{"id":"W3105585585","doi":"10.3847/0004-637x/818/2/118/meta","title":"Principal Component analysis studies of turbulence in optically thick gas","year":2020,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"","keywords":"Principal component analysis; Spectral density; Physics; Fractional Brownian motion; Turbulence; Computational physics; Opacity; Position (finance); Radiative transfer; Magnetohydrodynamics; Brownian motion; Optics; Mathematics; Mechanics; Statistics; Plasma","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":[0.001060886,0.0004616237,0.0002339357,0.001699758,0.0004163427,0.0009669238,0.0002141012,0.0002113231,0.0007321761],"category_scores_gemma":[0.004950961,0.0001498924,0.0004701154,0.001519986,0.0004951539,0.0005406404,0.0003624242,0.0004425215,0.000138426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002241435,"about_ca_system_score_gemma":0.0003077167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002654616,"about_ca_topic_score_gemma":0.001325539,"domain_scores_codex":[0.9995927,0.0001518677,0.00002500042,0.00006844287,0.000116664,0.00004531068],"domain_scores_gemma":[0.9974099,0.001650186,0.000312737,0.0002163697,0.0003352789,0.00007555413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004769855,0.0002336847,0.1250332,0.0005421168,0.0007144792,0.0007185265,0.00238393,0.3090714,0.09419674,0.05760635,0.003752447,0.4052703],"study_design_scores_gemma":[0.00001621478,0.000180624,0.2066,0.00006502406,0.00007437711,0.000293119,0.0005238391,0.7506971,0.0122103,0.02456603,0.004684471,0.00008884185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7402794,0.001674856,0.2532989,0.0003195069,0.00009533171,0.00007968302,0.0004574369,0.0004070104,0.003387814],"genre_scores_gemma":[0.9554023,0.0006961474,0.0425302,0.00002148762,0.00006147533,0.00004435776,0.00047161,0.00006747206,0.0007048568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002654616,"threshold_uncertainty_score":0.005610585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081159798899882,"score_gpt":0.2574133701066764,"score_spread":0.2366017721176776,"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."}}