{"id":"W1602382457","doi":"10.1002/0471250953.bi0901s00","title":"Creating Databases for Biological Information: An Introduction","year":2002,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Database; Computer science; Relational database; Flat file database; Relational database management system; Data management; Information retrieval; Data file","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":[0.004913623,0.0001556171,0.0002285945,0.0004677864,0.0002622828,0.0009081124,0.0009168021,0.00003976576,0.0003338155],"category_scores_gemma":[0.006109869,0.0001098797,0.00006371277,0.000936309,0.00009484901,0.003851307,0.0003418432,0.0001409716,0.0003393128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005265317,"about_ca_system_score_gemma":0.00001915541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001762588,"about_ca_topic_score_gemma":0.000003184572,"domain_scores_codex":[0.9970324,0.00008686416,0.001444048,0.0003171553,0.0007887967,0.0003307068],"domain_scores_gemma":[0.997619,0.0004170023,0.0004772608,0.001116702,0.0002688011,0.0001012553],"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":[0.00002219458,0.0001904836,0.00243172,0.00008543766,0.000002418043,1.270865e-7,0.001352402,0.0005975699,0.000001702522,0.01138038,0.1087561,0.8751795],"study_design_scores_gemma":[0.0004218196,0.00009715962,0.0006214629,0.00003614304,0.000001500812,0.000002098297,0.0006876996,0.3547086,0.00002310319,0.001007435,0.6422685,0.0001244101],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00948282,0.00004473703,0.8838267,0.001378163,0.00350951,0.09385505,0.0004708475,0.0003824587,0.007049698],"genre_scores_gemma":[0.06546183,0.00005138117,0.7525989,0.001323507,0.004548103,0.1709306,0.003888629,0.00004911147,0.001147922],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8750551,"threshold_uncertainty_score":0.8756949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4709996547656538,"score_gpt":0.4819528451281788,"score_spread":0.01095319036252501,"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."}}