{"id":"W3048776649","doi":"10.1093/mnras/stab2572","title":"Progenitor-mass-dependent yields amplify intrinsic scatter in dwarf-galaxy elemental abundance ratios","year":2021,"lang":"en","type":"preprint","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Gamma-ray bursts and supernovae","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Flatiron Health; Cancer Research Wales; Space Telescope Science Institute; Hellman Foundation; Johns Hopkins University; National Aeronautics and Space Administration; California Institute of Technology; Simons Foundation; Nuclear Safety and Security Commission; Heising-Simons Foundation; Research Corporation for Science Advancement; National Science Foundation","keywords":"Astrophysics; Physics; Supernova; Dwarf galaxy; Metallicity; Galaxy; Ejecta; Population; Abundance (ecology); Stellar population; Stellar mass; Yield (engineering); Star formation; Biology","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":[0.001026085,0.0004242041,0.0004003723,0.0003254861,0.000322708,0.0008736856,0.000769418,0.0004248607,0.0006913172],"category_scores_gemma":[0.00442115,0.0004268234,0.0005041348,0.0003335461,0.0005713143,0.0005867712,0.0006187526,0.0005059856,0.0001324829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004732591,"about_ca_system_score_gemma":0.0002817193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007907576,"about_ca_topic_score_gemma":0.006795108,"domain_scores_codex":[0.9997761,0.00007758215,0.00001604752,0.00005937593,0.00003645428,0.00003448326],"domain_scores_gemma":[0.9984695,0.0008943195,0.0001639392,0.0002614754,0.0001020293,0.0001087104],"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":[0.0004423022,0.0001317263,0.2317643,0.00005682299,0.0002954908,0.0002382494,0.000214759,0.7376192,0.02169829,0.001795008,0.0004131458,0.005330735],"study_design_scores_gemma":[0.00008590303,0.0001613149,0.07307238,0.00001678308,0.0000643352,0.0001022309,0.0001084881,0.9063501,0.01804838,0.001356866,0.0005980198,0.0000351846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979802,0.00003751151,0.001251469,0.00002640986,0.000003527018,0.000002935938,0.0001346604,0.0001007676,0.0004625683],"genre_scores_gemma":[0.9989165,0.00002089488,0.000677199,0.0000162622,0.000001985421,0.000002888886,0.0002194674,0.00003670416,0.0001080374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007907576,"threshold_uncertainty_score":0.01572311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048146725117625,"score_gpt":0.2240862345222577,"score_spread":0.2136047672710815,"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."}}