{"id":"W4223452408","doi":"10.1016/j.watres.2022.118422","title":"The multi-process reaction model and underlying mechanisms of 2,4,6-trichlorophenol removal in lab-scale biochar-microorganism augmented ZVI PRBs and field-scale PRBs performance","year":2022,"lang":"en","type":"article","venue":"Water Research","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Sorption; Chemistry; Biochar; Chemical engineering; Materials science; Nuclear chemistry; Organic chemistry; Pyrolysis","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":[0.0001978615,0.000563417,0.0004208795,0.000289567,0.0003159443,0.0005901881,0.0008559692,0.0005919788,0.001879269],"category_scores_gemma":[0.000216387,0.0002730763,0.001005263,0.0002866168,0.0002637742,0.0007895473,0.0003127067,0.0005479917,0.0003708302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008192682,"about_ca_system_score_gemma":0.0008485322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01213897,"about_ca_topic_score_gemma":0.006347253,"domain_scores_codex":[0.9999058,0.00000894231,0.000006776416,0.00003299837,0.00002369464,0.00002175392],"domain_scores_gemma":[0.999946,0.00001906631,0.00001045362,0.000006243049,0.00001370648,0.00000447992],"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":[0.0003757058,0.0002123698,0.004208553,0.0005724306,0.000137979,0.0005410668,0.0001737931,0.558583,0.3944975,0.02596863,0.0005450663,0.01418387],"study_design_scores_gemma":[0.00001222958,0.00006104076,0.001147554,0.000004706531,0.000037944,0.00006048937,0.0000391394,0.9466865,0.04888644,0.002372594,0.0006753932,0.0000160229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7975888,0.00160123,0.1887109,0.0007344183,0.00009448144,0.0001345557,0.0008610726,0.0004540588,0.009820403],"genre_scores_gemma":[0.9912341,0.0005495416,0.003656117,0.00002100387,0.00000503891,0.00004166361,0.0001893295,0.0000130504,0.00429014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01213897,"threshold_uncertainty_score":0.0241366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03746159530557852,"score_gpt":0.2852971732141409,"score_spread":0.2478355779085624,"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."}}