{"id":"W2045717408","doi":"10.1038/nrd3503","title":"Minimum information about a bioactive entity (MIABE)","year":2011,"lang":"en","type":"review","venue":"Nature Reviews Drug Discovery","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Biotechnology and Biological Sciences Research Council; Cancer Research UK; Wellcome Trust","keywords":"Resource (disambiguation); Quality (philosophy); Computer science; Drug discovery; Data science; Data quality; Risk analysis (engineering); Business; Bioinformatics; Marketing; Biology","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002251187,0.001279567,0.003619885,0.0008946914,0.0002226868,0.001215347,0.003758432,0.001037241,0.00004055262],"category_scores_gemma":[0.001182491,0.0009681179,0.002303852,0.002219002,0.0001328785,0.00952468,0.001474008,0.002752421,0.001448173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005883147,"about_ca_system_score_gemma":0.001332673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002119926,"about_ca_topic_score_gemma":0.000006310326,"domain_scores_codex":[0.9926344,0.002278068,0.002228238,0.001281974,0.0008381295,0.0007391688],"domain_scores_gemma":[0.9938764,0.001076991,0.002435349,0.00215337,0.0002064265,0.0002514739],"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":[0.000003409769,0.00008283114,2.742488e-7,0.01226147,0.0001053229,0.000006390822,0.0002283068,0.000003395401,5.732198e-8,0.04383234,0.005912371,0.9375638],"study_design_scores_gemma":[0.0001554384,0.00001903825,0.000004348919,0.01335893,0.0003771632,0.00006315261,0.000004580616,0.0001082596,0.000004215498,0.003061321,0.9818473,0.0009962835],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[8.06362e-7,0.9338197,0.05337285,0.00005479492,0.002911212,0.002762809,0.0001899052,0.00019306,0.006694839],"genre_scores_gemma":[0.000002626918,0.9827662,0.01468917,0.0006496236,0.0004158238,0.0004532268,0.0003502793,0.00005603268,0.0006170701],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9759349,"threshold_uncertainty_score":0.9999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03459620500257285,"score_gpt":0.3508015328271721,"score_spread":0.3162053278245993,"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."}}