{"id":"W4299815193","doi":"","title":"Breeding strategies for mitigating enteric methane emissions of dairy cattle using ZPLAN+","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Dairy Commission; University of Guelph","funders":"","keywords":"Methane emissions; Methane; Dairy cattle; Environmental science; Biology; Animal science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007194232,0.0005060729,0.0006423279,0.0004984855,0.000299955,0.000794632,0.001321275,0.0003890969,0.006088769],"category_scores_gemma":[0.0004817951,0.000182783,0.0003686571,0.000586696,0.0002367038,0.0003635686,0.0008218662,0.0006326564,0.0009661507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004464919,"about_ca_system_score_gemma":0.0005835677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001616318,"about_ca_topic_score_gemma":0.003523,"domain_scores_codex":[0.9997267,0.00005551584,0.00001197102,0.00007986463,0.00005299486,0.00007294853],"domain_scores_gemma":[0.9997858,0.0000535476,0.00004460377,0.00002014889,0.00004642727,0.00004940762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008147823,0.0002714777,0.004426075,0.0002984763,0.00009524694,0.0001920437,0.0001085441,0.005310591,0.9265521,0.001712235,0.0004122565,0.0598062],"study_design_scores_gemma":[0.0004717808,0.006339977,0.03921148,0.0002025999,0.001055781,0.0008441138,0.00108466,0.06019773,0.8368859,0.004056852,0.04957009,0.00007896281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255685,0.0008417247,0.06506085,0.0004464987,0.00005805264,0.0001757861,0.001050186,0.0005853449,0.006213036],"genre_scores_gemma":[0.8717315,0.001340635,0.1105573,0.0003501604,0.00002430152,0.000276552,0.002536114,0.0002416841,0.01294177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006088769,"threshold_uncertainty_score":0.02036893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02572743317510573,"score_gpt":0.2672141565955649,"score_spread":0.2414867234204592,"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."}}