{"id":"W4289812350","doi":"","title":"Thermal behaviors of InGaP and GaAs Solar Cell Parameters for Thermal/CPV Solar Energy Systems","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"solar cell performance optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Thermal; Solar cell; Materials science; Optoelectronics; Gallium arsenide; Solar energy; Physics; Electrical engineering; Engineering; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001875611,0.0003625481,0.0004276051,0.0002034517,0.0001573443,0.000190696,0.0006202708,0.0003861613,0.00002159042],"category_scores_gemma":[0.0001350602,0.0003568111,0.0001606262,0.0001369403,0.0001523789,0.0001921222,0.0003913307,0.0003103534,0.00000409464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013924,"about_ca_system_score_gemma":0.00007964208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002913361,"about_ca_topic_score_gemma":0.00006238389,"domain_scores_codex":[0.9974695,0.0008833554,0.000567137,0.0004609964,0.0002604247,0.0003585995],"domain_scores_gemma":[0.9969028,0.000597337,0.0003739655,0.001251527,0.0007486867,0.0001257126],"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":[0.0001294491,0.001166608,0.01818962,0.007141729,0.0008359236,0.000008481999,0.02857959,0.4169114,0.3892955,0.007762806,0.001825746,0.1281532],"study_design_scores_gemma":[0.0006993311,0.00000127386,0.0006402961,0.001477471,0.0001123223,0.000002480505,0.000104439,0.7511212,0.2438291,0.0001301386,0.001313503,0.0005683782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5032735,0.003088537,0.4825166,0.0001733411,0.0005575167,0.0007541301,0.0001482114,0.0003425102,0.009145617],"genre_scores_gemma":[0.9709589,0.001071984,0.02635929,0.00001068368,0.00002736169,0.0001984656,0.0002768542,0.0001218906,0.0009745177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4676855,"threshold_uncertainty_score":0.9998884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009639828121846373,"score_gpt":0.1921476999636589,"score_spread":0.1825078718418126,"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."}}