{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001394499,0.000418202,0.0003772621,0.0003997527,0.0002641024,0.0004085277,0.0002466193,0.0004097244,0.0007351682],"category_scores_gemma":[0.0001701915,0.0002059222,0.0005380966,0.0002928746,0.0001782006,0.0004108218,0.0003642701,0.0002801832,0.0004162591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002906554,"about_ca_system_score_gemma":0.0002989019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178711,"about_ca_topic_score_gemma":0.003334507,"domain_scores_codex":[0.9998769,0.00001722193,0.00001390493,0.00002099164,0.00004736091,0.00002366083],"domain_scores_gemma":[0.9999583,0.000005801711,0.00001187841,0.000003597537,0.00001416792,0.000006157728],"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":[0.00007169981,0.00001966505,0.0003733929,0.0002234801,0.00001134227,0.00009726208,0.00002479948,0.0002762367,0.9930896,0.00005645377,0.00003960792,0.005716463],"study_design_scores_gemma":[0.00001041206,0.0001766093,0.002006282,0.00001193837,0.00002373649,0.0001502956,0.00003862577,0.001355063,0.9935604,0.00003972587,0.002613765,0.00001318297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984216,0.002924408,0.00971458,0.0001430786,0.0000479642,0.0000939733,0.0002472363,0.0001948537,0.002417884],"genre_scores_gemma":[0.9930864,0.00128415,0.003987137,0.00003646266,0.000008279448,0.00002731761,0.0001398747,0.00001531473,0.001415081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001178711,"threshold_uncertainty_score":0.002459347,"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."}}