{"id":"W7034583827","doi":"","title":"Wage and Inequalities in Canada (2018)","year":2018,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Wage; Inequality; Cover (algebra); Minimum wage; Service (business); Wage inequality","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":[],"consensus_categories":[],"category_scores_codex":[0.0001468949,0.0001703979,0.0002129898,0.00005661645,0.00003650362,0.00003373999,0.0001422874,0.00006022548,0.0001341834],"category_scores_gemma":[0.00003109063,0.0001872268,0.00001626413,0.0001311179,0.00004143285,0.0001494181,0.00003821643,0.0001798406,0.00008692269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004891269,"about_ca_system_score_gemma":0.0001286693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.69729,"about_ca_topic_score_gemma":0.8927143,"domain_scores_codex":[0.9990534,0.00002062602,0.0002815106,0.0001680892,0.0001360746,0.0003402854],"domain_scores_gemma":[0.9994726,0.00006274127,0.00001820396,0.0002899572,0.00001976975,0.0001367532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001189734,0.0001200663,0.315,0.004739924,0.00101188,0.0008817414,0.01043373,0.1347329,0.0248839,0.3279219,0.156127,0.02402799],"study_design_scores_gemma":[0.001433705,0.0000667388,0.09301636,0.0004317822,0.00001663813,0.00005961791,0.0008377999,0.03441675,0.007709594,0.0004916337,0.8601375,0.001381854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662645,0.001259273,0.0006168548,0.00008590274,0.001794739,0.000209644,0.00003029539,0.0003616528,0.02937717],"genre_scores_gemma":[0.9985301,0.00001585258,0.0006067572,0.0001321357,0.0002877865,0.00002687838,0.000003907078,0.00004367009,0.0003529043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7040105,"threshold_uncertainty_score":0.7634887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083541141398624,"score_gpt":0.1947495696171939,"score_spread":0.1839141582032077,"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."}}