{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001090052,0.001262045,0.0002815956,0.001072839,0.001167621,0.002344995,0.0009929597,0.002387473,0.09393965],"category_scores_gemma":[0.0009933885,0.0003797954,0.0009386466,0.0006375754,0.0005690685,0.002221589,0.001360962,0.001847123,0.05592544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003284269,"about_ca_system_score_gemma":0.007125621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01948555,"about_ca_topic_score_gemma":0.02566408,"domain_scores_codex":[0.9992568,0.00006091777,0.000009782909,0.00009293209,0.0003751004,0.0002045071],"domain_scores_gemma":[0.998457,0.00006468445,0.00005489284,0.0000915754,0.0006300368,0.0007018602],"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":[0.0006520426,0.0003529312,0.001775263,0.000328618,0.00006164194,0.0007814087,0.00008271849,0.001125733,0.02605333,0.009660269,0.8349387,0.1241874],"study_design_scores_gemma":[0.00007181276,0.0003125595,0.001516956,0.00006747786,0.00002240206,0.0001916247,0.0001475796,0.0009406175,0.008098132,0.000727107,0.9878759,0.00002782886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04481709,0.006185781,0.01123687,0.05093186,0.006200904,0.0008227307,0.01389222,0.0119123,0.8540003],"genre_scores_gemma":[0.1115368,0.005297744,0.01679192,0.01516899,0.0007039862,0.0003586496,0.01529405,0.001325246,0.8335226],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09393965,"threshold_uncertainty_score":0.3142595,"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."}}