{"id":"W4309003329","doi":"10.3847/1538-3881/ac9b1c","title":"Weak Lensing in the Blue: A Counter-intuitive Strategy for Stratospheric Observations","year":2022,"lang":"en","type":"article","venue":"The Astronomical Journal","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; University of Toronto; Centre National d’Etudes Spatiales; Durham University; Royal Society; Canadian Institute for Advanced Research; California Institute of Technology; National Aeronautics and Space Administration","keywords":"Physics; Redshift; Astrophysics; Galaxy; Weak gravitational lensing; Wavelength; Observatory; Astronomy; Optics","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":[0.001320621,0.0003757539,0.0003376916,0.0004894093,0.0004950798,0.001138299,0.0005671359,0.0003310406,0.001088541],"category_scores_gemma":[0.00459442,0.0001471642,0.0002808438,0.0004832218,0.0006736706,0.001244923,0.0009363078,0.0006090977,0.00009847157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005491917,"about_ca_system_score_gemma":0.0004489361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01694448,"about_ca_topic_score_gemma":0.01742888,"domain_scores_codex":[0.9995796,0.0002071017,0.00001684549,0.00008308471,0.00006073432,0.0000525861],"domain_scores_gemma":[0.9988619,0.0004968233,0.0001544024,0.000246591,0.0001085968,0.0001316216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008847684,0.0001461818,0.3864011,0.0001582903,0.0005143069,0.0004979448,0.0007599025,0.4287318,0.03748647,0.07643928,0.005990632,0.06198922],"study_design_scores_gemma":[0.0001843714,0.0003588279,0.1166432,0.00006909431,0.0001679539,0.000236476,0.0004966348,0.8083972,0.02517962,0.03835469,0.0098421,0.00006986073],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9248168,0.000216241,0.06553176,0.001570718,0.00003363696,0.0000412658,0.0006693251,0.0005430858,0.006577217],"genre_scores_gemma":[0.9891451,0.00004698494,0.01001128,0.0001882697,0.00001447331,0.00001241495,0.0001448144,0.00004772985,0.0003889967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01694448,"threshold_uncertainty_score":0.0336917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03138093629536196,"score_gpt":0.2514353584553752,"score_spread":0.2200544221600133,"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."}}