{"id":"W3164750422","doi":"10.1016/j.jhazmat.2021.126116","title":"Functional modification of HHCB: Strategy for obtaining environmentally friendly derivatives","year":2021,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Jilin University","keywords":"Environmentally friendly; Biochemical engineering; Biotransformation; Human health; Cosmetics; Quantitative structure–activity relationship; Environmental chemistry; Chemistry; Organic chemistry; Biology; Medicine; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001171297,0.000343037,0.000127566,0.000123272,0.0001089,0.000143639,0.0002588602,0.0002734016,0.001716888],"category_scores_gemma":[0.0001127122,0.00007781135,0.0001624773,0.0001351512,0.0001432931,0.0002066525,0.0002036243,0.0003960589,0.0003864123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346521,"about_ca_system_score_gemma":0.0003260082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001674909,"about_ca_topic_score_gemma":0.00211178,"domain_scores_codex":[0.99989,0.00001088604,0.000005451785,0.00001668819,0.00002752181,0.00004947831],"domain_scores_gemma":[0.9999601,0.000004725825,0.000007229806,0.000007299941,0.00001108716,0.00000950109],"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":[0.00005856451,0.00003176058,0.0001153432,0.00006564158,0.000006343597,0.000142476,0.00003161634,0.0002048181,0.9935443,0.0006329895,0.0001721473,0.00499403],"study_design_scores_gemma":[0.000003580355,0.00007213507,0.000360925,0.000003552146,0.000004677511,0.00006809151,0.00001155129,0.0003240945,0.9964804,0.00005558055,0.002610995,0.000004434859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470327,0.001765207,0.03680212,0.0004315547,0.0001298987,0.0001273242,0.0004795447,0.0002608763,0.01297079],"genre_scores_gemma":[0.9887913,0.0006676221,0.004475843,0.0001145235,0.00001037197,0.00003206056,0.0001962534,0.0000243033,0.005687578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001716888,"threshold_uncertainty_score":0.005743563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05898695440075837,"score_gpt":0.3078342383495868,"score_spread":0.2488472839488285,"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."}}