{"id":"W2152653671","doi":"10.1093/nar/gki051","title":"The Biomolecular Interaction Network Database and related tools 2005 update","year":2004,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":595,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; Economic Development Board - Singapore; Genome Canada","keywords":"Annotation; Biology; Database; Computer science; Visualization; Computational biology; Interface (matter); Blueprint; Bioinformatics; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001363856,0.0001187001,0.00008993247,0.00003816376,0.0006277959,0.0002078176,0.000297237,0.0001607469,0.00003247658],"category_scores_gemma":[0.0001054716,0.0000888631,0.00004686034,0.0001802797,0.0003198732,0.00001538662,0.0004407807,0.0003952081,0.0001052428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003584056,"about_ca_system_score_gemma":0.00008729753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001699545,"about_ca_topic_score_gemma":0.00004009766,"domain_scores_codex":[0.9985963,0.000108703,0.0002386381,0.000260641,0.0002330725,0.0005626364],"domain_scores_gemma":[0.9991523,0.00003708242,0.00005160159,0.0005237646,0.00009951012,0.0001357588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00125613,0.0002382306,0.0005291619,0.00009905557,0.0006557615,0.0001011263,0.0005030005,0.004528395,0.4774657,0.04218467,0.2048332,0.2676055],"study_design_scores_gemma":[0.001522431,0.0003905756,0.0007842244,0.00007467691,0.00001850242,0.0001526995,0.0003952284,0.002651583,0.01201156,0.009577723,0.9720523,0.000368539],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446607,0.01002346,0.01318172,0.008115903,0.0009653476,0.001220294,0.00006341551,0.00005872395,0.02171049],"genre_scores_gemma":[0.9934779,0.003864044,0.001154559,0.0002565066,0.0003155622,0.00002181319,0.0002037212,0.00002792842,0.0006778982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.767219,"threshold_uncertainty_score":0.4828562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341711961660675,"score_gpt":0.3128471675414269,"score_spread":0.2894300479248201,"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."}}