{"id":"W255637494","doi":"10.1007/978-3-662-06066-7_2","title":"Microbial Community Dynamics During Bioremediation of Hydrocarbons","year":2004,"lang":"en","type":"book-chapter","venue":"Soil biology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Bioremediation; Microbial population biology; Biodegradation; Environmental science; Degradation (telecommunications); Microbial biodegradation; Population; Environmental chemistry; Biochemical engineering; Environmental engineering; Ecology; Chemistry; Biology; Contamination; Microorganism; Bacteria; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001744053,0.0001857361,0.0002465424,0.0003254852,0.0001951467,0.0005252017,0.0003115926,0.0003973038,0.0006248543],"category_scores_gemma":[0.0003513815,0.0002375442,0.0001662279,0.0004398712,0.0002725566,0.0006357366,0.0002722766,0.0003225604,0.0003094167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367039,"about_ca_system_score_gemma":0.0001882562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719798,"about_ca_topic_score_gemma":0.002205334,"domain_scores_codex":[0.9998909,0.00001372471,0.00000316558,0.00002243895,0.00004048061,0.00002917066],"domain_scores_gemma":[0.9998724,0.00004819506,0.00002047728,0.00000700469,0.00003112514,0.00002070291],"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":[0.000188994,0.00004116779,0.001920723,0.00005930989,0.000005762517,0.0001378737,0.0001911861,0.0003964416,0.9805463,0.0001805949,0.0001468385,0.01618483],"study_design_scores_gemma":[0.0000155374,0.0005513618,0.06325324,0.00004109271,0.00002505277,0.0005803212,0.0003754649,0.003019628,0.925539,0.0009382631,0.005633257,0.00002774083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988724,0.004542258,0.002619641,0.00009677673,0.00002728599,0.00002406943,0.0004029027,0.00004544992,0.003517538],"genre_scores_gemma":[0.9833214,0.004779452,0.002511299,0.00006530683,0.00003942518,0.00005223944,0.0007574963,0.0000348684,0.008438543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001719798,"threshold_uncertainty_score":0.003419518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008030048970366,"score_gpt":0.2051907745804891,"score_spread":0.1951104740907854,"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."}}