{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09391725,0.001382269,0.0061677,0.002129931,0.0005424168,0.004389095,0.002576561,0.004220958,0.003382751],"category_scores_gemma":[0.1535054,0.0006970901,0.004127719,0.002232203,0.001337311,0.0033326,0.001596789,0.004811161,0.001042465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620073,"about_ca_system_score_gemma":0.007871696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000760138,"about_ca_topic_score_gemma":0.001990517,"domain_scores_codex":[0.9304902,0.05613115,0.00748462,0.001151151,0.004332111,0.0004108236],"domain_scores_gemma":[0.8180738,0.16488,0.007505423,0.002775388,0.005963734,0.0008016736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001950691,0.000203927,0.0006624966,0.1613838,0.002138933,0.0001984359,0.000476315,0.001340779,0.001203968,0.01228367,0.01869679,0.7994601],"study_design_scores_gemma":[0.01029543,0.002887696,0.004931605,0.4058895,0.01426814,0.001266423,0.0006892338,0.002057301,0.001705898,0.03966025,0.5161265,0.0002221391],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00109963,0.9685317,0.01136331,0.007162347,0.002028618,0.007028867,0.0002495474,0.00008456242,0.002451343],"genre_scores_gemma":[0.01666841,0.8744395,0.07252064,0.01364694,0.001774637,0.01914989,0.0003968263,0.00008053877,0.001322595],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.09391725,"threshold_uncertainty_score":0.4966878,"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."}}