{"id":"W4388551057","doi":"10.1002/solr.202300643","title":"High‐Efficiency GaAs Solar Cells Grown on Porous Germanium Substrate with PEELER Technology","year":2023,"lang":"en","type":"article","venue":"Solar RRL","topic":"solar cell performance optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Electric (Canada); Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Institut National des Sciences Appliquées de Lyon; Centre National de la Recherche Scientifique; Fonds de recherche du Québec – Nature et technologies; Université Grenoble Alpes; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Mitacs; Indian National Science Academy","keywords":"Wafer; Substrate (aquarium); Germanium; Optoelectronics; Materials science; Epitaxy; Layer (electronics); Photovoltaic system; Solar cell; Coating; Nanotechnology; Silicon; Electrical engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001676094,0.0002727511,0.000222104,0.0004739324,0.0001507384,0.00005850765,0.000254424,0.0002310464,0.0001112246],"category_scores_gemma":[0.00000613183,0.0002540694,0.00004052684,0.001273522,0.00006854135,0.0002271256,0.00004038394,0.000426518,0.002081034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000082064,"about_ca_system_score_gemma":0.00002916091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001113221,"about_ca_topic_score_gemma":0.00002107153,"domain_scores_codex":[0.9985815,0.00001606279,0.0002318191,0.0003186081,0.0002642584,0.0005877228],"domain_scores_gemma":[0.9993309,0.00002160802,0.00004841916,0.0004649854,0.00006080918,0.00007330701],"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":[0.00004774725,0.00009779404,0.002626937,0.0001669606,0.00009592132,0.0002202728,0.000583527,0.9484613,0.0398742,0.0006575857,0.004290319,0.002877447],"study_design_scores_gemma":[0.001971568,0.0008317378,0.007570872,0.0001589286,0.00009569838,0.00008197212,0.0005044335,0.5356658,0.4420622,0.0002391842,0.009184993,0.001632612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846057,0.000084586,0.005690638,0.000125776,0.000810948,0.0003249627,0.00001240118,0.002486593,0.005858451],"genre_scores_gemma":[0.9973144,0.0002473798,0.001506298,0.0000399316,0.0001185693,0.00003568012,0.00005961353,0.0001201885,0.0005579279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4127955,"threshold_uncertainty_score":0.9999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005877341011523178,"score_gpt":0.1812168692410571,"score_spread":0.1753395282295339,"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."}}