{"id":"W2004811156","doi":"10.1016/j.watres.2008.04.019","title":"Kinetic and thermodynamic aspects of adsorption of arsenic onto granular ferric hydroxide (GFH)","year":2008,"lang":"en","type":"article","venue":"Water Research","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":324,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Arsenic; Adsorption; Chemistry; Endothermic process; Hydrous ferric oxides; Reaction rate constant; Kinetics; Aqueous solution; Ferric; Hydroxide; Inorganic chemistry; Physical chemistry; Organic chemistry; Sorption","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":[0.0004531071,0.00005866417,0.00009778218,0.00008642711,0.00006578365,0.000003847349,0.0001089028,0.0000406562,0.0006781661],"category_scores_gemma":[0.00002356969,0.00004420055,0.00002753146,0.0001419811,0.0003635153,0.00009524704,0.0001208339,0.0001037347,0.00009319786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007282943,"about_ca_system_score_gemma":0.000009454675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009806099,"about_ca_topic_score_gemma":0.000302022,"domain_scores_codex":[0.9988654,0.0001345669,0.0001649852,0.0001711824,0.0004666224,0.0001972831],"domain_scores_gemma":[0.9997025,0.00001859952,0.00002859783,0.00017255,0.00002460218,0.0000531422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001490328,0.00004527118,0.006707468,0.0000132318,0.000003201217,0.000003542156,0.001622466,0.00003082051,0.9890903,0.0003379835,0.00003195481,0.002098852],"study_design_scores_gemma":[0.000618851,0.0002074209,0.4999386,0.00002544162,0.000006639648,0.00002973691,0.0001682428,0.009008056,0.4852704,0.004050128,0.0005648225,0.0001116359],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887868,0.00003489583,0.0001135117,0.0001136742,0.00001350881,0.000199727,0.000001307465,0.000008397305,0.01072814],"genre_scores_gemma":[0.9985156,0.00006779366,0.00006310247,0.000008055155,0.000006648687,0.000009001144,0.000007253877,0.000007486329,0.001315068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5038199,"threshold_uncertainty_score":0.7425444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03058012335756659,"score_gpt":0.2782981772264722,"score_spread":0.2477180538689056,"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."}}