{"id":"W6929459458","doi":"10.48620/87633","title":"Breeding for sustainability: Development of an index to reduce greenhouse gas in dairy cattle.","year":2025,"lang":"en","type":"article","venue":"Open MIND","topic":"Parasitic Diseases Research and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Methane; Index (typography); Selection (genetic algorithm); Methane emissions; Trait; Dairy cattle; Forage","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002065812,0.00040415,0.0002642799,0.001346966,0.0002357684,0.0009335619,0.0004032197,0.0003148135,0.001245786],"category_scores_gemma":[0.0008731771,0.0001116527,0.0002598461,0.00137747,0.0002837419,0.000377554,0.0005086566,0.0002955238,0.000374702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137846,"about_ca_system_score_gemma":0.0009520027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003164822,"about_ca_topic_score_gemma":0.004344556,"domain_scores_codex":[0.9993781,0.0001340812,0.00002640834,0.00009133738,0.0003242994,0.00004568744],"domain_scores_gemma":[0.9996015,0.00006514382,0.0001011045,0.00002227389,0.0001560684,0.00005392147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002286386,0.0002287813,0.04187921,0.0004810781,0.0001179405,0.00009190228,0.0002818621,0.00877161,0.152212,0.009178859,0.004379542,0.7821486],"study_design_scores_gemma":[0.0001082941,0.002888631,0.3054408,0.0005014221,0.0005130906,0.001221481,0.001007658,0.05665811,0.2516428,0.02176748,0.3580756,0.0001747288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4220482,0.01731974,0.4630477,0.002369373,0.0003184039,0.0007737941,0.004014649,0.001937208,0.08817091],"genre_scores_gemma":[0.5058402,0.006131497,0.4688207,0.0005070333,0.00007833588,0.0003090804,0.004545938,0.0001848748,0.01358245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003164822,"threshold_uncertainty_score":0.01092517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05363677778879197,"score_gpt":0.4225644099810311,"score_spread":0.3689276321922391,"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."}}