{"id":"W4382395275","doi":"10.1101/2023.06.25.23291871","title":"Admission and discharge profiles of people with MS accessing in-patient rehabilitation in Canada","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University","funders":"","keywords":"Rehabilitation; Cohort; Odds; Quality of life (healthcare); Latent class model; Logistic regression; Medicine; Physical therapy; Physical medicine and rehabilitation; Akaike information criterion; Psychology; Gerontology; Statistics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005463312,0.0002588478,0.0004373367,0.001337802,0.00252945,0.0013332,0.001032143,0.0004628475,0.001685171],"category_scores_gemma":[0.003305904,0.0002313802,0.0006520352,0.003479118,0.0006572526,0.0005292764,0.001383934,0.0009111337,0.0001671625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01867412,"about_ca_system_score_gemma":0.01999959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9795573,"about_ca_topic_score_gemma":0.982275,"domain_scores_codex":[0.9988754,0.00009667315,0.0000978321,0.0001545428,0.0002784586,0.0004969665],"domain_scores_gemma":[0.9966708,0.0001478996,0.0006695042,0.00008563926,0.001399486,0.00102676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000640041,0.00002777689,0.9962974,0.00001683109,0.00001913369,0.00005509101,0.0008132437,0.0000851754,0.0000667623,0.00005073687,0.000346009,0.002157883],"study_design_scores_gemma":[0.000003412265,0.00002389445,0.9973719,0.00002044031,0.00000736009,0.00003994221,0.001949329,0.0003342018,0.00002608612,0.00002635141,0.000188309,0.000008702777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970636,0.0001090107,0.00004926604,0.0001647309,0.000003249392,0.00002837344,0.001999525,0.00000445303,0.000577895],"genre_scores_gemma":[0.998369,0.00009284333,0.00006810181,0.00004201905,0.000001650409,0.00001143378,0.001150511,0.000001654614,0.0002627706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02044272,"threshold_uncertainty_score":0.1354908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03858018456922125,"score_gpt":0.3162224745784448,"score_spread":0.2776422900092236,"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."}}