{"id":"W4393844688","doi":"10.5281/zenodo.7823520","title":"SuperDARN Grid data in netCDF format (2020-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; Geology; Database; Computer graphics (images); Computer science; Meteorology; 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":[0.0007955168,0.00106545,0.0008098288,0.002500671,0.0006844181,0.002466462,0.001790099,0.00136402,0.2322129],"category_scores_gemma":[0.003728886,0.000616521,0.0009365358,0.004708422,0.0002581363,0.0022624,0.001675513,0.001624712,0.2374315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240049,"about_ca_system_score_gemma":0.001667236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0243964,"about_ca_topic_score_gemma":0.02803646,"domain_scores_codex":[0.9993777,0.00005578581,0.00006496465,0.0001301066,0.0002430914,0.0001284911],"domain_scores_gemma":[0.998225,0.0001996847,0.0001355194,0.0004376401,0.0008445192,0.0001576353],"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":[0.00004270015,0.00001050292,0.0004886629,0.0001191962,0.000008451764,0.00001544205,0.00001411327,0.000251858,0.0001393106,0.000544497,0.9954792,0.002885993],"study_design_scores_gemma":[0.00007953173,0.000006229193,0.002677652,0.00008448195,0.000006436104,0.000025205,0.00006895163,0.0003425793,0.0004803285,0.00133517,0.9948743,0.00001917018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002257893,0.00002297921,0.0003576513,0.0001204244,0.0001105326,0.00001947432,0.9924584,0.001778184,0.004906425],"genre_scores_gemma":[0.0009451841,0.00003721784,0.001203141,0.00008523036,0.00002184974,0.00005444499,0.9934371,0.001006856,0.003208893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2322129,"threshold_uncertainty_score":0.7768294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05684601200529837,"score_gpt":0.2744499721909358,"score_spread":0.2176039601856374,"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."}}