{"id":"W2802677189","doi":"10.15185/izawol.432","title":"The labor market in Canada, 2000–2016","year":2018,"lang":"en","type":"article","venue":"IZA World of Labor","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Labour economics; Business; Economic geography; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009103973,0.0005255425,0.0005115962,0.003773493,0.007138029,0.005745767,0.001571042,0.002056273,0.007380867],"category_scores_gemma":[0.004318557,0.0005544532,0.0007301627,0.00820882,0.00166285,0.001581381,0.002456325,0.002540705,0.0008977011],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1498292,"about_ca_system_score_gemma":0.2832017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988185,"about_ca_topic_score_gemma":0.9995863,"domain_scores_codex":[0.997516,0.00003315144,0.0000772354,0.0001586115,0.0009364983,0.001278461],"domain_scores_gemma":[0.995952,0.00007985027,0.0003027382,0.00005345195,0.002293242,0.001318748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005964043,0.0002278788,0.3623978,0.0007053108,0.0002159275,0.0009179899,0.007813943,0.003316993,0.0008226482,0.05267316,0.4671293,0.1031827],"study_design_scores_gemma":[0.00003523045,0.00002844165,0.5409687,0.0003791953,0.00004789043,0.0001049629,0.007828642,0.001057132,0.0004022454,0.0009622224,0.4481088,0.00007652416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6230885,0.01939258,0.0008240395,0.08133255,0.002133954,0.000204905,0.1464161,0.0003402974,0.1262671],"genre_scores_gemma":[0.7579413,0.009058406,0.0008212585,0.005625132,0.0003584044,0.0001062224,0.02883066,0.0001081693,0.1971504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1498292,"threshold_uncertainty_score":0.9860776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007394278982531604,"score_gpt":0.253227032218191,"score_spread":0.2458327532356594,"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."}}