{"id":"W2771338591","doi":"10.24870/cjb.2017-a255","title":"Genome sequencing reveals the potential of an indigenous arsenotrophic bacterium; Achromobacter sp. KAs 3-5 for sub-surface arsenic mobilization and strategies for bioremediation","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Biotechnology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bioremediation; Indigenous; Achromobacter; Arsenic; Mobilization; Whole genome sequencing; Genome; Biology; Bacteria; Genetics; Pseudomonas; Gene; Geography; Ecology; Materials science; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003982818,0.0000890015,0.0001523719,0.00008692723,0.0004181972,0.00007412669,0.0002897331,0.0001877844,0.000023447],"category_scores_gemma":[0.0001187889,0.00007437617,0.00004919385,0.00005275982,0.0004239807,0.0004156484,0.00002127145,0.000106049,0.000001040725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002174955,"about_ca_system_score_gemma":0.0002911878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007697338,"about_ca_topic_score_gemma":0.01572202,"domain_scores_codex":[0.9992557,0.00003043704,0.0002961451,0.0001358691,0.00008004953,0.0002018663],"domain_scores_gemma":[0.9989883,0.00002369416,0.000584387,0.0002316818,0.00006529842,0.0001066788],"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":[0.00001604435,0.00000631048,0.001064634,0.00001329912,0.00001607614,0.000004421036,0.0008025861,0.0005815104,0.9855903,0.0003753393,0.000008568573,0.01152089],"study_design_scores_gemma":[0.00269516,0.002214235,0.6716146,0.00008286085,0.0002637706,0.0005482677,0.007075739,0.007876178,0.2836539,0.02040748,0.002980335,0.0005873662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902826,0.00006492337,0.007889649,0.001105406,0.0001712959,0.0004251784,0.00004261307,0.00000535499,0.00001300966],"genre_scores_gemma":[0.9984263,0.00004990723,0.001378778,0.00004511759,0.00005267853,0.000005319187,0.00001433287,0.00001052394,0.00001709695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7019364,"threshold_uncertainty_score":0.8773256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177999448047085,"score_gpt":0.2306904797192886,"score_spread":0.2189104852388177,"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."}}