{"id":"W2432460944","doi":"10.1212/wnl.86.16_supplement.p3.100","title":"Comparison of Therapeutic Goals and Preferences in Multiple Sclerosis Patients and Providers Using Nominal Group Technique (P3.100)","year":2016,"lang":"en","type":"article","venue":"Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario","funders":"","keywords":"Griffin; Multiple sclerosis; Nominal group technique; Medicine; Psychology; Art; Psychiatry; Classics; Artificial intelligence; Computer science","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":[0.01134413,0.0002306351,0.0005015346,0.001377733,0.001060107,0.0009925105,0.0007418791,0.0006251524,0.004850904],"category_scores_gemma":[0.05925619,0.0001814551,0.0006176141,0.001098631,0.0008746456,0.0009572766,0.001891605,0.0009804982,0.0003032126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001764145,"about_ca_system_score_gemma":0.001291813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002939395,"about_ca_topic_score_gemma":0.003090404,"domain_scores_codex":[0.9860781,0.01047955,0.0007322247,0.0003934266,0.001549409,0.0007672632],"domain_scores_gemma":[0.9646145,0.02576673,0.003969261,0.001071857,0.003007054,0.001570653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.02141932,0.002710022,0.7349799,0.000919908,0.0009745187,0.0005802904,0.107605,0.002764762,0.003207879,0.002968518,0.006672993,0.115197],"study_design_scores_gemma":[0.002709911,0.008999233,0.7885827,0.0004188112,0.0003100398,0.0006694896,0.1654302,0.01512524,0.00230131,0.006971303,0.008261768,0.0002200056],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962958,0.0000557561,0.001347208,0.0002362967,0.000018904,0.0002896407,0.0002606495,0.000008594909,0.001487265],"genre_scores_gemma":[0.9972641,0.00002637562,0.001515257,0.00009288468,0.000007029531,0.000736683,0.0001725642,0.000003637227,0.0001815596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01134413,"threshold_uncertainty_score":0.05999416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1615129765046097,"score_gpt":0.3544182884886253,"score_spread":0.1929053119840155,"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."}}