{"id":"W2945331960","doi":"10.3389/fmicb.2019.01038","title":"A Novel Mathematical Model for Studying Antimicrobial Interactions Against Campylobacter jejuni","year":2019,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; King Saud University","keywords":"Campylobacter jejuni; Antimicrobial; Campylobacter; Biology; Microbiology; Computational biology; Bacteria; Genetics","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":[0.001183337,0.00157072,0.001104498,0.0008132968,0.0004615161,0.001214235,0.00153305,0.002631541,0.002211507],"category_scores_gemma":[0.003688913,0.0005673427,0.001721538,0.0005924468,0.0005872963,0.001405522,0.001019278,0.001859799,0.0005651687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226439,"about_ca_system_score_gemma":0.001538347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009120792,"about_ca_topic_score_gemma":0.003881855,"domain_scores_codex":[0.9994192,0.0001965453,0.00003559619,0.0001311578,0.0001399582,0.00007746545],"domain_scores_gemma":[0.998799,0.0007635384,0.0001534611,0.00003396343,0.0002226717,0.00002740346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003584602,0.0000549558,0.0005522823,0.0002399256,0.00004813307,0.0001551976,0.0000730091,0.9694151,0.006389837,0.01629873,0.0007254509,0.006011436],"study_design_scores_gemma":[0.000004803731,0.00001765598,0.00004836292,0.000005777289,0.000007917657,0.0000180492,0.00000760491,0.9972296,0.0003858793,0.001382529,0.0008865597,0.000005303622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02696367,0.002356159,0.9556683,0.001154126,0.0002280648,0.0001855222,0.000392097,0.0003222356,0.0127298],"genre_scores_gemma":[0.7618029,0.004795488,0.1952297,0.0007626718,0.0003117782,0.001814191,0.0007422638,0.0002325199,0.03430855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009120792,"threshold_uncertainty_score":0.01813543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03033944184937957,"score_gpt":0.245457404102017,"score_spread":0.2151179622526374,"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."}}