{"id":"W2109152044","doi":"10.3168/jds.s0022-0302(06)72298-6","title":"Validation of Feed and Manure Data Collected on Wisconsin Dairy Farms","year":2006,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Arthritis Patient Alliance","funders":"Cooperative State Research, Education, and Extension Service; U.S. Department of Agriculture","keywords":"Manure; Manure management; Environmental science; Dairy cattle; Agricultural science; Fertilizer; Nutrient; Animal science; Agronomy; Biology; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007680885,0.00008219539,0.0001366998,0.0001204226,0.0001376627,0.00005391667,0.0006221945,0.00003067614,0.00002190155],"category_scores_gemma":[0.00008362917,0.00006078676,0.0000214059,0.0006338286,0.0006450842,0.0008294295,0.0002391585,0.0001098378,0.000007209462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007611862,"about_ca_system_score_gemma":0.00005014275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008861452,"about_ca_topic_score_gemma":0.000009115318,"domain_scores_codex":[0.9985998,0.00003148466,0.0003302886,0.0002112525,0.0006593592,0.0001678547],"domain_scores_gemma":[0.9992322,0.00004799849,0.0003174398,0.00029099,0.00003315398,0.00007820488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001363618,0.0003050069,0.9333749,0.00001152452,0.000008199732,0.00002702193,0.0004189631,0.004115089,0.04942459,0.0001360365,0.007742352,0.004299941],"study_design_scores_gemma":[0.001162702,0.0004622542,0.9538411,0.00007887889,0.00003136094,0.0001621062,0.0001827947,0.009343501,0.02695561,0.006146459,0.001436153,0.0001970563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972521,0.00002240946,0.0002379203,0.0003504569,0.0002038323,0.00006143498,0.00001482868,0.000005179367,0.001851828],"genre_scores_gemma":[0.9978254,0.00001217382,0.001890037,0.00005469499,0.00003812883,2.022598e-7,0.000005157598,0.000003801679,0.0001703548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02246898,"threshold_uncertainty_score":0.2478812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600260189288168,"score_gpt":0.238266955906533,"score_spread":0.2222643540136513,"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."}}