{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":30,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":30,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"ff7c483ea4d1","filters":{"venue":"Bioinformation"}},"results":[{"id":"W2059720052","doi":"10.6026/97320630010652","title":"Structure based virtual screening of ligands to identify cysteinyl leukotriene receptor 1 antagonist","year":2014,"lang":"en","type":"article","venue":"Bioinformation","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Institute of Genetics","keywords":"Zafirlukast; Montelukast; Leukotriene receptor; Virtual screening; Antagonist; PubChem; Pharmacology; Leukotriene; Chemistry; Leukotriene E4; Receptor; Ligand (biochemistry); Medicine; Asthma; Stereochemistry; Biochemistry; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.00779094139701068,"gpt":0.2766909135374365,"spread":0.2688999721404258,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001071364,0.00009150905,0.00008811909,0.00005436747,0.00007927905,0.00002012581,0.0001108938,0.000101019,0.000005856225],"category_scores_gemma":[0.00006055757,0.00008642309,0.00004285617,0.0001245603,0.00003179227,0.00001006095,0.00004772116,0.00003805252,0.000005630747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009223606,"about_ca_system_score_gemma":0.00002066428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005167744,"about_ca_topic_score_gemma":0.000004133519,"domain_scores_codex":[0.9994258,0.000008720487,0.0002304704,0.000121704,0.0001035367,0.000109821],"domain_scores_gemma":[0.9994411,0.000006114076,0.0001333041,0.0002633131,0.0001047617,0.00005135603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003810652,0.000006617377,0.0000838799,0.00001092472,0.000003952284,1.483423e-8,0.00002064853,0.00040252,0.978037,0.0003921699,0.001359334,0.01964481],"study_design_scores_gemma":[0.0002149931,0.0002212811,0.0008427789,0.0000198938,0.000004702233,0.000001651943,0.00002973361,0.002422616,0.9493415,0.00002952466,0.04676034,0.0001110273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4962865,0.000005653154,0.5031058,0.0001414276,0.0000433418,0.00014476,0.00005721788,0.00002720504,0.0001881556],"genre_scores_gemma":[0.939456,0.000004068106,0.05944997,0.0002823994,0.00009595865,0.000006755585,0.0006458831,0.00000874766,0.00005022334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4436558,"threshold_uncertainty_score":0.3524231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2794980207","doi":"10.6026/97320630014123","title":"Identification of cis-regulatory elements associated with salinity and drought stress tolerance in rice from co-expressed gene interaction networks","year":2018,"lang":"en","type":"article","venue":"Bioinformation","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Emergent BioSolutions (Canada)","funders":"Indian Council of Agricultural Research","keywords":"Identification (biology); Gene; Gene regulatory network; Salinity; Computational biology; Drought stress; Biology; Drought tolerance; Genetics; Bioinformatics; Gene expression; Botany; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.009431287880578534,"gpt":0.2315174533076657,"spread":0.2220861654270871,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001392183,0.00006441006,0.00007460517,0.00003332443,0.00005097409,0.00002138121,0.00005392586,0.0000759393,0.000007005662],"category_scores_gemma":[0.00002232233,0.00006040939,0.00001235045,0.00005156631,0.00004126694,0.00001899001,0.00002069848,0.00003022822,0.00000181018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008729729,"about_ca_system_score_gemma":0.00001216217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004957323,"about_ca_topic_score_gemma":0.0000552532,"domain_scores_codex":[0.9994791,0.00002452178,0.000227513,0.0001037291,0.00008608543,0.00007909694],"domain_scores_gemma":[0.9995569,0.000008561129,0.000230306,0.0001000698,0.00008280225,0.00002134546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005024883,0.0001524184,0.09173896,0.00004520533,0.00009465592,4.6119e-7,0.001132365,0.001491509,0.8993775,0.0000154438,0.001020367,0.004428634],"study_design_scores_gemma":[0.001022577,0.0002218041,0.5660679,0.00008467525,0.00001891357,7.914846e-7,0.000463723,0.02500085,0.4065881,0.0000127038,0.0003683462,0.0001496095],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952656,0.00003928789,0.004165115,0.000008612071,0.0000665429,0.00008996249,0.0001208668,0.000005401043,0.0002385978],"genre_scores_gemma":[0.998802,0.00006446288,0.0001537556,0.00003649217,0.0000572355,0.000002683476,0.0008505395,0.000002553351,0.0000302636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4927894,"threshold_uncertainty_score":0.2463424,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401369586","doi":"10.6026/973206300200547","title":"Application of CAD-CAM in Dentistry","year":2024,"lang":"en","type":"article","venue":"Bioinformation","topic":"Dental materials and restorations","field":"Dentistry","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"George Brown College","funders":"","keywords":"CAD; Inlay; Dentistry; Computer-aided manufacturing; Medicine; Computer Aided Design; Computer science; Orthodontics; Engineering drawing; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0109472896612191,"gpt":0.2798292296549186,"spread":0.2688819399936995,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001019361,0.00004441609,0.00005840281,0.000108935,0.00001783486,0.00006356619,0.00005477068,0.0000552913,0.00007990836],"category_scores_gemma":[0.000009537732,0.0000403628,0.00002536401,0.0001868208,0.0000151852,0.0004128968,0.0000169888,0.00003549737,0.0009612595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003822485,"about_ca_system_score_gemma":0.0000183391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001112472,"about_ca_topic_score_gemma":0.00009089196,"domain_scores_codex":[0.9994893,0.000008088095,0.0002767089,0.00005597779,0.000109806,0.00006008801],"domain_scores_gemma":[0.999809,0.00001044898,0.00005201971,0.00009510029,0.00001897102,0.00001450495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009256268,0.0002933565,0.03403403,0.002896055,0.00007586271,0.00005110417,0.002840481,0.001266643,0.4953434,0.1872525,0.01498551,0.2608684],"study_design_scores_gemma":[0.0008241706,0.00006504209,0.7059463,0.0003830155,0.00003186729,0.0002485659,0.0008078106,0.1082002,0.1028751,0.00215125,0.07804132,0.0004253143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807833,0.0001664132,0.01204732,0.0000307197,0.001129721,0.0001739383,0.00005154911,0.00007129146,0.005545718],"genre_scores_gemma":[0.9993039,0.00001269621,0.0002082226,0.000008543229,0.00004838419,0.00002082012,0.0001483969,0.000004397586,0.0002445771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6719123,"threshold_uncertainty_score":0.9998166,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2954031573","doi":"10.6026/97320630015032","title":"Phytochemicals as alternatives to antibiotics against major pathogens involved in bovine respiratory disease (BRD) and bovine mastitis (BM)","year":2019,"lang":"en","type":"article","venue":"Bioinformation","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Mitacs","keywords":"Bovine respiratory disease; Mastitis; Antimicrobial; Eugenol; Antibiotics; Medicine; Allyl isothiocyanate; Feedlot; Microbiology; Biology; Chemistry; Animal