{"id":"W4255855797","doi":"10.1093/nar/gkg056","title":"BIND: the Biomolecular Interaction Network Database","year":2003,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"Canadian Institutes of Health Research; Synchrotron Light Research Institute; Genome Canada","keywords":"Interaction network; Protein–protein interaction; XML; Biology; Computer science; Domain (mathematical analysis); Computational biology; Focus (optics); Protein Data Bank (RCSB PDB); Interaction information; Cluster analysis; Protein Interaction Networks; Database; World Wide Web; Genetics; Artificial intelligence; 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":[0.001899531,0.00179557,0.001551256,0.005389059,0.00111405,0.004146257,0.003319743,0.001661218,0.0309387],"category_scores_gemma":[0.006733455,0.0009623606,0.0009711004,0.005739766,0.0004570065,0.004131717,0.003261556,0.002119679,0.02653634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192815,"about_ca_system_score_gemma":0.002641193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007243056,"about_ca_topic_score_gemma":0.007225819,"domain_scores_codex":[0.9983357,0.0003311354,0.0002876933,0.0002849466,0.0006268799,0.0001338304],"domain_scores_gemma":[0.9978787,0.0006414705,0.0002696117,0.0004728103,0.0004292982,0.000308245],"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":[0.0003926579,0.00007956548,0.001645654,0.002385151,0.000217219,0.0002263585,0.0001733473,0.005901718,0.003789448,0.03781775,0.8790668,0.06830443],"study_design_scores_gemma":[0.0001248686,0.00002285368,0.001739335,0.0003281689,0.00009830834,0.0003805595,0.00008375647,0.01167422,0.002114517,0.03174296,0.9516086,0.00008187339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.003087339,0.00609362,0.1152693,0.002439347,0.0004028991,0.0005893201,0.7809224,0.06281268,0.02838308],"genre_scores_gemma":[0.01315995,0.004585088,0.05442181,0.0007878735,0.00009896846,0.0009682311,0.9151674,0.00318434,0.007626437],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0309387,"threshold_uncertainty_score":0.1035003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03383328354121608,"score_gpt":0.3300870333784426,"score_spread":0.2962537498372266,"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."}}