{"id":"W2388759413","doi":"","title":"Study on the Preparation of Ti-CMC-HTL/WP and Its Adsorption Performance","year":2014,"lang":"en","type":"article","venue":"Cailiao daobao","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Coprecipitation; Adsorption; Materials science; Methylene blue; Nuclear chemistry; Chemical engineering; Chemistry; Inorganic chemistry; Catalysis; Organic chemistry; Photocatalysis","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":[0.0001890194,0.0003224353,0.0002893536,0.0004324686,0.000223039,0.0002554858,0.0002850985,0.0003028622,0.001269071],"category_scores_gemma":[0.0004117258,0.0001329836,0.0003640168,0.000419148,0.0001328047,0.0002876242,0.0001445425,0.0004260665,0.0005307285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003081259,"about_ca_system_score_gemma":0.0002488623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783202,"about_ca_topic_score_gemma":0.002060551,"domain_scores_codex":[0.9998289,0.00001202307,0.00001437422,0.00003104357,0.000080022,0.00003358768],"domain_scores_gemma":[0.999893,0.00001795337,0.00002526018,0.00001141898,0.00004010692,0.00001235234],"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":[0.00002745562,0.00001302097,0.0001314469,0.0001195889,0.000006860631,0.0000579482,0.00001955607,0.0001217597,0.9964315,0.00005242888,0.0000464177,0.002972006],"study_design_scores_gemma":[0.000002406113,0.00005701232,0.0008061409,0.000004332744,0.00001106167,0.00008071278,0.00001029616,0.0004502248,0.9970827,0.00001280537,0.00147763,0.000004763028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667698,0.005697172,0.02067218,0.0002387908,0.00007650913,0.0001406867,0.0006388421,0.0001881461,0.005577871],"genre_scores_gemma":[0.9715245,0.00253409,0.01896343,0.00009633013,0.00002615077,0.0001090447,0.0008218439,0.00009762834,0.005826898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001783202,"threshold_uncertainty_score":0.00424546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179865023183345,"score_gpt":0.2537713503673888,"score_spread":0.2319727001355553,"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."}}