{"id":"W7055201286","doi":"","title":"CASE 5: A Stakeholder Analysis: Developing an Indigenous-Specific Intercultural Competency Training Module (Part A)","year":2021,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stakeholder; Stakeholder engagement; Brainstorming; Indigenous; Stakeholder analysis; Health care; Cultural competence; Quality (philosophy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00734381,0.000578851,0.0003531483,0.001083971,0.01371133,0.002898776,0.002154347,0.0062825,0.007038229],"category_scores_gemma":[0.0138975,0.0004212818,0.001016518,0.0007322539,0.003726859,0.003456397,0.006276703,0.004940645,0.0007531238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008110315,"about_ca_system_score_gemma":0.0109624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02618015,"about_ca_topic_score_gemma":0.03754901,"domain_scores_codex":[0.9898727,0.005135262,0.0002483774,0.0005048742,0.001540568,0.002698226],"domain_scores_gemma":[0.9939015,0.002424559,0.0004443978,0.0002104081,0.0009326022,0.002086569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002730649,0.001108607,0.02052348,0.001037565,0.00006439899,0.1139673,0.5778605,0.004533555,0.007127123,0.1334302,0.06579413,0.07428005],"study_design_scores_gemma":[0.00003528465,0.0003926875,0.00899091,0.0009910433,0.0000472387,0.03681063,0.5665748,0.00751007,0.007290406,0.01594146,0.3552743,0.0001411853],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6524975,0.000899136,0.05000205,0.08351249,0.0007291331,0.002015128,0.0002028123,0.0002429833,0.2098988],"genre_scores_gemma":[0.9268817,0.0005590002,0.0180153,0.01067225,0.0001100006,0.0007464865,0.00008557477,0.00007021836,0.04285941],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02618015,"threshold_uncertainty_score":0.05884475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2070331128486893,"score_gpt":0.3014210136614331,"score_spread":0.09438790081274381,"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."}}