{"id":"W2973793451","doi":"10.1016/j.ifacol.2019.09.023","title":"From Off-line to On-line Control of a Multimode Power Split Hybrid Electric Vehicle Powertrain","year":2019,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Powertrain; Automotive engineering; Line (geometry); Power (physics); Electric cars; Electric vehicle; Electrical engineering; Engineering; Mathematics; 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":[0.0001844427,0.0004307248,0.0007174936,0.0003302075,0.00004055082,0.00002364851,0.0005078427,0.0001699857,0.0003698558],"category_scores_gemma":[0.0001500377,0.0004037156,0.0001864096,0.0005795068,0.00003882459,0.0001081109,0.00004969413,0.0005275057,0.0005660511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323754,"about_ca_system_score_gemma":0.00004446051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001427762,"about_ca_topic_score_gemma":0.00002163559,"domain_scores_codex":[0.9978226,0.00003071127,0.0005468376,0.000512976,0.0003874103,0.0006994644],"domain_scores_gemma":[0.9986466,0.0002912341,0.00009153604,0.0007051473,0.0001019617,0.0001635499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006019191,0.0004794083,0.001666395,0.00006891134,0.0004236408,0.00007603485,0.0003107147,0.05981085,0.840239,0.0004021245,0.0002022313,0.09571873],"study_design_scores_gemma":[0.004106872,0.00181301,0.003175188,0.0001248649,0.00007463603,0.00001317634,0.000127462,0.7532415,0.2345711,0.0002608752,0.001658674,0.0008325768],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898174,0.001469177,0.00446514,0.001161874,0.0002467868,0.0006549258,0.0003733383,0.0009309044,0.0008804479],"genre_scores_gemma":[0.9846338,0.0001260821,0.01387731,0.0006358342,0.0001593088,0.00002629755,0.00005688177,0.00009720255,0.0003872714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6934307,"threshold_uncertainty_score":0.9998415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007969440359824775,"score_gpt":0.2237235044173999,"score_spread":0.2157540640575751,"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."}}