science","retraction":null,"screen_n_in":null,"score":{"opus":0.01272552619346611,"gpt":0.2651534270658887,"spread":0.2524279008724226,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000200935,0.0001457222,0.0001789319,0.0003051542,0.00008963206,0.00004443666,0.00009870841,0.0001124805,0.000378749],"category_scores_gemma":[0.0001634826,0.0001371145,0.00004768477,0.0002268776,0.00007491077,0.0002991619,0.0001311112,0.0001440794,0.001552775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006968523,"about_ca_system_score_gemma":0.00009927757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006666645,"about_ca_topic_score_gemma":0.000039317,"domain_scores_codex":[0.9990641,0.00006856184,0.0003235062,0.0002030049,0.00005315014,0.0002876848],"domain_scores_gemma":[0.9994565,0.00004596656,0.00008063718,0.0002274574,0.00008939549,0.0001000172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005523313,0.0001470737,0.04013898,0.0001714901,0.00003976903,0.000006708907,0.000309065,0.00001874445,0.9487544,0.0006322113,0.002708641,0.006520619],"study_design_scores_gemma":[0.009482012,0.001583094,0.2889592,0.0008065084,0.00007452028,0.00002173933,0.001421594,0.0007968593,0.5862671,0.000335937,0.1088455,0.001405968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959865,0.0007178399,0.0001172786,0.0002021987,0.0001821156,0.0006207488,0.0002113756,0.00004481521,0.001917178],"genre_scores_gemma":[0.998204,0.0001385258,0.00007447663,0.0006854749,0.00003039108,0.000007220443,0.0003589145,0.0000108056,0.0004902211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3624873,"threshold_uncertainty_score":0.9992246,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2911042793","doi":"10.6026/97320630014482","title":"Molecular docking analysis of Cianidanol from Ginkgo biloba with HER2+ breast cancer target","year":2018,"lang":"en","type":"article","venue":"Bioinformation","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ebro Foods (Canada)","funders":"","keywords":"Lapatinib; Ginkgo biloba; Trastuzumab emtansine; Trastuzumab; Medicine; Breast cancer; Pharmacology; Docking (animal); Cancer; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01444380488681615,"gpt":0.317439297106373,"spread":0.3029954922195569,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001743407,0.0001120446,0.0002746376,0.0003998481,0.00004961361,0.00002675068,0.0001062685,0.00007619205,0.001404702],"category_scores_gemma":[0.00002357578,0.00008579034,0.00008056437,0.001309745,0.0001065988,0.0002332304,0.00003313947,0.0001000479,0.00005751378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001975817,"about_ca_system_score_gemma":0.0002453819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002620503,"about_ca_topic_score_gemma":0.00035129,"domain_scores_codex":[0.998726,0.00002221689,0.0003105689,0.0001405746,0.0005815619,0.0002190399],"domain_scores_gemma":[0.9989373,0.00001715353,0.0001651543,0.000343588,0.0004335471,0.000103244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001870046,0.0002566807,0.7770591,0.0005910511,0.006285229,0.00003373393,0.008023596,0.004227431,0.04279442,0.0004306583,0.005087558,0.1533405],"study_design_scores_gemma":[0.001860418,0.0005077315,0.7135015,0.0004989172,0.00134986,0.00001574306,0.000693027,0.1583907,0.1141317,0.00004168212,0.008675276,0.0003333912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846064,0.0001316854,0.006348133,0.0008901281,0.00007829267,0.000346302,0.0002538745,0.00005768342,0.00728748],"genre_scores_gemma":[0.9969479,0.00003128737,0.002300626,0.0003292152,0.0001340658,0.00002411341,0.0001883608,0.00001329884,0.00003112678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1541633,"threshold_uncertainty_score":0.9995081,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2002159909","doi":"10.6026/97320630004164","title":"Predicting highly-connected hubs in protein interaction networks by QSAR and biological data descriptors","year":2009,"lang":"en","type":"article","venue":"Bioinformation","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Michael Smith Health Research BC; Genome Canada","keywords":"Quantitative structure–activity relationship; Computational biology; Computer science; Protein–protein interaction; Protein Interaction Networks; Drosophila melanogaster; Interaction network; Machine learning; Artificial intelligence; Biology; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.01772903511318163,"gpt":0.2372680767003532,"spread":0.2195390415871716,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003367404,0.0001408867,0.0001181641,0.0000523221,0.00007236724,0.00006983197,0.0001875339,0.0002351739,0.000004954416],"category_scores_gemma":[0.00006645179,0.0001240163,0.00002028739,0.0001059546,0.00003230178,0.00006472713,0.0001186626,0.0001436445,0.000003679513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002045262,"about_ca_system_score_gemma":0.00001633992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002257466,"about_ca_topic_score_gemma":0.00002636259,"domain_scores_codex":[0.9990791,0.00003186933,0.0003996508,0.0001932703,0.00007082169,0.0002252942],"domain_scores_gemma":[0.9994429,0.000008314213,0.0001636615,0.0002943616,0.00002929482,0.00006149337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008734547,0.0002617628,0.01393176,0.00009125451,0.00009986966,0.00000247766,0.000889192,0.001997907,0.1594712,0.0008739884,0.03101481,0.7904923],"study_design_scores_gemma":[0.00253813,0.001205591,0.02204465,0.0001718722,0.00002144083,0.00004433699,0.0007813533,0.8962077,0.01475984,0.0003188441,0.06103639,0.0008698174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702932,0.0004389251,0.02757099,0.0001882121,0.0001443576,0.0004272351,0.0000329322,0.00003321061,0.0008709859],"genre_scores_gemma":[0.995768,0.0001748611,0.001089588,0.000322859,0.0001367983,0.000008966021,0.002465241,0.000005545891,0.00002816283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8942098,"threshold_uncertainty_score":0.5057239,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3118524654","doi":"10.6026/97320630016974","title":"Concerns on oral health care services for adults with cognitive and intellectual disabilities","year":2020,"lang":"en","type":"article","venue":"Bioinformation","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Context (archaeology); Medicine; Intellectual disability; Protocol (science); Health care; Oral health; Agency (philosophy); Scale (ratio); Family medicine; Dental care; MEDLINE; Cognition; Nursing; Medical education; Alternative medicine; Psychiatry","retraction":null,"screen_n_in":null,"score":{"opus":0.02977605659422807,"gpt":0.3158467861139201,"spread":0.286070729519692,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003627805,0.00008733491,0.000104729,0.00002398353,0.0001246006,0.00005124383,0.00003524251,0.00003899957,0.00003145614],"category_scores_gemma":[0.00008126992,0.00007208998,0.00001749178,0.00007776633,0.00003482058,0.0003079769,0.00001378708,0.00004366953,0.00006389617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005254581,"about_ca_system_score_gemma":0.00005002217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008490722,"about_ca_topic_score_gemma":0.0009385304,"domain_scores_codex":[0.9994187,0.00001664418,0.0001882203,0.0001085992,0.000136092,0.0001317335],"domain_scores_gemma":[0.9995191,0.0001176438,0.00009138716,0.00004152652,0.000122917,0.0001073984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.008520696,0.00004630729,0.01008539,0.01156713,0.00003430524,9.462257e-7,0.3439519,0.0000179956,0.000002115316,0.001158518,0.007423837,0.6171909],"study_design_scores_gemma":[0.005555319,0.005254118,0.01673603,0.0007136588,0.00002768689,0.00001384346,0.9409275,0.01776473,0.0007162678,0.00001376393,0.01194762,0.0003294323],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942144,0.00025127,0.002401349,0.0001914301,0.0001340591,0.001004471,0.0005081297,0.00009622829,0.001198627],"genre_scores_gemma":[0.9956053,0.00002608549,0.00009832153,0.002765059,0.00006857504,0.00004055569,0.001368416,0.00000764861,0.00001996215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6168615,"threshold_uncertainty_score":0.2939744,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2794511584","doi":"10.6026/97320630014048","title":"Hypothetical endogenous SIV-like antigens in Mauritian cynomolgus macaques","year":2018,"lang":"en","type":"article","venue":"Bioinformation","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Public Health Agency of Canada; University of Manitoba","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Simian immunodeficiency virus; Virology; Antigen; Antibody; Biology; Endogeny; Vaccination; Macaque; Immunology; Rhesus macaque; HIV vaccine; Lentivirus; Virus; Vaccine trial; Viral