{"id":"W4249061123","doi":"10.1016/s1464-2859(19)30008-2","title":"Ballard order from Porterbrook to power HydroFlex train in UK","year":2019,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Power (physics); Engineering; Fuel cells; Operations research; Electrical engineering; Telecommunications; Automotive engineering; Business; Finance; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001741865,0.0002781483,0.0003691292,0.0001187415,0.00001437677,0.00005940606,0.0002412103,0.0002645929,0.03034113],"category_scores_gemma":[0.00000846189,0.0002661623,0.00006964348,0.0001346913,0.00001389817,0.00002360531,0.0000592789,0.0002376088,0.01823325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006357603,"about_ca_system_score_gemma":0.0000143353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001800678,"about_ca_topic_score_gemma":0.00002103568,"domain_scores_codex":[0.9985516,0.00003381696,0.0004032531,0.0003521978,0.0001934187,0.0004657251],"domain_scores_gemma":[0.9993731,0.0000510122,0.00003137308,0.0003783031,0.00001822448,0.0001479445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001349711,0.0001551938,0.000558502,0.0008034914,0.000149845,0.0002916676,0.002293467,0.09966148,0.6651813,0.00006459312,0.2304215,0.0002840294],"study_design_scores_gemma":[0.001059106,0.00009715008,0.0005138744,0.0001389099,0.00001367182,0.000003393205,0.00009937507,0.0007651037,0.02868103,0.0001990969,0.9678098,0.0006194584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6919675,0.002003181,0.0000590096,0.0005652616,0.002971463,0.0005965149,0.00005949257,0.0002694006,0.3015082],"genre_scores_gemma":[0.9909039,0.000384892,0.001917159,0.0006895732,0.0001173024,0.00002024041,0.00003884328,0.00009887187,0.005829181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7373883,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003107059353369735,"score_gpt":0.1674995034479505,"score_spread":0.1643924440945808,"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."}}