{"id":"W4410285434","doi":"10.1016/j.jpowsour.2025.237313","title":"Modeling and Monte Carlo simulation of dye-sensitized solar cells based on TiO2/g-C3N4 nanocomposites","year":2025,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"TiO2 Photocatalysis and Solar Cells","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monte Carlo method; Dye-sensitized solar cell; Nanocomposite; Materials science; Nanotechnology; Chemistry; Physical 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":[0.0003864348,0.0004641951,0.0009883455,0.0004949664,0.0009330271,0.0009682337,0.001199886,0.001908998,0.00310881],"category_scores_gemma":[0.001201978,0.0005794317,0.0008301325,0.0007416182,0.0006575885,0.000621418,0.0003343286,0.000766173,0.0002559584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002209763,"about_ca_system_score_gemma":0.00140316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05163086,"about_ca_topic_score_gemma":0.03035332,"domain_scores_codex":[0.9998265,0.00004251292,0.000007185265,0.00002371763,0.000051032,0.0000491346],"domain_scores_gemma":[0.9990396,0.0006268345,0.00006560095,0.00004171858,0.0001712512,0.00005496003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003266628,0.00003387655,0.0004576476,0.00001589601,0.00001098026,0.00003911514,0.00001247295,0.9972108,0.0007409166,0.0009447683,0.0001053678,0.0003955782],"study_design_scores_gemma":[0.000005144591,0.00000752168,0.0001105583,0.00000163235,0.000003246445,0.000003370403,0.000005578136,0.9994308,0.0002751404,0.0001009683,0.00005325835,0.000002673301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504073,0.0004895987,0.02049721,0.0006010144,0.000100834,0.00008019411,0.0006144268,0.0002419757,0.02696753],"genre_scores_gemma":[0.9941303,0.0001015028,0.002669021,0.00007040946,0.000009515244,0.0000492408,0.0001355402,0.00003799,0.00279647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05163086,"threshold_uncertainty_score":0.1026607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007265286940370348,"score_gpt":0.2304927836755564,"score_spread":0.223227496735186,"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."}}