disease","retraction":null,"screen_n_in":null,"score":{"opus":0.02726858577737255,"gpt":0.2556138075882078,"spread":0.2283452218108352,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001175913,0.00009401682,0.000108007,0.0001469435,0.0001213222,0.00001925664,0.0000943207,0.0001216331,0.0009282168],"category_scores_gemma":[0.0000255053,0.00007849516,0.00003615008,0.0001021737,0.0001751391,0.0001642246,0.00003519838,0.0001000164,0.01335493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000616248,"about_ca_system_score_gemma":0.00005017903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001312032,"about_ca_topic_score_gemma":0.0001225422,"domain_scores_codex":[0.9992567,0.00005232199,0.0002095836,0.0001021106,0.00003784614,0.0003414707],"domain_scores_gemma":[0.9997083,0.00002764088,0.00003606376,0.0001530847,0.00004738165,0.00002753048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001226109,0.001218798,0.03167253,0.0001366258,0.0003938709,0.0001708601,0.01597162,0.000003204824,0.3500607,0.00654756,0.02745206,0.5651461],"study_design_scores_gemma":[0.00724052,0.002510158,0.09226107,0.0000967673,0.00003572111,0.001014616,0.00136251,0.0001826081,0.5062171,0.0006170567,0.3877941,0.0006677903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259673,0.0006585887,0.0003464497,0.0003303355,0.0003970199,0.0004940991,0.000130407,0.0001112353,0.0715646],"genre_scores_gemma":[0.9986236,0.0000745315,0.0002467341,0.0001171177,0.00003017769,0.00001941928,0.0003636202,0.000005606149,0.0005191714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5644783,"threshold_uncertainty_score":0.9999851,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1983376659","doi":"10.6026/97320630002078","title":"Photosensitivity in Smith-Lemli-Opitz syndrome: A flux balance analysis of altered metabolism","year":2007,"lang":"en","type":"article","venue":"Bioinformation","topic":"Cholesterol and Lipid Metabolism","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SKiN Health","funders":"","keywords":"Smith–Lemli–Opitz syndrome; Photosensitivity; Flux (metallurgy); Cholesterol; Enzyme; Reductase; Medicine; Chemistry; Biochemistry; Internal medicine; Physics; 7-Dehydrocholesterol reductase","retraction":null,"screen_n_in":null,"score":{"opus":0.01048109859163318,"gpt":0.264309856328112,"spread":0.2538287577364788,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007455429,0.0001325292,0.0005544295,0.0009235211,0.00002312,0.00000850142,0.00005659779,0.0001005882,0.00005605097],"category_scores_gemma":[0.00006221046,0.0001155648,0.0001709567,0.001385794,0.00004013504,0.000340516,0.00001892225,0.0001296472,0.00002935815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004027663,"about_ca_system_score_gemma":0.00004087126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001090348,"about_ca_topic_score_gemma":0.00008474917,"domain_scores_codex":[0.9986671,0.0000246887,0.0006335392,0.000130283,0.0003089221,0.0002355165],"domain_scores_gemma":[0.9992202,0.00004301336,0.0002402045,0.0002945282,0.000105069,0.00009700798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007263015,0.001963302,0.4134374,0.001794055,0.00511899,0.0001737498,0.03582335,0.000772012,0.2620871,0.002193581,0.001150063,0.2682233],"study_design_scores_gemma":[0.002059738,0.00003360095,0.9733552,0.00005201698,0.0006359956,0.00003745899,0.0001893335,0.007245524,0.01235401,0.000005704016,0.003927212,0.0001041462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948539,0.0002088856,0.001710289,0.00006071006,0.0002187501,0.0003097033,0.00002686752,0.0000361754,0.002574787],"genre_scores_gemma":[0.9982578,0.00004133485,0.001051122,0.0002513549,0.00007256994,0.000005551859,0.0001620771,0.000006858477,0.0001513504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5599179,"threshold_uncertainty_score":0.4712596,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3018257973","doi":"10.6026/97320630016393","title":"A short review on Genome-Wide Association Studies","year":2020,"lang":"en","type":"review","venue":"Bioinformation","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Genome-wide association study; Genetic association; Reliability (semiconductor); Statistical power; Association (psychology); Computer science; Computational biology; Data mining; Data science; Medicine; Statistics; Power (physics); Biology; Genetics; Single-nucleotide polymorphism; Mathematics; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.05720495210528628,"gpt":0.3522636734418511,"spread":0.2950587213365647,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007528245,0.0003364265,0.001165174,0.00007223368,0.00009405999,0.00001743717,0.0002067916,0.0004478578,0.00001143209],"category_scores_gemma":[0.00408292,0.0002729826,0.0004463061,0.000195041,0.00001720416,0.000005841054,0.0001111722,0.0001935125,0.0004629135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002930396,"about_ca_system_score_gemma":0.0001543772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.616673e-7,"about_ca_topic_score_gemma":0.000001870842,"domain_scores_codex":[0.9981135,0.0002177714,0.000916304,0.0002932695,0.0001992223,0.0002599535],"domain_scores_gemma":[0.9984942,0.0001970839,0.0007478023,0.0003228914,0.000165446,0.00007254942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002756035,0.00001375614,0.0001458301,0.01240144,0.0005596475,5.923796e-7,0.00002462472,0.000003477759,4.622282e-7,0.00001131082,0.1378824,0.8489537],"study_design_scores_gemma":[0.00005456394,0.0001216984,0.0002321442,0.003461816,0.0004138494,0.000003299373,0.00001087622,0.000003884713,8.724592e-7,0.00000608244,0.9954294,0.0002614903],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000005126308,0.996214,0.0001457619,0.0007078595,0.0002456995,0.0008409398,0.00007015766,0.00002505226,0.001745406],"genre_scores_gemma":[0.000009962124,0.9921995,0.000294543,0.003321417,0.0003546597,0.0002051825,0.003064951,0.00002628707,0.0005234819],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.857547,"threshold_uncertainty_score":0.9999722,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2028968279","doi":"10.6026/97320630001360","title":"xGENIA: A comprehensive OWL ontology based on the GENIA corpus","year":2007,"lang":"en","type":"article","venue":"Bioinformation","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Ontology; Annotation; Natural language processing; Information retrieval; Open Biomedical Ontologies; Taxonomy (biology); Benchmark (surveying); Unified Medical Language System; Artificial intelligence; Ontology alignment; Semantic Web; Ontology-based data integration","retraction":null,"screen_n_in":null,"score":{"opus":0.02000502152063017,"gpt":0.2618774342371182,"spread":0.2418724127164881,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000242885,0.0001052271,0.00008544956,0.00004615758,0.0001102614,0.00001520632,0.000145579,0.0001848725,0.00002307394],"category_scores_gemma":[0.0001356984,0.00006825449,0.00005897432,0.00008146421,0.0001347209,0.000002575618,0.00003328589,0.00008812702,0.00009390977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001491051,"about_ca_system_score_gemma":0.00004051172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008625663,"about_ca_topic_score_gemma":0.00003611104,"domain_scores_codex":[0.9993147,0.0000291235,0.0002022415,0.0001141222,0.0001319444,0.0002079059],"domain_scores_gemma":[0.9994746,0.00007124646,0.00009450417,0.0002398849,0.00006979277,0.00004991623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001545398,0.0002103185,0.004209435,0.00009357893,0.0001398304,0.00001565053,0.0007278958,0.0002641594,0.177602,0.002033332,0.06565274,0.7475057],"study_design_scores_gemma":[0.001300865,0.001134004,0.05150856,0.00002738801,0.00002127468,0.00003981468,0.0006204476,0.007381001,0.1046405,0.00008596094,0.8328957,0.0003445494],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.900677,0.0003829156,0.0795622,0.00221262,0.0006362128,0.0003712548,0.00002296925,0.00008611113,0.01604877],"genre_scores_gemma":[0.9938442,0.00001766708,0.002289095,0.003420763,0.0001324013,0.000009810584,0.0001314445,0.000006252114,0.0001483619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7672429,"threshold_uncertainty_score":0.2783337,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386980000","doi":"10.6026/97320630019522","title":"Comparison