{"id":"W2282157162","doi":"","title":"DIVERSITY MANAGEMENT : New Challenges Faced by Local Governments in the Montreal Metropolitan Area","year":2014,"lang":"en","type":"article","venue":"Public Performance & Management Review","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Diversity (politics); Business; Diversity management; Environmental planning; Regional science; Environmental resource management; Geography; Economic growth; Political science","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":[0.01509034,0.0002890255,0.0006959567,0.001659238,0.00760722,0.006023727,0.003573647,0.00222578,0.003227299],"category_scores_gemma":[0.01223503,0.0002686057,0.0004718499,0.004696129,0.004131841,0.003201663,0.005138522,0.002458566,0.0003332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01794187,"about_ca_system_score_gemma":0.06662032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4618726,"about_ca_topic_score_gemma":0.7565594,"domain_scores_codex":[0.9933084,0.003197613,0.0002141537,0.000342877,0.001562602,0.001374312],"domain_scores_gemma":[0.9859656,0.002790171,0.001498178,0.0004165284,0.004857213,0.004472293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009361143,0.0002358388,0.03678267,0.006520323,0.000160794,0.00182378,0.04634449,0.001455532,0.001147195,0.02965015,0.1261503,0.7496354],"study_design_scores_gemma":[0.00006725387,0.0003118222,0.110039,0.004778169,0.0001073761,0.0008229424,0.1167091,0.0004554157,0.0004190643,0.005681669,0.7604724,0.0001356925],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1503891,0.2841583,0.002288029,0.5034699,0.002169304,0.0002483981,0.0003291572,0.0001705215,0.05677737],"genre_scores_gemma":[0.7744458,0.1736109,0.004307086,0.02869494,0.002372002,0.00023874,0.0002603192,0.00006293305,0.01600732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5381274,"threshold_uncertainty_score":0.9183684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0569148298000286,"score_gpt":0.33290601907379,"score_spread":0.2759911892737614,"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."}}