{"id":"W2901683766","doi":"","title":"Higher Q1 NEV sales bode well for battery raw material demand","year":2018,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); China; Electrification; Business; Electric vehicle; Agricultural economics; Agricultural science; Engineering; Commerce; Electricity; Economics; Environmental science; Geography; Electrical engineering","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":[0.0004883631,0.0005123216,0.0003018631,0.001406693,0.0007713473,0.002014108,0.0004939943,0.0005246606,0.1051224],"category_scores_gemma":[0.001587551,0.0002243008,0.0007012352,0.001514662,0.0004054534,0.00210101,0.0008440032,0.001103207,0.02733986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853695,"about_ca_system_score_gemma":0.001809137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03900678,"about_ca_topic_score_gemma":0.04922177,"domain_scores_codex":[0.9994801,0.00002122132,0.00001739176,0.0001146113,0.0002740998,0.0000925578],"domain_scores_gemma":[0.9985071,0.0001009975,0.0001213432,0.00005917447,0.001051661,0.0001598201],"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":[0.0004239171,0.0002194107,0.1363708,0.001271712,0.0001284728,0.001103969,0.0009986643,0.001706128,0.01231835,0.03378071,0.4084359,0.4032419],"study_design_scores_gemma":[0.00003069142,0.0001854071,0.1121562,0.0001398655,0.00003211474,0.0003721877,0.0006379033,0.0008620655,0.002953718,0.001178621,0.8814,0.00005128427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2216214,0.003936813,0.003602786,0.009348205,0.002172239,0.0003468416,0.05329676,0.003093215,0.7025817],"genre_scores_gemma":[0.4577933,0.003546929,0.002144692,0.002928019,0.0006858419,0.0001105892,0.03871674,0.0005044254,0.4935694],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1051224,"threshold_uncertainty_score":0.3516696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414702369759211,"score_gpt":0.2311704504433107,"score_spread":0.2070234267457186,"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."}}