{"id":"W4235741195","doi":"10.1016/s1464-2859(15)30023-7","title":"Hydrogenics 1 MW PEM electrolyser for European consortium","year":2015,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon footprint; Power to gas; Renewable energy; Electricity; Waste management; Engineering; Power station; Electricity generation; Environmental science; Coal; Greenhouse gas; Process engineering; Power (physics); Chemistry; 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":[0.001481252,0.0009407394,0.0004289134,0.001519363,0.001369646,0.001282623,0.001034208,0.001244721,0.05069365],"category_scores_gemma":[0.001072657,0.0002975125,0.0003639528,0.001235217,0.0002638293,0.00120556,0.0009969129,0.001140755,0.01131156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002446634,"about_ca_system_score_gemma":0.004711059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02480082,"about_ca_topic_score_gemma":0.03316357,"domain_scores_codex":[0.9988337,0.00007471399,0.00002274339,0.0001869997,0.0007111793,0.0001706654],"domain_scores_gemma":[0.9987508,0.00005641225,0.00003578361,0.00009420032,0.0008777689,0.0001850648],"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":[0.001037816,0.0004948326,0.003139071,0.000548004,0.0000814446,0.0006813162,0.000283191,0.002056553,0.09103431,0.02537673,0.4745401,0.4007266],"study_design_scores_gemma":[0.0001253764,0.0001850426,0.004368054,0.0000404041,0.00003108167,0.0004070622,0.0001146595,0.002084441,0.05013565,0.0008564894,0.9416301,0.00002175679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08189441,0.009489271,0.03429956,0.009405284,0.002399954,0.000664367,0.0165147,0.009110591,0.8362219],"genre_scores_gemma":[0.2862852,0.004391452,0.02175658,0.001352462,0.0003166769,0.0002309689,0.02901223,0.001260785,0.6553937],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05069365,"threshold_uncertainty_score":0.1695872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158138824596599,"score_gpt":0.2220968667871426,"score_spread":0.2005154785411766,"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."}}