{"id":"W3147788090","doi":"10.1128/aem.00388-21","title":"Campylobacter jejuni Antimicrobial Resistance Profiles and Mechanisms Determined Using a Raman Spectroscopy-Based Metabolomic Approach","year":2021,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Campylobacter jejuni; Ampicillin; Tetracycline; Microbiology; Metabolomics; Raman spectroscopy; Antibiotic resistance; Biology; Antibiotics; Campylobacter; Antimicrobial; Bacteria; Chemistry; Genetics; Bioinformatics","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":[0.000247124,0.0004774862,0.0002524593,0.0009933094,0.0002227925,0.0004081169,0.0002351006,0.000489025,0.0004964749],"category_scores_gemma":[0.0002661361,0.0001950371,0.000312435,0.000518795,0.0002280405,0.0002983766,0.0003000798,0.0003468801,0.0001931154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002431779,"about_ca_system_score_gemma":0.0003014846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001814944,"about_ca_topic_score_gemma":0.003150323,"domain_scores_codex":[0.9997596,0.00002968605,0.00001255109,0.0000772569,0.00007871397,0.00004228172],"domain_scores_gemma":[0.9998629,0.0000275647,0.00003577634,0.00001005513,0.00004929809,0.00001440628],"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":[0.00004800692,0.00004164299,0.001026785,0.00003622584,0.000007992168,0.00002265308,0.00002270103,0.000154226,0.9955798,0.00003469902,0.00002524646,0.003000082],"study_design_scores_gemma":[0.00001015089,0.0006522144,0.04417746,0.00002170122,0.00008676079,0.0003686217,0.0003360326,0.0118236,0.9403024,0.0002483893,0.00192275,0.00004984353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852732,0.0009742239,0.01048642,0.0002131905,0.0000191452,0.0001011484,0.001099861,0.0001114919,0.001721401],"genre_scores_gemma":[0.9621177,0.001216538,0.03269687,0.00015643,0.00001701167,0.0001242744,0.001287449,0.00002378691,0.002359936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001814944,"threshold_uncertainty_score":0.003608823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006056396402406177,"score_gpt":0.2261533392214319,"score_spread":0.2200969428190258,"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."}}