{"id":"W2103155801","doi":"10.1109/ssst.2013.6524956","title":"Intelligent hybrid vehicle management systems","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Software deployment; Hybrid vehicle; Systems engineering; Hybrid system; Computer science; System integration; Focus (optics); Systems design; Software; Functional requirement; Embedded system; Control engineering; Engineering; Software engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008157452,0.0005715545,0.0004903177,0.0006367395,0.000790273,0.002197093,0.00151107,0.0008983351,0.006707633],"category_scores_gemma":[0.0009484912,0.000246408,0.0003185549,0.0005438511,0.000502507,0.00191783,0.001786943,0.0005680215,0.002051911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007584015,"about_ca_system_score_gemma":0.0006897144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001352238,"about_ca_topic_score_gemma":0.001393939,"domain_scores_codex":[0.9994231,0.0001049738,0.00004239053,0.0001317858,0.0002312281,0.00006642409],"domain_scores_gemma":[0.9996219,0.00008769657,0.00004047914,0.00007296668,0.0001445337,0.00003235901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002446781,0.0001977562,0.00238341,0.000477498,0.0001001444,0.0006288936,0.0006487491,0.1176389,0.01929455,0.233864,0.02739113,0.5971303],"study_design_scores_gemma":[0.00009583082,0.0003383742,0.001201241,0.000117095,0.000110146,0.0004679751,0.0003056359,0.5441599,0.01312101,0.07400386,0.3660039,0.0000749917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02379123,0.003106837,0.874644,0.00110068,0.0005279816,0.0003267889,0.0002693458,0.005619254,0.09061387],"genre_scores_gemma":[0.6911931,0.00333776,0.2413489,0.0007178936,0.0004589203,0.0006195202,0.001365878,0.0002418231,0.06071617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006707633,"threshold_uncertainty_score":0.0224393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03424551270860739,"score_gpt":0.2630307170148039,"score_spread":0.2287852043061965,"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."}}