of DBFS with MoCA and MMSE tools for MCI screening","year":2023,"lang":"en","type":"article","venue":"Bioinformation","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Test (biology); Cognition; Mini–Mental State Examination; Cognitive impairment; Medicine; Psychology; Psychiatry; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.08646883549359302,"gpt":0.3983434890560535,"spread":0.3118746535624605,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001900406,0.00004330307,0.0001024856,0.0001188085,0.00004526764,0.00002511543,0.00001820725,0.00002194536,0.0000191436],"category_scores_gemma":[0.00008363945,0.00003220112,0.00001793826,0.0001612606,0.00002772213,0.0002933525,0.00001588133,0.00003159863,0.00001418861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006906193,"about_ca_system_score_gemma":0.00002339168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000420087,"about_ca_topic_score_gemma":0.000001378579,"domain_scores_codex":[0.9995046,0.000004941514,0.0001503148,0.00004657956,0.0001825585,0.0001109719],"domain_scores_gemma":[0.9996418,0.00005552701,0.00005498571,0.0000531543,0.0001544169,0.00004005111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001211127,0.00007896981,0.2845453,0.0009437766,0.0001005351,0.00000149116,0.002065786,0.00002200566,0.004078214,0.0005330369,0.005528644,0.7008911],"study_design_scores_gemma":[0.003502329,0.001883786,0.8843934,0.000191224,0.00006691687,0.000007265853,0.00567371,0.06822531,0.02991618,0.00003294508,0.006013516,0.00009340149],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710169,0.00002044631,0.02271109,0.0004403467,0.00001362306,0.0006704658,0.00001295057,0.00004622055,0.005067907],"genre_scores_gemma":[0.9967284,0.0000130033,0.002625649,0.00006684375,0.00001645116,0.00003624101,0.0002275813,0.000003967774,0.000281887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7007977,"threshold_uncertainty_score":0.1313123,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2910231572","doi":"10.6026/97320630014511","title":"Antibacterial Activity study of Musizin isolated from Rhamnus wightii Wight &amp; Arn.","year":2018,"lang":"en","type":"article","venue":"Bioinformation","topic":"Essential Oils and Antimicrobial Activity","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Institute of Population and Public Health; King Saud University","keywords":"Bacillus cereus; Staphylococcus aureus; Microbiology; Klebsiella pneumonia; Antibacterial activity; Pseudomonas aeruginosa; Antibiotics; Bacteria; Cereus; Biology; Streptomycin; Minimum inhibitory concentration; Traditional medicine; Escherichia coli; Streptococcus; Medicine; Biochemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.01936317491221098,"gpt":0.225202859334491,"spread":0.20583968442228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001147653,0.0001197728,0.0001825969,0.00001530757,0.0001872231,0.00006773521,0.0001417707,0.00009091849,0.0005513973],"category_scores_gemma":[0.0000187703,0.0000495048,0.00005536407,0.0002502431,0.0000556598,0.0006465918,0.00006935073,0.00006459517,0.0001127989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001287647,"about_ca_system_score_gemma":0.000006526555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003145434,"about_ca_topic_score_gemma":0.004106903,"domain_scores_codex":[0.9992259,0.00005598699,0.0002507238,0.0001529244,0.000158343,0.000156134],"domain_scores_gemma":[0.9994779,0.00004415975,0.0002549799,0.00007150754,0.0001061062,0.00004540542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001888608,0.0003662986,0.001444946,0.000003751992,0.0000164217,2.433872e-7,0.0005677062,3.57801e-7,0.9576935,0.000005471383,0.000256323,0.0394561],"study_design_scores_gemma":[0.0007738942,0.001412092,0.6471687,0.00003742861,0.00003753782,0.000002173058,0.0002372299,0.0005173821,0.338522,0.00005428038,0.01089707,0.0003402346],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983683,0.000002063372,0.00005969727,0.0001172406,0.0004082338,0.0002326839,0.0000845354,0.00005540943,0.0006717871],"genre_scores_gemma":[0.9992751,0.000005400948,0.00006702838,0.00003215335,0.000442381,0.000001958512,0.0001299742,7.117303e-7,0.00004533055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6457238,"threshold_uncertainty_score":0.6037414,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2758935923","doi":"10.6026/97320630013313","title":"Use of a neural network to predict normalized signal strengths from a DNA-sequencing microarray","year":2017,"lang":"en","type":"article","venue":"Bioinformation","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"DNA microarray; Sequence (biology); DNA sequencing; Oligonucleotide; SIGNAL (programming language); Computer science; Mean squared error; Pattern recognition (psychology); Algorithm; Base (topology); Artificial neural network; DNA; Computational biology; Data mining; Bioinformatics; Artificial intelligence; Mathematics; Genetics; Statistics; Biology; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.01904467000262921,"gpt":0.2459415701902628,"spread":0.2268969001876336,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009855439,0.0001119459,0.0001430609,0.00003683444,0.0001638798,0.0001080204,0.0002189323,0.00009720513,0.00003743797],"category_scores_gemma":[0.0001559352,0.00009937934,0.0001023094,0.00004991796,0.00004832932,0.00007297329,0.0001057407,0.00004361355,0.00001727946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001864165,"about_ca_system_score_gemma":0.00005540241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007327263,"about_ca_topic_score_gemma":0.0002115138,"domain_scores_codex":[0.9992446,0.00001846995,0.0002946966,0.0001356933,0.0001288503,0.0001777068],"domain_scores_gemma":[0.999112,0.00001244044,0.0002823886,0.0004137953,0.0001017543,0.00007765103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000176697,0.00001114316,0.005946926,0.00001179186,0.00007226988,0.000001151404,0.0001775566,0.004746885,0.9708881,0.00001353594,0.001940268,0.01601366],"study_design_scores_gemma":[0.000710962,0.000365407,0.02602443,0.00007780873,0.00009322668,0.000005477405,0.0001703471,0.03710423,0.9197978,0.00005292698,0.01521175,0.0003856003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961274,0.00004698962,0.002976376,0.00009267527,0.00009106612,0.0001256521,0.0000880291,0.00001002766,0.0004417584],"genre_scores_gemma":[0.995128,0.00003059438,0.003774426,0.0002778608,0.0002069276,0.000008821471,0.0004733019,0.0000064674,0.00009360029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05109027,"threshold_uncertainty_score":0.4052572,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409026413","doi":"10.6026/973206300210489","title":"Artificial Intelligence in dentistry: Balancing innovation with ethical responsibility","year":2025,"lang":"en","type":"article","venue":"Bioinformation","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Transformative learning; Ethical issues; Computer science; Artificial intelligence; Engineering ethics; Knowledge management; Psychology; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1094961180045194,"gpt":0.4383803565657431,"spread":0.3288842385612237,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009681535,0.00007811932,0.0001238871,0.000464259,0.00007971523,0.00003396115,0.00004487913,0.0002036411,0.00003898634],"category_scores_gemma":[0.0009650401,0.00006798653,0.00001627633,0.001638768,0.00005762544,0.0002206943,0.00001338829,0.0003675987,0.00006066618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002590502,"about_ca_system_score_gemma":0.0005301545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002251966,"about_ca_topic_score_gemma":0.0003342768,"domain_scores_codex":[0.9987929,0.00003934635,0.000687419,0.000133768,0.000186045,0.0001605535],"domain_scores_gemma":[0.9992325,0.0001244441,0.0001002728,0.0001897254,0.0003225068,0.00003050315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001378792,0.0001369787,0.0601179,0.0003881234,0.0000112216,0.000005571867,0.002692851,0.0001695754,0.001672549,0.08801299,0.0003699774,0.8450435],"study_design_scores_gemma":[0.0001782428,0.0008600457,0.4878889,0.0020761,0.00007151873,0.00009286041,0.0160861,0.1251005,0.2960093,0.06730659,0.003765247,0.0005646584],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9013279,0.00001462961,0.08832775,0.006814098,0.000310535,0.0004414753,0.000001332286,0.00005154687,0.002710742],"genre_scores_gemma":[0.9953011,0.000007222421,0.003055353,0.001402949,0.00005457637,0.00002698911,0.00006980307,0.000003323008,0.0000787061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8444788,"threshold_uncertainty_score":0.277241,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2029437271","doi":"10.6026/97320630001058","title":"Prediction