{"id":"W599168387","doi":"","title":"Impacts of Geographic Variation on Aluminum Lightweighted Plug-In Hybrid Electric Vehicle Greenhouse Gas Emissions","year":2013,"lang":"en","type":"article","venue":"Deep Blue (University of Michigan)","topic":"Material Selection and Properties","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bonneville Power Administration; Department of Environment and Primary Industries; Division of Emerging Frontiers; Natural Environment Research Council; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy; National Highway Traffic Safety Administration; Division of Emerging Frontiers in Research and Innovation; National Science Foundation","keywords":"Greenhouse gas; Variation (astronomy); Environmental science; Plug-in; Computer science; Ecology; Physics; Operating system; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001701731,0.000117506,0.000231597,0.0003247278,0.0001327423,0.00002009632,0.0002490968,0.00007634338,0.001795156],"category_scores_gemma":[0.00002974838,0.0001192156,0.00006424409,0.0003625934,0.00006427481,0.0002736261,0.00004956671,0.00008911717,0.0001685711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002780903,"about_ca_system_score_gemma":0.00004346553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005500661,"about_ca_topic_score_gemma":0.005464002,"domain_scores_codex":[0.9990426,0.0001241709,0.0001773122,0.0002189625,0.0001982002,0.0002386943],"domain_scores_gemma":[0.9993624,0.0000375751,0.000183273,0.0002108552,0.000105587,0.0001002829],"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":[0.0001435328,0.0001538625,0.0006995394,0.00003368902,0.00001140293,0.000003411134,0.005466104,0.00004272016,0.9929089,0.0001245811,0.0000383893,0.0003738803],"study_design_scores_gemma":[0.001378008,0.0005467068,0.07915176,0.00009664644,0.00004108595,0.000007437168,0.001664525,0.005983676,0.9097202,0.0005908482,0.0005234145,0.0002956864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989274,0.00004396903,0.0001356829,0.0001843113,0.0001256882,0.0002135294,0.000009865611,0.00005664698,0.0003029198],"genre_scores_gemma":[0.9994471,0.00007702156,0.0002296837,0.00004102987,0.00002053584,6.16468e-7,0.000007352091,0.000009973523,0.0001666684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08318868,"threshold_uncertainty_score":0.9991173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006222423689176297,"score_gpt":0.1732171554025824,"score_spread":0.1669947317134061,"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."}}