{"id":"W4393799969","doi":"10.5281/zenodo.7652615","title":"SuperDARN Grid data in netCDF format (1999-Sep)","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; Meteorology; Geodesy; Programming language; Geography","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":[0.0007704257,0.001000047,0.0007614383,0.003068762,0.0006993132,0.002361024,0.001845268,0.00124931,0.2396411],"category_scores_gemma":[0.003965409,0.0006172909,0.0008010158,0.005896237,0.0002261502,0.001995544,0.001337254,0.001594439,0.2145506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444752,"about_ca_system_score_gemma":0.001717708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03063179,"about_ca_topic_score_gemma":0.02979674,"domain_scores_codex":[0.9993957,0.00004919143,0.00006711544,0.000114229,0.0002629957,0.0001107528],"domain_scores_gemma":[0.9980243,0.0002180754,0.000153707,0.000458282,0.0009925715,0.0001530269],"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":[0.00005447896,0.0000130201,0.0005384713,0.000104737,0.000008473957,0.00002050026,0.00001496496,0.0002992411,0.0001492817,0.000675777,0.9944931,0.003628041],"study_design_scores_gemma":[0.00008376376,0.000006268983,0.003369308,0.00007737806,0.000006684279,0.00002935562,0.00006327803,0.0003599593,0.0005463653,0.001350846,0.9940878,0.00001889395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003106064,0.00002521733,0.0004967091,0.000128109,0.0001181717,0.00002391193,0.9900774,0.001733278,0.007086666],"genre_scores_gemma":[0.001025831,0.00003882996,0.001338333,0.00006456146,0.00002153637,0.00005148614,0.9921849,0.0009321451,0.004342474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2396411,"threshold_uncertainty_score":0.8016794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06946831239223866,"score_gpt":0.2785662117950929,"score_spread":0.2090978994028543,"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."}}