{"id":"W3194466122","doi":"","title":"“Doing” implementation science and knowledge translation: how to put research knowledge into practice in CSD","year":2015,"lang":"en","type":"article","venue":"Speech Language and Hearing","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Knowledge translation; Translation (biology); Knowledge management; Computer science; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2413216,0.002422213,0.00382312,0.008116812,0.01372451,0.03474679,0.009092837,0.01869184,0.01483621],"category_scores_gemma":[0.3190487,0.002339115,0.003769061,0.008274196,0.07463965,0.05675302,0.02217941,0.02012931,0.002967417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01316224,"about_ca_system_score_gemma":0.07991312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008088567,"about_ca_topic_score_gemma":0.008270076,"domain_scores_codex":[0.7431691,0.2203492,0.01196291,0.007449437,0.01252401,0.00454536],"domain_scores_gemma":[0.5530298,0.3363881,0.01159525,0.05983126,0.02893637,0.01021923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000926042,0.0005377168,0.003141954,0.002747545,0.0002543355,0.0003271031,0.04614135,0.002180119,0.0003551219,0.6823676,0.01928797,0.2425666],"study_design_scores_gemma":[0.0001021227,0.0000891065,0.0007545725,0.003430547,0.0001196743,0.0001422172,0.02035689,0.002758034,0.0008552368,0.9408006,0.03048395,0.0001069637],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01162486,0.003731594,0.5376974,0.372812,0.003486122,0.001326792,0.0001189096,0.001003519,0.06819887],"genre_scores_gemma":[0.3242758,0.002543984,0.6386251,0.02603518,0.0008412547,0.002518704,0.0001475683,0.0004115104,0.004600975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2413216,"threshold_uncertainty_score":0.9355856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3188383031771596,"score_gpt":0.5845934002605289,"score_spread":0.2657550970833693,"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."}}