{"id":"W4402150740","doi":"10.56741/jnest.v3i02.525","title":"Analysis of Third-Generation Solar Cell Design with Physics of Semiconductor","year":2024,"lang":"en","type":"article","venue":"Journal of Novel Engineering Science and Technology","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Association of Canadian Archivists","funders":"","keywords":"Solar cell; Semiconductor; MATLAB; Multiple exciton generation; Computer science; Solar energy; Engineering physics; Electronic engineering; Semiconductor device; Systems engineering; Engineering; Electrical engineering; Materials science; Nanotechnology","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":[0.0002645832,0.0003368757,0.0005355426,0.0002662661,0.0003169248,0.0007256672,0.0005681975,0.0006832181,0.002292783],"category_scores_gemma":[0.0006372668,0.0002863759,0.000830739,0.0002324733,0.0003221962,0.0005435787,0.0002972443,0.0004435219,0.0003133003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104935,"about_ca_system_score_gemma":0.0009344242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002445485,"about_ca_topic_score_gemma":0.001892635,"domain_scores_codex":[0.9998204,0.00003059716,0.000004030282,0.00002112331,0.0001023491,0.00002141626],"domain_scores_gemma":[0.9998494,0.00006645116,0.0000170719,0.00001142167,0.00004973607,0.000005966202],"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":[0.00003028089,0.00003252863,0.0008361791,0.0002472337,0.00005336341,0.0001352394,0.00006209894,0.9168742,0.01766041,0.04735438,0.001379399,0.01533451],"study_design_scores_gemma":[0.00000401897,0.00001847627,0.0002873725,0.000006962779,0.00001264358,0.00005026672,0.00001184242,0.9902437,0.002240043,0.004934255,0.002185512,0.000004862909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07926548,0.00253825,0.8598811,0.0008995641,0.0001253166,0.0001127968,0.0002133328,0.0001894631,0.05677474],"genre_scores_gemma":[0.9147649,0.002052555,0.06900555,0.0001724,0.00006183,0.0002212784,0.0001602608,0.0001406656,0.01342057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002445485,"threshold_uncertainty_score":0.008016884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189234239236847,"score_gpt":0.2308293544939884,"score_spread":0.2119059305703037,"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."}}