{"id":"W2117225604","doi":"10.1111/j.1365-2966.2011.19718.x","title":"From weak lensing to non-Gaussianity via Minkowski functionals","year":2011,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Science and Technology Facilities Council","keywords":"Physics; Statistical physics; Bispectrum; Skewness; Weak gravitational lensing; Context (archaeology); Gravitational lensing formalism; Strong gravitational lensing; Dark matter; Ansatz; Minkowski space; Non-Gaussianity; Redshift; Astrophysics; Spectral density; Quantum mechanics; Cosmic microwave background; Statistics; Anisotropy; Mathematics; Galaxy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001108225,0.0004193626,0.0002632303,0.001539209,0.0002720451,0.001134835,0.000423398,0.0002141365,0.001040193],"category_scores_gemma":[0.004780655,0.0002030601,0.0003276805,0.00068435,0.001088095,0.001241125,0.001155066,0.0004809961,0.0001949947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004301284,"about_ca_system_score_gemma":0.0004022221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001210058,"about_ca_topic_score_gemma":0.0008388862,"domain_scores_codex":[0.9998444,0.00006662012,0.000009456458,0.00002431007,0.00003775174,0.0000174589],"domain_scores_gemma":[0.9984861,0.0007507587,0.0002960222,0.0002099352,0.0001219024,0.0001353247],"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":[0.0002430637,0.00003849872,0.03092638,0.0002646144,0.0001107713,0.0006831344,0.0007869111,0.2440625,0.02631901,0.5881069,0.0007993401,0.1076589],"study_design_scores_gemma":[0.00000549968,0.0000360462,0.0117996,0.00002302803,0.0000135099,0.0002246443,0.0001309063,0.7855726,0.004190249,0.1965082,0.001454533,0.00004112172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4268033,0.0003348965,0.5674356,0.000139483,0.00001559542,0.0000277545,0.0001607538,0.0002079323,0.004874672],"genre_scores_gemma":[0.9463058,0.0002938055,0.0522334,0.00003233872,0.00003019534,0.00001562501,0.0001363201,0.00009002326,0.0008623872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001539209,"threshold_uncertainty_score":0.005860925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071692042552464,"score_gpt":0.1925202238902884,"score_spread":0.1818033034647638,"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."}}