{"id":"W2834966293","doi":"10.1139/cjm-2017-0535","title":"Arsenic-hypertolerant and arsenic-reducing bacteria isolated from wells in Tucumán, Argentina","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Ciencia y Tecnología; National Institutes of Health; Ministerio de Ciencia, Tecnología e Innovación Productiva; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Arsenic; Bacteria; Microbiology; Biology; Chemistry; Environmental chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002155199,0.0008352554,0.0005427781,0.001034,0.0005188141,0.0005616043,0.0003404341,0.000508581,0.0005542081],"category_scores_gemma":[0.0003735009,0.0002795399,0.0002201506,0.001223756,0.0002693897,0.0002691859,0.000443222,0.0002427838,0.0002305546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005484923,"about_ca_system_score_gemma":0.0005102723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03518738,"about_ca_topic_score_gemma":0.03508146,"domain_scores_codex":[0.9995174,0.00004159374,0.00004395421,0.0001452699,0.0001256946,0.0001259697],"domain_scores_gemma":[0.9998069,0.00002098079,0.00004676241,0.000007441906,0.00007749713,0.00004050494],"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":[0.0006848028,0.0003964657,0.1638879,0.0003008439,0.00006070978,0.001143912,0.002036301,0.0003640861,0.8148108,0.00009787672,0.0003561094,0.01586018],"study_design_scores_gemma":[0.00006049066,0.001136119,0.9529762,0.0000639594,0.00009714085,0.001631437,0.003836657,0.0009243906,0.03621792,0.00005917174,0.002967608,0.00002900022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978781,0.0003075117,0.0002438852,0.00002805987,0.00001023132,0.00007143586,0.0007816904,0.000008672504,0.000670506],"genre_scores_gemma":[0.9950323,0.000569895,0.00117576,0.00003036819,0.00001268768,0.00005956734,0.001728537,0.000005648864,0.001385252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03518738,"threshold_uncertainty_score":0.06996518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0067508535955811,"score_gpt":0.1902089792962919,"score_spread":0.1834581257007108,"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."}}