{"id":"W7067589531","doi":"","title":"Machine learning techniques for galaxy imagery and photometry","year":2023,"lang":"en","type":"dissertation","venue":"K-State Research Exchange (Kansas State University)","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; Planetary Science Division; Science Mission Directorate; Smithsonian Astrophysical Observatory; Max-Planck-Institut für Astronomie; Eötvös Loránd Tudományegyetem; Gordon and Betty Moore Foundation; National Central University; Space Telescope Science Institute; Queen's University; Johns Hopkins University; Queen's University Belfast; National Aeronautics and Space Administration; Durham University; Smithsonian Institution; National Science Foundation","keywords":"Convolutional neural network; Support vector machine; Sky; Deep learning; Artificial neural network; Online machine learning","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003167168,0.001020823,0.00112044,0.004219341,0.0009661719,0.002752722,0.002306169,0.001476408,0.004756066],"category_scores_gemma":[0.01851971,0.0006204415,0.001488586,0.00523746,0.001493326,0.002980775,0.00274758,0.00413259,0.006690788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537097,"about_ca_system_score_gemma":0.00147455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00467011,"about_ca_topic_score_gemma":0.004416132,"domain_scores_codex":[0.9976462,0.0005910888,0.0001432265,0.0004984469,0.001021841,0.00009923056],"domain_scores_gemma":[0.9960049,0.001621293,0.0004588638,0.001004811,0.0008266242,0.0000834641],"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":[0.00004271133,0.00007102983,0.003245717,0.0004210202,0.0001673472,0.0001326647,0.0002806566,0.08407851,0.003534472,0.1287416,0.02641778,0.7528664],"study_design_scores_gemma":[0.00001251417,0.00002723531,0.002483038,0.0001869475,0.00002657228,0.0002054705,0.000125752,0.6332479,0.002739532,0.2987286,0.0621675,0.00004901308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00221695,0.002823884,0.9873533,0.001126336,0.0002650774,0.00006345147,0.000482232,0.002031206,0.003637563],"genre_scores_gemma":[0.1006432,0.006706803,0.8786676,0.0005983851,0.0008659005,0.0003331937,0.002986962,0.0006801193,0.008518001],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004756066,"threshold_uncertainty_score":0.0167498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585097048098886,"score_gpt":0.2996430883687649,"score_spread":0.273792117887776,"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."}}