{"id":"W7124821078","doi":"","title":"Are methane sniffer phenotypes useful for genetic ranking of dairy cattle?","year":2025,"lang":"en","type":"other","venue":"Socio-Environmental Systems Modeling","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Ranking (information retrieval); Phenotype; Selection (genetic algorithm); Gene","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":[0.00112157,0.0005471215,0.0003985554,0.0007126681,0.0002540323,0.0009626957,0.0007722857,0.0004039965,0.01310973],"category_scores_gemma":[0.005128488,0.0001436233,0.000426976,0.0008065065,0.0002583796,0.0005709939,0.0004286933,0.0004737356,0.001052594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004804577,"about_ca_system_score_gemma":0.0004999058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0329573,"about_ca_topic_score_gemma":0.05572971,"domain_scores_codex":[0.9996799,0.0002109889,0.000007419257,0.00004581015,0.00002674836,0.00002923978],"domain_scores_gemma":[0.9989436,0.000712286,0.00009520256,0.00007651346,0.0001031011,0.00006930753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008908253,0.000315325,0.2719953,0.0002432832,0.0005913719,0.0002412337,0.000287957,0.3301036,0.003180089,0.0765418,0.02723021,0.288379],"study_design_scores_gemma":[0.00007813648,0.00008898626,0.06014032,0.0000839222,0.0001339568,0.00006897619,0.0004273361,0.8533815,0.001501522,0.07193395,0.012106,0.00005543787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.602887,0.0009209498,0.29804,0.005207187,0.0002692473,0.00006782073,0.02375314,0.001434848,0.06741978],"genre_scores_gemma":[0.9477493,0.0002285809,0.03807614,0.0002065736,0.00004583234,0.00003908846,0.003411351,0.0002439905,0.009999082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0329573,"threshold_uncertainty_score":0.06553096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655204909949658,"score_gpt":0.2491399231724525,"score_spread":0.2225878740729559,"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."}}