{"id":"W7149351852","doi":"10.70675/b9f81ac1z10fbz4ed5zbbeaza5cd035c7786","title":"Weak lensing analysis of the Canada-France Imaging Survey : from pixels to cosmology, preparation for the Euclid mission","year":2020,"lang":"","type":"dissertation","venue":"","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Distance measurement; High resolution","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":[0.001136502,0.0004058383,0.0002578296,0.002822583,0.001114573,0.001774104,0.0006478402,0.0002550718,0.003189903],"category_scores_gemma":[0.00194359,0.000260603,0.0004533534,0.003440279,0.000354926,0.0004589341,0.000785493,0.0006244634,0.001199867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01499342,"about_ca_system_score_gemma":0.01433609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9332628,"about_ca_topic_score_gemma":0.9679741,"domain_scores_codex":[0.9992011,0.00004689515,0.00001341021,0.0000777232,0.0004906158,0.0001702147],"domain_scores_gemma":[0.9974552,0.00007354085,0.0001204143,0.0001138671,0.001881788,0.0003551331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004105418,0.00009155937,0.5557135,0.0002688719,0.0003685759,0.000465761,0.001589283,0.01121389,0.01709331,0.02097703,0.2378493,0.1539584],"study_design_scores_gemma":[0.00001381128,0.00001504781,0.920181,0.00003911425,0.00002364433,0.00004489653,0.0004166014,0.003309972,0.001773452,0.0006588493,0.07349135,0.00003220775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7147889,0.005832472,0.01711035,0.0126934,0.0003803514,0.000446553,0.1307611,0.001228782,0.1167582],"genre_scores_gemma":[0.8297534,0.001868874,0.03225856,0.001026036,0.0001748053,0.00020404,0.07516107,0.0007120703,0.05884119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06673723,"threshold_uncertainty_score":0.1342605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005890098021025,"score_gpt":0.3187534598636751,"score_spread":0.2986945588834649,"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."}}