{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002737351,0.0002138959,0.000391656,0.00005024611,0.0001192961,0.00002712424,0.0001391806,0.00009769094,0.0001017284],"category_scores_gemma":[0.00001200047,0.000161125,0.00009479446,0.000313742,0.0002391686,0.0002351103,0.00009113375,0.0004723702,0.000002380904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005326091,"about_ca_system_score_gemma":0.00002214924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003646252,"about_ca_topic_score_gemma":0.000005760607,"domain_scores_codex":[0.9984837,0.00005454298,0.0005003143,0.00030747,0.000296275,0.0003576996],"domain_scores_gemma":[0.9994446,0.00007345899,0.0001639505,0.0001698676,0.00006959818,0.00007851192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004387763,0.001106559,0.02745745,0.00152397,0.0002040396,0.00004611425,0.006273966,0.6763907,0.2679857,0.000004243858,0.0002773996,0.01829105],"study_design_scores_gemma":[0.005595585,0.00529204,0.2774715,0.0003842051,0.000335543,0.0006825929,0.01720059,0.1114251,0.4969758,0.0007790994,0.08070268,0.003155329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977198,0.0002864558,0.0003907649,0.0003428939,0.00004783854,0.0003836785,0.000003685318,0.0001263598,0.000698496],"genre_scores_gemma":[0.9848024,0.00006608084,0.01465367,0.0002278353,0.00002066877,0.00005805969,0.00003427023,0.00002297733,0.0001140193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5649657,"threshold_uncertainty_score":0.6570488,"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."}}