{"id":"W4392815889","doi":"10.29173/jaed360","title":"Aboriginal Employment in 2015: A Year of Negative Results","year":2016,"lang":"en","type":"article","venue":"Journal of Aboriginal Economic Development","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Unemployment; Unemployment rate; Demographic economics; Economics; Labour economics; Geography; Demography; Economic growth; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.00773106,0.0003842624,0.000652931,0.001760285,0.002031833,0.00322472,0.0007821423,0.001171518,0.001701299],"category_scores_gemma":[0.008095901,0.0002286217,0.0006942059,0.002189147,0.0008619218,0.001653627,0.002861524,0.001631283,0.0005064662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004734688,"about_ca_system_score_gemma":0.009967149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2178525,"about_ca_topic_score_gemma":0.2772865,"domain_scores_codex":[0.9967375,0.0003927021,0.0003531509,0.0002245274,0.001503886,0.0007882033],"domain_scores_gemma":[0.9922754,0.0006858076,0.001377043,0.0002159478,0.003477765,0.001968066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006318135,0.0003777577,0.8016241,0.002120049,0.0002769058,0.001156995,0.01399025,0.0003236102,0.001063426,0.002124886,0.07610113,0.1002091],"study_design_scores_gemma":[0.000004762515,0.000205956,0.952476,0.0006806295,0.00006017131,0.0002312249,0.01397508,0.0001978721,0.0003090604,0.000252395,0.03157501,0.0000318638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8891695,0.02544629,0.0007934884,0.05087015,0.005277623,0.0001561157,0.01466327,0.0002140411,0.01340965],"genre_scores_gemma":[0.9704146,0.007857281,0.0008092662,0.007092195,0.001109433,0.0001024996,0.007872934,0.0000286101,0.004713258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7821475,"threshold_uncertainty_score":0.433169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250345040187553,"score_gpt":0.3298071074178995,"score_spread":0.317303657016024,"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."}}