{"id":"W3189565541","doi":"10.14447/jnmes.v24i2.a01","title":"PEM Fuel Cell Hydrogen Support Using PV-Electrolyzer Generation System","year":2021,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche","keywords":"Polymer electrolyte membrane electrolysis; Renewable energy; Power to gas; Electrolysis; Electrolysis of water; Hydrogen production; Alkaline water electrolysis; Environmental science; Hydrogen fuel; Energy carrier; Photovoltaic system; Proton exchange membrane fuel cell; Electricity; Process engineering; Waste management; Hydrogen; Electrolyte; Chemistry; Engineering; Fuel cells; Chemical engineering; Electrical engineering; Electrode","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001231416,0.0004555405,0.001334539,0.0001850915,0.0001315557,0.0003464903,0.000421613,0.0003783148,0.000108075],"category_scores_gemma":[0.0001601275,0.000406745,0.0004213243,0.0003263271,0.00002251769,0.0003102255,0.00005223964,0.000197187,0.00002571573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281834,"about_ca_system_score_gemma":0.001313265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004972321,"about_ca_topic_score_gemma":0.00003381869,"domain_scores_codex":[0.9951903,0.0003679359,0.002169741,0.0004680654,0.0009234163,0.0008805763],"domain_scores_gemma":[0.9964852,0.000091995,0.001513264,0.0004341283,0.001038998,0.0004364306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001752801,0.00007305631,0.000008201759,0.0007919192,0.0002680246,0.0001095552,0.00007385344,0.00721476,0.9855372,0.001058655,0.004666896,0.00002257774],"study_design_scores_gemma":[0.001715318,0.0002708235,6.481388e-7,0.0001992407,0.0002406185,0.005210007,0.0001221169,0.003804012,0.9554654,0.00008542866,0.03248908,0.000397293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791301,0.00354026,0.01131924,0.00007525069,0.003944515,0.0003993867,0.00002218912,0.00009616477,0.001472874],"genre_scores_gemma":[0.9872866,0.00007569205,0.0005690176,0.00005113544,0.009730543,0.00002831261,0.0001054194,0.0001435717,0.002009729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0300718,"threshold_uncertainty_score":0.9998384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02308449412194515,"score_gpt":0.2445576429560427,"score_spread":0.2214731488340975,"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."}}