{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002330618,0.0001517112,0.0002091023,0.00008428653,0.0001363088,0.0002598631,0.0001340847,0.0001927198,0.0006742036],"category_scores_gemma":[0.0002214952,0.0001485546,0.0000267542,0.0000415157,0.00003518801,0.0004714587,0.00003020747,0.0002615919,0.00001483089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002710929,"about_ca_system_score_gemma":0.00002044969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006637586,"about_ca_topic_score_gemma":0.002431829,"domain_scores_codex":[0.9992,0.00003121956,0.0002608287,0.0001736055,0.0001074699,0.0002268317],"domain_scores_gemma":[0.9995236,0.00005467383,0.00008050411,0.0002206972,0.00001934337,0.0001011304],"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":[0.0001894077,0.00006907578,0.0561817,0.00008692822,0.00006261111,0.0001241681,0.001094825,0.001896884,0.01225945,0.000178912,0.897813,0.03004308],"study_design_scores_gemma":[0.004209789,0.00003883026,0.1943115,0.0001688163,0.00002471452,0.00002043435,0.0002555723,0.0124311,0.002815046,0.0001586458,0.7850352,0.0005303344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7576433,0.000321503,0.00002846284,0.0009352303,0.0007317319,0.0002384829,0.00005832991,0.00008337547,0.2399596],"genre_scores_gemma":[0.8410701,0.0001874467,0.00005593462,0.0000236632,0.0004301334,0.000009649066,0.00001121339,0.00001677007,0.1581951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1381298,"threshold_uncertainty_score":0.7382056,"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."}}