{"id":"W4298468888","doi":"","title":"Novel genomic and phenotypic strategies to improve mastitis resistance and milk quality","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Dairy Commission; University of Calgary; University of Guelph","funders":"","keywords":"Mastitis; Phenotype; Resistance (ecology); Quality (philosophy); Biotechnology; Computer science; Biology; Genetics; Microbiology; 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":[0.0006027783,0.0007393587,0.0007719388,0.0004859714,0.000235046,0.001201718,0.0006535617,0.001269572,0.008663434],"category_scores_gemma":[0.0008166283,0.0001974655,0.0005074663,0.0004493024,0.0004136947,0.0006743759,0.000811799,0.001506499,0.001242863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005014364,"about_ca_system_score_gemma":0.0003500454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003829552,"about_ca_topic_score_gemma":0.0005924496,"domain_scores_codex":[0.9996554,0.00006032117,0.00002095167,0.0001128034,0.00007749943,0.00007304209],"domain_scores_gemma":[0.9997216,0.00007718481,0.00008177093,0.00003022776,0.00003885158,0.00005036253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001524271,0.0002288939,0.0006804286,0.0001212858,0.00001859314,0.00007461136,0.0000419998,0.0005661063,0.9741501,0.001175856,0.0003174061,0.02247232],"study_design_scores_gemma":[0.000406099,0.004137651,0.05854079,0.000185701,0.0005320551,0.001377259,0.001297509,0.01599289,0.8473502,0.009512251,0.06053767,0.0001300326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9087892,0.006803622,0.05690609,0.006408537,0.0005219341,0.0002952721,0.002481853,0.0009953791,0.01679806],"genre_scores_gemma":[0.9603239,0.003714459,0.02116444,0.001624977,0.0002192512,0.0001440453,0.001851266,0.0002585319,0.01069916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008663434,"threshold_uncertainty_score":0.0289821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307025072370597,"score_gpt":0.2529873822008283,"score_spread":0.2222848749637686,"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."}}