{"id":"W2315691884","doi":"10.1093/mnras/stu375","title":"Multiscale analysis of Galactic dust emission using complex wavelet transforms – I. Separation of Gaussian and non-Gaussian fluctuations in Herschel observations","year":2014,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Institute for Theoretical Astrophysics; Université Laval; Centre for Research in Astrophysics of Québec","funders":"","keywords":"Physics; Gaussian; Spectral density; Gaussian random field; Power law; Wavelet; Astrophysics; Gaussian function; Galactic plane; Statistical physics; Galaxy; Statistics; Quantum mechanics","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":[0.0003776057,0.0002586803,0.0001712119,0.0007850975,0.0001234155,0.0006358205,0.0001919127,0.0001807837,0.0003138213],"category_scores_gemma":[0.00112353,0.0001133103,0.0003643243,0.0005519647,0.000268304,0.0004303415,0.0002915951,0.0002886981,0.00008236039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002854575,"about_ca_system_score_gemma":0.0001334719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002274505,"about_ca_topic_score_gemma":0.00153323,"domain_scores_codex":[0.9998941,0.00002288102,0.000005904814,0.00002761974,0.0000286549,0.00002080246],"domain_scores_gemma":[0.9997863,0.00006008161,0.00006235052,0.00004795252,0.00002276803,0.00002057654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003440201,0.0001542829,0.07415798,0.0001759356,0.0003050696,0.001045992,0.000489014,0.2790294,0.4147378,0.03639127,0.001528625,0.1916407],"study_design_scores_gemma":[0.0000218772,0.00005005602,0.1550591,0.00001281226,0.00003754447,0.0001434823,0.00009344884,0.8158033,0.01841179,0.008755619,0.001569816,0.00004111202],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9238639,0.0002368366,0.07436753,0.0001133286,0.0000145053,0.00001385449,0.0002352487,0.0001214378,0.001033242],"genre_scores_gemma":[0.984501,0.0001462556,0.01489615,0.0000109369,0.00002209324,0.000007211295,0.0001948128,0.00002739307,0.0001942203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002274505,"threshold_uncertainty_score":0.004522562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919508969089978,"score_gpt":0.2585789670259941,"score_spread":0.2393838773350944,"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."}}