{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009590549,0.0002002505,0.0001600535,0.0002433061,0.0001401169,0.0002667076,0.000324102,0.0003198592,0.0009169561],"category_scores_gemma":[0.000149868,0.0002227931,0.0001137766,0.000201012,0.0001141923,0.0003192739,0.0001511801,0.0003155163,0.0003450456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000249934,"about_ca_system_score_gemma":0.0001166498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002777398,"about_ca_topic_score_gemma":0.001251039,"domain_scores_codex":[0.9998808,0.00001057442,0.0000072595,0.00002477558,0.00006084725,0.00001583153],"domain_scores_gemma":[0.9999416,0.00001372222,0.000009854471,0.000007191761,0.00001720288,0.00001046466],"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":[0.000008402268,0.000006278321,0.00003262486,0.00001586819,0.000001523973,0.00001710579,0.000004932208,0.00006009737,0.9983334,0.00007162178,0.00007119025,0.001376935],"study_design_scores_gemma":[0.000002710905,0.00004851239,0.0004436127,0.000001511094,0.000003825764,0.00006763961,0.00000591145,0.00173054,0.9969336,0.00002455034,0.0007344882,0.000003115231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590222,0.001785644,0.03255109,0.0002872777,0.0001466347,0.00007230783,0.0004212287,0.0004452498,0.005268428],"genre_scores_gemma":[0.972772,0.0007990505,0.01969521,0.00005615423,0.00002519769,0.00004192355,0.0002448134,0.00003159453,0.006334036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009169561,"threshold_uncertainty_score":0.003067553,"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."}}