{"id":"W7155550042","doi":"10.33938/257-4","title":"LABOR PRODUCTIVITY AND AGRICULTURAL EMPLOYMENT IN CANADA","year":2025,"lang":"","type":"article","venue":"Economy labor management in agriculture","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Agriculture; Agricultural productivity; Unemployment; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005180943,0.0002088674,0.0003949502,0.002543106,0.003334081,0.002269731,0.0008237892,0.0004127857,0.007045048],"category_scores_gemma":[0.002365761,0.0002513638,0.0004994965,0.007189848,0.0006597316,0.0004116903,0.0009442519,0.0006444959,0.0006207263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05810116,"about_ca_system_score_gemma":0.0924965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984959,"about_ca_topic_score_gemma":0.9992291,"domain_scores_codex":[0.9992187,0.00004959641,0.00003697775,0.00007877129,0.00022359,0.0003924647],"domain_scores_gemma":[0.9980195,0.0001780708,0.0001795936,0.00004325087,0.0009811649,0.0005984433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000141809,0.00007866388,0.9510382,0.0001295719,0.00008735708,0.0003325639,0.002624107,0.001538937,0.0002764867,0.006566937,0.01163576,0.02554961],"study_design_scores_gemma":[0.00001207414,0.00001240397,0.9804518,0.00008348,0.00002460218,0.00004770608,0.003886404,0.001117523,0.0001422819,0.0002864817,0.01391768,0.0000175676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511153,0.002619211,0.0002039613,0.002478898,0.00004751638,0.00004301571,0.0163141,0.00004997057,0.02712801],"genre_scores_gemma":[0.9725538,0.001677179,0.0002411351,0.0001422629,0.00001170975,0.00001784253,0.003517087,0.00001710028,0.02182192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05810116,"threshold_uncertainty_score":0.4215554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004669734155863981,"score_gpt":0.1842120270832207,"score_spread":0.1795422929273567,"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."}}