{"id":"W4287243114","doi":"","title":"A global method for assessing energy and emissions for future mobility scenarios","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Environmental science; Energy (signal processing); Greenhouse gas; Computer science; Mathematics; Geology; Statistics; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00293576,0.001837605,0.001104703,0.004167875,0.0006187411,0.001517098,0.001062985,0.001143454,0.00498431],"category_scores_gemma":[0.004726886,0.0004950131,0.001805725,0.003605247,0.0007512362,0.001668713,0.001890941,0.00106388,0.001065063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007016283,"about_ca_system_score_gemma":0.001218382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005910383,"about_ca_topic_score_gemma":0.006650141,"domain_scores_codex":[0.9989313,0.0004251123,0.00004866406,0.0002280581,0.0002923889,0.00007437258],"domain_scores_gemma":[0.9985213,0.0006681019,0.000109513,0.0003280638,0.0003337447,0.00003936148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001985381,0.0001172366,0.01371585,0.0003706842,0.0006649409,0.0001742129,0.000232412,0.626562,0.009829097,0.06665047,0.006710006,0.2747746],"study_design_scores_gemma":[0.00004622165,0.0001365917,0.006202927,0.00008927062,0.0001837973,0.0002531502,0.000156705,0.9015564,0.004846504,0.06590883,0.02053606,0.00008355019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009719525,0.0001786939,0.9809996,0.0000684637,0.00005130253,0.0000774227,0.001100834,0.0005750975,0.007229181],"genre_scores_gemma":[0.1817849,0.0004119738,0.8078448,0.00007858205,0.00005876225,0.0005653442,0.00231538,0.000548858,0.006391393],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005910383,"threshold_uncertainty_score":0.01667422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407382153277589,"score_gpt":0.2693564889440149,"score_spread":0.255282667411239,"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."}}