{"id":"W1999766305","doi":"10.1080/00986445.2013.819351","title":"APPLICATION OF POWER LAW LOGISTIC MODEL TO GROWTH KINETICS OF<i>BACILLUS LICHENIFORMIS</i>MS3 ON A WATER-INSOLUBLE SUBSTRATE","year":2013,"lang":"en","type":"article","venue":"Chemical Engineering Communications","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Bacillus licheniformis; Chemistry; Decane; Biodegradation; Hydrocarbon; Substrate (aquarium); Population; Chromatography; Mass transfer; Kinetics; Bacterial growth; Chemical engineering; Bacteria; Organic chemistry; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003477073,0.0008888303,0.0006605079,0.0003792437,0.0001896454,0.0005540174,0.0006232885,0.0009836265,0.0007905837],"category_scores_gemma":[0.001453185,0.0002976558,0.0008786914,0.0003996961,0.0002571969,0.000588069,0.0003109705,0.0007062054,0.0002919849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008201813,"about_ca_system_score_gemma":0.0006392704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0146956,"about_ca_topic_score_gemma":0.00402548,"domain_scores_codex":[0.9998149,0.00004767987,0.00001307918,0.00004951339,0.0000311641,0.00004364631],"domain_scores_gemma":[0.9995459,0.0002790681,0.00007053961,0.00001623239,0.000075873,0.00001235055],"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":[0.0001756065,0.00007285977,0.005285442,0.0002265053,0.00005463152,0.0003800078,0.0001768964,0.9373922,0.04410737,0.00343252,0.0003007979,0.008395082],"study_design_scores_gemma":[0.000005981005,0.00003253449,0.0003012588,0.000002678061,0.000006061754,0.00003132807,0.00001394588,0.9962081,0.002837705,0.0003402767,0.0002112944,0.000008838373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7587492,0.001429877,0.2317161,0.0007809776,0.00006649546,0.0001436912,0.0005432766,0.0003816224,0.006188677],"genre_scores_gemma":[0.9900813,0.0006421727,0.006133248,0.00003347544,0.000009037563,0.00009459193,0.00016096,0.00002252383,0.002822665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0146956,"threshold_uncertainty_score":0.02922016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636012774732692,"score_gpt":0.2164452122017595,"score_spread":0.2000850844544326,"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."}}