{"id":"W2508233019","doi":"10.1016/j.solener.2016.08.022","title":"Enhancement of the electrical response in high concentrating photovoltaic systems by antireflective coatings based on silica nanoparticles","year":2016,"lang":"en","type":"article","venue":"Solar Energy","topic":"solar cell performance optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Opsun Technologies (Canada); Université Laval","funders":"","keywords":"Anti-reflective coating; Materials science; Photovoltaic system; Reflection (computer programming); Optics; Fresnel equations; Arc (geometry); Substrate (aquarium); Coating; Optoelectronics; Nanoparticle; Transmission (telecommunications); Nanotechnology; Refractive index; Computer science; Electrical engineering","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":[0.0002437686,0.0001224839,0.000150205,0.00005864883,0.00004782244,0.00001381827,0.0001152265,0.00006809552,0.00001396315],"category_scores_gemma":[0.0001157968,0.00008188466,0.00003110211,0.0003382282,0.00003662203,0.00008100741,0.00001354019,0.00007346724,0.000002816597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002241622,"about_ca_system_score_gemma":0.00004027697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009167424,"about_ca_topic_score_gemma":0.00001141107,"domain_scores_codex":[0.9989585,0.0001583029,0.0002678916,0.0001533831,0.0002077454,0.0002541345],"domain_scores_gemma":[0.9994333,0.0002227994,0.0000711757,0.0002025972,0.00003742802,0.00003270519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001528745,0.00003628936,0.00129759,0.00001001035,0.000005088351,6.794163e-7,0.00005859507,0.06225187,0.9354718,0.00006328258,0.0001114846,0.0005404513],"study_design_scores_gemma":[0.0003988045,0.0001060767,0.0003347473,0.00008423287,0.0000029171,3.256892e-7,0.000009806623,0.3814472,0.6174051,0.000004689148,0.0001346675,0.00007147767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848247,0.0001613923,0.01446586,0.00002671856,0.0001542678,0.0001332596,0.000005982187,0.0000566891,0.0001711032],"genre_scores_gemma":[0.999535,0.00003946878,0.0002429411,0.00004376106,0.00001622097,0.00004789251,0.000002465189,0.00002433313,0.00004787239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3191953,"threshold_uncertainty_score":0.3339159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00435433496494457,"score_gpt":0.1877138503115657,"score_spread":0.1833595153466211,"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."}}