{"id":"W2982564358","doi":"10.1007/978-981-13-7904-8_5","title":"Microbial Degradation of Polyaromatic Hydrocarbons","year":2019,"lang":"en","type":"book-chapter","venue":"Microorganisms for sustainability","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Biodegradation; Environmental chemistry; Microbial biodegradation; Chemistry; Degradation (telecommunications); Microorganism; Anaerobic bacteria; Gasoline; Environmental science; Bacteria; Organic chemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003866835,0.0004083083,0.0005506828,0.00007798209,0.00009051414,0.00002550062,0.0004178862,0.0003963297,0.003109143],"category_scores_gemma":[0.0001274746,0.0003986093,0.0003089395,0.00007024837,0.0003828092,0.00009703304,0.0002460734,0.0001972078,0.0003477268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121403,"about_ca_system_score_gemma":0.0002659869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001155977,"about_ca_topic_score_gemma":0.0001475171,"domain_scores_codex":[0.9979966,0.00002793003,0.0006969733,0.0006403304,0.0002640582,0.0003741502],"domain_scores_gemma":[0.9985636,0.00009169974,0.0005267828,0.0006433731,0.00007480382,0.00009972357],"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":[0.0001622467,0.0001963361,0.002029468,0.0008137081,0.00009415364,0.000003547898,0.0003671584,0.000009693297,0.9736816,0.006557128,0.01256367,0.003521285],"study_design_scores_gemma":[0.002772602,0.0008998612,0.002286623,0.0001634037,0.0005381273,0.00003136459,0.000273512,0.000089045,0.5918413,0.1054129,0.293299,0.002392177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6833298,0.0002846767,0.003804246,0.002616311,0.002102279,0.01563342,0.00247151,0.0003792236,0.2893785],"genre_scores_gemma":[0.4238986,0.00001912812,0.001985159,0.0002317904,0.00007005723,0.000008650729,0.0004936305,0.0001247073,0.5731683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3818403,"threshold_uncertainty_score":0.9998466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00686707474915904,"score_gpt":0.2076552590330714,"score_spread":0.2007881842839123,"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."}}