{"id":"W4404935928","doi":"10.1016/j.mtcomm.2024.111190","title":"Enhanced photocatalytic H2 generation via in-situ grown CuO-decorated TiO2 nanotubes on Ti-Cu alloys: A synergistic thermo-electrochemical approach","year":2024,"lang":"en","type":"article","venue":"Materials Today Communications","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Materials science; Photocatalysis; Electrochemistry; In situ; Chemical engineering; Nanotechnology; Metallurgy; Electrode; Catalysis; Physical chemistry; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004862611,0.0004343136,0.0005369188,0.0003693325,0.0002236603,0.0002599301,0.001223051,0.0002739423,0.0002374418],"category_scores_gemma":[0.0001285082,0.0004169386,0.0001143888,0.0008817852,0.0002071731,0.0003080874,0.0003270372,0.0003757276,0.0003315567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004152055,"about_ca_system_score_gemma":0.0001078399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005488901,"about_ca_topic_score_gemma":0.0006404672,"domain_scores_codex":[0.9972757,0.0004206126,0.0008780377,0.0006851254,0.0002771352,0.000463351],"domain_scores_gemma":[0.9967597,0.000283229,0.0001650559,0.002583315,0.0001170008,0.0000917225],"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":[0.00005301525,0.0003505926,5.682087e-7,0.00006120834,0.00008008749,0.000003717047,0.0004786538,0.000175476,0.9820003,0.01531018,0.0002867382,0.001199481],"study_design_scores_gemma":[0.0002436685,0.0000789501,0.00001858838,0.0001538963,0.00007319429,0.00001007423,0.0000326111,0.007282863,0.9850531,0.003714103,0.002898994,0.0004399506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8756598,0.001267086,0.05773414,0.0007192694,0.0004118321,0.002931427,0.00008338669,0.002540674,0.05865234],"genre_scores_gemma":[0.9855363,0.0003502489,0.007666331,0.000173174,0.0001382264,0.002637456,0.002864431,0.0001249686,0.0005088709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1098764,"threshold_uncertainty_score":0.9998282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754984405875754,"score_gpt":0.2873868427285006,"score_spread":0.2598369986697431,"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."}}