{"id":"W3106138420","doi":"","title":"Velocity statistics from spectral line data: effects of density-velocity correlations, magnetic field, and shear","year":2002,"lang":"en","type":"article","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Physics; Smoothing; Computational physics; Magnetic field; Magnetohydrodynamics; Turbulence; Statistical physics; Anisotropy; Astrophysics; Statistics; Optics; Mechanics; 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":[0.003351626,0.0005193118,0.00032225,0.001171978,0.0003573901,0.000853651,0.0003362393,0.0003045143,0.000395329],"category_scores_gemma":[0.02305454,0.0002612391,0.0003693977,0.0009177068,0.0008218627,0.001390998,0.0005070553,0.0005659272,0.000130261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002992041,"about_ca_system_score_gemma":0.0004415485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002016633,"about_ca_topic_score_gemma":0.002312409,"domain_scores_codex":[0.9990671,0.0003672806,0.00008728939,0.0001418419,0.0002763188,0.00006012393],"domain_scores_gemma":[0.984227,0.01116504,0.001587193,0.001821961,0.0009597073,0.0002390573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00312857,0.000297028,0.2712267,0.0003880414,0.0004794913,0.0006185846,0.001237529,0.4190484,0.1298924,0.01010038,0.0007620471,0.1628207],"study_design_scores_gemma":[0.00004387533,0.0002594194,0.1269024,0.00004823301,0.00008753165,0.0005287233,0.0002049139,0.7705277,0.09010556,0.01021867,0.0009411158,0.000131931],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.929238,0.0001656598,0.06937873,0.000122745,0.00001965525,0.00002249974,0.000307531,0.0002957712,0.000449373],"genre_scores_gemma":[0.9833935,0.00009892242,0.01576768,0.00002168084,0.00001735868,0.00001213596,0.0004995648,0.00009064248,0.00009850884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003351626,"threshold_uncertainty_score":0.01772535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815092245662857,"score_gpt":0.2461521589504628,"score_spread":0.2280012364938342,"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."}}