{"id":"W4253317052","doi":"10.1021/cen-09444-buscon009","title":"FMC to buy lithium from Quebec’s Nemaska","year":2016,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spodumene; Lithium (medication); Lithium carbonate; Tonne; China; Geochemistry; Environmental science; Mining engineering; Geology; Waste management; Engineering; Geography; Archaeology; Metallurgy; Materials science; Chemistry; Ceramic; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004144535,0.0001410952,0.000128611,0.00003131486,0.00003009137,0.00005943823,0.0001690428,0.00007971426,0.0007849826],"category_scores_gemma":[0.00006594634,0.0001095798,0.00005228654,0.0001312488,0.00001384298,0.0002493731,0.00003360505,0.00005417319,0.002526784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001888102,"about_ca_system_score_gemma":0.00002792452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000281745,"about_ca_topic_score_gemma":0.001279978,"domain_scores_codex":[0.9992563,0.00001725319,0.0001950964,0.000189936,0.0001418574,0.0001995299],"domain_scores_gemma":[0.9994949,0.00004646708,0.0000200693,0.0002145785,0.00004370735,0.0001802459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002043397,0.0001737446,0.01999845,0.00007990049,0.0001973103,0.00005924956,0.001855246,0.002666789,0.05131804,0.002848125,0.7790123,0.1415865],"study_design_scores_gemma":[0.0006275729,0.00003433154,0.02062821,0.0001307872,0.0000194389,0.000007487028,0.0001360847,0.0005700225,0.008280126,0.001148126,0.9680309,0.0003869121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5619557,0.0007499781,0.2575109,0.004052766,0.00373837,0.0003723988,0.0003819995,0.001763549,0.1694744],"genre_scores_gemma":[0.9863341,0.0000673306,0.0006892604,0.0006267434,0.0002341814,0.00002171658,0.00001027853,0.00001818765,0.01199823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4243784,"threshold_uncertainty_score":0.9982499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005095825935881368,"score_gpt":0.2346344784017221,"score_spread":0.2295386524658407,"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."}}