{"id":"W4229705119","doi":"10.1016/s1464-2859(09)70344-x","title":"Hydrogenics fuel cells for Vision trucks","year":2009,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Fuel cells; Engineering; Heavy duty; Automotive engineering; Transport engineering; Zero emission; Aeronautics; 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":[0.0003831046,0.0004232038,0.0001994326,0.0006859932,0.001248859,0.0009282933,0.0005773176,0.0006390148,0.03307765],"category_scores_gemma":[0.0002697316,0.0002098819,0.000172435,0.0004755652,0.0001895234,0.0006677289,0.0004355656,0.0008128847,0.01197583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002023706,"about_ca_system_score_gemma":0.003234464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0644434,"about_ca_topic_score_gemma":0.1773937,"domain_scores_codex":[0.9996334,0.000009709242,0.000005057131,0.00002230092,0.0002824389,0.00004716564],"domain_scores_gemma":[0.9997928,0.000005858955,0.000005505785,0.000009474114,0.0001489445,0.00003744548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001895241,0.0001883122,0.0005853983,0.0002561443,0.000006516983,0.0001300807,0.0001159507,0.000449606,0.04997606,0.01101835,0.6960903,0.2409936],"study_design_scores_gemma":[0.00001902312,0.00007894736,0.0008646234,0.00002254151,0.000003132901,0.00005752643,0.00005581899,0.0003057224,0.009764754,0.0005106732,0.9883106,0.00000664177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03441512,0.01816223,0.01637044,0.01659535,0.004311441,0.0006834231,0.004152104,0.004410935,0.9008991],"genre_scores_gemma":[0.06701072,0.01129457,0.006182313,0.001086082,0.0003544384,0.00007379345,0.004107332,0.0002745187,0.9096162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0644434,"threshold_uncertainty_score":0.1281366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004683889039205556,"score_gpt":0.1954184162980019,"score_spread":0.1907345272587964,"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."}}