{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7121474,0.001236728,0.002619047,0.004847882,0.002565598,0.01199808,0.004782572,0.006181678,0.01379247],"category_scores_gemma":[0.7816744,0.001654164,0.003004854,0.004523084,0.009329146,0.0178076,0.0182923,0.007646095,0.003299061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005866993,"about_ca_system_score_gemma":0.03616305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008794931,"about_ca_topic_score_gemma":0.001853825,"domain_scores_codex":[0.1155922,0.832,0.0332781,0.004122642,0.01361157,0.001395419],"domain_scores_gemma":[0.05577035,0.8406578,0.03705857,0.03940979,0.02130591,0.005797515],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002232139,0.0003596964,0.006949223,0.04943435,0.00142785,0.0002447575,0.01609948,0.0009214938,0.0009284547,0.02581967,0.0307929,0.8647901],"study_design_scores_gemma":[0.00658539,0.003335563,0.01274334,0.1657779,0.003296413,0.001580917,0.007185474,0.002488904,0.003272926,0.1247753,0.6686443,0.0003136388],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0299946,0.190196,0.3109956,0.3010931,0.01104013,0.03843847,0.001460332,0.002969571,0.1138123],"genre_scores_gemma":[0.3047502,0.06363818,0.4131914,0.109795,0.007606489,0.09183584,0.0008339271,0.001130255,0.007218744],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2878526,"threshold_uncertainty_score":0.3549736,"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."}}