{"id":"W6946126768","doi":"10.26226/morressier.5b9a8cfddbd47e000fbf581f","title":"USING A KNOWLEDGE-TO-ACTION CYCLE TO HELP IMPROVE ADHERENCE TO CANADIAN STROKE BEST PRACTICE RECOMMENDATIONS FOR REHABILITATION AND INCREASE REHABILITATION INTENSITY","year":2017,"lang":"en","type":"other","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Best practice; Knowledge translation; Rehabilitation; Context (archaeology); Quality (philosophy); Stroke (engine); Evidence-based practice","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","bibliometrics","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.00342469,0.0009581076,0.001199896,0.0296756,0.001640701,0.006027249,0.003291341,0.0007947398,0.001188323],"category_scores_gemma":[0.02088047,0.001083359,0.000216403,0.01126127,0.0005331407,0.02108795,0.004227257,0.001304704,0.004049735],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008501668,"about_ca_system_score_gemma":0.00661456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3492534,"about_ca_topic_score_gemma":0.1634883,"domain_scores_codex":[0.9908907,0.002228921,0.001019249,0.00286527,0.001017978,0.001977905],"domain_scores_gemma":[0.9864744,0.004375289,0.0006933594,0.003125437,0.001134269,0.00419726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002573541,0.0005016359,0.0008950633,0.0005625414,0.0001498216,0.00001909218,0.0008572044,0.00000925225,0.001386443,0.001039747,0.9741233,0.01788239],"study_design_scores_gemma":[0.0011734,0.005059676,0.0009267543,0.002161474,0.00009594451,0.00001407062,0.001812334,0.0002033417,0.0004669005,0.0009374479,0.985972,0.001176677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01331145,0.001494239,0.0006635517,0.181164,0.003058942,0.06528175,0.08697898,0.001774442,0.6462727],"genre_scores_gemma":[0.003459672,0.0003163278,0.4902902,0.002842184,0.001734347,0.007511014,0.0111892,0.00352224,0.4791348],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4896266,"threshold_uncertainty_score":0.9997247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.150545295338194,"score_gpt":0.441086781314908,"score_spread":0.2905414859767139,"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."}}