{"id":"W4415586961","doi":"10.21083/crrf.v32i1.8541","title":"Rural Employment &amp; Workforce Development: Impacts and Opportunities","year":2025,"lang":"","type":"article","venue":"Proceedings of the Canadian Rural Revitalization Foundation","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Workforce; Workforce development; Rural area; Government (linguistics); Work (physics); Panel data","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002771008,0.0004197791,0.0002651995,0.0008321036,0.004009353,0.003764532,0.0009065502,0.004749329,0.05224524],"category_scores_gemma":[0.002425304,0.0002209394,0.0002262253,0.001795371,0.001098509,0.001628338,0.00264165,0.002691412,0.005950626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005419376,"about_ca_system_score_gemma":0.02519495,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1549216,"about_ca_topic_score_gemma":0.4299632,"domain_scores_codex":[0.9988674,0.0001340791,0.00001954728,0.00007666941,0.000563947,0.00033842],"domain_scores_gemma":[0.9975433,0.0003494696,0.00009294614,0.00003771586,0.0007592842,0.001217261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001899733,0.00001856583,0.0004138762,0.00008505565,0.000001433618,0.00004273426,0.0002453466,0.00005833076,0.0001918436,0.00257777,0.976349,0.01999703],"study_design_scores_gemma":[0.00001115346,0.00002008834,0.0051203,0.0001490583,0.000004036717,0.00002312763,0.00150958,0.0000598984,0.0001457621,0.001385466,0.9915574,0.00001415242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004001992,0.02059883,0.000345488,0.7896969,0.01349323,0.0001226879,0.0016262,0.0001095631,0.170005],"genre_scores_gemma":[0.06820969,0.04126851,0.0008233814,0.09936517,0.01004474,0.0001711611,0.001295813,0.000131596,0.77869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8450784,"threshold_uncertainty_score":0.3080397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05108574114922981,"score_gpt":0.249505273097133,"score_spread":0.1984195319479032,"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."}}