{"id":"W4406388697","doi":"10.1016/j.jwpe.2025.106996","title":"Advancing phosphate batch adsorption: Comprehensive modeling and scalability with granulated clay adsorbent in single and binary systems","year":2025,"lang":"en","type":"article","venue":"Journal of Water Process Engineering","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Adsorption; Binary number; Phosphate; Scalability; Chemical engineering; Materials science; Chemistry; Process engineering; Computer science; Organic chemistry; Engineering; Mathematics","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":[0.000366697,0.000642956,0.0008809054,0.0003518962,0.0004082017,0.0009165442,0.0007929829,0.001338113,0.0008474442],"category_scores_gemma":[0.0006009022,0.0003821862,0.001064603,0.000427393,0.0003041841,0.0007095345,0.0004464392,0.0005538645,0.0002531462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167761,"about_ca_system_score_gemma":0.0009008062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03681659,"about_ca_topic_score_gemma":0.01529362,"domain_scores_codex":[0.9998587,0.00001940808,0.00001034073,0.00003735885,0.00004591804,0.00002821457],"domain_scores_gemma":[0.9997457,0.0001279961,0.0000311203,0.0000197828,0.0000616593,0.00001382302],"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":[0.0001604263,0.000226458,0.003010221,0.0001856793,0.00005532064,0.0001729032,0.00004865813,0.965114,0.02439113,0.0006738426,0.000180694,0.005780613],"study_design_scores_gemma":[0.000006657476,0.00003054948,0.0002522263,0.000001097516,0.000006627298,0.000006015578,0.000005621125,0.9975056,0.002014537,0.00007541696,0.00009140348,0.000004254048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576964,0.0008926774,0.03521312,0.0002434767,0.00003749505,0.0001342638,0.0004775268,0.0002637433,0.005041309],"genre_scores_gemma":[0.9871569,0.0005366799,0.01002846,0.00003805665,0.00000990043,0.0001197479,0.000222886,0.00002024165,0.00186704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03681659,"threshold_uncertainty_score":0.07320458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004776060590551433,"score_gpt":0.1952059577636791,"score_spread":0.1904298971731276,"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."}}