{"id":"W6945935437","doi":"10.26023/hgs0-yzt3-ds14","title":"WSR-88D KCCX Level2 data in cfradial 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 file; Data set; tar (computing); 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":[0.0009185349,0.001965109,0.001294374,0.003824796,0.001349884,0.00241324,0.003045035,0.001427803,0.07203707],"category_scores_gemma":[0.004451629,0.000919371,0.00103642,0.007075229,0.0005627557,0.001565995,0.002390016,0.001571769,0.1249757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003289924,"about_ca_system_score_gemma":0.005569275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2636811,"about_ca_topic_score_gemma":0.3596036,"domain_scores_codex":[0.9988912,0.00008965843,0.0001254109,0.0002694576,0.0003579681,0.000266362],"domain_scores_gemma":[0.9971201,0.0002994418,0.0002226602,0.0007206743,0.001318685,0.0003184892],"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":[0.00002935007,0.000008719745,0.0006196856,0.0001733813,0.000009944111,0.000009115357,0.00002450198,0.00007705374,0.000136199,0.0001720882,0.997766,0.0009740496],"study_design_scores_gemma":[0.0001216761,0.00001560261,0.01173976,0.0002095176,0.00002276213,0.00004020497,0.0002692823,0.0003110195,0.0007433655,0.0005681184,0.9859116,0.00004710399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001286094,0.00001468294,0.00003723411,0.00003180777,0.00001688775,0.000009343285,0.9988723,0.0003018039,0.0005873158],"genre_scores_gemma":[0.0002457632,0.00001422822,0.0001076929,0.00001440548,0.000003785656,0.00003283959,0.9988275,0.00007690301,0.0006769593],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2636811,"threshold_uncertainty_score":0.5242926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04835714133445009,"score_gpt":0.3120489922954885,"score_spread":0.2636918509610385,"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."}}