{"id":"W3214475573","doi":"10.1093/nar/gkab1034","title":"IID 2021: towards context-specific protein interaction analyses by increased coverage, enhanced annotation and enrichment analysis","year":2021,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Discovery Centre; University Health Network","funders":"Toronto General and Western Hospital Foundation; Canada Foundation for Innovation; Ontario Research Foundation; Natural Sciences and Engineering Research Council of Canada; University Health Network","keywords":"Biology; Context (archaeology); Annotation; Computational biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005308203,0.002201039,0.002255086,0.003891901,0.0009449935,0.003841478,0.002494895,0.001041667,0.01149256],"category_scores_gemma":[0.008411005,0.001630553,0.002330373,0.00308687,0.0004731698,0.001974933,0.00493314,0.002840912,0.01120517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057468,"about_ca_system_score_gemma":0.00150104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002924032,"about_ca_topic_score_gemma":0.008323997,"domain_scores_codex":[0.9966183,0.0007440811,0.00028104,0.0007762599,0.001356123,0.0002240606],"domain_scores_gemma":[0.996304,0.001504119,0.0002696568,0.0009509849,0.0006730894,0.0002981593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001486042,0.0002069518,0.01272535,0.004762191,0.001281486,0.0005994663,0.0006492243,0.00766721,0.2014784,0.01499793,0.4999905,0.2541554],"study_design_scores_gemma":[0.0002722497,0.0001893837,0.0218626,0.0004994179,0.0006145384,0.001537549,0.0001741934,0.06453538,0.07212313,0.01976916,0.8181392,0.0002831764],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0227764,0.006278486,0.6536782,0.001751842,0.001532937,0.0003512221,0.181216,0.1145169,0.01789801],"genre_scores_gemma":[0.03897606,0.003367093,0.5964063,0.001223552,0.0003222644,0.001155389,0.3279049,0.02253439,0.008110118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01149256,"threshold_uncertainty_score":0.03844643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03498579350301573,"score_gpt":0.3508584523769423,"score_spread":0.3158726588739266,"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."}}