{"id":"W2147172837","doi":"10.1186/1748-5908-5-53","title":"Interprofessional collaborative practice within cancer teams: Translating evidence into action. A mixed methods study protocol","year":2010,"lang":"en","type":"article","venue":"Implementation Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Université de Sherbrooke; Victorian Order of Nurses; Hôpital Charles-Le Moyne","funders":"Registered Nurses' Association of Ontario; Canadian Nurses Foundation","keywords":"Knowledge translation; Health services research; Medicine; Context (archaeology); Health informatics; Medical education; Health care; Best practice; Nursing research; Interprofessional education; Evidence-based practice; Nursing; Knowledge management; Public health; Alternative medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03466342,0.0003270832,0.0003717499,0.0006164361,0.005138974,0.0002031125,0.001091517,0.0001114852,0.003429902],"category_scores_gemma":[0.01661956,0.0002753103,0.00004533802,0.004796171,0.0007233081,0.0058312,0.0004164437,0.001397331,0.0001566009],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009562246,"about_ca_system_score_gemma":0.01992653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006064411,"about_ca_topic_score_gemma":0.03333684,"domain_scores_codex":[0.9875117,0.005512465,0.002332071,0.001150347,0.002293806,0.001199589],"domain_scores_gemma":[0.9858372,0.007861339,0.002038191,0.00067224,0.002989944,0.000601133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000474291,0.0002252503,0.08700435,0.0002151384,0.00003126634,0.000003691676,0.4184873,0.00002057437,0.3180465,0.001566135,0.004315657,0.1696098],"study_design_scores_gemma":[0.004667353,0.0006813853,0.06285033,0.0002775896,0.00005628699,0.000007864905,0.8465044,0.0008249722,0.02109897,0.0008007822,0.06163063,0.0005993688],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6464069,0.000009052201,0.02650608,0.04440365,0.007852488,0.2728701,0.00008791086,0.0003926841,0.001471114],"genre_scores_gemma":[0.5235831,0.000002100323,0.1831345,0.007620565,0.0003315481,0.2851323,0.000002546325,0.00002934276,0.0001639508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4280171,"threshold_uncertainty_score":0.9999699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6739604899129845,"score_gpt":0.8246371166663211,"score_spread":0.1506766267533366,"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."}}