{"id":"W7099933210","doi":"","title":"Intensive livestock operations, disembedding, and community polarization","year":2015,"lang":"en","type":"article","venue":"","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livestock; Intensive farming; Agriculture; Local government; Government (linguistics); Quality (philosophy); Polarization (electrochemistry); Process (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001845064,0.00007359871,0.00006424981,0.00001044949,0.0001960763,0.00003547441,0.00007522044,0.00008931594,0.000004468856],"category_scores_gemma":[0.0003007433,0.00006795351,0.00002317389,0.00002867456,0.00008755083,0.000003715453,0.0001176728,0.00009877691,0.000004973519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007443256,"about_ca_system_score_gemma":0.00004690807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001273867,"about_ca_topic_score_gemma":0.0001863652,"domain_scores_codex":[0.9995285,0.00011902,0.00008906463,0.0001183247,0.00005501112,0.00009013245],"domain_scores_gemma":[0.9993924,0.000006455905,0.00001647895,0.0002212937,0.0002656111,0.00009779837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001022879,0.0003762906,0.1439174,0.00004189117,0.0002132129,0.000001633976,0.0180829,0.00124436,0.7627215,0.002686721,0.06778943,0.002822293],"study_design_scores_gemma":[0.007343301,0.005908365,0.1607898,0.00007230062,0.0002294213,0.0001467136,0.1847707,0.01885547,0.4681251,0.002968427,0.1481505,0.002639802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896023,0.0004672436,0.007565715,0.000232043,0.00007752649,0.00009931649,0.000006016844,0.00001128014,0.001938511],"genre_scores_gemma":[0.9928316,0.0001355746,0.002633054,0.0009712983,0.0000884246,0.000005011221,0.0001557134,0.00000938207,0.003169946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2945965,"threshold_uncertainty_score":0.2771064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180874683216029,"score_gpt":0.27771441819203,"score_spread":0.2559056713598697,"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."}}