{"id":"W2099398646","doi":"10.1093/bioinformatics/bti170","title":"BIAS: Bioinformatics Integrated Application Software","year":2004,"lang":"en","type":"article","venue":"Computer applications in the biosciences","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Software; Object (grammar); Data mining; Relational database; Bioinformatics; Data science; Software engineering; Artificial intelligence; Programming language; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003521589,0.0001093845,0.00007509383,0.00005931253,0.0001750534,0.00008424817,0.0007512162,0.00007654867,9.563033e-7],"category_scores_gemma":[0.000009626289,0.00007116482,0.00004146829,0.0004692584,0.0001854974,0.00000999885,0.0001004967,0.00008292867,0.00002235224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001813281,"about_ca_system_score_gemma":0.00007560769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002190791,"about_ca_topic_score_gemma":0.0000466304,"domain_scores_codex":[0.9992515,0.00001772502,0.0002552872,0.0001791215,0.0001223433,0.0001740062],"domain_scores_gemma":[0.9993637,0.00002003517,0.0001001818,0.0004383992,0.00004461158,0.000033025],"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":[0.0000342407,0.001022117,0.01402106,0.0001390467,0.00006881813,9.276474e-7,0.007231658,0.0505727,0.009758146,0.07646255,0.009578618,0.8311101],"study_design_scores_gemma":[0.002587136,0.00104683,0.02382923,0.000125772,0.00005981817,0.0001495842,0.005368883,0.1154532,0.01880224,0.06630053,0.7642174,0.00205943],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04934921,0.0001411759,0.9493681,0.0002857798,0.00007288201,0.0004635899,0.00001146972,0.00002043187,0.000287311],"genre_scores_gemma":[0.87099,0.00008523864,0.1271278,0.001152112,0.0002000295,0.000215263,0.0002038733,0.000006967691,0.00001865095],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8290507,"threshold_uncertainty_score":0.2902018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302460520350489,"score_gpt":0.2429522021158472,"score_spread":0.2299275969123423,"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."}}