{"id":"W1596304411","doi":"10.2172/834509","title":"REDUCING ULTRA-CLEAN TRANSPORTATION FUEL COSTS WITH HYMELT HYDROGEN","year":2004,"lang":"en","type":"report","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Procurement; Work (physics); Quarter (Canadian coin); Environmental science; Waste management; Transport engineering; Engineering; Nuclear engineering; Business; Mechanical engineering; Geography; Archaeology","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":[0.0003021841,0.0002069212,0.0001419826,0.0005135089,0.0002778728,0.0006357296,0.000624695,0.0003429521,0.009862305],"category_scores_gemma":[0.0004376172,0.00008513338,0.0002343382,0.0005435945,0.0001230618,0.0009631903,0.0004826931,0.0003251496,0.001703802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004214299,"about_ca_system_score_gemma":0.0007302243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002243196,"about_ca_topic_score_gemma":0.005729195,"domain_scores_codex":[0.9996889,0.0000289579,0.000007532424,0.00002293255,0.0002020459,0.00004981571],"domain_scores_gemma":[0.9998348,0.00003314886,0.0000260919,0.00002943798,0.00005927814,0.00001728008],"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":[0.001756634,0.00111505,0.0139762,0.000954617,0.0001108187,0.0005308326,0.0003224032,0.008677488,0.2260981,0.01717715,0.03438343,0.6948973],"study_design_scores_gemma":[0.0001017482,0.001256562,0.0288296,0.00006754298,0.00008460354,0.0004718181,0.0004197698,0.004277934,0.8066956,0.002928541,0.1548348,0.00003142548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7676322,0.004398461,0.04732198,0.002691297,0.0003525737,0.0006333523,0.003478513,0.00131102,0.1721806],"genre_scores_gemma":[0.8827566,0.003701957,0.02561426,0.0002385926,0.0000664309,0.000210264,0.003473901,0.0002303608,0.08370774],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009862305,"threshold_uncertainty_score":0.03299272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278449976958882,"score_gpt":0.2301660357465501,"score_spread":0.2173815359769613,"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."}}