{"id":"W4213273087","doi":"10.7326/acpjc-2005-142-1-a08","title":"Finding the gold in MEDLINE: Clinical Queries","year":2005,"lang":"en","type":"article","venue":"ACP Journal Club","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"","keywords":"Medicine; MEDLINE; Gold standard (test); Family medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001105058,0.000088206,0.0001289756,0.00002773608,0.00008361974,0.00003481007,0.000292451,0.0001786991,0.00003247939],"category_scores_gemma":[0.0008037169,0.00005297175,0.0001019051,0.00007074024,0.0001941571,0.000003392036,0.00009522693,0.0004218541,0.00001828829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000011892,"about_ca_system_score_gemma":0.00006868879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004713625,"about_ca_topic_score_gemma":0.0001092787,"domain_scores_codex":[0.9990204,0.0001348342,0.0003491983,0.0001411248,0.0001224733,0.0002319738],"domain_scores_gemma":[0.999536,0.00008574749,0.00009828855,0.0001669449,0.00003167672,0.00008137547],"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":[0.0002099468,0.0001791778,0.07813966,0.000008166882,0.0001074941,0.00006008378,0.0003586213,0.00006401347,0.01181857,0.0001799188,0.152308,0.7565663],"study_design_scores_gemma":[0.0006868921,0.0002685418,0.02794555,0.00002830665,0.00001138295,0.0002731381,0.000396324,0.00007373824,0.003374807,0.0002371285,0.9665677,0.0001364834],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828528,0.003266704,0.0003976459,0.01161985,0.0004268316,0.00004182519,0.000001738396,0.000008826061,0.001383781],"genre_scores_gemma":[0.9912445,0.00149452,0.002452961,0.001819045,0.001761959,0.000002811139,0.000003920581,0.000008941067,0.001211326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8142597,"threshold_uncertainty_score":0.2160125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04424447018990647,"score_gpt":0.3761877656943085,"score_spread":0.331943295504402,"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."}}