{"id":"W4407094957","doi":"10.1039/d4se01768d","title":"Copper( <scp>i</scp> ) bis(diimine) sensitized titania nanotube array photoelectrodes for photoelectrochemical water oxidation","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy & Fuels","topic":"TiO2 Photocatalysis and Solar Cells","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Centre québécois sur les matériaux fonctionnels; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Diimine; Copper; Photoelectrochemistry; Photocatalysis; Nanotube; Materials science; Anodic oxidation; Photoelectrochemical cell; Photochemistry; Chemistry; Chemical engineering; Nanotechnology; Electrochemistry; Electrode; Catalysis; Carbon nanotube; Metallurgy; Electrolyte; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005788853,0.0005974974,0.0007745579,0.0004746565,0.0005479078,0.0002671209,0.00046008,0.0004536649,0.0001700884],"category_scores_gemma":[0.0004392203,0.0005124547,0.0004680163,0.0007921035,0.00009882014,0.0003523699,0.0001272794,0.0002746559,0.00003903153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005479637,"about_ca_system_score_gemma":0.0003758006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282342,"about_ca_topic_score_gemma":0.0002693195,"domain_scores_codex":[0.9959524,0.000153991,0.0007140886,0.0009811674,0.0003785826,0.001819829],"domain_scores_gemma":[0.9975995,0.0004938307,0.0001464309,0.0008138294,0.0007433159,0.0002031362],"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":[0.0001448544,0.0001557646,0.00001007106,0.0001955143,0.0003058951,0.00002769669,0.0003650162,0.0002014475,0.9223346,0.06036675,0.01545735,0.0004350246],"study_design_scores_gemma":[0.001009497,0.0001058658,0.000005037364,0.00001792146,0.0001253046,0.000006051568,0.001380495,0.0001291827,0.6101505,0.009209715,0.3776824,0.0001780322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8786281,0.00105022,0.01852676,0.0003655279,0.0003480266,0.0009873728,0.00001459275,0.0005250399,0.09955439],"genre_scores_gemma":[0.8594112,0.0001084137,0.0005594971,0.001012303,0.0002364351,0.0006170264,0.0007841486,0.0001066281,0.1371644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.362225,"threshold_uncertainty_score":0.9997327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005130884670001694,"score_gpt":0.2169180372878294,"score_spread":0.2117871526178277,"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."}}