{"id":"W1980038079","doi":"10.2134/jeq2009.0240","title":"Coarse Particulate Matter Emissions from Cattle Feedlots in Australia","year":2010,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"Meat and Livestock Australia","keywords":"Particulates; Environmental science; Environmental chemistry; Ecology; Chemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001229845,0.0001671109,0.0003106096,0.00003698426,0.00009482493,0.00002417246,0.000269337,0.0001554752,0.03755971],"category_scores_gemma":[0.00007838355,0.000140339,0.0001155305,0.00008270043,0.0002938765,0.0004207586,0.000130771,0.000745473,0.001994739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002414632,"about_ca_system_score_gemma":0.00001565004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001609841,"about_ca_topic_score_gemma":0.0005828431,"domain_scores_codex":[0.9977262,0.0002361913,0.0009282331,0.0002113855,0.000519813,0.0003781535],"domain_scores_gemma":[0.9985967,0.0001410809,0.0004817261,0.0002944383,0.000002189139,0.0004838618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008221847,0.0005288478,0.9125689,0.000006509984,0.00001065985,0.00002315749,0.001128876,0.0002409405,0.07732891,0.00001251791,0.006556543,0.001511888],"study_design_scores_gemma":[0.0006456107,0.00006017488,0.9865901,0.00001803888,0.00001403428,0.00002470457,0.0002258671,0.00003521917,0.003050995,0.001278393,0.00788805,0.0001687442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964645,0.00001562922,0.00004014863,0.002539351,0.0003580365,0.0001084123,0.00005399978,0.000004719657,0.0004152064],"genre_scores_gemma":[0.994638,0.00001452078,0.002982432,0.001687171,0.00008934959,0.000001940487,0.000005880021,0.00001264988,0.0005680443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07427792,"threshold_uncertainty_score":0.9987823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05623679326727091,"score_gpt":0.3524342188418984,"score_spread":0.2961974255746275,"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."}}