{"id":"W4393811631","doi":"10.5281/zenodo.7650475","title":"SuperDARN Grid data in netCDF format (2011-May)","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; Geology; Programming language; 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":[0.0009146651,0.001102451,0.0008975852,0.002946937,0.0008750645,0.002880822,0.001970551,0.001419264,0.2548696],"category_scores_gemma":[0.004546073,0.0006972101,0.001004168,0.005597917,0.0002799466,0.002499646,0.001801306,0.001855273,0.242788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500408,"about_ca_system_score_gemma":0.001976027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02884492,"about_ca_topic_score_gemma":0.03573243,"domain_scores_codex":[0.9992409,0.00007131178,0.00008510048,0.0001508869,0.0003020267,0.0001498434],"domain_scores_gemma":[0.9978808,0.0002445951,0.0001543474,0.0005339027,0.001012148,0.0001740633],"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":[0.000043943,0.00001089093,0.0004705601,0.0001211768,0.00000889089,0.00001801567,0.00001681635,0.0002644159,0.0001301519,0.0006120168,0.9953535,0.00294959],"study_design_scores_gemma":[0.00006838707,0.000005428243,0.00260315,0.00008385123,0.000007007459,0.00002647509,0.00007239818,0.0003223798,0.0004714511,0.001395601,0.9949228,0.00002108982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002626778,0.00002857884,0.0005309467,0.0001427735,0.0001357295,0.00002559529,0.9901468,0.002248664,0.006478237],"genre_scores_gemma":[0.0009610138,0.00004406871,0.001485133,0.00008160934,0.00002359357,0.00006217808,0.9919709,0.001230965,0.004140546],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2548696,"threshold_uncertainty_score":0.8526239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07023540346251217,"score_gpt":0.2780824359027161,"score_spread":0.2078470324402039,"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."}}