{"id":"W4393712539","doi":"10.5281/zenodo.2538900","title":"CIViCmine","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant-based Medicinal Research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0002933555,0.0004040918,0.0004995912,0.0002712291,0.0001154202,0.0000276056,0.00109264,0.001367003,0.904808],"category_scores_gemma":[0.00340816,0.0003724496,0.0001460824,0.0002317243,0.00002789055,0.00005782607,0.0003982396,0.003604737,0.2645099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447463,"about_ca_system_score_gemma":0.0006712785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001836966,"about_ca_topic_score_gemma":0.00004182098,"domain_scores_codex":[0.9974926,0.0003339167,0.0003133092,0.0005231759,0.0005341442,0.0008028742],"domain_scores_gemma":[0.996819,0.00169813,0.0001958461,0.0006484346,0.0001748149,0.0004637503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001394307,0.0001183326,0.000002643115,0.001507792,0.0001274975,0.0007170351,0.000005632313,0.00001523485,0.00005255232,2.774263e-7,0.9960461,0.001267525],"study_design_scores_gemma":[0.0007792906,0.0001590491,0.0000267335,0.001129958,0.00009426513,0.00005458373,0.000003973362,0.00005956632,0.0004170026,0.000002827091,0.9969071,0.0003656315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003917855,0.001179815,2.167448e-8,0.0002256104,0.0008877174,0.0007503999,0.9937966,0.00005201813,0.003103909],"genre_scores_gemma":[0.00001836673,0.0001623774,0.000002316467,0.003900297,0.001063308,0.0003372002,0.9893967,0.0000354679,0.005083955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6402981,"threshold_uncertainty_score":0.9999294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3981680229085975,"score_gpt":0.5356797305223746,"score_spread":0.1375117076137771,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}