{"id":"W2884208588","doi":"10.1111/irj.12223","title":"Sexual orientation, labour supply and occupational sorting in Canada","year":2018,"lang":"en","type":"article","venue":"Industrial Relations Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Sexual orientation; Earnings; Spouse; Sorting; sort; Psychology; Demographic economics; Orientation (vector space); Labour economics; Social psychology; Economics; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007824092,0.0002941382,0.0003525324,0.00298506,0.003244088,0.001346057,0.001039366,0.0003529335,0.003933709],"category_scores_gemma":[0.00221757,0.0002914692,0.0005372567,0.006820053,0.0007170701,0.000328479,0.001040351,0.0005340404,0.0003044014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02622761,"about_ca_system_score_gemma":0.04045444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978021,"about_ca_topic_score_gemma":0.9987912,"domain_scores_codex":[0.9991094,0.00006221645,0.00004395119,0.00009228045,0.0003105961,0.0003814205],"domain_scores_gemma":[0.9979006,0.0001200364,0.0003765785,0.00006178726,0.000991763,0.0005492102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007649686,0.00003636164,0.9881783,0.00005392096,0.00004969838,0.00007331186,0.00140864,0.0002418945,0.0001212465,0.0003861272,0.002113051,0.007260849],"study_design_scores_gemma":[0.00000328061,0.00001069226,0.9960496,0.00003237618,0.000006448256,0.00001492901,0.001954737,0.0001950393,0.00003392997,0.00003759447,0.001653681,0.000007618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826433,0.001005376,0.00008975783,0.0004334548,0.00001929584,0.00004994461,0.01164183,0.000007878019,0.004109063],"genre_scores_gemma":[0.9920849,0.0006724831,0.0001262874,0.00007245922,0.000004724502,0.00001820719,0.004050231,0.000004007947,0.002966628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02622761,"threshold_uncertainty_score":0.1902955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05207163463087765,"score_gpt":0.3132243415571717,"score_spread":0.2611527069262941,"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."}}