{"id":"W3090282214","doi":"10.1016/j.nanoen.2020.105416","title":"Efficient and stable photoelectrochemical hydrogen generation using optimized colloidal heterostructured quantum dots","year":2020,"lang":"en","type":"article","venue":"Nano Energy","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; University of Electronic Science and Technology of China; Canada Research Chairs; Natural Science Foundation of Shandong Province; Fonds de recherche du Québec – Nature et technologies; United Nations Educational, Scientific and Cultural Organization","keywords":"Materials science; Quantum dot; Photocurrent; Optoelectronics; Absorption (acoustics); Band gap; Delocalized electron; Semiconductor; Nanotechnology; Electron; Water splitting; Composite material; Photocatalysis","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":[0.0001017806,0.0001591852,0.0001680295,0.00009489544,0.000122181,0.0003094935,0.000198877,0.0002808226,0.0005449698],"category_scores_gemma":[0.0001211554,0.0001478575,0.00006990963,0.000126408,0.0001501174,0.0002188977,0.00016803,0.0002556869,0.0001647194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004537092,"about_ca_system_score_gemma":0.0001795946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007589972,"about_ca_topic_score_gemma":0.00218937,"domain_scores_codex":[0.9999309,0.000005750352,0.000003743228,0.0000187799,0.00002940772,0.00001142918],"domain_scores_gemma":[0.9999495,0.00001224453,0.000007437184,0.000007236345,0.00001649384,0.000007215987],"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":[0.0000282064,0.00001783537,0.0001429943,0.00002117516,0.000003646145,0.00001575122,0.00001171905,0.0005948682,0.9969084,0.0004888446,0.00009586715,0.001670702],"study_design_scores_gemma":[0.000009910405,0.00002948782,0.0003115944,9.485698e-7,0.000002734471,0.00001197075,0.000007887284,0.008333329,0.9904016,0.00005608783,0.000829701,0.000004908501],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987758,0.0004132393,0.009365367,0.0001108057,0.00004238819,0.00002007326,0.0001291753,0.0001316764,0.002029272],"genre_scores_gemma":[0.9948231,0.00009881539,0.004082535,0.0000112456,0.000002416549,0.00001024237,0.00005121183,0.00001687776,0.0009035499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007589972,"threshold_uncertainty_score":0.003291905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02852110090538751,"score_gpt":0.219723397740669,"score_spread":0.1912022968352815,"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."}}