{"id":"W4312799380","doi":"10.1130/abs/2022am-383143","title":"RECOVERY OF LITHIUM IN HYDRAULIC FRACTURING FLOWBACK AND PRODUCED WATER USING A MAGNESIUM-LITHIUM MANGANESE OXIDE COMPOSITE","year":2022,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Hydraulic fracturing; Magnesium; Manganese; Lithium (medication); Composite number; Manganese oxide; Materials science; Petroleum engineering; Geology; Metallurgy; Composite material","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":[0.0001894607,0.0002028123,0.0002417059,0.0003161158,0.0004048898,0.0003382855,0.0003035791,0.0002864581,0.001262631],"category_scores_gemma":[0.0002563613,0.0001181975,0.0002104715,0.0002119084,0.0002352471,0.0003518263,0.0002434572,0.0002346243,0.0002398801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004246034,"about_ca_system_score_gemma":0.0003001064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003073097,"about_ca_topic_score_gemma":0.008528821,"domain_scores_codex":[0.9999171,0.00000897932,0.000006678027,0.00001364283,0.00002910724,0.0000244097],"domain_scores_gemma":[0.999933,0.00001723002,0.00001461214,0.000005379342,0.0000188894,0.00001091035],"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":[0.0006745335,0.00004257379,0.0007245873,0.00007484941,0.000008423554,0.0001205031,0.0001153351,0.0005422293,0.9934017,0.00008328272,0.0001413755,0.004070616],"study_design_scores_gemma":[0.00002504993,0.0002688773,0.001392309,0.000006140353,0.00001088595,0.00003405143,0.00007060513,0.002189135,0.9954035,0.00001512531,0.0005781366,0.000006035155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985707,0.00008268136,0.0005393842,0.00003834055,0.000008662299,0.000006908849,0.0000386119,0.00003378299,0.0006808551],"genre_scores_gemma":[0.9976446,0.00003809958,0.0004590158,0.00001268566,0.000001966541,0.000003670953,0.00003452554,0.000008323742,0.001797023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003073097,"threshold_uncertainty_score":0.00611043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611417730206986,"score_gpt":0.2350998940701331,"score_spread":0.2189857167680633,"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."}}