{"id":"W7018189435","doi":"","title":"Custom-designed Nano-enabled Antibacterial Combination Therapy to combat Persistent Bacterial Pathogens associated with Bovine Mastitis","year":2024,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Combination therapy; Mastitis; Antibiotics; Antibiotic therapy; Pharmacotherapy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000127322,0.0002429503,0.0003060997,0.0001723686,0.0001219663,0.0004422864,0.0002229357,0.000301164,0.001555426],"category_scores_gemma":[0.0001100493,0.000170575,0.0002786386,0.0001044133,0.0001139725,0.0001582894,0.0001878938,0.000366842,0.0005673841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003003196,"about_ca_system_score_gemma":0.0001834364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003271904,"about_ca_topic_score_gemma":0.001002767,"domain_scores_codex":[0.9998896,0.000009288153,0.000004262211,0.00002908673,0.0000466793,0.00002099861],"domain_scores_gemma":[0.9999487,0.00001208802,0.00001035157,0.000003508906,0.00001285521,0.00001236343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001046231,0.0000680973,0.00009201789,0.00006396802,0.000008841695,0.00002568235,0.00001579557,0.0004174785,0.9886827,0.00008857406,0.0003113018,0.01012082],"study_design_scores_gemma":[0.00005123288,0.001013691,0.001274033,0.00001328916,0.000067445,0.0001415904,0.00003210937,0.005034358,0.9791299,0.00004630421,0.01317899,0.00001708115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528816,0.009087014,0.02284818,0.0003531601,0.0004879318,0.000244944,0.0003433906,0.0004233972,0.01333053],"genre_scores_gemma":[0.9540412,0.003576622,0.02595125,0.0003986929,0.00007139143,0.0002629982,0.0002764377,0.0000652992,0.01535617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9996728,"threshold_uncertainty_score":0.005203366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053119199455492,"score_gpt":0.2211265480800834,"score_spread":0.2005953560855285,"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."}}