{"id":"W2036536239","doi":"10.1177/0962280213480576","title":"An adaptive clinical trials procedure for a sensitive subgroup examined in the multiple sclerosis context","year":2013,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University","funders":"University of British Columbia","keywords":"Context (archaeology); Multiple sclerosis; Biomarker; Medicine; Clinical trial; Subgroup analysis; Oncology; Statistical power; Internal medicine; Outcome (game theory); Statistics; Meta-analysis; Immunology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.424471,0.0005199531,0.003275855,0.0004610296,0.0002613284,0.0002326922,0.001769774,0.00127682,0.002269217],"category_scores_gemma":[0.9691238,0.0003281395,0.0003796526,0.001548517,0.003419737,0.0001964018,0.0003541949,0.004907783,0.00008147521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002338094,"about_ca_system_score_gemma":0.0008911307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005719239,"about_ca_topic_score_gemma":0.0005437802,"domain_scores_codex":[0.7607859,0.2228483,0.007212942,0.002126001,0.004573914,0.002452932],"domain_scores_gemma":[0.05149031,0.9439297,0.000519397,0.001284971,0.001360025,0.001415579],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00215964,0.00173505,0.0004787573,0.0001825076,0.00007218963,0.00009366578,0.0006428978,3.113438e-7,0.0001952633,0.3287201,0.005873401,0.6598462],"study_design_scores_gemma":[0.005922207,0.002685414,0.02161195,0.0005262938,0.00006416925,0.000009077336,0.004540061,0.05369841,0.0002245259,0.9100258,0.0003070672,0.0003850455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008650542,0.000071492,0.9765431,0.004053355,0.0005497208,0.008905694,0.0004180964,0.00006749361,0.0007404562],"genre_scores_gemma":[0.1866149,0.00008825471,0.8074244,0.001178706,0.0007870584,0.003765924,0.00001387008,0.00008278321,0.00004404013],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7210814,"threshold_uncertainty_score":0.9999171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9252194452879065,"score_gpt":0.7518419097395197,"score_spread":0.1733775355483868,"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."}}