{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001787077,0.0003396809,0.0004077213,0.0004605884,0.0003782863,0.0004091732,0.0004594225,0.0001687569,0.00006323371],"category_scores_gemma":[0.000005743425,0.0003970713,0.0001787939,0.001648841,0.00005866912,0.001506401,0.0001219543,0.0004942859,0.0000875563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003016836,"about_ca_system_score_gemma":0.0001231489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003698996,"about_ca_topic_score_gemma":0.003065111,"domain_scores_codex":[0.9981529,0.0001623399,0.0003261895,0.0005748782,0.0002433662,0.000540358],"domain_scores_gemma":[0.9987587,0.00004413476,0.00007571299,0.0006262236,0.0001905588,0.0003046826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007875651,0.0005488087,0.8409259,0.000354889,0.004507299,0.04234018,0.05460218,0.02194118,0.02432841,0.001913548,0.0000181501,0.008440723],"study_design_scores_gemma":[0.004815258,0.0002470018,0.8610662,0.0006291438,0.002837552,0.007817931,0.04325717,0.0003577814,0.03393847,0.0004975528,0.03881961,0.005716374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981178,0.00016753,0.01740586,0.00004796267,0.0001733371,0.0001939637,0.00009466328,0.0005111673,0.0002274695],"genre_scores_gemma":[0.9971248,0.00007813916,0.0009288904,0.0001055769,0.0001008982,0.000004295136,0.0002481964,0.00005248231,0.001356719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03880146,"threshold_uncertainty_score":0.9998481,"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."}}