{"id":"W6908412920","doi":"10.26023/7r6b-xmj4-x003","title":"WSR-88D Level3 data (KBGM,KBUF,KCCX,KENX,KTYX) in mdv format. Daily tar archives with CIDD/JADE directory structure.. 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":"Directory; Data set; Data file; tar (computing); Data archive; Metadata","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":[0.0007169225,0.001978524,0.001268323,0.003036082,0.001167645,0.002019213,0.002966753,0.001416889,0.05656511],"category_scores_gemma":[0.003264312,0.0009100963,0.00108799,0.006266612,0.0004848627,0.001403586,0.002000954,0.001535542,0.09571263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003047854,"about_ca_system_score_gemma":0.00458376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2758462,"about_ca_topic_score_gemma":0.3803108,"domain_scores_codex":[0.9991542,0.00007196115,0.00009232674,0.0002165322,0.0002674995,0.0001974934],"domain_scores_gemma":[0.9981741,0.0002046152,0.000164795,0.0004441382,0.0007721559,0.0002402093],"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":[0.00002768296,0.000008783612,0.0006816615,0.0001828859,0.00001307906,0.00001116575,0.00002456425,0.0001212059,0.0001230894,0.0001715036,0.9977064,0.0009279273],"study_design_scores_gemma":[0.0001466497,0.00001269358,0.01352583,0.0001996324,0.00002639822,0.00004087701,0.0002464017,0.0004558602,0.0006002911,0.0006726634,0.9840268,0.00004574106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001217602,0.00001363228,0.00003564528,0.00003058239,0.0000133156,0.00000636692,0.9990886,0.0002418393,0.000448303],"genre_scores_gemma":[0.000254514,0.00001326163,0.0001021051,0.00001021595,0.000002962915,0.00002588999,0.999063,0.00005576883,0.0004723009],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2758462,"threshold_uncertainty_score":0.5484813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05704399579363995,"score_gpt":0.3195130377363494,"score_spread":0.2624690419427095,"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."}}