{"id":"W4402379955","doi":"10.1177/13524585241274620","title":"Selecting Informative Patients for Phase 2 Progressive Trials in MS: Design Considerations for Phase 2 Clinical Trials in Progressive MS","year":2024,"lang":"en","type":"review","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Clinical trial; Multiple sclerosis; Medicine; Cohort; Selection (genetic algorithm); Dosing; Internal medicine; Computer science; Psychiatry; Machine learning","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","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch","metaepi_narrow"],"category_scores_codex":[0.07216178,0.001415279,0.01445078,0.002584585,0.0007729131,0.000950377,0.0004739723,0.001061448,0.0001214768],"category_scores_gemma":[0.4317763,0.0009517462,0.004904872,0.001312273,0.0004271873,0.0007258829,0.0002618889,0.003585025,0.0000249602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491657,"about_ca_system_score_gemma":0.004046951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001428586,"about_ca_topic_score_gemma":0.00005095781,"domain_scores_codex":[0.9672114,0.01286511,0.01552966,0.001278342,0.001333364,0.001782137],"domain_scores_gemma":[0.8445318,0.137484,0.01218045,0.000829617,0.003710939,0.001263218],"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":[0.004530781,0.005121077,0.0002279986,0.0124802,0.003492024,0.00006078682,0.00209469,0.00001548514,0.00002292767,0.000006794241,0.03565622,0.936291],"study_design_scores_gemma":[0.3213337,0.02167095,0.0003257473,0.305445,0.01640411,0.0003032208,0.001651758,0.01523511,0.0003513824,0.0005085813,0.3136192,0.003151232],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007372259,0.9300933,0.003743507,0.0003925342,0.001867859,0.05969382,0.003318991,0.0001207647,0.00003194978],"genre_scores_gemma":[0.002068624,0.9384186,0.03376447,0.0001389899,0.003066768,0.02151336,0.0007232737,0.0002662567,0.00003963903],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9331398,"threshold_uncertainty_score":0.9998598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7745573034653884,"score_gpt":0.6094124903853415,"score_spread":0.1651448130800469,"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."}}