{"id":"W4316591887","doi":"10.5296/emsd.v12i1.20677","title":"Advanced Nano-biotechnology for Chlorinated Volatile Compound Pollutants Control","year":2023,"lang":"en","type":"article","venue":"Environmental Management and Sustainable Development","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental remediation; Pollutant; Environmental science; Human health; Organic chemicals; Biochemical engineering; Biotechnology; Waste management; Environmental chemistry; Engineering; Contamination; Chemistry; Biology; Ecology; Medicine; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.0003403285,0.0002378041,0.0001964283,0.000132852,0.0004528232,0.00004233746,0.0002027717,0.00009745123,0.0007158718],"category_scores_gemma":[0.000008070425,0.0002299054,0.00003746945,0.0003003565,0.0001590675,0.000176669,0.0005061898,0.00006570091,0.0005142809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004073892,"about_ca_system_score_gemma":0.000007294082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006281726,"about_ca_topic_score_gemma":0.000005159715,"domain_scores_codex":[0.998193,0.00001756951,0.0002947299,0.0004977655,0.0002461896,0.000750798],"domain_scores_gemma":[0.9996,0.00002511556,0.00008687497,0.0001757354,0.000002324884,0.0001099327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001323048,0.0009575167,0.09380636,0.000599598,0.0006444148,0.000728103,0.002734721,0.0009572064,0.2536758,0.005480746,0.03109283,0.6079997],"study_design_scores_gemma":[0.003915604,0.0001407514,0.3373897,0.00001347128,0.00003212452,0.00000519544,0.004316579,0.0008043552,0.0206873,0.0005676217,0.6314929,0.0006344917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948081,0.00005480688,0.000721162,0.0005731937,0.0001368558,0.001596878,0.00003403813,0.0001855306,0.001889413],"genre_scores_gemma":[0.9703549,0.0001822663,0.001820218,0.0002760496,0.000009857047,0.0001157819,0.00008591884,0.00002346815,0.02713151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6073652,"threshold_uncertainty_score":0.9375269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004123997877765202,"score_gpt":0.1825464606926832,"score_spread":0.178422462814918,"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."}}