{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006002552,0.001474325,0.001014256,0.002340156,0.0008159112,0.001273984,0.002652848,0.001107092,0.01660989],"category_scores_gemma":[0.001829292,0.0006798296,0.0008063355,0.00452538,0.0003950794,0.0009179311,0.001203279,0.001351116,0.03041898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547472,"about_ca_system_score_gemma":0.00273258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1475199,"about_ca_topic_score_gemma":0.2304025,"domain_scores_codex":[0.9994522,0.00004411553,0.00004918815,0.0001122473,0.0002202766,0.0001219095],"domain_scores_gemma":[0.9987817,0.00007548285,0.0001242795,0.0003267949,0.0005645282,0.0001272279],"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":[0.00008764562,0.00003921714,0.003252825,0.0002549683,0.00005111115,0.00003898999,0.00004412511,0.0008355168,0.0004985196,0.000315519,0.9908308,0.003750815],"study_design_scores_gemma":[0.000206063,0.00001996076,0.03175957,0.0001419267,0.00003887345,0.0000565913,0.0001751622,0.001597265,0.001701985,0.0006582158,0.9635893,0.00005509389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006720609,0.00002572663,0.0001240636,0.00003368749,0.00002559771,0.00001677521,0.9977766,0.0005048125,0.0008207082],"genre_scores_gemma":[0.0008287427,0.00001733464,0.0003176349,0.00001015358,0.000005502451,0.000030193,0.9982186,0.00005859813,0.0005133304],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1475199,"threshold_uncertainty_score":0.2933226,"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."}}