{"id":"W3023968965","doi":"10.1364/josaa.417705","title":"Variational scaling law for atmospheric propagation","year":2021,"lang":"en","type":"article","venue":"Journal of the Optical Society of America A","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"Air Force Office of Scientific Research; Air Force Research Laboratory; U.S. Air Force; Universities Space Research Association; Colorado State University","keywords":"Scaling law; Scaling; Statistical physics; Atmospheric turbulence; Physics; Classical mechanics; Mathematics; Meteorology; Geometry; Turbulence","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":[0.0009875299,0.000549409,0.0005430942,0.0006537461,0.0006600709,0.001066666,0.001241236,0.0008636959,0.002325667],"category_scores_gemma":[0.002267064,0.0003482055,0.0007820067,0.0004742974,0.001310317,0.00173243,0.001040346,0.001108769,0.0004974045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326829,"about_ca_system_score_gemma":0.001216805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007399146,"about_ca_topic_score_gemma":0.003661633,"domain_scores_codex":[0.9996902,0.00008273609,0.00001155647,0.00004657252,0.000125605,0.00004335572],"domain_scores_gemma":[0.9993605,0.0002537536,0.00007046024,0.00007378525,0.0001709917,0.00007060292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001053106,0.00001651692,0.0003871127,0.00002405637,0.00001409188,0.00006546188,0.00006825635,0.4237576,0.002439065,0.5657728,0.001358231,0.006086166],"study_design_scores_gemma":[0.000001613397,0.000003894374,0.00005438071,0.00000167439,9.085479e-7,0.000008609934,0.000003517207,0.9677784,0.0000809098,0.03146834,0.0005931485,0.000004651067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01822602,0.000315884,0.9709972,0.0003477619,0.000100788,0.00003550965,0.0001255543,0.0001354647,0.009715843],"genre_scores_gemma":[0.7662613,0.00110354,0.2044949,0.0002934508,0.000272451,0.0003749423,0.0003430089,0.0004215734,0.02643483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007399146,"threshold_uncertainty_score":0.01471215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030251042156645,"score_gpt":0.2273011790177967,"score_spread":0.2169986685962302,"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."}}