{"id":"W2166801599","doi":"10.1126/science.1120800","title":"Sampling the Antibiotic Resistome","year":2006,"lang":"en","type":"article","venue":"Science","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1599,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Resistome; Antibiotics; Antibiotic resistance; Biology; Bacteria; Drug resistance; Resistance (ecology); Sampling (signal processing); Microbiology; Ecology; Genetics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008442839,0.0004280207,0.0005892487,0.002016815,0.0005299248,0.001015198,0.0005399858,0.0007782525,0.003821538],"category_scores_gemma":[0.004781955,0.0002377223,0.0003597682,0.00149762,0.0004044235,0.0006525369,0.0009774906,0.0006274736,0.002657263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000268586,"about_ca_system_score_gemma":0.0003143564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001536391,"about_ca_topic_score_gemma":0.001922893,"domain_scores_codex":[0.9989324,0.0002568076,0.00004738102,0.0003539317,0.0002572571,0.0001522254],"domain_scores_gemma":[0.9980995,0.0004916304,0.0003208073,0.000339828,0.0004745079,0.0002738042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008219056,0.0004708511,0.6305332,0.0003895097,0.0002988113,0.000465601,0.001095086,0.001726122,0.1555013,0.003128204,0.01176393,0.1938055],"study_design_scores_gemma":[0.00007988639,0.0009078851,0.8511279,0.0001223336,0.0003015464,0.003056816,0.00172084,0.01118521,0.0370796,0.009057751,0.08526407,0.00009616015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630212,0.00211296,0.01746581,0.0007063673,0.00008212055,0.0002283946,0.008415362,0.0002819576,0.007685837],"genre_scores_gemma":[0.9537979,0.00188458,0.02051174,0.001826108,0.0001999899,0.0003844333,0.01686183,0.0001620261,0.004371333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003821538,"threshold_uncertainty_score":0.01278436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142395715842064,"score_gpt":0.2690320348773646,"score_spread":0.257608077718944,"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."}}