{"id":"W1491036646","doi":"10.1002/0471250953.bi0809s12","title":"Searching, Viewing, and Visualizing Data in the Biomolecular Interaction Network Database (<scp>BIND</scp>)","year":2005,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Computer science; Metadata; Visualization; Software; The Internet; Interaction network; Database; World Wide Web; Information retrieval; Data mining; Chemistry; Programming language","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002541006,0.001231361,0.001191163,0.00661211,0.001089703,0.003119988,0.002165454,0.0008109771,0.05454284],"category_scores_gemma":[0.007403995,0.0006946851,0.0005705454,0.006847863,0.000437131,0.002669981,0.003135053,0.001443398,0.02673023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008310561,"about_ca_system_score_gemma":0.002251595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006830953,"about_ca_topic_score_gemma":0.01326395,"domain_scores_codex":[0.9989234,0.0001751587,0.0002068355,0.000139743,0.0004605393,0.00009435165],"domain_scores_gemma":[0.9978861,0.0007786911,0.0001746697,0.0005269818,0.0003159197,0.0003176218],"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":[0.0006967103,0.000154704,0.003520916,0.003171548,0.0001416001,0.0004960328,0.0007644789,0.001806757,0.02938993,0.01846326,0.8104716,0.1309224],"study_design_scores_gemma":[0.0002157592,0.00004991685,0.008813605,0.0003721899,0.00009982794,0.0006465221,0.0003383238,0.01145762,0.02738683,0.01777857,0.9326915,0.0001493208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.009450372,0.001178358,0.1661106,0.001216502,0.0003501131,0.00111514,0.5831625,0.1857346,0.05168178],"genre_scores_gemma":[0.02850585,0.002480932,0.2054226,0.0005130658,0.0001388974,0.001501718,0.7250222,0.01695211,0.01946275],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05454284,"threshold_uncertainty_score":0.182464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06634139380135394,"score_gpt":0.3835265003467553,"score_spread":0.3171851065454013,"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."}}