{"id":"W4403364295","doi":"10.1016/j.micromeso.2024.113370","title":"Application of aluminosilicate residue-based zeolite from lithium extraction in water treatment","year":2024,"lang":"en","type":"article","venue":"Microporous and Mesoporous Materials","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Aluminosilicate; Zeolite; Residue (chemistry); Extraction (chemistry); Lithium (medication); Chemistry; Molecular sieve; Inorganic chemistry; Chemical engineering; Organic chemistry; Catalysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0001431896,0.0001709002,0.0002473199,0.0001330982,0.0000301162,0.00008377518,0.00004624095,0.0001099605,0.0001715437],"category_scores_gemma":[0.000002921049,0.0001319842,0.00002905732,0.00007394554,0.00003393691,0.0001982111,0.000007062251,0.00004920612,0.00007074056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008150216,"about_ca_system_score_gemma":0.00002203821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001255778,"about_ca_topic_score_gemma":0.0001508579,"domain_scores_codex":[0.9990483,0.00003229914,0.0004258183,0.0002450623,0.00007989866,0.0001686061],"domain_scores_gemma":[0.9996985,0.00003650938,0.0000359738,0.0001591291,0.00002770607,0.00004223695],"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":[0.00003889358,0.00004878111,0.0001262192,0.0002162115,0.0000231936,0.00001125273,0.0005884642,0.0003127519,0.9923974,0.00009745998,0.0002573227,0.00588203],"study_design_scores_gemma":[0.0002876324,0.00004284424,0.001139033,0.00004476581,0.00002688929,0.00001091266,0.00005141645,0.001068709,0.9498368,0.0003417247,0.0470094,0.0001398955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942331,0.00224699,0.001969632,0.0001602354,0.000371017,0.0002695117,0.00008791831,0.0002254456,0.0004361452],"genre_scores_gemma":[0.998018,0.0006176598,0.000336223,0.00003688785,0.00009643604,0.00008747099,0.0002878184,0.00003292515,0.0004865261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04675208,"threshold_uncertainty_score":0.5382158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008399803697432076,"score_gpt":0.246683621875419,"score_spread":0.2382838181779869,"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."}}