{"id":"W2995644206","doi":"10.1051/0004-6361/201936684","title":"Determining the <sup>56</sup>Ni distribution of type Ia supernovae from observations within days of explosion","year":2019,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Gamma-ray bursts and supernovae","field":"Physics and Astronomy","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Science and Technology Facilities Council; Queen's University; Trinity College Dublin; Higher Education Authority; Queen's University Belfast","keywords":"Supernova; Light curve; Physics; Ejecta; Detonation; Astrophysics; Type (biology); Thermonuclear fusion; Spectral line; Flux (metallurgy); Distribution (mathematics); Radiative transfer; Nuclear physics; Astronomy; Plasma; Chemistry; Optics; Mathematics; Explosive material","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":[0.0008274087,0.0005081483,0.0003308667,0.0007652952,0.0002716514,0.001004095,0.000583692,0.0003584365,0.001064782],"category_scores_gemma":[0.002511428,0.0003572491,0.0008743557,0.0006724019,0.0002753902,0.000709732,0.0004478238,0.0003841112,0.000583122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007920944,"about_ca_system_score_gemma":0.0002868557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003427004,"about_ca_topic_score_gemma":0.005011314,"domain_scores_codex":[0.9998504,0.00002058967,0.00001410765,0.00005110306,0.00003567031,0.00002817011],"domain_scores_gemma":[0.998839,0.0003978044,0.0003378928,0.0002232219,0.0001243613,0.00007776516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004988205,0.00006821362,0.8720264,0.0001165321,0.0001762534,0.0001774225,0.0001314706,0.06698915,0.04394612,0.001256067,0.0002890056,0.01432459],"study_design_scores_gemma":[0.0000156911,0.0001219133,0.786896,0.00001722778,0.00009407847,0.0003384695,0.0001409642,0.179556,0.02934432,0.0016508,0.001786771,0.0000377117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859368,0.0001981156,0.01107842,0.00002323386,0.000005991724,0.00001451879,0.0007684116,0.0001647511,0.00180966],"genre_scores_gemma":[0.9931266,0.0001742961,0.003793606,0.00001100331,0.000007888721,0.00001198896,0.002527915,0.0000649284,0.0002816555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003427004,"threshold_uncertainty_score":0.006814122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719388085837038,"score_gpt":0.2192003394875575,"score_spread":0.2020064586291872,"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."}}