{"id":"W2324795887","doi":"10.1128/jb.00952-15","title":"Structural Basis of the Enhanced Pollutant-Degrading Capabilities of an Engineered Biphenyl Dioxygenase","year":2016,"lang":"en","type":"article","venue":"Journal of Bacteriology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; University of British Columbia","funders":"Argonne National Laboratory; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Office of Science; Government of Canada; National Institutes of Health; Defence Research and Development Organisation; U.S. Department of Energy","keywords":"Biphenyl; Dioxygenase; Enzyme; Polychlorinated biphenyl; Biology; Stereochemistry; Active site; Substrate specificity; Hydrolase; Biochemistry; Catabolism; Chemistry; Organic chemistry","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":[0.00005889573,0.000274467,0.0001550022,0.00006022565,0.00009461866,0.0002092571,0.0002683032,0.0002233816,0.0006303176],"category_scores_gemma":[0.00009210335,0.00007114541,0.0001562679,0.0001274241,0.0002003278,0.00009693702,0.0001498466,0.0004000508,0.0002743058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003234828,"about_ca_system_score_gemma":0.0001240503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006964089,"about_ca_topic_score_gemma":0.0005822873,"domain_scores_codex":[0.999918,0.000009234309,0.00000547049,0.00001709033,0.00003522395,0.00001491044],"domain_scores_gemma":[0.999917,0.000011619,0.00002905598,0.000007864932,0.00001352493,0.00002098027],"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":[0.00007543873,0.0000185256,0.0002752532,0.00001784783,0.00000292724,0.00004061275,0.00000623166,0.0001816783,0.9987713,0.00004887698,0.00001007932,0.0005511344],"study_design_scores_gemma":[0.00001784522,0.0002063356,0.008943588,0.000002939301,0.00001219544,0.0002318774,0.00002612794,0.00188584,0.9873542,0.00005552394,0.001257352,0.000005952525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976106,0.0001937051,0.001633977,0.00004907435,0.000006724093,0.00000612412,0.0001616424,0.00003150012,0.0003065287],"genre_scores_gemma":[0.9977061,0.00007741797,0.001425042,0.00001577917,0.00000245587,0.000004112643,0.0004591563,0.000008905482,0.0003010682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006964089,"threshold_uncertainty_score":0.002347112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008072418143690925,"score_gpt":0.205302771277711,"score_spread":0.1972303531340201,"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."}}