{"id":"W2565468612","doi":"10.1093/mnras/stw3319","title":"Probes of turbulent driving mechanisms in molecular clouds from fluctuations in synchrotron intensity","year":2016,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Institute for Theoretical Astrophysics","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; University of Toronto; Partnership for Advanced Computing in Europe AISBL","keywords":"Synchrotron; Turbulence; Intensity (physics); Physics; Molecular cloud; Environmental science; Materials science; Chemical physics; Optics; Mechanics; Astrophysics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002705158,0.0001976532,0.0001573096,0.0003524999,0.0001968048,0.0003581035,0.0002765594,0.0001647851,0.0003032679],"category_scores_gemma":[0.001017011,0.00020315,0.0001963352,0.0003133573,0.0002791172,0.0002473946,0.0002924878,0.0002944694,0.00005310232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004564251,"about_ca_system_score_gemma":0.0002277356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001972554,"about_ca_topic_score_gemma":0.001937772,"domain_scores_codex":[0.9999154,0.00001451934,0.000004414547,0.00001560803,0.00002525454,0.00002487002],"domain_scores_gemma":[0.9996536,0.0001232469,0.0001096858,0.00002703055,0.00003211513,0.00005443871],"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":[0.000586114,0.0002788459,0.3272187,0.000110846,0.00015703,0.0003002621,0.0003465795,0.1191212,0.5334831,0.005050034,0.0003838392,0.01296342],"study_design_scores_gemma":[0.00006724795,0.0002086291,0.4018262,0.00001571981,0.00004271165,0.0001262174,0.0001076104,0.514599,0.08069972,0.001761362,0.0005069772,0.00003866582],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971864,0.00003978789,0.002322957,0.00001823551,0.000002092225,0.000005380593,0.00005539464,0.00005488875,0.000314914],"genre_scores_gemma":[0.998861,0.00001991245,0.001002346,0.000006852879,0.000002465073,0.000004519829,0.00005694573,0.00000943153,0.00003660745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001972554,"threshold_uncertainty_score":0.003922164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005402332500107267,"score_gpt":0.1989034585598743,"score_spread":0.193501126059767,"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."}}