{"id":"W3165132000","doi":"10.21423/aabppro20025080","title":"Impact of Two Coliform Mastitis Vaccination Schedules on Milk Yield, Dry Matter Feed Intake and Intramammary Infections of Holstein Dairy Cattle","year":2002,"lang":"en","type":"article","venue":"American Association of Bovine Practitioners Conference Proceedings","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Dry matter; Mastitis; Milk production; Dairy cattle; Vaccination; Medicine; Animal science; Food science; Biotechnology; Veterinary medicine; Biology; Immunology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003145018,0.0001488529,0.000337085,0.00007945315,0.0001020352,0.00004015433,0.0001168531,0.00008258258,0.001563999],"category_scores_gemma":[0.0007088871,0.00009064937,0.0001002604,0.0004731477,0.0001362461,0.0004919558,0.00004843959,0.0001807499,0.00001322001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344083,"about_ca_system_score_gemma":0.00002373163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002533265,"about_ca_topic_score_gemma":0.000495403,"domain_scores_codex":[0.9987909,0.00004320193,0.0004460143,0.0002236282,0.0003147383,0.0001815268],"domain_scores_gemma":[0.9976143,0.0003992442,0.001288455,0.00004329756,0.0005837521,0.00007092684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001020808,0.0005320064,0.9155307,0.00006517242,0.0001200915,2.250764e-7,0.0007050253,0.00001288779,0.04412017,0.005914492,0.002819007,0.03007817],"study_design_scores_gemma":[0.000407063,0.001721639,0.9908814,0.0001126475,0.00004924936,0.000003045933,0.001229909,0.0003481683,0.004034466,0.0007422526,0.0002751636,0.0001950137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912191,0.00001579095,0.00004769551,0.002301681,0.00004652096,0.0002073699,0.0001717545,0.0000267606,0.00596332],"genre_scores_gemma":[0.9989243,0.0002674909,0.0003347742,0.0001207976,0.00005904721,0.00002263895,0.00005599923,0.000002243983,0.0002127175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07535071,"threshold_uncertainty_score":0.9993487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207853504785264,"score_gpt":0.2591248837873575,"score_spread":0.2383395333088311,"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."}}