{"id":"W2026223546","doi":"10.1016/j.ijhydene.2012.01.183","title":"Photo-electro-chemical chlorination of cuprous chloride with hydrochloric acid for hydrogen production","year":2012,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Atomic Energy of Canada Limited","keywords":"Hydrochloric acid; Chemistry; Disproportionation; Electrolysis; Hydrogen production; Hydrogen; Water splitting; Electrolysis of water; Electrochemistry; Inorganic chemistry; Chloride; Hydrogen chloride; Photochemistry; Photocatalysis; Catalysis; Electrode; Electrolyte; Organic chemistry; Physical chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001846553,0.0002325223,0.0002360055,0.0002363295,0.0002273787,0.0002279855,0.0004087301,0.0003853392,0.001186577],"category_scores_gemma":[0.000181547,0.0001825693,0.0002653869,0.0001611257,0.0002033242,0.0002241698,0.0002497361,0.000328698,0.00033544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003567464,"about_ca_system_score_gemma":0.0002379382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120442,"about_ca_topic_score_gemma":0.002005043,"domain_scores_codex":[0.9998654,0.0000190212,0.000009897986,0.00002142474,0.00004743563,0.00003682598],"domain_scores_gemma":[0.9999341,0.00001439559,0.00001468151,0.000008837182,0.00001909205,0.000008974823],"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":[0.0001616365,0.00000994679,0.00006218494,0.0001863531,0.000006535556,0.00005203531,0.00002515615,0.0001351402,0.9964742,0.00009845492,0.0002013363,0.002586974],"study_design_scores_gemma":[0.000006968748,0.00006695485,0.0002430548,0.000002368346,0.000005678946,0.00004106994,0.000009827164,0.0004009546,0.9984583,0.000008629318,0.0007516304,0.000004521191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838928,0.003542456,0.006815888,0.000328099,0.0001071411,0.00005145108,0.0001548905,0.0002761664,0.0048312],"genre_scores_gemma":[0.9969341,0.0004101341,0.001277178,0.00003608524,0.000007286483,0.000008463832,0.00005982855,0.00001162112,0.001255333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00120442,"threshold_uncertainty_score":0.003969491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127625318509534,"score_gpt":0.2645850901457938,"score_spread":0.2533088369606984,"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."}}