{"id":"W1986332602","doi":"10.4271/2013-01-1521","title":"Impact of Temperature on the A123 Li-Ion Battery Performance and Hybrid Electric Vehicle Range","year":2013,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Range (aeronautics); Battery (electricity); Ion; Automotive engineering; Electric vehicle; Atmospheric temperature range; Materials science; Electrical engineering; Computer science; Engineering; Chemistry; Physics; Composite material; Thermodynamics; Power (physics)","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003857105,0.0007392769,0.0007698737,0.0003443479,0.0002971178,0.0001163571,0.001187468,0.0006217944,0.0004935296],"category_scores_gemma":[0.0005561942,0.0004907294,0.0003154116,0.001077333,0.0008438162,0.0006354805,0.0003956801,0.002368667,0.0001606521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004002435,"about_ca_system_score_gemma":0.00004599084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000223103,"about_ca_topic_score_gemma":0.0006490952,"domain_scores_codex":[0.996488,0.0001029783,0.0007340797,0.0007702047,0.0007895536,0.001115223],"domain_scores_gemma":[0.9972136,0.0007546716,0.0001173091,0.00156287,0.000122357,0.0002291654],"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":[0.0001395546,0.0001278584,0.001200131,0.00008346306,0.00005908143,0.00001372107,0.000009359289,0.0002796951,0.9792487,0.000339623,0.007533125,0.01096568],"study_design_scores_gemma":[0.0004563016,0.00205715,0.9891987,0.000222409,0.00002020611,0.00007492897,0.00002946516,0.000008839899,0.005428001,0.0006408776,0.001330015,0.0005330644],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880012,0.0004478699,4.815908e-7,0.002228076,0.0000849069,0.001216785,0.00003634023,0.002267573,0.005716788],"genre_scores_gemma":[0.9966683,0.00171505,0.0002361629,0.0004743777,0.00008276471,0.0005180274,0.00001420043,0.0001470783,0.0001440804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9879986,"threshold_uncertainty_score":0.9999329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009201398071492829,"score_gpt":0.2385653806018438,"score_spread":0.229363982530351,"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."}}