{"id":"W3030872057","doi":"10.1002/jrsm.1425","title":"Development and validation of study filters for identifying controlled non‐randomized studies in <scp>PubMed</scp> and Ovid <scp>MEDLINE</scp>","year":2020,"lang":"en","type":"article","venue":"Research Synthesis Methods","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences; Impact","funders":"","keywords":"MEDLINE; Computer science; Randomized controlled trial; Medical physics; Filter (signal processing); Medicine; Information retrieval; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5179474,0.004511829,0.008795082,0.03241868,0.002974259,0.008765828,0.004973323,0.007183656,0.009010861],"category_scores_gemma":[0.7454728,0.003268016,0.015631,0.01735632,0.002823939,0.008685214,0.005330868,0.003002734,0.002154778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00829988,"about_ca_system_score_gemma":0.02887207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00471464,"about_ca_topic_score_gemma":0.006377733,"domain_scores_codex":[0.5995862,0.1485893,0.1897153,0.01699673,0.04200931,0.003103148],"domain_scores_gemma":[0.1469894,0.6978287,0.05593552,0.03100442,0.06650335,0.001738635],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01316622,0.0007086779,0.04207314,0.2480555,0.02120585,0.0007674189,0.0060077,0.00641728,0.006757942,0.02112993,0.03937603,0.5943344],"study_design_scores_gemma":[0.02653216,0.005639892,0.1219958,0.2118043,0.0750264,0.002158498,0.002557647,0.04932194,0.04439031,0.06336771,0.3951823,0.002023076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04683315,0.04893289,0.5635852,0.005699262,0.002589136,0.2670237,0.0430149,0.008330415,0.01399127],"genre_scores_gemma":[0.06993567,0.004079963,0.7028765,0.001847184,0.0003442809,0.2111066,0.00818288,0.0005624185,0.001064481],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4820526,"threshold_uncertainty_score":0.5944567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8992365636946418,"score_gpt":0.6515213976464072,"score_spread":0.2477151660482346,"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."}}