{"id":"W2934274160","doi":"10.1093/mnras/stz969","title":"An observational test for star formation prescriptions in cosmological hydrodynamical simulations","year":2019,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leibniz-Rechenzentrum; H2020 European Research Council; Leibniz-Gemeinschaft; Gauss Centre for Supercomputing; New York University Abu Dhabi; Max-Planck-Institut für Astronomie; Deutsche Forschungsgemeinschaft; York University","keywords":"Physics; Astrophysics; Star formation; Galaxy; Stellar mass; Stellar density; Power law; Correlation function (quantum field theory); Star (game theory); Statistics","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":[0.007553644,0.0004519831,0.000511564,0.0005156563,0.0007608812,0.001506395,0.001929119,0.001472133,0.001907567],"category_scores_gemma":[0.05535407,0.0002855438,0.000628633,0.0005081449,0.001371546,0.001466962,0.001212005,0.001111353,0.0001946303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035284,"about_ca_system_score_gemma":0.001169963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01295127,"about_ca_topic_score_gemma":0.004703211,"domain_scores_codex":[0.9983065,0.0009307843,0.0001142447,0.0003242295,0.0001618334,0.0001623921],"domain_scores_gemma":[0.9398528,0.04401845,0.006037608,0.005315906,0.002106602,0.002668743],"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":[0.001311225,0.0006871595,0.3019673,0.0001979704,0.0005090888,0.000292217,0.0006668475,0.6446264,0.004403064,0.03510545,0.002315671,0.007917621],"study_design_scores_gemma":[0.0001516076,0.000206378,0.0242401,0.0000253516,0.00004421721,0.0000287412,0.0001248937,0.9695304,0.000822808,0.004387406,0.0004170452,0.00002115347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991649,0.00006022937,0.005171198,0.0005166419,0.00001892532,0.00002832999,0.0004356147,0.0001612143,0.001958866],"genre_scores_gemma":[0.9975414,0.00001757183,0.00196066,0.00006201593,0.00001056593,0.00002027113,0.0002782677,0.00002932587,0.00007987114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01295127,"threshold_uncertainty_score":0.03994799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772582297887005,"score_gpt":0.230167586823327,"score_spread":0.212441763844457,"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."}}