{"id":"W2899492264","doi":"","title":"Lithium 2017: : Supply, demand and China's booming market take centre stage in Montreal","year":2017,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; China; Supply and demand; Lithium (medication); Business; Chinese market; Engineering; Commerce; Economy; Political science; Economics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006159323,0.0004007415,0.0001954951,0.0007770479,0.00435133,0.006801728,0.0009294513,0.001476891,0.03732952],"category_scores_gemma":[0.0008135324,0.0002590713,0.0003363343,0.00185616,0.00163507,0.002714582,0.00173183,0.001487187,0.002069665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0254896,"about_ca_system_score_gemma":0.02451425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8220659,"about_ca_topic_score_gemma":0.8987275,"domain_scores_codex":[0.999582,0.0000192603,0.000008925061,0.00004059829,0.0002042247,0.0001449536],"domain_scores_gemma":[0.9995437,0.00002280548,0.00004012328,0.0000101492,0.0001716649,0.000211447],"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":[0.0003618893,0.00009522512,0.02143955,0.0002760041,0.00002817089,0.001721037,0.004809533,0.001223107,0.005374446,0.1685488,0.7113815,0.08474074],"study_design_scores_gemma":[0.000032813,0.000068135,0.0489169,0.00006317909,0.000009875364,0.00009199142,0.005386703,0.0007826813,0.00129782,0.002913681,0.9403502,0.00008622539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2399072,0.01061758,0.001669278,0.1800658,0.002272639,0.0001382714,0.007028503,0.001039446,0.5572612],"genre_scores_gemma":[0.4970056,0.003495647,0.000796144,0.006473426,0.0004237268,0.00003258403,0.001767521,0.0002099031,0.4897955],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1779341,"threshold_uncertainty_score":0.357964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03357737615409328,"score_gpt":0.2658962034833677,"score_spread":0.2323188273292744,"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."}}