{"id":"W2099131261","doi":"10.1093/database/baq037","title":"The Biomolecular Interaction Network Database in PSI-MI 2.5","year":2011,"lang":"en","type":"article","venue":"Database","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Human Genome Research Institute; National Institutes of Health; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Identifier; Computer science; Database; Download; World Wide Web","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":[0.002539667,0.00175851,0.001858166,0.004220401,0.00109146,0.003024751,0.003196827,0.000943657,0.03522337],"category_scores_gemma":[0.006200613,0.001312648,0.001291739,0.005935161,0.0004715237,0.004099923,0.003115618,0.00346214,0.03055013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155844,"about_ca_system_score_gemma":0.002858896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003582984,"about_ca_topic_score_gemma":0.003553392,"domain_scores_codex":[0.9987354,0.0002308311,0.0002111892,0.0002697382,0.0004433604,0.0001094498],"domain_scores_gemma":[0.9980818,0.0005130983,0.000269028,0.0005821817,0.0003329144,0.0002210212],"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":[0.002006926,0.0002481061,0.005220206,0.004348794,0.0005199931,0.0005184501,0.0005690087,0.005412778,0.02267069,0.03028088,0.8621255,0.06607883],"study_design_scores_gemma":[0.0005253207,0.0001449562,0.01200355,0.0003882031,0.0002869962,0.0007645384,0.0002362641,0.03419416,0.02210717,0.03497083,0.8941638,0.0002142444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.009976448,0.0009681708,0.1112508,0.0009930414,0.0002924904,0.0004083737,0.6652051,0.194461,0.01644459],"genre_scores_gemma":[0.01972477,0.0009553418,0.07794048,0.0002996969,0.00005920065,0.0007058885,0.8851902,0.01159349,0.003530845],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03522337,"threshold_uncertainty_score":0.1178339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974043939788008,"score_gpt":0.2499452691828738,"score_spread":0.2302048297849937,"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."}}