{"id":"W6908242342","doi":"10.26023/p2ys-qajt-ne0x","title":"WSR-88D KBGM 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":[0.0009614134,0.001906218,0.001295326,0.003809022,0.001327231,0.002040312,0.003006117,0.001533313,0.06272995],"category_scores_gemma":[0.004787066,0.0009659859,0.001039731,0.00741902,0.0005695723,0.00167947,0.002588895,0.001617653,0.1154686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002954965,"about_ca_system_score_gemma":0.004920717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2236055,"about_ca_topic_score_gemma":0.3089342,"domain_scores_codex":[0.9989043,0.00009790344,0.0001279515,0.0002763328,0.0003517866,0.0002416402],"domain_scores_gemma":[0.997265,0.0003059469,0.0002253655,0.0007037547,0.001193561,0.0003063799],"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":[0.00003133152,0.00001002113,0.0005408586,0.00021577,0.00001065847,0.00001042289,0.0000306981,0.00008134455,0.0001860783,0.0001708154,0.9975864,0.001125668],"study_design_scores_gemma":[0.0001161247,0.00001438412,0.01078065,0.000229833,0.00002126298,0.00003851165,0.0002670107,0.0002721854,0.000751743,0.0006247485,0.98684,0.00004343249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00013435,0.00001626657,0.00004206091,0.00003625904,0.00001821924,0.000009486987,0.9988348,0.0003436562,0.0005649551],"genre_scores_gemma":[0.0002381983,0.00001510267,0.0001423046,0.00001609663,0.000003685324,0.00003756533,0.9988831,0.00007582118,0.0005881842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2236055,"threshold_uncertainty_score":0.4446079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04840370178690988,"score_gpt":0.3120852350366561,"score_spread":0.2636815332497462,"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."}}