{"id":"W2793321802","doi":"10.1016/j.ijhydene.2018.01.031","title":"Investigation of hydrogen production performance of a reactor assisted by a solar pond via photoelectrochemical process","year":2018,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Hydrogen production; Water splitting; Electrolysis of water; Hydrogen; Electrolysis; Materials science; Solar energy; Chemistry; Chemical engineering; Catalysis; Electrode; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0006746986,0.0002069169,0.000365885,0.0004088707,0.00003836887,0.0000174561,0.000699591,0.0001607674,0.000123828],"category_scores_gemma":[0.0003072491,0.0001924855,0.0001672722,0.0003994492,0.0002449552,0.0005158774,0.00004581489,0.0002003013,0.000004821521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001751133,"about_ca_system_score_gemma":0.0002192572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000141784,"about_ca_topic_score_gemma":0.00001455837,"domain_scores_codex":[0.9971751,0.0001917576,0.001168044,0.0002666375,0.0009841094,0.0002143563],"domain_scores_gemma":[0.9958948,0.00006385821,0.001573566,0.0002573004,0.002083935,0.0001264655],"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":[0.0005601987,0.0001305466,0.002117002,0.00002207325,0.0004123127,0.000003333542,0.0005156178,0.000189325,0.9903968,0.0001188354,0.0002163019,0.005317663],"study_design_scores_gemma":[0.0006007719,0.0003777786,0.0003428785,0.0001022052,0.00006164011,0.000403678,0.00002743065,0.002273244,0.9911873,0.001438847,0.00301947,0.0001647315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969527,0.0002332121,0.001657952,0.0002693816,0.0004601364,0.00006419389,0.00001138998,0.0000223591,0.0003286642],"genre_scores_gemma":[0.996325,0.00006592434,0.002662341,0.00008855033,0.0006186148,0.00001122291,0.00006058482,0.00003933358,0.0001284974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005152932,"threshold_uncertainty_score":0.7849331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771582914261971,"score_gpt":0.2740393020505795,"score_spread":0.2563234729079598,"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."}}