{"id":"W4393603417","doi":"10.5281/zenodo.7651505","title":"SuperDARN Grid data in netCDF format (2008-Jan)","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Grid; Computer science; Computer graphics (images); Database; Geology; Geodesy; Operating system","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":[0.0008528547,0.001086147,0.0009121131,0.002860982,0.0008215925,0.002776064,0.002011388,0.001424291,0.2607307],"category_scores_gemma":[0.004474652,0.0007187781,0.0009730342,0.005223695,0.0002652945,0.002442305,0.001764528,0.001864796,0.257542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405474,"about_ca_system_score_gemma":0.001825994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02558675,"about_ca_topic_score_gemma":0.02857101,"domain_scores_codex":[0.9992964,0.00006281235,0.00007863204,0.0001466689,0.0002850862,0.0001303636],"domain_scores_gemma":[0.9980078,0.0002366515,0.0001405254,0.0005107161,0.0009531837,0.0001510588],"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":[0.0000372725,0.000009385167,0.0003834514,0.00009835593,0.000007417873,0.00001499588,0.00001436742,0.0002061109,0.0001122833,0.0005710794,0.9957173,0.002828],"study_design_scores_gemma":[0.00006956085,0.000005051216,0.002130891,0.00007857277,0.000006256394,0.0000248807,0.00005943854,0.0002983294,0.0004256553,0.001369211,0.9955139,0.00001816364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002616166,0.00002846764,0.000591755,0.0001564577,0.0001427375,0.00002675007,0.989354,0.002512117,0.006926117],"genre_scores_gemma":[0.000933646,0.00004587724,0.001658845,0.00008764442,0.00002531191,0.00007207577,0.9910535,0.001420868,0.004702258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2607307,"threshold_uncertainty_score":0.872231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06405549071891589,"score_gpt":0.2742480739267024,"score_spread":0.2101925832077865,"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."}}