{"id":"W4301244490","doi":"","title":"Stability of additive treatment effects in multiple treatment comparison meta-analysis: a simulation study","year":2012,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Stability (learning theory); Medicine; Computer science; Internal medicine; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2632847,0.002935644,0.005980775,0.00312074,0.001311674,0.003645826,0.004171068,0.00427304,0.004993368],"category_scores_gemma":[0.4021097,0.001785196,0.01837769,0.003876033,0.002104108,0.004170939,0.004085648,0.00726793,0.0003904475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004600449,"about_ca_system_score_gemma":0.004131268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007839401,"about_ca_topic_score_gemma":0.006795192,"domain_scores_codex":[0.7461036,0.240671,0.0041647,0.005102785,0.002837412,0.001120508],"domain_scores_gemma":[0.2149303,0.7587796,0.01027506,0.01058595,0.004697147,0.0007318842],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01997843,0.001094209,0.026961,0.006159771,0.06387066,0.001081046,0.0007429312,0.7893198,0.0005946673,0.04332074,0.004483687,0.04239316],"study_design_scores_gemma":[0.005912493,0.002904278,0.00394852,0.001151462,0.02366861,0.0004624329,0.0001656844,0.9013125,0.0005405853,0.05631895,0.003418838,0.0001956967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3425385,0.05123724,0.5788358,0.008302116,0.001200887,0.005503834,0.003151646,0.001024259,0.008205695],"genre_scores_gemma":[0.8457714,0.003551306,0.144794,0.001138242,0.0001264519,0.002773186,0.0008785379,0.0001234695,0.0008434117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7367153,"threshold_uncertainty_score":0.9085011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9352895565389213,"score_gpt":0.7186595126440565,"score_spread":0.2166300438948648,"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."}}