{"id":"W4390032050","doi":"10.3168/jds.2023-24160","title":"Quantifying and mapping digital dermatitis–associated bacteria in lesion and nonlesion body sites and dairy farm environment","year":2023,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Treponema; Udder; Saliva; Feces; Fusobacterium necrophorum; Fusobacterium; Microbiology; Biology; Urine; Veterinary medicine; Bacteria; Medicine; Immunology; Bacteroides; Mastitis","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":[0.000373615,0.0003070731,0.0003022556,0.00104785,0.0001898245,0.0007672295,0.0001666871,0.0003645833,0.0004566605],"category_scores_gemma":[0.0004878445,0.0002125993,0.0001878273,0.0006844818,0.0001701008,0.0003298523,0.0003474566,0.0001580439,0.0001260624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000162285,"about_ca_system_score_gemma":0.0001410436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002704995,"about_ca_topic_score_gemma":0.004547918,"domain_scores_codex":[0.999558,0.0000751813,0.00003560385,0.0001500019,0.00009405176,0.00008707704],"domain_scores_gemma":[0.999633,0.00008590885,0.0001762115,0.000016172,0.00005035182,0.00003832406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001230303,0.00007402492,0.954627,0.00008142152,0.00003990585,0.000137278,0.0001846474,0.0001180985,0.03587521,0.00001301757,0.00003036775,0.008695918],"study_design_scores_gemma":[0.000001854255,0.0001549621,0.996036,0.00001430916,0.00003110792,0.0003168128,0.0004415477,0.0003397324,0.002473356,0.00001252821,0.0001747909,0.000003058625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990682,0.0002387187,0.0003153278,0.000004059703,0.000001097294,0.0000097478,0.000173393,0.000003965611,0.0001853906],"genre_scores_gemma":[0.9981326,0.0002164474,0.001166844,0.00001350353,0.000002056472,0.0000107409,0.0002922915,0.000001253968,0.000164295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002704995,"threshold_uncertainty_score":0.005378485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09238366366281321,"score_gpt":0.3279705498191426,"score_spread":0.2355868861563294,"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."}}