{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1546991,0.0002030824,0.0004749714,0.00204489,0.01428958,0.0001670141,0.0007436901,0.0002447355,0.0007765181],"category_scores_gemma":[0.07081933,0.0001553194,0.0001674586,0.00222199,0.0001227703,0.002613458,0.0002478844,0.001919823,0.001360999],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164513,"about_ca_system_score_gemma":0.01665205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005976353,"about_ca_topic_score_gemma":0.00001180781,"domain_scores_codex":[0.9847785,0.007254501,0.002456283,0.0003165494,0.00213372,0.003060437],"domain_scores_gemma":[0.9553376,0.03654902,0.001099307,0.0004731766,0.005019049,0.001521842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004083936,0.0000475268,0.00013507,0.002341682,0.00001541118,1.976474e-7,0.006174575,0.00002949218,0.0001656455,0.001701896,0.7218735,0.2671067],"study_design_scores_gemma":[0.002000559,0.0007515759,0.002755635,0.001151618,0.000003924702,0.00000656555,0.02053305,0.02161433,0.00009734757,0.02729806,0.9235927,0.0001946284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0512735,0.001404597,0.4860341,0.3880816,0.02088678,0.0442313,0.002401386,0.000677861,0.005008927],"genre_scores_gemma":[0.015622,0.008704738,0.7958671,0.06586582,0.007818524,0.04295571,0.003187973,0.0002562511,0.05972182],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3222157,"threshold_uncertainty_score":0.9994165,"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."}}