{"id":"W4407788541","doi":"10.1051/0004-6361/202451117","title":"CANUCS: Constraining the MACS J0416.1-2403 strong lensing model with JWST NIRISS, NIRSpec, and NIRCam","year":2025,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Javna Agencija za Raziskovalno Dejavnost RS; Canadian Space Agency; Space Telescope Science Institute; Canarie; Canadian Foundation for AIDS Research; National Aeronautics and Space Administration","keywords":"Physics; James Webb Space Telescope; Exoplanet; Astronomy; Astrophysics; Astrobiology; Stars; Telescope","routes":{"ca_aff":false,"ca_fund":true,"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":[0.00171212,0.001102877,0.0006578304,0.003714206,0.001895481,0.001454162,0.001644414,0.0005710399,0.002851532],"category_scores_gemma":[0.00417384,0.0005442029,0.0009714789,0.003020846,0.0005890185,0.0005540929,0.00147844,0.0005950439,0.001192911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006588423,"about_ca_system_score_gemma":0.006290298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6550462,"about_ca_topic_score_gemma":0.6894045,"domain_scores_codex":[0.9990331,0.0001017264,0.00003765925,0.0002740556,0.0003239909,0.0002295877],"domain_scores_gemma":[0.9979671,0.0001936812,0.000388142,0.0004176648,0.0006124288,0.0004209675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009917588,0.0001836501,0.6808561,0.0006023918,0.001163073,0.0006286757,0.0007472953,0.06861413,0.0144083,0.01008989,0.1599191,0.0617956],"study_design_scores_gemma":[0.0003982064,0.0001095898,0.6951354,0.0001441589,0.0005106351,0.0002686896,0.000520164,0.1875152,0.006937155,0.003804293,0.1044501,0.0002063924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9007064,0.001454085,0.01263109,0.0006110743,0.0001186424,0.0001951902,0.06507707,0.004845237,0.01436115],"genre_scores_gemma":[0.8411785,0.0003523883,0.02124976,0.0002105791,0.0001097548,0.0001109944,0.1337931,0.0009605546,0.00203426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6550462,"threshold_uncertainty_score":0.6939707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006870081701030693,"score_gpt":0.1982417714204072,"score_spread":0.1913716897193765,"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."}}