{"id":"W3099666505","doi":"10.1051/0004-6361/201526147","title":"NGC 4370: a case study for testing our ability to infer dust distribution and mass in nearby galaxies","year":2015,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Astronomical Observatories, Chinese Academy of Sciences; Institut national des sciences de l'Univers; Science and Technology Facilities Council; Canadian Space Agency; Vlaamse regering; Canadian Foundation for AIDS Research; Centre National d’Etudes Spatiales; Centre National de la Recherche Scientifique; Belgian Federal Science Policy Office; National Aeronautics and Space Administration; Fonds Wetenschappelijk Onderzoek; Cardiff University; UK Space Agency; Canarie; Imperial College London; California Institute of Technology","keywords":"Galaxy; Dust lane; Cosmic dust; Mass distribution; Stellar population; Population; Circumstellar dust; Extinction (optical mineralogy)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001417772,0.0004808458,0.0002668687,0.001808773,0.001979631,0.0008361919,0.0006604088,0.001077705,0.0007735423],"category_scores_gemma":[0.004895377,0.0001538375,0.0003152382,0.001907956,0.0009234687,0.0004894818,0.001040679,0.0005637116,0.0004765856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085879,"about_ca_system_score_gemma":0.0007229697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06889255,"about_ca_topic_score_gemma":0.1059419,"domain_scores_codex":[0.999097,0.0003514728,0.00004936228,0.0001431918,0.0002560407,0.0001029582],"domain_scores_gemma":[0.9950497,0.002365712,0.0003426881,0.0006462687,0.0008229343,0.0007726315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002872845,0.0009756398,0.9185889,0.0001172481,0.0001092759,0.01800947,0.009923005,0.004652485,0.007445162,0.001524849,0.002059276,0.03630749],"study_design_scores_gemma":[0.00005816688,0.0007952052,0.9163671,0.0000702761,0.0001161143,0.02192943,0.01660451,0.02218621,0.005544393,0.00297001,0.01327186,0.00008682426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956014,0.0001280636,0.001668184,0.0001601763,0.000006699246,0.00004856057,0.0004159399,0.00007720052,0.001893871],"genre_scores_gemma":[0.9930688,0.00009900483,0.005528543,0.00007858127,0.00001392654,0.00001568523,0.0006031736,0.00003037244,0.000561869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06889255,"threshold_uncertainty_score":0.1369831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121862436358688,"score_gpt":0.2468210013454297,"score_spread":0.2256023769818428,"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."}}