{"id":"W4392268156","doi":"","title":"Modélisation sans catalogue des types de galaxies dans les relevés profonds : compression extrême d'images par réseaux de neurones","year":2021,"lang":"en","type":"preprint","venue":"theses.fr (ABES)","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reduction (mathematics); Artificial neural network; Galaxy; Computer science; Artificial intelligence; Astrophysics; Physics; Mathematics; Geometry","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":[0.0004148623,0.0007270458,0.0005726844,0.000437324,0.0003617109,0.001275911,0.001473036,0.001162811,0.00264657],"category_scores_gemma":[0.001490019,0.0004584345,0.001292047,0.0005076274,0.000474117,0.001143147,0.000634654,0.001089361,0.0006725499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324214,"about_ca_system_score_gemma":0.001002477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04202237,"about_ca_topic_score_gemma":0.02934461,"domain_scores_codex":[0.999848,0.00001753254,0.000007047899,0.00005921219,0.00003803774,0.00003018353],"domain_scores_gemma":[0.9995981,0.0001629925,0.0000393901,0.00007842357,0.00009282997,0.00002823262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001360234,0.00004019525,0.005293459,0.00008175538,0.00008434751,0.0001041344,0.0001577684,0.9528995,0.009994656,0.002952167,0.0006780323,0.02757793],"study_design_scores_gemma":[0.000009432065,0.00002670264,0.001577238,0.000008133245,0.00002065304,0.00003578777,0.00002626685,0.9929909,0.003476715,0.0009972466,0.0008200103,0.00001108035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5800429,0.0009299893,0.4066088,0.0005572121,0.0001539493,0.0001227508,0.001286266,0.002484682,0.007813391],"genre_scores_gemma":[0.9205222,0.0006038494,0.06687978,0.0001095799,0.0000361186,0.0002215163,0.00105516,0.0002193203,0.01035249],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04202237,"threshold_uncertainty_score":0.08355558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03931247024709165,"score_gpt":0.2979771298233824,"score_spread":0.2586646595762908,"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."}}