{"id":"W6889680908","doi":"10.26023/cs31-pbpe-es0c","title":"WSR-88D KTYX 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":[0.0006721523,0.001784,0.001253834,0.003062977,0.001196975,0.002259457,0.002567759,0.00127643,0.0802451],"category_scores_gemma":[0.003612471,0.0008199196,0.0009245128,0.006403533,0.0005039119,0.001567772,0.002334628,0.001535185,0.124796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002839902,"about_ca_system_score_gemma":0.004453398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2241014,"about_ca_topic_score_gemma":0.3146021,"domain_scores_codex":[0.9991348,0.00006285989,0.0000933316,0.0002172561,0.0002747792,0.0002168779],"domain_scores_gemma":[0.9980472,0.0001957804,0.0001679157,0.000510784,0.0008309293,0.0002473797],"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":[0.00003031726,0.000008273448,0.0005644663,0.0001573425,0.000009669025,0.000009263781,0.00002013999,0.0000750499,0.000162978,0.0001665695,0.9977444,0.001051603],"study_design_scores_gemma":[0.0001312166,0.00001468908,0.01185468,0.0001751029,0.00002100549,0.00003757075,0.0002481917,0.0003045578,0.0008106475,0.0006053107,0.9857559,0.00004117259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001380477,0.00001531287,0.00003910973,0.00003383094,0.00001965067,0.000008224589,0.9988443,0.0003050799,0.00059649],"genre_scores_gemma":[0.0002774419,0.00001610453,0.000118154,0.0000127939,0.000004357715,0.00002960464,0.9986786,0.00007930966,0.000783615],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2241014,"threshold_uncertainty_score":0.445594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04852730374863058,"score_gpt":0.3121804069501151,"score_spread":0.2636531032014845,"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."}}