{"id":"W4393510179","doi":"10.5281/zenodo.7652961","title":"SuperDARN Grid data in netCDF format (1995-Dec)","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; Meteorology; Computer graphics (images); Geology; Geodesy; Operating system; 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":[0.000741111,0.0009820684,0.00073148,0.003227089,0.0006776878,0.002334355,0.001743678,0.0009840089,0.2118765],"category_scores_gemma":[0.003996334,0.0005822662,0.0006755952,0.006450024,0.0002038747,0.001739383,0.001190779,0.001377506,0.1741829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001793996,"about_ca_system_score_gemma":0.002096112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0507443,"about_ca_topic_score_gemma":0.04391784,"domain_scores_codex":[0.9993418,0.00005094567,0.00007526926,0.0001202781,0.0002960807,0.0001156902],"domain_scores_gemma":[0.9979512,0.0001958157,0.0001637432,0.0004363175,0.001108877,0.0001441238],"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":[0.00004952699,0.000009865538,0.0005772244,0.00008778027,0.000008358572,0.00001790676,0.00001407846,0.0002828663,0.0001148145,0.0007632216,0.9944136,0.003660794],"study_design_scores_gemma":[0.00005988581,0.000004966907,0.003464654,0.00006492694,0.000006146552,0.00002464873,0.00006233645,0.0002432714,0.0004090281,0.001035383,0.9946094,0.0000153959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002997428,0.0000281721,0.0003743919,0.0001146435,0.0001085279,0.00002142281,0.9913585,0.001058461,0.006636119],"genre_scores_gemma":[0.001080028,0.00004319305,0.001114608,0.00005497456,0.00001991888,0.00004871373,0.9926407,0.0006018422,0.004396143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2118765,"threshold_uncertainty_score":0.7087976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07373893557921436,"score_gpt":0.2803789145457634,"score_spread":0.2066399789665491,"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."}}