{"id":"W2097546522","doi":"10.1186/s13012-015-0213-5","title":"Fast tracking the design of theory-based KT interventions through a consensus process","year":2015,"lang":"en","type":"article","venue":"Implementation Science","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Université du Québec à Trois-Rivières; International Collaboration On Repair Discoveries; University of British Columbia; Canadian Memorial Chiropractic College; McGill University; Centre for Interdisciplinary Research in Rehabilitation; McGill University Health Centre","funders":"","keywords":"Knowledge translation; Psychological intervention; Medicine; Thematic analysis; Context (archaeology); Health care; Psychosocial; Neck pain; Intervention (counseling); Chiropractic; Nursing; Applied psychology; Medical education; Qualitative research; Psychology; Alternative medicine; Knowledge management; Psychiatry","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2298544,0.002494177,0.002647597,0.007386732,0.005010812,0.005853228,0.005234284,0.003323248,0.0169144],"category_scores_gemma":[0.3242321,0.002027082,0.003802715,0.006547885,0.004089052,0.00632016,0.01058449,0.006820223,0.004906724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01232398,"about_ca_system_score_gemma":0.04181509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005639336,"about_ca_topic_score_gemma":0.008940815,"domain_scores_codex":[0.7959572,0.1640674,0.01147398,0.01321428,0.01290146,0.002385727],"domain_scores_gemma":[0.6353185,0.2409599,0.0125174,0.03925782,0.06717201,0.004774347],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001148521,0.001430214,0.003231616,0.01459072,0.0003752696,0.0004713858,0.09841085,0.006347498,0.008327695,0.04030034,0.01686358,0.8085023],"study_design_scores_gemma":[0.008324368,0.005694855,0.01820553,0.0446688,0.002260307,0.0005878942,0.1323747,0.09533083,0.02900537,0.3476863,0.3149251,0.0009361516],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02799763,0.001102942,0.8604743,0.003233826,0.0008474226,0.0890201,0.0009113297,0.001240231,0.01517218],"genre_scores_gemma":[0.05253574,0.0003819808,0.8529394,0.000664195,0.00006470973,0.09133364,0.0005037467,0.0001919093,0.001384741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7701457,"threshold_uncertainty_score":0.9497266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2159546201397146,"score_gpt":0.5095514249125307,"score_spread":0.2935968047728161,"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."}}