{"id":"W4307560953","doi":"10.1186/s12874-022-01750-2","title":"How can clinicians choose between conflicting and discordant systematic reviews? A replication study of the Jadad algorithm","year":2022,"lang":"en","type":"review","venue":"BMC Medical Research Methodology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McGill University Health Centre; University of Toronto; Ottawa Hospital; University of British Columbia; Nova Scotia Health Authority; Cochrane; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Jadad scale; Replicate; Systematic review; Algorithm; Computer science; Replication (statistics); MEDLINE; Medicine; Data science; Meta-analysis; Mathematics; Statistics; Pathology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.8395872,0.003633296,0.01090713,0.02353163,0.007687437,0.01923545,0.01181156,0.01383291,0.003705707],"category_scores_gemma":[0.9601437,0.006370865,0.01964859,0.01958897,0.01354029,0.02549081,0.01732338,0.008421957,0.00106666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01288901,"about_ca_system_score_gemma":0.03260456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004293307,"about_ca_topic_score_gemma":0.007601422,"domain_scores_codex":[0.05475155,0.7070496,0.1688941,0.02028038,0.04780091,0.001223415],"domain_scores_gemma":[0.02350759,0.76116,0.07262903,0.06954981,0.07182716,0.001326371],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.01181838,0.0007695835,0.1138924,0.240871,0.136738,0.001544896,0.0652461,0.006998052,0.002280604,0.05097764,0.02594809,0.3429154],"study_design_scores_gemma":[0.02276072,0.006591921,0.04686452,0.3774874,0.1278946,0.004626591,0.01973849,0.0405877,0.007324793,0.2135737,0.12933,0.003219652],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.09561404,0.2622757,0.4113958,0.09665759,0.01504325,0.0971649,0.004285222,0.001659566,0.01590391],"genre_scores_gemma":[0.3495398,0.009885826,0.5667381,0.01553407,0.00137082,0.05506942,0.001071161,0.0003412866,0.000449504],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1604128,"threshold_uncertainty_score":0.1978176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9851295895639681,"score_gpt":0.7600797078702005,"score_spread":0.2250498816937676,"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."}}