{"id":"W7162130526","doi":"10.82308/38549","title":"The impact of the COVID-19 pandemic on rehabilitation care of post-stroke users in the province of Québec","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Primary health care; Ile de france; Health care; Intensive care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220364,0.0002840157,0.000388954,0.001153844,0.001866189,0.001306714,0.0009361874,0.000455319,0.002566729],"category_scores_gemma":[0.004740018,0.0002392284,0.0003526453,0.00359379,0.0008911225,0.0004635595,0.0007746225,0.0005628408,0.0001971284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0239924,"about_ca_system_score_gemma":0.028644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857056,"about_ca_topic_score_gemma":0.9901102,"domain_scores_codex":[0.9986022,0.0003047262,0.000132824,0.0001713327,0.0003233009,0.0004655746],"domain_scores_gemma":[0.9954277,0.0006063083,0.001584935,0.0001599887,0.001641377,0.0005796866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001245356,0.0000429904,0.9896281,0.0002485965,0.00008394138,0.0001228417,0.00197648,0.0001623984,0.0002246071,0.0001035376,0.0009051225,0.006376905],"study_design_scores_gemma":[0.000003967131,0.00005470087,0.9967487,0.0001242162,0.00002092407,0.00003165034,0.002095881,0.0001240611,0.00003861816,0.000009394368,0.0007415486,0.000006399905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905863,0.001808863,0.0002156382,0.0005410674,0.00002086807,0.0001780803,0.004540196,0.000007133927,0.002101886],"genre_scores_gemma":[0.9966927,0.001010416,0.0001564571,0.0002335949,0.00000847979,0.00008870441,0.0008628456,0.000002700561,0.0009442404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0239924,"threshold_uncertainty_score":0.1740778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317873025096491,"score_gpt":0.3466418172053904,"score_spread":0.3334630869544256,"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."}}