{"id":"W2561586833","doi":"10.1515/ijcre-2015-0094","title":"Graphitic Carbon Nitride-Titanium Dioxide Nanocomposite for Photocatalytic Hydrogen Production under Visible Light","year":2016,"lang":"en","type":"article","venue":"International Journal of Chemical Reactor Engineering","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"SiliCycle (Canada); Université Laval","funders":"","keywords":"Photocatalysis; Hydrogen production; Materials science; Water splitting; Graphitic carbon nitride; Nanocomposite; Hydrogen; Visible spectrum; Titanium dioxide; Chemical engineering; Carbon nitride; Hydrogen fuel; Nanotechnology; Catalysis; Composite material; Chemistry; Optoelectronics; Organic chemistry","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":[0.0001672434,0.0002022699,0.0002797315,0.0003203771,0.000005987712,0.00002104049,0.0004423961,0.00009767528,0.00001127953],"category_scores_gemma":[0.0004596054,0.0001548343,0.0002564412,0.0001502525,0.00002633343,0.0003355495,0.00004895505,0.0001614497,0.000003202539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004434733,"about_ca_system_score_gemma":0.00003682625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001611666,"about_ca_topic_score_gemma":0.000001522331,"domain_scores_codex":[0.9985033,0.000006098946,0.0005763441,0.0002185558,0.0004626976,0.0002330573],"domain_scores_gemma":[0.9987357,0.0002087729,0.0002920438,0.0001973941,0.0004422268,0.0001238765],"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":[0.0001380738,0.0000540536,0.00004860049,0.0000135382,0.0002670031,0.00001188066,0.00001834745,0.0003232299,0.9976586,0.0007776553,0.00003423304,0.0006547473],"study_design_scores_gemma":[0.000510262,0.00004026778,0.00001451354,0.0002782004,0.00005565756,0.0001332339,0.000003841319,0.0002586223,0.9915407,0.002636038,0.004335915,0.0001927853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979886,0.0001261799,0.0181368,0.0006318599,0.0006709462,0.0002302364,0.000007535882,0.0001219516,0.0001885222],"genre_scores_gemma":[0.9958174,0.00003940525,0.003215549,0.00002744477,0.0007597602,0.00004218631,0.000008657913,0.00005739851,0.00003218664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01593144,"threshold_uncertainty_score":0.6313959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007647726278954641,"score_gpt":0.2443463990118789,"score_spread":0.2366986727329243,"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."}}