_scores_gemma":[0.99928635,0.00002191971,0.000087793924,0.00044914958,0.000026251522,0.00012852615],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024520422,0.00031166524,0.00038181164,0.00011730135,0.000056146033,0.00013737899,0.0009645136,0.00005812691,0.000008015807],"category_scores_gemma":[0.000009560194,0.00030569633,0.00013927113,0.0007298162,0.000021260596,0.00026284828,0.0004047361,0.00026763004,0.000048881437],"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":[0.000005507631,0.00015668977,0.000053370342,0.0551502,0.001896566,0.0008080497,0.00091983605,0.009745281,0.0012719752,0.61812943,0.14593361,0.16592947],"study_design_scores_gemma":[0.00043286645,0.00014631782,0.00009832873,0.0043069287,0.00014253521,0.00002806224,0.00003636738,0.17051877,0.00073145685,0.00012371266,0.8226869,0.0007477329],"about_ca_topic_score_codex":0.0000010077351,"about_ca_topic_score_gemma":7.965418e-8,"teacher_disagreement_score":0.6767533,"about_ca_system_score_codex":0.000046046247,"about_ca_system_score_gemma":0.000004462254,"threshold_uncertainty_score":0.9999395},"labels":[],"label_agreement":null},{"id":"W4249165404","doi":"10.1109/tcyb.2019.2934606","title":"IEEE Transactions on Cybernetics","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.012578493928432865,"score_gpt":0.23092227603004709,"score_spread":0.21834378210161423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249165404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030376984,0.000025662728,0.95219916,0.0009934969,0.0052869455,0.0004253036,0.000035167977,0.00040568504,0.010251614],"genre_scores_gemma":[0.96020687,0.00010527484,0.009816461,0.0015220105,0.00008383443,0.000034168257,0.00000112041,0.00006438131,0.028165862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970995,0.00009250162,0.0005192189,0.00083214155,0.0007765339,0.0006800679],"domain_scores_gemma":[0.9979446,0.00023215986,0.00014683642,0.0012577071,0.00015004653,0.00026867245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021556763,0.00046725347,0.00038202046,0.00032411303,0.00024413131,0.00031256472,0.0013005782,0.00028681045,0.00057988573],"category_scores_gemma":[0.0000023372986,0.00046420397,0.00038594057,0.0004907978,0.00009695008,0.00037858437,0.0000020569712,0.00093488395,0.0032785244],"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":[0.00028356325,0.00411828,0.000022966538,0.0001630596,0.00062317227,0.0001192809,0.006630173,0.59444755,0.014153254,0.021743214,0.0068484726,0.35084698],"study_design_scores_gemma":[0.0031589852,0.003414804,0.00016442432,0.00042509948,0.00018959082,0.00016530362,0.00017502575,0.4279969,0.5113459,0.0029376713,0.047797043,0.0022292475],"about_ca_topic_score_codex":0.000116831034,"about_ca_topic_score_gemma":0.00006991054,"teacher_disagreement_score":0.9423827,"about_ca_system_score_codex":0.00017743089,"about_ca_system_score_gemma":0.0000967863,"threshold_uncertainty_score":0.99978095},"labels":[],"label_agreement":null},{"id":"W4249212331","doi":"10.1109/tfuzz.2019.2928865","title":"IEEE Computational Intelligence Society","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Computational intelligence; Artificial intelligence","score_opus":0.015887483165955407,"score_gpt":0.23826303261510268,"score_spread":0.22237554944914728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249212331","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071027703,0.000036323774,0.9821345,0.00031626024,0.0062171943,0.00027276453,0.000009848742,0.0002273782,0.0036829342],"genre_scores_gemma":[0.98878646,0.0000075388048,0.005987816,0.0003852599,0.000081984894,0.000023572818,8.6639653e-7,0.000013633843,0.004712848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851996,0.00005235334,0.00030656284,0.00041394745,0.00044000678,0.00026715442],"domain_scores_gemma":[0.99915123,0.00012429195,0.00009546012,0.0004200054,0.00011962567,0.00008935956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025409952,0.00017011125,0.00019604336,0.000082887724,0.00014669832,0.0002655442,0.00071039627,0.000093496106,0.000034808018],"category_scores_gemma":[7.829439e-7,0.00015764567,0.0002230573,0.00025802874,0.000032269778,0.00044134207,0.000002779073,0.00026330102,0.001641629],"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":[0.000009003989,0.00015368327,0.000012845683,0.00008044411,0.00009063139,0.000004427636,0.0013658503,0.96996915,0.00058361667,0.016844317,0.0030027549,0.007883283],"study_design_scores_gemma":[0.0002236603,0.00019634343,0.000021847934,0.00013962192,0.000008571247,0.000056982433,0.0001913148,0.98932,0.0047074603,0.0011047114,0.0037087144,0.00032079124],"about_ca_topic_score_codex":0.000114961724,"about_ca_topic_score_gemma":0.000002992046,"teacher_disagreement_score":0.98168373,"about_ca_system_score_codex":0.00009827235,"about_ca_system_score_gemma":0.000060860046,"threshold_uncertainty_score":0.99913573},"labels":[],"label_agreement":null},{"id":"W4249387090","doi":"10.1109/jproc.2019.2950653","title":"Proceedings of the IEEE publication information","year":2019,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Information retrieval; World Wide Web","score_opus":0.005798276749226643,"score_gpt":0.1910634913405749,"score_spread":0.18526521459134826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249387090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948535,0.0000061214414,0.00013071114,0.004995693,0.0010175683,0.00043688607,0.000001823872,0.000056941393,0.044819232],"genre_scores_gemma":[0.99612737,0.000002528411,0.001183959,0.00058526907,0.0000567864,0.000011571479,1.2967801e-7,0.000006036167,0.002026352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876493,0.0000015920849,0.0003675984,0.00015934648,0.00052081,0.00018574823],"domain_scores_gemma":[0.99798787,0.000014236151,0.00076041615,0.00016743699,0.0010406354,0.000029389128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044779707,0.00011532945,0.00014626214,0.00008636127,0.0000756999,0.00022998547,0.0024656623,0.000069423695,0.000007697852],"category_scores_gemma":[0.00011745505,0.00006743758,0.00013022637,0.00051933527,0.000059218713,0.0028936376,0.00031770696,0.00017151098,0.000036216483],"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":[0.000037511174,0.00012897479,0.02030507,0.00085150945,0.00006582798,1.16614105e-8,0.0096212,0.000027581418,0.37483266,0.456928,0.1311346,0.006067043],"study_design_scores_gemma":[0.00038610373,0.00010539726,0.01059049,0.00029744898,0.000017007007,0.000013265814,0.00023610546,0.012037875,0.95155066,0.0074059446,0.017153157,0.00020652472],"about_ca_topic_score_codex":0.000023965067,"about_ca_topic_score_gemma":2.385791e-7,"teacher_disagreement_score":0.57671803,"about_ca_system_score_codex":0.000041420193,"about_ca_system_score_gemma":0.00003503046,"threshold_uncertainty_score":0.45818552},"labels":[],"label_agreement":null},{"id":"W4249519626","doi":"10.1109/tcyb.2020.3024364","title":"IEEE Transactions on Cybernetics","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Artificial intelligence","score_opus":0.02311311682004189,"score_gpt":0.23770461277669733,"score_spread":0.21459149595665544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249519626","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":[0.004952616,0.000029667002,0.98152924,0.0058419295,0.0023390322,0.0003043526,0.000048167192,0.0005379249,0.0044171032],"genre_scores_gemma":[0.9749843,0.00012666335,0.014717428,0.00580875,0.00016143452,0.000034731165,0.0000011293839,0.000064799635,0.0041007916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99718654,0.00009559009,0.00053303194,0.0008338583,0.00073567283,0.0006152991],"domain_scores_gemma":[0.99829155,0.00018621453,0.00013665936,0.0007838604,0.00013684205,0.00046488323],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013798637,0.00046206077,0.00037116132,0.00018393432,0.00031657176,0.0003185836,0.0013269096,0.00024874858,0.00030308007],"category_scores_gemma":[0.0000054170737,0.0004685082,0.0003782827,0.0005955976,0.000121681645,0.0003286203,0.000002245538,0.0009905366,0.0012511397],"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":[0.0003345264,0.0027652218,0.000005231996,0.00015114895,0.0005791382,0.00025213286,0.014348734,0.5525084,0.011371196,0.012614224,0.01567767,0.38939238],"study_design_scores_gemma":[0.0018978321,0.002718527,0.000036743088,0.00016935029,0.00016994278,0.0000734555,0.00014559967,0.5261974,0.4227264,0.0011871225,0.043214623,0.0014630312],"about_ca_topic_score_codex":0.00007127853,"about_ca_topic_score_gemma":0.00004301177,"teacher_disagreement_score":0.9700317,"about_ca_system_score_codex":0.00011656213,"about_ca_system_score_gemma":0.00009479675,"threshold_uncertainty_score":0.99977666},"labels":[],"label_agreement":null},{"id":"W4249628154","doi":"10.1007/978-3-642-31368-4","title":"Autonomous and Intelligent Systems","year":2012,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Internet of Things and AI","field":"Computer Science","cited_by":6,"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 Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Human–computer interaction","score_opus":0.013471142474363264,"score_gpt":0.2344277073931301,"score_spread":0.22095656491876683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249628154","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000065049324,0.0029966347,0.98701274,0.00038073532,0.0054320307,0.00029345512,0.0000019002391,0.00014761442,0.0036698133],"genre_scores_gemma":[0.349396,0.00020842114,0.62831247,0.0043413527,0.0041693076,0.00004327989,0.000009496238,0.00010537502,0.013414329],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99695575,0.000043978787,0.00043702294,0.0011170426,0.00068232534,0.0007638981],"domain_scores_gemma":[0.9981425,0.00025624342,0.00024410294,0.0009877258,0.00013614706,0.00023330966],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0010466281,0.0004292998,0.0004719697,0.00055649836,0.00017081304,0.00119474,0.00307576,0.0002734153,0.0000063654843],"category_scores_gemma":[0.000047258534,0.0003650601,0.000079258454,0.000400336,0.00045170027,0.0007168521,0.0020956844,0.0007063252,0.000062718165],"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":[0.0000024000915,0.00004735644,0.00007153757,0.00014579754,0.000016567801,0.000070974944,0.0025395402,0.009773575,0.000042608972,0.036879927,0.00061591965,0.9497938],"study_design_scores_gemma":[0.00016488649,0.00020952265,0.000090215144,0.00076086546,0.000010855651,0.00038123183,3.3601373e-7,0.9104654,0.0007179049,0.030610492,0.05560224,0.0009860081],"about_ca_topic_score_codex":0.000059371716,"about_ca_topic_score_gemma":0.000011440859,"teacher_disagreement_score":0.9488078,"about_ca_system_score_codex":0.0004619004,"about_ca_system_score_gemma":0.0005635102,"threshold_uncertainty_score":0.99988014},"labels":[],"label_agreement":null},{"id":"W4249826492","doi":"10.1109/tfuzz.2020.2973556","title":"IEEE Computational Intelligence Society","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"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":"Guangzhou University; Xiamen University; Brock University; Universidad Politécnica de Madrid; Victoria University; Victoria University of Wellington","keywords":"Computer science","score_opus":0.032507331184523494,"score_gpt":0.24654326605762683,"score_spread":0.21403593487310335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249826492","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":[0.0008784619,0.000043052507,0.9922819,0.0024097105,0.0024621806,0.00018695211,0.000014165665,0.0003152216,0.0014083384],"genre_scores_gemma":[0.9882783,0.000009064947,0.009273686,0.0017365003,0.00016862173,0.000023383154,8.5125976e-7,0.000013370374,0.00049621135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856293,0.000054351072,0.0003158779,0.0004149119,0.00041364777,0.00023826967],"domain_scores_gemma":[0.9992961,0.00009660278,0.00008791187,0.00024463263,0.000107640764,0.00016708672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015267312,0.00016795265,0.00018969312,0.00004340609,0.00019736997,0.00027140116,0.0007268188,0.000079459074,0.000016593527],"category_scores_gemma":[0.0000020440993,0.00015931917,0.00021802082,0.00032193292,0.000041823143,0.00037544634,0.0000030720755,0.00028130165,0.00054577383],"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":[0.00001183452,0.00010613018,0.0000025823983,0.00008030153,0.00009073279,0.000011331845,0.003589434,0.96759826,0.0004946404,0.009866803,0.008402888,0.009745061],"study_design_scores_gemma":[0.00014754037,0.00017866198,0.000004659872,0.00005763369,0.000008930118,0.000026646234,0.00018306806,0.9901684,0.0046114074,0.0004635167,0.003915437,0.00023411133],"about_ca_topic_score_codex":0.000065389075,"about_ca_topic_score_gemma":0.0000017186023,"teacher_disagreement_score":0.9873999,"about_ca_system_score_codex":0.00006083248,"about_ca_system_score_gemma":0.0000594373,"threshold_uncertainty_score":0.70150006},"labels":[],"label_agreement":null},{"id":"W4249894601","doi":"10.1109/mcom.2012.6316770","title":"Global Communications Newsletter","year":2012,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Internet of Things and AI","field":"Computer Science","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":"Toronto Metropolitan University","funders":"","keywords":"Telecommunications; Computer science; Library science","score_opus":0.043326348300252254,"score_gpt":0.3094947609086347,"score_spread":0.2661684126083824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249894601","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035984484,0.0049951766,0.4845091,0.142789,0.0021826283,0.000439084,0.00002863039,0.0008930227,0.3605649],"genre_scores_gemma":[0.7704279,0.00023241628,0.22342093,0.0043501146,0.00014450932,0.00004573327,0.000018718732,0.000010122979,0.0013495536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99878186,0.00018203573,0.00030658743,0.00016352616,0.00018486597,0.00038113334],"domain_scores_gemma":[0.9917226,0.0001321945,0.00013219962,0.007729503,0.00013243187,0.00015108268],"candidate_categories":["open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039991701,0.00015001593,0.00014784231,0.00006884003,0.00036372428,0.00018116889,0.008416337,0.00006471669,0.000031887685],"category_scores_gemma":[0.000042572705,0.00014697829,0.00009762027,0.0004985508,0.00021339758,0.0010565928,0.002471693,0.0002389479,0.0017369844],"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":[0.0000022665984,0.00064033834,0.005980661,0.0000072601747,0.00004965779,6.9020194e-7,0.0008225802,0.000010685669,0.0007377066,0.72853047,0.23798119,0.025236506],"study_design_scores_gemma":[0.0002117626,0.000021611038,0.009426745,0.000021653363,0.00001431711,0.000046718586,0.000014111857,0.013084706,0.00009832345,0.003252837,0.97355765,0.00024956453],"about_ca_topic_score_codex":0.00005509813,"about_ca_topic_score_gemma":0.00006793207,"teacher_disagreement_score":0.76682943,"about_ca_system_score_codex":0.00010684057,"about_ca_system_score_gemma":0.00003444811,"threshold_uncertainty_score":0.9990403},"labels":[],"label_agreement":null},{"id":"W4250491334","doi":"10.1109/tetci.2021.3049725","title":"IEEE Computational Intelligence Society","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Computational intelligence; Artificial intelligence","score_opus":0.03632018987249527,"score_gpt":0.3087151736868459,"score_spread":0.2723949838143507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250491334","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":[0.0022984508,0.000081819206,0.9899015,0.0044110296,0.0023128807,0.00012636544,0.000010689907,0.00016256713,0.00069471676],"genre_scores_gemma":[0.75212324,0.00006295331,0.2452044,0.0017010886,0.00010106498,0.000021004233,0.0000067102233,0.000016378162,0.00076316844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973238,0.000102577105,0.0006861408,0.00076134526,0.00071127055,0.00041482606],"domain_scores_gemma":[0.998408,0.0005023236,0.00013197842,0.0003920565,0.00044885182,0.000116780524],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003435894,0.00028284095,0.00025967555,0.00020546078,0.0002951562,0.00024529945,0.00091264665,0.00012780256,0.00016853695],"category_scores_gemma":[0.000019430312,0.0003228321,0.000281581,0.00095250783,0.00012170444,0.000526654,0.000018726458,0.0006486429,0.00014101273],"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":[0.0000052025557,0.00023336595,0.000012434054,0.000020454028,0.00003642853,0.00003642809,0.0011999424,0.8774659,0.000023533079,0.060313635,0.00021856252,0.060434103],"study_design_scores_gemma":[0.00008580467,0.00005544268,0.00007808308,0.000107250584,0.0000062719305,0.000050843493,0.00015275214,0.87776655,0.011339901,0.109156325,0.00087949703,0.00032129805],"about_ca_topic_score_codex":0.000046196754,"about_ca_topic_score_gemma":0.00003587281,"teacher_disagreement_score":0.74982476,"about_ca_system_score_codex":0.00021362181,"about_ca_system_score_gemma":0.00028323164,"threshold_uncertainty_score":0.9999224},"labels":[],"label_agreement":null},{"id":"W4250762656","doi":"10.1109/jproc.2020.3028636","title":"Proceedings of the IEEE publication information","year":2020,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; World Wide Web; Library science; Information retrieval","score_opus":0.012009916587081074,"score_gpt":0.19797477969419033,"score_spread":0.18596486310710925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250762656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90249896,0.000013889603,0.0009887358,0.05545456,0.00090011914,0.00061616674,0.000004857174,0.00014863042,0.039374053],"genre_scores_gemma":[0.9956915,0.0000029993503,0.001740127,0.0021460888,0.000105084255,0.000011756639,1.306908e-7,0.000005975381,0.00029635683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879694,0.0000016470153,0.0003778511,0.0001603222,0.0004954389,0.00016779218],"domain_scores_gemma":[0.9981918,0.000011521504,0.0007022242,0.00010487176,0.0009395653,0.000050049257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028699925,0.00011399546,0.00014222569,0.000049804486,0.000097590964,0.00023518641,0.0025040144,0.000059884813,0.0000041804597],"category_scores_gemma":[0.0002660953,0.00006817007,0.00012827672,0.00064281974,0.000073155585,0.0024925126,0.0003492579,0.00018260373,0.000013898311],"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":[0.000048878563,0.00009702285,0.0052928985,0.0008921928,0.00006888328,2.829074e-8,0.022704393,0.000029189336,0.3381121,0.30713746,0.31814682,0.007470156],"study_design_scores_gemma":[0.00029602833,0.00010678435,0.0030846463,0.00015482889,0.000019453417,0.000007678906,0.00025583702,0.020726757,0.95121115,0.0039388477,0.020024601,0.00017341261],"about_ca_topic_score_codex":0.000014676532,"about_ca_topic_score_gemma":1.5077363e-7,"teacher_disagreement_score":0.61309904,"about_ca_system_score_codex":0.000027773514,"about_ca_system_score_gemma":0.000034522047,"threshold_uncertainty_score":0.46531236},"labels":[],"label_agreement":null},{"id":"W4251426633","doi":"10.1109/tfuzz.2021.3100962","title":"IEEE Computational Intelligence Society","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"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":"Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; University of Warwick; Southern University of Science and Technology; Universidad de Granada; Florida Atlantic University; Inyuvesi Yakwazulu-Natali; Swinburne University of Technology; Universidad del Atlántico; Università degli Studi di Milano-Bicocca; University of Essex; Università degli Studi di Milano; St. Francis Xavier University","keywords":"Computer science; Computational intelligence; Computational complexity theory; Artificial intelligence; Algorithm","score_opus":0.0227007443413198,"score_gpt":0.25110621035327846,"score_spread":0.22840546601195866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251426633","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":[0.0013587907,0.00010368356,0.99000734,0.0006942244,0.004957508,0.00011250479,0.000013546553,0.00020495245,0.0025474662],"genre_scores_gemma":[0.9810174,0.000020433232,0.014389417,0.0005676655,0.00011767192,0.000025434192,0.0000016924066,0.000012813627,0.0038474665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848956,0.000077745164,0.00031674997,0.00043122406,0.0004284782,0.0002562388],"domain_scores_gemma":[0.999058,0.000131526,0.0000786052,0.00039978416,0.00023003248,0.000102046615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020885607,0.00016008117,0.00018708195,0.000056988836,0.00023758889,0.0003487534,0.0005168344,0.0000900727,0.000026356478],"category_scores_gemma":[0.0000021770004,0.0001581985,0.00024404404,0.0003577786,0.0000399774,0.00035556365,0.0000033965498,0.00026396333,0.00034551395],"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":[0.000006366451,0.00030749285,0.0000040241302,0.00008901482,0.00015387393,0.000053688487,0.0018872396,0.947644,0.0010845124,0.024982994,0.006640333,0.017146455],"study_design_scores_gemma":[0.00024847157,0.00011645997,0.000016490801,0.00019101656,0.000018114415,0.00027033614,0.0004001628,0.95855564,0.0304117,0.002453373,0.006899026,0.00041919504],"about_ca_topic_score_codex":0.000071533155,"about_ca_topic_score_gemma":0.000008275926,"teacher_disagreement_score":0.9796586,"about_ca_system_score_codex":0.000095964664,"about_ca_system_score_gemma":0.00012840128,"threshold_uncertainty_score":0.6451148},"labels":[],"label_agreement":null},{"id":"W4251559690","doi":"10.1109/jproc.2020.2991940","title":"Proceedings of the IEEE publication information","year":2020,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Information retrieval; World Wide Web","score_opus":0.012009916587081074,"score_gpt":0.19797477969419033,"score_spread":0.18596486310710925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251559690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90249896,0.000013889603,0.0009887358,0.05545456,0.00090011914,0.00061616674,0.000004857174,0.00014863042,0.039374053],"genre_scores_gemma":[0.9956915,0.0000029993503,0.001740127,0.0021460888,0.000105084255,0.000011756639,1.306908e-7,0.000005975381,0.00029635683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879694,0.0000016470153,0.0003778511,0.0001603222,0.0004954389,0.00016779218],"domain_scores_gemma":[0.9981918,0.000011521504,0.0007022242,0.00010487176,0.0009395653,0.000050049257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028699925,0.00011399546,0.00014222569,0.000049804486,0.000097590964,0.00023518641,0.0025040144,0.000059884813,0.0000041804597],"category_scores_gemma":[0.0002660953,0.00006817007,0.00012827672,0.00064281974,0.000073155585,0.0024925126,0.0003492579,0.00018260373,0.000013898311],"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":[0.000048878563,0.00009702285,0.0052928985,0.0008921928,0.00006888328,2.829074e-8,0.022704393,0.000029189336,0.3381121,0.30713746,0.31814682,0.007470156],"study_design_scores_gemma":[0.00029602833,0.00010678435,0.0030846463,0.00015482889,0.000019453417,0.000007678906,0.00025583702,0.020726757,0.95121115,0.0039388477,0.020024601,0.00017341261],"about_ca_topic_score_codex":0.000014676532,"about_ca_topic_score_gemma":1.5077363e-7,"teacher_disagreement_score":0.61309904,"about_ca_system_score_codex":0.000027773514,"about_ca_system_score_gemma":0.000034522047,"threshold_uncertainty_score":0.46531236},"labels":[],"label_agreement":null},{"id":"W4251616160","doi":"10.1109/tfuzz.2019.2942228","title":"IEEE Computational Intelligence Society","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Computational intelligence; Artificial intelligence","score_opus":0.015887483165955407,"score_gpt":0.23826303261510268,"score_spread":0.22237554944914728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251616160","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071027703,0.000036323774,0.9821345,0.00031626024,0.0062171943,0.00027276453,0.000009848742,0.0002273782,0.0036829342],"genre_scores_gemma":[0.98878646,0.0000075388048,0.005987816,0.0003852599,0.000081984894,0.000023572818,8.6639653e-7,0.000013633843,0.004712848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851996,0.00005235334,0.00030656284,0.00041394745,0.00044000678,0.00026715442],"domain_scores_gemma":[0.99915123,0.00012429195,0.00009546012,0.0004200054,0.00011962567,0.00008935956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025409952,0.00017011125,0.00019604336,0.000082887724,0.00014669832,0.0002655442,0.00071039627,0.000093496106,0.000034808018],"category_scores_gemma":[7.829439e-7,0.00015764567,0.0002230573,0.00025802874,0.000032269778,0.00044134207,0.000002779073,0.00026330102,0.001641629],"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":[0.000009003989,0.00015368327,0.000012845683,0.00008044411,0.00009063139,0.000004427636,0.0013658503,0.96996915,0.00058361667,0.016844317,0.0030027549,0.007883283],"study_design_scores_gemma":[0.0002236603,0.00019634343,0.000021847934,0.00013962192,0.000008571247,0.000056982433,0.0001913148,0.98932,0.0047074603,0.0011047114,0.0037087144,0.00032079124],"about_ca_topic_score_codex":0.000114961724,"about_ca_topic_score_gemma":0.000002992046,"teacher_disagreement_score":0.98168373,"about_ca_system_score_codex":0.00009827235,"about_ca_system_score_gemma":0.000060860046,"threshold_uncertainty_score":0.99913573},"labels":[],"label_agreement":null},{"id":"W4251741839","doi":"10.1109/tcyb.2019.2909362","title":"IEEE Transactions on Cybernetics","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.012578493928432865,"score_gpt":0.23092227603004709,"score_spread":0.21834378210161423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251741839","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030376984,0.000025662728,0.95219916,0.0009934969,0.0052869455,0.0004253036,0.000035167977,0.00040568504,0.010251614],"genre_scores_gemma":[0.96020687,0.00010527484,0.009816461,0.0015220105,0.00008383443,0.000034168257,0.00000112041,0.00006438131,0.028165862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970995,0.00009250162,0.0005192189,0.00083214155,0.0007765339,0.0006800679],"domain_scores_gemma":[0.9979446,0.00023215986,0.00014683642,0.0012577071,0.00015004653,0.00026867245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021556763,0.00046725347,0.00038202046,0.00032411303,0.00024413131,0.00031256472,0.0013005782,0.00028681045,0.00057988573],"category_scores_gemma":[0.0000023372986,0.00046420397,0.00038594057,0.0004907978,0.00009695008,0.00037858437,0.0000020569712,0.00093488395,0.0032785244],"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":[0.00028356325,0.00411828,0.000022966538,0.0001630596,0.00062317227,0.0001192809,0.006630173,0.59444755,0.014153254,0.021743214,0.0068484726,0.35084698],"study_design_scores_gemma":[0.0031589852,0.003414804,0.00016442432,0.00042509948,0.00018959082,0.00016530362,0.00017502575,0.4279969,0.5113459,0.0029376713,0.047797043,0.0022292475],"about_ca_topic_score_codex":0.000116831034,"about_ca_topic_score_gemma":0.00006991054,"teacher_disagreement_score":0.9423827,"about_ca_system_score_codex":0.00017743089,"about_ca_system_score_gemma":0.0000967863,"threshold_uncertainty_score":0.99978095},"labels":[],"label_agreement":null},{"id":"W4251754534","doi":"10.1109/tcyb.2016.2559718","title":"IEEE Transactions on Cybernetics publication information","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Cybernetics; Computer science; Data science; World Wide Web; Library science; Artificial intelligence","score_opus":0.012935336549145061,"score_gpt":0.2261962120202997,"score_spread":0.21326087547115463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251754534","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":[0.0030256577,0.000006962307,0.98301625,0.005362354,0.0023139517,0.00032546316,0.000063206826,0.00043615763,0.0054500136],"genre_scores_gemma":[0.9805843,0.00012969844,0.009137401,0.0018492165,0.00007324488,0.000078049656,0.000002787511,0.000031174048,0.008114088],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99763656,0.00007903037,0.0006193947,0.00045578892,0.00070243137,0.0005067879],"domain_scores_gemma":[0.9980012,0.00021697859,0.00022758993,0.0009464387,0.00037212897,0.00023565153],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026330148,0.00034793094,0.00023356461,0.00044894192,0.0002925731,0.00041984266,0.0009934577,0.00024654323,0.0002746042],"category_scores_gemma":[0.000011883327,0.00027984858,0.00023182249,0.0004943944,0.00010802003,0.001721626,0.0000017779521,0.00040971136,0.001961813],"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":[0.0000840541,0.0007588206,0.0000031565617,0.00003128086,0.00012721702,0.0000050417443,0.002047636,0.012958504,0.0030819217,0.01642069,0.0074944864,0.9569872],"study_design_scores_gemma":[0.004130268,0.0023190042,0.00029077916,0.0004977757,0.00016693634,0.00012581033,0.000116016454,0.14419425,0.6654382,0.00500053,0.17560765,0.0021127956],"about_ca_topic_score_codex":0.0000644439,"about_ca_topic_score_gemma":0.000041674815,"teacher_disagreement_score":0.9775587,"about_ca_system_score_codex":0.00024913411,"about_ca_system_score_gemma":0.000100371864,"threshold_uncertainty_score":0.99996537},"labels":[],"label_agreement":null},{"id":"W4252439892","doi":"10.1109/jproc.2019.2935285","title":"Proceedings of the IEEE publication information","year":2019,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; World Wide Web; Information retrieval","score_opus":0.005798276749226643,"score_gpt":0.1910634913405749,"score_spread":0.18526521459134826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252439892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948535,0.0000061214414,0.00013071114,0.004995693,0.0010175683,0.00043688607,0.000001823872,0.000056941393,0.044819232],"genre_scores_gemma":[0.99612737,0.000002528411,0.001183959,0.00058526907,0.0000567864,0.000011571479,1.2967801e-7,0.000006036167,0.002026352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876493,0.0000015920849,0.0003675984,0.00015934648,0.00052081,0.00018574823],"domain_scores_gemma":[0.99798787,0.000014236151,0.00076041615,0.00016743699,0.0010406354,0.000029389128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044779707,0.00011532945,0.00014626214,0.00008636127,0.0000756999,0.00022998547,0.0024656623,0.000069423695,0.000007697852],"category_scores_gemma":[0.00011745505,0.00006743758,0.00013022637,0.00051933527,0.000059218713,0.0028936376,0.00031770696,0.00017151098,0.000036216483],"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":[0.000037511174,0.00012897479,0.02030507,0.00085150945,0.00006582798,1.16614105e-8,0.0096212,0.000027581418,0.37483266,0.456928,0.1311346,0.006067043],"study_design_scores_gemma":[0.00038610373,0.00010539726,0.01059049,0.00029744898,0.000017007007,0.000013265814,0.00023610546,0.012037875,0.95155066,0.0074059446,0.017153157,0.00020652472],"about_ca_topic_score_codex":0.000023965067,"about_ca_topic_score_gemma":2.385791e-7,"teacher_disagreement_score":0.57671803,"about_ca_system_score_codex":0.000041420193,"about_ca_system_score_gemma":0.00003503046,"threshold_uncertainty_score":0.45818552},"labels":[],"label_agreement":null},{"id":"W4252604694","doi":"10.1109/tfuzz.2019.2947937","title":"IEEE Computational Intelligence Society","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Computational intelligence; Artificial intelligence","score_opus":0.015887483165955407,"score_gpt":0.23826303261510268,"score_spread":0.22237554944914728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252604694","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071027703,0.000036323774,0.9821345,0.00031626024,0.0062171943,0.00027276453,0.000009848742,0.0002273782,0.0036829342],"genre_scores_gemma":[0.98878646,0.0000075388048,0.005987816,0.0003852599,0.000081984894,0.000023572818,8.6639653e-7,0.000013633843,0.004712848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851996,0.00005235334,0.00030656284,0.00041394745,0.00044000678,0.00026715442],"domain_scores_gemma":[0.99915123,0.00012429195,0.00009546012,0.0004200054,0.00011962567,0.00008935956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025409952,0.00017011125,0.00019604336,0.000082887724,0.00014669832,0.0002655442,0.00071039627,0.000093496106,0.000034808018],"category_scores_gemma":[7.829439e-7,0.00015764567,0.0002230573,0.00025802874,0.000032269778,0.00044134207,0.000002779073,0.00026330102,0.001641629],"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":[0.000009003989,0.00015368327,0.000012845683,0.00008044411,0.00009063139,0.000004427636,0.0013658503,0.96996915,0.00058361667,0.016844317,0.0030027549,0.007883283],"study_design_scores_gemma":[0.0002236603,0.00019634343,0.000021847934,0.00013962192,0.000008571247,0.000056982433,0.0001913148,0.98932,0.0047074603,0.0011047114,0.0037087144,0.00032079124],"about_ca_topic_score_codex":0.000114961724,"about_ca_topic_score_gemma":0.000002992046,"teacher_disagreement_score":0.98168373,"about_ca_system_score_codex":0.00009827235,"about_ca_system_score_gemma":0.000060860046,"threshold_uncertainty_score":0.99913573},"labels":[],"label_agreement":null},{"id":"W4252679972","doi":"10.1109/tetci.2020.3007698","title":"IEEE Computational Intelligence Society","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Computational intelligence; Artificial intelligence","score_opus":0.04799268395234947,"score_gpt":0.3045529724079871,"score_spread":0.25656028845563766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252679972","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":[0.0016166993,0.00003937288,0.9839848,0.01224342,0.0012709443,0.00019214074,0.000010946266,0.00022748948,0.00041417568],"genre_scores_gemma":[0.80989754,0.000032293832,0.18540286,0.0043503093,0.00013815136,0.000019826823,0.0000037898305,0.000017133521,0.00013807925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99742025,0.000076328404,0.00068451517,0.0007371975,0.0006907807,0.00039095472],"domain_scores_gemma":[0.99879146,0.00038844027,0.00014499103,0.0002599404,0.00023855249,0.0001766374],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026611664,0.0002944361,0.0002629212,0.00016389797,0.00025246516,0.00019978962,0.0012139024,0.000115189716,0.00011675684],"category_scores_gemma":[0.000018450308,0.00032468096,0.00025650824,0.0008716534,0.00012644599,0.00055286236,0.000017205188,0.0006833002,0.0002043583],"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":[0.000011422469,0.00012581317,0.000011259472,0.000024647159,0.00003075339,0.000012895969,0.002720271,0.9087269,0.000015988328,0.03693908,0.000339776,0.05104124],"study_design_scores_gemma":[0.000090957874,0.00013023757,0.000044342076,0.0000652281,0.0000056838576,0.000011869436,0.00013305855,0.9479695,0.0038028932,0.046539463,0.000882452,0.00032434074],"about_ca_topic_score_codex":0.000043177995,"about_ca_topic_score_gemma":0.000009606837,"teacher_disagreement_score":0.8082809,"about_ca_system_score_codex":0.00014535029,"about_ca_system_score_gemma":0.00014810465,"threshold_uncertainty_score":0.99992055},"labels":[],"label_agreement":null},{"id":"W4252773688","doi":"10.1007/978-981-13-6095-4","title":"Intelligent Systems, Technologies and Applications","year":2019,"lang":"en","type":"book","venue":"Advances in intelligent systems and computing","topic":"Internet of Things and AI","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Systems engineering; Data science; Human–computer