{"id":"W4402123592","doi":"10.3847/1538-3881/ad660b","title":"CHANG-ES. XXXII. Spatially Resolved Thermal–Nonthermal Separation from Radio Data Alone—New Probes into NGC 3044 and NGC 5775","year":2024,"lang":"en","type":"article","venue":"The Astronomical Journal","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Agencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades; National Radio Astronomy Observatory; National Science Foundation","keywords":"Physics; Astrophysics; Galaxy; Spectral index; Flattening; Thermal; Spectral line; Astronomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003965516,0.0002815155,0.0003269319,0.00009543725,0.0003533027,0.0005437276,0.000906237,0.00008768487,0.0007341736],"category_scores_gemma":[0.000007753348,0.0002041666,0.0001086767,0.0001210815,0.0001909849,0.000688971,0.0003557476,0.0007374369,0.00008923462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007390089,"about_ca_system_score_gemma":0.0003264529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007632743,"about_ca_topic_score_gemma":0.00006157673,"domain_scores_codex":[0.9983756,0.0001160543,0.000483356,0.0004544544,0.0001602313,0.0004103007],"domain_scores_gemma":[0.9987983,0.0001359348,0.0001712534,0.0006789636,0.00003211355,0.0001834919],"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":[0.0002246206,0.0002030841,0.09578624,0.00001188043,0.001389122,0.000008492202,0.001703473,0.003295052,0.01009276,0.01963062,0.01251268,0.855142],"study_design_scores_gemma":[0.006947347,0.0007985715,0.3028801,0.0005623677,0.00132978,0.00008543219,0.002421508,0.3260981,0.01040272,0.04404309,0.302172,0.002259008],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8805558,0.0009827288,0.1119691,0.005447155,0.0003949501,0.0002671078,0.00009197176,0.00007068667,0.000220443],"genre_scores_gemma":[0.9873585,0.00001161069,0.008945896,0.00003447043,0.003152509,0.00001768884,0.0002231503,0.00004270477,0.0002135118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.852883,"threshold_uncertainty_score":0.8325672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288907373450923,"score_gpt":0.2693877254728405,"score_spread":0.2464986517383312,"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."}}