{"id":"W2604614383","doi":"10.1177/1352458517703800","title":"Long-term disability trajectories in primary progressive MS patients: A latent class growth analysis","year":2017,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Hôpital Notre-Dame; Clinique Neuro-Outaouais","funders":"Novartis Pharma; University of Tasmania","keywords":"Expanded Disability Status Scale; Interquartile range; Medicine; Natural history; Multiple sclerosis; Pediatrics; Internal medicine; Physical therapy","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":[0.01256169,0.0008324038,0.0009234177,0.002250074,0.0008566137,0.001564432,0.001024744,0.0007694627,0.002945409],"category_scores_gemma":[0.01271569,0.0003002658,0.002791918,0.001487045,0.0007877613,0.0007107811,0.001834952,0.001504793,0.0005413701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231067,"about_ca_system_score_gemma":0.001822555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01149033,"about_ca_topic_score_gemma":0.005390989,"domain_scores_codex":[0.9973741,0.001522944,0.0001156897,0.000419056,0.0003004421,0.0002677754],"domain_scores_gemma":[0.9915761,0.005348521,0.001226786,0.0008480703,0.0004872562,0.0005133194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009211407,0.0001934216,0.9640735,0.00004941156,0.0005628418,0.000105207,0.0003975676,0.01479644,0.0003069829,0.0007155262,0.0008979422,0.01698],"study_design_scores_gemma":[0.0001770491,0.0008004577,0.5787912,0.0001184962,0.0004928569,0.0004081061,0.001145327,0.4105189,0.0002887356,0.005680934,0.001501341,0.00007664124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852798,0.0002319426,0.01214609,0.0004536407,0.00002207241,0.0001524396,0.001134067,0.00008441241,0.0004955512],"genre_scores_gemma":[0.9946355,0.0000829436,0.003302442,0.00002130424,0.00001577834,0.0001192745,0.001565662,0.00001946999,0.00023766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01256169,"threshold_uncertainty_score":0.06643337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0737981939040684,"score_gpt":0.3186032186270203,"score_spread":0.244805024722952,"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."}}