{"id":"W6921446104","doi":"10.6084/m9.figshare.c.5102291.v1","title":"Developing theory-informed knowledge translation strategies to facilitate the use of patient-reported outcome measures in interdisciplinary low back pain clinical practices in Quebec: mixed methods study","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de Readaptation Gingras Lindsay de Montreal; McGill University; Université de Montréal; Université du Québec à Trois-Rivières; University Health Network; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Prom; Knowledge translation; Likert scale; Patient-reported outcome; Psychological intervention; Context (archaeology); Intervention (counseling); Low back pain; Focus group","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":[0.07552858,0.001049039,0.001180683,0.002433437,0.004622992,0.002966399,0.002901009,0.001110646,0.00453827],"category_scores_gemma":[0.06354148,0.0008139198,0.001447082,0.004107916,0.001496601,0.00139799,0.002878839,0.001283376,0.0003311192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04154701,"about_ca_system_score_gemma":0.07816742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5213633,"about_ca_topic_score_gemma":0.6591585,"domain_scores_codex":[0.9637679,0.02702159,0.002510004,0.001738932,0.003152937,0.001808688],"domain_scores_gemma":[0.9181364,0.05525485,0.004469989,0.003007691,0.01760082,0.001530313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002020978,0.01111535,0.1762035,0.01400841,0.001088514,0.001309917,0.2467621,0.003213757,0.004260585,0.003497806,0.006989525,0.5295295],"study_design_scores_gemma":[0.008010698,0.01633954,0.5407678,0.01973128,0.002705782,0.0004462453,0.3183143,0.03229667,0.007714138,0.004060954,0.04902549,0.0005870271],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8705556,0.002107431,0.03176608,0.002264343,0.0001053598,0.08318419,0.002015501,0.0001316104,0.007869884],"genre_scores_gemma":[0.820614,0.001546698,0.0904648,0.001481613,0.00004039074,0.08262878,0.0009986631,0.00003449825,0.00219048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4786367,"threshold_uncertainty_score":0.962911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.590656159672772,"score_gpt":0.4317084911963329,"score_spread":0.158947668476439,"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."}}