{"id":"W4407607335","doi":"10.1016/j.diamond.2025.112091","title":"Strategic design of 2D graphitic carbon nitride nanosheets anchored with CuFe2O4 nanoparticles for efficient photoanodes in DSSC applications","year":2025,"lang":"en","type":"article","venue":"Diamond and Related Materials","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Graphitic carbon nitride; Nanotechnology; Dye-sensitized solar cell; Nanoparticle; Materials science; Carbon nitride; Nitride; Chemistry; Photocatalysis; Layer (electronics); Electrode; Catalysis","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":[0.00006621808,0.0002740784,0.0001716694,0.0001391686,0.0001407052,0.0003092734,0.0003618088,0.0004146867,0.0007217378],"category_scores_gemma":[0.0001021439,0.0001785421,0.0001718728,0.0001154377,0.0000949934,0.0002666982,0.0001743612,0.0002309256,0.0002726062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003867202,"about_ca_system_score_gemma":0.0002049813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005620584,"about_ca_topic_score_gemma":0.001814452,"domain_scores_codex":[0.9999554,0.0000039494,0.000003543286,0.00001229189,0.00001217411,0.0000126159],"domain_scores_gemma":[0.9999688,0.000004140843,0.000008458992,0.000003102025,0.000007534217,0.000008008652],"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":[0.0001265919,0.00007484201,0.0001624807,0.00008290815,0.00001450851,0.0001047955,0.00001215101,0.003408449,0.9919705,0.0007789889,0.0001333553,0.003130286],"study_design_scores_gemma":[0.00003250896,0.0002597458,0.0006856394,0.000006153355,0.00001438336,0.0000668423,0.00002908875,0.01766362,0.9789008,0.000177271,0.002145683,0.00001823072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904829,0.0003356466,0.005912615,0.0000702691,0.00005490871,0.0000473671,0.0002017629,0.00006484344,0.002829665],"genre_scores_gemma":[0.9908903,0.0002517149,0.006900367,0.00002729033,0.000005378185,0.00005667771,0.0001890416,0.00001348166,0.001665707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007217378,"threshold_uncertainty_score":0.002805829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081270551976457,"score_gpt":0.2479277919007531,"score_spread":0.2371150863809886,"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."}}