{"id":"W2000544357","doi":"10.1111/j.1471-1842.2008.00827.x","title":"Retrieving randomized controlled trials from <scp>medline</scp>: a comparison of 38 published search filters","year":2009,"lang":"en","type":"article","venue":"Health Information & Libraries Journal","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Health Sciences Centre; McMaster University Medical Centre","funders":"U.S. National Library of Medicine","keywords":"Randomized controlled trial; MEDLINE; Medicine; Medical physics; Information retrieval; Sensitivity (control systems); Computer science; Surgery","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","metaepi_broad","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4156268,0.0004120778,0.02140208,0.001687801,0.0005806834,0.008327086,0.001847998,0.0001883022,0.006767161],"category_scores_gemma":[0.4803923,0.0001844708,0.004917012,0.00194906,0.0001385307,0.008313454,0.00009284593,0.0007711931,0.0003560309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007443457,"about_ca_system_score_gemma":0.001261794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001730876,"about_ca_topic_score_gemma":0.000001296489,"domain_scores_codex":[0.8299986,0.06978994,0.08470187,0.0005733082,0.01400174,0.0009345067],"domain_scores_gemma":[0.7342022,0.1464929,0.10776,0.003575318,0.006394215,0.001575429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.01034008,0.000120062,0.002524166,0.000135001,0.001258419,0.000001377657,0.02993041,0.001440311,0.000009878268,0.01109578,0.8783336,0.06481092],"study_design_scores_gemma":[0.3246197,0.0006627643,0.005294687,0.0007945353,0.0009591763,0.00005992357,0.03668971,0.2917877,0.0002246579,0.05382374,0.2847114,0.0003720809],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1322288,0.02279716,0.7292781,0.05886614,0.003923265,0.0121907,0.0002491252,0.00007234591,0.04039435],"genre_scores_gemma":[0.93779,0.0009096575,0.04950239,0.008703482,0.0009341153,0.00006408123,0.0002332769,0.00001915571,0.00184384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8055612,"threshold_uncertainty_score":0.9941408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6252489608407887,"score_gpt":0.5271416118812581,"score_spread":0.09810734895953066,"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."}}