{"id":"W4200360123","doi":"10.1016/b978-0-323-85176-3.00015-9","title":"Wind Energy-Based Hydrogen Production","year":2021,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Wind power; Offshore wind power; Electricity generation; Turbine; Environmental science; Fossil fuel; Renewable energy; Sea breeze; Hydrogen production; Marine engineering; Engineering; Meteorology; Hydrogen; Power (physics); Mechanical engineering; Waste management; Electrical engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003249202,0.0009498678,0.001116944,0.000370211,0.0002072646,0.00008824381,0.000495441,0.000778851,0.001160625],"category_scores_gemma":[0.00004600202,0.0009689254,0.0006478067,0.00005009123,0.0001785659,0.00006519096,0.0001505773,0.0004973137,0.0003927581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004281088,"about_ca_system_score_gemma":0.0006762794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000743313,"about_ca_topic_score_gemma":0.001417259,"domain_scores_codex":[0.9960021,0.0001475537,0.0009489326,0.001388131,0.0008815945,0.0006316902],"domain_scores_gemma":[0.9969454,0.00005588275,0.0005495535,0.001868849,0.0002887603,0.0002915645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002448124,0.00002450916,0.000002258988,0.0001850945,0.0005136309,0.0003842057,0.00004668056,0.00743425,0.001668483,0.03801611,0.0008175487,0.9508827],"study_design_scores_gemma":[0.0003282552,0.00004260842,5.791311e-7,0.000875032,0.0002061836,0.0000969126,0.000005743019,0.00007618972,0.02147206,0.003041962,0.9728715,0.0009829639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001664595,0.003499185,0.000009265782,0.0001114609,0.002602255,0.0002756111,0.0000249228,0.000366221,0.9929446],"genre_scores_gemma":[0.006265006,0.00006883658,0.0001611373,0.0004211346,0.003693218,0.00007886039,0.0004323757,0.0004565422,0.9884229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9720539,"threshold_uncertainty_score":0.9997525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400227730778759,"score_gpt":0.2097993901077985,"score_spread":0.1957971128000109,"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."}}