{"id":"W3161958318","doi":"10.1002/pst.2129","title":"The detailed clinical objectives approach to designing clinical trials and choosing estimands","year":2021,"lang":"en","type":"article","venue":"Pharmaceutical Statistics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Boehringer Ingelheim (Canada)","funders":"","keywords":"Clinical trial; Medical physics; Computer science; Medicine; Econometrics; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3412148,0.003719393,0.004757069,0.00574157,0.001976077,0.01115614,0.004650093,0.008581285,0.01244022],"category_scores_gemma":[0.4027073,0.002283851,0.004844474,0.004287579,0.01022695,0.008983178,0.006724537,0.01962811,0.006551317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006004657,"about_ca_system_score_gemma":0.02667828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212759,"about_ca_topic_score_gemma":0.001871384,"domain_scores_codex":[0.551351,0.3966011,0.02172496,0.006214068,0.02268981,0.001419166],"domain_scores_gemma":[0.4683824,0.4639422,0.01932333,0.02461193,0.02034126,0.003398762],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001074302,0.0002468191,0.0009205129,0.01035823,0.001074316,0.0002947115,0.002793518,0.01087459,0.001002628,0.6991033,0.02993157,0.2423255],"study_design_scores_gemma":[0.001123025,0.001525563,0.0008493752,0.01029664,0.0007356445,0.0003936215,0.000582969,0.01020008,0.002314825,0.7603168,0.2113831,0.0002782038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007179566,0.006074261,0.9396783,0.02241528,0.001738987,0.01080947,0.0006193861,0.0003545088,0.01759186],"genre_scores_gemma":[0.015001,0.005100132,0.9461588,0.008327955,0.001259441,0.02071227,0.0002647304,0.0001888482,0.002986847],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6587852,"threshold_uncertainty_score":0.8123995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8294575017396123,"score_gpt":0.6433639861404327,"score_spread":0.1860935155991796,"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."}}