{"id":"W4415731664","doi":"10.1186/s12961-025-01411-y","title":"Implementation and evaluation of a knowledge translation process to optimize the adoption of harm reduction in cannabis use by practitioners working with youth in Quebec: a mixed-methods study","year":2025,"lang":"en","type":"article","venue":"Health Research Policy and Systems","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal","funders":"Fonds de Recherche du Québec-Société et Culture; Ministère de la Santé; Fonds de Recherche du Québec - Santé; Ministère de la Santé et des Services sociaux","keywords":"Harm reduction; Process (computing); Health services research; Knowledge translation; Cannabis; Harm; Public health; Health administration","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1067197,0.001458123,0.001502123,0.002387275,0.005476071,0.004320704,0.003046816,0.001633806,0.002956317],"category_scores_gemma":[0.07677998,0.0009807859,0.001975582,0.002807545,0.002293341,0.002141255,0.004688898,0.001908767,0.0003561187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03160763,"about_ca_system_score_gemma":0.07826199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1133522,"about_ca_topic_score_gemma":0.1947741,"domain_scores_codex":[0.9471139,0.03972022,0.003353626,0.001972665,0.003908671,0.00393092],"domain_scores_gemma":[0.9232147,0.04698803,0.006262356,0.003860518,0.01623723,0.003437259],"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":[0.004203212,0.02733174,0.04384599,0.01030278,0.0004272361,0.001357844,0.3766933,0.003129268,0.005558341,0.002018129,0.002439061,0.522693],"study_design_scores_gemma":[0.01229532,0.09259564,0.2778141,0.01235631,0.003390673,0.0004745158,0.5180371,0.01833752,0.01995658,0.003282203,0.0406642,0.0007956863],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9330367,0.0003241871,0.008312824,0.0008584586,0.00003699172,0.05365242,0.000399767,0.0001041273,0.003274534],"genre_scores_gemma":[0.8335584,0.0006103943,0.09821694,0.000750108,0.0000331843,0.06458053,0.0004050465,0.00003755833,0.001807852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8866478,"threshold_uncertainty_score":0.5643946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4532062626899684,"score_gpt":0.5976820815504563,"score_spread":0.1444758188604879,"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."}}