{"id":"W2080701168","doi":"10.1016/j.jclinepi.2012.02.008","title":"New methods can extend the use of minimal important difference units in meta-analyses of continuous outcome measures","year":2012,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Institute for Clinical Evaluative Sciences; McMaster University; Hospital for Sick Children","funders":"","keywords":"Meta-analysis; Random effects model; Medicine; Confidence interval; Clinical trial; Statistics; Point estimation; Mean difference; Standard error; Estimation; Treatment effect; Drug trial; Econometrics; Internal medicine; Mathematics","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":[0.3232535,0.005359594,0.0242552,0.01208535,0.001344511,0.00784044,0.008799884,0.005814403,0.006134265],"category_scores_gemma":[0.6810224,0.002964087,0.02611213,0.01304724,0.00323089,0.01062727,0.009140201,0.014834,0.0007465492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002113472,"about_ca_system_score_gemma":0.0039006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879991,"about_ca_topic_score_gemma":0.002545893,"domain_scores_codex":[0.4607193,0.4852382,0.02821565,0.01141993,0.0136892,0.0007177159],"domain_scores_gemma":[0.2063423,0.7474644,0.0118284,0.02920932,0.004390656,0.0007648773],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01085086,0.001067003,0.01225854,0.0460993,0.2811651,0.0005121676,0.001249964,0.04245421,0.001301919,0.0942335,0.01432857,0.4944789],"study_design_scores_gemma":[0.01060055,0.004908305,0.009815438,0.009293763,0.08952086,0.0009688022,0.0004799849,0.3109587,0.003170678,0.5219973,0.0369477,0.001337903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003782752,0.02157254,0.965117,0.002086622,0.002997241,0.001597129,0.001030146,0.001033419,0.000783115],"genre_scores_gemma":[0.1041625,0.005552209,0.8769503,0.002188797,0.001431974,0.00805773,0.0006159635,0.000531707,0.0005088173],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6767465,"threshold_uncertainty_score":0.8345489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9886393920051221,"score_gpt":0.7473320582811612,"score_spread":0.2413073337239608,"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."}}