{"id":"W4391928512","doi":"10.1016/j.energy.2024.130747","title":"Development of a smart powering system with ammonia fuel cells and internal combustion engine for submarines","year":2024,"lang":"en","type":"article","venue":"Energy","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Internal combustion engine; Combustion; Fuel cells; Automotive engineering; Engineering; Propulsion; Environmental science; Aeronautics; Waste management; Aerospace engineering; Chemistry; Chemical 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":[0.0001149447,0.0002514077,0.0003686381,0.000186623,0.0002657872,0.0002425212,0.0005680274,0.0002543765,0.001006045],"category_scores_gemma":[0.00007401538,0.0001215362,0.0002393256,0.0001866987,0.0001239044,0.0004231421,0.0002245677,0.0001926785,0.0002655058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939548,"about_ca_system_score_gemma":0.0003331679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259588,"about_ca_topic_score_gemma":0.00173547,"domain_scores_codex":[0.999922,0.000005532748,0.000005296683,0.00002204391,0.00003388146,0.0000112935],"domain_scores_gemma":[0.9999664,0.000003115525,0.00000450334,0.000004965158,0.0000157697,0.000005270343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002257779,0.0001978785,0.004848975,0.000278744,0.00005237405,0.0004510951,0.0000924901,0.01634362,0.8483955,0.001372658,0.0008075955,0.1269333],"study_design_scores_gemma":[0.0001318386,0.001877588,0.0179362,0.00002727682,0.0001612839,0.0006848963,0.0001201771,0.224795,0.7341216,0.0006752664,0.01940648,0.00006241737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8719159,0.0004455024,0.1193631,0.0001210309,0.00008641179,0.0001838995,0.0001897224,0.001439043,0.006255377],"genre_scores_gemma":[0.9639058,0.0001525544,0.0330484,0.00003236103,0.00001254487,0.00006598564,0.0001326737,0.0000180796,0.002631576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001259588,"threshold_uncertainty_score":0.003365517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00834602519260965,"score_gpt":0.2088946321663088,"score_spread":0.2005486069736991,"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."}}