{"id":"W2953903906","doi":"10.5539/jas.v11n10p1","title":"Do Socioeconomic Factors Matter in Acreage Owned and Acreage Farmed by Small Livestock Producers in Alabama?","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Socioeconomic status; Livestock; Agriculture; Logistic regression; Geography; Socioeconomics; Agricultural science; Descriptive statistics; Ordered logit; Agricultural economics; Forestry; Economics; Demography; Population; Mathematics; Biology; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006963768,0.0002488457,0.0004295229,0.00006121199,0.0001249873,0.0002685582,0.0006592131,0.00011402,0.0003121672],"category_scores_gemma":[0.00004881175,0.00007773147,0.000114522,0.0005033068,0.0001838888,0.0009787061,0.0001511856,0.0003476995,0.00006874404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00026678,"about_ca_system_score_gemma":0.00003712977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007737267,"about_ca_topic_score_gemma":0.0006916837,"domain_scores_codex":[0.9981214,0.00006256388,0.0006230394,0.0004332978,0.0002014163,0.0005582283],"domain_scores_gemma":[0.9989526,0.0001613838,0.0004805899,0.00005939021,0.0000906069,0.0002554519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001970631,0.00006482081,0.5068706,0.000006409372,0.000006732577,0.000002361781,0.0008062774,0.00003052913,0.489727,0.00004829493,0.0008188865,0.001598408],"study_design_scores_gemma":[0.0003102071,0.0002401541,0.9929153,0.00004138267,0.000004602407,0.00004503578,0.002826666,0.00000585152,0.002430142,0.00005925251,0.0008650285,0.0002564243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956595,0.0001752585,3.228719e-8,0.002945435,0.0001987847,0.0003132662,0.00001871611,0.000007253796,0.0006817901],"genre_scores_gemma":[0.9989483,0.0001461811,0.00004350081,0.000233154,0.0001371087,0.000003260971,0.00000789708,0.000001174879,0.0004794726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4872968,"threshold_uncertainty_score":0.3418012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013581386910003,"score_gpt":0.2053936588559128,"score_spread":0.1952578449868127,"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."}}