{"id":"W2060659600","doi":"10.1111/j.1471-1842.2008.00830.x","title":"A pragmatic critical appraisal instrument for search filters: introducing the CADTH CAI","year":2008,"lang":"en","type":"article","venue":"Health Information & Libraries Journal","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada; Canadian Agency for Drugs and Technologies in Health","funders":"","keywords":"Filter (signal processing); Computer science; Critical appraisal; Agency (philosophy); Information retrieval; Selection (genetic algorithm); Data science; Artificial intelligence; Medicine; Alternative medicine; Pathology","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":["metaresearch"],"category_scores_codex":[0.6788591,0.003569895,0.006416352,0.03407867,0.005056699,0.01169256,0.005998993,0.008234941,0.008015784],"category_scores_gemma":[0.8640288,0.003719349,0.01000895,0.02200635,0.009661014,0.01160808,0.01574824,0.01037069,0.001711729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02484254,"about_ca_system_score_gemma":0.06037664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003513885,"about_ca_topic_score_gemma":0.005193527,"domain_scores_codex":[0.1515665,0.6704354,0.1270801,0.008085219,0.04105261,0.001780294],"domain_scores_gemma":[0.08251665,0.6895845,0.0401706,0.02684225,0.1585439,0.002342082],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003123222,0.000403234,0.004847311,0.1131331,0.00389428,0.0003428033,0.0250703,0.006154513,0.002513103,0.1000587,0.1013182,0.6391411],"study_design_scores_gemma":[0.01461816,0.004195035,0.0191016,0.1747631,0.008796845,0.001269263,0.01266247,0.07604283,0.008111808,0.2116825,0.4660931,0.002663195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004977522,0.00722787,0.7251393,0.03061379,0.00469095,0.2120154,0.00255434,0.002223468,0.01055736],"genre_scores_gemma":[0.00929088,0.0006017327,0.8679943,0.001791698,0.0002423666,0.1194736,0.0002414408,0.00009152854,0.0002724754],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3211409,"threshold_uncertainty_score":0.396024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6532482781554212,"score_gpt":0.531136025688006,"score_spread":0.1221122524674152,"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."}}