{"id":"W4284892324","doi":"10.1093/mnras/stac1913","title":"Dust evolution with MUPPI in cosmological volumes","year":2022,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Carl Friedrich von Siemens Stiftung; Institut sur la Nutrition et les Aliments Fonctionnels; Istituto Nazionale di Astrofisica; Consejo Nacional de Investigaciones Científicas y Técnicas; Deutsche Forschungsgemeinschaft; Ministero dell’Istruzione, dell’Università e della Ricerca; Istituto Nazionale di Fisica Nucleare; European Commission; Istituto Nazionale di Fisica Nucleare Sezione di Padova","keywords":"Physics; Astrophysics; Star formation; Galaxy; Metallicity; Milky Way; Accretion (finance); Interstellar medium; Redshift; Astronomy; Galaxy formation and evolution; Stars; Cosmic dust","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":[0.0004283789,0.0004650688,0.0005802982,0.0006414943,0.0004850698,0.001075813,0.001375079,0.0009652398,0.00160199],"category_scores_gemma":[0.002328037,0.0003368218,0.0006606974,0.0005890314,0.0006884306,0.0006240731,0.000723102,0.0007089147,0.0001424842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272912,"about_ca_system_score_gemma":0.0005048186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01468947,"about_ca_topic_score_gemma":0.006468446,"domain_scores_codex":[0.9998511,0.00004988089,0.000005241207,0.00003139636,0.00002979785,0.00003258674],"domain_scores_gemma":[0.9990724,0.0004180531,0.0001503481,0.00007986795,0.00009856687,0.0001806903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001234966,0.0001320976,0.0163797,0.0000366703,0.0001166967,0.0002270419,0.0000791823,0.9739787,0.003866942,0.003371079,0.0003165589,0.001371878],"study_design_scores_gemma":[0.0000453754,0.00004642806,0.003800347,0.000004924858,0.00001814181,0.00002624086,0.0000249555,0.9941126,0.0009504445,0.0006815949,0.0002775053,0.00001137475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947934,0.00008714812,0.002750223,0.0001426134,0.00001715945,0.00001066412,0.0002688622,0.0001867029,0.001743209],"genre_scores_gemma":[0.9975619,0.00004301591,0.001695945,0.00002609993,0.000008387092,0.00001197281,0.0002233272,0.00003636237,0.0003929469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01468947,"threshold_uncertainty_score":0.02920794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006757991157771683,"score_gpt":0.1928732170538373,"score_spread":0.1861152258960656,"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."}}