{"id":"W2076154283","doi":"10.7202/050855ar","title":"Sources of Employment Growth by Occupation and Industry in Canada","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Census; Labour economics; Economics; Demographic economics; Business; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00082385,0.0004108601,0.0005714804,0.01513023,0.002870647,0.002071782,0.0009863272,0.0002451522,0.002964241],"category_scores_gemma":[0.004765637,0.00030934,0.0006066082,0.03103159,0.0005240441,0.0004370619,0.001607816,0.0006584056,0.0003326414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04958685,"about_ca_system_score_gemma":0.05576653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972032,"about_ca_topic_score_gemma":0.9977227,"domain_scores_codex":[0.998342,0.00005687621,0.00006265985,0.0001177227,0.0008869801,0.0005336357],"domain_scores_gemma":[0.9956411,0.0003645281,0.0004546058,0.00009592899,0.003020426,0.0004234552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000296699,0.00004704048,0.8520289,0.0003670607,0.0002638987,0.0005428555,0.003709457,0.003908686,0.000509746,0.00574386,0.0250768,0.107505],"study_design_scores_gemma":[0.00001079557,0.00000654525,0.9773498,0.0001446593,0.00004726127,0.0000840561,0.001415629,0.002265837,0.0001933416,0.0003528571,0.01809363,0.00003562946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8348215,0.01044732,0.0007251729,0.002724341,0.00008771425,0.00007784054,0.1183232,0.000204712,0.03258834],"genre_scores_gemma":[0.9530462,0.006288568,0.0008093925,0.00009661839,0.00003103961,0.00003875625,0.03167581,0.00004138298,0.007972317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04958685,"threshold_uncertainty_score":0.3597795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676575334009448,"score_gpt":0.2049403043063094,"score_spread":0.1881745509662149,"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."}}