of HLA-A2 binding peptides using Bayesian network","year":2005,"lang":"en","type":"article","venue":"Bioinformation","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Hidden Markov model; Human leukocyte antigen; Artificial neural network; Computer science; Bayesian probability; Identification (biology); Receiver operating characteristic; Bayesian network; Artificial intelligence; Pattern recognition (psychology); Data mining; Machine learning; Computational biology; Antigen; Biology; Immunology","retraction":null,"screen_n_in":null,"score":{"opus":0.02287963888454217,"gpt":0.2295091661224574,"spread":0.2066295272379153,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002069608,0.0000991876,0.0000963992,0.00005618229,0.000091567,0.00002597504,0.00008949266,0.0001020997,0.00001272789],"category_scores_gemma":[0.00002040961,0.00009220341,0.00006424509,0.0001083314,0.00001808376,0.00004960478,0.00005021646,0.00004165046,0.00001026155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002049845,"about_ca_system_score_gemma":0.00003388481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005641136,"about_ca_topic_score_gemma":0.000003100686,"domain_scores_codex":[0.9992527,0.00001005575,0.0004033834,0.00006945918,0.0001022001,0.0001622423],"domain_scores_gemma":[0.9994973,0.000003173202,0.0002278078,0.0001802271,0.00006036795,0.00003113009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000285972,0.0001557556,0.02465038,0.0005040913,0.0003134302,1.942179e-7,0.002124231,0.1115925,0.716036,0.001440751,0.01490658,0.12799],"study_design_scores_gemma":[0.001418638,0.0004183532,0.01199784,0.0001294821,0.00007084695,0.00005447102,0.001058154,0.6882738,0.2472306,0.00004892981,0.04886484,0.0004340203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555014,0.0001951897,0.03991136,0.00003690422,0.0001350964,0.0001945927,0.00002509738,0.00001905651,0.003981341],"genre_scores_gemma":[0.979776,0.00007748549,0.01932369,0.0000465914,0.0003185521,0.000004366721,0.0003618509,0.00000897723,0.00008247105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5766813,"threshold_uncertainty_score":0.3759946,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362718581","doi":"10.6026/97320630019278","title":"Is self-testing the next paradigm for diagnostics?","year":2023,"lang":"en","type":"article","venue":"Bioinformation","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Usability; Test (biology); Medicine; The Internet; Computer science; World Wide Web; Human–computer interaction","retraction":null,"screen_n_in":null,"score":{"opus":0.1302483572485906,"gpt":0.3231847387990835,"spread":0.192936381550493,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002598693,0.00007079333,0.00007742025,0.00006946716,0.0001978327,0.00005607403,0.00004393801,0.00004531394,0.000005681041],"category_scores_gemma":[0.001330072,0.00005033048,0.000049135,0.0004390457,0.00001312331,0.000210228,0.00001661476,0.0000664219,0.000423756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003313581,"about_ca_system_score_gemma":0.00004032966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001151256,"about_ca_topic_score_gemma":9.458582e-7,"domain_scores_codex":[0.9994232,0.000006223599,0.0002122459,0.00006722133,0.0001308408,0.0001602722],"domain_scores_gemma":[0.9991632,0.0004995174,0.00009374497,0.0001371623,0.00008256056,0.0000238916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001564513,0.000121188,0.02606704,0.001277865,0.0002163151,0.00001422391,0.01634973,0.00005904835,0.02347794,0.004066431,0.2062164,0.7219774],"study_design_scores_gemma":[0.001557089,0.0002734397,0.04561234,0.0001484842,0.0001046625,0.0001390083,0.0008915745,0.6413437,0.04727887,0.0006531467,0.2618009,0.0001968474],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815778,0.00007598421,0.004508872,0.002866349,0.00067581,0.001206038,0.00001628786,0.001296576,0.007776329],"genre_scores_gemma":[0.9895332,0.00002514995,0.003887316,0.005798126,0.0004021836,0.0001403082,0.00007955276,0.00001981307,0.0001143581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7217806,"threshold_uncertainty_score":0.5446667,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415948050","doi":"10.6026/973206300213866","title":"Machine learning for predicting antimicrobial efficacy of periodontal gel formulations in vitro biofilm models","year":2025,"lang":"en","type":"article","venue":"Bioinformation","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Biofilm; Gradient boosting; Boosting (machine learning); Antimicrobial; Periodontal disease","retraction":null,"screen_n_in":null,"score":{"opus":0.02132391860788595,"gpt":0.2965179139249522,"spread":0.2751939953170662,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002911858,0.00009536971,0.0001801043,0.00032242,0.0001842511,0.00004317238,0.0001230484,0.0001520401,0.00003254545],"category_scores_gemma":[0.0001473678,0.00009579758,0.00009304775,0.0002576254,0.00004917907,0.0005359039,0.00006587908,0.0001826208,0.00001645829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006395461,"about_ca_system_score_gemma":0.00007340966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002464983,"about_ca_topic_score_gemma":0.0001518835,"domain_scores_codex":[0.9991175,0.0000372324,0.0004525578,0.0001128279,0.00006538582,0.000214506],"domain_scores_gemma":[0.9995528,0.0001027388,0.00012439,0.0001090357,0.00009095626,0.00002004941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002757067,0.0002849294,0.1270588,0.001025677,0.0001298571,0.000002758826,0.002897841,0.01969639,0.7785406,0.004588729,0.0008924755,0.06212488],"study_design_scores_gemma":[0.004307835,0.00009256182,0.07361651,0.0001580357,0.00002289079,0.00001595268,0.0002108693,0.8085806,0.1104896,0.000144008,0.002158531,0.0002026569],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762942,0.00008927086,0.02003726,0.00007368248,0.0002389379,0.0005469355,0.0002308453,0.00004770316,0.002441133],"genre_scores_gemma":[0.9959219,0.00001418763,0.002418833,0.00002607913,0.00002503134,0.00001899443,0.00100436,0.000006410864,0.0005642351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7888842,"threshold_uncertainty_score":0.3906512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407065520","doi":"10.6026/9732063002001238","title":"Prevalence of dental caries and oral hygiene among specially-abled children","year":2024,"lang":"en","type":"article","venue":"Bioinformation","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Medicine; Oral hygiene; Oral health; Dentistry; Hygiene; Quality of life (healthcare); Cross-sectional study; Environmental health; Family