{"id":"W6964745085","doi":"10.26023/tc20-gn8t-p0y","title":"WSR-88D Level3 data (KBGM,KBUF,KCCX,KENX,KTYX), nids format. Daily tar archives with CIDD/JADE directory structure.. Version 1.0","year":2014,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Directory; tar (computing); Data set; Data file; Data archive; Set (abstract data type)","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":[0.0008493954,0.001656365,0.001152361,0.003176833,0.001154748,0.001991475,0.003226285,0.001276227,0.06603525],"category_scores_gemma":[0.004157078,0.0009626201,0.0009790298,0.006528156,0.0004837633,0.001213153,0.002041536,0.001449588,0.08939096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003501072,"about_ca_system_score_gemma":0.005396484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2887352,"about_ca_topic_score_gemma":0.3934586,"domain_scores_codex":[0.9991094,0.00007085421,0.0001021755,0.0002117623,0.0002950109,0.000210673],"domain_scores_gemma":[0.9977429,0.0002803527,0.0002130746,0.0005430749,0.0009068848,0.0003137727],"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":[0.00003122059,0.000008536203,0.0009336858,0.0002419719,0.00001421075,0.00001093727,0.00002663497,0.0001041838,0.0001345957,0.0002147706,0.9973978,0.0008814498],"study_design_scores_gemma":[0.000150018,0.00001075123,0.01454903,0.0001933102,0.0000273059,0.0000384383,0.0002032326,0.0003552127,0.0005796529,0.0007200414,0.983138,0.00003509416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001035285,0.00001221346,0.00003198592,0.00002540235,0.000008469956,0.000005096502,0.9992101,0.0002106864,0.0003924561],"genre_scores_gemma":[0.0002517546,0.00001357804,0.0001042754,0.0000109292,0.000002056973,0.00002693474,0.99905,0.00006824132,0.0004722326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2887352,"threshold_uncertainty_score":0.5741091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980733769706357,"score_gpt":0.2668006371836569,"score_spread":0.2369932994865933,"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."}}