{"id":"W4403605956","doi":"10.3390/healthcare12202089","title":"Urban–Rural Disparities in Community Participation after Spinal Cord Injury in Ontario","year":2024,"lang":"en","type":"article","venue":"Healthcare","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Spinal Cord Injury Ontario; University Health Network","funders":"","keywords":"Rurality; Descriptive statistics; Medicine; Gerontology; Spinal cord injury; Rural area; Activities of daily living; Logistic regression; Environmental health; Geography; Physical therapy","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":[0.0004990991,0.0001544168,0.0002188468,0.0009935535,0.002654313,0.0007467207,0.0005832757,0.0001904351,0.002200338],"category_scores_gemma":[0.001872513,0.0001405997,0.0002137897,0.002703088,0.0008848146,0.0003140808,0.001461397,0.0002226022,0.0001279595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0101013,"about_ca_system_score_gemma":0.01400244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9720738,"about_ca_topic_score_gemma":0.9901595,"domain_scores_codex":[0.9992669,0.00007012104,0.00005138862,0.0001031908,0.0001911494,0.0003172669],"domain_scores_gemma":[0.9987733,0.0001007419,0.0003918726,0.00004095143,0.000335742,0.0003574181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005309388,0.00003745731,0.9820525,0.00006873539,0.00002560347,0.0001256994,0.009373213,0.00007931345,0.0002850679,0.0001875913,0.0007952439,0.006916524],"study_design_scores_gemma":[0.000002116608,0.000009727302,0.9954074,0.00001881166,0.000004037902,0.00002112076,0.003959492,0.00004568276,0.0000155852,0.00001717645,0.0004964492,0.000002383801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967307,0.0001368573,0.00005061387,0.0002546935,0.000003095125,0.00003255516,0.0007956995,0.000002816701,0.001992902],"genre_scores_gemma":[0.9990281,0.000128528,0.00005031761,0.00004061479,0.000001890537,0.00002443987,0.0002692649,0.000001366579,0.0004555506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02792621,"threshold_uncertainty_score":0.07329041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202382016564145,"score_gpt":0.4611751118971196,"score_spread":0.340936910240705,"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."}}