{"id":"W2092550235","doi":"10.1002/cjce.20253","title":"Degradation of polycyclic aromatic hydrocarbons: Model simulation for bioavailability and biodegradation","year":2010,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Naphthalene; Anthracene; Pyrene; Bioavailability; Degradation (telecommunications); Chemistry; Sorption; Dispersion (optics); Retardation factor; Biodegradation; Residual; Toluene; Matrix (chemical analysis); Environmental chemistry; Chromatography; Organic chemistry; Adsorption; Mathematics; Algorithm; Physics","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":[0.0003337598,0.0005858185,0.0009580909,0.0003756527,0.0004365395,0.0007421761,0.0009280545,0.001636852,0.002456874],"category_scores_gemma":[0.0007365763,0.0003074636,0.0009238145,0.0004563357,0.0004065836,0.0004448519,0.000428961,0.0009005775,0.0003093574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240714,"about_ca_system_score_gemma":0.001240493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02592062,"about_ca_topic_score_gemma":0.008727445,"domain_scores_codex":[0.9999034,0.00002125442,0.000005759014,0.00002067723,0.00002515669,0.00002379413],"domain_scores_gemma":[0.9996152,0.0002391094,0.00003944622,0.00001496101,0.00007503303,0.00001614982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002613818,0.00003192146,0.000316188,0.0000385805,0.000008721951,0.0000285708,0.00001733203,0.9952526,0.002129438,0.001253221,0.00007373692,0.0008234259],"study_design_scores_gemma":[0.000005290658,0.00001196752,0.00006012085,0.000001457551,0.000002685243,0.000003265048,0.000004034677,0.9991807,0.0004557855,0.0001528229,0.0001196385,0.000002158818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7546484,0.0009004423,0.2238338,0.0006287734,0.0001204191,0.0002668432,0.001409104,0.0004696246,0.01772257],"genre_scores_gemma":[0.9676077,0.0005022584,0.0212228,0.00006007084,0.00001814685,0.000563024,0.0004901518,0.00004589112,0.009489973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02592062,"threshold_uncertainty_score":0.05153948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025152109649527,"score_gpt":0.2001415455861399,"score_spread":0.1898900244896446,"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."}}