{"id":"W4244112115","doi":"10.1016/s1464-2859(18)30416-4","title":"Hydrogenics to supply large PEM electrolyser for German fuel station","year":2018,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"German; Proton exchange membrane fuel cell; Nuclear engineering; Engineering; Fuel cells; Environmental science; Forensic engineering; Waste management; Operations research; Electrical engineering; History; 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":[0.0002129694,0.0006826851,0.0002040733,0.0006654965,0.001073937,0.0004169553,0.0004707295,0.0003690789,0.01104863],"category_scores_gemma":[0.0001621899,0.0001760846,0.0001642425,0.00106309,0.0001940784,0.0003333865,0.0003212867,0.0004979503,0.003017287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002089712,"about_ca_system_score_gemma":0.00275668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1073606,"about_ca_topic_score_gemma":0.1648457,"domain_scores_codex":[0.999798,0.000008325861,0.000005134744,0.00002904537,0.000116825,0.00004266418],"domain_scores_gemma":[0.9998724,0.00000554677,0.000003699878,0.00001037742,0.00009330123,0.00001459855],"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":[0.0006296782,0.0002185075,0.003935969,0.0007922719,0.00004237657,0.0004527761,0.0003093162,0.006127893,0.6476204,0.007861552,0.09163436,0.2403749],"study_design_scores_gemma":[0.0001472656,0.0003337777,0.009279525,0.00003593661,0.00004577098,0.0004191081,0.0001915647,0.004931565,0.4884683,0.0004309977,0.4956884,0.00002768087],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5052149,0.006636691,0.1040263,0.002579987,0.001274413,0.002275074,0.02171392,0.01606413,0.3402145],"genre_scores_gemma":[0.8033009,0.00237677,0.03427164,0.0005338528,0.0001005954,0.0003448506,0.01037573,0.000616864,0.1480789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1073606,"threshold_uncertainty_score":0.2134714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008354775024665745,"score_gpt":0.2463225401223552,"score_spread":0.2379677650976894,"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."}}