interaction; Engineering","score_opus":0.012407564047271299,"score_gpt":0.25877885365664793,"score_spread":0.24637128960937663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252773688","genre_codex":"methods","genre_gemma":"other","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":[0.00005161363,0.21568583,0.7246087,0.0000663359,0.0025637918,0.0014896662,0.000009078871,0.00042237417,0.055102613],"genre_scores_gemma":[0.38662004,0.102897026,0.013532413,0.00035371908,0.002371459,0.0007016925,0.0000864148,0.0003183318,0.49311888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970805,0.000058582827,0.00097649766,0.0010538935,0.0003540621,0.00047647493],"domain_scores_gemma":[0.99802476,0.00036311673,0.0006468697,0.00076283806,0.0001302708,0.00007216901],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005683666,0.0004958678,0.0008058469,0.0004224735,0.00015947547,0.00062230695,0.0012193783,0.0003585457,0.0000010708434],"category_scores_gemma":[0.000026975566,0.00044644397,0.00008087581,0.00018113336,0.0001482817,0.00040921947,0.0012238284,0.00064435945,0.00005005068],"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":[0.00000287827,0.00002609447,0.00016887624,0.0016314026,0.000044527296,0.000016169079,0.00038849094,0.0049729384,0.0000025096615,0.75647944,0.0007761263,0.23549055],"study_design_scores_gemma":[0.0000942491,0.00010899994,0.000003424296,0.0035613487,0.000014024644,0.00014678878,0.0009570464,0.1154293,0.000031945005,0.007373935,0.8716555,0.00062342297],"about_ca_topic_score_codex":0.00008057378,"about_ca_topic_score_gemma":0.000010722185,"teacher_disagreement_score":0.8708794,"about_ca_system_score_codex":0.00022807358,"about_ca_system_score_gemma":0.00008346974,"threshold_uncertainty_score":0.9997987},"labels":[],"label_agreement":null},{"id":"W4252779725","doi":"10.1109/jproc.2018.2885156","title":"Proceedings of the IEEE publication information","year":2018,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Information retrieval; Data science; Library science","score_opus":0.008612834583492449,"score_gpt":0.20939410426479255,"score_spread":0.2007812696813001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252779725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93008834,0.000006066824,0.0005752304,0.008044057,0.0013576876,0.00039805193,0.0000024808498,0.00008734574,0.059440747],"genre_scores_gemma":[0.9958493,0.0000020398993,0.002172756,0.0007328438,0.00017278938,0.0000123307855,9.3650286e-8,0.0000058962746,0.0010519179],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99877924,0.000001685222,0.00037334327,0.0001561973,0.0004943501,0.00019518551],"domain_scores_gemma":[0.99729764,0.000011507053,0.00074768736,0.00015678,0.0017527248,0.00003365439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048184136,0.00011474715,0.00012882112,0.00008834672,0.00015188284,0.00024719106,0.0025364382,0.000068629546,0.000006040079],"category_scores_gemma":[0.00020390237,0.00006689223,0.000111526715,0.00060311443,0.00017218005,0.0026818863,0.00033607264,0.0001429337,0.000021948206],"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":[0.000040858886,0.00012747684,0.005608867,0.0004216001,0.00006200457,1.250662e-8,0.0143549265,0.000002979621,0.27949923,0.3866089,0.30341542,0.009857728],"study_design_scores_gemma":[0.00020604116,0.00010909759,0.004739597,0.00017363549,0.0000137437,0.000010941044,0.0001350433,0.0062442375,0.9630048,0.007834965,0.017393623,0.00013426143],"about_ca_topic_score_codex":0.000028532833,"about_ca_topic_score_gemma":6.8066464e-7,"teacher_disagreement_score":0.6835056,"about_ca_system_score_codex":0.000039281098,"about_ca_system_score_gemma":0.000036330755,"threshold_uncertainty_score":0.47133756},"labels":[],"label_agreement":null},{"id":"W4252818288","doi":"10.1109/tcyb.2021.3049985","title":"IEEE Transactions on Cybernetics","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.01703339875355985,"score_gpt":0.24154321205632864,"score_spread":0.22450981330276878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252818288","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":[0.007265501,0.00006426663,0.9783168,0.0019753466,0.0043327846,0.00019571012,0.00004647084,0.00037021903,0.007432941],"genre_scores_gemma":[0.95102036,0.00026065117,0.021792889,0.0022090718,0.000118972115,0.000037756916,0.000002082418,0.000063052204,0.024495147],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99705815,0.00013077704,0.00053428207,0.0008624284,0.0007586605,0.0006556861],"domain_scores_gemma":[0.9978597,0.00024394368,0.00012387359,0.0012046306,0.00026606044,0.00030180355],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018155602,0.00044304217,0.00036668094,0.00023345563,0.00037240455,0.00039681955,0.000984495,0.0002776134,0.00045439723],"category_scores_gemma":[0.0000057243024,0.000465622,0.0004175399,0.00065328303,0.00011696493,0.0003133182,0.0000024519795,0.0009368966,0.0008385783],"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":[0.00016407006,0.0059248945,0.0000065135378,0.00013963637,0.00077645667,0.00083134277,0.006897456,0.3981614,0.019080598,0.024082499,0.010763474,0.53317165],"study_design_scores_gemma":[0.0014602841,0.00091126724,0.000054178177,0.00023574808,0.00015390193,0.0002724761,0.00014075478,0.13610707,0.8223825,0.0024907175,0.034603335,0.0011877792],"about_ca_topic_score_codex":0.00007710712,"about_ca_topic_score_gemma":0.0001703953,"teacher_disagreement_score":0.9565239,"about_ca_system_score_codex":0.00017376507,"about_ca_system_score_gemma":0.00018611694,"threshold_uncertainty_score":0.9999394},"labels":[],"label_agreement":null},{"id":"W4253377011","doi":"10.1109/tfuzz.2020.2993437","title":"IEEE Computational Intelligence Society","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Guangzhou University; Xiamen University; Brock University; Universidad Politécnica de Madrid; Victoria University; Victoria University of Wellington","keywords":"Computer science; Computational intelligence; Artificial intelligence","score_opus":0.032507331184523494,"score_gpt":0.24654326605762683,"score_spread":0.21403593487310335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253377011","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":[0.0008784619,0.000043052507,0.9922819,0.0024097105,0.0024621806,0.00018695211,0.000014165665,0.0003152216,0.0014083384],"genre_scores_gemma":[0.9882783,0.000009064947,0.009273686,0.0017365003,0.00016862173,0.000023383154,8.5125976e-7,0.000013370374,0.00049621135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856293,0.000054351072,0.0003158779,0.0004149119,0.00041364777,0.00023826967],"domain_scores_gemma":[0.9992961,0.00009660278,0.00008791187,0.00024463263,0.000107640764,0.00016708672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015267312,0.00016795265,0.00018969312,0.00004340609,0.00019736997,0.00027140116,0.0007268188,0.000079459074,0.000016593527],"category_scores_gemma":[0.0000020440993,0.00015931917,0.00021802082,0.00032193292,0.000041823143,0.00037544634,0.0000030720755,0.00028130165,0.00054577383],"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":[0.00001183452,0.00010613018,0.0000025823983,0.00008030153,0.00009073279,0.000011331845,0.003589434,0.96759826,0.0004946404,0.009866803,0.008402888,0.009745061],"study_design_scores_gemma":[0.00014754037,0.00017866198,0.000004659872,0.00005763369,0.000008930118,0.000026646234,0.00018306806,0.9901684,0.0046114074,0.0004635167,0.003915437,0.00023411133],"about_ca_topic_score_codex":0.000065389075,"about_ca_topic_score_gemma":0.0000017186023,"teacher_disagreement_score":0.9873999,"about_ca_system_score_codex":0.00006083248,"about_ca_system_score_gemma":0.0000594373,"threshold_uncertainty_score":0.70150006},"labels":[],"label_agreement":null},{"id":"W4253377158","doi":"10.1109/jproc.2021.3073452","title":"Proceedings of the IEEE publication information","year":2021,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Library science; Information retrieval","score_opus":0.008309317969230002,"score_gpt":0.20194501736511952,"score_spread":0.1936356993958895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253377158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9288708,0.000024535648,0.0005427888,0.015959047,0.0013487692,0.00033015857,0.000003840675,0.00008378255,0.052836284],"genre_scores_gemma":[0.9947106,0.000006170719,0.002596089,0.0008437308,0.00007933947,0.00001298091,2.3975875e-7,0.0000059056806,0.0017449073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998764,0.0000022434017,0.0003786886,0.00016568198,0.0005106289,0.00017876193],"domain_scores_gemma":[0.997355,0.000014999373,0.0006380075,0.00015944698,0.0017997123,0.000032853448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037715392,0.00010941694,0.00014064803,0.00006293815,0.00011424615,0.00029250036,0.001872271,0.00006671024,0.000006311675],"category_scores_gemma":[0.00028102502,0.000067749184,0.00014137686,0.0007032192,0.0000704154,0.002385569,0.00038029967,0.00017277707,0.000009312735],"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":[0.000017982356,0.00015098786,0.004847398,0.00061126944,0.000067860645,6.650987e-8,0.008291568,0.000015486241,0.40475252,0.4118711,0.1616467,0.0077270386],"study_design_scores_gemma":[0.0001788457,0.000028709317,0.0035022004,0.00016830722,0.000013764749,0.000021327129,0.00019668472,0.0038064602,0.97338015,0.0061943373,0.012398591,0.00011062236],"about_ca_topic_score_codex":0.000015947067,"about_ca_topic_score_gemma":5.76301e-7,"teacher_disagreement_score":0.5686276,"about_ca_system_score_codex":0.0000408729,"about_ca_system_score_gemma":0.00006644234,"threshold_uncertainty_score":0.34791765},"labels":[],"label_agreement":null},{"id":"W4253385115","doi":"10.1109/jproc.2018.2879154","title":"Proceedings of the IEEE publication information","year":2018,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Computer science; Library science","score_opus":0.008612834583492449,"score_gpt":0.20939410426479255,"score_spread":0.2007812696813001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253385115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93008834,0.000006066824,0.0005752304,0.008044057,0.0013576876,0.00039805193,0.0000024808498,0.00008734574,0.059440747],"genre_scores_gemma":[0.9958493,0.0000020398993,0.002172756,0.0007328438,0.00017278938,0.0000123307855,9.3650286e-8,0.0000058962746,0.0010519179],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99877924,0.000001685222,0.00037334327,0.0001561973,0.0004943501,0.00019518551],"domain_scores_gemma":[0.99729764,0.000011507053,0.00074768736,0.00015678,0.0017527248,0.00003365439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048184136,0.00011474715,0.00012882112,0.00008834672,0.00015188284,0.00024719106,0.0025364382,0.000068629546,0.000006040079],"category_scores_gemma":[0.00020390237,0.00006689223,0.000111526715,0.00060311443,0.00017218005,0.0026818863,0.00033607264,0.0001429337,0.000021948206],"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":[0.000040858886,0.00012747684,0.005608867,0.0004216001,0.00006200457,1.250662e-8,0.0143549265,0.000002979621,0.27949923,0.3866089,0.30341542,0.009857728],"study_design_scores_gemma":[0.00020604116,0.00010909759,0.004739597,0.00017363549,0.0000137437,0.000010941044,0.0001350433,0.0062442375,0.9630048,0.007834965,0.017393623,0.00013426143],"about_ca_topic_score_codex":0.000028532833,"about_ca_topic_score_gemma":6.8066464e-7,"teacher_disagreement_score":0.6835056,"about_ca_system_score_codex":0.000039281098,"about_ca_system_score_gemma":0.000036330755,"threshold_uncertainty_score":0.47133756},"labels":[],"label_agreement":null},{"id":"W4253519365","doi":"10.1109/tfuzz.2020.2964378","title":"IEEE Computational Intelligence Society","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"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":"Guangzhou University; Xiamen University; Brock University; Universidad Politécnica de Madrid; Victoria University; Victoria University of Wellington","keywords":"Computer science; Computational intelligence; Artificial intelligence","score_opus":0.032507331184523494,"score_gpt":0.24654326605762683,"score_spread":0.21403593487310335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253519365","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":[0.0008784619,0.000043052507,0.9922819,0.0024097105,0.0024621806,0.00018695211,0.000014165665,0.0003152216,0.0014083384],"genre_scores_gemma":[0.9882783,0.000009064947,0.009273686,0.0017365003,0.00016862173,0.000023383154,8.5125976e-7,0.000013370374,0.00049621135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856293,0.000054351072,0.0003158779,0.0004149119,0.00041364777,0.00023826967],"domain_scores_gemma":[0.9992961,0.00009660278,0.00008791187,0.00024463263,0.000107640764,0.00016708672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015267312,0.00016795265,0.00018969312,0.00004340609,0.00019736997,0.00027140116,0.0007268188,0.000079459074,0.000016593527],"category_scores_gemma":[0.0000020440993,0.00015931917,0.00021802082,0.00032193292,0.000041823143,0.00037544634,0.0000030720755,0.00028130165,0.00054577383],"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":[0.00001183452,0.00010613018,0.0000025823983,0.00008030153,0.00009073279,0.000011331845,0.003589434,0.96759826,0.0004946404,0.009866803,0.008402888,0.009745061],"study_design_scores_gemma":[0.00014754037,0.00017866198,0.000004659872,0.00005763369,0.000008930118,0.000026646234,0.00018306806,0.9901684,0.0046114074,0.0004635167,0.003915437,0.00023411133],"about_ca_topic_score_codex":0.000065389075,"about_ca_topic_score_gemma":0.0000017186023,"teacher_disagreement_score":0.9873999,"about_ca_system_score_codex":0.00006083248,"about_ca_system_score_gemma":0.0000594373,"threshold_uncertainty_score":0.70150006},"labels":[],"label_agreement":null},{"id":"W4253616130","doi":"10.1109/tcyb.2018.2877552","title":"IEEE Transactions on Cybernetics","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Cybernetics; Computer science; Artificial intelligence","score_opus":0.017496397266088766,"score_gpt":0.2484594518436753,"score_spread":0.23096305457758654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253616130","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":[0.010553515,0.000018688766,0.972265,0.0011933268,0.0052004773,0.00028289846,0.000035584155,0.0004597831,0.009990722],"genre_scores_gemma":[0.96481127,0.000085222855,0.018070254,0.0019265276,0.00026439806,0.00003636782,8.123082e-7,0.00006320127,0.014741928],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99710774,0.00009816525,0.0005274686,0.00081491726,0.0007359971,0.0007157142],"domain_scores_gemma":[0.99792737,0.0001874771,0.00014427469,0.0011759874,0.00025686895,0.00030805112],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023229036,0.0004648457,0.00033556533,0.00033263996,0.0004987282,0.00033672142,0.0013402712,0.00028350658,0.00044142184],"category_scores_gemma":[0.0000041281446,0.0004603713,0.00032941185,0.0005725118,0.0002886542,0.00034979885,0.000002179399,0.0007789001,0.0019635789],"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":[0.00044750737,0.005840663,0.000008879456,0.0001134949,0.0008431391,0.00018442092,0.014451253,0.093823366,0.014955955,0.026440777,0.02370718,0.81918335],"study_design_scores_gemma":[0.0017499081,0.003712142,0.00007659698,0.0002566647,0.00016093774,0.00014277385,0.000104125946,0.23645288,0.70240414,0.0032464408,0.05018234,0.00151104],"about_ca_topic_score_codex":0.00013988344,"about_ca_topic_score_gemma":0.00020342435,"teacher_disagreement_score":0.9542578,"about_ca_system_score_codex":0.00016742361,"about_ca_system_score_gemma":0.00010086863,"threshold_uncertainty_score":0.9997848},"labels":[],"label_agreement":null},{"id":"W4253689343","doi":"10.1109/tcyb.2020.3000079","title":"IEEE Transactions on Cybernetics","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.02311311682004189,"score_gpt":0.23770461277669733,"score_spread":0.21459149595665544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253689343","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":[0.004952616,0.000029667002,0.98152924,0.0058419295,0.0023390322,0.0003043526,0.000048167192,0.0005379249,0.0044171032],"genre_scores_gemma":[0.9749843,0.00012666335,0.014717428,0.00580875,0.00016143452,0.000034731165,0.0000011293839,0.000064799635,0.0041007916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99718654,0.00009559009,0.00053303194,0.0008338583,0.00073567283,0.0006152991],"domain_scores_gemma":[0.99829155,0.00018621453,0.00013665936,0.0007838604,0.00013684205,0.00046488323],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013798637,0.00046206077,0.00037116132,0.00018393432,0.00031657176,0.0003185836,0.0013269096,0.00024874858,0.00030308007],"category_scores_gemma":[0.0000054170737,0.0004685082,0.0003782827,0.0005955976,0.000121681645,0.0003286203,0.000002245538,0.0009905366,0.0012511397],"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":[0.0003345264,0.0027652218,0.000005231996,0.00015114895,0.0005791382,0.00025213286,0.014348734,0.5525084,0.011371196,0.012614224,0.01567767,0.38939238],"study_design_scores_gemma":[0.0018978321,0.002718527,0.000036743088,0.00016935029,0.00016994278,0.0000734555,0.00014559967,0.5261974,0.4227264,0.0011871225,0.043214623,0.0014630312],"about_ca_topic_score_codex":0.00007127853,"about_ca_topic_score_gemma":0.00004301177,"teacher_disagreement_score":0.9700317,"about_ca_system_score_codex":0.00011656213,"about_ca_system_score_gemma":0.00009479675,"threshold_uncertainty_score":0.99977666},"labels":[],"label_agreement":null},{"id":"W4253748999","doi":"10.1109/tetci.2019.2951074","title":"IEEE Transactions on Emerging Topics in Computational Intelligence","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Data science","score_opus":0.03115165272467555,"score_gpt":0.3044738550862258,"score_spread":0.27332220236155025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253748999","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":[0.015762689,0.00003789872,0.97504,0.0040192613,0.003723013,0.0004296306,0.00001526899,0.0001677896,0.00080442196],"genre_scores_gemma":[0.9473702,0.000055211356,0.05001242,0.0011230172,0.00009696204,0.000050678504,0.0000052565656,0.00003216025,0.0012541224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962083,0.00015808601,0.0010757217,0.0010119651,0.0009223091,0.0006236111],"domain_scores_gemma":[0.9982579,0.0006262877,0.00020508205,0.0005246172,0.00024347292,0.00014266523],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051195355,0.0004497044,0.00042389217,0.0009810493,0.0002596033,0.00021583997,0.0012752671,0.00019852752,0.0003262996],"category_scores_gemma":[0.000013071767,0.0005074475,0.00025284727,0.0012465735,0.000115130715,0.0007407615,0.0000078599505,0.0011718412,0.00033879725],"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":[0.000028633749,0.00036833723,0.000045420496,0.000035886183,0.000028952958,0.00002265247,0.0017245619,0.8678586,0.000013932827,0.022763342,0.000025465193,0.107084215],"study_design_scores_gemma":[0.0002287681,0.00022740131,0.00022822112,0.0003178452,0.000007991276,0.000023523726,0.00022939696,0.9537816,0.0047977353,0.039049774,0.00057845085,0.0005292943],"about_ca_topic_score_codex":0.00020616363,"about_ca_topic_score_gemma":0.0001693939,"teacher_disagreement_score":0.9316075,"about_ca_system_score_codex":0.0004211939,"about_ca_system_score_gemma":0.0001949289,"threshold_uncertainty_score":0.99973774},"labels":[],"label_agreement":null},{"id":"W4253821586","doi":"10.1088/1742-6596/1756/1/011001","title":"PREFACE","year":2021,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Internet of Things and AI","field":"Computer Science","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":"Presentation (obstetrics); Government (linguistics); China; Prosperity; Order (exchange); Public relations; Political science; Postponement; Media studies; Library science; Engineering; Operations research; Sociology; Business; Computer science; Marketing; Law; Medicine","score_opus":0.0199842661855992,"score_gpt":0.2387028291211508,"score_spread":0.21871856293555159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253821586","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03272483,0.0001780596,0.9513275,0.005451651,0.0011264561,0.00002165035,0.0000011716077,0.000023698662,0.009144994],"genre_scores_gemma":[0.9674943,0.000055827957,0.029978706,0.0002563496,0.00022501315,2.744006e-7,2.4198062e-7,0.0000037221726,0.0019855716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993236,0.000030105175,0.00019983422,0.00009281859,0.0002344919,0.000119167285],"domain_scores_gemma":[0.9988685,0.0000201743,0.00021919514,0.00018667744,0.0006513415,0.000054111002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106647836,0.000073974006,0.00015841922,0.00001730151,0.00004251578,0.0002877687,0.0005407784,0.000022587152,0.000033138527],"category_scores_gemma":[0.000036143305,0.00006126814,0.000092976436,0.00011351497,0.00003202761,0.0013667092,0.00015932276,0.00016710564,0.00001348897],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007020967,0.00005821131,0.00006693647,0.00001391677,0.000036864076,0.00011276463,0.0015940645,0.000044037915,0.02210946,0.88217306,0.0015389931,0.092244655],"study_design_scores_gemma":[0.00018120332,0.00017451304,0.00036208003,0.000099690566,0.00000817272,0.00027858742,0.00022401763,0.0004703168,0.83587074,0.14350733,0.018692732,0.00013058836],"about_ca_topic_score_codex":0.0000016954656,"about_ca_topic_score_gemma":0.0000015640726,"teacher_disagreement_score":0.93476945,"about_ca_system_score_codex":0.000013758031,"about_ca_system_score_gemma":0.00027085145,"threshold_uncertainty_score":0.277496},"labels":[],"label_agreement":null},{"id":"W4254222948","doi":"10.1109/tcyb.2019.2918606","title":"IEEE Transactions on Cybernetics","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.012578493928432865,"score_gpt":0.23092227603004709,"score_spread":0.21834378210161423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254222948","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030376984,0.000025662728,0.95219916,0.0009934969,0.0052869455,0.0004253036,0.000035167977,0.00040568504,0.010251614],"genre_scores_gemma":[0.96020687,0.00010527484,0.009816461,0.0015220105,0.00008383443,0.000034168257,0.00000112041,0.00006438131,0.028165862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970995,0.00009250162,0.0005192189,0.00083214155,0.0007765339,0.0006800679],"domain_scores_gemma":[0.9979446,0.00023215986,0.00014683642,0.0012577071,0.00015004653,0.00026867245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021556763,0.00046725347,0.00038202046,0.00032411303,0.00024413131,0.00031256472,0.0013005782,0.00028681045,0.00057988573],"category_scores_gemma":[0.0000023372986,0.00046420397,0.00038594057,0.0004907978,0.00009695008,0.00037858437,0.0000020569712,0.00093488395,0.0032785244],"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":[0.00028356325,0.00411828,0.000022966538,0.0001630596,0.00062317227,0.0001192809,0.006630173,0.59444755,0.014153254,0.021743214,0.0068484726,0.35084698],"study_design_scores_gemma":[0.0031589852,0.003414804,0.00016442432,0.00042509948,0.00018959082,0.00016530362,0.00017502575,0.4279969,0.5113459,0.0029376713,0.047797043,0.0022292475],"about_ca_topic_score_codex":0.000116831034,"about_ca_topic_score_gemma":0.00006991054,"teacher_disagreement_score":0.9423827,"about_ca_system_score_codex":0.00017743089,"about_ca_system_score_gemma":0.0000967863,"threshold_uncertainty_score":0.99978095},"labels":[],"label_agreement":null},{"id":"W4254299067","doi":"10.1109/jproc.2020.2974118","title":"Proceedings of the IEEE publication information","year":2020,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Library science","score_opus":0.012009916587081074,"score_gpt":0.19797477969419033,"score_spread":0.18596486310710925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254299067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90249896,0.000013889603,0.0009887358,0.05545456,0.00090011914,0.00061616674,0.000004857174,0.00014863042,0.039374053],"genre_scores_gemma":[0.9956915,0.0000029993503,0.001740127,0.0021460888,0.000105084255,0.000011756639,1.306908e-7,0.000005975381,0.00029635683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879694,0.0000016470153,0.0003778511,0.0001603222,0.0004954389,0.00016779218],"domain_scores_gemma":[0.9981918,0.000011521504,0.0007022242,0.00010487176,0.0009395653,0.000050049257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028699925,0.00011399546,0.00014222569,0.000049804486,0.000097590964,0.00023518641,0.0025040144,0.000059884813,0.0000041804597],"category_scores_gemma":[0.0002660953,0.00006817007,0.00012827672,0.00064281974,0.000073155585,0.0024925126,0.0003492579,0.00018260373,0.000013898311],"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":[0.000048878563,0.00009702285,0.0052928985,0.0008921928,0.00006888328,2.829074e-8,0.022704393,0.000029189336,0.3381121,0.30713746,0.31814682,0.007470156],"study_design_scores_gemma":[0.00029602833,0.00010678435,0.0030846463,0.00015482889,0.000019453417,0.000007678906,0.00025583702,0.020726757,0.95121115,0.0039388477,0.020024601,0.00017341261],"about_ca_topic_score_codex":0.000014676532,"about_ca_topic_score_gemma":1.5077363e-7,"teacher_disagreement_score":0.61309904,"about_ca_system_score_codex":0.000027773514,"about_ca_system_score_gemma":0.000034522047,"threshold_uncertainty_score":0.46531236},"labels":[],"label_agreement":null},{"id":"W4254329011","doi":"10.1109/emr.2018.2870237","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2018,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","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","funders":"","keywords":"Engineering management; Business; Management; Engineering; Accounting; Computer security; Computer science; Economics","score_opus":0.01265362023187347,"score_gpt":0.2456597278248083,"score_spread":0.23300610759293483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254329011","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015604259,0.014529189,0.9687905,0.00313838,0.0022021907,0.0012073211,0.0000021033002,0.0011302799,0.0074396557],"genre_scores_gemma":[0.35219565,0.06376206,0.57129776,0.0042121876,0.00077922764,0.00061005255,0.0000054190414,0.00014141029,0.006996249],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99842674,0.000010906198,0.00035288636,0.0005182655,0.00025261389,0.00043861402],"domain_scores_gemma":[0.99908817,0.000022059941,0.00009251734,0.0006625759,0.00004799324,0.000086701424],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004037792,0.00031347063,0.0003466826,0.00020679332,0.00008675505,0.0001448371,0.0009739118,0.0000658994,0.000011489872],"category_scores_gemma":[0.000007370528,0.0003005937,0.0001219761,0.0007021322,0.00004862901,0.00027915696,0.00039320128,0.00021252397,0.00007533906],"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":[0.000003954274,0.00017424076,0.000048127884,0.022830276,0.0014761203,0.00032501624,0.00050298765,0.00091591827,0.0008983973,0.66890717,0.11786382,0.18605399],"study_design_scores_gemma":[0.00040430162,0.00019907788,0.00020049041,0.006466022,0.00013653097,0.0000534959,0.00002660931,0.074658066,0.0013407515,0.00032721565,0.915409,0.00077841233],"about_ca_topic_score_codex":0.000001921907,"about_ca_topic_score_gemma":3.524025e-7,"teacher_disagreement_score":0.7975452,"about_ca_system_score_codex":0.000065107284,"about_ca_system_score_gemma":0.0000047339777,"threshold_uncertainty_score":0.9999446},"labels":[],"label_agreement":null},{"id":"W4254730599","doi":"10.1090/fim/025/03","title":"The corona problem","year":2009,"lang":"en","type":"book-chapter","venue":"American Mathematical Society eBooks","topic":"Internet of Things and AI","field":"Computer Science","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":"McMaster University","funders":"","keywords":"Corona (planetary geology); Physics; Astrobiology","score_opus":0.011030155880154146,"score_gpt":0.22783173277238297,"score_spread":0.21680157689222881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254730599","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":[0.0000030348513,0.000083427134,0.047507323,0.0026953153,0.00008015948,0.0003173851,0.0000023403898,0.00024879703,0.9490622],"genre_scores_gemma":[0.00048158198,0.000049707724,0.09253723,0.0037304119,0.00018211968,0.000019916839,0.0000014045627,0.00004863414,0.902949],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978856,0.000017921977,0.0004752706,0.0004988093,0.0006297205,0.00049267936],"domain_scores_gemma":[0.9980339,0.00033422234,0.00046076856,0.0009189821,0.00009367528,0.00015844313],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037406283,0.0004096057,0.0005161193,0.0000147094515,0.00033958588,0.00041466914,0.0018998649,0.00015156371,0.000042246822],"category_scores_gemma":[0.000015321506,0.00026389534,0.00071594125,0.000020638407,0.0008148583,0.000059748083,0.000492733,0.0006436955,0.0004155167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010661229,0.000008298521,3.8571198e-8,0.000016810309,0.00006787608,0.000004281615,0.0004935264,1.910608e-7,0.0000049989662,0.79801923,0.014262146,0.18712156],"study_design_scores_gemma":[0.000051568815,0.00013010981,5.830137e-7,0.00010702873,0.000020182677,0.000019413565,0.00002393111,0.0013716879,0.000014170643,0.5985434,0.39945203,0.00026588584],"about_ca_topic_score_codex":0.000008038968,"about_ca_topic_score_gemma":0.0000015013283,"teacher_disagreement_score":0.38518986,"about_ca_system_score_codex":0.00010804302,"about_ca_system_score_gemma":0.000093724375,"threshold_uncertainty_score":0.99998134},"labels":[],"label_agreement":null},{"id":"W4254872248","doi":"10.1109/tcyb.2018.2873956","title":"IEEE Transactions on Cybernetics","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Cybernetics; Computer science; Artificial intelligence","score_opus":0.017496397266088766,"score_gpt":0.2484594518436753,"score_spread":0.23096305457758654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254872248","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":[0.010553515,0.000018688766,0.972265,0.0011933268,0.0052004773,0.00028289846,0.000035584155,0.0004597831,0.009990722],"genre_scores_gemma":[0.96481127,0.000085222855,0.018070254,0.0019265276,0.00026439806,0.00003636782,8.123082e-7,0.00006320127,0.014741928],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99710774,0.00009816525,0.0005274686,0.00081491726,0.0007359971,0.0007157142],"domain_scores_gemma":[0.99792737,0.0001874771,0.00014427469,0.0011759874,0.00025686895,0.00030805112],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023229036,0.0004648457,0.00033556533,0.00033263996,0.0004987282,0.00033672142,0.0013402712,0.00028350658,0.00044142184],"category_scores_gemma":[0.0000041281446,0.0004603713,0.00032941185,0.0005725118,0.0002886542,0.00034979885,0.000002179399,0.0007789001,0.0019635789],"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":[0.00044750737,0.005840663,0.000008879456,0.0001134949,0.0008431391,0.00018442092,0.014451253,0.093823366,0.014955955,0.026440777,0.02370718,0.81918335],"study_design_scores_gemma":[0.0017499081,0.003712142,0.00007659698,0.0002566647,0.00016093774,0.00014277385,0.000104125946,0.23645288,0.70240414,0.0032464408,0.05018234,0.00151104],"about_ca_topic_score_codex":0.00013988344,"about_ca_topic_score_gemma":0.00020342435,"teacher_disagreement_score":0.9542578,"about_ca_system_score_codex":0.00016742361,"about_ca_system_score_gemma":0.00010086863,"threshold_uncertainty_score":0.9997848},"labels":[],"label_agreement":null},{"id":"W4255405226","doi":"10.1109/jproc.2019.2919218","title":"Proceedings of the IEEE publication information","year":2019,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Library science; Computer science; Information retrieval; Data science","score_opus":0.005798276749226643,"score_gpt":0.1910634913405749,"score_spread":0.18526521459134826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255405226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948535,0.0000061214414,0.00013071114,0.004995693,0.0010175683,0.00043688607,0.000001823872,0.000056941393,0.044819232],"genre_scores_gemma":[0.99612737,0.000002528411,0.001183959,0.00058526907,0.0000567864,0.000011571479,1.2967801e-7,0.000006036167,0.002026352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876493,0.0000015920849,0.0003675984,0.00015934648,0.00052081,0.00018574823],"domain_scores_gemma":[0.99798787,0.000014236151,0.00076041615,0.00016743699,0.0010406354,0.000029389128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044779707,0.00011532945,0.00014626214,0.00008636127,0.0000756999,0.00022998547,0.0024656623,0.000069423695,0.000007697852],"category_scores_gemma":[0.00011745505,0.00006743758,0.00013022637,0.00051933527,0.000059218713,0.0028936376,0.00031770696,0.00017151098,0.000036216483],"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":[0.000037511174,0.00012897479,0.02030507,0.00085150945,0.00006582798,1.16614105e-8,0.0096212,0.000027581418,0.37483266,0.456928,0.1311346,0.006067043],"study_design_scores_gemma":[0.00038610373,0.00010539726,0.01059049,0.00029744898,0.000017007007,0.000013265814,0.00023610546,0.012037875,0.95155066,0.0074059446,0.017153157,0.00020652472],"about_ca_topic_score_codex":0.000023965067,"about_ca_topic_score_gemma":2.385791e-7,"teacher_disagreement_score":0.57671803,"about_ca_system_score_codex":0.000041420193,"about_ca_system_score_gemma":0.00003503046,"threshold_uncertainty_score":0.45818552},"labels":[],"label_agreement":null},{"id":"W4255525410","doi":"10.1109/jproc.2019.2904816","title":"Proceedings of the IEEE publication information","year":2019,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; Library science; Information retrieval; World Wide Web","score_opus":0.005798276749226643,"score_gpt":0.1910634913405749,"score_spread":0.18526521459134826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255525410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948535,0.0000061214414,0.00013071114,0.004995693,0.0010175683,0.00043688607,0.000001823872,0.000056941393,0.044819232],"genre_scores_gemma":[0.99612737,0.000002528411,0.001183959,0.00058526907,0.0000567864,0.000011571479,1.2967801e-7,0.000006036167,0.002026352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876493,0.0000015920849,0.0003675984,0.00015934648,0.00052081,0.00018574823],"domain_scores_gemma":[0.99798787,0.000014236151,0.00076041615,0.00016743699,0.0010406354,0.000029389128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044779707,0.00011532945,0.00014626214,0.00008636127,0.0000756999,0.00022998547,0.0024656623,0.000069423695,0.000007697852],"category_scores_gemma":[0.00011745505,0.00006743758,0.00013022637,0.00051933527,0.000059218713,0.0028936376,0.00031770696,0.00017151098,0.000036216483],"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":[0.000037511174,0.00012897479,0.02030507,0.00085150945,0.00006582798,1.16614105e-8,0.0096212,0.000027581418,0.37483266,0.456928,0.1311346,0.006067043],"study_design_scores_gemma":[0.00038610373,0.00010539726,0.01059049,0.00029744898,0.000017007007,0.000013265814,0.00023610546,0.012037875,0.95155066,0.0074059446,0.017153157,0.00020652472],"about_ca_topic_score_codex":0.000023965067,"about_ca_topic_score_gemma":2.385791e-7,"teacher_disagreement_score":0.57671803,"about_ca_system_score_codex":0.000041420193,"about_ca_system_score_gemma":0.00003503046,"threshold_uncertainty_score":0.45818552},"labels":[],"label_agreement":null},{"id":"W4255961083","doi":"10.1109/tcyb.2018.2850158","title":"IEEE Transactions on Cybernetics","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Psychology; Artificial