{"id":"W2194676804","doi":"10.3847/0004-637x/824/2/82","title":"UNCERTAINTIES IN GALACTIC CHEMICAL EVOLUTION MODELS","year":2016,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Fonds de recherche du Québec – Nature et technologies; Los Alamos National Laboratory; Natural Sciences and Engineering Research Council of Canada; Canarie; Canadian Foundation for AIDS Research; Alexander von Humboldt-Stiftung; National Aeronautics and Space Administration; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy; National Science Foundation","keywords":"Milky Way; Metallicity; Supernova; Physics; Astrophysics; Galaxy; Monte Carlo method; Initial mass function; Range (aeronautics); Function (biology); Statistical physics; Statistics; Mathematics; Star formation","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":[0.002326549,0.0009241482,0.000884796,0.00126476,0.0006941209,0.002441213,0.002280967,0.001248622,0.002687928],"category_scores_gemma":[0.009226738,0.0005163685,0.001113882,0.0009831833,0.001048894,0.001596934,0.001147768,0.0008152373,0.0004227077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002198676,"about_ca_system_score_gemma":0.0007762622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01558263,"about_ca_topic_score_gemma":0.005381649,"domain_scores_codex":[0.9987646,0.000537882,0.00006159808,0.0002741657,0.0002484428,0.0001132964],"domain_scores_gemma":[0.996469,0.00228637,0.0003959008,0.0003292573,0.0004115614,0.0001078526],"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":[0.0000212584,0.00001125823,0.004240124,0.00001124113,0.00002777366,0.00004146017,0.00002843956,0.9877977,0.000206179,0.006585245,0.00006980194,0.0009595373],"study_design_scores_gemma":[0.0000162142,0.00002044896,0.001502571,0.00001163135,0.0000184976,0.0000302183,0.00002446606,0.989718,0.0003643818,0.007766966,0.0005108689,0.00001588596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8513705,0.000504068,0.1281434,0.0004809151,0.00004278877,0.0001276845,0.00126835,0.0003843924,0.0176777],"genre_scores_gemma":[0.9917248,0.0001474664,0.006230573,0.00004779253,0.00001151953,0.00005106334,0.0003821764,0.00004846176,0.00135619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01558263,"threshold_uncertainty_score":0.03098387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250111438209016,"score_gpt":0.2174756260892411,"score_spread":0.2049745117071509,"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."}}