{"id":"W2356432950","doi":"","title":"Uses of Lithium and Its Resource Exploitation","year":2004,"lang":"en","type":"article","venue":"Zhongguo anquan kexue xuebao","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Lithium carbonate; Lithium (medication); Brine; Industrialisation; Natural resource economics; Resource (disambiguation); Lithium metal; Environmental science; Business; Waste management; Engineering; Battery (electricity); Geography; Economics; Power (physics); Market economy; Chemistry; Computer science","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":[0.00007997161,0.0001042936,0.0001273779,0.0001022553,0.00005228589,0.00003347122,0.00006025703,0.00006637396,0.00005223924],"category_scores_gemma":[0.00005479202,0.0001088509,0.00002569563,0.0001840874,0.00002480688,0.000358326,0.000009013928,0.00009307605,0.00004335339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002069467,"about_ca_system_score_gemma":0.00001576019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009196724,"about_ca_topic_score_gemma":0.00001782486,"domain_scores_codex":[0.9993998,0.00001238952,0.0002130579,0.0001223253,0.0001282206,0.0001242187],"domain_scores_gemma":[0.999693,0.00004259178,0.00004302744,0.00009951157,0.00005925487,0.00006265401],"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":[0.0001911039,0.0004656544,0.001813657,0.002840704,0.0002782713,0.00006060717,0.02623198,0.1891984,0.6429824,0.09676754,0.02452138,0.01464823],"study_design_scores_gemma":[0.001872719,0.0002280698,0.005435398,0.0002553087,0.00005303419,0.00008356078,0.002593752,0.007269859,0.7136274,0.003442654,0.264394,0.0007442796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586983,0.002033681,0.005690152,0.0003465656,0.0002197437,0.0001630725,0.00001171069,0.0003890155,0.03244772],"genre_scores_gemma":[0.9977715,0.0001579847,0.0005414797,0.0000610398,0.00005616544,0.00001065557,0.000010069,0.00002180151,0.001369291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2398726,"threshold_uncertainty_score":0.4438811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202524199610275,"score_gpt":0.2434380942385296,"score_spread":0.2231856742775021,"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."}}