intelligence","score_opus":0.017496397266088766,"score_gpt":0.2484594518436753,"score_spread":0.23096305457758654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255961083","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":[0.010553515,0.000018688766,0.972265,0.0011933268,0.0052004773,0.00028289846,0.000035584155,0.0004597831,0.009990722],"genre_scores_gemma":[0.96481127,0.000085222855,0.018070254,0.0019265276,0.00026439806,0.00003636782,8.123082e-7,0.00006320127,0.014741928],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99710774,0.00009816525,0.0005274686,0.00081491726,0.0007359971,0.0007157142],"domain_scores_gemma":[0.99792737,0.0001874771,0.00014427469,0.0011759874,0.00025686895,0.00030805112],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023229036,0.0004648457,0.00033556533,0.00033263996,0.0004987282,0.00033672142,0.0013402712,0.00028350658,0.00044142184],"category_scores_gemma":[0.0000041281446,0.0004603713,0.00032941185,0.0005725118,0.0002886542,0.00034979885,0.000002179399,0.0007789001,0.0019635789],"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":[0.00044750737,0.005840663,0.000008879456,0.0001134949,0.0008431391,0.00018442092,0.014451253,0.093823366,0.014955955,0.026440777,0.02370718,0.81918335],"study_design_scores_gemma":[0.0017499081,0.003712142,0.00007659698,0.0002566647,0.00016093774,0.00014277385,0.000104125946,0.23645288,0.70240414,0.0032464408,0.05018234,0.00151104],"about_ca_topic_score_codex":0.00013988344,"about_ca_topic_score_gemma":0.00020342435,"teacher_disagreement_score":0.9542578,"about_ca_system_score_codex":0.00016742361,"about_ca_system_score_gemma":0.00010086863,"threshold_uncertainty_score":0.9997848},"labels":[],"label_agreement":null},{"id":"W4256198902","doi":"10.1109/tfuzz.2019.2959567","title":"IEEE Computational Intelligence Society","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Computational complexity theory; Computational intelligence; Theoretical computer science; Artificial intelligence; Algorithm","score_opus":0.032507331184523494,"score_gpt":0.24654326605762683,"score_spread":0.21403593487310335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256198902","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":[0.0008784619,0.000043052507,0.9922819,0.0024097105,0.0024621806,0.00018695211,0.000014165665,0.0003152216,0.0014083384],"genre_scores_gemma":[0.9882783,0.000009064947,0.009273686,0.0017365003,0.00016862173,0.000023383154,8.5125976e-7,0.000013370374,0.00049621135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856293,0.000054351072,0.0003158779,0.0004149119,0.00041364777,0.00023826967],"domain_scores_gemma":[0.9992961,0.00009660278,0.00008791187,0.00024463263,0.000107640764,0.00016708672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015267312,0.00016795265,0.00018969312,0.00004340609,0.00019736997,0.00027140116,0.0007268188,0.000079459074,0.000016593527],"category_scores_gemma":[0.0000020440993,0.00015931917,0.00021802082,0.00032193292,0.000041823143,0.00037544634,0.0000030720755,0.00028130165,0.00054577383],"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":[0.00001183452,0.00010613018,0.0000025823983,0.00008030153,0.00009073279,0.000011331845,0.003589434,0.96759826,0.0004946404,0.009866803,0.008402888,0.009745061],"study_design_scores_gemma":[0.00014754037,0.00017866198,0.000004659872,0.00005763369,0.000008930118,0.000026646234,0.00018306806,0.9901684,0.0046114074,0.0004635167,0.003915437,0.00023411133],"about_ca_topic_score_codex":0.000065389075,"about_ca_topic_score_gemma":0.0000017186023,"teacher_disagreement_score":0.9873999,"about_ca_system_score_codex":0.00006083248,"about_ca_system_score_gemma":0.0000594373,"threshold_uncertainty_score":0.70150006},"labels":[],"label_agreement":null},{"id":"W4256459171","doi":"10.1109/tfuzz.2019.2898018","title":"IEEE Computational Intelligence Society","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science","score_opus":0.015887483165955407,"score_gpt":0.23826303261510268,"score_spread":0.22237554944914728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256459171","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071027703,0.000036323774,0.9821345,0.00031626024,0.0062171943,0.00027276453,0.000009848742,0.0002273782,0.0036829342],"genre_scores_gemma":[0.98878646,0.0000075388048,0.005987816,0.0003852599,0.000081984894,0.000023572818,8.6639653e-7,0.000013633843,0.004712848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851996,0.00005235334,0.00030656284,0.00041394745,0.00044000678,0.00026715442],"domain_scores_gemma":[0.99915123,0.00012429195,0.00009546012,0.0004200054,0.00011962567,0.00008935956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025409952,0.00017011125,0.00019604336,0.000082887724,0.00014669832,0.0002655442,0.00071039627,0.000093496106,0.000034808018],"category_scores_gemma":[7.829439e-7,0.00015764567,0.0002230573,0.00025802874,0.000032269778,0.00044134207,0.000002779073,0.00026330102,0.001641629],"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":[0.000009003989,0.00015368327,0.000012845683,0.00008044411,0.00009063139,0.000004427636,0.0013658503,0.96996915,0.00058361667,0.016844317,0.0030027549,0.007883283],"study_design_scores_gemma":[0.0002236603,0.00019634343,0.000021847934,0.00013962192,0.000008571247,0.000056982433,0.0001913148,0.98932,0.0047074603,0.0011047114,0.0037087144,0.00032079124],"about_ca_topic_score_codex":0.000114961724,"about_ca_topic_score_gemma":0.000002992046,"teacher_disagreement_score":0.98168373,"about_ca_system_score_codex":0.00009827235,"about_ca_system_score_gemma":0.000060860046,"threshold_uncertainty_score":0.99913573},"labels":[],"label_agreement":null},{"id":"W4256492246","doi":"10.1109/jproc.2019.2915475","title":"Proceedings of the IEEE publication information","year":2019,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Internet of Things and AI","field":"Computer Science","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":"Canadian Standards Association","funders":"","keywords":"Computer science; World Wide Web; Library science","score_opus":0.005798276749226643,"score_gpt":0.1910634913405749,"score_spread":0.18526521459134826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256492246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948535,0.0000061214414,0.00013071114,0.004995693,0.0010175683,0.00043688607,0.000001823872,0.000056941393,0.044819232],"genre_scores_gemma":[0.99612737,0.000002528411,0.001183959,0.00058526907,0.0000567864,0.000011571479,1.2967801e-7,0.000006036167,0.002026352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876493,0.0000015920849,0.0003675984,0.00015934648,0.00052081,0.00018574823],"domain_scores_gemma":[0.99798787,0.000014236151,0.00076041615,0.00016743699,0.0010406354,0.000029389128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044779707,0.00011532945,0.00014626214,0.00008636127,0.0000756999,0.00022998547,0.0024656623,0.000069423695,0.000007697852],"category_scores_gemma":[0.00011745505,0.00006743758,0.00013022637,0.00051933527,0.000059218713,0.0028936376,0.00031770696,0.00017151098,0.000036216483],"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":[0.000037511174,0.00012897479,0.02030507,0.00085150945,0.00006582798,1.16614105e-8,0.0096212,0.000027581418,0.37483266,0.456928,0.1311346,0.006067043],"study_design_scores_gemma":[0.00038610373,0.00010539726,0.01059049,0.00029744898,0.000017007007,0.000013265814,0.00023610546,0.012037875,0.95155066,0.0074059446,0.017153157,0.00020652472],"about_ca_topic_score_codex":0.000023965067,"about_ca_topic_score_gemma":2.385791e-7,"teacher_disagreement_score":0.57671803,"about_ca_system_score_codex":0.000041420193,"about_ca_system_score_gemma":0.00003503046,"threshold_uncertainty_score":0.45818552},"labels":[],"label_agreement":null},{"id":"W4288967721","doi":"10.5539/nct.v7n1p61","title":"Reviewer Acknowledgements for Network and Communication Technologies Vol. 7, No. 1","year":2022,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Library science; Telecommunications; Computer science","score_opus":0.0169485484250699,"score_gpt":0.25371342077046294,"score_spread":0.23676487234539303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288967721","genre_codex":"review","genre_gemma":"methods","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":[0.008230717,0.7326145,0.16966683,0.04626959,0.010797225,0.005753292,0.000032305168,0.016901704,0.009733825],"genre_scores_gemma":[0.39503038,0.12037818,0.4756164,0.0014742302,0.00036694043,0.0032805048,0.00009860637,0.0000611013,0.0036936714],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986102,0.00014458355,0.0003574691,0.00036600782,0.00016067082,0.00036108174],"domain_scores_gemma":[0.99576586,0.00028402096,0.00030122205,0.0021172315,0.0015130163,0.000018669405],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010365654,0.00019652641,0.00028062242,0.00009212711,0.0015128418,0.00020954057,0.003206083,0.00014045594,0.0000139318],"category_scores_gemma":[0.0019648662,0.00018732161,0.000044374607,0.00047903974,0.00031868316,0.00033693505,0.0074331597,0.0005205531,0.000012715852],"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":[0.000010380287,0.000045884164,0.00060528744,0.00003889893,0.000036559384,1.574005e-7,0.00013530173,0.00015915776,0.000006820075,0.07255266,0.5969934,0.3294155],"study_design_scores_gemma":[0.0002595231,0.00021478537,0.00014502427,0.00012146906,0.000015111012,0.0000018158495,0.00048290496,0.01647544,0.000055704448,0.1451812,0.8368099,0.00023715054],"about_ca_topic_score_codex":0.0000070007886,"about_ca_topic_score_gemma":0.000013080259,"teacher_disagreement_score":0.6122363,"about_ca_system_score_codex":0.000055780656,"about_ca_system_score_gemma":0.00001847446,"threshold_uncertainty_score":0.99978703},"labels":[],"label_agreement":null},{"id":"W4293007979","doi":"10.11159/newtech22","title":"Proceedings of the 8th World Congress on New Technologies","year":2022,"lang":"en","type":"paratext","venue":"Proceedings of the World Congress on New Technologies","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Navy; Royal Society of Chemistry; Royal Society","keywords":"Computer science","score_opus":0.01739137662895677,"score_gpt":0.2508334533630909,"score_spread":0.2334420767341341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293007979","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":[0.029172191,0.0067628548,0.000027293332,0.24285117,0.046756033,0.008108879,0.00024692196,0.010609324,0.6554653],"genre_scores_gemma":[0.15157825,0.00071202824,0.0030415296,0.0007057294,0.00022327717,0.00028821547,0.0000029244206,0.00016182433,0.8432862],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9934596,0.0000144194555,0.0013782496,0.0018499994,0.002074786,0.0012229806],"domain_scores_gemma":[0.99361604,0.00028455118,0.0038189252,0.0015775752,0.000610865,0.000092068534],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","open_science"],"category_scores_codex":[0.0005714664,0.0013367366,0.0016842326,0.0021945478,0.00062320055,0.00079509383,0.024197135,0.00075768546,0.00018082955],"category_scores_gemma":[0.0010425617,0.0008440831,0.00086234906,0.004909128,0.0015306908,0.0007604878,0.012181268,0.003962828,0.000113471826],"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":[0.00010333885,0.00013478547,0.00023329571,0.00032846417,0.00020141156,0.0000016693597,0.0001169852,0.000022181704,0.0018873333,0.18115544,0.795502,0.020313088],"study_design_scores_gemma":[0.0005849326,0.00040524162,0.000036355483,0.0033606123,0.00007945378,0.000017647153,0.0007775577,0.000114467686,0.4040072,0.020940159,0.5688763,0.0008000374],"about_ca_topic_score_codex":0.00013219635,"about_ca_topic_score_gemma":0.000053280313,"teacher_disagreement_score":0.40211985,"about_ca_system_score_codex":0.00043654197,"about_ca_system_score_gemma":0.0003987776,"threshold_uncertainty_score":0.99993837},"labels":[],"label_agreement":null},{"id":"W4298306767","doi":"10.1007/978-981-13-1648-7","title":"Computational Intelligence and Intelligent Systems","year":2018,"lang":"en","type":"book","venue":"Communications in computer and information science","topic":"Internet of Things and AI","field":"Computer Science","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":"University of Calgary","funders":"","keywords":"Computer science; Artificial neural network; Cloud computing; Artificial intelligence; Computational intelligence; Architecture; Transfer of learning; Evolutionary computation; Machine learning; Data science; Geography; Operating system","score_opus":0.040669191005865385,"score_gpt":0.3001382617401092,"score_spread":0.25946907073424386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298306767","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002802493,0.0007115334,0.91655576,0.0006361743,0.0006543657,0.00031299415,0.0000075238627,0.00008049271,0.08101311],"genre_scores_gemma":[0.14363137,0.0074811536,0.82776845,0.0049339267,0.00037273407,0.00011793705,0.00018690986,0.00003581354,0.015471703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998083,0.000054580876,0.0007490729,0.0003491457,0.00050660747,0.00025759664],"domain_scores_gemma":[0.9972783,0.0002858041,0.00035028908,0.0013656736,0.0005905949,0.00012939345],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0014579075,0.0002260277,0.00025468122,0.0009241731,0.0004384168,0.0017153992,0.0037579366,0.00011981281,0.000003795653],"category_scores_gemma":[0.000056183155,0.00021868646,0.00003198209,0.0005078827,0.0013637365,0.006041562,0.0040854537,0.00038881396,0.000088666144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012250763,0.000016243577,0.000017053037,0.00005294018,0.0000060433777,4.106211e-7,0.0028586176,0.0024344565,1.5345044e-7,0.87178737,0.003102174,0.11972333],"study_design_scores_gemma":[0.00005889643,0.00006486714,0.00013121529,0.00027044996,0.0000024157112,0.000052398074,0.000027741306,0.82878363,0.0000030912202,0.018106919,0.15227376,0.00022462386],"about_ca_topic_score_codex":0.00002111858,"about_ca_topic_score_gemma":0.000002953259,"teacher_disagreement_score":0.85368043,"about_ca_system_score_codex":0.00020616555,"about_ca_system_score_gemma":0.00045634652,"threshold_uncertainty_score":0.9993209},"labels":[],"label_agreement":null},{"id":"W4310969386","doi":"10.1109/jsyst.2022.3203618","title":"IEEE Systems Journal Publication Information","year":2022,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Polytechnique Montréal; University of Manitoba; Syracuse University","keywords":"Computer science; Information retrieval; World Wide Web; Data science","score_opus":0.012925354253287249,"score_gpt":0.2203654215863192,"score_spread":0.20744006733303194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310969386","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027213642,0.00081736076,0.8924506,0.0030129955,0.068108976,0.0004150268,0.000013376384,0.00018398384,0.0077840746],"genre_scores_gemma":[0.9952041,0.000020112544,0.0004604777,0.00041433456,0.0018349657,0.00002892319,0.0000024672563,0.000011708985,0.002022915],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966926,0.00040426856,0.0010240223,0.00015453245,0.0013090639,0.00041550433],"domain_scores_gemma":[0.9972763,0.000039007497,0.0013432174,0.00035215687,0.0007401246,0.0002491672],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003284587,0.00016760784,0.00024324402,0.0005159935,0.0012290381,0.004461269,0.0017916017,0.000060926224,0.000041571442],"category_scores_gemma":[0.000054032476,0.00014596441,0.00015568695,0.00038282026,0.000016416914,0.004626586,0.00012949627,0.0010152793,0.00016466943],"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":[0.000024101031,0.000099356315,0.00026241975,0.00009786988,0.00015592921,0.0001226606,0.004797144,0.27320057,0.001095881,0.016174797,0.69662696,0.0073423414],"study_design_scores_gemma":[0.00085729506,0.0003514383,0.00012911954,0.00014197601,0.0000148607005,0.042574216,0.0006620934,0.32268143,0.00012622004,0.00034119593,0.63173753,0.00038265702],"about_ca_topic_score_codex":0.00007862299,"about_ca_topic_score_gemma":4.2489785e-7,"teacher_disagreement_score":0.96799046,"about_ca_system_score_codex":0.0005598726,"about_ca_system_score_gemma":0.00028094146,"threshold_uncertainty_score":0.9965722},"labels":[],"label_agreement":null},{"id":"W4315646484","doi":"10.18280/isi.270620","title":"Implementation of Blockchain with Machine Learning Intrusion Detection System for Defending IoT Botnet and Cloud Networks","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Internet of Things and AI","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Botnet; Cloud computing; Internet of Things; Computer security; Computer science; Intrusion detection system; Intrusion; World Wide Web; The Internet; Operating system; Geology","score_opus":0.006899223949359176,"score_gpt":0.2139998256865275,"score_spread":0.20710060173716832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315646484","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.389602,0.000048650185,0.6095378,0.000016984506,0.00034287464,0.00027812485,0.000005904139,0.00008674508,0.000080933845],"genre_scores_gemma":[0.99358463,0.0000026101736,0.006180307,0.000035959074,0.000058932477,0.00009123396,0.000028718941,0.000007586539,0.000010037882],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899966,0.00007276665,0.00039941314,0.00012162771,0.00021860322,0.00018793091],"domain_scores_gemma":[0.9991971,0.00005219395,0.0004986263,0.00011125541,0.00010701952,0.000033793636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007223604,0.000111263056,0.00014639825,0.00020120015,0.00057821063,0.00015689115,0.00018846345,0.00003220292,0.00000508744],"category_scores_gemma":[0.00001876742,0.00010426282,0.00003497689,0.00025534374,0.000024255398,0.00058420683,0.0002054125,0.00013562744,4.454668e-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":[0.0003495953,0.000027688273,0.006950199,0.0013002114,0.00012367545,0.000003001892,0.03246576,0.27921522,0.0021874045,0.03721177,0.00011551401,0.64004993],"study_design_scores_gemma":[0.0006728095,0.0007209148,0.00047045609,0.0000820872,0.000014687621,0.000108127075,0.0047451262,0.98697096,0.0047054533,0.0001878898,0.0011709391,0.00015055249],"about_ca_topic_score_codex":0.00028249808,"about_ca_topic_score_gemma":0.00003664938,"teacher_disagreement_score":0.70775574,"about_ca_system_score_codex":0.00024734842,"about_ca_system_score_gemma":0.000024813853,"threshold_uncertainty_score":0.44471872},"labels":[],"label_agreement":null},{"id":"W4360994942","doi":"10.1109/icct56969.2023.10075825","title":"About ICCT '23","year":2023,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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":0.01422968712707554,"score_gpt":0.2493873254921353,"score_spread":0.23515763836505976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360994942","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":[0.0368016,0.000031507403,0.22158429,0.006990543,0.0015941219,0.00005727535,3.5045687e-7,0.0011260433,0.73181427],"genre_scores_gemma":[0.530668,0.000011413924,0.01299321,0.0037472825,0.0001115727,0.0000039603146,0.0000015131042,0.0000056833674,0.4524573],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99959713,0.0000048541747,0.000053547625,0.00011871512,0.00009261046,0.00013315854],"domain_scores_gemma":[0.9997387,0.0000139383465,0.000010803883,0.00018168407,0.000014103932,0.00004078851],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007743707,0.000034898603,0.000036918667,0.00003991596,0.00003156913,0.00010863975,0.0004917917,0.0000144998685,0.00013279873],"category_scores_gemma":[0.000010281252,0.000026978645,0.000029210378,0.00017941586,0.000006302349,0.00016433017,0.00021266052,0.000033579978,0.016970467],"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":[4.7164144e-7,0.0000066159682,0.00008542889,0.000003275834,0.0000043359782,0.000015628366,0.00044151655,0.000019431629,0.00037294475,0.44222048,0.5385961,0.018233795],"study_design_scores_gemma":[0.0001623531,0.00007146397,0.001750387,0.000019874507,7.3864567e-7,0.000010013045,0.000045428264,0.16174237,0.006695519,0.011159456,0.8181371,0.00020530396],"about_ca_topic_score_codex":0.000018449475,"about_ca_topic_score_gemma":0.0000011730277,"teacher_disagreement_score":0.49386644,"about_ca_system_score_codex":0.0000047135313,"about_ca_system_score_gemma":0.000009874573,"threshold_uncertainty_score":0.9837949},"labels":[],"label_agreement":null},{"id":"W4367726654","doi":"10.1007/978-981-16-0730-1","title":"Intelligent Systems, Technologies and Applications","year":2021,"lang":"en","type":"book","venue":"Advances in intelligent systems and computing","topic":"Internet of Things and AI","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science","score_opus":0.01336331632398414,"score_gpt":0.26204377780557936,"score_spread":0.24868046148159523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367726654","genre_codex":"methods","genre_gemma":"other","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":[0.00003597958,0.30998805,0.6534281,0.00007337248,0.0017864713,0.0008052043,0.0000068603445,0.000332166,0.033543825],"genre_scores_gemma":[0.31301776,0.2241249,0.029428653,0.00050200184,0.0036957343,0.0010908137,0.00016832497,0.0003917013,0.42758015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997034,0.000072865085,0.0009948016,0.0010843145,0.00035303732,0.00046098494],"domain_scores_gemma":[0.9981241,0.00033872356,0.0005688376,0.00071364775,0.00017232176,0.00008234554],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052866596,0.0004790156,0.00079966715,0.00035608438,0.00020053101,0.0007719148,0.0010342218,0.00034215106,0.0000014442406],"category_scores_gemma":[0.000039017876,0.00044733638,0.000086406704,0.00022770793,0.00015940281,0.00035737903,0.0013617316,0.0006491234,0.000015071318],"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":[0.0000018199138,0.00003174131,0.00009828649,0.0013932072,0.00005061615,0.000052028587,0.0004197388,0.0031140978,0.0000033451338,0.7100481,0.0006472524,0.28413978],"study_design_scores_gemma":[0.00008527408,0.000076434,0.0000029025223,0.004521676,0.000016746193,0.00027329143,0.0017171768,0.078427956,0.000067561785,0.007928435,0.9062353,0.0006472579],"about_ca_topic_score_codex":0.00008081722,"about_ca_topic_score_gemma":0.000019752208,"teacher_disagreement_score":0.90558803,"about_ca_system_score_codex":0.0002221807,"about_ca_system_score_gemma":0.00010419213,"threshold_uncertainty_score":0.9997978},"labels":[],"label_agreement":null},{"id":"W4377231626","doi":"10.1109/comst.2023.3270753","title":"Editorial: Second Quarter 2023 IEEE Communications Surveys and Tutorials","year":2023,"lang":"en","type":"editorial","venue":"IEEE Communications Surveys & Tutorials","topic":"Internet of Things and AI","field":"Computer Science","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; Telecommunications; Virtualization; The Internet; Wireless; Telecommunications network; Computer network; Quarter (Canadian coin); Wireless network; Multimedia; World Wide Web; Computer security; Cloud computing","score_opus":0.04246770092008491,"score_gpt":0.32190271606727805,"score_spread":0.27943501514719316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377231626","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":[0.000030899533,0.0013725797,0.010354684,0.0015945131,0.9789555,0.0012320094,0.0026066748,0.0012193968,0.0026337223],"genre_scores_gemma":[0.0010383793,0.005379111,0.005224034,0.000066113746,0.9750024,0.0007474104,0.002142246,0.000298017,0.010102303],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.96433026,0.025979856,0.0032888874,0.002102988,0.0027197788,0.0015782046],"domain_scores_gemma":[0.93564564,0.03749223,0.0023385473,0.020410748,0.0034942722,0.0006185812],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.051808324,0.0014659266,0.002487921,0.00088847626,0.0018985828,0.0031746503,0.02356126,0.002872131,0.00007495171],"category_scores_gemma":[0.008291028,0.0015676126,0.0006531179,0.0016786484,0.0012418247,0.0018933773,0.005878954,0.00380994,0.0015008647],"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":[0.000007554759,0.0002621066,0.000011236012,0.00010771228,0.00040153757,0.0000042203988,0.00088344584,0.0000052287237,0.00057934015,0.00175276,0.9942403,0.0017445717],"study_design_scores_gemma":[0.0010866037,0.00019861598,0.00009492966,0.00036851663,0.00014729051,0.0000033108963,0.00005716852,0.00041337166,0.00015416517,0.0026746965,0.99322176,0.0015795956],"about_ca_topic_score_codex":0.0055525745,"about_ca_topic_score_gemma":0.006997026,"teacher_disagreement_score":0.043517295,"about_ca_system_score_codex":0.0006207588,"about_ca_system_score_gemma":0.0017991894,"threshold_uncertainty_score":0.999809},"labels":[],"label_agreement":null},{"id":"W4379536322","doi":"10.5539/nct.v8n1p53","title":"Reviewer Acknowledgements for Network and Communication Technologies Vol. 8, No. 1","year":2023,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Telecommunications","score_opus":0.022000714885350055,"score_gpt":0.2702700026612385,"score_spread":0.24826928777588847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379536322","genre_codex":"review","genre_gemma":"methods","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":[0.018055547,0.5786743,0.22543381,0.08010759,0.015949698,0.008276326,0.00003016876,0.059291504,0.014181027],"genre_scores_gemma":[0.22637889,0.35778037,0.40711337,0.00088746514,0.0005560121,0.0017502696,0.00012095702,0.00007169068,0.0053409697],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998649,0.000082593375,0.00035809758,0.00036406307,0.00012816199,0.0004180543],"domain_scores_gemma":[0.99520266,0.00037570903,0.00024232495,0.0021129108,0.002044934,0.0000214334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009766822,0.00020747715,0.00029109002,0.00012163042,0.0007601832,0.0002667902,0.0026168711,0.00025670874,0.0000037096083],"category_scores_gemma":[0.003669176,0.00018462735,0.000043489603,0.00074679253,0.00037633558,0.0004067147,0.0041172225,0.0003487293,0.00007986687],"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":[0.000004733614,0.000016527043,0.0005718847,0.000050515933,0.000029043733,1.4103672e-7,0.00008868473,0.00004908565,0.0000071337445,0.045154244,0.62987864,0.32414934],"study_design_scores_gemma":[0.00026696757,0.00013708087,0.0005301746,0.0004201011,0.000016236325,8.201335e-7,0.00032973042,0.029000694,0.00012384621,0.21037927,0.7585191,0.0002759749],"about_ca_topic_score_codex":0.0000051668108,"about_ca_topic_score_gemma":0.000019664249,"teacher_disagreement_score":0.32387337,"about_ca_system_score_codex":0.000027647393,"about_ca_system_score_gemma":0.000014129604,"threshold_uncertainty_score":0.7528885},"labels":[],"label_agreement":null},{"id":"W4379744163","doi":"10.1109/cictn57981.2023.10141376","title":"The ways in which Artificial Intelligence improves several facets of Cyber Security-A survey","year":2023,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":9,"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":"Computer science; Computer security; Artificial intelligence","score_opus":0.039898374537132915,"score_gpt":0.2771019786853345,"score_spread":0.23720360414820157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379744163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8807387,0.000042570126,0.105794854,0.00427424,0.0015880446,0.00025851536,0.000007126937,0.00022111376,0.0070748404],"genre_scores_gemma":[0.9988331,0.000014587776,0.0004923561,0.00012324499,0.00002518137,0.0000043179393,0.0000017172596,0.0000045576608,0.0005009004],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988791,0.00007651764,0.00029263302,0.0002345511,0.0002298314,0.00028738542],"domain_scores_gemma":[0.99917173,0.0002851936,0.00006310381,0.00032716454,0.000119310374,0.000033479453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013781576,0.00008941962,0.000114074974,0.00007411903,0.00007303704,0.00016001213,0.0010094738,0.00003910578,0.000012329261],"category_scores_gemma":[0.00019547729,0.000059225193,0.000039131308,0.00071266165,0.000041992487,0.00023403193,0.00046221467,0.00014761566,0.000111827474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044689245,0.00014997725,0.00452254,0.000029276414,0.000029201243,0.000017473758,0.011156502,0.0009171699,0.0037589483,0.8969642,0.008462789,0.073947236],"study_design_scores_gemma":[0.00006326141,0.00008275016,0.042329878,0.000026257805,0.000001207488,0.0000035989672,0.00030518862,0.8060556,0.03262383,0.11668306,0.0015714063,0.00025394745],"about_ca_topic_score_codex":0.0015909468,"about_ca_topic_score_gemma":0.0051077534,"teacher_disagreement_score":0.80513847,"about_ca_system_score_codex":0.000015972044,"about_ca_system_score_gemma":0.00004376989,"threshold_uncertainty_score":0.2850246},"labels":[],"label_agreement":null},{"id":"W4381856094","doi":"10.1007/978-981-99-1312-1","title":"Advanced IoT Sensors, Networks and Systems","year":2023,"lang":"en","type":"book","venue":"Lecture notes in electrical engineering","topic":"Internet of Things and AI","field":"Computer Science","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":"Division of Mathematical Sciences; Ames Research Center; College of Science and Engineering, University of Minnesota; Universidad de Las Palmas de Gran Canaria; Queen's University; Aalborg Universitet; University of Twente; University of Salford Manchester; Auckland University of Technology, New Zealand; Manchester Metropolitan University; UK Research and Innovation; Chuo University; Central Michigan University; Massachusetts Institute of Technology; East China Institute of Technology; Queen's University Belfast; National Research University Higher School of Economics; National Aeronautics and Space Administration","keywords":"Internet of Things; Computer science; Cloud computing; Volume (thermodynamics); Wireless sensor network; Wireless; Computer network; Embedded system; Telecommunications; Operating system; Physics","score_opus":0.004562747696736495,"score_gpt":0.19378757604940156,"score_spread":0.18922482835266505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381856094","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":[0.00009642816,0.006302622,0.9897361,0.00016286434,0.0014548791,0.00026315625,0.0000014830078,0.0005900353,0.0013924491],"genre_scores_gemma":[0.64671767,0.0038957936,0.07212602,0.002027498,0.0106750475,0.00034797427,0.00012871267,0.0014732822,0.262608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981774,0.00002007124,0.0003299054,0.00058871345,0.0002693853,0.0006145133],"domain_scores_gemma":[0.9987538,0.0006670299,0.00008897958,0.00034782055,0.000036451467,0.00010594329],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018298498,0.00038937095,0.00050700794,0.00035959666,0.00003544888,0.00019612229,0.0005857219,0.0005107793,0.0000011630012],"category_scores_gemma":[0.00028242244,0.00037102037,0.000086588705,0.00045286678,0.000013391445,0.00007174104,0.00021563823,0.0014254535,0.000010594563],"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":[0.000003206646,0.000004730757,0.0000018229327,0.00008281294,0.000026459205,0.00017355567,0.000044678945,0.9668125,0.00007482629,0.009501556,0.0003844664,0.022889383],"study_design_scores_gemma":[0.00014374239,0.00007402996,0.000015390384,0.0003798167,0.0000073516685,0.000051682826,7.527457e-8,0.9869712,0.00004767512,0.0012939757,0.010603817,0.00041124932],"about_ca_topic_score_codex":0.000012442463,"about_ca_topic_score_gemma":0.0000032882208,"teacher_disagreement_score":0.91761005,"about_ca_system_score_codex":0.000271538,"about_ca_system_score_gemma":0.000057767305,"threshold_uncertainty_score":0.9998742},"labels":[],"label_agreement":null},{"id":"W4385192883","doi":"10.1109/icacite57410.2023.10182625","title":"Retracted: An Integration Of Wireless Communications And Artificial Intelligence For Autonomous Vehicles","year":2023,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Handset; Computer science; Wireless; Latency (audio); Base station; Throughput; Enhanced Data Rates for GSM Evolution; Wireless network; Intelligent transportation system; Low latency (capital markets); Computer network; Telecommunications; Engineering; Transport engineering","score_opus":0.07998840225832177,"score_gpt":0.3295243795756373,"score_spread":0.24953597731731553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385192883","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25048563,0.000014005055,0.7453788,0.0030244077,0.00013495564,0.00014171063,0.00000428638,0.000179032,0.00063718116],"genre_scores_gemma":[0.9457313,0.000021420119,0.053952783,0.00007788072,0.00001869585,0.000010850941,0.000008811848,0.0000034267423,0.00017483733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949235,0.000020975138,0.00018910774,0.00013582595,0.000071101575,0.0000906268],"domain_scores_gemma":[0.9992929,0.00011951045,0.00006228473,0.00039910147,0.00009727576,0.000028940009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003204133,0.00004920096,0.00007534748,0.00007650719,0.000080430524,0.000098079625,0.0006315129,0.000043810436,0.0000024376234],"category_scores_gemma":[0.000029376308,0.000042878717,0.000023192171,0.00017640625,0.00005891576,0.00035433727,0.0001781311,0.00007159429,0.000005903098],"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":[0.000002512044,0.00002755359,0.000012424382,0.000005161907,0.000002794983,1.4725892e-7,0.001113524,0.000008710249,0.013806229,0.62349623,0.000106368956,0.36141837],"study_design_scores_gemma":[0.000017179469,0.0001344782,0.00047786272,0.00001557022,0.0000021317237,0.0000013667877,0.00032649597,0.9024043,0.04741015,0.048714798,0.0004322501,0.00006340219],"about_ca_topic_score_codex":0.00010696225,"about_ca_topic_score_gemma":0.00011968667,"teacher_disagreement_score":0.9023956,"about_ca_system_score_codex":0.000008508556,"about_ca_system_score_gemma":0.000019616895,"threshold_uncertainty_score":0.17485434},"labels":[],"label_agreement":null},{"id":"W4385269574","doi":"10.1109/wimob58348.2023.10187723","title":"WiMob 2023: 2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) - Committees and Welcome","year":2023,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"National Technical University of Athens; Binghamton University; Université de Tunis; Universidade de Vigo; Università di Bologna; Université Gustave Eiffel; Universitetet i Agder; Università degli Studi di Parma; National and Kapodistrian University of Athens; Brock University; International Institute of Information Technology, Hyderabad; Universidad Simón Bolívar; Centre National de la Recherche Scientifique; Sapienza Università di Roma; Università degli Studi di Padova; University of the West of England; Università degli Studi di Milano; Università Degli Studi di Modena e Reggio Emila; Université de Tunis El Manar; University of Patras; Universidade de Aveiro","keywords":"Wireless; Computer science; Telecommunications","score_opus":0.03898635572820737,"score_gpt":0.29800384203203634,"score_spread":0.259017486303829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385269574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86138946,0.0011747342,0.027164621,0.026986638,0.0030540572,0.0008015027,0.000033329656,0.000976319,0.07841932],"genre_scores_gemma":[0.99212015,0.0010922102,0.0032713367,0.0006458107,0.00011428509,0.000012761538,0.000014633429,0.0000097295515,0.0027190652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888307,0.00006189118,0.00022850491,0.00037392095,0.00020417826,0.0002484096],"domain_scores_gemma":[0.99898183,0.00025803698,0.000100034136,0.00048846495,0.00007077346,0.00010087797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037841598,0.0001607779,0.0001871822,0.00013382538,0.0003157908,0.0005912545,0.0009963186,0.000059433743,0.00002707051],"category_scores_gemma":[0.00000992417,0.00014661686,0.00002579217,0.00020978089,0.00020551692,0.0002737265,0.0020772498,0.00024100867,0.000034656412],"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":[0.000017479653,0.00014495646,0.015801102,0.000057681063,0.00014011702,0.0000285461,0.004417851,0.00016961957,0.00045354798,0.7670384,0.038061537,0.17366914],"study_design_scores_gemma":[0.00044803525,0.00015027486,0.012011868,0.0002094781,0.0000064095448,0.00003154363,0.00039055976,0.94085747,0.000054876196,0.0040954407,0.04143786,0.0003061996],"about_ca_topic_score_codex":0.00025864635,"about_ca_topic_score_gemma":0.00009139795,"teacher_disagreement_score":0.94068784,"about_ca_system_score_codex":0.000016655622,"about_ca_system_score_gemma":0.000015636208,"threshold_uncertainty_score":0.5978862},"labels":[],"label_agreement":null},{"id":"W4385269748","doi":"10.1109/wimob58348.2023.10187784","title":"WiMob 