{"id":"W2068116397","doi":"10.1155/2012/493797","title":"Metabolic Activity Interferometer: A Powerful Tool for Testing Antibiotics","year":2012,"lang":"en","type":"article","venue":"Journal of Sensors","topic":"Veterinary medicine and infectious diseases","field":"Veterinary","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Universidade Federal do Rio de Janeiro; Universidade Federal de Juiz de Fora; Fundação de Amparo à Pesquisa do Estado de Minas Gerais","keywords":"Antibiotics; Rifampicin; Interferometry; Bacteria; Microbiology; Mycobacterium bovis; Chemistry; Chromatography; Biology; Mycobacterium tuberculosis; Tuberculosis; Medicine; Optics; Physics; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005712977,0.0001692426,0.0004041613,0.0002177358,0.00007060062,0.00002811868,0.0001225883,0.00006470057,0.00009736761],"category_scores_gemma":[0.001093854,0.0001319462,0.0002401122,0.0001796339,0.00004492512,0.000601482,0.00004276568,0.0002132205,0.0000294375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005612022,"about_ca_system_score_gemma":0.00005141854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007272904,"about_ca_topic_score_gemma":1.173007e-7,"domain_scores_codex":[0.9988332,0.00008427141,0.0004176566,0.00009746486,0.0002088245,0.0003585851],"domain_scores_gemma":[0.9985861,0.0003877701,0.000428478,0.0001626041,0.0002477026,0.0001873843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003538977,0.001595043,0.1414377,0.0003904211,0.0008148146,0.0004590785,0.001513708,0.00005277016,0.815808,0.00008444937,0.007921716,0.02638333],"study_design_scores_gemma":[0.007347598,0.03771249,0.7100654,0.00107003,0.002037524,0.05030439,0.001649152,0.001450785,0.08125962,0.0002275276,0.1052934,0.00158218],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967026,0.0004159161,0.000710192,0.0000877724,0.001104353,0.0001501749,0.0000141289,0.00002910191,0.0007857656],"genre_scores_gemma":[0.9958532,0.00003620588,0.002479349,0.0001360701,0.001364327,3.653677e-7,6.965207e-7,0.00003087406,0.00009885688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7345483,"threshold_uncertainty_score":0.5380608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09856887799750262,"score_gpt":0.3552799106783497,"score_spread":0.2567110326808471,"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."}}