{"id":"W2123280311","doi":"10.1093/nar/29.1.242","title":"BIND--The Biomolecular Interaction Network Database","year":2001,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1572,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Medical Research Council; Canadian Institutes of Health Research","keywords":"Biology; Database; Computational biology; Small molecule; Interaction network; Protein–protein interaction; Proteomics; Computer science; Biochemistry; Gene","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":[0.00211291,0.001704549,0.001471393,0.004335913,0.00115347,0.004433531,0.002965511,0.001390795,0.03128451],"category_scores_gemma":[0.006424373,0.0009359006,0.001000472,0.005236049,0.000453637,0.004547567,0.003164574,0.002101838,0.02885824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152671,"about_ca_system_score_gemma":0.002641853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006936687,"about_ca_topic_score_gemma":0.00898112,"domain_scores_codex":[0.9985086,0.0002852723,0.0002383791,0.0002545742,0.0005872422,0.000125814],"domain_scores_gemma":[0.9976047,0.0006256958,0.0002617826,0.0006361933,0.0005042764,0.0003673909],"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":[0.0005390514,0.0001114398,0.002913468,0.002162661,0.0002195674,0.0002049448,0.0002079317,0.005588286,0.005223296,0.05827352,0.8431364,0.08141935],"study_design_scores_gemma":[0.0001135838,0.00002868779,0.002424689,0.0003306549,0.00008185081,0.0003493359,0.000101237,0.01175279,0.003222706,0.03490001,0.9466202,0.00007429978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.004501027,0.004748119,0.1125008,0.002294676,0.0004230885,0.0006225184,0.7681423,0.06542782,0.04133962],"genre_scores_gemma":[0.01176152,0.002958652,0.04508528,0.0005372274,0.0000699111,0.0005504554,0.9260818,0.003054235,0.009900947],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03128451,"threshold_uncertainty_score":0.1046571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03752559453523122,"score_gpt":0.3377666707405587,"score_spread":0.3002410762053275,"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."}}