2023: 2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) - Committees and Welcome","year":2023,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"National Technical University of Athens; Binghamton University; Université de Tunis; Universidade de Vigo; Università di Bologna; Université Gustave Eiffel; Universitetet i Agder; Università degli Studi di Parma; National and Kapodistrian University of Athens; Brock University; International Institute of Information Technology, Hyderabad; Universidad Simón Bolívar; Centre National de la Recherche Scientifique; Sapienza Università di Roma; Università degli Studi di Padova; University of the West of England; Università degli Studi di Milano; Università Degli Studi di Modena e Reggio Emila; Université de Tunis El Manar; University of Patras; Universidade de Aveiro","keywords":"Wireless; Computer science; Telecommunications","score_opus":0.03898635572820737,"score_gpt":0.29800384203203634,"score_spread":0.259017486303829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385269748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86138946,0.0011747342,0.027164621,0.026986638,0.0030540572,0.0008015027,0.000033329656,0.000976319,0.07841932],"genre_scores_gemma":[0.99212015,0.0010922102,0.0032713367,0.0006458107,0.00011428509,0.000012761538,0.000014633429,0.0000097295515,0.0027190652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888307,0.00006189118,0.00022850491,0.00037392095,0.00020417826,0.0002484096],"domain_scores_gemma":[0.99898183,0.00025803698,0.000100034136,0.00048846495,0.00007077346,0.00010087797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037841598,0.0001607779,0.0001871822,0.00013382538,0.0003157908,0.0005912545,0.0009963186,0.000059433743,0.00002707051],"category_scores_gemma":[0.00000992417,0.00014661686,0.00002579217,0.00020978089,0.00020551692,0.0002737265,0.0020772498,0.00024100867,0.000034656412],"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":[0.000017479653,0.00014495646,0.015801102,0.000057681063,0.00014011702,0.0000285461,0.004417851,0.00016961957,0.00045354798,0.7670384,0.038061537,0.17366914],"study_design_scores_gemma":[0.00044803525,0.00015027486,0.012011868,0.0002094781,0.0000064095448,0.00003154363,0.00039055976,0.94085747,0.000054876196,0.0040954407,0.04143786,0.0003061996],"about_ca_topic_score_codex":0.00025864635,"about_ca_topic_score_gemma":0.00009139795,"teacher_disagreement_score":0.94068784,"about_ca_system_score_codex":0.000016655622,"about_ca_system_score_gemma":0.000015636208,"threshold_uncertainty_score":0.5978862},"labels":[],"label_agreement":null},{"id":"W4385270054","doi":"10.1109/wimob58348.2023.10187763","title":"WiMob 2023: 2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) - Committees and Welcome","year":2023,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"National Technical University of Athens; Binghamton University; Université de Tunis; Universidade de Vigo; Università di Bologna; Université Gustave Eiffel; Universitetet i Agder; Università degli Studi di Parma; National and Kapodistrian University of Athens; Brock University; International Institute of Information Technology, Hyderabad; Universidad Simón Bolívar; Centre National de la Recherche Scientifique; Sapienza Università di Roma; Università degli Studi di Padova; University of the West of England; Università degli Studi di Milano; Università Degli Studi di Modena e Reggio Emila; Université de Tunis El Manar; University of Patras; Universidade de Aveiro","keywords":"Wireless; Telecommunications; Computer science","score_opus":0.03898635572820737,"score_gpt":0.29800384203203634,"score_spread":0.259017486303829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385270054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86138946,0.0011747342,0.027164621,0.026986638,0.0030540572,0.0008015027,0.000033329656,0.000976319,0.07841932],"genre_scores_gemma":[0.99212015,0.0010922102,0.0032713367,0.0006458107,0.00011428509,0.000012761538,0.000014633429,0.0000097295515,0.0027190652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888307,0.00006189118,0.00022850491,0.00037392095,0.00020417826,0.0002484096],"domain_scores_gemma":[0.99898183,0.00025803698,0.000100034136,0.00048846495,0.00007077346,0.00010087797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037841598,0.0001607779,0.0001871822,0.00013382538,0.0003157908,0.0005912545,0.0009963186,0.000059433743,0.00002707051],"category_scores_gemma":[0.00000992417,0.00014661686,0.00002579217,0.00020978089,0.00020551692,0.0002737265,0.0020772498,0.00024100867,0.000034656412],"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":[0.000017479653,0.00014495646,0.015801102,0.000057681063,0.00014011702,0.0000285461,0.004417851,0.00016961957,0.00045354798,0.7670384,0.038061537,0.17366914],"study_design_scores_gemma":[0.00044803525,0.00015027486,0.012011868,0.0002094781,0.0000064095448,0.00003154363,0.00039055976,0.94085747,0.000054876196,0.0040954407,0.04143786,0.0003061996],"about_ca_topic_score_codex":0.00025864635,"about_ca_topic_score_gemma":0.00009139795,"teacher_disagreement_score":0.94068784,"about_ca_system_score_codex":0.000016655622,"about_ca_system_score_gemma":0.000015636208,"threshold_uncertainty_score":0.5978862},"labels":[],"label_agreement":null},{"id":"W4386127638","doi":"10.11159/newtech23","title":"Proceedings of the 9th World Congress on New Technologies","year":2023,"lang":"en","type":"paratext","venue":"Proceedings of the World Congress on New Technologies","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hokkaido University; Royal Society of Chemistry; Government of the United Kingdom","keywords":"Computer science","score_opus":0.021422621648257006,"score_gpt":0.26029914238840735,"score_spread":0.23887652074015034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386127638","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":[0.020310715,0.0047266027,0.00004524829,0.29181314,0.08641192,0.008754533,0.00023427815,0.019325973,0.5683776],"genre_scores_gemma":[0.077373736,0.0007264352,0.0027292457,0.0003951014,0.00024574442,0.00018080356,0.0000020950267,0.00017214176,0.9181747],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99361724,0.000010699793,0.001400656,0.0018352873,0.0018395861,0.0012965444],"domain_scores_gemma":[0.99376124,0.000343882,0.0034941728,0.001529821,0.00077324366,0.000097611875],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","open_science"],"category_scores_codex":[0.0005582635,0.0013620026,0.0017209189,0.002370058,0.0004517338,0.0009049789,0.021696264,0.0010117395,0.000041439587],"category_scores_gemma":[0.0014428002,0.00083292415,0.0008428844,0.005673101,0.0016715743,0.00074774364,0.009149794,0.0032531542,0.00035744093],"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":[0.00007597669,0.000089321795,0.0001594471,0.0004021598,0.00020694273,0.0000019213744,0.00009867458,0.000015020658,0.0019173728,0.14827876,0.83011687,0.018637527],"study_design_scores_gemma":[0.0006091881,0.0003383285,0.00004478513,0.007840181,0.00008673999,0.000015553058,0.0006830816,0.00016638849,0.51552737,0.0315875,0.4422172,0.0008837035],"about_ca_topic_score_codex":0.00013506711,"about_ca_topic_score_gemma":0.00009423698,"teacher_disagreement_score":0.51361,"about_ca_system_score_codex":0.00030599453,"about_ca_system_score_gemma":0.0003616482,"threshold_uncertainty_score":0.9999131},"labels":[],"label_agreement":null},{"id":"W4390271198","doi":"10.18280/i2m.220602","title":"IoT-Based Smart Health Monitoring System: Investigating the Role of Temperature, Blood Pressure and Sleep Data in Chronic Disease Management","year":2023,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Internet of Things and AI","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sleep (system call); Blood pressure; Internet of Things; Disease; Chronic disease; Medicine; Health management system; Computer science; Intensive care medicine; Internal medicine; Embedded system; Pathology","score_opus":0.028736406343302243,"score_gpt":0.2958305292659104,"score_spread":0.26709412292260815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390271198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98870546,0.004409534,0.0006137597,0.0044824076,0.0006124727,0.0007362825,0.000045753008,0.00028248888,0.0001118379],"genre_scores_gemma":[0.995439,0.00004719748,0.004196258,0.0001654851,0.000055529268,0.000041370633,0.000031479376,0.000008019453,0.000015655405],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847746,0.00020216238,0.00033091704,0.00040078515,0.0003217703,0.00026691917],"domain_scores_gemma":[0.99895465,0.000083784114,0.00020191036,0.0006601497,0.0000261569,0.00007335109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010478573,0.00012816189,0.00015858108,0.00013266156,0.00013982918,0.00013926414,0.0009535271,0.00003841423,8.056522e-7],"category_scores_gemma":[0.000043365046,0.00009877362,0.000024781772,0.0003809518,0.000054138018,0.00026903872,0.0005346227,0.00015960007,0.000002483104],"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":[0.00012182846,0.0002853357,0.58459955,0.005658475,0.0011280935,0.00016179153,0.0047813146,0.06876026,0.014549995,0.07584621,0.0011410394,0.2429661],"study_design_scores_gemma":[0.0018543048,0.00023835935,0.3499849,0.0008197516,0.000166624,0.000004504088,0.0009741864,0.63428867,0.009184726,0.0015179315,0.00068452186,0.0002814907],"about_ca_topic_score_codex":0.00016164394,"about_ca_topic_score_gemma":0.000018279516,"teacher_disagreement_score":0.56552845,"about_ca_system_score_codex":0.000045685123,"about_ca_system_score_gemma":0.0001163952,"threshold_uncertainty_score":0.40278715},"labels":[],"label_agreement":null},{"id":"W4390602365","doi":"10.5539/nct.v8n2p41","title":"Reviewer Acknowledgements for Network and Communication Technologies Vol. 8, No. 2","year":2024,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telecommunications; Computer science; Engineering","score_opus":0.0164453877491083,"score_gpt":0.2666086645957515,"score_spread":0.2501632768466432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390602365","genre_codex":"review","genre_gemma":"methods","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":[0.0013353851,0.7849875,0.17040382,0.019233124,0.0057388027,0.0017786222,0.000007243641,0.011750352,0.0047651595],"genre_scores_gemma":[0.23327574,0.30499074,0.45573607,0.0006149923,0.00057707203,0.0010615912,0.00005151427,0.000057120786,0.00363516],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998713,0.00007258921,0.00035095084,0.0003978749,0.000116421375,0.00034916602],"domain_scores_gemma":[0.9960116,0.00037007115,0.00014038388,0.0018372607,0.0016207179,0.000019963247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081711134,0.00021525036,0.0002685296,0.00010382681,0.0005542771,0.00053657335,0.0022643937,0.0002574782,0.0000055229975],"category_scores_gemma":[0.0021501957,0.00018312731,0.000048896385,0.00048345525,0.00037635904,0.0005282505,0.003017384,0.0004325832,0.00004634272],"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":[0.0000032371993,0.000014479755,0.00012674204,0.000095354764,0.00003682351,1.9335143e-7,0.000084366606,0.000018304576,0.0000057749075,0.10509216,0.45760155,0.436921],"study_design_scores_gemma":[0.00011772065,0.000110060144,0.0000702417,0.0007652857,0.000019639783,0.0000014517958,0.00014773506,0.032280844,0.000101663536,0.19472042,0.77145296,0.0002119566],"about_ca_topic_score_codex":0.0000050023696,"about_ca_topic_score_gemma":0.00001685597,"teacher_disagreement_score":0.47999674,"about_ca_system_score_codex":0.000036949637,"about_ca_system_score_gemma":0.000019545903,"threshold_uncertainty_score":0.7467715},"labels":[],"label_agreement":null},{"id":"W4391077658","doi":"10.11594/ijssr.04.02.03","title":"The New Age of Artificial Intelligence Regards Bharat and World Affairs","year":2023,"lang":"en","type":"article","venue":"Indonesian Journal of Social Science Research","topic":"Internet of Things and AI","field":"Computer Science","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":"Institute on Governance","funders":"","keywords":"Drone; World War II; China; Modernity; Front (military); Missile; Artificial intelligence; Political science; History; Computer science; Geography; Law; Meteorology","score_opus":0.08372602234697099,"score_gpt":0.39627735488846294,"score_spread":0.3125513325414919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391077658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.622951,0.0011662795,0.12354269,0.17475434,0.0056730644,0.0010443296,0.000004558029,0.00016158406,0.07070218],"genre_scores_gemma":[0.99752146,0.00007478538,0.0010254215,0.000020264319,0.00038423153,9.88492e-7,4.808814e-8,0.000004888976,0.0009679216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963979,0.00018378237,0.00047158301,0.0002176387,0.002097575,0.00063148007],"domain_scores_gemma":[0.99826056,0.00039705075,0.00023477759,0.00020207718,0.00066135736,0.00024415596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010869642,0.00008330866,0.0001833149,0.00075428176,0.0010132802,0.0008632389,0.0028213102,0.000040275856,0.000006968484],"category_scores_gemma":[0.0005972153,0.000055780078,0.0000920155,0.004430305,0.0018624731,0.00077989115,0.0006867387,0.00057780585,0.000016902655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057892285,0.000033099557,0.00020822909,0.000012679993,0.000014271716,0.00018410776,0.008418515,0.000011828256,0.016330902,0.59805685,0.0044482746,0.37222335],"study_design_scores_gemma":[0.0006749863,0.001999642,0.042504054,0.00063900393,0.00001875382,0.000324196,0.027908063,0.0154583,0.13097517,0.7419252,0.03673533,0.0008373367],"about_ca_topic_score_codex":0.00003604149,"about_ca_topic_score_gemma":0.000032662985,"teacher_disagreement_score":0.37457046,"about_ca_system_score_codex":0.000095843876,"about_ca_system_score_gemma":0.000902929,"threshold_uncertainty_score":0.83242327},"labels":[],"label_agreement":null},{"id":"W4391265668","doi":"10.54097/tmp25375","title":"Application of Artificial Intelligence Technologies in Concrete and Nanomaterials","year":2023,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Internet of Things and AI","field":"Computer Science","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 Ottawa","funders":"","keywords":"Nanomaterials; Materials science; Computer science; Engineering; Nanotechnology","score_opus":0.008708820268725371,"score_gpt":0.23194696229281045,"score_spread":0.22323814202408507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391265668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676065,0.000111449845,0.029333532,0.0021380035,0.00017797666,0.0001016881,7.070507e-7,0.00050586497,0.000024283074],"genre_scores_gemma":[0.98902273,0.00013269453,0.010811155,0.0000024266167,0.000004462169,0.000020555202,1.3457564e-7,0.0000026603104,0.0000031733039],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991293,0.0000037007137,0.00021990843,0.00031516634,0.000100459416,0.00023148397],"domain_scores_gemma":[0.9996419,0.000042280648,0.000046286117,0.00022770188,0.00002745338,0.000014387198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004684,0.00007749206,0.00014670865,0.0013273851,0.000033845183,0.00004339097,0.000600298,0.000095289855,1.3245347e-7],"category_scores_gemma":[0.00014350927,0.000068152694,0.0000057048087,0.0023346413,0.0003782296,0.00021601998,0.00042131759,0.00008017139,0.0000070506085],"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":[6.089399e-7,0.0000018482344,0.0001663735,0.000009905804,4.8154243e-7,0.0000059257814,0.00013333076,0.00013400523,0.21098702,0.7733123,0.0000010133657,0.015247224],"study_design_scores_gemma":[0.00004315374,0.000058474823,0.00057235383,0.00005886004,5.712542e-7,0.000017689377,0.00014765536,0.3388419,0.6262726,0.033405356,0.00045138688,0.00013000406],"about_ca_topic_score_codex":0.000015325873,"about_ca_topic_score_gemma":0.0000030557708,"teacher_disagreement_score":0.7399069,"about_ca_system_score_codex":0.000018128643,"about_ca_system_score_gemma":0.000017094657,"threshold_uncertainty_score":0.27791864},"labels":[],"label_agreement":null},{"id":"W4392172976","doi":"10.1109/comst.2024.3356268","title":"Editorial First Quarter 2024 IEEE Communications Surveys and Tutorials","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Internet of Things and AI","field":"Computer Science","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":"Quarter (Canadian coin); Computer science; Telecommunications; IEEE 802.11u; Wireless; IEEE 802.11; Wireless lan; Geography","score_opus":0.041244285610305256,"score_gpt":0.31066489848113055,"score_spread":0.2694206128708253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392172976","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018979132,0.0071212086,0.18495546,0.01761619,0.77313274,0.0014556585,0.0004513981,0.0017217281,0.011647713],"genre_scores_gemma":[0.8718629,0.004624616,0.020200118,0.00024218173,0.097070314,0.00052181585,0.0001915964,0.00014322488,0.005143216],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98818874,0.008097065,0.0013248828,0.0009070078,0.00080772786,0.0006745995],"domain_scores_gemma":[0.9838185,0.006567607,0.00033065918,0.008290639,0.0007064536,0.00028619758],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.021699242,0.0005300485,0.00073984545,0.00039267354,0.001185967,0.0026191701,0.008428769,0.00042786452,0.00005929577],"category_scores_gemma":[0.0007898658,0.0005172457,0.00028331624,0.0010376197,0.00066069217,0.0017771785,0.0019985223,0.0010059023,0.0006127411],"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":[0.0000062692675,0.00034967918,0.00021179092,0.00009342296,0.0003106771,0.0000056570334,0.0035632486,0.000025118012,0.0030525157,0.06256558,0.91893286,0.010883203],"study_design_scores_gemma":[0.00050062,0.00013395696,0.00058444,0.00026447512,0.00007286621,0.000018945464,0.00006127158,0.0063986243,0.0005838698,0.006083836,0.98456645,0.00073065795],"about_ca_topic_score_codex":0.0024235027,"about_ca_topic_score_gemma":0.0016082948,"teacher_disagreement_score":0.869965,"about_ca_system_score_codex":0.00024873915,"about_ca_system_score_gemma":0.00042957126,"threshold_uncertainty_score":0.9997279},"labels":[],"label_agreement":null},{"id":"W4393149634","doi":"10.1007/978-3-031-56700-1","title":"Advanced Computing","year":2024,"lang":"en","type":"book","venue":"Communications in computer and information science","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Dr B R Ambedkar National Institute of Technology Jalandhar; North South University; Thapar Institute of Engineering and Technology; Motilal Nehru National Institute of Technology Allahabad; Jaypee Institute of Information Technology; Indian Statistical Institute; Deenbandhu Chhotu Ram University of Science and Technology; SSN College of Engineering; Kurukshetra University; Indian Institute of Technology Kharagpur; Indian Institute of Technology Delhi; Jawaharlal Nehru Technological University Hyderabad; Guru Jambheshwar University of Science and Technology; VIT University; RMIT University; Osmania University; National Institute of Technology Karnataka, Surathkal; Liverpool John Moores University; Politechnika Wrocławska; ITM University-Gwalior; Indian Institute of Technology Madras; Ministry of Earth Sciences; Defence Research and Development Organisation; International Institute of Information Technology, Hyderabad; Jadavpur University; Universiti Malaya; Trinity College Dublin; Cardiff University; Netaji Subhas University of Technology; Amity University; Indian Institute of Technology Jodhpur; University of the Punjab; Queen's University; San José State University; De Montfort University; Indian Institute of Technology Roorkee; Queen's University Belfast; University of Rwanda; Vidyasirimedhi Institute of Science and Technology","keywords":"Computer science","score_opus":0.020321147890390457,"score_gpt":0.2987235136573942,"score_spread":0.2784023657670037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393149634","genre_codex":"other","genre_gemma":"methods","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":[0.000039716633,0.0009938405,0.4769681,0.0021497947,0.0012344661,0.00028866154,0.0000057982734,0.00025713933,0.5180625],"genre_scores_gemma":[0.0507109,0.0028290283,0.9046773,0.0068756863,0.00023555108,0.00003641798,0.00009693612,0.000032104996,0.034506124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998353,0.000025409374,0.0006032774,0.00031949749,0.0004268716,0.00027191904],"domain_scores_gemma":[0.9974422,0.00015479702,0.00022421595,0.0018298073,0.00026174964,0.00008725346],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0010744063,0.0002042792,0.00022283394,0.0010110714,0.00033260207,0.0016156926,0.0051184776,0.00010048598,0.0000026497771],"category_scores_gemma":[0.000034510063,0.00019672794,0.000052060812,0.00073115603,0.00053868606,0.0077513014,0.0058102557,0.0006171853,0.00020843069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.2259973e-7,0.0000071815753,0.0000024025499,0.000046519363,0.0000032354576,7.059868e-7,0.0023699794,0.0001888511,0.0000014201264,0.62267333,0.004099243,0.3706067],"study_design_scores_gemma":[0.000092314534,0.000027034184,0.000071428185,0.000391693,0.0000021088633,0.000023130648,0.000009926349,0.6003224,0.000005656183,0.011410171,0.38744533,0.00019879361],"about_ca_topic_score_codex":0.0000056282734,"about_ca_topic_score_gemma":0.0000025746979,"teacher_disagreement_score":0.61126316,"about_ca_system_score_codex":0.0002473046,"about_ca_system_score_gemma":0.00053951197,"threshold_uncertainty_score":0.9994207},"labels":[],"label_agreement":null},{"id":"W4393169450","doi":"10.1007/978-3-031-56703-2","title":"Advanced Computing","year":2024,"lang":"en","type":"book","venue":"Communications in computer and information science","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"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":"Dr B R Ambedkar National Institute of Technology Jalandhar; North South University; Thapar Institute of Engineering and Technology; Motilal Nehru National Institute of Technology Allahabad; Jaypee Institute of Information Technology; Indian Statistical Institute; Deenbandhu Chhotu Ram University of Science and Technology; SSN College of Engineering; Kurukshetra University; Indian Institute of Technology Kharagpur; Indian Institute of Technology Delhi; Jawaharlal Nehru Technological University Hyderabad; Guru Jambheshwar University of Science and Technology; VIT University; RMIT University; Osmania University; National Institute of Technology Karnataka, Surathkal; Liverpool John Moores University; Politechnika Wrocławska; ITM University-Gwalior; Indian Institute of Technology Madras; Ministry of Earth Sciences; Defence Research and Development Organisation; International Institute of Information Technology, Hyderabad; Jadavpur University; Universiti Malaya; Trinity College Dublin; Cardiff University; Netaji Subhas University of Technology; Amity University; Indian Institute of Technology Jodhpur; University of the Punjab; Queen's University; San José State University; De Montfort University; Indian Institute of Technology Roorkee; Queen's University Belfast; University of Rwanda; Vidyasirimedhi Institute of Science and Technology","keywords":"Computer science","score_opus":0.020321147890390457,"score_gpt":0.2987235136573942,"score_spread":0.2784023657670037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393169450","genre_codex":"other","genre_gemma":"methods","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":[0.000039716633,0.0009938405,0.4769681,0.0021497947,0.0012344661,0.00028866154,0.0000057982734,0.00025713933,0.5180625],"genre_scores_gemma":[0.0507109,0.0028290283,0.9046773,0.0068756863,0.00023555108,0.00003641798,0.00009693612,0.000032104996,0.034506124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998353,0.000025409374,0.0006032774,0.00031949749,0.0004268716,0.00027191904],"domain_scores_gemma":[0.9974422,0.00015479702,0.00022421595,0.0018298073,0.00026174964,0.00008725346],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0010744063,0.0002042792,0.00022283394,0.0010110714,0.00033260207,0.0016156926,0.0051184776,0.00010048598,0.0000026497771],"category_scores_gemma":[0.000034510063,0.00019672794,0.000052060812,0.00073115603,0.00053868606,0.0077513014,0.0058102557,0.0006171853,0.00020843069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.2259973e-7,0.0000071815753,0.0000024025499,0.000046519363,0.0000032354576,7.059868e-7,0.0023699794,0.0001888511,0.0000014201264,0.62267333,0.004099243,0.3706067],"study_design_scores_gemma":[0.000092314534,0.000027034184,0.000071428185,0.000391693,0.0000021088633,0.000023130648,0.000009926349,0.6003224,0.000005656183,0.011410171,0.38744533,0.00019879361],"about_ca_topic_score_codex":0.0000056282734,"about_ca_topic_score_gemma":0.0000025746979,"teacher_disagreement_score":0.61126316,"about_ca_system_score_codex":0.0002473046,"about_ca_system_score_gemma":0.00053951197,"threshold_uncertainty_score":0.9994207},"labels":[],"label_agreement":null},{"id":"W4394825420","doi":"10.1109/vr58804.2024.00011","title":"IEEE VR 2024 Paper Reviewers","year":2024,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"McGill University","keywords":"Computer science; Computer graphics (images); Virtual reality; Multimedia; Human–computer interaction","score_opus":0.011513568028806176,"score_gpt":0.25427112863775136,"score_spread":0.24275756060894518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394825420","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":[0.00032550222,0.004681498,0.26488134,0.014564533,0.00941752,0.00009378397,5.6837706e-7,0.00057182834,0.7054634],"genre_scores_gemma":[0.23746835,0.0006763771,0.051867716,0.020793898,0.00078520394,0.0000148046665,6.741161e-7,0.000021977223,0.688371],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994152,0.000009601111,0.00009802747,0.00021564227,0.0001315499,0.00012997356],"domain_scores_gemma":[0.99967104,0.000021417563,0.000007680572,0.00023656464,0.000024763161,0.000038541755],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016992785,0.000063573556,0.00006545548,0.00003372166,0.000021468968,0.00031839742,0.000456682,0.000021671023,0.0008173915],"category_scores_gemma":[0.0000105122635,0.000043088592,0.000063409396,0.00018571383,0.0000097760185,0.0004483397,0.000094329174,0.000091399765,0.0026074587],"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":[1.6770805e-7,0.000004530317,0.0000016175514,0.000038636023,0.000009130671,0.00003206845,0.00016490529,0.0000024960782,0.00041861532,0.28393015,0.6242857,0.09111197],"study_design_scores_gemma":[0.000014033333,0.000017752558,0.0000067821234,0.00010061117,0.0000024179205,0.000013572501,0.0000032611008,0.017529074,0.0007931409,0.0034740889,0.9779672,0.00007806719],"about_ca_topic_score_codex":0.000024159546,"about_ca_topic_score_gemma":0.0000026005384,"teacher_disagreement_score":0.3536815,"about_ca_system_score_codex":0.00001441406,"about_ca_system_score_gemma":0.000022965214,"threshold_uncertainty_score":0.9981691},"labels":[],"label_agreement":null},{"id":"W4394969608","doi":"10.1109/tvcg.2024.3369811","title":"IEEE VR 2024 Paper Reviewers","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"McGill University","keywords":"Computer science; Virtual reality; Computer graphics (images); Human–computer interaction; Multimedia","score_opus":0.016159746694335505,"score_gpt":0.2771231703392452,"score_spread":0.2609634236449097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394969608","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":[0.0004873611,0.0005271287,0.99233204,0.00034082218,0.0053363433,0.00014132884,0.0000048228258,0.0004129401,0.0004172054],"genre_scores_gemma":[0.9774363,0.0042531374,0.0035822378,0.010964209,0.0003897558,0.000042544816,0.000005364603,0.00005585418,0.0032705958],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868727,0.0000699139,0.00027579244,0.00047654318,0.00028779425,0.00020267339],"domain_scores_gemma":[0.9993913,0.00006845235,0.0000367936,0.00028925136,0.00010747573,0.00010669455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021797302,0.0002008638,0.00016766382,0.0003326342,0.00019349756,0.00063855574,0.00031016074,0.000097423595,0.000059358317],"category_scores_gemma":[0.0000012262789,0.00017880752,0.00013363635,0.00089445914,0.000054362583,0.0006708114,0.0000047215412,0.0002433285,0.000068794034],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004508194,0.00009928122,0.0000020504538,0.00016517618,0.00007847522,0.000019310583,0.001088682,0.00029110129,0.000040106854,0.9179582,0.0114630135,0.068790115],"study_design_scores_gemma":[0.00012900606,0.00016273264,0.000011902324,0.0002907869,0.000025525875,0.00003779698,0.0000078329385,0.8837279,0.0008001851,0.0016189517,0.11294169,0.00024568714],"about_ca_topic_score_codex":0.000013454391,"about_ca_topic_score_gemma":0.0000074963277,"teacher_disagreement_score":0.9887498,"about_ca_system_score_codex":0.000021062413,"about_ca_system_score_gemma":0.000038669292,"threshold_uncertainty_score":0.72915584},"labels":[],"label_agreement":null},{"id":"W4394969615","doi":"10.1109/tvcg.2024.3369796","title":"IEEE VR 2024 Committee","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Internet of Things and AI","field":"Computer Science","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; University of Calgary; Concordia University","funders":"","keywords":"Computer science; Computer graphics (images); Virtual reality; Human–computer interaction","score_opus":0.016452867297036114,"score_gpt":0.27404837723302816,"score_spread":0.25759550993599206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394969615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017998643,0.00013764949,0.9915898,0.00030186764,0.005091478,0.000116806106,0.000006682747,0.000529594,0.00042630063],"genre_scores_gemma":[0.9931989,0.0003086046,0.0018109948,0.0028931617,0.00018500886,0.0000161738,0.0000026581224,0.000027056481,0.0015574741],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875313,0.00006391582,0.00024659233,0.0004497124,0.00027661587,0.00021002146],"domain_scores_gemma":[0.99941635,0.00008653229,0.000033224154,0.00028296604,0.00007461523,0.00010631126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017353968,0.00019843206,0.0001497979,0.00041540054,0.00023171408,0.0007726497,0.00035318933,0.00010516608,0.00003512034],"category_scores_gemma":[5.9109357e-7,0.0001847678,0.00012577428,0.0007102408,0.00006183934,0.000516267,0.000005723937,0.00027173728,0.00006184966],"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":[0.0000048744487,0.000119398195,0.0000043924606,0.000074464486,0.000072509065,0.000021293477,0.0013060509,0.00039655776,0.000028527553,0.95380056,0.008257781,0.035913587],"study_design_scores_gemma":[0.00015037588,0.00018657923,0.000020472613,0.0001280929,0.000017874307,0.000042344767,0.000010113272,0.96279156,0.0017054715,0.002760306,0.03195745,0.00022935169],"about_ca_topic_score_codex":0.00001890307,"about_ca_topic_score_gemma":0.000011036883,"teacher_disagreement_score":0.991399,"about_ca_system_score_codex":0.00002073202,"about_ca_system_score_gemma":0.000032628584,"threshold_uncertainty_score":0.75346124},"labels":[],"label_agreement":null},{"id":"W4398226292","doi":"10.1109/comst.2024.3396689","title":"Editorial: Second Quarter 2024 IEEE Communications Surveys and Tutorials","year":2024,"lang":"en","type":"editorial","venue":"IEEE Communications Surveys & Tutorials","topic":"Internet of Things and AI","field":"Computer Science","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":"Quarter (Canadian coin); Telecommunications; Computer science; Geography; Archaeology","score_opus":0.031894914676557036,"score_gpt":0.31631115235852586,"score_spread":0.28441623768196883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398226292","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":[0.00002232963,0.0055142283,0.010248338,0.0019619525,0.97104114,0.0012373261,0.0024088898,0.00093959103,0.006626178],"genre_scores_gemma":[0.001878766,0.0052129566,0.006393047,0.00008865507,0.96699995,0.000636826,0.0012508904,0.00027361538,0.0172653],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.96985763,0.020890081,0.003161348,0.0022179666,0.002519053,0.0013539359],"domain_scores_gemma":[0.95659924,0.019597307,0.0016100128,0.018745678,0.002877291,0.0005704784],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.04305742,0.0015416639,0.00237302,0.0009036676,0.0014197206,0.0048246034,0.020954615,0.0028360093,0.00013355866],"category_scores_gemma":[0.003618132,0.0015696061,0.00071953115,0.0013781412,0.0012446346,0.0018814311,0.0059086434,0.0048329644,0.0013081109],"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":[0.0000067304586,0.00026894853,0.0000060009265,0.00020259057,0.00050022884,0.0000055766723,0.0012678605,0.0000027471099,0.00057121797,0.0039001585,0.99116707,0.0021008803],"study_design_scores_gemma":[0.0007658883,0.0002026715,0.00002137381,0.0005801928,0.000247796,0.000008272401,0.00005063352,0.000495078,0.00018673654,0.0055171037,0.99034345,0.0015807926],"about_ca_topic_score_codex":0.0031019764,"about_ca_topic_score_gemma":0.0036271473,"teacher_disagreement_score":0.039439287,"about_ca_system_score_codex":0.0007051083,"about_ca_system_score_gemma":0.002082366,"threshold_uncertainty_score":0.9998803},"labels":[],"label_agreement":null},{"id":"W4399173224","doi":"10.52058/2695-1592-2024-5(36)-334-346","title":"HIGH TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN THE MANUFACTURING SECTOR AND AGRICULTURE IN INDIA","year":2024,"lang":"en","type":"article","venue":"Věda a perspektivy","topic":"Internet of Things and AI","field":"Computer Science","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Agriculture; Manufacturing sector; Business; Manufacturing engineering; Engineering; Industrial organization; Agricultural economics; Economics; Biology; Labour economics; Ecology","score_opus":0.01144933259446098,"score_gpt":0.2263643228772212,"score_spread":0.2149149902827602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399173224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856428,0.0020726211,0.0024832534,0.008829549,0.00024672362,0.00015254426,0.0000019204938,0.00016347342,0.00040713465],"genre_scores_gemma":[0.9977873,0.000103451006,0.0019078411,0.00010988446,0.00004159573,0.000010342349,3.3202775e-7,0.0000032964545,0.00003598014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999269,0.000023510018,0.00011965364,0.00030125378,0.000112035195,0.0001745666],"domain_scores_gemma":[0.99975085,0.00007392609,0.000017025146,0.00013886005,0.000006805946,0.000012512481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021231288,0.00010322131,0.00009305612,0.0001649468,0.000038162852,0.00044245087,0.00041179144,0.00007211577,0.0000038143783],"category_scores_gemma":[0.000023878321,0.00006118476,0.000018052222,0.00026205945,0.000062369385,0.00026775457,0.00022355365,0.00031105315,0.0000073300057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072989205,0.000052951178,0.00027790698,0.0000842275,0.000015204863,0.00043214025,0.034219418,0.000036760084,0.0028629971,0.6892014,0.00052918866,0.27228045],"study_design_scores_gemma":[0.0003565519,0.0006169075,0.071194224,0.0015825779,0.000027943945,0.0007910352,0.07188682,0.05059804,0.22931892,0.5591811,0.012687581,0.001758323],"about_ca_topic_score_codex":0.00020428772,"about_ca_topic_score_gemma":0.000111814574,"teacher_disagreement_score":0.27052215,"about_ca_system_score_codex":0.000028714672,"about_ca_system_score_gemma":0.000010007422,"threshold_uncertainty_score":0.4266564},"labels":[],"label_agreement":null},{"id":"W4399602250","doi":"10.1109/mias.2024.3389229","title":"IEEE