{"id":"W7028240076","doi":"","title":"The electromagnetic counterpart of the binary neutron star merger LIGO/Virgo GW170817. II. UV, optical, and near-infrared light curves and comparison to kilonova models","year":2017,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Gamma-ray bursts and supernovae","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dark energy; Kilonova; Research council; Cosmology; Light curve; Neutron star","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002587353,0.0003946114,0.0002686405,0.001135534,0.00060363,0.001064398,0.0005050417,0.0007072726,0.00236784],"category_scores_gemma":[0.0005857766,0.0002164514,0.0004511889,0.0007665823,0.0004587793,0.0006669524,0.0008983894,0.0005287228,0.0005059612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009757557,"about_ca_system_score_gemma":0.0002349068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002471318,"about_ca_topic_score_gemma":0.002324292,"domain_scores_codex":[0.9999361,0.00001002803,0.000002002552,0.00002055295,0.00001014181,0.00002113271],"domain_scores_gemma":[0.9997171,0.00004058195,0.0001021238,0.00003312809,0.00002169934,0.0000853823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005423423,0.0006961707,0.3188554,0.0007259267,0.0004878137,0.006522285,0.002133708,0.1032995,0.09324885,0.3365585,0.044494,0.08755434],"study_design_scores_gemma":[0.0004047331,0.0003139953,0.655474,0.0001494303,0.0001943029,0.001683257,0.0009786648,0.2467953,0.00500304,0.06692913,0.02194706,0.0001271642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695036,0.0007589213,0.001374123,0.0006018509,0.00008332462,0.00002241104,0.0009263828,0.0002804805,0.02644885],"genre_scores_gemma":[0.9978883,0.00009272511,0.0003279572,0.00006027452,0.00003492229,0.00000774187,0.000677855,0.00005189971,0.0008582306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002471318,"threshold_uncertainty_score":0.007921278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675970820877109,"score_gpt":0.2428810757356681,"score_spread":0.226121367526897,"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."}}