{"id":"W4393420556","doi":"10.5281/zenodo.7652417","title":"SuperDARN Grid data in netCDF format (2001-Jul)","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; Database; Computer graphics (images); Operating system; Geography; Geodesy","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":[0.0008460444,0.00107456,0.0008670234,0.003103318,0.0008009399,0.002783694,0.001930998,0.001417932,0.2601823],"category_scores_gemma":[0.004470442,0.0007052022,0.000913257,0.006254614,0.0002455876,0.002214152,0.001503007,0.001822983,0.2517917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544446,"about_ca_system_score_gemma":0.001900202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02943447,"about_ca_topic_score_gemma":0.03028907,"domain_scores_codex":[0.9993012,0.00006008155,0.00008009403,0.0001328642,0.0002974762,0.0001283725],"domain_scores_gemma":[0.9978358,0.0002484159,0.0001590421,0.0005251647,0.001065042,0.0001664574],"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":[0.00004638528,0.00001162233,0.0004417933,0.0001066013,0.000008076373,0.00001846014,0.00001533726,0.000256054,0.0001324855,0.000614917,0.9952018,0.003146442],"study_design_scores_gemma":[0.00007469986,0.000005613234,0.002789239,0.00007931409,0.000006650216,0.00002745314,0.00006268777,0.0003231199,0.0004817612,0.001280814,0.9948493,0.0000192974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002717574,0.00002598275,0.0005020817,0.0001370075,0.0001305108,0.00002486279,0.9899177,0.001887159,0.00710286],"genre_scores_gemma":[0.0008938753,0.00003995032,0.001264982,0.00006970829,0.00002178452,0.00005627712,0.9919289,0.001050545,0.004673862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2601823,"threshold_uncertainty_score":0.8703966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07712272508397801,"score_gpt":0.2814329873862894,"score_spread":0.2043102623023114,"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."}}