{"id":"W4234509913","doi":"10.1111/j.1574-0862.2004.tb00182.x","title":"Short‐term employment transitions of the Canadian labour force: rural‐urban differences in underemployment","year":2004,"lang":"en","type":"article","venue":"Agricultural Economics","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Underemployment; Disadvantage; Economics; Labour economics; Demographic economics; Rural area; Unemployment; Economic growth; Political science","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":[0.000576215,0.0001920156,0.0002423908,0.001897266,0.001921753,0.0009154833,0.0009117433,0.0002676777,0.002837105],"category_scores_gemma":[0.002099247,0.0001665238,0.0003546625,0.003637438,0.0005298066,0.0003569104,0.000965456,0.0004833072,0.0002291914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009812972,"about_ca_system_score_gemma":0.01326087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9892159,"about_ca_topic_score_gemma":0.9952928,"domain_scores_codex":[0.9994478,0.00003608839,0.00002731139,0.00006403128,0.000169945,0.0002549097],"domain_scores_gemma":[0.9984637,0.00009904789,0.0003767449,0.00004135046,0.0005378746,0.0004812769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009240369,0.00002947623,0.9888148,0.00003347821,0.00003163203,0.00006018072,0.002216295,0.0002161803,0.000219886,0.000241516,0.0007099964,0.007334132],"study_design_scores_gemma":[0.000001324477,0.000007628196,0.9982429,0.00000829272,0.000003782852,0.00001116167,0.001026171,0.0001168966,0.00002220511,0.00001579112,0.0005404408,0.000003359376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952269,0.000338839,0.00005909769,0.0002059532,0.000004961874,0.00002038242,0.002451909,0.000003597132,0.001688395],"genre_scores_gemma":[0.9979324,0.0002106742,0.00005239535,0.00002189212,0.000002165498,0.000006890698,0.0009975455,0.000001708801,0.0007743831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01078415,"threshold_uncertainty_score":0.0711984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517405181595417,"score_gpt":0.1890052957783094,"score_spread":0.1738312439623552,"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."}}