{"id":"W3011522071","doi":"10.4271/2020-37-0015","title":"Multitarget Evaluation of Hybrid Electric Vehicle Powertrain Architectures Considering Fuel Economy and Battery Lifetime","year":2020,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Powertrain; Automotive engineering; Battery (electricity); Electric vehicle; Computer science; Environmental science; Engineering; Power (physics); Torque","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006606963,0.0006458891,0.0008650698,0.000329701,0.000141447,0.00006783449,0.0007777064,0.0003956867,0.0003618418],"category_scores_gemma":[0.001862186,0.000623876,0.0002219286,0.0006753273,0.0007742159,0.0003192309,0.0004552967,0.001505639,0.00004339701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002771874,"about_ca_system_score_gemma":0.00008586058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006607909,"about_ca_topic_score_gemma":0.001599497,"domain_scores_codex":[0.9962537,0.0001370923,0.0009407351,0.0009481593,0.0008128536,0.0009074017],"domain_scores_gemma":[0.9978574,0.0006547927,0.0001328662,0.000872927,0.0001385333,0.000343462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001502033,0.00007260319,0.0002150749,0.0002029296,0.00006272024,0.00003292499,0.00003279308,0.004086444,0.9744327,0.0004059031,0.0008631115,0.0194426],"study_design_scores_gemma":[0.002231714,0.001760099,0.9533786,0.0002854723,0.0001451056,0.0001751935,0.0001535619,0.0002680003,0.01545702,0.01282746,0.01191043,0.001407394],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779501,0.002059012,0.0000267605,0.003539195,0.00008066132,0.001350455,0.00006438116,0.003410805,0.01151862],"genre_scores_gemma":[0.9931241,0.0003268703,0.004966291,0.001051481,0.00007610169,0.000283016,0.00002063439,0.000142102,0.000009353975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9589757,"threshold_uncertainty_score":0.9996213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866671768764915,"score_gpt":0.2591561109739371,"score_spread":0.2404893932862879,"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."}}