{"id":"W7095857775","doi":"","title":"Aboriginal Inclusion in Yukon's Mining Industry: Training for Employment By","year":2015,"lang":"en","type":"article","venue":"","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Workforce; Microform; Authorization; Publication; Training (meteorology); Private sector","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":[0.001469925,0.0001465434,0.0002204739,0.0004695305,0.01250316,0.002815669,0.0009427314,0.0006657337,0.003751316],"category_scores_gemma":[0.001998205,0.0001874221,0.0001458378,0.001279633,0.002641167,0.0008870246,0.00384167,0.001026396,0.0003326636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0152777,"about_ca_system_score_gemma":0.05773019,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7472047,"about_ca_topic_score_gemma":0.9315287,"domain_scores_codex":[0.9986425,0.0003442762,0.00005279244,0.00008126681,0.0002318715,0.0006472569],"domain_scores_gemma":[0.9986676,0.000209714,0.0001457549,0.00004332041,0.000358345,0.0005753597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008169966,0.000115533,0.1028852,0.0006380972,0.00002520556,0.004332247,0.7817965,0.0001605796,0.002882669,0.006064176,0.0106477,0.09037047],"study_design_scores_gemma":[0.000003339148,0.00005368168,0.08728163,0.0002482448,0.000009541713,0.0003567502,0.8755273,0.00007563382,0.0002579234,0.0002672967,0.03590124,0.00001738591],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753088,0.0008702055,0.0002290593,0.004818046,0.00004693585,0.0000573098,0.00005013416,0.000008670302,0.01861078],"genre_scores_gemma":[0.9910255,0.001069847,0.0004901516,0.0004216236,0.000003946824,0.00003517954,0.00003018585,0.000005677587,0.006917947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2527953,"threshold_uncertainty_score":0.5085682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1787843255174672,"score_gpt":0.4527409949733486,"score_spread":0.2739566694558814,"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."}}