{"id":"W3142086113","doi":"10.1016/j.scitotenv.2021.146872","title":"Faecal microbiota and antibiotic resistance genes in migratory waterbirds with contrasting habitat use","year":2021,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Ministerio de Ciencia, Innovación y Universidades; Centres de Recerca de Catalunya; Canadian Institute for Advanced Research","keywords":"Biology; Resistome; Charadriiformes; Larus; Ecology; Integron; Zoology; Microbiome; Feces; Abundance (ecology); Antibiotic resistance; Microbiology; Antibiotics; Fishery; Genetics; Herring","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":[0.0001901383,0.0002545129,0.0002589821,0.0005951279,0.0002360539,0.0004800999,0.0001082667,0.0003273776,0.0007142244],"category_scores_gemma":[0.0004525011,0.0001658948,0.0001995597,0.0003235626,0.0003705715,0.0002531062,0.0002809806,0.000194384,0.0001455443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002526327,"about_ca_system_score_gemma":0.0001037739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005837356,"about_ca_topic_score_gemma":0.01331158,"domain_scores_codex":[0.9998084,0.00004468307,0.00001234075,0.00006312558,0.00001810452,0.00005334172],"domain_scores_gemma":[0.9996879,0.00003344264,0.0001486774,0.0000155822,0.00003601952,0.00007833106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002820945,0.00005135177,0.9851633,0.00003124338,0.00007758413,0.00008194947,0.0003988568,0.00004005628,0.0102475,0.000007984971,0.00004985018,0.003568286],"study_design_scores_gemma":[0.000001100175,0.00004803181,0.9994856,0.000002479735,0.000006290094,0.000052867,0.0002685043,0.00001944796,0.00007115573,0.000003338889,0.00004014131,9.862887e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997467,0.0001073672,0.00002790101,0.000005301152,0.00000127103,0.000001473595,0.0000561838,9.123871e-7,0.00005278412],"genre_scores_gemma":[0.9994923,0.00008550854,0.0001362429,0.00002067947,0.000003243129,0.000005357347,0.0001447409,0.000001587348,0.0001103117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005837356,"threshold_uncertainty_score":0.01160675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006325641715182209,"score_gpt":0.1907361131483776,"score_spread":0.1844104714331954,"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."}}