{"id":"W3192788213","doi":"10.1177/0272989x211025525","title":"Testing for a Sweet Spot in Randomized Trials","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Canada Research Chairs; BrightFocus Foundation","keywords":"Sweet spot; Randomized controlled trial; Risk stratification; Clinical trial; MEDLINE; Blind spot","routes":{"ca_aff":true,"ca_fund":true,"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":[0.5886315,0.003683382,0.01247105,0.008366137,0.002374825,0.01238389,0.009027916,0.01626642,0.01757077],"category_scores_gemma":[0.7795535,0.003083299,0.01336489,0.009023805,0.0290047,0.0157169,0.007674,0.01633907,0.001952097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005956883,"about_ca_system_score_gemma":0.005680421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006070666,"about_ca_topic_score_gemma":0.0004099094,"domain_scores_codex":[0.1887143,0.7005635,0.03398907,0.04373107,0.03062224,0.002379899],"domain_scores_gemma":[0.08344462,0.8470693,0.02873415,0.03421566,0.004720768,0.001815567],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.04232283,0.0009738219,0.07345828,0.05974125,0.09193273,0.006588765,0.004594671,0.0282736,0.002682636,0.3475567,0.04795723,0.2939174],"study_design_scores_gemma":[0.01223265,0.009920537,0.01472023,0.01736921,0.01038358,0.003877148,0.001192642,0.1260005,0.00348159,0.7446406,0.0554654,0.0007159117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07367017,0.06041436,0.723976,0.06702553,0.02219941,0.01862869,0.004228668,0.005329265,0.02452798],"genre_scores_gemma":[0.6101398,0.003671479,0.3046831,0.04197713,0.006764818,0.02930345,0.0009530666,0.0006312218,0.001875959],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4113685,"threshold_uncertainty_score":0.5072907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3933425556166146,"score_gpt":0.5333925520726709,"score_spread":0.1400499964560563,"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."}}