{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0149323,0.00162882,0.002704017,0.009051277,0.002746236,0.0187204,0.007699781,0.00433458,0.0108029],"category_scores_gemma":[0.02298774,0.002734786,0.002373721,0.01864207,0.004536198,0.03600352,0.00691948,0.008899651,0.01046003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002682404,"about_ca_system_score_gemma":0.003690209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002121928,"about_ca_topic_score_gemma":0.001650005,"domain_scores_codex":[0.9884889,0.003117661,0.002552496,0.001202662,0.004194861,0.000443451],"domain_scores_gemma":[0.9856359,0.007816609,0.0006919203,0.002088043,0.002527524,0.001240008],"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":[0.00009567301,0.000165827,0.00107039,0.004685401,0.00009766509,0.00058991,0.001811612,0.002471481,0.00315497,0.3791494,0.1338423,0.4728653],"study_design_scores_gemma":[0.00001851624,0.00004921178,0.000292329,0.001017573,0.00002270125,0.0009941912,0.0003839984,0.002247565,0.0006225395,0.08983964,0.9044548,0.00005694421],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001308041,0.09175,0.8599093,0.01301351,0.004127707,0.001442923,0.002894397,0.004969471,0.02058464],"genre_scores_gemma":[0.006905095,0.08339869,0.8815457,0.004742185,0.003693823,0.001484143,0.006192532,0.00123284,0.010805],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0187204,"threshold_uncertainty_score":0.07897049,"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."}}