{"id":"W7056795209","doi":"","title":"Ethnic Origin, Language and Earnings in Canada and the United States – A Survey","year":2013,"lang":"en","type":"other","venue":"uO Research (University of Ottawa)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ethnic group; Earnings; Immigration; Ethnic discrimination; Census; Work (physics)","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":[0.0003259566,0.0002635158,0.0003207576,0.001977127,0.003003695,0.001318389,0.0009280719,0.0004580882,0.004399419],"category_scores_gemma":[0.001237257,0.0003062953,0.0004276946,0.007218996,0.0006400858,0.0004854502,0.0007550523,0.0007276633,0.0008206399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006354077,"about_ca_system_score_gemma":0.0141211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839624,"about_ca_topic_score_gemma":0.9916972,"domain_scores_codex":[0.9994093,0.00003366862,0.00004768667,0.00005814011,0.0002168165,0.0002344321],"domain_scores_gemma":[0.9977818,0.00009068457,0.0004478934,0.00004871804,0.0008788508,0.0007520013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004375629,0.00006214612,0.9917692,0.00001756585,0.00003757286,0.0001295613,0.00144825,0.0000527019,0.00006807383,0.0001212815,0.002890738,0.003359011],"study_design_scores_gemma":[0.000002473623,0.000009645103,0.9930469,0.00002718448,0.00001122915,0.00005844862,0.004641484,0.00006512932,0.00002393179,0.00002539773,0.002078645,0.000009475351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839683,0.0006786955,0.00003662464,0.0004019815,0.00001667959,0.00002228046,0.009466718,0.000008588802,0.005400181],"genre_scores_gemma":[0.9848167,0.001714973,0.0001014084,0.0002742027,0.00001511029,0.00002333547,0.006064702,0.00001333587,0.006976153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01603758,"threshold_uncertainty_score":0.04610229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720803595372045,"score_gpt":0.2790805527251258,"score_spread":0.2518725167714054,"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."}}