{"id":"W1495858593","doi":"10.1063/1.4926548","title":"Light-trapping optimization in wet-etched silicon photonic crystal solar cells","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Photonic Crystals and Applications","field":"Physics and Astronomy","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"U.S. Department of Energy","keywords":"Silicon; Materials science; Lattice constant; Photonic crystal; Crystalline silicon; Solar cell; Etching (microfabrication); Optics; Absorption (acoustics); Fabrication; Optoelectronics; Diffraction; Nanotechnology; Composite material; Physics","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":[0.00009319995,0.0001117128,0.0001554272,0.0001017075,0.0001489276,0.000298295,0.0002541181,0.0002446652,0.0006362051],"category_scores_gemma":[0.0002203575,0.0001403011,0.0001645054,0.0001290749,0.0002465034,0.0002026325,0.0001796603,0.0001674012,0.00009209263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003662664,"about_ca_system_score_gemma":0.0006286411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002456371,"about_ca_topic_score_gemma":0.004266435,"domain_scores_codex":[0.999948,0.000004342096,0.00000145507,0.000006090781,0.00002905095,0.00001104252],"domain_scores_gemma":[0.9999379,0.00002190417,0.00001679544,0.000004558071,0.00001361927,0.000005263312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004469033,0.00006946923,0.001003388,0.0000820176,0.00002842731,0.0001096164,0.00004478158,0.8423643,0.1442591,0.004405285,0.0002343509,0.007354623],"study_design_scores_gemma":[0.00002121409,0.00004704361,0.0003474781,0.000002809516,0.000004545788,0.00002145177,0.00001640269,0.9743928,0.02418527,0.0005749541,0.0003795648,0.000006448574],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961485,0.0001661621,0.03104642,0.00008751146,0.00001597001,0.00001760394,0.00008681836,0.00008227561,0.007012241],"genre_scores_gemma":[0.9827764,0.00009561261,0.01617731,0.00002137995,0.000002451093,0.00001797937,0.00004676673,0.00001259008,0.0008493543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002456371,"threshold_uncertainty_score":0.004884124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461319165944733,"score_gpt":0.2382605186495054,"score_spread":0.2236473269900581,"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."}}