{"id":"W4247949085","doi":"10.1186/1745-6215-12-s1-a57","title":"Individual participant data meta-analyses compared with meta-analyses based on aggregate data","year":2011,"lang":"en","type":"article","venue":"Trials","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Meta-analysis; Aggregate data; Aggregate (composite); Data science; Computer science; Internal medicine; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008961335,0.0004030993,0.00389613,0.0002586839,0.0001786071,0.00006603856,0.001131941,0.00007997544,0.004137395],"category_scores_gemma":[0.004335535,0.0002025933,0.0005124846,0.0004814474,0.0002172873,0.0002865873,0.0004836979,0.0002160039,0.0001727937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001568926,"about_ca_system_score_gemma":0.000441403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613313,"about_ca_topic_score_gemma":0.0001253883,"domain_scores_codex":[0.9947355,0.001416634,0.001413694,0.001011654,0.0009848061,0.0004376509],"domain_scores_gemma":[0.9913988,0.002049736,0.0009361563,0.005053955,0.0002570638,0.0003043358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004404385,0.002650253,0.003435422,0.000267295,0.8201151,0.0001454964,0.003596362,0.0001494073,0.00008562525,0.0002596965,0.1625288,0.002362157],"study_design_scores_gemma":[0.002396324,0.0004762964,0.003254248,0.00003185244,0.9727637,0.000008971749,0.002901714,0.0007312944,0.002438606,0.00007888525,0.0145621,0.0003559977],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2829994,0.3069353,0.01474513,0.1220692,0.009388232,0.05279421,0.0957403,0.004167066,0.1111612],"genre_scores_gemma":[0.9754717,0.0001161138,0.01732141,0.002783706,0.0002939609,0.0002313164,0.003273905,0.00003627858,0.0004716208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6924723,"threshold_uncertainty_score":0.9967729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9869102595843776,"score_gpt":0.6314556487815096,"score_spread":0.355454610802868,"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."}}