{"id":"W4248567271","doi":"10.1016/s1464-2859(18)30076-2","title":"Siemens wins BMVI funding to develop fuel cell train with Ballard","year":2018,"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":"Siemens; Train; Christian ministry; Engineering; German; Fuel cells; Engineering management; Transport engineering; Management; Telecommunications; Electrical engineering; Political science; Geography; Cartography; Chemical 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":[0.002253187,0.001380667,0.0007782028,0.002265109,0.001554958,0.002406992,0.001099518,0.001884304,0.2356966],"category_scores_gemma":[0.002470173,0.0006557314,0.0007033328,0.001217126,0.0005998662,0.001744465,0.001693425,0.001756088,0.1195641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002937526,"about_ca_system_score_gemma":0.006405833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02305876,"about_ca_topic_score_gemma":0.03533237,"domain_scores_codex":[0.9974727,0.0001636562,0.00005969271,0.0002936469,0.001670434,0.0003398596],"domain_scores_gemma":[0.9976132,0.0001652671,0.00004784997,0.0001930862,0.0009922147,0.0009884642],"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":[0.0002856934,0.0001774655,0.0006992998,0.0001994322,0.00002543883,0.0001728177,0.000115833,0.0005074472,0.007902932,0.02136755,0.794023,0.1745231],"study_design_scores_gemma":[0.00002670946,0.00006305381,0.0003902342,0.00001589861,0.00000602246,0.00009903734,0.00002157582,0.0004664416,0.003128971,0.0006054317,0.9951701,0.000006642851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01657279,0.007596025,0.02032154,0.01921412,0.00745581,0.0005968521,0.01356091,0.01961232,0.8950695],"genre_scores_gemma":[0.03179166,0.002215508,0.01165416,0.001186832,0.0003151082,0.0001247896,0.01406873,0.002683935,0.9359594],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2356966,"threshold_uncertainty_score":0.7884837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007982636074524005,"score_gpt":0.1843081307002445,"score_spread":0.1763254946257205,"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."}}