{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002035637,0.0002515533,0.0002174259,0.0001145724,0.0001311852,0.000228176,0.0008900535,0.0001387678,0.000002691065],"category_scores_gemma":[0.000197796,0.0002047226,0.00004464948,0.000286254,0.0001001424,0.0001064385,0.000911721,0.0004905133,0.00001677517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003329122,"about_ca_system_score_gemma":0.00008600932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008924611,"about_ca_topic_score_gemma":0.0000827769,"domain_scores_codex":[0.997985,0.0001362676,0.0008039356,0.0002856578,0.0002611008,0.0005280601],"domain_scores_gemma":[0.9984769,0.00007136576,0.0002772845,0.001051964,0.00003464302,0.0000878963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001249536,0.0008980569,0.01476646,0.002407475,0.0001045597,0.00001148083,0.01088139,0.004385899,0.002803696,0.002990525,0.04798003,0.9126455],"study_design_scores_gemma":[0.001266046,0.0001588261,0.0007853725,0.0006827092,0.000013953,0.00004569946,0.0007833701,0.1957994,0.0005418982,0.0001832987,0.7995204,0.0002189473],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4882558,0.01248702,0.2998053,0.00109983,0.001912614,0.1816511,0.0006243194,0.0001878871,0.0139761],"genre_scores_gemma":[0.8046349,0.005710655,0.125842,0.006304106,0.005270699,0.0398326,0.01200876,0.0002503822,0.0001458779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9124265,"threshold_uncertainty_score":0.8348344,"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."}}