{"id":"W2603745997","doi":"10.4122/dtu:206","title":"Pneumatic Regenerative Braking System for Vehicle","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automotive engineering; Compressed air; Limiting; Brake; Engine braking; Engineering; Fossil fuel; Work (physics); Air compressor; Gas compressor; Efficient energy use; Fuel efficiency; Mechanical engineering; Waste management; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000210721,0.0006145141,0.0003930407,0.0008189193,0.0005449688,0.0006047454,0.001076442,0.0005593664,0.04340895],"category_scores_gemma":[0.0002842631,0.0002051481,0.0003613592,0.0002741254,0.0001655912,0.0006720508,0.0006324352,0.000433253,0.01500394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002659078,"about_ca_system_score_gemma":0.0004608764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001311219,"about_ca_topic_score_gemma":0.001581636,"domain_scores_codex":[0.9995592,0.00002657608,0.00003132135,0.00008203053,0.0002548591,0.00004590429],"domain_scores_gemma":[0.9997972,0.00001833013,0.00001976863,0.0000355506,0.0001131873,0.00001594382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007293281,0.0002846412,0.002865974,0.001437891,0.0000673361,0.0006701556,0.0002361184,0.006815698,0.2413621,0.006251397,0.05836225,0.6809172],"study_design_scores_gemma":[0.0002920639,0.002108924,0.01280771,0.0003237143,0.000185303,0.003629712,0.0002618737,0.1501199,0.25618,0.002776786,0.5710563,0.0002576318],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1201817,0.005833889,0.4732563,0.001889938,0.003104181,0.001751638,0.003447325,0.05783828,0.3326967],"genre_scores_gemma":[0.7988344,0.0009689111,0.02701891,0.0006437625,0.0001806023,0.0004314052,0.002190393,0.0002938751,0.1694377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04340895,"threshold_uncertainty_score":0.1452174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824018634208966,"score_gpt":0.2047406607732011,"score_spread":0.1865004744311114,"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."}}