{"id":"W4230565533","doi":"10.1002/0471250953.bi0901s42","title":"Creating Databases for Biological Information: An Introduction","year":2013,"lang":"en","type":"review","venue":"Current Protocols in Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"NoSQL; Database; Computer science; Relational database; Flat file database; 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":[0.01111436,0.001867096,0.002809719,0.01147919,0.001341798,0.00895578,0.006926719,0.004062603,0.00600378],"category_scores_gemma":[0.01167006,0.001973754,0.001737594,0.01578039,0.004951044,0.02371993,0.006327498,0.009853247,0.009096102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003184086,"about_ca_system_score_gemma":0.003119744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001820371,"about_ca_topic_score_gemma":0.001136624,"domain_scores_codex":[0.9916654,0.00248712,0.001301968,0.0008615725,0.003383835,0.0003001844],"domain_scores_gemma":[0.9884255,0.006450498,0.0007312032,0.001081973,0.002563825,0.0007469772],"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":[0.00005036298,0.0001033229,0.0004291252,0.01020389,0.0001019887,0.0004607595,0.0006109426,0.000910944,0.002646823,0.1541502,0.110219,0.7201126],"study_design_scores_gemma":[0.000007793281,0.00002366479,0.000193416,0.002902872,0.00001757555,0.001081324,0.0001493255,0.0004706909,0.0004166612,0.02737354,0.9673249,0.00003829927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.0003410064,0.8656104,0.1090248,0.00911181,0.00354627,0.0003367477,0.0005630042,0.001026131,0.01043982],"genre_scores_gemma":[0.00386951,0.8176737,0.1580064,0.007077715,0.004010414,0.0006258446,0.00193755,0.0004287954,0.006370077],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01147919,"threshold_uncertainty_score":0.05877906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1814244941947805,"score_gpt":0.4513500495060855,"score_spread":0.2699255553113049,"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."}}