{"id":"W2060706716","doi":"10.1186/1472-6963-10-123","title":"Recruitment of multiple stakeholders to health services research: Lessons from the front lines","year":2010,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; McMaster University","funders":"","keywords":"Knowledge translation; Health services research; Health administration; Nursing research; Health informatics; Public relations; Medicine; Health policy; Guideline; Sample (material); Promotion (chess); Medical education; Knowledge management; Nursing; Public health; Business; Political science","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":[0.6235951,0.003478831,0.005262489,0.006800968,0.02829177,0.03119604,0.01767967,0.02518535,0.01072067],"category_scores_gemma":[0.5940096,0.004127366,0.006022217,0.007329961,0.02860134,0.04637264,0.04496794,0.03227679,0.005587103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03034452,"about_ca_system_score_gemma":0.1271933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0236547,"about_ca_topic_score_gemma":0.03773317,"domain_scores_codex":[0.2470215,0.6804386,0.01728208,0.00888076,0.0371057,0.009271374],"domain_scores_gemma":[0.2154913,0.6377953,0.01671602,0.03459441,0.06474399,0.03065905],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001078941,0.001635015,0.01579633,0.01374216,0.0005953435,0.002303246,0.1885194,0.001315639,0.0008000491,0.05338236,0.1200491,0.6007825],"study_design_scores_gemma":[0.002361496,0.002772419,0.01123924,0.05465884,0.0006303417,0.002873425,0.2090497,0.006721786,0.002550419,0.3285408,0.3779015,0.0007000709],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01656543,0.02329298,0.1210662,0.8015163,0.007140774,0.008042703,0.0002483252,0.0004992902,0.0216279],"genre_scores_gemma":[0.2192095,0.02062462,0.4645051,0.2465991,0.005411707,0.03348261,0.0004049725,0.0008438026,0.008918564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3764049,"threshold_uncertainty_score":0.4641743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8524322801523545,"score_gpt":0.6762772900720601,"score_spread":0.1761549900802944,"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."}}