{"id":"W4393744459","doi":"10.5281/zenodo.7387133","title":"Wallops SuperDARN data in netCDF format (2022-Nov)","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Computer science; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009909902,0.001420592,0.00101028,0.002605725,0.0009398168,0.003192043,0.002241931,0.001745633,0.3336148],"category_scores_gemma":[0.004368127,0.00083607,0.001043357,0.004364731,0.0003306778,0.002858197,0.002244268,0.002221773,0.3548783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307279,"about_ca_system_score_gemma":0.0019476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02289721,"about_ca_topic_score_gemma":0.02623148,"domain_scores_codex":[0.9991686,0.00007155514,0.0000838854,0.0001652329,0.0003343677,0.0001763764],"domain_scores_gemma":[0.9978046,0.0002564516,0.0001681876,0.0005890272,0.0009702049,0.0002115341],"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":[0.00004650374,0.00001059004,0.0003320237,0.000124274,0.000007711761,0.00002024064,0.00001448671,0.0001723119,0.0001741261,0.000343659,0.9959382,0.002815909],"study_design_scores_gemma":[0.00009474397,0.000008523511,0.002311454,0.0001088647,0.000007714815,0.00003330155,0.00006941957,0.0002793418,0.0006325165,0.001061971,0.995366,0.0000261843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002311656,0.000027716,0.0004274688,0.0001238402,0.000146517,0.00002629835,0.9908158,0.001938841,0.0062623],"genre_scores_gemma":[0.0007224632,0.00003697919,0.001036613,0.00008022722,0.00002864778,0.00006471534,0.9927776,0.001294047,0.003958775],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3336148,"threshold_uncertainty_score":0.9505176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06468294238788516,"score_gpt":0.3186579558859812,"score_spread":0.253975013498096,"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."}}