{"id":"W2465304555","doi":"10.1161/circoutcomes.6.suppl_1.a197","title":"Abstract 197: Multilevel Analysis Of Clinical Trial Data: Is It Necessary?","year":2013,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Courage; Multilevel model; Medicine; Random effects model; Quality of life (healthcare); Clinical trial; Statistics; Internal medicine; Meta-analysis; Nursing; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3002497,0.001189207,0.005766468,0.002849965,0.001832624,0.006067987,0.003753366,0.003197257,0.01145013],"category_scores_gemma":[0.5893719,0.001504759,0.008846364,0.006427779,0.006617954,0.005445689,0.003722681,0.007176182,0.0009617684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003646784,"about_ca_system_score_gemma":0.006930748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003237678,"about_ca_topic_score_gemma":0.005569695,"domain_scores_codex":[0.4459938,0.4627997,0.03688755,0.01627378,0.03651071,0.001534468],"domain_scores_gemma":[0.1472537,0.7316847,0.04472211,0.05437123,0.01960598,0.002362259],"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":[0.01085343,0.000502078,0.176377,0.04081335,0.06192686,0.0008810151,0.003503327,0.01227657,0.002720321,0.0566956,0.1295032,0.5039473],"study_design_scores_gemma":[0.007383495,0.01206788,0.308439,0.03426819,0.02833815,0.001931606,0.002261498,0.1410329,0.004464768,0.3060528,0.1524961,0.001263598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08693784,0.05868629,0.6485435,0.1518421,0.01688022,0.01188816,0.01140034,0.002132766,0.0116888],"genre_scores_gemma":[0.620799,0.007908203,0.3227088,0.02081602,0.00928646,0.01326391,0.002598575,0.000783151,0.001835824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6997503,"threshold_uncertainty_score":0.8629167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7555599068583149,"score_gpt":0.547387812973691,"score_spread":0.2081720938846239,"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."}}