{"id":"W2026899437","doi":"10.1001/jama.2010.1692","title":"How to Use an Article About Quality Improvement","year":2010,"lang":"en","type":"article","venue":"JAMA","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Psychological intervention; Harm; Quality management; Unintended consequences; Intervention (counseling); Quality (philosophy); Alternative medicine; Risk analysis (engineering); Nursing; Social psychology; Operations management","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.07055957,0.0001526398,0.001234463,0.0001208533,0.0001005227,0.004665634,0.001199813,0.00006924315,0.005205761],"category_scores_gemma":[0.05787984,0.00007133186,0.0006059624,0.0006287214,0.0000259753,0.0007967137,0.0001239122,0.0001540207,0.003670707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001125787,"about_ca_system_score_gemma":0.00002342531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000896834,"about_ca_topic_score_gemma":0.0006692228,"domain_scores_codex":[0.9900408,0.0023354,0.003337205,0.000738747,0.003308909,0.0002389169],"domain_scores_gemma":[0.9914951,0.001330836,0.001296441,0.004546551,0.000964106,0.0003670216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001181048,0.0001475218,0.0761453,0.00001511957,0.00006940218,0.000003513486,0.001100667,0.000007513016,0.1147438,0.01419657,0.07749636,0.7160624],"study_design_scores_gemma":[0.0002079493,0.00006609359,0.4097374,0.000003970543,0.00003816935,0.000001570316,0.0006017812,0.001461714,0.003112331,0.003300166,0.5813023,0.000166526],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835113,0.00001145697,0.007853292,0.006318931,0.0003624026,0.000430948,0.00001350406,0.000007408743,0.001490704],"genre_scores_gemma":[0.9653577,5.945136e-7,0.01052732,0.001934019,0.0001705671,0.00003105815,0.000001597094,0.000006299243,0.02197084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7158959,"threshold_uncertainty_score":0.9971051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6623475478479308,"score_gpt":0.5318587706485419,"score_spread":0.1304887771993889,"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."}}