{"id":"W2064386007","doi":"10.1108/00021461111177602","title":"Farm income variability and off‐farm diversification among Canadian farm operators","year":2011,"lang":"en","type":"article","venue":"Agricultural Finance Review","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Farm income; Diversification (marketing strategy); Revenue; Agriculture; Portfolio; Business; Economics; Production (economics); Agricultural economics; Agricultural science; Geography; Finance; Marketing; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000353743,0.0003070291,0.0004383934,0.00001140707,0.0004118572,0.00006599793,0.0004016696,0.0001482515,0.0003498824],"category_scores_gemma":[0.00006679964,0.0001022872,0.0001536819,0.0004891526,0.0001057053,0.0002169837,0.0001080768,0.000191909,0.000128301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00014533,"about_ca_system_score_gemma":0.00002119076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08700495,"about_ca_topic_score_gemma":0.1767548,"domain_scores_codex":[0.9983353,0.0001081387,0.0004367722,0.0005256914,0.0001073518,0.0004867617],"domain_scores_gemma":[0.9991731,0.00005754012,0.0002058982,0.000115568,0.0001432711,0.0003046339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001112273,0.0001275575,0.201932,0.000416945,0.00007177229,0.00001230359,0.0004919997,9.70617e-7,0.002600788,0.01787303,0.002289603,0.7741719],"study_design_scores_gemma":[0.00005702235,0.0000650269,0.8920051,0.0002737678,0.00003065348,0.00001643745,0.00007137615,0.000002515801,0.00007854034,0.00009923466,0.1069593,0.0003409538],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794676,0.009652786,1.067477e-7,0.001358404,0.000147573,0.0007146113,0.0001096253,0.00004874654,0.008500528],"genre_scores_gemma":[0.9307116,0.06742647,0.00005868995,0.0008062859,0.0001647704,0.00006377372,0.0001537659,0.000001369337,0.000613279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.773831,"threshold_uncertainty_score":0.9190748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230611926145825,"score_gpt":0.2017377495447603,"score_spread":0.1786765569301778,"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."}}