{"id":"W4394086366","doi":"10.6084/m9.figshare.21628723","title":"Additional file 4 of A longitudinal census of the bacterial community in raw milk correlated with Staphylococcus aureus clinical mastitis infections in dairy cattle","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Fonds de Recherche du Québec - Santé","funders":"","keywords":"Mastitis; Staphylococcus aureus; Raw milk; Census; Veterinary medicine; Dairy cattle; Biology; Microbiology; Medicine; Food science; Animal science; Environmental health; Bacteria; Population","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":[0.001124572,0.001098964,0.001207611,0.002053089,0.0006959916,0.001649347,0.001837339,0.00144674,0.2570495],"category_scores_gemma":[0.01025196,0.0005552187,0.001204781,0.003887079,0.0002517209,0.0008773588,0.001233776,0.001054051,0.04629807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071364,"about_ca_system_score_gemma":0.001632498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03371074,"about_ca_topic_score_gemma":0.04953829,"domain_scores_codex":[0.9992899,0.0001030549,0.0001139954,0.0002623176,0.0001056514,0.0001250113],"domain_scores_gemma":[0.9951897,0.002408363,0.0007235522,0.0005051994,0.0008741959,0.0002990012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002565653,0.00006441957,0.01355141,0.001768113,0.0001701716,0.00005211768,0.00005944255,0.0006281721,0.0001465853,0.0004510653,0.9799188,0.002933037],"study_design_scores_gemma":[0.003623176,0.0002010712,0.1412365,0.002386958,0.0005316508,0.0003153718,0.0004953425,0.002097305,0.0007411144,0.003369527,0.84487,0.0001319734],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001299247,0.00001031923,0.00001786667,0.00001822462,0.000003852227,0.000005314173,0.9996985,0.0000260503,0.00008994329],"genre_scores_gemma":[0.002097609,0.00003551281,0.0002863336,0.00006670099,0.00001260106,0.0001651261,0.9964672,0.0000378257,0.0008310725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2570495,"threshold_uncertainty_score":0.8599162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06538907555880809,"score_gpt":0.2756037446445195,"score_spread":0.2102146690857114,"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."}}