IAS Regional Workshops [Chapter News]","year":2024,"lang":"en","type":"article","venue":"IEEE Industry Applications Magazine","topic":"Internet of Things and AI","field":"Computer Science","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":"McMaster University","funders":"","keywords":"Computer science; Engineering; Business","score_opus":0.031227270575305527,"score_gpt":0.2826021050309787,"score_spread":0.2513748344556732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399602250","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":[0.0040896703,0.00047970298,0.89514387,0.040884595,0.0014035471,0.00046092516,0.000012788514,0.0009890884,0.0565358],"genre_scores_gemma":[0.88236135,0.000078950536,0.02945076,0.00555407,0.003274129,0.0005602407,0.000018508386,0.00006708039,0.0786349],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985443,0.000015416666,0.000288174,0.0005788165,0.00027790968,0.0002954123],"domain_scores_gemma":[0.998864,0.000075173964,0.00006293011,0.00076597324,0.00008842195,0.00014351013],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015485313,0.00019650445,0.00013926953,0.0001553098,0.00012298752,0.00043673962,0.0010619886,0.00029228217,0.00018740307],"category_scores_gemma":[0.000005007941,0.0001842558,0.00010774472,0.00053544715,0.00007946257,0.0004969948,0.00010426658,0.0008514241,0.003079627],"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":[0.000003866315,0.00009584851,0.000032847463,0.000029442643,0.000054461703,0.00004634415,0.00018494355,0.00033137968,0.0044675185,0.4619546,0.35967845,0.17312032],"study_design_scores_gemma":[0.00010233999,0.000025691004,0.000094074174,0.00009387243,0.000012881815,0.0001440476,0.0000148301415,0.018361637,0.0018429068,0.012671602,0.96635246,0.00028367137],"about_ca_topic_score_codex":0.000012834898,"about_ca_topic_score_gemma":0.000005204894,"teacher_disagreement_score":0.8782717,"about_ca_system_score_codex":0.0000577494,"about_ca_system_score_gemma":0.00007388382,"threshold_uncertainty_score":0.9976966},"labels":[],"label_agreement":null},{"id":"W4400976805","doi":"10.1109/accai61061.2024.10602337","title":"IoT-Based Smart Home Healthcare Monitoring System Using Machine Learning Algorithms","year":2024,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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":"Horizon College and Seminary","funders":"","keywords":"Computer science; Internet of Things; Health care; Machine learning; Artificial intelligence; Algorithm; Embedded system","score_opus":0.02745920271511561,"score_gpt":0.27907820776621495,"score_spread":0.25161900505109935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400976805","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":[0.077769436,0.0024344102,0.90825725,0.0019337428,0.0063273795,0.00014910131,0.0000025725087,0.0021057958,0.0010203382],"genre_scores_gemma":[0.9083152,0.0000027332499,0.09023609,0.00009447469,0.00033066943,0.000003792484,0.0000011401922,0.000020173971,0.0009957508],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864554,0.00006288054,0.00022750274,0.00041373997,0.00030861818,0.00034173936],"domain_scores_gemma":[0.99947804,0.00005724038,0.000042698422,0.00025280233,0.00005943184,0.00010980421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038004408,0.00015715531,0.00016729726,0.00016534238,0.00018932472,0.00065852253,0.00049942697,0.000062559346,0.0000073287783],"category_scores_gemma":[0.000007849036,0.00013176061,0.00009929678,0.0003065643,0.000012242796,0.0002519185,0.00018971675,0.0003396123,0.00008588794],"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":[0.00004125849,0.0001973548,0.030966474,0.00820171,0.00042542146,0.0037481694,0.007645444,0.03875276,0.022665914,0.40392184,0.000730684,0.48270297],"study_design_scores_gemma":[0.000082070525,0.00006193651,0.00008030433,0.00062685186,0.0000045206084,0.00004989881,0.000070353606,0.9896439,0.006476681,0.000043935364,0.0026919276,0.00016764853],"about_ca_topic_score_codex":0.0017945356,"about_ca_topic_score_gemma":0.0000070259607,"teacher_disagreement_score":0.95089114,"about_ca_system_score_codex":0.00021818856,"about_ca_system_score_gemma":0.00008492281,"threshold_uncertainty_score":0.6350148},"labels":[],"label_agreement":null},{"id":"W4401827108","doi":"10.18280/ria.380415","title":"Assessing the Effectiveness of An IoT-Based Healthcare Monitoring and Alerting System with Arduino Integration","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Arduino; Internet of Things; Health care; Computer science; Embedded system; Political science","score_opus":0.03552172289942911,"score_gpt":0.3142701569739322,"score_spread":0.27874843407450306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401827108","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38729152,0.00042932498,0.6111999,0.00024436336,0.00036767204,0.00015138734,4.98038e-7,0.000104774044,0.0002105596],"genre_scores_gemma":[0.9937685,0.0000034573188,0.0060884873,0.000013425097,0.00007647675,0.000018149893,8.7750266e-7,0.000012028658,0.00001857887],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875003,0.00024390979,0.00027531444,0.00036372655,0.00017714677,0.00018984525],"domain_scores_gemma":[0.9988667,0.0005056127,0.00009037945,0.0003628059,0.00012342159,0.00005109065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014816051,0.0001272449,0.00015982162,0.00008802576,0.0001745396,0.0006064003,0.0003886002,0.000044960863,9.0499e-7],"category_scores_gemma":[0.000043746255,0.0000825456,0.000044206474,0.00035215178,0.00006419238,0.00048873853,0.00006486124,0.00020051193,0.0000054684665],"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":[0.000076050965,0.00012303497,0.0028747101,0.005557046,0.000066911205,0.00013082598,0.009136326,0.104087174,0.08469419,0.27523732,0.0000048928587,0.5180115],"study_design_scores_gemma":[0.000012643309,0.00013278465,0.00040798954,0.0032179574,0.0000055939545,0.000031722087,0.0014353886,0.7086629,0.28581196,0.00018271057,0.000018249153,0.000080055324],"about_ca_topic_score_codex":0.0002017372,"about_ca_topic_score_gemma":0.0000054857796,"teacher_disagreement_score":0.606477,"about_ca_system_score_codex":0.00006975042,"about_ca_system_score_gemma":0.000061798455,"threshold_uncertainty_score":0.5847532},"labels":[],"label_agreement":null},{"id":"W4402068761","doi":"10.18280/ijsse.140425","title":"Lightweight Cryptography Based Secured Data Transmission Model for Quality of Service in Internet of Things-A Comparative Analysis","year":2024,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Computer security; The Internet; Cryptography; Transmission (telecommunications); Computer network; Service (business); World Wide Web; Telecommunications; Business","score_opus":0.03196663804377172,"score_gpt":0.30570972131925095,"score_spread":0.27374308327547925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402068761","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":[0.030544871,0.00069269177,0.9669191,0.0014762687,0.00020772469,0.000056347184,0.00004473673,0.000011554422,0.000046667243],"genre_scores_gemma":[0.9241596,0.00006698358,0.07563546,0.00008435578,0.000027287018,6.378755e-7,0.000018924422,0.000003818638,0.0000029183554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855024,0.000028400731,0.00076547574,0.00018771533,0.00037168857,0.00009651242],"domain_scores_gemma":[0.99888676,0.0003180741,0.00024688072,0.00015021338,0.0003470567,0.000051004765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009519824,0.000113082395,0.00037810925,0.00063821033,0.00000933718,0.000065316766,0.0010716319,0.00005542133,0.0000049834007],"category_scores_gemma":[0.000030041469,0.00009711851,0.00019244592,0.0004013497,0.000017043183,0.0008784786,0.00013671073,0.00020537697,7.0753785e-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":[0.0013429105,0.000528179,0.0006353856,0.0015592857,0.0043642083,0.000043607775,0.06691476,0.5303142,0.01156767,0.3738538,0.00023058457,0.008645388],"study_design_scores_gemma":[0.00044487845,0.000043001375,0.00036330568,0.00049350865,0.00005399336,0.000005078741,0.000032988082,0.99300826,0.0026045127,0.0020401243,0.00081817247,0.00009216698],"about_ca_topic_score_codex":0.00006873758,"about_ca_topic_score_gemma":0.000024437184,"teacher_disagreement_score":0.8936147,"about_ca_system_score_codex":0.000030932657,"about_ca_system_score_gemma":0.000058122663,"threshold_uncertainty_score":0.3960378},"labels":[],"label_agreement":null},{"id":"W4403770886","doi":"10.18280/i2m.230507","title":"Behavioural Analysis of Hatchetman Attacker for Detection & Prevention in Low Power and Lossy IoT Network","year":2024,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Internet of Things and AI","field":"Computer Science","cited_by":5,"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":"Lossy compression; Internet of Things; Power analysis; Computer science; Power (physics); Computer security; Computer network; Artificial intelligence; Physics; Cryptography","score_opus":0.02929210972953358,"score_gpt":0.3223387144428916,"score_spread":0.293046604713358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403770886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74574584,0.00009449871,0.253114,0.0003806143,0.00042337365,0.00016283306,0.000005233304,0.00005061501,0.000022974844],"genre_scores_gemma":[0.98732597,0.000010154754,0.012373267,0.00008278311,0.000026217263,0.000031573178,0.000023674478,0.000005734219,0.00012061253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990046,0.00006746268,0.00030163667,0.0003003892,0.00014621664,0.0001796707],"domain_scores_gemma":[0.9996007,0.00007084972,0.00010223903,0.00015248044,0.00004795473,0.000025787933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055517507,0.00010178687,0.00018086623,0.00028296697,0.00004195486,0.00013516324,0.0001661059,0.00008420827,0.000018167537],"category_scores_gemma":[0.00001824684,0.000093780814,0.00013443772,0.0005766096,0.000031257223,0.00032514735,0.000047988306,0.00009685698,0.0000025411855],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041634426,0.00038380292,0.6710624,0.0003402281,0.0020404777,0.000022424014,0.007970544,0.03089428,0.01071282,0.021872204,0.0013444164,0.25294006],"study_design_scores_gemma":[0.00088544685,0.00050159945,0.7452907,0.000119405646,0.00040837427,0.00000520597,0.00007464612,0.23868462,0.005182022,0.007856288,0.0006935124,0.00029816147],"about_ca_topic_score_codex":0.00005751664,"about_ca_topic_score_gemma":0.00047391112,"teacher_disagreement_score":0.2526419,"about_ca_system_score_codex":0.0000449975,"about_ca_system_score_gemma":0.000020153282,"threshold_uncertainty_score":0.38242707},"labels":[],"label_agreement":null},{"id":"W4404014197","doi":"10.2118/222101-ms","title":"Artificial Intelligence Associated Drones Solutions for Waste Disposal Management in the Process Industries","year":2024,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Drone; Process (computing); Computer science; Waste management; Manufacturing engineering; Engineering","score_opus":0.04893447293143965,"score_gpt":0.304771211071064,"score_spread":0.2558367381396243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404014197","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017786913,0.00008985707,0.957687,0.018258268,0.00083192333,0.0004862281,0.00000553221,0.0001932278,0.0046610273],"genre_scores_gemma":[0.99703383,0.000004248242,0.0009443942,0.00029531945,0.00006842115,0.00008873918,0.000003155845,0.000004494384,0.0015574021],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991044,0.000023272152,0.00018696465,0.00022599175,0.00018189265,0.0002774708],"domain_scores_gemma":[0.9996807,0.0000969724,0.000024144498,0.00014421619,0.000037058297,0.000016902435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005711347,0.00008241985,0.000068015084,0.000085221334,0.00012919097,0.00054518704,0.0007510776,0.000041381136,0.0000086332275],"category_scores_gemma":[0.000040293395,0.00005339501,0.000037205584,0.0005181709,0.000032703883,0.0003465013,0.00016316333,0.00012959323,0.000022295224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023604298,0.000059209226,0.0000067358637,0.000022494502,0.000020112891,0.000009509864,0.0019808162,0.00031840548,0.000008028325,0.92691,0.0032293564,0.06743298],"study_design_scores_gemma":[0.000032876484,0.00009946719,0.000083320716,0.00014470523,0.000016160331,0.000003858322,0.0034078886,0.7657455,0.0024797427,0.2238221,0.0039667804,0.00019757768],"about_ca_topic_score_codex":0.000032491764,"about_ca_topic_score_gemma":0.00011663122,"teacher_disagreement_score":0.9792469,"about_ca_system_score_codex":0.00003492209,"about_ca_system_score_gemma":0.000037095455,"threshold_uncertainty_score":0.5257251},"labels":[],"label_agreement":null},{"id":"W4405909055","doi":"10.1109/wf-iot62078.2024.10811259","title":"Developing “Capture the Flag” for 5G IoT Cyber Security Training","year":2024,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Telus (Canada); Algonquin College","funders":"Science and Engineering Research Council; Mitacs","keywords":"Flag (linear algebra); Internet of Things; Computer science; Computer security","score_opus":0.034954380769991245,"score_gpt":0.28246916754082846,"score_spread":0.24751478677083721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405909055","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":[0.0043417583,0.00030874295,0.9184391,0.037994105,0.0016738059,0.00016852748,0.0000012427574,0.00034171183,0.036731012],"genre_scores_gemma":[0.93805104,0.000002549424,0.05160226,0.0046267165,0.00026372526,0.000016981137,6.9550896e-7,0.000008906928,0.0054271407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930096,0.000012559366,0.000111850066,0.00023797566,0.00012165982,0.00021499825],"domain_scores_gemma":[0.99961007,0.0001319146,0.000015980308,0.0001797264,0.000035770805,0.000026561418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035350892,0.000086762186,0.00007454506,0.000029868152,0.00011279995,0.0005210501,0.00065812096,0.000042518575,0.000025068963],"category_scores_gemma":[0.000026645896,0.00004980305,0.00008274972,0.0001283241,0.000017382243,0.00017436306,0.00008861329,0.00013691898,0.000038267946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.61066e-7,0.0000021031572,0.0000012855522,0.000022334561,0.000015058108,0.0000048002407,0.010080766,0.000010032198,0.000069967784,0.9560881,0.015480775,0.018224118],"study_design_scores_gemma":[0.000088636574,0.000024194842,0.000028911172,0.00013049277,0.0000052944033,0.000036917412,0.00041441308,0.26156026,0.0037584042,0.11795124,0.61579,0.0002112075],"about_ca_topic_score_codex":0.000032780496,"about_ca_topic_score_gemma":0.000025001762,"teacher_disagreement_score":0.93370926,"about_ca_system_score_codex":0.000027255548,"about_ca_system_score_gemma":0.0000773135,"threshold_uncertainty_score":0.50244987},"labels":[],"label_agreement":null},{"id":"W4406148572","doi":"10.1504/ijsse.2024.143700","title":"Security and data privacy systems concerns in IoT using consensus algorithm","year":2024,"lang":"en","type":"article","venue":"International Journal of System of Systems Engineering","topic":"Internet of Things and AI","field":"Computer Science","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer security; Computer science; Internet of Things; Consensus algorithm; Information privacy; Internet privacy; Algorithm","score_opus":0.029515382596167813,"score_gpt":0.291271281582029,"score_spread":0.26175589898586116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406148572","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36910063,0.026408011,0.57989705,0.00020191477,0.023669425,0.00031883238,0.00011894015,0.00011828223,0.00016689482],"genre_scores_gemma":[0.99330163,0.000027807971,0.0058943317,0.0000027867115,0.0007367672,0.0000014049002,0.0000016086946,0.000016341044,0.000017317076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977518,0.00005737585,0.0010768761,0.0002617838,0.0006734568,0.00017875426],"domain_scores_gemma":[0.99865806,0.00018061865,0.00040995385,0.00031308064,0.00035288493,0.00008537633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014040589,0.00016395292,0.00042223165,0.0005422807,0.000014640674,0.0005079164,0.0016056552,0.00007648095,4.5387947e-7],"category_scores_gemma":[0.00006099585,0.00014547876,0.00006529573,0.0001726744,0.000021954165,0.0005176806,0.0004519299,0.00024972422,0.0000014222537],"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":[0.00008380359,0.00024162042,0.002624969,0.01724412,0.0041945362,0.01391176,0.016505484,0.6427607,0.038445678,0.24962202,0.0018782106,0.012487086],"study_design_scores_gemma":[0.00030071964,0.000033962755,0.00003525394,0.008984498,0.000013953301,0.004866965,0.0004578628,0.98273706,0.0001971683,0.0000103064385,0.0022323905,0.0001298362],"about_ca_topic_score_codex":0.00042301463,"about_ca_topic_score_gemma":8.1346167e-7,"teacher_disagreement_score":0.624201,"about_ca_system_score_codex":0.00029614725,"about_ca_system_score_gemma":0.00012092123,"threshold_uncertainty_score":0.59324515},"labels":[],"label_agreement":null},{"id":"W4408006693","doi":"10.18280/i2m.240106","title":"Using Circular Economy to Manage Organic and Inorganic Waste with Internet of Things-Based Monitoring System","year":2025,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Circular economy; Internet of Things; Business; The Internet; Waste management; Commerce; Environmental economics; Engineering; Computer science; Internet privacy; World Wide Web; Economics; Ecology","score_opus":0.017274094925554474,"score_gpt":0.2594306221321665,"score_spread":0.24215652720661202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408006693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59577775,0.00003191386,0.4030491,0.00031091034,0.00023776965,0.0001446864,3.7194508e-7,0.0000666524,0.00038083378],"genre_scores_gemma":[0.9561047,9.957512e-7,0.043432135,0.00038940462,0.000018695942,0.000007832038,9.853525e-7,0.000008053,0.00003721902],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899685,0.000064047694,0.00027922945,0.00033571443,0.00013605432,0.00018812646],"domain_scores_gemma":[0.9993897,0.00004131343,0.00016054092,0.0002753206,0.000087472916,0.000045672998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030764728,0.00014446324,0.00021411735,0.00023811839,0.000059363058,0.00017252636,0.00047902463,0.000058682763,0.0000035834416],"category_scores_gemma":[0.000017461103,0.00012822101,0.000032250126,0.00030564264,0.000031271647,0.00047630817,0.00020962747,0.00010463423,0.0000029903856],"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":[0.00050808303,0.00030824362,0.458382,0.0041717915,0.0014035783,0.0002136936,0.014547187,0.015102874,0.33963698,0.112225465,0.00028744977,0.05321262],"study_design_scores_gemma":[0.0027350085,0.00068418006,0.013001303,0.0012555348,0.00014196619,0.000044647793,0.0019561404,0.26920038,0.70890194,0.0011919488,0.00029659597,0.0005903768],"about_ca_topic_score_codex":0.000086658845,"about_ca_topic_score_gemma":0.0000018043928,"teacher_disagreement_score":0.44538072,"about_ca_system_score_codex":0.00017006203,"about_ca_system_score_gemma":0.00006214538,"threshold_uncertainty_score":0.5228701},"labels":[],"label_agreement":null},{"id":"W4408358584","doi":"10.1109/icses63760.2024.10910866","title":"Experimental Analysis of Learning Based Approach to Evaluate the Integration of Social Networking Platform with Internet of Things Technology","year":2024,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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":"SAIT Polytechnic","funders":"","keywords":"Internet of Things; Computer science; The Internet; World Wide Web","score_opus":0.024857699980470927,"score_gpt":0.28082563148180034,"score_spread":0.2559679315013294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408358584","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19556282,0.000047258512,0.79914975,0.0002614375,0.00006275415,0.000083561354,1.9774055e-7,0.000052590785,0.0047796317],"genre_scores_gemma":[0.9776995,2.257143e-7,0.021984316,0.00006370053,0.000013452457,0.000008292867,0.000002554735,0.000005007479,0.00022291414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991448,0.000025655449,0.00025363013,0.00020096125,0.000263024,0.0001119646],"domain_scores_gemma":[0.99960756,0.000045945548,0.000101157704,0.00014763454,0.00008560138,0.000012122138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048629934,0.00008780033,0.00022025334,0.00041619196,0.000031515185,0.000054227527,0.0005463246,0.000048216603,0.000017362361],"category_scores_gemma":[0.000009776639,0.00005034462,0.0001103012,0.0012954442,0.0000726423,0.00019329031,0.00018467211,0.00015269821,7.184236e-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":[0.00013363645,0.00024993817,0.0005657131,0.00008940198,0.0017546405,0.0000025215552,0.08288281,0.03293889,0.07198134,0.7592921,0.00045113315,0.049657833],"study_design_scores_gemma":[0.000067493864,0.00020654289,0.000039136885,0.000054430406,0.00007584001,9.46269e-7,0.0015064992,0.86739105,0.13038383,0.00011248488,0.00010852632,0.000053225667],"about_ca_topic_score_codex":0.00015081606,"about_ca_topic_score_gemma":0.000006314052,"teacher_disagreement_score":0.83445215,"about_ca_system_score_codex":0.000031303076,"about_ca_system_score_gemma":0.00002885081,"threshold_uncertainty_score":0.2052994},"labels":[],"label_agreement":null},{"id":"W4409335254","doi":"10.18280/isi.300322","title":"A Survey of the Advances in the Applications of Deep Learning Algorithms Across Different Domains","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Covenant University Centre for Research, Innovation and Discovery; Covenant University","keywords":"Computer science; Library science","score_opus":0.008598379949094256,"score_gpt":0.25995451932551067,"score_spread":0.25135613937641643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409335254","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18240516,0.00034885766,0.8128438,0.000092297,0.00016205497,0.0003304623,0.000007856856,0.000022616534,0.003786881],"genre_scores_gemma":[0.9990235,0.00003762702,0.00075783225,0.00009106567,0.0000053030267,0.000054169574,0.000006427229,0.0000013891291,0.00002266839],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990481,0.00012692873,0.0004227707,0.000068523426,0.00020004652,0.00013363315],"domain_scores_gemma":[0.9990373,0.00018234375,0.00032014406,0.00028008778,0.00017128362,0.000008842721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007599122,0.00007469656,0.00012600947,0.00007385886,0.00015650768,0.000109172994,0.00089663645,0.000036961326,0.0000010888712],"category_scores_gemma":[0.00016957438,0.00004376888,0.000048901016,0.00064410584,0.00010633714,0.0010550615,0.00020278728,0.00012689574,0.0000015380358],"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":[0.000011418026,0.00006276467,0.035998646,0.00034446546,0.000020940724,1.2150409e-7,0.041563842,0.0030598585,0.00005547911,0.07353097,0.000029210938,0.8453223],"study_design_scores_gemma":[0.00044778961,0.00007344384,0.844444,0.000326945,0.000006806191,0.000004565217,0.0034996143,0.1327035,0.0028500166,0.010181302,0.0053049545,0.00015708228],"about_ca_topic_score_codex":0.0002703971,"about_ca_topic_score_gemma":0.00026221143,"teacher_disagreement_score":0.8451652,"about_ca_system_score_codex":0.00005194102,"about_ca_system_score_gemma":0.000029168968,"threshold_uncertainty_score":0.1784843},"labels":[],"label_agreement":null},{"id":"W4409607258","doi":"10.3390/iot6020023","title":"A Lightweight Encryption Method for IoT-Based Healthcare Applications: A Review and Future Prospects","year":2025,"lang":"en","type":"review","venue":"IoT","topic":"Internet of Things and AI","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Clair College","funders":"National Institute of Standards and Technology","keywords":"Internet of Things; Computer science; Encryption; Health care; Computer security; Embedded system; Political science","score_opus":0.02261670005952168,"score_gpt":0.37478813663229804,"score_spread":0.3521714365727764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409607258","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":[6.3484723e-10,0.7320576,0.25681868,0.007590985,0.00021936305,0.0030291122,0.00002828354,0.000085286665,0.0001707405],"genre_scores_gemma":[8.2731e-9,0.7483844,0.2458316,0.0024961962,0.00038488186,0.0022799792,0.000030938292,0.0000130403805,0.0005789612],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982485,0.00013987534,0.00048274753,0.00072402897,0.00015946005,0.0002453439],"domain_scores_gemma":[0.99847615,0.00020667845,0.00038288438,0.00068691926,0.00015991704,0.00008744623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054479437,0.00032106548,0.0011630952,0.00015193323,0.00013465795,0.00014041603,0.00085237046,0.00023376272,0.000005701613],"category_scores_gemma":[0.00003556068,0.00023971101,0.00034556302,0.00047989874,0.000013485915,0.000048912574,0.00014956425,0.00028066785,0.000013356694],"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":[3.9450404e-7,0.0000136136305,2.309559e-8,0.13777728,0.000017558436,7.1091085e-7,0.000010741116,1.7823846e-8,4.5984965e-8,0.08745238,0.0035222732,0.77120495],"study_design_scores_gemma":[0.00007610855,0.0000538517,1.2633355e-7,0.03947826,0.00025823957,0.000013570415,5.0109065e-7,0.00017637551,0.0000018662204,0.0022229801,0.9574936,0.00022453238],"about_ca_topic_score_codex":0.000009585927,"about_ca_topic_score_gemma":0.0000043543914,"teacher_disagreement_score":0.9539713,"about_ca_system_score_codex":0.000102517435,"about_ca_system_score_gemma":0.0005341868,"threshold_uncertainty_score":0.97751313},"labels":[],"label_agreement":null},{"id":"W4411855376","doi":"10.20944/preprints202507.0076.v1","title":"Complete Factorial Design for Optimization of Operating Conditions for a Nanofiltration 90 Polymeric Membrane Treating High Concentration Sulfated Waters and Modeling Using Machine Learning","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"","keywords":"Nanofiltration; Factorial experiment; Fractional factorial design; Factorial; Sulfation; Membrane; Chromatography; Box–Behnken design; Computer science; Chemical engineering; Process engineering; Chemistry; Response surface methodology; Mathematics; Engineering; Machine learning; Biochemistry","score_opus":0.13884376119227107,"score_gpt":0.33601191523241125,"score_spread":0.19716815404014018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411855376","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2834633,0.000024394492,0.7144305,0.00008885528,0.0006002467,0.0011841296,0.00008940019,0.00009677083,0.00002237627],"genre_scores_gemma":[0.8056127,0.000018271023,0.19350967,0.000028179447,0.000110492176,0.0001323766,0.0005210201,0.000019255282,0.000048027465],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977687,0.00020157458,0.00076029624,0.0007735193,0.000200618,0.00029527588],"domain_scores_gemma":[0.99829596,0.0002874717,0.00060238276,0.00032179785,0.00043378706,0.000058597238],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006748515,0.0003098695,0.0004816122,0.00015295223,0.00043947864,0.00018220904,0.0004199385,0.00020740626,0.000010347416],"category_scores_gemma":[0.0003431235,0.00032844328,0.00013511152,0.0001295274,0.000041052077,0.00044940365,0.00045730502,0.0002599155,4.1486973e-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":[0.0000510494,0.000025369174,0.0008845529,0.00022282865,0.000079582736,2.2691654e-7,0.0013748099,0.80961305,0.18626006,0.0013996692,3.6517608e-7,0.00008842802],"study_design_scores_gemma":[0.0008316841,0.000059736307,0.000028116423,0.0003756769,0.0000808454,0.0000021001258,0.0000461471,0.86573666,0.13209544,0.00049078313,0.000003046074,0.00024977166],"about_ca_topic_score_codex":0.00091095886,"about_ca_topic_score_gemma":0.0000036296326,"teacher_disagreement_score":0.5221494,"about_ca_system_score_codex":0.00012747812,"about_ca_system_score_gemma":0.00019370875,"threshold_uncertainty_score":0.99991673},"labels":[],"label_agreement":null},{"id":"W4411948828","doi":"10.1109/iwcmc65282.2025.11059692","title":"Securing O-RAN Equipment Using Blockchain-Based Supply Chain Verification","year":2025,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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":"Institut National de la Recherche Scientifique; Université du Québec en Outaouais","funders":"","keywords":"Blockchain; Supply chain; Ran; Computer science; Computer security; Business; Computer network","score_opus":0.013640351403016462,"score_gpt":0.2562880271410789,"score_spread":0.24264767573806245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411948828","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2459892,0.000036496942,0.7431482,0.003207703,0.0004634668,0.00011625763,4.2718133e-7,0.00015630835,0.0068819528],"genre_scores_gemma":[0.9557185,3.9310555e-7,0.041205782,0.0016000472,0.000029796629,0.0000054423813,7.171339e-7,0.000003718609,0.0014355918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991979,0.000023453951,0.00016449713,0.00026356708,0.00014982083,0.00020073936],"domain_scores_gemma":[0.99951136,0.000030776508,0.000045439258,0.00033189598,0.00004507973,0.000035458863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023669894,0.0000912971,0.00008604183,0.00012810704,0.000105478306,0.00015038587,0.00053208007,0.000035244084,0.00003162482],"category_scores_gemma":[0.000014614757,0.00008467604,0.00005042718,0.00020492419,0.000014694409,0.000050869563,0.0001399087,0.00007076818,0.000014091254],"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":[0.000020041512,0.0002208002,0.0009423926,0.00010806452,0.000051636503,0.00001872104,0.0017984093,0.027984392,0.07002464,0.86342764,0.0019008046,0.033502463],"study_design_scores_gemma":[0.00021205304,0.00001925255,0.00020375269,0.00006927626,0.0000031540194,9.2335415e-7,0.000026926919,0.91898924,0.076671235,0.0010968114,0.002604222,0.00010312325],"about_ca_topic_score_codex":0.00014632201,"about_ca_topic_score_gemma":0.0000073444967,"teacher_disagreement_score":0.89100486,"about_ca_system_score_codex":0.00009050066,"about_ca_system_score_gemma":0.00006941099,"threshold_uncertainty_score":0.34529886},"labels":[],"label_agreement":null},{"id":"W4412558313","doi":"10.1007/978-981-96-6079-7_2","title":"IoT and Wireless Sensor Networks (WSNs)","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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":"York University","funders":"","keywords":"Wireless sensor network; Internet of Things; Computer network; Computer science; Key distribution in wireless sensor networks; Wireless; Wireless network; Embedded system; Telecommunications","score_opus":0.007343439026673413,"score_gpt":0.20118381790776815,"score_spread":0.19384037888109473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412558313","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":[0.000012646615,0.00026660503,0.16255881,0.0008268599,0.0007195936,0.00008963985,0.0000015554583,0.00014003892,0.83538425],"genre_scores_gemma":[0.0013227577,0.00013816844,0.009145556,0.0021458839,0.00020852985,0.0000013743464,0.0000019570718,0.000013065579,0.9870227],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899364,0.0000059932654,0.00019064588,0.0004573425,0.00015613556,0.00019622094],"domain_scores_gemma":[0.9993015,0.00005875226,0.0000855771,0.00042519334,0.00006010879,0.000068903275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000949315,0.00023766172,0.0002682206,0.00008916266,0.00006262158,0.00024603313,0.0006262743,0.0002538651,0.00011264871],"category_scores_gemma":[0.0000030389463,0.00020116525,0.000091442445,0.000018174798,0.000043789765,0.00006479017,0.0006691825,0.00032904858,0.00004395773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014648299,0.0000025649983,9.015053e-7,0.000017163748,0.000029697032,0.000029042505,0.00002504903,0.000013264044,0.0000024972292,0.9190242,0.031247718,0.049606383],"study_design_scores_gemma":[0.00017508972,0.00006281189,0.000009590181,0.00045088457,0.000022945333,0.000037132148,0.000002394143,0.19748098,0.000052569143,0.019040572,0.7821111,0.0005539035],"about_ca_topic_score_codex":0.000029814702,"about_ca_topic_score_gemma":0.000011622653,"teacher_disagreement_score":0.8999837,"about_ca_system_score_codex":0.000021792956,"about_ca_system_score_gemma":0.00003166702,"threshold_uncertainty_score":0.8203281},"labels":[],"label_agreement":null},{"id":"W4413204401","doi":"10.1109/icetea64585.2025.11099953","title":"IoT and Smart Sensor Based Waste Management System for Smart Cities","year":2025,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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":"Horizon College and Seminary","funders":"","keywords":"Internet of Things; Smart city; Computer science; Wireless sensor network; Intelligent sensor; Computer security; Embedded system; Computer network","score_opus":0.009087018376052816,"score_gpt":0.2173464713352998,"score_spread":0.20825945295924697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413204401","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":[0.0109883975,0.000040484483,0.9094191,0.0033434585,0.0008572413,0.0003175384,0.0000021845754,0.00019135994,0.074840195],"genre_scores_gemma":[0.7308185,0.0000018602005,0.17025068,0.003323047,0.000042200212,0.000056075718,0.0000011865554,0.000006849746,0.09549962],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993511,0.000014156241,0.00013350487,0.00023884105,0.0000938991,0.00016853496],"domain_scores_gemma":[0.99960935,0.000053232532,0.000027526305,0.00024025823,0.00003977587,0.00002985161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019012364,0.00008823161,0.00010973671,0.00009734092,0.00009011269,0.00021976688,0.00030116088,0.000024875735,0.0000043905898],"category_scores_gemma":[0.0000041667777,0.00007173102,0.00004775537,0.000076155105,0.000016915397,0.00006892886,0.00019401425,0.00003021736,0.0000072116454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015622625,0.000020913321,0.0002330107,0.0008255883,0.0000614567,0.000011680152,0.000118293894,0.0000565224,0.00012309854,0.9620138,0.026257064,0.010262961],"study_design_scores_gemma":[0.001435709,0.00014515872,0.00047227772,0.00058769557,0.000038184906,0.000006550614,0.0013918522,0.7921873,0.022503532,0.0021126682,0.17877045,0.00034864605],"about_ca_topic_score_codex":0.00004349568,"about_ca_topic_score_gemma":0.0000052379096,"teacher_disagreement_score":0.9599011,"about_ca_system_score_codex":0.000028961802,"about_ca_system_score_gemma":0.000011413227,"threshold_uncertainty_score":0.2925106},"labels":[],"label_agreement":null},{"id":"W4414365307","doi":"10.30574/ijsra.2025.16.3.2622","title":"A review on real-time waste tracking and route optimization using cloud-based IoT systems","year":2025,"lang":"en","type":"article","venue":"International Journal of Science and Research Archive","topic":"Internet of Things and AI","field":"Computer Science","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":"Waste collection; Data collection; TOPSIS; Sustainability; Truck; Multiple-criteria decision analysis; Decision support system; Smart city; Sustainable