{"id":"W2783422865","doi":"10.4172/2155-9589.1000176","title":"“Titanium Oxide-Clay” as Adsorbent and Photocatalysts for Wastewater Treatment","year":2018,"lang":"en","type":"article","venue":"Journal of Membrane Science & Technology","topic":"Pigment Synthesis and Properties","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Adsorption; Wastewater; Titanium; Titanium oxide; Oxide; Materials science; Waste management; Sewage treatment; Metallurgy; Chemistry; Chemical engineering; Engineering; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001136597,0.0002618913,0.0002269663,0.0003174074,0.0001577616,0.0002944045,0.0002508773,0.0004499618,0.0003164228],"category_scores_gemma":[0.000105341,0.0001751758,0.0003244068,0.0001740212,0.0001205621,0.0002129755,0.0002284403,0.0002471994,0.0001948642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002921147,"about_ca_system_score_gemma":0.0002263254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008175245,"about_ca_topic_score_gemma":0.002218339,"domain_scores_codex":[0.9998934,0.00001282329,0.00000719221,0.00002118089,0.00004056063,0.00002483899],"domain_scores_gemma":[0.9999582,0.000005608066,0.000009787041,0.000002194609,0.0000105561,0.0000136473],"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":[0.00003956759,0.0000190341,0.00008845025,0.00007949267,0.000005385486,0.00004309221,0.000005366265,0.0001351352,0.9976183,0.00004793869,0.00002569178,0.001892607],"study_design_scores_gemma":[0.000009213773,0.0001627948,0.000884634,0.000003959255,0.0000207248,0.0001312135,0.0000131878,0.00194781,0.9952984,0.00002300316,0.001499134,0.000005865602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882739,0.002999473,0.007014366,0.0001043802,0.00004502161,0.00002657164,0.00009258508,0.0001084866,0.001335272],"genre_scores_gemma":[0.9918244,0.0007695737,0.005198505,0.00003091527,0.000009237068,0.00001256986,0.0001002316,0.00001257774,0.002042076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008175245,"threshold_uncertainty_score":0.002119422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171749377827341,"score_gpt":0.2630674582334715,"score_spread":0.2458925204507374,"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."}}