{"id":"W3135896176","doi":"10.3390/ani11030727","title":"Total and Differential Cell Counts as a Tool to Identify Intramammary Infections in Cows after Calving","year":2021,"lang":"en","type":"article","venue":"Animals","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero delle Politiche Agricole Alimentari e Forestali","keywords":"Herd; Ice calving; Mastitis; Medicine; Lactation; Somatic cell count; Animal science; Quarter (Canadian coin); Veterinary medicine; Biology; Pregnancy; Pathology","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":[0.001358109,0.0002759616,0.0003588447,0.00176837,0.0001775036,0.0006690271,0.0002814195,0.0003588558,0.0003942808],"category_scores_gemma":[0.002412172,0.0001530407,0.0002201741,0.001119653,0.0001862162,0.0002070622,0.0003636412,0.0002724059,0.0001343321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003024859,"about_ca_system_score_gemma":0.0001905632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001932017,"about_ca_topic_score_gemma":0.00252058,"domain_scores_codex":[0.99903,0.0003247372,0.0000927688,0.0001534259,0.0003078843,0.00009126621],"domain_scores_gemma":[0.9986653,0.0004386034,0.0004888516,0.00006914722,0.0002165237,0.0001215259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002632079,0.00001916976,0.9882202,0.00002575439,0.00003417879,0.00006180751,0.00008459823,0.0001170041,0.001900668,0.00001545482,0.00005758302,0.009200381],"study_design_scores_gemma":[0.000003182844,0.0003658665,0.9964467,0.00001386167,0.00003959382,0.0003424784,0.0001600151,0.001049043,0.001213897,0.00003477507,0.0003258553,0.000004855549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966723,0.001581471,0.0008272451,0.00002337926,0.000009410074,0.0000152312,0.0004038089,0.00001346957,0.0004537962],"genre_scores_gemma":[0.9971516,0.0004144919,0.001709584,0.00002042737,0.00001112199,0.00001241808,0.0004402958,0.000002524522,0.00023766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001932017,"threshold_uncertainty_score":0.007182419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369490045979097,"score_gpt":0.2592887622651927,"score_spread":0.2455938618054017,"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."}}