{"id":"W3096945884","doi":"10.3390/ani10112005","title":"Associations between Mammary Gland Echotexture and Milk Composition in Cows","year":2020,"lang":"en","type":"article","venue":"Animals","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Narodowe Centrum Badań i Rozwoju; Canada Foundation for Innovation","keywords":"Udder; Milking; Morning; Mammary gland; Lactose; Animal science; Echogenicity; Evening; Lactation; Medicine; Biology; Internal medicine; Mastitis; Food science; Ultrasound; Pathology; Pregnancy; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002953148,0.0001283749,0.0001752058,0.0004772427,0.0001468296,0.000234856,0.0001186792,0.0003045387,0.0005973254],"category_scores_gemma":[0.0009618784,0.0001713302,0.00009216942,0.0002128853,0.0002213315,0.0001403243,0.0001598912,0.0001534795,0.00009355238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182103,"about_ca_system_score_gemma":0.00009198986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665581,"about_ca_topic_score_gemma":0.002782527,"domain_scores_codex":[0.9998826,0.00002763739,0.00001098083,0.00002728984,0.0000231994,0.00002827273],"domain_scores_gemma":[0.9993795,0.0001826636,0.000253739,0.00003338269,0.00004395447,0.0001066807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001208213,0.00008673735,0.9777511,0.00001349521,0.00003659719,0.0002392824,0.0001864452,0.0000818413,0.01702829,0.00001196102,0.00002307166,0.003332891],"study_design_scores_gemma":[0.000003642219,0.0001997386,0.9991272,6.759e-7,0.000008136252,0.0001768911,0.00004957986,0.0001072179,0.0002923682,0.000006236045,0.00002672939,0.000001565706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998833,0.00005283173,0.00002461188,0.000002575659,3.002843e-7,6.011603e-7,0.00001434728,8.242881e-7,0.00002048424],"genre_scores_gemma":[0.9998098,0.00002781887,0.0000560945,0.000004816343,0.000001444712,0.00000154202,0.00003596415,5.746227e-7,0.00006203135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001665581,"threshold_uncertainty_score":0.003311813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04537871039892102,"score_gpt":0.2519971879687954,"score_spread":0.2066184775698744,"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."}}