development","score_opus":0.04016622143518734,"score_gpt":0.37640742799960647,"score_spread":0.33624120656441914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414365307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5236497,0.009038655,0.41368443,0.0368645,0.004727698,0.0009854698,0.000023183811,0.0000494388,0.010976952],"genre_scores_gemma":[0.9354345,0.0050296807,0.0567472,0.0019786449,0.00049240247,0.000004719172,9.735371e-7,0.000009433101,0.0003024083],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977272,0.00014944047,0.00031627656,0.00023589097,0.0013426347,0.00022855397],"domain_scores_gemma":[0.99769014,0.00030162605,0.00018530696,0.00012810768,0.0015752992,0.00011949939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041183787,0.000077660676,0.00015332928,0.00088299555,0.00027841356,0.0006523523,0.0012281346,0.000018562541,0.000002502465],"category_scores_gemma":[0.0006664058,0.000056580946,0.000039332706,0.00049683405,0.00054219086,0.000324361,0.00034782605,0.00027840846,0.0000013082242],"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":[0.0007561908,0.00070934655,0.0011804162,0.0015173028,0.00043646537,0.0009117639,0.004662916,0.38321066,0.22409925,0.22505106,0.01899529,0.13846934],"study_design_scores_gemma":[0.0003047242,0.00019465318,0.000118464915,0.007194565,0.0000050448066,0.00010600539,0.00007295464,0.9883898,0.0014237226,0.0012697757,0.0008509473,0.000069377114],"about_ca_topic_score_codex":0.000080157224,"about_ca_topic_score_gemma":7.689138e-7,"teacher_disagreement_score":0.60517913,"about_ca_system_score_codex":0.00014965454,"about_ca_system_score_gemma":0.00063677883,"threshold_uncertainty_score":0.6290648},"labels":[],"label_agreement":null},{"id":"W4415412231","doi":"10.1007/978-3-032-03527-1_23","title":"An AI Powered Autonomous Dustbin for Smart Hygiene Management with Waste Segregation and Mosquito Prevention","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Internet of Things and AI","field":"Computer Science","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":"Horizon College and Seminary","funders":"","keywords":"Hygiene; Sustainability; Control (management); Automation; Management system; Internet of Things; Bluetooth","score_opus":0.007658592060397419,"score_gpt":0.22859471674034304,"score_spread":0.2209361246799456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415412231","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":[0.00018760348,0.0034789387,0.9868225,0.00033617901,0.0009751395,0.0012518752,0.0000055508062,0.00006572453,0.0068764854],"genre_scores_gemma":[0.92838466,0.0006573722,0.011512443,0.00068344444,0.00072105776,0.0001941363,0.00012479167,0.000071027396,0.057651088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851984,0.000035654615,0.00035536118,0.0006581337,0.00017028334,0.0002607096],"domain_scores_gemma":[0.99915206,0.00007596938,0.00022465948,0.00040554345,0.00008024895,0.00006150041],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003524224,0.0003222095,0.00040695484,0.00017683848,0.00010831189,0.00050739857,0.00031053735,0.00033062143,0.0000016271146],"category_scores_gemma":[0.0000044002322,0.00026012852,0.00005439378,0.000059096117,0.000032734948,0.0002091891,0.00013378718,0.0002681039,2.886303e-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":[0.00016965368,0.00005132854,0.000088814406,0.0013161035,0.00030922107,0.00007039184,0.0005548758,0.121076174,0.0000068270087,0.5218839,0.0012654596,0.35320723],"study_design_scores_gemma":[0.00070390967,0.0006089276,0.000028559323,0.0027243255,0.00006626064,0.000039684117,0.000007994921,0.9594546,0.000008158889,0.019621821,0.016300632,0.00043512168],"about_ca_topic_score_codex":0.000060579114,"about_ca_topic_score_gemma":0.00018732593,"teacher_disagreement_score":0.9753101,"about_ca_system_score_codex":0.00007419965,"about_ca_system_score_gemma":0.00002764123,"threshold_uncertainty_score":0.9999851},"labels":[],"label_agreement":null},{"id":"W4416583083","doi":"10.1109/iccams65118.2025.11234507","title":"AI-Driven Automated Assessment and Evaluation System Using NLP and Machine Learning","year":2025,"lang":"","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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":"Horizon College and Seminary; Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Automation; Syntax; Control (management); Architecture; Key (lock); Natural language","score_opus":0.02980934181314414,"score_gpt":0.3490418992183873,"score_spread":0.31923255740524314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416583083","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38503253,0.0013674219,0.6006138,0.0025781947,0.0013823425,0.00066101114,0.0000018627959,0.00053804443,0.00782482],"genre_scores_gemma":[0.9765202,0.000028523664,0.022063669,0.0004128973,0.00003546967,0.0000055659807,0.0000024495166,0.000008862663,0.0009223805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977921,0.00038915497,0.00043827487,0.00062196376,0.0004542512,0.00030423142],"domain_scores_gemma":[0.9991004,0.00007765719,0.00019535323,0.0002433173,0.00029342866,0.0000898372],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0014938173,0.00024021365,0.00030962113,0.00022902609,0.00049363734,0.001254246,0.00027262355,0.00011407487,0.0000365893],"category_scores_gemma":[0.000031146574,0.00021946325,0.00004509989,0.0003010383,0.00006253391,0.00060837617,0.00079096085,0.00032313424,0.0000035260155],"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":[0.000064035354,0.00033532342,0.06267016,0.0032173784,0.0009858885,0.00008573893,0.0061432756,0.103048325,0.016606336,0.43526155,0.0016504251,0.36993158],"study_design_scores_gemma":[0.0007103433,0.00012701297,0.006141761,0.00094602304,0.00012795681,0.000041481046,0.00018880326,0.99078643,0.00027431516,0.00012110457,0.00032216046,0.00021262128],"about_ca_topic_score_codex":0.00062232465,"about_ca_topic_score_gemma":0.00001839548,"teacher_disagreement_score":0.8877381,"about_ca_system_score_codex":0.00034425734,"about_ca_system_score_gemma":0.00027315595,"threshold_uncertainty_score":0.99978256},"labels":[],"label_agreement":null},{"id":"W4416684075","doi":"10.1007/978-981-95-4972-6","title":"AI 2025: Advances in Artificial Intelligence","year":2025,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Beijing Institute of Technology; University of South Australia; Victoria University; RMIT University; Monash University; Griffith University; Deakin University; University of Western Sydney; Harbin Institute of Technology; University of New South Wales; University of Technology Sydney; Victoria University of Wellington; Macquarie University; Singapore Management University; Zhejiang Normal University; York University; La Trobe University; University of Minnesota; Commonwealth Scientific and Industrial Research Organisation; Auckland University of Technology, New Zealand; University of Otago","keywords":"","score_opus":0.013227663653576405,"score_gpt":0.28171787993378167,"score_spread":0.26849021628020525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416684075","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000010637546,0.0017636247,0.98294544,0.003299045,0.0044860807,0.00031159903,0.0000029124872,0.00011824887,0.0070623844],"genre_scores_gemma":[0.08369339,0.0007935735,0.87420505,0.029511629,0.0023843923,0.00007387679,0.00001650734,0.000072263116,0.009249336],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956198,0.00006530341,0.0007650113,0.0017676563,0.0009086729,0.00087358226],"domain_scores_gemma":[0.9977505,0.0005084113,0.00023559797,0.0011753133,0.00021592817,0.00011424999],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0010942277,0.0005123304,0.00059557095,0.0014459032,0.0001587961,0.0008780781,0.0060870945,0.0003278301,0.000020830783],"category_scores_gemma":[0.00020085552,0.00047842375,0.00014157125,0.002000454,0.00055057264,0.0014221396,0.0021632465,0.0014071203,0.00006247309],"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":[0.000005541142,0.00004739674,0.000018166265,0.000063845655,0.0000028392597,0.00009933181,0.0005727091,0.039071076,0.000015327021,0.060537808,0.000251129,0.8993148],"study_design_scores_gemma":[0.000043939126,0.00009254312,0.00001305454,0.00086702895,0.0000022075394,0.000012266959,2.4697232e-7,0.47526076,0.00179615,0.512535,0.008926375,0.0004504686],"about_ca_topic_score_codex":0.00004178289,"about_ca_topic_score_gemma":0.0003619809,"teacher_disagreement_score":0.8988644,"about_ca_system_score_codex":0.0006038277,"about_ca_system_score_gemma":0.0016982004,"threshold_uncertainty_score":0.99976677},"labels":[],"label_agreement":null},{"id":"W6889202130","doi":"10.25416/ntr.25795480","title":"Fostering Inclusivity: Pedagogical Approaches and Recommendations for Supporting International Students in Higher Education: An Infographic","year":2024,"lang":"en","type":"other","venue":"Edge Hill University","topic":"Internet of Things and AI","field":"Computer Science","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":"Compendium; Infographic; International education; Higher education; Diversification (marketing strategy); Cultural diversity; China; Study abroad","score_opus":0.15300230202295118,"score_gpt":0.3564041381889071,"score_spread":0.20340183616595592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6889202130","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":[0.003288663,0.00044466715,0.014195136,0.020751245,0.00973638,0.00097495667,0.00010569965,0.0005544159,0.94994885],"genre_scores_gemma":[0.065752745,0.000050260795,0.013320734,0.00045050567,0.0006575869,0.0000066005055,0.00011356183,0.00007727906,0.91957074],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916774,0.000040768984,0.00012008716,0.00040518632,0.00013069043,0.00013553732],"domain_scores_gemma":[0.9995837,0.000022231818,0.0001159667,0.0001854549,0.000026112002,0.000066497116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024917393,0.00013195959,0.0001369485,0.00046236705,0.000059672766,0.00019286733,0.0006770264,0.0001224527,0.0001613002],"category_scores_gemma":[0.000008606131,0.00014379216,0.000054262,0.00014626878,0.000031535823,0.0003396981,0.0019279008,0.00018269493,0.000008868822],"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":[0.000026500069,0.00082044787,0.003582636,0.00036731292,0.00026011327,0.000081757375,0.009194316,0.00000267173,0.0000065447593,0.34094283,0.48791382,0.15680107],"study_design_scores_gemma":[0.0002185684,0.00003503205,0.0005752631,0.00021047918,0.000014476805,0.0000065918744,0.00042351006,0.00069074857,8.923504e-7,0.0024492466,0.99517876,0.00019641532],"about_ca_topic_score_codex":0.00012106512,"about_ca_topic_score_gemma":0.00015631589,"teacher_disagreement_score":0.507265,"about_ca_system_score_codex":0.00008595691,"about_ca_system_score_gemma":0.00005322393,"threshold_uncertainty_score":0.5863674},"labels":[],"label_agreement":null},{"id":"W6889664092","doi":"10.25919/8a9n-3157","title":"Parkes observations for project P885 semester 2023APRS_03","year":2023,"lang":"en","type":"dataset","venue":"CSIRO","topic":"Internet of Things and AI","field":"Computer Science","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":"McGill University","funders":"","keywords":"Event (particle physics); Track (disk drive); Swift; Flux (metallurgy); Cadence","score_opus":0.09887006865136204,"score_gpt":0.32475018414699575,"score_spread":0.2258801154956337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6889664092","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00001361357,0.000057069963,0.007904096,0.0015084286,0.003038442,0.0005488221,0.9866594,0.0001945683,0.000075538206],"genre_scores_gemma":[4.5383365e-7,0.00006131358,0.008262981,0.0014907802,0.000613215,0.00030192538,0.9757935,0.000025781661,0.013450098],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985594,0.00002857169,0.00028161556,0.0005293724,0.0002436496,0.00035737353],"domain_scores_gemma":[0.998599,0.00019419678,0.00017050139,0.0008775733,0.00010987187,0.000048836384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025896876,0.00024129672,0.00026316725,0.00016278368,0.00013548958,0.00040468085,0.0018450494,0.00019494293,5.825991e-7],"category_scores_gemma":[0.00017281013,0.0002126573,0.0001838832,0.00026876488,0.00002752638,0.00030111725,0.0005424242,0.00021315832,0.000062749015],"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":[0.0000020808773,0.000024249028,0.000002226942,0.0001231609,0.000030610234,0.000011034023,0.00004705705,0.0000028379022,0.000004535374,0.00064224313,0.9987922,0.0003178068],"study_design_scores_gemma":[0.00013368676,0.00007165944,0.00007035307,0.00012191286,0.000021120455,0.000003948949,0.00000646173,0.00133721,0.00001832678,0.0010547049,0.99689287,0.00026777238],"about_ca_topic_score_codex":0.00031389363,"about_ca_topic_score_gemma":0.00011665744,"teacher_disagreement_score":0.01337456,"about_ca_system_score_codex":0.000036469308,"about_ca_system_score_gemma":0.00014218075,"threshold_uncertainty_score":0.86719126},"labels":[],"label_agreement":null},{"id":"W6890023890","doi":"10.3389/fnmol.2020.00145.s001","title":"Table_1_Impacts of AD-Related ABCA7 and CLU Variants on Default Mode Network Connectivity in Healthy Middle-Age Adults.DOCX","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Internet of Things and AI","field":"Computer Science","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":"Default mode network; Cuneus; Posterior cingulate; Superior frontal gyrus; Functional connectivity; Neuropsychology; Prefrontal cortex; Middle frontal gyrus; Precuneus; Brain Structure and Function","score_opus":0.03501186792691778,"score_gpt":0.26826999378792393,"score_spread":0.23325812586100614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6890023890","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014628719,0.00037970662,0.000012259554,0.00033998254,0.00031648105,0.00043616843,0.9981698,0.00006277797,0.00013658614],"genre_scores_gemma":[0.0062879613,0.000045658973,0.00022488683,0.0018307953,0.00010503533,0.000043369506,0.9914049,0.000023292494,0.000034104414],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997451,0.00015991926,0.0005506979,0.00083189266,0.00040107407,0.00060538284],"domain_scores_gemma":[0.9979981,0.00034191436,0.000542003,0.00074239646,0.00010252353,0.0002730643],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015541495,0.00042044462,0.00070235,0.00016106266,0.000085943626,0.00018191585,0.0013367212,0.00046130753,0.0030961316],"category_scores_gemma":[0.0011362382,0.00040720592,0.00010334535,0.0005013875,0.0000139008125,0.00035267786,0.0008836802,0.0009935565,0.00059804483],"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":[0.00011477222,0.00009085945,0.000001160153,0.00074901734,0.000029602195,0.00024883286,0.00017719294,0.00063846953,6.71061e-7,0.000038075,0.9972335,0.0006778314],"study_design_scores_gemma":[0.0017438127,0.0014093522,0.0009334509,0.021503378,0.000018295113,0.00004196213,0.000010747147,0.053909343,0.00001926239,0.00045920367,0.919099,0.0008522118],"about_ca_topic_score_codex":0.0008066717,"about_ca_topic_score_gemma":0.0005752304,"teacher_disagreement_score":0.07813454,"about_ca_system_score_codex":0.000092305585,"about_ca_system_score_gemma":0.000255683,"threshold_uncertainty_score":0.999838},"labels":[],"label_agreement":null},{"id":"W6890030865","doi":"10.3389/fnagi.2023.1181160.s001","title":"Data_Sheet_1_Efficacy of acupuncture and pharmacological therapies for vascular cognitive impairment with no dementia: a network meta-analysis.docx","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Internet of Things and AI","field":"Computer Science","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":"Acupuncture; Electroacupuncture; Nimodipine; Randomized controlled trial; Dementia; Piracetam; Vascular dementia; Placebo","score_opus":0.07522092734160081,"score_gpt":0.3160637556910266,"score_spread":0.24084282834942583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6890030865","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000013185584,0.0027133804,0.0008493924,0.00012212942,0.0000839416,0.0010073655,0.99515706,0.000058660175,0.000006732759],"genre_scores_gemma":[0.000077699086,0.00006374841,0.0014907431,0.00079377583,0.00018301416,0.00085069844,0.9964511,0.000017793336,0.00007145751],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978312,0.000107236316,0.00035568638,0.0008141538,0.00048168862,0.00041000053],"domain_scores_gemma":[0.99794316,0.0005901205,0.00046387958,0.0005374461,0.00036309153,0.000102273334],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025892167,0.0005405078,0.0014420241,0.00014483542,0.00012404271,0.0002701412,0.0013247206,0.00020472585,0.020817064],"category_scores_gemma":[0.00014791844,0.00027093658,0.001070928,0.00049708335,0.000023226505,0.00020809051,0.0010396331,0.00031153878,0.00025232768],"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":[0.000029231991,0.00006753702,3.1559924e-7,0.00021181896,0.13170117,0.000029355695,0.000026450949,0.00011716582,3.7004423e-7,0.0000036263366,0.86775106,0.000061888575],"study_design_scores_gemma":[0.0005221062,0.0004948194,0.00005305865,0.0002107385,0.10174019,0.000003553044,0.000008857498,0.0020812303,0.000011466253,0.000025363533,0.8944709,0.00037774345],"about_ca_topic_score_codex":0.000035399855,"about_ca_topic_score_gemma":0.000049353424,"teacher_disagreement_score":0.029960983,"about_ca_system_score_codex":0.000015043895,"about_ca_system_score_gemma":0.000066064684,"threshold_uncertainty_score":0.9999743},"labels":[],"label_agreement":null},{"id":"W6890300908","doi":"10.34943/3c29d874-eaee-45b6-b956-21cce18caa0b","title":"CCGS Vector Acoustic Doppler Current Profiler 150 kHz Deployed 2017-10-30","year":2018,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Internet of Things and AI","field":"Computer Science","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":"Acoustic Doppler current profiler; Doppler effect; Current (fluid); Coast guard; Mooring; Buoy; Doppler frequency","score_opus":0.010967680862453203,"score_gpt":0.22869322885851173,"score_spread":0.21772554799605853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6890300908","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000048862807,0.002194128,0.013476022,0.0008337777,0.017552523,0.0008077012,0.9647554,0.00028093485,0.00005060817],"genre_scores_gemma":[0.0011837609,0.0010734707,0.0019270472,0.0059432453,0.008246699,0.000030967018,0.9787707,0.0001306886,0.0026934643],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99549824,0.0001029219,0.00063422025,0.0012751113,0.001169856,0.0013196287],"domain_scores_gemma":[0.9967637,0.0001457846,0.0005710741,0.0017103029,0.00032160507,0.0004875197],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044262057,0.0008154526,0.00068912876,0.000040708666,0.0004664991,0.00055095844,0.0036096827,0.0005340425,0.0004329286],"category_scores_gemma":[0.000041032057,0.0007354791,0.00046535162,0.00034199088,0.00017836482,0.00028211772,0.0011215444,0.0014597616,0.000028963153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046191876,0.00005273868,0.0000031798663,0.00014836897,0.000159384,0.000037251662,0.00005533139,0.0005795547,4.07384e-7,0.00002387284,0.9986454,0.00028986772],"study_design_scores_gemma":[0.0002818204,0.00006888198,0.0000276392,0.0002991071,0.00009314854,0.000023099186,0.000010890955,0.05617224,0.0000027516724,0.000019512667,0.94217384,0.00082705915],"about_ca_topic_score_codex":0.085265554,"about_ca_topic_score_gemma":0.10440484,"teacher_disagreement_score":0.056471575,"about_ca_system_score_codex":0.0008152125,"about_ca_system_score_gemma":0.001941936,"threshold_uncertainty_score":0.99950963},"labels":[],"label_agreement":null},{"id":"W6892107054","doi":"10.5061/dryad.5x69p8d2x","title":"2D and 3D coral models imaged in Curaçao: George, Mullinix, et al PeerJ 2021","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Internet of Things and AI","field":"Computer Science","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":"Coral; Benthic zone; Perimeter; Competition (biology); Ecosystem; Proxy (statistics)","score_opus":0.0412775270818959,"score_gpt":0.3272348920430919,"score_spread":0.285957364961196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6892107054","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016936599,0.0005301201,0.0032706854,0.004936769,0.0011701393,0.00054394134,0.9851988,0.0000023169475,0.002653544],"genre_scores_gemma":[0.00021937175,0.000469884,0.09273383,0.0041159433,0.00010992562,0.000033653414,0.89571625,0.000028135815,0.0065729944],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977501,0.00015681425,0.00040128763,0.00096559274,0.00035451134,0.0003716814],"domain_scores_gemma":[0.9986047,0.000091634305,0.00020195002,0.0008902722,0.000088927896,0.00012250284],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008210638,0.00031404174,0.0005176571,0.00012687892,0.00007721576,0.0018841999,0.0024788228,0.00018459123,0.0013247574],"category_scores_gemma":[0.000062106614,0.000304003,0.000073537296,0.00016892758,0.000059645812,0.0011844736,0.00350275,0.0007517367,0.00034863013],"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":[0.000010055648,0.00008633783,0.0000027915821,0.000008827879,0.000018461604,0.00050318096,0.00019679166,0.00009925144,0.000011250145,0.000042626034,0.9863262,0.012694228],"study_design_scores_gemma":[0.00048622556,0.000047269386,0.00001190394,0.00024065195,0.000011932581,0.00005058441,0.0000317184,0.02948732,0.000060002963,0.00017222668,0.9690184,0.0003817666],"about_ca_topic_score_codex":0.0017928997,"about_ca_topic_score_gemma":0.0009886908,"teacher_disagreement_score":0.08948256,"about_ca_system_score_codex":0.000038788203,"about_ca_system_score_gemma":0.00026961407,"threshold_uncertainty_score":0.99994123},"labels":[],"label_agreement":null},{"id":"W6892849893","doi":"10.5281/zenodo.13150453","title":"Essential Keto Gummies Canada (ATTENTION!) reviews,price","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Internet of Things and AI","field":"Computer Science","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":"Ketosis; Energy expenditure; Health benefits; Popularity; Weight loss; Purchasing; Ketogenic diet","score_opus":0.017789129014305922,"score_gpt":0.23318026334122932,"score_spread":0.2153911343269234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6892849893","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":[0.000004125404,0.0017799335,0.01885046,0.0017440714,0.0011608956,0.00035522316,0.0001241111,0.00097274,0.9750084],"genre_scores_gemma":[0.00060154014,0.00057870604,0.0011120857,0.0004488324,0.0006815628,6.048502e-8,0.00040240743,0.0035882848,0.9925865],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99796814,0.0002006163,0.00028835709,0.00064912374,0.00051714334,0.00037660543],"domain_scores_gemma":[0.9987132,0.0000070816727,0.0001932276,0.0007454222,0.00018908271,0.00015198403],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00045152556,0.00023859425,0.00025116306,0.00027984427,0.00050891016,0.0017516254,0.0027366872,0.00009780478,0.035381038],"category_scores_gemma":[0.00018094158,0.00023046191,0.00009693823,0.00045430855,0.0000711471,0.00017381896,0.0025091057,0.000381111,0.05645432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016394,0.0000198548,4.322906e-8,0.00022684158,0.000045049477,0.000042001233,0.00011593806,7.416858e-7,0.00008093174,0.011868842,0.9739455,0.013652618],"study_design_scores_gemma":[0.0000907878,0.00003871231,0.0000033850768,0.00035132185,0.000015182564,0.00006658324,0.000020564168,0.00020153339,0.000025605716,0.00017219842,0.9987625,0.0002516422],"about_ca_topic_score_codex":0.007844524,"about_ca_topic_score_gemma":0.00040035983,"teacher_disagreement_score":0.024816984,"about_ca_system_score_codex":0.00020959339,"about_ca_system_score_gemma":0.000011267291,"threshold_uncertainty_score":0.9992846},"labels":[],"label_agreement":null},{"id":"W6902224787","doi":"10.6084/m9.figshare.27261117","title":"Evaluating Wireless Network Technologies (3G, 4G, 5G) and Their Infrastructure A Systematic Review.pdf","year":2024,"lang":"en","type":"preprint","venue":"Figshare","topic":"Internet of Things and AI","field":"Computer Science","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":"Wireless network; Key (lock); Personalization; Wireless; Emerging technologies; Wireless WAN","score_opus":0.03142617687690192,"score_gpt":0.29710192965248117,"score_spread":0.26567575277557925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902224787","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":[0.0018203702,0.8825601,0.0015930792,0.008477918,0.005241242,0.014233322,0.05875917,0.009570689,0.017744148],"genre_scores_gemma":[0.80327946,0.010634742,0.0756768,0.015041387,0.0048075956,0.023242643,0.053482596,0.0008505343,0.012984219],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99768794,0.000114118346,0.0005595177,0.00083571515,0.00041868174,0.00038400793],"domain_scores_gemma":[0.9977634,0.00018875682,0.0005177871,0.0012172811,0.00026130822,0.000051451178],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00045102966,0.00047313448,0.0008826448,0.00010559457,0.0001092113,0.0012932323,0.0030003341,0.00038746325,0.0025035143],"category_scores_gemma":[0.0015578001,0.00032740645,0.00021697428,0.0002849691,0.000013835721,0.00017170256,0.011140114,0.001342453,0.00078208337],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.470063e-7,0.000004627577,0.0000015040447,0.6369041,0.00013560647,0.000026189187,0.0004196728,0.00026811438,0.000011501723,0.0005177958,0.35152787,0.0101823835],"study_design_scores_gemma":[0.000038153485,0.000035314817,0.000011830297,0.8483939,0.00006328274,0.00007947029,0.00004401851,0.12616847,0.00010183684,0.02290122,0.00173191,0.00043058375],"about_ca_topic_score_codex":0.0000053157037,"about_ca_topic_score_gemma":0.000002710591,"teacher_disagreement_score":0.8719253,"about_ca_system_score_codex":0.00010900354,"about_ca_system_score_gemma":0.00021171679,"threshold_uncertainty_score":0.99999595},"labels":[],"label_agreement":null},{"id":"W6920706430","doi":"10.6084/m9.figshare.16779532.v1","title":"Additional file 2 of Validation and refinement of the Stakeholder-driven Community Diffusion Survey for childhood obesity prevention","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Internet of Things and AI","field":"Computer Science","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":"Childhood obesity; Test (biology); Field (mathematics); Data collection; Diffusion; Sample (material)","score_opus":0.08051248553530106,"score_gpt":0.2521118691642595,"score_spread":0.17159938362895844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920706430","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010085641,0.000005987518,0.00009425573,0.00004138447,0.000020118101,0.00011699655,0.9894356,0.0000072495345,0.0001927494],"genre_scores_gemma":[0.13379543,5.1235577e-7,0.002265526,0.00005044802,0.000015838132,0.00008955397,0.8631212,0.0000035020473,0.0006579665],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9994574,0.00014669485,0.00012332574,0.00008711948,0.00013066077,0.000054768854],"domain_scores_gemma":[0.9988169,0.00054505083,0.00016867576,0.00022929518,0.00022642191,0.000013661457],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000070844326,0.000045233646,0.00007320999,0.000012844774,0.00010403639,0.000025112817,0.00026336993,0.00002735049,0.39835426],"category_scores_gemma":[0.00111622,0.000036484533,0.00004940239,0.000076781,0.0000048345414,0.00010276389,0.0003859113,0.000070665345,0.000006112175],"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":[9.591461e-7,0.000167793,0.000028979179,0.0000594582,0.0000066250477,5.4657487e-8,0.00014972423,0.0000052001474,0.000044876644,0.00003182314,0.9985437,0.00096083584],"study_design_scores_gemma":[0.00034335087,0.0001439798,0.8594672,0.0034350548,0.0000050564213,0.0000032413523,0.000034376175,0.002785924,0.0103951655,0.00077686587,0.12249359,0.00011618859],"about_ca_topic_score_codex":0.000013455378,"about_ca_topic_score_gemma":0.00008856587,"teacher_disagreement_score":0.87605006,"about_ca_system_score_codex":0.000010189389,"about_ca_system_score_gemma":0.0000568656,"threshold_uncertainty_score":0.60219574},"labels":[],"label_agreement":null},{"id":"W6925526556","doi":"10.17611/dp/15438778","title":"Magnetotelluric Transfer Functions","year":2017,"lang":"en","type":"other","venue":"NSF Seismological Facility for the Advancement of Geoscience (SAGE)","topic":"Internet of Things and AI","field":"Computer Science","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":"Geological Survey of Canada","funders":"","keywords":"Magnetotellurics; Transfer function; Field (mathematics); Transfer (computing); Interpretation (philosophy)","score_opus":0.026732182493342502,"score_gpt":0.2659308273375706,"score_spread":0.23919864484422812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6925526556","genre_codex":"methods","genre_gemma":"other","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":[0.00004827853,0.0011369389,0.9899062,0.0034067854,0.0018493277,0.00096676574,0.00044228358,0.00017515945,0.0020682926],"genre_scores_gemma":[0.0022810183,0.00073495007,0.0073645366,0.0009120394,0.000101281104,0.0001235078,0.0000188956,0.000026459425,0.9884373],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973636,0.000059471415,0.0003824456,0.000926206,0.0006443699,0.00062390964],"domain_scores_gemma":[0.99779886,0.00019438245,0.0002545681,0.0015598867,0.00007484312,0.00011745786],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007540064,0.00039142536,0.0004941039,0.00011320747,0.0004890504,0.00016396571,0.003513394,0.00023826385,0.000546556],"category_scores_gemma":[0.00014580195,0.00024580822,0.00038358886,0.00018340802,0.0007880763,0.00031208355,0.0004883063,0.00028864853,0.00008376956],"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":[0.00001785592,0.00014255976,0.000012549403,0.000069727874,0.000029217932,0.0000040463074,0.00005021753,0.00007009423,0.00009602446,0.0046081315,0.00027482986,0.99462473],"study_design_scores_gemma":[0.0003171868,0.00047606215,0.00012373437,0.000105824416,0.000033673525,0.0000052235764,0.000013869657,0.0021396452,0.00015280819,0.0009439636,0.99538195,0.00030603487],"about_ca_topic_score_codex":0.0003858918,"about_ca_topic_score_gemma":0.000028843951,"teacher_disagreement_score":0.9951071,"about_ca_system_score_codex":0.00005617616,"about_ca_system_score_gemma":0.00007873264,"threshold_uncertainty_score":0.9999994},"labels":[],"label_agreement":null},{"id":"W6926507974","doi":"10.25384/sage.25034983","title":"sj-docx-1-cms-10.1177_12034754231223451 – Supplemental material for Hidradenitis Suppurativa Patient Referrals to a Canadian Community Dermatology Practice: A Retrospective Chart Review","year":2024,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Internet of Things and AI","field":"Computer Science","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":"Hidradenitis suppurativa; Retrospective cohort study; Chart; MEDLINE; Referral","score_opus":0.05970780467339926,"score_gpt":0.3625428174083981,"score_spread":0.30283501273499885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926507974","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019279493,0.04781158,0.02148541,0.83952594,0.007632468,0.0043776673,0.07145842,0.00041133488,0.0053692292],"genre_scores_gemma":[0.9058949,0.016321724,0.045154393,0.023918359,0.0012896195,0.0003712817,0.0052672885,0.00014241957,0.0016400419],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967505,0.0006214322,0.0007856071,0.0006059887,0.00046845298,0.0007680286],"domain_scores_gemma":[0.99702275,0.00026726435,0.00025369765,0.0016554767,0.00030010994,0.00050070236],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007202306,0.00031370996,0.00052649365,0.0002771223,0.00056696346,0.0014174049,0.0031580483,0.00010306245,0.01108402],"category_scores_gemma":[0.0008718135,0.00027873728,0.00012633747,0.0003965143,0.000043629072,0.0030486067,0.0016947369,0.00071994076,0.00028245815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026384027,0.0000817191,0.00001142262,0.00028013907,0.00015051298,0.0019612662,0.0015560357,1.2161952e-7,0.00046538402,0.001140287,0.96993357,0.024393147],"study_design_scores_gemma":[0.00028811366,0.00045159622,0.00004888363,0.0048606633,0.000087452245,0.01352124,0.00036249697,0.00073538517,0.0011657194,0.001209082,0.97686684,0.0004025449],"about_ca_topic_score_codex":0.02353064,"about_ca_topic_score_gemma":0.023560101,"teacher_disagreement_score":0.9039669,"about_ca_system_score_codex":0.00053582387,"about_ca_system_score_gemma":0.000694613,"threshold_uncertainty_score":0.9999665},"labels":[],"label_agreement":null},{"id":"W6931246748","doi":"10.5281/zenodo.4662358","title":"https://sites.google.com/view/lisa-laflammecbdgummiesca/","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Internet of Things and AI","field":"Computer Science","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":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Hyporeflexia; Triacetin; Fusible alloy","score_opus":0.032896663745366206,"score_gpt":0.23833018795796196,"score_spread":0.20543352421259575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931246748","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":[0.011441574,0.00063344097,0.20944893,0.01591027,0.00090442586,0.00047001973,0.000066462264,0.0029261068,0.7581988],"genre_scores_gemma":[0.89770734,0.00038974217,0.01586051,0.004620319,0.0009041152,1.3314117e-7,0.0013531309,0.0025249,0.07663978],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977606,0.00030370854,0.00029689295,0.0006363924,0.00050476677,0.0004976543],"domain_scores_gemma":[0.99799275,0.000027538345,0.00011194361,0.0008892422,0.0007625668,0.00021597174],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006285969,0.0001786036,0.00018678707,0.00015874633,0.001530124,0.0023441843,0.002474652,0.000073744784,0.014101559],"category_scores_gemma":[0.00050856237,0.00018739146,0.0001030564,0.0007381135,0.00009451194,0.0007319194,0.003458783,0.00036773147,0.01966653],"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":[0.000013354313,0.0001939579,0.0000047652256,0.000061878454,0.000054199016,0.00017666162,0.0017186772,0.000038958133,0.011360523,0.13212058,0.68456364,0.16969283],"study_design_scores_gemma":[0.00032499075,0.00010663255,0.00017505138,0.00003929513,0.000006244464,0.0002178351,0.000102032,0.0036798997,0.00451384,0.0009987457,0.98960537,0.00023007952],"about_ca_topic_score_codex":0.00000926374,"about_ca_topic_score_gemma":3.168741e-7,"teacher_disagreement_score":0.8862658,"about_ca_system_score_codex":0.00012091977,"about_ca_system_score_gemma":0.000008333343,"threshold_uncertainty_score":0.99976975},"labels":[],"label_agreement":null},{"id":"W6931493445","doi":"10.5281/zenodo.7646157","title":"tati-micheletti/NWT: Will This Umbrella Leak? A Caribou Umbrella Index for Boreal Bird Conservation","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Internet of Things and AI","field":"Computer Science","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; Canadian Forest Service","funders":"","keywords":"clone (Java method); Index (typography); Download; Code (set theory); Work (physics)","score_opus":0.03181668463671813,"score_gpt":0.2554460024910632,"score_spread":0.22362931785434506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931493445","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":[0.000050617215,0.00031769753,0.20084144,0.007052238,0.0013794296,0.0019174726,0.0009775066,0.012149962,0.7753136],"genre_scores_gemma":[0.008928746,0.0008317764,0.008315934,0.0038342422,0.0020027496,0.0000015469113,0.0034880969,0.040585354,0.93201154],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970859,0.00023143154,0.0004301327,0.00095723115,0.00064721546,0.0006480653],"domain_scores_gemma":[0.99779665,0.00007440309,0.00040886345,0.0009212699,0.0005928518,0.00020593194],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00081814174,0.00037311568,0.0003701745,0.00060742104,0.0009957982,0.0016384696,0.002992588,0.0003166949,0.0034975351],"category_scores_gemma":[0.0005592076,0.00039687418,0.00016501136,0.0007583243,0.0001803758,0.00035952483,0.0018455792,0.0004896513,0.0076117124],"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":[0.00002218067,0.00005607182,0.0000025289291,0.00017305955,0.00009609664,0.000018818151,0.0006021712,0.000010292373,0.0001357842,0.020088566,0.9474485,0.031345952],"study_design_scores_gemma":[0.0006198094,0.00023614259,0.000053329404,0.00023215124,0.000021092746,0.00004523729,0.00003665646,0.0076442272,0.00008150091,0.00049069664,0.9901084,0.0004308047],"about_ca_topic_score_codex":0.0014667906,"about_ca_topic_score_gemma":0.000061034487,"teacher_disagreement_score":0.19252552,"about_ca_system_score_codex":0.00022072664,"about_ca_system_score_gemma":0.000024129347,"threshold_uncertainty_score":0.9998483},"labels":[],"label_agreement":null},{"id":"W6939918017","doi":"10.6084/m9.figshare.27261117.v1","title":"Evaluating Wireless Network Technologies (3G, 4G, 5G) and Their Infrastructure A Systematic Review.pdf","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Internet of Things and AI","field":"Computer Science","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":"Wireless network; Key (lock); Personalization; Wireless; Emerging technologies; Wireless WAN","score_opus":0.024266314427460436,"score_gpt":0.28684727672368115,"score_spread":0.26258096229622074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939918017","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037213094,0.9175185,0.006436343,0.011343661,0.0029448713,0.0083817225,0.016854439,0.011979523,0.02081962],"genre_scores_gemma":[0.96754855,0.0015188078,0.015453323,0.005232972,0.0008178776,0.0020897544,0.0034514212,0.00012601634,0.0037612848],"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","domain_scores_codex":[0.99888355,0.00005239269,0.00025532214,0.0003425723,0.00022273166,0.00024344277],"domain_scores_gemma":[0.9991566,0.00018004305,0.00010568059,0.00042773157,0.00009954662,0.000030410518],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026259286,0.00017733447,0.0003095732,0.00005197388,0.00009237873,0.00072129414,0.0010715683,0.000085942695,0.0026609383],"category_scores_gemma":[0.0008411092,0.000115536524,0.00007719651,0.00034185048,0.000007850271,0.00043113614,0.00076812785,0.00026136017,0.0005851332],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.267424e-7,0.0000051717966,0.000005218996,0.32491812,0.00008727609,0.000039882383,0.000663799,0.00007488973,0.000110080844,0.0022214986,0.630754,0.041119307],"study_design_scores_gemma":[0.000050174676,0.00006910835,0.000035822828,0.72549975,0.000026532498,0.0001610032,0.00007368283,0.25890192,0.00034170647,0.004346855,0.010193805,0.00029960947],"about_ca_topic_score_codex":0.0000015764322,"about_ca_topic_score_gemma":0.000001125531,"teacher_disagreement_score":0.96382725,"about_ca_system_score_codex":0.000040386938,"about_ca_system_score_gemma":0.000062367595,"threshold_uncertainty_score":0.9982508},"labels":[],"label_agreement":null},{"id":"W6948693194","doi":"10.5281/zenodo.10630976","title":"ADAPTING TO CHANGE: AI'S INFLUENCE ON ONLINE SHOPPING DYNAMICS IN INDIA","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Internet of Things and AI","field":"Computer Science","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":"Cape Breton University","funders":"","keywords":"Transformative learning; Investment (military); Dynamics (music); Global challenges; Human intelligence; Applications of artificial intelligence","score_opus":0.035155750552138,"score_gpt":0.2759318321629302,"score_spread":0.24077608161079223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6948693194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52298254,0.00042303707,0.22420499,0.060643785,0.0018230897,0.002364553,0.00037126913,0.0074659074,0.17972085],"genre_scores_gemma":[0.99504364,0.000016464555,0.0015125539,0.0024358716,0.0001429264,5.726216e-8,0.00011143628,0.00040057325,0.00033646447],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986228,0.000103719,0.00019594825,0.0004418156,0.0003046378,0.000331091],"domain_scores_gemma":[0.9993288,0.000024486757,0.00003277201,0.0003333266,0.00016324085,0.00011738084],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005316283,0.00011361247,0.000097385986,0.00046065368,0.00041633454,0.001576328,0.0014819789,0.00004282938,0.00032699623],"category_scores_gemma":[0.00030530067,0.00011768277,0.00003097293,0.0009493752,0.000028278164,0.00063073775,0.0016571495,0.00037891508,0.002928488],"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":[0.000025701822,0.00015433252,0.00001997407,0.0001242127,0.000022876411,0.0002286369,0.0065369806,0.0010645436,0.001113305,0.25140467,0.02960125,0.7097035],"study_design_scores_gemma":[0.00017594422,0.00037954698,0.0024454608,0.0005765776,0.0000025744912,0.0000747192,0.00026061776,0.26199555,0.00014074819,0.00040855352,0.73325634,0.0002834029],"about_ca_topic_score_codex":0.000029458612,"about_ca_topic_score_gemma":0.0000021990325,"teacher_disagreement_score":0.7094201,"about_ca_system_score_codex":0.00029139261,"about_ca_system_score_gemma":0.0000040775776,"threshold_uncertainty_score":0.99946016},"labels":[],"label_agreement":null},{"id":"W6967351452","doi":"10.5281/zenodo.10630977","title":"ADAPTING TO CHANGE: AI'S INFLUENCE ON ONLINE SHOPPING DYNAMICS IN INDIA","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Internet of Things and AI","field":"Computer Science","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":"Cape Breton University","funders":"","keywords":"Transformative learning; Investment (military); Dynamics (music); Global challenges; Human intelligence; Applications of artificial intelligence","score_opus":0.035155750552138,"score_gpt":0.2759318321629302,"score_spread":0.24077608161079223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6967351452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52298254,0.00042303707,0.22420499,0.060643785,0.0018230897,0.002364553,0.00037126913,0.0074659074,0.17972085],"genre_scores_gemma":[0.99504364,0.000016464555,0.0015125539,0.0024358716,0.0001429264,5.726216e-8,0.00011143628,0.00040057325,0.00033646447],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986228,0.000103719,0.00019594825,0.0004418156,0.0003046378,0.000331091],"domain_scores_gemma":[0.9993288,0.000024486757,0.00003277201,0.0003333266,0.00016324085,0.00011738084],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005316283,0.00011361247,0.000097385986,0.00046065368,0.00041633454,0.001576328,0.0014819789,0.00004282938,0.00032699623],"category_scores_gemma":[0.00030530067,0.00011768277,0.00003097293,0.0009493752,0.000028278164,0.00063073775,0.0016571495,0.00037891508,0.002928488],"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":[0.000025701822,0.00015433252,0.00001997407,0.0001242127,0.000022876411,0.0002286369,0.0065369806,0.0010645436,0.001113305,0.25140467,0.02960125,0.7097035],"study_design_scores_gemma":[0.00017594422,0.00037954698,0.0024454608,0.0005765776,0.0000025744912,0.0000747192,0.00026061776,0.26199555,0.00014074819,0.00040855352,0.73325634,0.0002834029],"about_ca_topic_score_codex":0.000029458612,"about_ca_topic_score_gemma":0.0000021990325,"teacher_disagreement_score":0.7094201,"about_ca_system_score_codex":0.00029139261,"about_ca_system_score_gemma":0.0000040775776,"threshold_uncertainty_score":0.99946016},"labels":[],"label_agreement":null},{"id":"W6968473293","doi":"10.5281/zenodo.16400509","title":"Artificial Intelligence and Machine Learning: Concepts, Tools, and Case Studies","year":2025,"lang":"en","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Internet of Things and AI","field":"Computer Science","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":"Agile software development; Cloud computing; Digital marketing; Business intelligence; Marketing research; Applications of artificial intelligence; Marketing management","score_opus":0.09035857964378671,"score_gpt":0.2945826947723327,"score_spread":0.20422411512854596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968473293","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":[0.00051087496,0.010412069,0.13541202,0.0046996535,0.0009083105,0.0013505705,0.00051000353,0.0024938833,0.8437026],"genre_scores_gemma":[0.06740946,0.007159665,0.005082318,0.0011785594,0.00077916693,1.8299056e-7,0.0014739237,0.002120897,0.9147958],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983616,0.00020132423,0.0003021684,0.00061746774,0.00025115887,0.0002662987],"domain_scores_gemma":[0.99883085,0.00009439345,0.00015375862,0.0003485011,0.00045321725,0.00011924697],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00062212266,0.00022321063,0.00026657188,0.00023060631,0.0016727332,0.0018483575,0.0009477451,0.000106903964,0.0004865564],"category_scores_gemma":[0.0007965229,0.00022200252,0.00004216149,0.00016718952,0.00030980379,0.00033303382,0.0042601167,0.00059664075,0.00044107626],"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":[0.00001682564,0.00002874818,1.7491658e-7,0.00022326976,0.00010778366,0.000574256,0.0029266078,0.000018455808,0.000028035158,0.24210396,0.10654798,0.6474239],"study_design_scores_gemma":[0.00005922762,0.00026178907,0.0000010999393,0.00015081283,0.000020828918,0.0014718091,0.00021478455,0.0036344714,0.000093372444,0.006501328,0.9873525,0.00023796671],"about_ca_topic_score_codex":0.000009261278,"about_ca_topic_score_gemma":7.3147726e-7,"teacher_disagreement_score":0.88080454,"about_ca_system_score_codex":0.00011686946,"about_ca_system_score_gemma":0.000010450374,"threshold_uncertainty_score":0.99962693},"labels":[],"label_agreement":null},{"id":"W6979837847","doi":"","title":"Alpha Technologies named Burnaby Business of the Year","year":2013,"lang":"en","type":"other","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Alpha (finance); Relation (database); Feature (linguistics); Product (mathematics)","score_opus":0.004851643575425262,"score_gpt":0.1882139334881055,"score_spread":0.18336228991268025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6979837847","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":[0.00002537956,0.00028271315,0.02319649,0.003172585,0.0009745614,0.00016403242,0.0000016317188,0.0005792612,0.97160333],"genre_scores_gemma":[0.0019344602,0.000049685907,0.013750696,0.00013331353,0.00004441401,0.0000058109053,2.4688117e-7,0.000046189823,0.9840352],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993979,0.000009544157,0.00010588596,0.00018145336,0.00017773238,0.00012750394],"domain_scores_gemma":[0.9990586,0.00000954963,0.0001653179,0.00070809695,0.00004980061,0.000008616896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046592053,0.00011777548,0.00015726821,0.00009055874,0.000014484914,0.000060674676,0.0022810702,0.00017331932,0.00051551586],"category_scores_gemma":[0.00003303576,0.00006168878,0.00005984738,0.00020165626,0.00008708227,0.00005693816,0.00079846475,0.000121574056,0.00020139669],"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":[1.3471812e-7,0.000009873212,0.000011815732,0.00002137213,0.000015005958,7.597834e-7,0.000017853981,2.8739169e-7,0.00004887907,0.10414952,0.88945687,0.0062676435],"study_design_scores_gemma":[0.00006929499,0.00000975489,0.00007828534,0.0001951835,0.0000035702103,0.000003666483,0.000023805249,0.00028570736,0.0016055797,0.0017994223,0.99579173,0.00013399744],"about_ca_topic_score_codex":0.0004983376,"about_ca_topic_score_gemma":0.000012258553,"teacher_disagreement_score":0.10633488,"about_ca_system_score_codex":0.000008628978,"about_ca_system_score_gemma":0.000024524288,"threshold_uncertainty_score":0.5644537},"labels":[],"label_agreement":null},{"id":"W6987251576","doi":"","title":"The sign language proficiency interview: description and use with sign language of the Netherlands","year":2015,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Internet of Things and AI","field":"Computer Science","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":"Sign language; Grammar; Sign (mathematics); American Sign Language; Interview; Language proficiency; Rating scale; Conversation","score_opus":0.025743173375241676,"score_gpt":0.2397049947265209,"score_spread":0.21396182135127922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987251576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9622782,0.0015933496,0.03481981,0.00041867883,0.00018841281,0.00020232753,0.000027722073,0.000053741616,0.00041777748],"genre_scores_gemma":[0.997028,0.00009218811,0.0020962644,0.0002745747,0.00008243203,0.0000049177643,0.000024275703,0.000010661809,0.00038671296],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987677,0.00024550542,0.00018416422,0.00032984198,0.0002305268,0.00024226937],"domain_scores_gemma":[0.9986059,0.00016987277,0.00015314844,0.00096281763,0.000031808104,0.000076467586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095643586,0.00014441067,0.00013930222,0.00002671821,0.00020713136,0.0004230754,0.0019347299,0.000027324833,5.7743097e-7],"category_scores_gemma":[0.000017135857,0.0000701488,0.000020344216,0.00016662602,0.00012478342,0.0006624789,0.00133799,0.00016483184,9.777095e-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":[0.0003626551,0.00030089513,0.0841841,0.0006827078,0.00028226254,0.00007096856,0.48764366,0.0013437794,0.008678686,0.0062172785,0.0067294943,0.4035035],"study_design_scores_gemma":[0.00075888744,0.00047358792,0.051558666,0.0010429182,0.000061114326,0.00009736391,0.012444711,0.9262141,0.00049837516,0.00065275823,0.005785695,0.0004118057],"about_ca_topic_score_codex":0.0010715914,"about_ca_topic_score_gemma":0.0016588421,"teacher_disagreement_score":0.9248703,"about_ca_system_score_codex":0.00000779022,"about_ca_system_score_gemma":0.000023615583,"threshold_uncertainty_score":0.40797257},"labels":[],"label_agreement":null},{"id":"W6989174472","doi":"","title":"Alpha Technologies empowers Wireless Carriers' roll out of HetNets -- VANCOUVER, British Columbia, Oct. 9, 2013 /PRNewswire/ --","year":2013,"lang":"en","type":"other","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Wireless; Alpha (finance); Wireless network; Interference (communication); Key (lock)","score_opus":0.005282403578198029,"score_gpt":0.20432195859061947,"score_spread":0.19903955501242143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989174472","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":[0.00045196578,0.0023578205,0.019340837,0.0004520467,0.008766536,0.000984949,0.00007491929,0.002980458,0.9645905],"genre_scores_gemma":[0.00707589,0.0007063236,0.011212694,0.00029885798,0.00011686866,0.000047531572,0.000007099577,0.00023285378,0.98030186],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99714875,0.000040070456,0.000545572,0.0009785339,0.0006184802,0.00066860666],"domain_scores_gemma":[0.9976986,0.00003877054,0.0006126525,0.0013709384,0.0001557605,0.00012326067],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016295342,0.00040556994,0.00088071276,0.0002274974,0.00008291233,0.0007866995,0.003437871,0.00083309546,0.0026781943],"category_scores_gemma":[0.000034605422,0.0005295791,0.00029733308,0.00023139291,0.00034261486,0.00037403582,0.0011374478,0.0004550377,0.00028079216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.4807994e-7,0.00005381137,0.00011423043,0.000079981866,0.000115980794,0.00003721332,0.00010129938,0.0000012058633,0.000026232927,0.0005318203,0.9703393,0.028598098],"study_design_scores_gemma":[0.0004538513,0.00014934207,0.00001956411,0.00059299695,0.000020265528,0.000013796848,0.000250241,0.0016329616,0.00024052258,0.0007768414,0.9950929,0.0007566659],"about_ca_topic_score_codex":0.23369464,"about_ca_topic_score_gemma":0.34976694,"teacher_disagreement_score":0.11607228,"about_ca_system_score_codex":0.00008551916,"about_ca_system_score_gemma":0.00014019462,"threshold_uncertainty_score":0.99971557},"labels":[],"label_agreement":null},{"id":"W6990164318","doi":"","title":"ConnectM Provides First Quarter 2023 Business Update","year":2023,"lang":"en","type":"other","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Quarter (Canadian coin); Government (linguistics); Work (physics); Payment","score_opus":0.009190184709740333,"score_gpt":0.2171697129143257,"score_spread":0.20797952820458537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990164318","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":[0.0000019258016,0.00012615226,0.073817626,0.011438233,0.00345844,0.00025451128,0.00001237017,0.002871032,0.9080197],"genre_scores_gemma":[0.00019169347,0.00005841818,0.0047864304,0.0010270634,0.0004800279,0.00002351521,0.000005940297,0.0003410645,0.99308586],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987383,0.000014130513,0.00017651236,0.00052046677,0.00023804542,0.0003125621],"domain_scores_gemma":[0.99908227,0.000040105268,0.00013211377,0.00063007744,0.000055088483,0.00006037578],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000112864036,0.00025359067,0.00026184204,0.00021132814,0.000046687186,0.00035968155,0.0013175255,0.00017748629,0.002181052],"category_scores_gemma":[0.000028536842,0.00019681755,0.00008367084,0.00031773525,0.00003277261,0.00018886419,0.00038414457,0.00013509631,0.0090480745],"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":[6.736503e-7,0.0000123319205,0.000005328636,0.000053035907,0.000030331314,0.000036675832,0.000038755843,0.0000013069267,9.1514164e-7,0.026559744,0.9717597,0.0015012204],"study_design_scores_gemma":[0.0001190521,0.00001980798,0.000037299895,0.00027354565,0.0000053606927,0.000006228308,0.0000077936575,0.001995094,0.000014749798,0.000680406,0.99652183,0.00031883406],"about_ca_topic_score_codex":0.0018106917,"about_ca_topic_score_gemma":0.0034753007,"teacher_disagreement_score":0.08506614,"about_ca_system_score_codex":0.000023125433,"about_ca_system_score_gemma":0.000040542815,"threshold_uncertainty_score":0.9987311},"labels":[],"label_agreement":null},{"id":"W6991043169","doi":"","title":"Escaped killer shot and captured","year":2015,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Internet of Things and AI","field":"Computer Science","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":"Shot (pellet); Officer; Prison; State (computer science); Governor; Power (physics); Bathtub","score_opus":0.016296050192726307,"score_gpt":0.23839797195049237,"score_spread":0.22210192175776605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991043169","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":[0.00007061663,0.0011075785,0.09395089,0.00043702088,0.0031701797,0.00066180364,0.00023323314,0.00071058463,0.8996581],"genre_scores_gemma":[0.006016061,0.00014122677,0.01965127,0.0012420244,0.000975438,0.000059879836,0.00030907552,0.0005620815,0.97104293],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950454,0.00034758323,0.000778974,0.0019169747,0.0008303376,0.0010806782],"domain_scores_gemma":[0.9969707,0.00021356824,0.0006011976,0.0014108401,0.00008433165,0.0007193305],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00036985148,0.0011806994,0.0011331578,0.00097683,0.00003863741,0.0006526543,0.0037987544,0.00035372804,0.0031305589],"category_scores_gemma":[0.00010818283,0.001043606,0.00038507584,0.00017169211,0.00051642983,0.00029265284,0.003647989,0.0012336064,0.0021464352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068368005,0.00010915235,0.000044068383,0.000104599894,0.00038228615,0.00022449506,0.004706413,0.0000032705375,0.00011189644,0.015626363,0.9779853,0.00063373405],"study_design_scores_gemma":[0.00096545747,0.00039941838,0.00006961814,0.0010829025,0.00005720595,0.0002631608,0.00004220832,0.010605754,0.00013764792,0.0047555123,0.9804607,0.0011604349],"about_ca_topic_score_codex":0.011933657,"about_ca_topic_score_gemma":0.010096389,"teacher_disagreement_score":0.07429962,"about_ca_system_score_codex":0.00007124389,"about_ca_system_score_gemma":0.000162807,"threshold_uncertainty_score":0.9992014},"labels":[],"label_agreement":null},{"id":"W6998594490","doi":"","title":"AI and ML techniques in various fields of Infocommunications – in the autumn issue of ICJ","year":2024,"lang":"en","type":"article","venue":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","topic":"Internet of Things and AI","field":"Computer Science","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Field (mathematics); Derogation; Government (linguistics); Identification (biology); Focus (optics); Work (physics)","score_opus":0.011741705730157613,"score_gpt":0.25692400274229793,"score_spread":0.2451822970121403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998594490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4948731,0.01198875,0.0005544352,0.45071235,0.00084129773,0.0020912238,0.000045909117,0.00023876438,0.03865418],"genre_scores_gemma":[0.9890587,0.00031861957,0.0071877916,0.0023115252,0.000060608258,0.000012164356,3.200545e-7,0.000014110025,0.0010361668],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968758,0.0005772724,0.0012011458,0.00039550362,0.0006771749,0.0002730787],"domain_scores_gemma":[0.99799806,0.0005670692,0.0007533517,0.0006226592,0.000011619129,0.000047230802],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0012178406,0.00021510271,0.00046938314,0.00042747386,0.00016788664,0.00011280046,0.009004688,0.00032829237,0.000011357022],"category_scores_gemma":[0.000053297463,0.00012554384,0.0002449597,0.0018648563,0.0018075414,0.0038613246,0.0028201416,0.0011786947,4.612809e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066534165,0.00038133402,0.026917687,0.0011616559,0.00011445588,0.0000035007827,0.017783992,0.00051237684,0.047680277,0.8723499,0.022404796,0.010623488],"study_design_scores_gemma":[0.00028051442,0.0002469169,0.077673204,0.002974042,0.000045457113,0.00008546864,0.0003364859,0.017107304,0.7548914,0.12739322,0.018641328,0.0003246394],"about_ca_topic_score_codex":0.000098769626,"about_ca_topic_score_gemma":6.563455e-7,"teacher_disagreement_score":0.7449567,"about_ca_system_score_codex":0.000009649706,"about_ca_system_score_gemma":0.00022215811,"threshold_uncertainty_score":0.9963571},"labels":[],"label_agreement":null},{"id":"W7020141693","doi":"","title":"Intermap Technologies Reports 2018 Second Quarter Financial Results","year":2018,"lang":"en","type":"other","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Quarter (Canadian coin); Payment; Financial Audit; Government (linguistics)","score_opus":0.007465126973621262,"score_gpt":0.2210726729832949,"score_spread":0.21360754600967363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020141693","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":[0.000012209779,0.00009508715,0.021775214,0.00120076,0.0041047353,0.000146375,0.0000088651,0.0019145886,0.97074217],"genre_scores_gemma":[0.0011405505,0.000008051928,0.020653578,0.00044848205,0.00046948218,0.000010030952,0.0000062702943,0.0000736903,0.97718984],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982847,0.000014475299,0.00039623672,0.00075410673,0.00021995584,0.0003305331],"domain_scores_gemma":[0.99809396,0.000013651138,0.00043056908,0.0013805106,0.000046185443,0.000035114645],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020223176,0.00028811226,0.0003002341,0.0002930767,0.00003979118,0.00022093665,0.001364151,0.00049257686,0.0014920989],"category_scores_gemma":[0.000088706256,0.0002224823,0.00011936197,0.00011717537,0.00013556099,0.00016628279,0.0007605476,0.00022442063,0.0015220378],"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":[0.0000027743308,0.000015621903,0.0000022970066,0.000016339036,0.000014078095,0.00014931516,0.000099552926,9.26366e-9,0.000008199351,0.0029399064,0.9937439,0.0030079847],"study_design_scores_gemma":[0.00010939002,0.00014342759,0.000007820095,0.00020600155,0.0000030793433,0.0001047991,0.00001164124,0.00008299635,0.0007671387,0.00290681,0.9953414,0.00031546602],"about_ca_topic_score_codex":0.000092158916,"about_ca_topic_score_gemma":0.00024157319,"teacher_disagreement_score":0.006447698,"about_ca_system_score_codex":0.00003095299,"about_ca_system_score_gemma":0.000062833875,"threshold_uncertainty_score":0.99942064},"labels":[],"label_agreement":null},{"id":"W7020424337","doi":"","title":"Lion Electric Announces Second Quarter 2021 Results","year":2021,"lang":"en","type":"other","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Quarter (Canadian coin); Government (linguistics); Work (physics)","score_opus":0.007443665758134225,"score_gpt":0.22143882675959925,"score_spread":0.213995161001465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020424337","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":[0.000007391783,0.0013904149,0.011441538,0.0010404554,0.0013068906,0.0000779784,0.0000066845755,0.00013129406,0.9845973],"genre_scores_gemma":[0.00034434928,0.00008085289,0.00584821,0.00074406934,0.00064035115,0.000004291213,0.000023300101,0.00005106193,0.9922635],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986424,0.00004138762,0.00020487969,0.00057936145,0.00026054197,0.00027145323],"domain_scores_gemma":[0.99912524,0.000025619547,0.00015760743,0.0005870862,0.000047774505,0.00005664702],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001450645,0.00020562028,0.0002322432,0.00022224363,0.000028791295,0.00035461492,0.0008769393,0.00020317954,0.007073238],"category_scores_gemma":[0.000014512686,0.00016589634,0.00010720589,0.0003092122,0.000010211742,0.000104099345,0.0001722128,0.00021340782,0.0004687511],"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":[0.0000014206234,0.00002013177,0.0000011263068,0.000017758028,0.000025480571,0.000040950094,0.0000739186,1.7001564e-7,0.00010673959,0.00440161,0.992273,0.003037739],"study_design_scores_gemma":[0.000154715,0.000075095086,0.000012254459,0.0001414947,0.0000029796447,0.000015795915,0.000007610395,0.0011200536,0.0005155973,0.00020367575,0.9975022,0.0002485421],"about_ca_topic_score_codex":0.00018596937,"about_ca_topic_score_gemma":0.0003101584,"teacher_disagreement_score":0.0076661627,"about_ca_system_score_codex":0.000023060666,"about_ca_system_score_gemma":0.00008037178,"threshold_uncertainty_score":0.99383444},"labels":[],"label_agreement":null},{"id":"W7032966433","doi":"","title":"Floata 2","year":2017,"lang":"en","type":"other","venue":"VIURRSpace (Vancouver Island University)","topic":"Internet of Things and AI","field":"Computer Science","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":"Event (particle physics); Product (mathematics); Relation (database); Work (physics)","score_opus":0.008874343735996227,"score_gpt":0.20140501097977914,"score_spread":0.19253066724378293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7032966433","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":[1.8506692e-7,0.00013706544,0.053029895,0.0002787938,0.0029059087,0.00011976385,0.000034495522,0.0003652388,0.94312865],"genre_scores_gemma":[0.00012156236,0.00021694091,0.0033398794,0.000108233995,0.0003295107,2.389094e-7,6.041541e-7,0.00010159514,0.9957814],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870706,0.00003366348,0.00005902417,0.00058279355,0.00026603864,0.00035144555],"domain_scores_gemma":[0.99820036,0.000016285067,0.00028816317,0.0013329025,0.00004093685,0.00012136158],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006215746,0.00030500602,0.00032179116,0.0005104866,0.00017499902,0.00019133928,0.0028525258,0.0002920458,0.0003870676],"category_scores_gemma":[0.000014359667,0.00030292728,0.0001561683,0.00014800821,0.000080432364,0.00037755189,0.0008500738,0.0002808792,0.00032759],"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":[0.0000038533203,0.00001891399,9.729242e-7,0.000022847518,0.000057916284,0.00031473546,0.00007742865,0.0000015672804,0.0000033143483,0.008348976,0.98931724,0.0018322503],"study_design_scores_gemma":[0.00044618297,0.000038055463,0.0000010082105,0.00024034872,0.000024492836,0.0000036163458,0.000021756685,0.00029177294,0.000021279284,0.00009751313,0.99841917,0.0003948297],"about_ca_topic_score_codex":0.0008094758,"about_ca_topic_score_gemma":0.0015846805,"teacher_disagreement_score":0.05265278,"about_ca_system_score_codex":0.000082935694,"about_ca_system_score_gemma":0.00011482168,"threshold_uncertainty_score":0.9999423},"labels":[],"label_agreement":null},{"id":"W7033900520","doi":"","title":"Societe de colonisation du lac Temiskaming.","year":2014,"lang":"fr","type":"article","venue":"QSpace (Queen's University Library)","topic":"Internet of Things and AI","field":"Computer Science","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":"Western europe; Ethnic community; South asia","score_opus":0.0070993634078647585,"score_gpt":0.17627743573430343,"score_spread":0.16917807232643867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7033900520","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.071158454,0.00006053578,0.10940536,0.78406566,0.001506746,0.00019128794,0.000015081538,0.00045767383,0.033139214],"genre_scores_gemma":[0.3997305,0.00020625418,0.028627587,0.0029505845,0.00048749283,3.5031854e-7,0.000010517148,0.000029689692,0.56795704],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980792,0.00034490903,0.0001467255,0.0005347521,0.00027735197,0.0006170996],"domain_scores_gemma":[0.9987662,0.00019545946,0.00021027449,0.000460071,0.00007251653,0.00029546494],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020720332,0.0002668513,0.00025404897,0.0001348656,0.00043023564,0.0004904106,0.0012419281,0.0002881333,0.00036344933],"category_scores_gemma":[0.000051761344,0.00033542697,0.00022570716,0.00040754196,0.00023294646,0.0037460783,0.0008774048,0.00040533088,0.00031771944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028477743,0.00009835609,0.007178821,0.000081854596,0.000051398256,0.00011783668,0.0032868017,0.00021457902,0.000017921953,0.25574183,0.73040783,0.0027743191],"study_design_scores_gemma":[0.00051065144,0.00023379523,0.0049404018,0.00016286317,0.000043661836,0.0000032787145,0.00030292862,0.015518246,0.0025373308,0.0023281586,0.97300136,0.0004173349],"about_ca_topic_score_codex":0.008235534,"about_ca_topic_score_gemma":0.000026803003,"teacher_disagreement_score":0.78111506,"about_ca_system_score_codex":0.00023020763,"about_ca_system_score_gemma":0.00030199802,"threshold_uncertainty_score":0.99990976},"labels":[],"label_agreement":null},{"id":"W7036382437","doi":"","title":"Canada Fails to Make Top-Ten in Green Power Consumption","year":2013,"lang":"en","type":"other","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Consumption (sociology); Power (physics); Power consumption; Production (economics); Energy consumption","score_opus":0.007913090139766708,"score_gpt":0.21412262418100092,"score_spread":0.2062095340412342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036382437","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":[0.00030972413,0.000059470134,0.011726938,0.003910761,0.0010332078,0.00028691237,0.0000068746635,0.0001139685,0.9825522],"genre_scores_gemma":[0.0026740076,0.000003209844,0.0063769137,0.0057220263,0.00006696973,0.000011685226,0.0000021537232,0.000049774524,0.98509324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990429,0.000015890895,0.0001426867,0.00032520446,0.00022730518,0.00024598613],"domain_scores_gemma":[0.9994283,0.000010913362,0.00006021815,0.0003887723,0.000019085555,0.00009273978],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000061355684,0.00015586134,0.00017815217,0.00015896898,0.000009878846,0.00014505723,0.0008384908,0.0001091762,0.0048107887],"category_scores_gemma":[0.000005704285,0.00013012883,0.000027214202,0.00007563829,0.000008059143,0.00007877787,0.00026189032,0.00011874345,0.00082200713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.5738356e-7,0.0000052795135,0.00015511962,0.000009803485,0.0000070821234,0.000019437564,0.00004978702,7.42395e-7,0.00000499353,0.012946319,0.9824083,0.0043927873],"study_design_scores_gemma":[0.000079996214,0.000017146229,0.0007677182,0.00009374459,9.512018e-7,0.0000036788288,0.0000061812884,0.00034327508,0.000028604058,0.00006209402,0.99838006,0.00021653892],"about_ca_topic_score_codex":0.95638984,"about_ca_topic_score_gemma":0.9432865,"teacher_disagreement_score":0.01597178,"about_ca_system_score_codex":0.00010443295,"about_ca_system_score_gemma":0.00014874707,"threshold_uncertainty_score":0.99995595},"labels":[],"label_agreement":null},{"id":"W7037045846","doi":"","title":"Decision of November 26, 1997 In The Matter Of The Merger Of Leicester Savings Bank, Leicester, Massachusetts With And Into Country Bank For Savings, Ware, Massachusetts","year":2009,"lang":"en","type":"other","venue":"State Library's electronic repository (State Library of Massachusetts)","topic":"Internet of Things and AI","field":"Computer Science","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":"Subject matter; Economic forecasting; Work (physics); Quarter (Canadian coin)","score_opus":0.004823588866575697,"score_gpt":0.2054597307656233,"score_spread":0.2006361418990476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037045846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63283956,0.042309124,0.013395794,0.03254513,0.00522451,0.019095713,0.0035104633,0.0018527493,0.24922696],"genre_scores_gemma":[0.6792949,0.0031552278,0.03831348,0.0059287017,0.00052962947,0.00030610975,0.00041430592,0.0023368564,0.26972082],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9928954,0.0006378771,0.0022744844,0.0014379885,0.001486609,0.0012676119],"domain_scores_gemma":[0.9930234,0.0006915011,0.0034589162,0.0025668854,0.00009924572,0.0001600381],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00072104513,0.001172544,0.0018268764,0.0008159439,0.00015212428,0.0003862959,0.0049388455,0.0005216635,0.0001571845],"category_scores_gemma":[0.000021612928,0.0007646897,0.0005173808,0.0011200838,0.0007139319,0.0034942839,0.0010271287,0.001153645,0.0000039599367],"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":[0.0022403914,0.0012106319,0.073968545,0.004855355,0.0014124353,0.00010301137,0.006738274,0.00025544036,0.005558787,0.0045677302,0.8940328,0.005056648],"study_design_scores_gemma":[0.007093163,0.0038637475,0.041545045,0.010376008,0.0006112082,0.00030908553,0.00023595776,0.0014487719,0.07211236,0.022505224,0.8367034,0.0031960185],"about_ca_topic_score_codex":0.00029276163,"about_ca_topic_score_gemma":0.00008855123,"teacher_disagreement_score":0.06655357,"about_ca_system_score_codex":0.000065121036,"about_ca_system_score_gemma":0.0007039507,"threshold_uncertainty_score":0.9994804},"labels":[],"label_agreement":null},{"id":"W7037791395","doi":"","title":"Examining climate change & irrigation requirements on James Island, British Columbia","year":2016,"lang":"en","type":"article","venue":"IslandScholar (University of Prince Edward Island)","topic":"Internet of Things and AI","field":"Computer Science","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":"Climate change; Irrigation; Land reclamation; Water use; Water conservation; Water desalination; Water resources; Irrigation