{"id":"W2295717594","doi":"10.3847/0004-637x/822/1/13","title":"RADIO SYNCHROTRON FLUCTUATION STATISTICS AS A PROBE OF MAGNETIZED INTERSTELLAR TURBULENCE","year":2016,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"","keywords":"Physics; Synchrotron; Turbulence; Mach number; Astrophysics; Synchrotron radiation; Magnetic field; Polarization (electrochemistry); Interstellar medium; Computational physics; Galaxy; Optics; 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":[0.000399518,0.0002082021,0.0002339169,0.000433541,0.0001114502,0.0005186395,0.0001741052,0.0001460024,0.000349343],"category_scores_gemma":[0.002076002,0.0001448726,0.0001298135,0.0003249795,0.000281659,0.0004084409,0.0002366935,0.0002384694,0.00006846608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000212424,"about_ca_system_score_gemma":0.00008875948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006509741,"about_ca_topic_score_gemma":0.0005384932,"domain_scores_codex":[0.9998963,0.00003425862,0.000005581005,0.00002775462,0.0000221732,0.00001396947],"domain_scores_gemma":[0.9989551,0.0003682782,0.0003222597,0.0001165509,0.0001163991,0.0001214874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008370175,0.0001671384,0.6774244,0.00003566481,0.0002164861,0.0002917617,0.0002069862,0.1168708,0.1856009,0.006214634,0.000392933,0.01174134],"study_design_scores_gemma":[0.00003436584,0.0002668222,0.7368467,0.000006279876,0.00002967486,0.0001142397,0.000084605,0.2446038,0.0159009,0.001766372,0.0002980179,0.00004825891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979585,0.00001741514,0.001558856,0.00001453048,0.000002000348,0.00000163605,0.0000743375,0.00003903952,0.0003337516],"genre_scores_gemma":[0.9997055,0.000003556414,0.0002169023,0.000001636368,0.000001481477,6.240056e-7,0.00003939952,0.000003500877,0.0000273749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006509741,"threshold_uncertainty_score":0.002112865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007125434531740811,"score_gpt":0.2294715047035004,"score_spread":0.2223460701717596,"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."}}