{"id":"W2021476707","doi":"10.1111/1467-8489.00168","title":"Determinants of non‐farm labour participation rates among farmers in Australia","year":2002,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Multivariate probit model; Spouse; Agriculture; Probit model; Socioeconomic status; Demographic economics; Economics; Socioeconomics; Geography; Agricultural economics; Labour economics; Demography; Political science; Sociology; Population; Econometrics","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":[0.001879558,0.000128485,0.0002000238,0.0004708412,0.0003631453,0.000457302,0.0003451555,0.0002365058,0.001991344],"category_scores_gemma":[0.005833704,0.0001596747,0.0001976057,0.0005058656,0.0003745808,0.0003604359,0.0005911644,0.0003245587,0.0003387297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004149381,"about_ca_system_score_gemma":0.0004995108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03646047,"about_ca_topic_score_gemma":0.04880928,"domain_scores_codex":[0.9989395,0.0004451786,0.00006963977,0.0001245196,0.000242259,0.0001789295],"domain_scores_gemma":[0.9966627,0.001022052,0.001260858,0.0001629369,0.0004155292,0.0004760155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000466946,0.00006907513,0.9902657,0.00002098375,0.00002410873,0.0001835713,0.002106151,0.0001910852,0.0004355679,0.0000937865,0.0001140043,0.00644924],"study_design_scores_gemma":[8.688397e-7,0.00002623665,0.9987057,0.000004229941,0.000002416258,0.000053149,0.0006445241,0.0003682444,0.00002651267,0.00004539369,0.0001212022,0.000001431602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995721,0.0000280062,0.0000519916,0.00003883081,5.164385e-7,0.000004151067,0.00003990541,7.709852e-7,0.0002638594],"genre_scores_gemma":[0.9993988,0.00004752776,0.00005768128,0.000006607534,0.000001177268,0.000005963924,0.00005583772,6.31014e-7,0.000425702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03646047,"threshold_uncertainty_score":0.07249647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590080202064252,"score_gpt":0.2399815205846123,"score_spread":0.2140807185639698,"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."}}