{"id":"W4403607976","doi":"10.21203/rs.3.rs-4559867/v1","title":"Implementing a new model of primary care for stroke survivors living in the community: a mixed-methods process evaluation","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nutrasource","funders":"Programme Grants for Applied Research; Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Primary care; Process (computing); Stroke (engine); Medicine; Gerontology; Process management; Computer science; Psychology; Family medicine; Business; Engineering","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":[0.1074357,0.002055849,0.002628542,0.002854011,0.007364742,0.006928526,0.005029738,0.004371351,0.004055621],"category_scores_gemma":[0.09980343,0.002061605,0.003538843,0.00202768,0.003610775,0.005484208,0.008239008,0.005000713,0.0005603213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01395998,"about_ca_system_score_gemma":0.05572488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01362012,"about_ca_topic_score_gemma":0.02128431,"domain_scores_codex":[0.9031627,0.07623359,0.006108989,0.004222396,0.007110379,0.003161911],"domain_scores_gemma":[0.9086964,0.06428999,0.004166328,0.008286107,0.008083376,0.006477854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.032933,0.2891838,0.02580928,0.007670153,0.001619508,0.0003227114,0.0924921,0.005562534,0.002152796,0.00475255,0.002628202,0.5348734],"study_design_scores_gemma":[0.1691718,0.5653442,0.07484858,0.005878245,0.007063624,0.0003140607,0.1175448,0.02242996,0.009518062,0.01112289,0.01579103,0.0009728692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9037767,0.0004100235,0.01443791,0.001321687,0.0002371685,0.07616276,0.0005503126,0.0002480324,0.002855434],"genre_scores_gemma":[0.7271656,0.0007185981,0.1377673,0.0008972579,0.00009904683,0.1312917,0.0005020988,0.00008671921,0.001471722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1074357,"threshold_uncertainty_score":0.5681812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1801171005474818,"score_gpt":0.5292145889225349,"score_spread":0.3490974883750532,"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."}}