{"id":"W2971296834","doi":"10.1063/1.5124200","title":"A solar concentrator based on photonic angular selectivity","year":2019,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"solar cell performance optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Concentrator; Optics; Photonics; Nonimaging optics; Acceptance angle; Physics; Photovoltaic system; Selective surface; Geometrical optics; Equivalence (formal languages); Nanophotonics; Optoelectronics; Materials science; Engineering; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001392462,0.0002046401,0.0001880619,0.00008987833,0.00005102258,0.0001126811,0.0001650154,0.0001217497,0.0004726343],"category_scores_gemma":[0.00002759038,0.0002142417,0.00004272904,0.0002899139,0.00002532983,0.0003926251,0.00001483533,0.0002640818,0.0003492854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391895,"about_ca_system_score_gemma":0.00007252823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004127629,"about_ca_topic_score_gemma":0.000001111694,"domain_scores_codex":[0.9989994,0.000004291328,0.0001473128,0.0002691161,0.0002256787,0.0003542391],"domain_scores_gemma":[0.9995671,0.00001951202,0.00004049222,0.000130464,0.00015722,0.0000852318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001166212,0.0001482474,0.3962203,0.00066223,0.00007462192,0.000003669338,0.001578032,0.01982286,0.575598,0.0009287966,0.002024685,0.002821952],"study_design_scores_gemma":[0.0004557984,0.0001234427,0.003519623,0.00007104972,0.00000996541,0.000001602227,0.00006683519,0.9501837,0.04409553,0.00003533556,0.001182621,0.0002544311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643978,0.00003054978,0.009223625,0.0000445204,0.0002534018,0.0004872188,0.000003980583,0.0005849308,0.02497392],"genre_scores_gemma":[0.9981329,0.00002666081,0.001452902,0.0001627902,0.00004089401,0.00003917496,0.000008555488,0.00004284532,0.00009329968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9303609,"threshold_uncertainty_score":0.8736523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007229442552646782,"score_gpt":0.1914742421972833,"score_spread":0.1842447996446366,"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."}}