{"id":"W3043641108","doi":"10.2166/h2oj.2020.012","title":"Kinetic analysis of sucrose activated carbon for nutrient removal in water","year":2020,"lang":"en","type":"article","venue":"H2Open Journal","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adsorption; Chemistry; Freundlich equation; Activated carbon; Langmuir; Nitrate; Phosphate; Sucrose; Langmuir adsorption model; Inorganic chemistry; Nuclear chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003055669,0.00008924841,0.0002313711,0.00008351105,0.00004486881,0.00002940208,0.0002341355,0.00002662222,0.001022784],"category_scores_gemma":[0.00001855895,0.00006318285,0.0001121664,0.0005502282,0.00003625957,0.00009102152,0.0001449683,0.0001059273,0.00001360838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009738553,"about_ca_system_score_gemma":0.000004511418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001663293,"about_ca_topic_score_gemma":0.00003038647,"domain_scores_codex":[0.9989917,0.00002947053,0.0003092014,0.0001793117,0.0002472164,0.0002431001],"domain_scores_gemma":[0.999656,0.00001346077,0.00009601148,0.0001048999,0.000009572752,0.0001200702],"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":[0.00232621,0.0008221128,0.2680324,0.00004627527,0.0009546711,0.0002891568,0.007640347,0.04412761,0.6619033,0.0001857754,0.0050641,0.008607998],"study_design_scores_gemma":[0.005705096,0.001017932,0.2488901,0.0000540451,0.00108847,0.00002303109,0.0006975486,0.05457828,0.5679757,0.001047442,0.1182884,0.000633993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962897,0.00002766571,0.0002330297,0.000999108,0.00005078764,0.0002193214,0.000002488119,0.000004350936,0.002173604],"genre_scores_gemma":[0.9991749,0.00003897247,0.0003781335,0.0002350829,0.00002195837,0.000006309588,0.000005844054,0.000007409613,0.0001313972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1132243,"threshold_uncertainty_score":0.9998904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540334682551685,"score_gpt":0.2297919091962275,"score_spread":0.2143885623707107,"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."}}