{"id":"W2206910269","doi":"10.4271/2010-01-0854","title":"Investigating the Optimum Practical Hydrogen Working Pressure for Gaseous Hydrogen Fueled Vehicles","year":2010,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Powertech Labs (Canada)","funders":"","keywords":"Hydrogen; Hydrogen vehicle; Computer science; Environmental science; Hydrogen fuel; Automotive engineering; Nuclear engineering; Engineering; Chemistry","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":[0.00157458,0.0002663136,0.0004624709,0.0005327155,0.0004532367,0.0009445398,0.0009375754,0.0007172962,0.001112957],"category_scores_gemma":[0.002687918,0.0003005677,0.0002860051,0.0005204166,0.0003783942,0.00157737,0.0004227537,0.0004000808,0.0003264268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005736008,"about_ca_system_score_gemma":0.0005416845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248977,"about_ca_topic_score_gemma":0.002020374,"domain_scores_codex":[0.9991367,0.000196593,0.00005055541,0.0001165168,0.0004005398,0.00009911759],"domain_scores_gemma":[0.9987459,0.0007003237,0.0001295525,0.00005954769,0.0003343174,0.00003032224],"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":[0.003243973,0.001323653,0.03853549,0.002702645,0.0000905846,0.001481911,0.001139714,0.2253564,0.531104,0.005968871,0.002442275,0.1866105],"study_design_scores_gemma":[0.00012446,0.008956759,0.03725802,0.0001895946,0.0001362983,0.0005225416,0.003427444,0.212131,0.7221618,0.00311931,0.01185147,0.0001212969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677464,0.001119402,0.02475444,0.0002163404,0.00003162304,0.0001200483,0.0002429913,0.00007007005,0.005698826],"genre_scores_gemma":[0.9927813,0.0004225777,0.006187592,0.000008984006,0.000008345378,0.00003845818,0.0001145153,0.00001402927,0.0004242197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00157458,"threshold_uncertainty_score":0.008327246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179779490237929,"score_gpt":0.2643095499542173,"score_spread":0.2463316009304244,"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."}}