{"id":"W4405826950","doi":"10.1016/j.esci.2024.100370","title":"Unraveling the dipole field in ultrathin, porous, and defective carbon nitride nanosheets for record-high piezo-photocatalytic H2O2 production","year":2024,"lang":"en","type":"article","venue":"eScience","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China; China Association for Science and Technology","keywords":"Photocatalysis; Materials science; Carbon nitride; Graphitic carbon nitride; Nitride; Dipole; Porosity; Nanotechnology; Field (mathematics); Production (economics); Chemical engineering; Optoelectronics; Composite material; Chemistry; Catalysis; Engineering; Layer (electronics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006311083,0.0001350717,0.00007638771,0.00009094504,0.00007986394,0.0001463725,0.000170504,0.000241874,0.0003010431],"category_scores_gemma":[0.00009822904,0.0001099663,0.00009641744,0.00005446386,0.000211539,0.0002281988,0.000164715,0.0002812891,0.00006527308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741244,"about_ca_system_score_gemma":0.0001219452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000325514,"about_ca_topic_score_gemma":0.0009981167,"domain_scores_codex":[0.9999499,0.000003491589,0.000003395297,0.000009677339,0.00002220025,0.00001133214],"domain_scores_gemma":[0.9999533,0.00001092749,0.00001282523,0.000005518872,0.000008128239,0.000009311938],"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":[0.00001144875,0.0000063213,0.0001263791,0.00003030719,0.000002096246,0.00003594491,0.000008989282,0.0003328046,0.9979219,0.0002863357,0.00002791752,0.001209488],"study_design_scores_gemma":[0.000005954342,0.00005697878,0.001248694,0.000004054023,0.000004912892,0.0001083167,0.00002634892,0.004231762,0.9925429,0.0001469455,0.001617252,0.000005830649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922558,0.0006866914,0.00532016,0.00007831189,0.00003284636,0.000009459175,0.00006955698,0.00004592002,0.001501193],"genre_scores_gemma":[0.9965189,0.000246502,0.002667166,0.00001676172,0.000004338081,0.000006217956,0.0000444442,0.000005530518,0.0004900945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000325514,"threshold_uncertainty_score":0.00126332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061576579447761,"score_gpt":0.267269478677684,"score_spread":0.2566537128832064,"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."}}