{"id":"W6946100867","doi":"10.26023/nff7-9zsc-0a0b","title":"UAH MIPS 915 MHz Profiler NIMA-processed Consensus Wind and Moments 30-minute Data. Version 1.0","year":2014,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wind profiler; ASCII; Data set; Set (abstract data type); Wind speed","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00219869,0.001456297,0.001475302,0.0005950675,0.0006126058,0.0007183038,0.002782468,0.001138489,0.001254636],"category_scores_gemma":[0.001763059,0.001547301,0.00008401767,0.001332697,0.000557675,0.0008604733,0.002797095,0.001684489,0.01778499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839534,"about_ca_system_score_gemma":0.001535274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003642689,"about_ca_topic_score_gemma":0.0003066475,"domain_scores_codex":[0.9921724,0.0009078204,0.001120757,0.00267394,0.001744416,0.001380639],"domain_scores_gemma":[0.9909192,0.0003789614,0.001344432,0.005516339,0.001054868,0.0007862087],"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":[0.0001936087,0.0001767549,0.0007007718,0.001856537,0.0003127922,0.0001872144,0.00005432863,0.00001610783,0.003617534,9.248413e-7,0.9928173,0.00006606994],"study_design_scores_gemma":[0.00210518,0.0001546515,0.004942514,0.001068198,0.0005143819,0.00001425889,0.0001139014,0.0001882143,0.0005118047,0.000006115498,0.988795,0.00158574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08743817,0.003142363,7.987123e-7,0.0001066529,0.001349717,0.001100634,0.9064326,0.0003893548,0.00003968494],"genre_scores_gemma":[0.000464469,0.000249349,0.0009748272,0.0009531433,0.0009011176,0.00003816979,0.9956521,0.0004039229,0.0003628676],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08921951,"threshold_uncertainty_score":0.9998187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03897175716157261,"score_gpt":0.2707026123102573,"score_spread":0.2317308551486847,"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."}}