medicine; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.007874557021129536,"gpt":0.258869638652931,"spread":0.2509950816318015,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001218172,0.000070363,0.0000767126,0.00009189129,0.00005307177,0.00009007653,0.0000567815,0.00006061111,0.0001242418],"category_scores_gemma":[0.00002528272,0.00006576594,0.00002807202,0.0001470383,0.00005682038,0.0008389765,0.00003554072,0.00004837047,0.00009575782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003958457,"about_ca_system_score_gemma":0.00003617562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001215631,"about_ca_topic_score_gemma":0.0002668661,"domain_scores_codex":[0.9993599,0.00001330014,0.0002360814,0.00008611862,0.0001964602,0.0001081059],"domain_scores_gemma":[0.9997482,0.00001375431,0.00006649894,0.0000833825,0.00004145159,0.00004676678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005557584,0.00002148329,0.8985383,0.002262519,0.00002533276,0.000004787261,0.0008500271,0.00001669186,0.0002087691,0.004008385,0.002774269,0.09123387],"study_design_scores_gemma":[0.0001948268,0.00003951167,0.9923115,0.0001195307,0.00002303424,0.00004477502,0.0001943372,0.004499898,0.002165451,0.00005485798,0.0002791832,0.00007313986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947131,0.0006135005,0.0006504253,0.000006493915,0.0005455422,0.0002178708,0.00008027218,0.00007489323,0.003097928],"genre_scores_gemma":[0.9988236,0.00009883414,0.0001702095,0.00001870217,0.00005409094,0.000005168163,0.0001459082,0.000005657157,0.0006777665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09377316,"threshold_uncertainty_score":0.2681857,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412048018","doi":"10.6026/973206300211217","title":"Insights into incisional hernia: Factors, symptoms and treatment options","year":2025,"lang":"en","type":"article","venue":"Bioinformation","topic":"Hernia repair and management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"CARE Canada","funders":"","keywords":"Medicine; Incisional hernia; Wound dehiscence; Hernia; Dehiscence; General surgery; Surgery; Intensive care medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01057555258264829,"gpt":0.2667024080422669,"spread":0.2561268554596186,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003304177,0.00008040017,0.0001016443,0.0001583735,0.00009019343,0.00002207075,0.00002009089,0.00004831991,0.00003464834],"category_scores_gemma":[0.00001675119,0.00005556249,0.00003587232,0.0001022519,0.00001898199,0.0001753997,0.00002969805,0.00003067751,0.00004762496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000133557,"about_ca_system_score_gemma":0.00005323561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005352073,"about_ca_topic_score_gemma":0.0000314332,"domain_scores_codex":[0.9995704,0.000007818384,0.0001702893,0.00007499917,0.0001082996,0.0000682393],"domain_scores_gemma":[0.9997466,0.00001829636,0.00003003338,0.0001171678,0.00003546592,0.00005239168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004124711,0.0007497213,0.06610416,0.0005677983,0.0008142738,0.00001180071,0.01606437,0.0001155838,0.002304616,0.07976685,0.0128856,0.8202028],"study_design_scores_gemma":[0.003061839,0.0005637201,0.4613605,0.0001418139,0.0001791721,0.000004670198,0.001371169,0.01535816,0.00128013,0.0007553416,0.5157528,0.0001707001],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971355,0.0002848789,0.003542912,0.0007809101,0.0001220823,0.0004362172,0.0000027751,0.0001036428,0.0233716],"genre_scores_gemma":[0.9970012,0.0001742805,0.0008541714,0.0002715712,0.00002284152,0.00002617632,0.0001351114,0.000002851044,0.001511801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8200321,"threshold_uncertainty_score":0.2265772,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409071227","doi":"10.6026/973206300210499","title":"Characterization of clear cell - Renal cell carcinoma using neutrophil - Lymphocyte ratio","year":2025,"lang":"en","type":"article","venue":"Bioinformation","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Trinity Western University; Western University","funders":"","keywords":"Lymphocyte; Medicine; Neutrophil to lymphocyte ratio; Nephrectomy; Renal cell carcinoma; Pathology; Cell; Absolute neutrophil count; Renal vein; Internal medicine; Kidney; Biology; Toxicity","retraction":null,"screen_n_in":null,"score":{"opus":0.01007597607471026,"gpt":0.2304132158607266,"spread":0.2203372397860164,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000138912,0.0001242012,0.000174416,0.0002934721,0.00008501561,0.00002492635,0.00007133245,0.0001096915,0.000049168],"category_scores_gemma":[0.00001645722,0.0001235996,0.00008723777,0.0003232106,0.00004684923,0.0004036367,0.00004181156,0.00005388404,0.00002692744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001926848,"about_ca_system_score_gemma":0.0003157739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001000547,"about_ca_topic_score_gemma":2.175175e-7,"domain_scores_codex":[0.9990053,0.00002822186,0.0005006589,0.0001118216,0.0002054657,0.0001485075],"domain_scores_gemma":[0.9992309,0.00001096564,0.0002845278,0.000242868,0.000173054,0.00005768153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007054717,0.00008290392,0.009957635,0.001066987,0.00002036262,0.000002964407,0.0004159523,0.00003020984,0.9842934,0.0001054066,0.000159741,0.00315898],"study_design_scores_gemma":[0.001759739,0.00008228588,0.114563,0.0001119097,0.0001402937,0.000004121554,0.0001124361,0.0535997,0.8285986,0.000006021896,0.0009111005,0.0001108297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986908,0.00005806272,0.005581563,0.00006443918,0.000201629,0.0004824507,0.00002286641,0.00005043549,0.00663051],"genre_scores_gemma":[0.9977776,0.00001939222,0.001393779,0.0002134447,0.00005700769,0.00001164258,0.0003191606,0.00001045504,0.0001975327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1556948,"threshold_uncertainty_score":0.5040246,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2810892457","doi":"10.6026/97320630014194","title":"Insights from the sequence similarity of Zika virus proteins with the Human nerve proteins","year":2018,"lang":"en","type":"article","venue":"Bioinformation","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Zika virus; Peptide sequence; Biology; Virulence; Virology; Molecular mimicry; Computational biology; Bioinformatics; Virus; Medicine; Antibody; Immunology; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.02130974267746352,"gpt":0.2634877963310674,"spread":0.2421780536536039,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008711856,0.0001079405,0.0001394132,0.00002390546,0.0002438995,0.00003795137,0.0001609712,0.00005307616,0.0000758622],"category_scores_gemma":[0.0000414066,0.00004795949,0.00005746368,0.0001491419,0.0002065569,0.0002494281,0.00003239238,0.0001077942,0.00003431125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003042634,"about_ca_system_score_gemma":0.0001124686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367938,"about_ca_topic_score_gemma":0.0007395768,"domain_scores_codex":[0.9991907,0.00003624981,0.0002361649,0.00009694503,0.0003185816,0.0001213047],"domain_scores_gemma":[0.9990351,0.00002440187,0.0002157254,0.0004513513,0.0002205101,0.00005290105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004729609,0.001281168,0.02154816,0.0008276837,0.00109043,0.00003059089,0.03953882,0.00005511622,0.7706176,0.05370236,0.0140542,0.09252423],"study_design_scores_gemma":[0.007618018,0.00436513,0.7078978,0.0008590226,0.0008168706,0.00002007976,0.005431933,0.02189443,0.2099003,0.001909643,0.03864355,0.0006432516],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918503,0.0001153277,0.001734894,0.00171605,0.00003282911,0.001768354,0.00005953094,0.0000416123,0.002681124],"genre_scores_gemma":[0.9983296,0.000002976106,0.0002606496,0.0008743045,0.0002602801,0.0001187687,0.00009388415,0.000007051727,0.00005243402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6863496,"threshold_uncertainty_score":0.2067922,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416758977","doi":"10.6026/973206300214241","title":"Cardiovascular and neurovascular complications in systemic lupus Erythematosus: A cross-sectional study of subclinical atherosclerosis and cognitive dysfunction","year":2025,"lang":"en","type":"article","venue":"Bioinformation","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Subclinical infection; Neurovascular bundle; Cognition; Concomitant; Systemic lupus erythematosus; Endothelial dysfunction; Antiphospholipid