{"id":"W2151004512","doi":"10.1002/pip.2326","title":"Surface‐relief diffraction gratings' optimization for plasmonic enhancements in thin‐film solar cells","year":2012,"lang":"en","type":"article","venue":"Progress in Photovoltaics Research and Applications","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Grating; Photocurrent; Materials science; Optoelectronics; Plasmon; Optics; Diffraction grating; Ray; Diffraction; Diffraction efficiency; Surface plasmon; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001387878,0.0001806579,0.0002070786,0.0003450971,0.0002393019,0.0001213065,0.0002432289,0.0001795629,0.00003051421],"category_scores_gemma":[0.00004967265,0.0001895923,0.00003024669,0.0009060512,0.0001669071,0.0003987365,0.00007806278,0.0006636266,0.00002349818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002325356,"about_ca_system_score_gemma":0.00005709369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004454632,"about_ca_topic_score_gemma":0.00009133387,"domain_scores_codex":[0.9977916,0.00006818258,0.0003627563,0.0003158156,0.0004623984,0.000999194],"domain_scores_gemma":[0.9988741,0.0004543702,0.00003786059,0.0002618717,0.0001527615,0.0002190518],"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":[0.0003989832,0.003452357,0.2159832,0.001814545,0.0001428883,0.000005553146,0.002681189,0.6675716,0.07859658,0.002846386,0.003845017,0.02266168],"study_design_scores_gemma":[0.0007468404,0.00007229919,0.001367731,0.00005603605,0.00000344308,0.000001471814,0.0003772264,0.8997996,0.08505389,0.0004828321,0.01180653,0.0002320723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640786,0.004265127,0.02596577,0.0001039164,0.0001257472,0.003891018,0.0001059871,0.0001480645,0.001315744],"genre_scores_gemma":[0.9725686,0.003900958,0.01980607,0.000006599252,0.00002491671,0.003429575,0.0000913003,0.00004744146,0.0001245951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.232228,"threshold_uncertainty_score":0.7731349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03634162688196273,"score_gpt":0.3327291142345619,"score_spread":0.2963874873525991,"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."}}