{"id":"W4392959368","doi":"10.1002/jrsm.1717","title":"Combining randomized and non‐randomized data to predict heterogeneous effects of competing treatments","year":2024,"lang":"en","type":"article","venue":"Research Synthesis Methods","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amgen (Canada)","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission; Biogen; Celgene; Sanofi; National Science Foundation","keywords":"Randomized controlled trial; Medicine; Internal medicine","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04495085,0.0003355637,0.002975848,0.001009548,0.0002515566,0.0001338588,0.0005211935,0.0001279163,0.00006643106],"category_scores_gemma":[0.1409397,0.0002233069,0.0003402877,0.0006792165,0.001497031,0.0001326317,0.001606765,0.0005705035,0.00002319831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000142457,"about_ca_system_score_gemma":0.0002226309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003349306,"about_ca_topic_score_gemma":0.000005282081,"domain_scores_codex":[0.9814749,0.01421278,0.0008619121,0.001018215,0.001539847,0.0008923555],"domain_scores_gemma":[0.8145484,0.1828208,0.00009741728,0.001484144,0.0004105073,0.0006387482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.3417987,0.0005595918,0.0003476046,0.007655562,0.008660505,0.0003375077,0.004106428,0.00001583448,0.2550441,0.0001309562,0.0007758458,0.3805674],"study_design_scores_gemma":[0.5311647,0.000721504,0.0008382907,0.01006357,0.001750686,0.00005741835,0.000534118,0.1511112,0.3020639,0.0002845059,0.001005629,0.0004045013],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8146234,0.0552744,0.08138737,0.005967753,0.0009102622,0.0321533,0.0002690591,0.0006200917,0.008794389],"genre_scores_gemma":[0.7975084,0.006140856,0.1941855,0.00002600423,0.000150053,0.001578762,0.00001861935,0.00007925853,0.0003126329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3801629,"threshold_uncertainty_score":0.9834241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1908942797897129,"score_gpt":0.5087678801306569,"score_spread":0.317873600340944,"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."}}