{"id":"W2111455845","doi":"10.1149/06403.0011ecst","title":"(Plenary) FCEV Development at Nissan","year":2014,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ford Motor Company (Canada)","funders":"","keywords":"Penetration (warfare); Automotive engineering; Engineering; Materials science; Operations research","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":[],"consensus_categories":[],"category_scores_codex":[0.00003395041,0.00009541358,0.00008014833,0.00004596294,0.0001549276,0.0000120735,0.00006739784,0.00006048303,0.0008608828],"category_scores_gemma":[0.000001074569,0.00009353721,0.00003705106,0.0001215122,0.00001043981,0.00005984231,0.000001627273,0.0001342313,0.0001427783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007712581,"about_ca_system_score_gemma":0.000009737716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002977778,"about_ca_topic_score_gemma":0.00003006236,"domain_scores_codex":[0.9995179,0.000006679085,0.0001170215,0.00009231981,0.00008057281,0.0001855274],"domain_scores_gemma":[0.999784,0.00001557642,0.00000756048,0.0001131642,0.0000108842,0.00006884155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001647494,0.00008197899,0.0007831507,0.0001771958,0.0002980496,0.000005861106,0.002362376,0.3428085,0.07341916,0.0007024773,0.03340293,0.5459419],"study_design_scores_gemma":[0.0002730398,0.00002841592,0.006263141,0.00001104277,0.00001784501,0.00001822819,0.0000163043,0.03307318,0.09186108,0.0001550199,0.8680201,0.0002625791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.346038,0.0002316274,0.6132197,0.0002076235,0.000608512,0.0001226305,0.000006399489,0.0007127028,0.03885277],"genre_scores_gemma":[0.9939284,0.00002367375,0.004692607,0.00004019297,0.0000632901,0.00001292256,0.000005612122,0.00002310219,0.001210184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8346172,"threshold_uncertainty_score":0.9426063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004315027308769597,"score_gpt":0.1680937435447472,"score_spread":0.1637787162359776,"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."}}