{"id":"W7096748869","doi":"","title":"ANALYSIS OF HYPOTHETICAL FLEET OF ELECTRIFIED VEHICLES IN CANADA AND THE U.S.","year":2010,"lang":"en","type":"article","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Work (physics); Context (archaeology); Data collection","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":[0.0005431377,0.0004187657,0.0004355774,0.001268265,0.001450529,0.001462023,0.001527007,0.0007621479,0.005290478],"category_scores_gemma":[0.002001222,0.0002803948,0.0006629094,0.002578947,0.0007100036,0.0006672922,0.0005094031,0.0007260065,0.0002955271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01970899,"about_ca_system_score_gemma":0.006889243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9660892,"about_ca_topic_score_gemma":0.9716613,"domain_scores_codex":[0.9996533,0.00005885654,0.00001080522,0.00004876847,0.0000683617,0.000159831],"domain_scores_gemma":[0.998858,0.0003139961,0.00007833279,0.00003923591,0.0005638874,0.0001465717],"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":[0.0004558905,0.0002031024,0.1750962,0.0001091071,0.0001656101,0.001238402,0.0003075559,0.7910738,0.0006457642,0.01298049,0.008715033,0.00900911],"study_design_scores_gemma":[0.0000622586,0.0001670314,0.2755104,0.00006679437,0.0001221203,0.0001802528,0.005715635,0.7106537,0.0005249947,0.002215726,0.004706454,0.00007461875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869438,0.0001242772,0.000558654,0.0003058886,0.00001120596,0.00007006291,0.004886751,0.00002652379,0.007072862],"genre_scores_gemma":[0.9918006,0.0001369059,0.0005431095,0.00003482198,0.000002242193,0.00001931356,0.003394247,0.000009061377,0.004059772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03391075,"threshold_uncertainty_score":0.1429994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002586601660115353,"score_gpt":0.1575065864276837,"score_spread":0.1549199847675684,"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."}}