{"id":"W6945960194","doi":"10.26023/jd1k-z29t-010p","title":"UAH MIPS 915 MHz Profiler NIMA-processed Consensus Wind and Moments 10-minute Data. Version 1.0","year":2014,"lang":"en","type":"dataset","venue":"Open MIND","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":[0.0007657927,0.00172422,0.001128804,0.00243294,0.0009472972,0.001550563,0.003078749,0.001678742,0.02042725],"category_scores_gemma":[0.002467151,0.0006828396,0.001074864,0.004489109,0.0004839298,0.001111777,0.001657033,0.001465266,0.04112962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546375,"about_ca_system_score_gemma":0.002565219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1049869,"about_ca_topic_score_gemma":0.17752,"domain_scores_codex":[0.999337,0.00006493798,0.0000630536,0.0001563213,0.0002342191,0.000144469],"domain_scores_gemma":[0.9987469,0.0001308912,0.0001324773,0.0003541837,0.0004981272,0.0001373708],"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":[0.00007292804,0.00003000511,0.002398744,0.0003458926,0.00004392484,0.0000393873,0.00004589778,0.000719933,0.000340709,0.0003513685,0.9922501,0.003361266],"study_design_scores_gemma":[0.0001869881,0.00001928926,0.01933477,0.0001859884,0.00003626489,0.00005726091,0.0001948064,0.001206666,0.001052443,0.0009469154,0.9767163,0.00006239131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004119293,0.00003127976,0.0001040365,0.00004013107,0.00002815244,0.00001307918,0.9982925,0.0004372356,0.0006417041],"genre_scores_gemma":[0.0006831496,0.00002144972,0.0002975411,0.00001424776,0.000007543754,0.00003747138,0.9983721,0.00006092505,0.0005055039],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1049869,"threshold_uncertainty_score":0.2087517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08941106843043732,"score_gpt":0.3473877182052879,"score_spread":0.2579766497748505,"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."}}