syndrome; Disease","retraction":null,"screen_n_in":null,"score":{"opus":0.03523599647273375,"gpt":0.3194457637065005,"spread":0.2842097672337667,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001100494,0.0001363159,0.0004377241,0.0004387687,0.0001015494,0.00004982545,0.00005598975,0.0001295561,0.000003845597],"category_scores_gemma":[0.0003710428,0.0001221199,0.0001149192,0.0004750285,0.0001234209,0.0002316068,0.00008156236,0.0001706463,0.000007671723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009128716,"about_ca_system_score_gemma":0.00007397478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001335695,"about_ca_topic_score_gemma":0.0000164403,"domain_scores_codex":[0.998162,0.000136278,0.0008222955,0.0002681219,0.0004531198,0.0001582056],"domain_scores_gemma":[0.9988832,0.0002480774,0.0001433258,0.0003221172,0.0003387013,0.00006460649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001526057,0.0002023474,0.9954268,0.001170362,0.0002764673,9.091661e-7,0.001421178,0.00002617162,0.0001979598,0.00008568802,0.000009546415,0.001029908],"study_design_scores_gemma":[0.007354496,0.0002554021,0.9811898,0.0007248974,0.0001513472,0.00185728,0.004600339,0.003690735,0.00005619926,0.00001764698,0.00001818024,0.00008368975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947243,0.0006861832,0.001937691,0.00002272157,0.0001466861,0.00198825,0.000009779204,0.00004044132,0.0004439621],"genre_scores_gemma":[0.9994495,0.0001630044,0.00005478914,0.00002472444,0.00001854757,0.0001895364,0.00002948581,0.0000101356,0.00006030529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01423707,"threshold_uncertainty_score":0.4979906,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2955141396","doi":"10.6026/97320630015388","title":"Prediction of normalized signal strength on DNA sequencing micro arrays by n-grams within a neural network model","year":2019,"lang":"en","type":"article","venue":"Bioinformation","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Oligonucleotide; Pattern recognition (psychology); Artificial neural network; Confusion matrix; Computer science; Algorithm; Artificial intelligence; Data mining; Mathematics; Statistics; DNA; Genetics; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.0105144145865642,"gpt":0.2146741654323079,"spread":0.2041597508457437,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003281449,0.0001908136,0.0001766236,0.00005754303,0.00007351463,0.00003451181,0.0001714603,0.0001927086,0.00002452452],"category_scores_gemma":[0.00003579664,0.0001754346,0.00008721211,0.0001156993,0.00003650817,0.00004440317,0.00005689534,0.0001643345,0.00003069618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004398264,"about_ca_system_score_gemma":0.00007727696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001155402,"about_ca_topic_score_gemma":0.000002807898,"domain_scores_codex":[0.9987348,0.000037134,0.0005815633,0.0001454552,0.0002551795,0.0002458557],"domain_scores_gemma":[0.9990646,0.00001281904,0.0004711578,0.0003023326,0.0000880545,0.00006104264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002432562,0.00002869083,0.002301481,0.0001386763,0.00004524519,8.589446e-8,0.0006297915,0.6010235,0.3892003,0.0002146434,0.004083021,0.002091372],"study_design_scores_gemma":[0.0007553487,0.0004755907,0.0001822064,0.00004366901,0.00001386539,0.000007052519,0.0001255121,0.8701496,0.127115,0.00001964886,0.000951108,0.0001614395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727977,0.00002934433,0.02112833,0.00002739008,0.0002154151,0.0003783271,0.0001082413,0.00004467569,0.005270597],"genre_scores_gemma":[0.9878471,0.00001577409,0.009630105,0.0002478354,0.00009808854,0.00001077236,0.001822049,0.0000179901,0.0003102969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2691261,"threshold_uncertainty_score":0.7154017,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409953407","doi":"10.6026/973206300210679","title":"Molecular entities for the anti-melanoma effect of Solanum nigrum","year":2025,"lang":"en","type":"article","venue":"Bioinformation","topic":"Tannin, Tannase and Anticancer Activities","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Solanum nigrum; Traditional medicine; Melanoma; Medicine; Information retrieval; Computer science; Cancer research","retraction":null,"screen_n_in":null,"score":{"opus":0.003798249562268793,"gpt":0.2348443265524268,"spread":0.231046076990158,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001664783,0.00007507454,0.0001372019,0.00007751127,0.000120459,0.00001394466,0.0001006704,0.00007573966,0.00002535091],"category_scores_gemma":[0.00004423099,0.00004796851,0.0000844188,0.00007462048,0.00009995009,0.0001390243,0.00002524189,0.00005194852,0.00002099192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000975325,"about_ca_system_score_gemma":0.00002939033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002438202,"about_ca_topic_score_gemma":0.000002636105,"domain_scores_codex":[0.9996015,0.00003004637,0.0001726026,0.00005183314,0.00001847538,0.0001255316],"domain_scores_gemma":[0.9995397,0.0002109131,0.00008245087,0.0001282388,0.00003565646,0.00000304167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008697413,0.00006884088,0.01315689,0.001248586,0.00111778,7.036876e-7,0.002288545,0.0001240924,0.8349532,0.03291734,0.04169084,0.07156339],"study_design_scores_gemma":[0.0007677632,0.0001738612,0.004873242,0.0000516552,0.00006884664,0.000002448041,0.0004602848,0.0001506775,0.9678481,0.0000958887,0.02544466,0.0000625703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980692,0.002542172,0.009669906,0.0004347943,0.0009026612,0.0004895325,0.00007638097,0.00004503347,0.005147541],"genre_scores_gemma":[0.9989017,0.00004009811,0.00001560192,0.00009975532,0.000009457865,0.0000396022,0.00007041876,0.000002695896,0.0008206575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1328948,"threshold_uncertainty_score":0.1956099,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408633860","doi":"10.6026/973206300210205","title":"Estimating gestational age using placental thickness and fetal weight","year":2025,"lang":"en","type":"article","venue":"Bioinformation","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Gestational age; Fetus; Fetal weight; Medicine; Gestation; Obstetrics; Pregnancy; Positive correlation; Birth weight; Statistical significance; Correlation; Internal medicine; Biology; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01946160769329026,"gpt":0.2870740849366546,"spread":0.2676124772433643,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001012526,0.00006615731,0.00009625431,0.00007669442,0.000160572,0.00002246577,0.00001868648,0.00004351277,0.00001100436],"category_scores_gemma":[0.00005260636,0.00005702901,0.00002005215,0.00008984087,0.00004505606,0.0002802547,0.0000340098,0.00006700426,0.00000595032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004343562,"about_ca_system_score_gemma":0.00005135421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001048809,"about_ca_topic_score_gemma":0.000002585751,"domain_scores_codex":[0.9995802,0.000009300709,0.000163998,0.00006040071,0.0001002248,0.0000858662],"domain_scores_gemma":[0.9998027,0.00003802349,0.00004997587,0.00005626944,0.00003116306,0.00002183785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001203299,0.0003880387,0.3274035,0.007556127,0.0008289758,0.00006685108,0.02883318,0.001227781,0.009504548,0.0615929,0.00539591,0.5559989],"study_design_scores_gemma":[0.002965986,0.00008157262,0.2904146,0.001611813,0.0001644924,0.000186153,0.0009167427,0.6986802,0.001318211,0.001492643,0.001941399,0.0002262125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8330716,0.0009790654,0.1131943,0.0008759283,0.0006045194,0.0005070476,0.00001767748,0.0001325902,0.05061723],"genre_scores_gemma":[0.949161,0.00002045031,0.05019453,0.0002832598,0.00005180965,0.000006980213,0.00008094947,0.000002983315,0.0001980586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6974524,"threshold_uncertainty_score":0.2325576,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412048217","doi":"10.6026/973206300211719","title":"Clinical and cost-effectiveness of synbiotics versus antibiotics and analgesics in post-tooth extraction socket healing: A randomized controlled trial","year":2025,"lang":"en","type":"article","venue":"Bioinformation","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Trinity Western University; Humber Polytechnic; Western University","funders":"","keywords":"Synbiotics; Medicine; Randomized controlled trial; Dry