{"id":"W4388974474","doi":"10.1680/jenes.23.00090","title":"Thiol-modified olive-stone biochar preparation for Hg(II) removal from aqueous solutions","year":2023,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biochar; Adsorption; Pyrolysis; Mercury (programming language); Aqueous solution; Chemistry; Thiol; Charcoal; Environmental remediation; Environmental chemistry; Nuclear chemistry; Contamination; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004747346,0.0001211308,0.0001360648,0.000127495,0.0003567134,0.00004021037,0.0002061357,0.00005208278,0.0001845529],"category_scores_gemma":[0.00004837534,0.0001043455,0.00007678275,0.0002700783,0.0003006042,0.0004043122,0.0001648441,0.0001110117,0.00005446507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001463685,"about_ca_system_score_gemma":0.00001393514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005759567,"about_ca_topic_score_gemma":8.784873e-7,"domain_scores_codex":[0.9987909,0.000009752957,0.0002827158,0.000221188,0.0004100502,0.0002853864],"domain_scores_gemma":[0.99953,0.00003641398,0.0001384812,0.0001140699,0.000003508668,0.0001774917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003098758,0.00003826186,0.0001428325,0.000002346268,0.000006971822,0.000007845737,0.0002794922,0.02094549,0.9750455,0.0001130868,0.0001975288,0.003189677],"study_design_scores_gemma":[0.002403993,0.001348897,0.1082212,0.0001050494,0.00009953073,0.0009916191,0.000723185,0.7549464,0.08697162,0.001309469,0.04194479,0.0009342807],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950482,0.0001604761,0.003893116,0.0002153569,0.0003196342,0.000117198,0.00005327095,0.00003493898,0.0001578119],"genre_scores_gemma":[0.9958521,0.0002344444,0.003199959,0.00004537881,0.00008820591,0.000002248439,0.000005779352,0.00000917228,0.000562774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8880739,"threshold_uncertainty_score":0.4255085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144336000683697,"score_gpt":0.228634589972325,"score_spread":0.2142009899039553,"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."}}