{"id":"W4206594562","doi":"10.1016/s0306-3747(20)30070-1","title":"LG Chem plans major investment to triple its carbon nanotube production capacity","year":2020,"lang":"en","type":"article","venue":"Additives for Polymers","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Investment (military); Carbon nanotube; Tonne; Quarter (Canadian coin); Agricultural economics; Natural resource economics; Business; Environmental science; Economics; Nanotechnology; Materials science; Waste management; Engineering; Political science; Geography; Macroeconomics","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":[0.00003000133,0.0001315097,0.0001116628,0.000007748319,0.00005255235,0.000008243027,0.0001176564,0.00004794926,0.0005773597],"category_scores_gemma":[0.0001282889,0.0001344007,0.00005416237,0.0001542633,0.00005183924,0.0000793798,0.00005738689,0.00007762737,0.00003842588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001001915,"about_ca_system_score_gemma":0.000005733016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003276179,"about_ca_topic_score_gemma":0.00000477449,"domain_scores_codex":[0.9991629,0.000004861437,0.0001189872,0.0003352512,0.0001374649,0.00024054],"domain_scores_gemma":[0.9996124,0.00001959257,0.00002930532,0.00009946767,0.000003670747,0.0002356024],"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":[0.0000426096,0.00002519106,0.00005239199,0.00002873248,0.00001666343,8.411567e-7,0.0008267642,0.0002277606,0.9939417,0.0000238014,0.004142366,0.0006712271],"study_design_scores_gemma":[0.0002187217,0.00005276854,0.000179941,0.00001052532,0.00001398344,0.000001965505,0.0001621936,0.0005412337,0.9737915,0.00001487657,0.02483949,0.0001728352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984566,0.00002791642,0.00008850429,0.002188582,0.000158581,0.000367588,0.0002362238,0.00009012744,0.01227642],"genre_scores_gemma":[0.9971653,0.000002496882,0.0003127946,0.000909182,0.0001991847,0.0001065705,0.00005551835,0.00001682453,0.001232139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02069712,"threshold_uncertainty_score":0.6321684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413234506028242,"score_gpt":0.1973748086446644,"score_spread":0.183242463584382,"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."}}