{"id":"W4283074407","doi":"10.48550/arxiv.2206.08244","title":"Concentration ratio for a circular trough with flat receiver","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Eidgenössische Technische Hochschule Zürich","keywords":"Trough (economics); Parabolic trough; Concentrator; Enhanced Data Rates for GSM Evolution; Optics; Planar; Diameter ratio; Geometry; Intersection (aeronautics); Nonimaging optics; Spillage; Aspect ratio (aeronautics); Physics; Mathematics; Telecommunications; Engineering; Computer science; Mechanics; Optoelectronics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005330127,0.0007755879,0.0004009706,0.00100306,0.0004027919,0.001800444,0.001155606,0.0007417848,0.00415374],"category_scores_gemma":[0.002081899,0.0003475396,0.0004122079,0.0006648125,0.001006193,0.001458119,0.0009714141,0.0006477407,0.00148719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545236,"about_ca_system_score_gemma":0.0004878939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008238849,"about_ca_topic_score_gemma":0.000694453,"domain_scores_codex":[0.9993829,0.00008686837,0.00002537489,0.0001550341,0.0002433409,0.0001064155],"domain_scores_gemma":[0.99942,0.0001936781,0.0001191601,0.00006329332,0.00017506,0.00002882669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003626331,0.0001504728,0.002222366,0.0006652187,0.00008608376,0.000860002,0.0004917085,0.1034636,0.3852083,0.4153651,0.004869261,0.08625524],"study_design_scores_gemma":[0.0000512293,0.000507577,0.001624381,0.0001112572,0.0001343262,0.001930186,0.0002524232,0.7293983,0.2001222,0.0476666,0.01806021,0.0001413052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1040357,0.002878083,0.8108339,0.0005394226,0.0001426083,0.0001437746,0.0001946972,0.001517874,0.07971397],"genre_scores_gemma":[0.8782449,0.00176019,0.1084616,0.0004364001,0.000113688,0.000130712,0.0001091327,0.0004237595,0.01031957],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00415374,"threshold_uncertainty_score":0.01389563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0549639486241006,"score_gpt":0.1796563254539673,"score_spread":0.1246923768298667,"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."}}