{"id":"W4386699064","doi":"10.18060/27364","title":"Methods for Evaluating Database Coverage","year":2023,"lang":"en","type":"article","venue":"Hypothesis Research Journal for Health Information Professionals","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Agency for Drugs and Technologies in Health","funders":"","keywords":"Computer science; Variety (cybernetics); Information retrieval; Search engine indexing; Database; Bibliographic database; Quality (philosophy); Artificial intelligence","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4074215,0.005215248,0.006469663,0.08382774,0.004988441,0.01676665,0.007646014,0.003976022,0.0286152],"category_scores_gemma":[0.7808196,0.003017189,0.01029664,0.07561278,0.004619171,0.01627702,0.01760944,0.004753883,0.006957088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008205369,"about_ca_system_score_gemma":0.02436669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004346016,"about_ca_topic_score_gemma":0.004536532,"domain_scores_codex":[0.3668076,0.2680681,0.2320789,0.01696483,0.1128486,0.003231979],"domain_scores_gemma":[0.1132468,0.6021194,0.06470372,0.06743092,0.149397,0.003102163],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003055683,0.0007048146,0.02876153,0.07929955,0.003477147,0.0004323654,0.01195292,0.002278778,0.003300189,0.03692243,0.05176632,0.7780482],"study_design_scores_gemma":[0.003901015,0.002713188,0.05496844,0.08482619,0.01127428,0.002028752,0.01451749,0.02318433,0.02689019,0.09687913,0.6769074,0.001909597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03041378,0.02083194,0.6090674,0.008753799,0.002653386,0.209584,0.05772731,0.01133136,0.04963696],"genre_scores_gemma":[0.04128245,0.00348902,0.731585,0.001421514,0.0005590676,0.2046634,0.01240471,0.001678646,0.00291615],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5925785,"threshold_uncertainty_score":0.7307548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.717534433846266,"score_gpt":0.7259274275672221,"score_spread":0.008392993720956032,"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."}}