statistics","score_opus":0.028769289572418946,"score_gpt":0.2242371434391399,"score_spread":0.19546785386672094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037791395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93283343,0.00006115026,0.04994335,0.0009517541,0.0007645967,0.0003415964,0.00012385377,0.00018278538,0.01479749],"genre_scores_gemma":[0.98813975,0.00024490568,0.004904406,0.00023454023,0.00013964577,0.0000014975386,0.000014090758,0.000015766753,0.006305416],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99814206,0.00010850773,0.00020710507,0.0005973313,0.00050574314,0.00043923355],"domain_scores_gemma":[0.9987738,0.00007776714,0.00029378216,0.000582656,0.00015832079,0.00011364685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060111395,0.00015876762,0.00028863546,0.00011616433,0.0003707731,0.00035868966,0.001182211,0.00013261285,0.00039973337],"category_scores_gemma":[0.000065757034,0.0001966193,0.000115982075,0.00020631314,0.00008814634,0.0020243458,0.0005681988,0.0001970829,0.0002593014],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032407485,0.0007669481,0.39297903,0.00031710527,0.00036468115,0.0005746942,0.01587603,0.000015181341,0.0053029205,0.008645283,0.08997077,0.48486328],"study_design_scores_gemma":[0.012372314,0.0020552205,0.53898877,0.005244709,0.0001324219,0.00017870878,0.0010417843,0.0020500384,0.00070063665,0.008740944,0.42600572,0.0024887482],"about_ca_topic_score_codex":0.002465123,"about_ca_topic_score_gemma":0.024647916,"teacher_disagreement_score":0.48237452,"about_ca_system_score_codex":0.00009028757,"about_ca_system_score_gemma":0.000032527383,"threshold_uncertainty_score":0.9931497},"labels":[],"label_agreement":null},{"id":"W7045647740","doi":"","title":"Applied Optoelectronics Reports Second Quarter 2018 Results","year":2018,"lang":"en","type":"other","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Quarter (Canadian coin)","score_opus":0.0055747562205772745,"score_gpt":0.21305508478276886,"score_spread":0.2074803285621916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7045647740","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":[0.0000030526187,0.00006694852,0.040246002,0.0003086921,0.0016907171,0.00018084735,0.0000037012294,0.00053266896,0.95696735],"genre_scores_gemma":[0.00053625513,0.0000067625624,0.025549142,0.000869596,0.000771422,0.000009556162,0.000015062843,0.00013446482,0.97210777],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99809057,0.000013957227,0.00036963788,0.00081067556,0.00029036,0.0004248148],"domain_scores_gemma":[0.99810475,0.000013492444,0.00041327463,0.0013489914,0.000033533895,0.0000859736],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00027920952,0.0002886495,0.00028948663,0.00015976296,0.000039120274,0.00024381306,0.00094657985,0.00030694425,0.0051771374],"category_scores_gemma":[0.00000802864,0.00023490023,0.00009718565,0.00010173525,0.00004824932,0.00008570213,0.00028785685,0.00019346422,0.00228548],"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":[0.0000033515773,0.000017425931,2.2618825e-7,0.000012405374,0.00003532451,0.00003070401,0.00007099631,8.14922e-8,0.000023456952,0.014104166,0.98482424,0.0008775928],"study_design_scores_gemma":[0.00015591203,0.00010701201,0.0000014069683,0.000044721804,0.0000048523752,0.000057526442,0.00000310622,0.00027857526,0.00064182567,0.0015420815,0.99683166,0.00033135287],"about_ca_topic_score_codex":0.00007867744,"about_ca_topic_score_gemma":0.00021843347,"teacher_disagreement_score":0.015140368,"about_ca_system_score_codex":0.000046109828,"about_ca_system_score_gemma":0.00008990542,"threshold_uncertainty_score":0.99849135},"labels":[],"label_agreement":null},{"id":"W7067608786","doi":"","title":"Micro-Inverters Strategic Business Report 2024, with Coverage of Major Players such as ABB, Altenergy Power System, Canadian Solar, Chilicon Power, Darfon Electronics and More","year":2024,"lang":"en","type":"other","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"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":"Electronics; Power (physics); Government (linguistics); Electronic equipment; Work (physics); Strategic planning","score_opus":0.0036174182499543127,"score_gpt":0.19661751119562337,"score_spread":0.19300009294566906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067608786","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":[0.0029988273,0.002708608,0.0052905832,0.00086175,0.0020071315,0.0004996008,0.000087609034,0.00028399585,0.9852619],"genre_scores_gemma":[0.22624603,0.00017357954,0.0010937379,0.0009112261,0.00010058479,0.000015226242,0.0000636544,0.00039002343,0.7710059],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972884,0.000030530122,0.00045622213,0.0010718136,0.0004605469,0.00069247413],"domain_scores_gemma":[0.99825734,0.000011186462,0.00037476188,0.00090664515,0.0001407645,0.00030930887],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022646853,0.0005696122,0.00064770435,0.00060143875,0.000058021003,0.0004686777,0.0008984784,0.00038046172,0.00037470576],"category_scores_gemma":[0.000005642938,0.00044462172,0.00010769256,0.0004157904,0.000100113655,0.00018559308,0.00017536353,0.0004167136,0.000042877386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000851014,0.00012798756,0.000168314,0.0026034564,0.00214419,0.012742094,0.0010322632,0.00010129107,0.0011047182,0.30197868,0.67725474,0.00065716647],"study_design_scores_gemma":[0.0026784856,0.0018393572,0.00020093996,0.009121268,0.0004972252,0.017627398,0.0013051714,0.011798085,0.0030784195,0.0012272907,0.9458415,0.004784851],"about_ca_topic_score_codex":0.25124064,"about_ca_topic_score_gemma":0.100673735,"teacher_disagreement_score":0.3007514,"about_ca_system_score_codex":0.00029112294,"about_ca_system_score_gemma":0.0014656953,"threshold_uncertainty_score":0.99980056},"labels":[],"label_agreement":null},{"id":"W7095311746","doi":"","title":"CCSC: A Composite Seismicity Catalog for Earthquake Hazard Assessment in Major Canadian Cities","year":2016,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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":"Induced seismicity; Hazard analysis; Earthquake scenario; Hazard; Urban seismic risk; Vulnerability assessment; Seismic risk","score_opus":0.012333946553784643,"score_gpt":0.24492242618917992,"score_spread":0.23258847963539528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095311746","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4205166,0.000019385205,0.5199157,0.041995343,0.0006725648,0.00042114427,0.00006168718,0.000118531934,0.016279018],"genre_scores_gemma":[0.96112007,0.0000014691391,0.028657982,0.003636476,0.000040342893,0.000025187655,0.0000034310938,0.000006231175,0.0065088384],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990252,0.00002089829,0.00017408052,0.0002700863,0.00012250601,0.00038718537],"domain_scores_gemma":[0.9994297,0.00006905544,0.00003747625,0.00026335384,0.000055762084,0.0001446525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023473125,0.0001083838,0.00013799361,0.00014713593,0.000079160294,0.00015813389,0.00059892726,0.00004673881,0.000039427377],"category_scores_gemma":[0.000010180297,0.000074201285,0.000059106445,0.000075754404,0.00003138765,0.00036073927,0.00011646546,0.00006626142,0.00004242119],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023142527,0.00012737977,0.032458328,0.00005666007,0.00006789767,0.000096530646,0.0018447327,0.0000430449,0.0033312554,0.8236255,0.06284899,0.07547656],"study_design_scores_gemma":[0.0059360038,0.00077975733,0.33504385,0.0005218961,0.000019072357,0.00009452705,0.00021847751,0.110445015,0.02148643,0.05507399,0.46852785,0.0018531498],"about_ca_topic_score_codex":0.11809586,"about_ca_topic_score_gemma":0.2733298,"teacher_disagreement_score":0.76855147,"about_ca_system_score_codex":0.0001742997,"about_ca_system_score_gemma":0.00023129304,"threshold_uncertainty_score":0.8877768},"labels":[],"label_agreement":null},{"id":"W7106664327","doi":"10.5281/zenodo.17707807","title":"FUNDAMENTALS OF MACHINE LEARNING ALGORITHMS","year":2025,"lang":"","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Internet of Things and AI","field":"Computer Science","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Transparency (behavior); Transformative learning; Field (mathematics); Deep learning; Artificial neural network; Algorithmic learning theory; Deep neural networks","score_opus":0.02958564520465539,"score_gpt":0.25015325694833046,"score_spread":0.22056761174367506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106664327","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":[0.00016139876,0.000848882,0.08618896,0.0011028339,0.00095466716,0.000946716,0.00066622323,0.00092490815,0.9082054],"genre_scores_gemma":[0.05296931,0.0013766155,0.0052981563,0.00064550305,0.00069991604,7.161414e-8,0.006548569,0.00414171,0.92832017],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949161,0.00080731045,0.0010361267,0.0012734989,0.001156126,0.0008108812],"domain_scores_gemma":[0.9960399,0.000082704944,0.00086103886,0.0011396939,0.0015756594,0.00030095645],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.001833537,0.0005479105,0.0007108699,0.0008743916,0.0034052238,0.0025118254,0.0058871713,0.0003053227,0.026718328],"category_scores_gemma":[0.0006386806,0.00061444606,0.00033747306,0.00085139676,0.0005131658,0.0006144375,0.010338654,0.0015437929,0.005985726],"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":[0.0001042912,0.00041763278,0.0000014295383,0.00077691936,0.00043919004,0.00007089362,0.0032612463,0.0002920425,0.0013455552,0.062455025,0.3429147,0.5879211],"study_design_scores_gemma":[0.00067064253,0.0009101721,0.00001712764,0.0006682364,0.000058646987,0.00012165955,0.000100298384,0.024821527,0.00096871756,0.0007329145,0.9704342,0.0004958414],"about_ca_topic_score_codex":0.00007206342,"about_ca_topic_score_gemma":2.1946668e-7,"teacher_disagreement_score":0.6275195,"about_ca_system_score_codex":0.0005361726,"about_ca_system_score_gemma":0.00004020137,"threshold_uncertainty_score":0.9996307},"labels":[],"label_agreement":null},{"id":"W7111380861","doi":"10.18280/ijsse.150807","title":"Integrated Framework for Real-Time Cyber Threat Detection and Mitigation in IoT and Healthcare Systems Using Deep Learning and Blockchain","year":2025,"lang":"","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internet of Things; Deep learning; Blockchain; Healthcare system; Health care","score_opus":0.005898968204756439,"score_gpt":0.2502293269788765,"score_spread":0.24433035877412007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111380861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6305086,0.004920455,0.36240187,0.0009915686,0.0009910145,0.000158166,0.000006402482,0.00001235351,0.000009521647],"genre_scores_gemma":[0.9877457,0.0028980165,0.009076467,0.000040617753,0.00020460786,0.000002035851,0.0000013056958,0.000011769172,0.000019487465],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984978,0.00007763166,0.00069737824,0.0002768032,0.00023606356,0.00021432851],"domain_scores_gemma":[0.99870765,0.00039509754,0.00032420992,0.000054755164,0.00040561362,0.00011266508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090438034,0.00021406407,0.0003741394,0.000489395,0.00014194293,0.00041351348,0.00016349563,0.00021113697,0.0000013987479],"category_scores_gemma":[0.00029634722,0.0002201177,0.00005331211,0.00017298706,0.00005386645,0.00030072045,0.00015764049,0.00065098394,6.035989e-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":[0.0032095602,0.00027896027,0.019227087,0.004100298,0.0020362379,0.0003339408,0.052036162,0.24529728,0.042920113,0.24934867,0.0000071629734,0.38120455],"study_design_scores_gemma":[0.00082342484,0.0001688173,0.002367162,0.003953342,0.00003090797,0.0003891102,0.0004883539,0.9879514,0.000365648,0.0030228707,0.00026085982,0.00017807708],"about_ca_topic_score_codex":0.00035577218,"about_ca_topic_score_gemma":0.000039191877,"teacher_disagreement_score":0.74265414,"about_ca_system_score_codex":0.00020927949,"about_ca_system_score_gemma":0.00004960075,"threshold_uncertainty_score":0.8976139},"labels":[],"label_agreement":null},{"id":"W7116313742","doi":"10.1109/tce.2025.3607745","title":"Guest Editorial Optimizing Consumer Electronics With Lightweight AI for Enhanced Decision Making at the Edge","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Internet of Things and AI","field":"Computer Science","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":"Royal Military College of Canada","funders":"","keywords":"Electronics; Enhanced Data Rates for GSM Evolution; Edge device; Electronic equipment","score_opus":0.007237384732782284,"score_gpt":0.26457381401130553,"score_spread":0.25733642927852324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116313742","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023269588,0.009277508,0.89911973,0.0028205737,0.08373837,0.0018969428,0.00005277773,0.00029973002,0.00046742015],"genre_scores_gemma":[0.9597247,0.0065663555,0.012973136,0.0036363984,0.008019319,0.00084591197,0.000010005664,0.00028925738,0.007934906],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9929031,0.00026499853,0.0012711223,0.0019361086,0.0011632621,0.0024613792],"domain_scores_gemma":[0.99409544,0.0021402114,0.00055631396,0.0018645759,0.0011253175,0.00021811527],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0010956214,0.0011444846,0.00097206456,0.0005199718,0.0030576987,0.0012682908,0.0023107836,0.0007396593,0.00010157906],"category_scores_gemma":[0.000053097818,0.0009023309,0.0007298413,0.0013828597,0.00051493157,0.00085601764,0.000046749876,0.0027468281,0.00015782115],"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":[0.017696368,0.0031144482,0.0000124921135,0.0005932102,0.006936016,0.000038199418,0.0034509997,0.04545066,0.029180529,0.02268466,0.29538703,0.57545537],"study_design_scores_gemma":[0.003957562,0.0017460727,0.0000011043306,0.0011304239,0.001012569,0.000054175078,0.000035442776,0.050144184,0.33507738,0.0012973206,0.60435605,0.001187708],"about_ca_topic_score_codex":0.000031514246,"about_ca_topic_score_gemma":0.0013679872,"teacher_disagreement_score":0.95739776,"about_ca_system_score_codex":0.0019353278,"about_ca_system_score_gemma":0.0029842907,"threshold_uncertainty_score":0.9997685},"labels":[],"label_agreement":null},{"id":"W7118117789","doi":"10.5281/zenodo.18138676","title":"The Role of AI in Employment","year":2024,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Internet of Things and AI","field":"Computer Science","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":"Bishop's University","funders":"","keywords":"Robotics; Applications of artificial intelligence; Working life; Robot; Artificial intelligence, situated approach","score_opus":0.01748496928049589,"score_gpt":0.24698587161645824,"score_spread":0.22950090233596235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7118117789","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":[0.048531495,0.024312153,0.06843219,0.054373853,0.0048693237,0.0030129075,0.00031949632,0.0027918124,0.7933568],"genre_scores_gemma":[0.99482244,0.00040728683,0.000121108154,0.00017264229,0.00014812195,2.4858558e-8,0.00003597862,0.00072249124,0.0035699096],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99754834,0.00037890996,0.00047444733,0.0005286966,0.0005710281,0.0004985811],"domain_scores_gemma":[0.9986934,0.000054522545,0.0000909806,0.00064477243,0.00039509055,0.00012122772],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015631246,0.00016744784,0.00015957069,0.00027294597,0.0013134001,0.0038118884,0.0029723954,0.00006665533,0.002324773],"category_scores_gemma":[0.00026122414,0.00014045891,0.00010043376,0.0009512006,0.00024622565,0.000524813,0.0033643744,0.00057567295,0.005109096],"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":[0.00003034756,0.00011891575,0.000001993339,0.00007346753,0.000051086077,0.000028962162,0.0053729,0.000069298185,0.0032036859,0.240475,0.057429086,0.6931453],"study_design_scores_gemma":[0.00014722567,0.00030162098,0.00013141014,0.00023507021,0.0000073082497,0.00005203231,0.00025655475,0.05601883,0.0021811419,0.0041037593,0.93642354,0.00014149405],"about_ca_topic_score_codex":0.00008132052,"about_ca_topic_score_gemma":0.0000012193701,"teacher_disagreement_score":0.94629097,"about_ca_system_score_codex":0.00019103364,"about_ca_system_score_gemma":0.000013641901,"threshold_uncertainty_score":0.99998677},"labels":[],"label_agreement":null},{"id":"W7118121714","doi":"10.5281/zenodo.18138279","title":"Quad Convergence IoT-Blockchain-AI-CyberSecurity Unified by Diversity, Driven by Convergence","year":2024,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Internet of Things and AI","field":"Computer Science","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":"Marriott International (Canada)","funders":"","keywords":"Convergence (economics); Power (physics); Current (fluid); Compact convergence","score_opus":0.02191835086168459,"score_gpt":0.23984992601592375,"score_spread":0.21793157515423917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7118121714","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20731819,0.011345582,0.53003323,0.054756735,0.01738938,0.0049103145,0.007949608,0.012002194,0.15429477],"genre_scores_gemma":[0.98552334,0.0005982687,0.00022018173,0.0010323743,0.00023618025,5.5253977e-8,0.00050522736,0.0010198676,0.0108645195],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943488,0.0007371517,0.0006679128,0.0017270204,0.0013654182,0.0011536588],"domain_scores_gemma":[0.99690795,0.00007145561,0.00023248751,0.0010931088,0.001017462,0.0006775377],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.0013979714,0.0005283463,0.0004138227,0.00035409923,0.005157347,0.004731052,0.0062017045,0.00025978108,0.0314577],"category_scores_gemma":[0.00034698864,0.0006062693,0.00023986345,0.0015683919,0.00070479,0.0007888606,0.014035661,0.0012204507,0.023597218],"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":[0.00005470226,0.0002862844,0.000015345046,0.00027761047,0.00019687516,0.00014595072,0.010488766,0.000085704516,0.00615312,0.029610202,0.9236364,0.029049091],"study_design_scores_gemma":[0.00044345958,0.00049472315,0.000036769645,0.00023881088,0.00004826784,0.000113320864,0.00034852335,0.12765615,0.0024667627,0.0006885588,0.8667878,0.0006768891],"about_ca_topic_score_codex":0.0005749278,"about_ca_topic_score_gemma":0.0000015452772,"teacher_disagreement_score":0.77820516,"about_ca_system_score_codex":0.0004856468,"about_ca_system_score_gemma":0.000028608445,"threshold_uncertainty_score":0.99963886},"labels":[],"label_agreement":null},{"id":"W7118128739","doi":"10.5281/zenodo.18138278","title":"Quad Convergence IoT-Blockchain-AI-CyberSecurity Unified by Diversity, Driven by Convergence","year":2024,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Internet of Things and AI","field":"Computer Science","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":"Marriott International (Canada)","funders":"","keywords":"Convergence (economics); Power (physics); Current (fluid); Compact convergence","score_opus":0.02191835086168459,"score_gpt":0.23984992601592375,"score_spread":0.21793157515423917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7118128739","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20731819,0.011345582,0.53003323,0.054756735,0.01738938,0.0049103145,0.007949608,0.012002194,0.15429477],"genre_scores_gemma":[0.98552334,0.0005982687,0.00022018173,0.0010323743,0.00023618025,5.5253977e-8,0.00050522736,0.0010198676,0.0108645195],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943488,0.0007371517,0.0006679128,0.0017270204,0.0013654182,0.0011536588],"domain_scores_gemma":[0.99690795,0.00007145561,0.00023248751,0.0010931088,0.001017462,0.0006775377],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.0013979714,0.0005283463,0.0004138227,0.00035409923,0.005157347,0.004731052,0.0062017045,0.00025978108,0.0314577],"category_scores_gemma":[0.00034698864,0.0006062693,0.00023986345,0.0015683919,0.00070479,0.0007888606,0.014035661,0.0012204507,0.023597218],"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":[0.00005470226,0.0002862844,0.000015345046,0.00027761047,0.00019687516,0.00014595072,0.010488766,0.000085704516,0.00615312,0.029610202,0.9236364,0.029049091],"study_design_scores_gemma":[0.00044345958,0.00049472315,0.000036769645,0.00023881088,0.00004826784,0.000113320864,0.00034852335,0.12765615,0.0024667627,0.0006885588,0.8667878,0.0006768891],"about_ca_topic_score_codex":0.0005749278,"about_ca_topic_score_gemma":0.0000015452772,"teacher_disagreement_score":0.77820516,"about_ca_system_score_codex":0.0004856468,"about_ca_system_score_gemma":0.000028608445,"threshold_uncertainty_score":0.99963886},"labels":[],"label_agreement":null},{"id":"W7118132588","doi":"10.5281/zenodo.18138675","title":"The Role of AI in Employment","year":2024,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Internet of Things and AI","field":"Computer Science","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":"Bishop's University","funders":"","keywords":"Robotics; Applications of artificial intelligence; Working life; Robot; Artificial intelligence, situated approach","score_opus":0.01748496928049589,"score_gpt":0.24698587161645824,"score_spread":0.22950090233596235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7118132588","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":[0.048531495,0.024312153,0.06843219,0.054373853,0.0048693237,0.0030129075,0.00031949632,0.0027918124,0.7933568],"genre_scores_gemma":[0.99482244,0.00040728683,0.000121108154,0.00017264229,0.00014812195,2.4858558e-8,0.00003597862,0.00072249124,0.0035699096],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99754834,0.00037890996,0.00047444733,0.0005286966,0.0005710281,0.0004985811],"domain_scores_gemma":[0.9986934,0.000054522545,0.0000909806,0.00064477243,0.00039509055,0.00012122772],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015631246,0.00016744784,0.00015957069,0.00027294597,0.0013134001,0.0038118884,0.0029723954,0.00006665533,0.002324773],"category_scores_gemma":[0.00026122414,0.00014045891,0.00010043376,0.0009512006,0.00024622565,0.000524813,0.0033643744,0.00057567295,0.005109096],"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":[0.00003034756,0.00011891575,0.000001993339,0.00007346753,0.000051086077,0.000028962162,0.0053729,0.000069298185,0.0032036859,0.240475,0.057429086,0.6931453],"study_design_scores_gemma":[0.00014722567,0.00030162098,0.00013141014,0.00023507021,0.0000073082497,0.00005203231,0.00025655475,0.05601883,0.0021811419,0.0041037593,0.93642354,0.00014149405],"about_ca_topic_score_codex":0.00008132052,"about_ca_topic_score_gemma":0.0000012193701,"teacher_disagreement_score":0.94629097,"about_ca_system_score_codex":0.00019103364,"about_ca_system_score_gemma":0.000013641901,"threshold_uncertainty_score":0.99998677},"labels":[],"label_agreement":null},{"id":"W7123652125","doi":"10.1109/icced68324.2025.11324763","title":"Enterprise AI Agents: Secure, Scalable, and Autonomous Intelligence for the Modern Workforce","year":2025,"lang":"","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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":"Workforce; Industry 4.0; Cloud computing; Relevance (law); Applications of artificial intelligence; Workforce planning; Automation; Set (abstract data type)","score_opus":0.018415391473443173,"score_gpt":0.28765158877517555,"score_spread":0.26923619730173237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7123652125","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":[0.0005220868,0.0044129244,0.95842904,0.018626574,0.0025240043,0.0009570014,0.000007905304,0.000101752106,0.01441874],"genre_scores_gemma":[0.8403117,0.0008840269,0.012497709,0.020980878,0.00013847424,0.00008882798,0.0000012456577,0.0000215345,0.12507561],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99726766,0.00005913113,0.00067269505,0.0009681881,0.00028175928,0.00075058214],"domain_scores_gemma":[0.99797976,0.00047862332,0.00016939788,0.00095894275,0.00026304583,0.00015024126],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00072559924,0.0004187829,0.00036065915,0.00014569223,0.0006137718,0.0019171652,0.002366656,0.00017756657,0.0001242691],"category_scores_gemma":[0.000112098685,0.00029665438,0.00024270815,0.00043355214,0.00027648258,0.0007512923,0.0016161209,0.00041938882,0.000027646673],"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":[0.0000663604,0.00012955185,0.0001055937,0.00011308145,0.00014720055,0.0000051191582,0.0031609086,0.0025684398,0.000014811109,0.27009124,0.02591365,0.69768405],"study_design_scores_gemma":[0.00023323408,0.00013074225,0.000057019653,0.0003457829,0.000060496717,0.000009037491,0.000100129175,0.8445542,0.00078442664,0.06262881,0.09082084,0.0002753009],"about_ca_topic_score_codex":0.0001782996,"about_ca_topic_score_gemma":0.00003370734,"teacher_disagreement_score":0.9459313,"about_ca_system_score_codex":0.00010133524,"about_ca_system_score_gemma":0.00020404533,"threshold_uncertainty_score":0.99994856},"labels":[],"label_agreement":null},{"id":"W7124559544","doi":"10.5281/zenodo.18275785","title":"Artificial Intelligence (AI) as a Catalyst for IT Skills Enhancement","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Internet of Things and AI","field":"Computer Science","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":"St. Clair College","funders":"","keywords":"Certification; Audit; Computer forensics; Information technology; Information assurance; Expert system; Confidentiality; Professional development","score_opus":0.0259089710877447,"score_gpt":0.28550161266201934,"score_spread":0.25959264157427464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7124559544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009956072,0.000034082215,0.92220306,0.009232123,0.00032786,0.00044369395,0.000022983711,0.0003817161,0.06635888],"genre_scores_gemma":[0.9708578,0.00004121835,0.007953828,0.004471691,0.00021398747,4.081927e-7,0.0003540778,0.00050055113,0.015606449],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854577,0.000084206455,0.0002939196,0.0004655323,0.00026602476,0.00034457113],"domain_scores_gemma":[0.99877584,0.000034803168,0.00008071844,0.00050085183,0.0005166033,0.00009119681],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006298425,0.00012257553,0.00012497144,0.0002123238,0.0012258153,0.0013712603,0.0020690253,0.000046202695,0.0017341826],"category_scores_gemma":[0.00051927555,0.0001260606,0.000070554255,0.0004995921,0.00007889793,0.00035837115,0.0015120216,0.00016327704,0.0046112807],"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":[0.000030594303,0.00020647241,2.1016542e-7,0.000049530896,0.00003947411,0.0000056341078,0.0014404008,0.000047141457,0.0037937884,0.4078754,0.21770397,0.3688074],"study_design_scores_gemma":[0.00008200978,0.00023172723,0.0000064988335,0.00006043865,0.000007322931,0.000014508337,0.000113904476,0.0077419993,0.036188144,0.013790108,0.94161814,0.00014519333],"about_ca_topic_score_codex":0.000020137735,"about_ca_topic_score_gemma":5.425832e-7,"teacher_disagreement_score":0.96986216,"about_ca_system_score_codex":0.00012617328,"about_ca_system_score_gemma":0.000009933194,"threshold_uncertainty_score":0.99966544},"labels":[],"label_agreement":null},{"id":"W7124572605","doi":"10.5281/zenodo.18275786","title":"Artificial Intelligence (AI) as a Catalyst for IT Skills Enhancement","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Internet of Things and AI","field":"Computer Science","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":"St. Clair College","funders":"","keywords":"Certification; Audit; Computer forensics; Information technology; Information assurance; Expert system; Confidentiality; Professional development","score_opus":0.0259089710877447,"score_gpt":0.28550161266201934,"score_spread":0.25959264157427464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7124572605","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009956072,0.000034082215,0.92220306,0.009232123,0.00032786,0.00044369395,0.000022983711,0.0003817161,0.06635888],"genre_scores_gemma":[0.9708578,0.00004121835,0.007953828,0.004471691,0.00021398747,4.081927e-7,0.0003540778,0.00050055113,0.015606449],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854577,0.000084206455,0.0002939196,0.0004655323,0.00026602476,0.00034457113],"domain_scores_gemma":[0.99877584,0.000034803168,0.00008071844,0.00050085183,0.0005166033,0.00009119681],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006298425,0.00012257553,0.00012497144,0.0002123238,0.0012258153,0.0013712603,0.0020690253,0.000046202695,0.0017341826],"category_scores_gemma":[0.00051927555,0.0001260606,0.000070554255,0.0004995921,0.00007889793,0.00035837115,0.0015120216,0.00016327704,0.0046112807],"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":[0.000030594303,0.00020647241,2.1016542e-7,0.000049530896,0.00003947411,0.0000056341078,0.0014404008,0.000047141457,0.0037937884,0.4078754,0.21770397,0.3688074],"study_design_scores_gemma":[0.00008200978,0.00023172723,0.0000064988335,0.00006043865,0.000007322931,0.000014508337,0.000113904476,0.0077419993,0.036188144,0.013790108,0.94161814,0.00014519333],"about_ca_topic_score_codex":0.000020137735,"about_ca_topic_score_gemma":5.425832e-7,"teacher_disagreement_score":0.96986216,"about_ca_system_score_codex":0.00012617328,"about_ca_system_score_gemma":0.000009933194,"threshold_uncertainty_score":0.99966544},"labels":[],"label_agreement":null},{"id":"W7140800930","doi":"10.1109/sisimpact67725.2025.11439663","title":"AI-Powered Blockchain Frameworks for Securing Healthcare Data against Emerging Cybersecurity Threats","year":2025,"lang":"","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Blockchain; Health care; Data breach; Confidentiality; Vulnerability (computing); Context (archaeology); Government (linguistics); Key (lock)","score_opus":0.032016939369336875,"score_gpt":0.3456909107840451,"score_spread":0.31367397141470826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7140800930","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003403935,0.0070085754,0.834786,0.1337138,0.00903852,0.0015231011,0.00020622532,0.00040661896,0.009913246],"genre_scores_gemma":[0.91892457,0.0004928047,0.03703662,0.03840851,0.00064314477,0.000043992175,0.00007692242,0.000048952064,0.004324488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99379915,0.00017145302,0.0012595507,0.0025157095,0.0006123259,0.0016418258],"domain_scores_gemma":[0.9943457,0.00035886004,0.00039612377,0.004040206,0.00048609782,0.00037297184],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0017731223,0.0007331857,0.0008451673,0.00040782397,0.0010549409,0.0014141618,0.0065105218,0.00093801535,0.00009237956],"category_scores_gemma":[0.00029959096,0.0007536723,0.00036637863,0.0009196844,0.00015065509,0.0009335682,0.006274756,0.0021179037,0.00002658228],"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":[0.00010983963,0.00036375262,0.00025258894,0.001108394,0.00040744577,0.000052421015,0.0075283838,0.00046580486,0.000062525956,0.6112116,0.040235095,0.33820212],"study_design_scores_gemma":[0.00096618966,0.00015164725,0.000033741722,0.0021859063,0.000058684982,0.0000056703943,0.00068950735,0.8985312,0.000783313,0.05987502,0.035935502,0.00078362186],"about_ca_topic_score_codex":0.0006810184,"about_ca_topic_score_gemma":0.00063528697,"teacher_disagreement_score":0.9155206,"about_ca_system_score_codex":0.0002582057,"about_ca_system_score_gemma":0.0006325447,"threshold_uncertainty_score":0.99962246},"labels":[],"label_agreement":null},{"id":"W7160182144","doi":"10.1515/9783112221082-029","title":"341AI-Powered Disaster Management in Smart Cities Using YOLOv5 and Ant Colony Optimization (ACO)","year":2025,"lang":"","type":"book-chapter","venue":"","topic":"Internet of Things and AI","field":"Computer Science","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 Canada West","funders":"","keywords":"Emergency management; Ant colony optimization algorithms; Natural disaster; Key (lock); Ant colony","score_opus":0.019128746228888008,"score_gpt":0.24095998505932445,"score_spread":0.22183123883043643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160182144","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":[0.0007918321,0.00049522583,0.45067436,0.0008071242,0.0022650477,0.0008679636,0.000011954994,0.0000677747,0.54401875],"genre_scores_gemma":[0.049752355,0.0019637493,0.19127548,0.0026620622,0.00016037794,0.00002121777,0.000029538161,0.00006695373,0.75406826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966294,0.000057300116,0.0009917296,0.0012453926,0.0004828896,0.00059327035],"domain_scores_gemma":[0.99861294,0.00007874785,0.00037394822,0.00066552573,0.00014551707,0.00012334876],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042787386,0.00070714625,0.00074793195,0.0007680195,0.00022205323,0.0010319883,0.00092399673,0.00036799454,0.0007153082],"category_scores_gemma":[0.000011612753,0.00069721666,0.00017605758,0.00014497396,0.00026284787,0.0007343054,0.0023952813,0.00042279487,0.00002319969],"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":[0.0001179314,0.00010956128,0.00015229777,0.0005614413,0.00038059652,0.00030278278,0.0027901165,0.012446129,0.0000100362795,0.96255857,0.0012475852,0.019322956],"study_design_scores_gemma":[0.00097620196,0.00017153866,0.000081907856,0.002498878,0.00013935297,0.000031803494,0.0003563421,0.9661054,0.000031110143,0.0060000247,0.022585731,0.0010217379],"about_ca_topic_score_codex":0.00027325016,"about_ca_topic_score_gemma":0.000056222616,"teacher_disagreement_score":0.9565585,"about_ca_system_score_codex":0.0002518357,"about_ca_system_score_gemma":0.00007291121,"threshold_uncertainty_score":0.9995479},"labels":[],"label_agreement":null},{"id":"W968045710","doi":"10.1017/cbo9780511794797","title":"Artificial Intelligence","year":2010,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Internet of Things and AI","field":"Computer Science","cited_by":415,"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; Field (mathematics); Appeal; Graduate students; Artificial intelligence; Science and engineering; Applications of artificial intelligence; Space (punctuation); Representation (politics); Sight; Style (visual arts); Mathematics education; Engineering; Engineering ethics; Psychology; Pedagogy; Mathematics; Visual arts","score_opus":0.023038365784967988,"score_gpt":0.20673484923262336,"score_spread":0.18369648344765538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W968045710","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":[0.000015817586,0.000022298404,0.136789,0.000057914156,0.0011709236,0.00016810387,0.00002656617,0.00023720931,0.8615122],"genre_scores_gemma":[0.00030878253,0.000009982716,0.0032897464,0.0001605886,0.00032755322,3.9522425e-7,0.000011314011,0.000021277136,0.99587035],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998449,0.00003579177,0.00020274075,0.0006430439,0.00032244704,0.0003469365],"domain_scores_gemma":[0.99845636,0.00006217131,0.00022014526,0.0009281495,0.0001628453,0.00017032155],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014471405,0.00031325073,0.00030199168,0.00018252135,0.00017973671,0.00023849067,0.0029311688,0.0004643874,0.0000036246947],"category_scores_gemma":[0.000014053786,0.0003612413,0.00023049874,0.000016750197,0.00018947641,0.00022560322,0.0013702097,0.00104894,0.00008998183],"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":[0.0000083794885,0.000009761101,4.545101e-8,0.000022803104,0.000027016713,0.00023013978,0.0000614559,0.0000013968915,0.000060735005,0.8877326,0.0979066,0.013939051],"study_design_scores_gemma":[0.00002941292,0.000044987442,6.561462e-7,0.00007989384,0.00003022281,0.000022684668,0.000005857046,0.00222801,0.0036050633,0.0004166822,0.99311656,0.00041997727],"about_ca_topic_score_codex":0.000086298074,"about_ca_topic_score_gemma":0.0000032047785,"teacher_disagreement_score":0.89520997,"about_ca_system_score_codex":0.00016048733,"about_ca_system_score_gemma":0.00030560474,"threshold_uncertainty_score":0.99988395},"labels":[],"label_agreement":null}]}