{"id":"W7143899916","doi":"10.71465/ajbt160","title":"Biotechnology in Environmental Monitoring and Pollution Control","year":2020,"lang":"","type":"article","venue":"American Journal of Biotechnology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental pollution; Environmental monitoring; Pollution; Sustainability; Monitoring and control; Pollution prevention","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0003245331,0.0002959977,0.0007085802,0.0003249846,0.00007294241,0.00002260563,0.0004995598,0.0004936471,0.0003290922],"category_scores_gemma":[0.0001206454,0.0002835326,0.0001024393,0.0007896962,0.002811594,0.0001873624,0.0002476073,0.0009633903,0.0001101528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003124887,"about_ca_system_score_gemma":0.00003716565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006025776,"about_ca_topic_score_gemma":0.000007740661,"domain_scores_codex":[0.9977281,0.0001327891,0.0009162437,0.0004364071,0.0002708754,0.0005155974],"domain_scores_gemma":[0.99847,0.00003131982,0.00105361,0.0001820522,0.000005541142,0.0002574929],"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":[0.0002054729,0.00008253631,0.0353526,0.000004043451,0.00003510891,0.00007451691,0.0002921138,0.00003443713,0.7375064,0.00002365867,0.00002727737,0.2263618],"study_design_scores_gemma":[0.003866836,0.006539813,0.1659721,0.00008030622,0.00009923698,0.0005751631,0.006407645,0.0005845922,0.805222,0.00004877782,0.009992959,0.0006105187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247869,0.001024107,0.0004979582,0.07317388,0.0002585676,0.0001749018,0.00004764319,0.00002320817,0.0000128566],"genre_scores_gemma":[0.9877622,0.01018962,0.001055951,0.0008629943,0.0001063195,5.475424e-7,4.453199e-7,0.00001840283,0.000003583613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2257513,"threshold_uncertainty_score":0.9999617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005650601013635592,"score_gpt":0.1977497385806473,"score_spread":0.1920991375670117,"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."}}