{"id":"W4319300295","doi":"10.1002/jeq2.20457","title":"Distribution of livestock sectors in Canada: Implications for manureshed management","year":2023,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture; Agriculture and Agri-Food Canada","funders":"","keywords":"Livestock; Manure; Agriculture; Distribution (mathematics); Nutrient; Manure management; Geography; Nutrient management; Environmental science; Metropolitan area; Agricultural economics; Environmental protection; Ecology; Biology; Forestry","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":[0.0004153746,0.00008084108,0.0001630997,0.00003293709,0.00003943155,0.000003590126,0.0001771084,0.0000259365,0.0000433516],"category_scores_gemma":[0.00001229366,0.00007283368,0.00007498705,0.0001550462,0.00006190989,0.00009488087,0.0000908826,0.00006905478,0.000007023782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158782,"about_ca_system_score_gemma":0.00001768898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02957406,"about_ca_topic_score_gemma":0.01780819,"domain_scores_codex":[0.9988998,0.00004787866,0.0005126843,0.0001189604,0.000247707,0.0001729673],"domain_scores_gemma":[0.9994416,0.00006815013,0.0002835296,0.00013584,0.000002209871,0.00006866426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004478348,0.0001093661,0.9927198,0.00001779361,0.00001558841,0.0000029719,0.00006693403,0.002387702,0.00061218,0.0001337809,0.001346355,0.002542697],"study_design_scores_gemma":[0.000484137,0.00005293105,0.9937082,0.00001014554,0.00001361882,0.000003187454,0.0003197606,0.0001400848,0.0002258329,0.003528785,0.001437191,0.00007611031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998628,0.00001267255,0.0003796171,0.0003575213,0.0001008129,0.0001848726,0.0002331792,0.000003124374,0.000100161],"genre_scores_gemma":[0.9995497,0.00006935097,0.0001919071,0.00003955335,0.00001369166,0.000010239,0.00005961816,0.000006173897,0.00005970583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01176586,"threshold_uncertainty_score":0.993739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187055005144852,"score_gpt":0.2554046827401399,"score_spread":0.2366991822256548,"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."}}