{"id":"W4417474779","doi":"10.1103/y7c6-t42s","title":"Mitigating nonlinear systematics in weak lensing surveys. II. Stability and diagnostics with intrinsic alignment","year":2025,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stability (learning theory); Nonlinear system; Weak gravitational lensing; Nonlinear 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":[0.0274041,0.000671489,0.0007309403,0.001799557,0.000639647,0.001853648,0.0009244944,0.00118619,0.001527033],"category_scores_gemma":[0.1292548,0.0004445541,0.000880634,0.001696661,0.001327764,0.0018845,0.002195435,0.0009039161,0.0006094853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000617218,"about_ca_system_score_gemma":0.001442762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002713048,"about_ca_topic_score_gemma":0.00408623,"domain_scores_codex":[0.987642,0.00924351,0.0004888126,0.000935477,0.001363842,0.0003262513],"domain_scores_gemma":[0.9502261,0.03363597,0.006833994,0.003709124,0.005149874,0.0004449773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006791993,0.0000587555,0.3225182,0.002248985,0.001388051,0.0001814328,0.0006499651,0.01346964,0.006374824,0.02015278,0.01040478,0.6218734],"study_design_scores_gemma":[0.0002239017,0.001926134,0.6887105,0.002006639,0.001759889,0.001211966,0.001516386,0.1346459,0.01928402,0.1091448,0.03934817,0.0002217461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2498857,0.0807745,0.6273477,0.02087618,0.001443732,0.0007668613,0.001979506,0.001016653,0.01590917],"genre_scores_gemma":[0.8860105,0.01088676,0.09556074,0.001666627,0.0009808919,0.000299642,0.000818994,0.0001611044,0.003614751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0274041,"threshold_uncertainty_score":0.1449285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03200408477111225,"score_gpt":0.4462529939996617,"score_spread":0.4142489092285494,"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."}}