{"id":"W6889189236","doi":"10.25384/sage.c.6782841","title":"Enhancing involvement of people with multiple sclerosis in clinical trial design","year":2023,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Clinical trial; Clinical study design; Multiple sclerosis; Alternative medicine; Research design; Public health; Clinical Practice; Adaptive design","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":[],"consensus_categories":[],"category_scores_codex":[0.001439261,0.0002167684,0.0005930503,0.0002158117,0.00002468123,0.0000214634,0.0005478931,0.0001568017,0.0002737858],"category_scores_gemma":[0.0003298259,0.0001868075,0.00005599768,0.0003072074,0.00002098553,0.0001402779,0.0002166783,0.0005811032,0.00001601294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000331196,"about_ca_system_score_gemma":0.00003874725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004969711,"about_ca_topic_score_gemma":0.002908358,"domain_scores_codex":[0.9982805,0.0001294173,0.0007800199,0.0003029677,0.0002404005,0.0002667444],"domain_scores_gemma":[0.9983177,0.0005857716,0.0002985724,0.0007075079,0.00001185316,0.00007857144],"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":[0.01200716,0.000935851,0.006095518,0.002463664,0.002090272,0.0006282394,0.001158424,0.1199884,0.02249631,0.000001796903,0.1522636,0.6798708],"study_design_scores_gemma":[0.3602464,0.006915542,0.01909824,0.3179468,0.001655817,0.0001010155,0.002744193,0.1293119,0.07864466,0.0003497751,0.07334507,0.009640635],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04865124,0.04787049,0.8794615,0.00007913874,0.0088663,0.005750801,0.002164602,0.00280428,0.004351687],"genre_scores_gemma":[0.3967012,0.3340745,0.2012165,0.0003355746,0.01709936,0.0002503756,0.0006945225,0.01242712,0.03720084],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6782449,"threshold_uncertainty_score":0.761779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2248941302779364,"score_gpt":0.3522271843719794,"score_spread":0.127333054094043,"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."}}