socket; Dentistry; Wound healing; Clinical trial; Surgery; Internal medicine; Molar; Probiotic","retraction":null,"screen_n_in":null,"score":{"opus":0.03009988099225907,"gpt":0.3972135297148623,"spread":0.3671136487226033,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003139161,0.0001035696,0.000858922,0.0001992349,0.00003718063,0.00001441685,0.00002964898,0.0001622226,0.000002473718],"category_scores_gemma":[0.002309934,0.00007937563,0.00009315617,0.0002106465,0.0002256775,0.0001213874,0.00002121908,0.0001591949,8.188436e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000387682,"about_ca_system_score_gemma":0.0001358194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001942248,"about_ca_topic_score_gemma":0.000006324606,"domain_scores_codex":[0.9984356,0.0002065824,0.0009965483,0.0001243926,0.0001404756,0.0000963656],"domain_scores_gemma":[0.9974452,0.001871605,0.0003029598,0.0001547592,0.0001697346,0.00005576364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9816993,0.0001994912,0.00125822,0.0003879757,0.0001738913,0.00000155197,0.0001204616,0.000007012984,0.0002095827,0.001730839,0.00003162197,0.01418],"study_design_scores_gemma":[0.9656786,0.0004591388,0.01766795,0.0002842075,0.0005403721,0.000008728206,0.0002730877,0.01375392,0.001031746,0.00008807006,0.0001507024,0.0000635262],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979354,0.000206825,0.0113458,0.0005014163,0.0007007037,0.00599777,0.00001335162,0.0000238136,0.001856364],"genre_scores_gemma":[0.9979899,0.0007710059,0.000915911,0.00006837563,0.00005702567,0.0000191767,0.00013188,0.000003623083,0.00004308526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01863596,"threshold_uncertainty_score":0.3236844,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111175640","doi":"10.6026/97320630004344","title":"The microarray manual curation tool (MMCT): A Webserver for microarray probe evaluations","year":2010,"lang":"en","type":"article","venue":"Bioinformation","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Microarray; Microarray analysis techniques; DNA microarray; Microarray databases; Gene chip analysis; Computational biology; Computer science; Bioinformatics; Biology; Web server; World Wide Web; Genetics; The Internet; Gene; Gene expression","retraction":null,"screen_n_in":null,"score":{"opus":0.01272170573069007,"gpt":0.2953934701646412,"spread":0.2826717644339511,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004460338,0.0001093095,0.00005666198,0.00003938514,0.0004039211,0.0001216194,0.0001755575,0.0001440064,0.00002299163],"category_scores_gemma":[0.0001529364,0.00008125909,0.00007791568,0.00008343701,0.00005003945,0.00004072427,0.00002862233,0.00007889845,0.00003447678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001640537,"about_ca_system_score_gemma":0.0001394134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002570795,"about_ca_topic_score_gemma":0.0000586223,"domain_scores_codex":[0.9992071,0.00002613324,0.0002968053,0.0001623096,0.0001403867,0.0001672743],"domain_scores_gemma":[0.9991467,0.00001522783,0.0001818209,0.0003614831,0.0002571178,0.0000376246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006258275,0.00001652532,0.00008820215,0.00001255643,0.00001015238,6.815253e-9,0.0001239125,0.00001281895,0.9458678,0.001234379,0.02097901,0.0315921],"study_design_scores_gemma":[0.0004910114,0.00007185111,0.003340016,0.000004858215,0.0000117576,0.000003584332,0.0001690491,0.001316971,0.4495864,0.0002142186,0.5446613,0.000129025],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7833647,0.0002278414,0.2049534,0.003728546,0.002097126,0.002535262,0.00008852487,0.00006735988,0.002937299],"genre_scores_gemma":[0.9868386,0.00007128911,0.006728286,0.0004027934,0.000527286,0.0006571547,0.001236365,0.0000187043,0.003519537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5236822,"threshold_uncertainty_score":0.3313649,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412046287","doi":"10.6026/973206300211779","title":"Assessment of pain levels in patients undergoing periodontal versus endodontic treatment: A cross-sectional observational study","year":2025,"lang":"en","type":"article","venue":"Bioinformation","topic":"Dental Anxiety and Anesthesia Techniques","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Observational study; Medicine; Cross-sectional study; Dentistry; Internal medicine; Pathology","retraction":null,"screen_n_in":null,"score":{"opus":0.06945745314579314,"gpt":0.3549729785693697,"spread":0.2855155254235766,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003742862,0.0001155999,0.0001470161,0.0001656524,0.00009709977,0.00007732019,0.00009700788,0.00007096757,0.0000575224],"category_scores_gemma":[0.0000686271,0.0001101182,0.0000808584,0.0002322952,0.00002801175,0.0005925681,0.00003315115,0.00006156827,0.00001013437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004273421,"about_ca_system_score_gemma":0.0001233834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000121351,"about_ca_topic_score_gemma":0.000345622,"domain_scores_codex":[0.998885,0.00006925449,0.0005112756,0.0001244366,0.000291551,0.0001184861],"domain_scores_gemma":[0.9994861,0.0001283783,0.0001630137,0.0001222266,0.00008250715,0.00001770545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001036733,0.0005741899,0.9938567,0.00003913706,0.00003887492,0.000001469767,0.0001724265,0.00004647726,0.00002589139,0.001904526,0.00001811276,0.0032185],"study_design_scores_gemma":[0.003760152,0.0005661641,0.9932017,0.00003777949,0.000008116064,9.158161e-7,0.0003557136,0.001630811,0.000171355,0.00006134914,0.0001199739,0.0000859439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953389,0.000006199117,0.0008233156,0.000008772009,0.000247462,0.0004960595,0.00002550154,0.00005399838,0.002999852],"genre_scores_gemma":[0.9988417,0.000002653258,0.000579668,0.00002941756,0.00001369093,0.00006299814,0.0001982667,0.000004435728,0.0002671828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003656478,"threshold_uncertainty_score":0.449049,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7122433026","doi":"10.6026/973206300214363","title":"Waste management in disease prevention: A public health overview","year":2025,"lang":"en","type":"article","venue":"Bioinformation","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Hazardous waste; Urbanization; Public health; Municipal solid waste; Human health; Safeguard; Health care; Psychological intervention","retraction":null,"screen_n_in":null,"score":{"opus":0.06701617881968247,"gpt":0.3523523347229893,"spread":0.2853361559033068,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003379307,0.0000730508,0.0001157584,0.0002535877,0.0000476923,0.00002012557,0.00004306833,0.00002006798,0.00005486969],"category_scores_gemma":[0.000006319823,0.00006835933,0.00004268583,0.0003176359,0.00001071063,0.0002208079,0.00006764517,0.00005207372,0.0001007088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000384842,"about_ca_system_score_gemma":0.00007713289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001900101,"about_ca_topic_score_gemma":0.00001495713,"domain_scores_codex":[0.9991542,0.00002819035,0.0003514029,0.00009903961,0.0001747777,0.0001924436],"domain_scores_gemma":[0.9995984,0.000003286901,0.00006083502,0.0002039295,0.000007083956,0.0001264924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004272822,0.0001819211,0.003921472,0.002797614,0.00003324231,0.000006445068,0.0002988168,0.00002415725,4.673869e-7,0.01062854,0.003939166,0.9781255],"study_design_scores_gemma":[0.002220135,0.0001491778,0.4594911,0.001056225,0.00003085391,0.000001659164,0.002376079,0.005229326,0.000004779331,0.0004693863,0.5288466,0.0001246762],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2507415,0.00976439,0.02824501,0.3167915,0.001173004,0.01152858,0.00002468194,0.0003956857,0.3813356],"genre_scores_gemma":[0.9735857,0.003675862,0.001575504,0.013393,0.00003482657,0.0001623578,0.0003191214,0.00000745331,0.007246186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9780008,"threshold_uncertainty_score":0.2787613,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}