{"id":"W6946040323","doi":"10.25740/pknx-5s37","title":"2018 Machine Learning Data Set for NASA's Solar Dynamics Observatory - Atmospheric Imaging Assembly","year":2019,"lang":"en","type":"dataset","venue":"Stanford Digital Repository","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Deliverable; Observatory; Data set; Set (abstract data type); Solar observatory; Scientific instrument; Data processing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002476179,0.00057016,0.0004934469,0.00001737882,0.0004081005,0.000734066,0.001708236,0.0002762264,0.001566002],"category_scores_gemma":[0.0002249829,0.0005763871,0.0002054012,0.0002191238,0.0002491629,0.001518512,0.002028695,0.0005482485,0.001244767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002189727,"about_ca_system_score_gemma":0.00009259919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005900579,"about_ca_topic_score_gemma":0.0006047945,"domain_scores_codex":[0.9967629,0.00004189313,0.0005985015,0.001087323,0.0007681632,0.0007411754],"domain_scores_gemma":[0.9971858,0.0001573199,0.0005326428,0.001848139,0.00003818031,0.0002378947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005974699,0.00007428165,0.01272527,0.0001530294,0.000043631,0.00003498453,0.000007824396,0.00003116396,0.00002347816,0.000005262206,0.9855768,0.00126451],"study_design_scores_gemma":[0.0003956847,0.0001022004,0.001492367,0.00004156375,0.00008281716,0.00004305744,0.0004546986,0.008246522,0.000007055419,0.000007956162,0.9884614,0.0006646236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00129225,0.0003911181,0.0003603619,0.00003715792,0.001629928,0.00058752,0.986576,0.000118442,0.009007215],"genre_scores_gemma":[0.001209393,0.0001256391,0.00006995005,0.0001920501,0.0001489354,0.00003999995,0.99129,0.00007233355,0.006851747],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0112329,"threshold_uncertainty_score":0.9996688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03618677637857498,"score_gpt":0.2662768372726835,"score_spread":0.2300900608941085,"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."}}