{"id":"W4242297471","doi":"10.5383/ijtee.14.01.008","title":"Investigation of Performance Characteristics of Hybrid Cars","year":2017,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hybrid vehicle; Hybrid system; Automotive industry; Automotive engineering; Range (aeronautics); Payback period; Gallon (US); Horsepower; Computer science; Transport engineering; Operations research; Manufacturing engineering; Engineering; Production (economics); Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004951797,0.0003822183,0.0002279968,0.001809984,0.0002697064,0.001127223,0.0006149011,0.0004324703,0.003733843],"category_scores_gemma":[0.001236072,0.0001616191,0.000287229,0.001496737,0.0002238624,0.0009269945,0.0004171026,0.0002094269,0.001223523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000519444,"about_ca_system_score_gemma":0.0001621576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001791188,"about_ca_topic_score_gemma":0.001289233,"domain_scores_codex":[0.9994445,0.00003587905,0.00002478814,0.0000926218,0.0003302924,0.00007189396],"domain_scores_gemma":[0.9989082,0.0002251843,0.0001336996,0.00005866416,0.0006267445,0.000047495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002117181,0.0006511952,0.3671639,0.001387417,0.0003708078,0.002516008,0.00243944,0.1160154,0.2393648,0.005509204,0.005258449,0.2572062],"study_design_scores_gemma":[0.00003986411,0.004010019,0.5842637,0.0001179817,0.0002688748,0.003215999,0.006843847,0.1399347,0.2235267,0.001792252,0.03575319,0.0002328938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838149,0.0007437311,0.003112644,0.00004616833,0.00001375386,0.00002887438,0.0005621017,0.00009783198,0.01157998],"genre_scores_gemma":[0.9970446,0.0001436148,0.0003924984,0.000005750423,0.000005038078,0.000007641619,0.0005060158,0.00001775033,0.001877159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003733843,"threshold_uncertainty_score":0.01249093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006956842092906559,"score_gpt":0.1768342232417232,"score_spread":0.1698773811488166,"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."}}