{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01013991,0.002547676,0.003341889,0.009240819,0.002258717,0.009320362,0.003131841,0.008973027,0.06140101],"category_scores_gemma":[0.08146083,0.001387628,0.001840688,0.004655824,0.002406082,0.007461749,0.002475658,0.006956439,0.03427375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004303707,"about_ca_system_score_gemma":0.005015376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001649004,"about_ca_topic_score_gemma":0.003327586,"domain_scores_codex":[0.9901578,0.002371825,0.002954344,0.0005698643,0.003491376,0.0004548032],"domain_scores_gemma":[0.9543008,0.01751595,0.005281585,0.0009502017,0.0183333,0.003618091],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002990342,0.000007314805,0.00003044974,0.0006895703,0.00001157164,0.0001251795,0.00003814044,0.00001107064,0.00005825954,0.0001353017,0.9905087,0.008354547],"study_design_scores_gemma":[0.00007735338,0.00003664856,0.0002262701,0.002547966,0.00004128549,0.000493879,0.0001702895,0.00006600579,0.0001540067,0.0004364007,0.9957241,0.00002572933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"methods","genre_scores_codex":[0.0007700579,0.05331964,0.001058418,0.2185216,0.7009035,0.000893925,0.001486028,0.0009318056,0.022115],"genre_scores_gemma":[0.005240571,0.06609982,0.002054536,0.1206611,0.7559482,0.0006634461,0.001851598,0.0004882935,0.04699244],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9898601,"threshold_uncertainty_score":0.2054068,"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."}}