{"id":"W4393718954","doi":"10.5281/zenodo.7822937","title":"SuperDARN Grid data in netCDF format (2021-Apr)","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; Grid cell; Database; Computer graphics (images); Geology; Operating system; 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":[0.0008851999,0.001142481,0.0009144368,0.002590861,0.0007774315,0.002741162,0.00199018,0.001553303,0.2665059],"category_scores_gemma":[0.004310236,0.0006795115,0.001019507,0.004852185,0.0002862246,0.002528625,0.001899205,0.001875094,0.2735431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292267,"about_ca_system_score_gemma":0.001796149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02232223,"about_ca_topic_score_gemma":0.02679698,"domain_scores_codex":[0.9992569,0.00006899821,0.00007909189,0.0001522884,0.0002936385,0.0001490413],"domain_scores_gemma":[0.9979379,0.0002522435,0.0001485418,0.0005296599,0.0009525971,0.0001791407],"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":[0.00004023352,0.0000105753,0.0004043452,0.0001201111,0.000007738705,0.00001509586,0.00001402072,0.0002249591,0.0001355426,0.0005089488,0.9958351,0.002683392],"study_design_scores_gemma":[0.00008626541,0.000006744391,0.002364667,0.00008654129,0.000006182641,0.00002576428,0.00007035006,0.0003217352,0.0004663268,0.001327509,0.9952183,0.00001943966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002171195,0.00002346577,0.000390393,0.0001409176,0.0001298666,0.00002418995,0.9916814,0.002066986,0.005325636],"genre_scores_gemma":[0.0008676146,0.00003639661,0.001300244,0.00009595991,0.00002479942,0.0000642869,0.9930361,0.001171115,0.003403461],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2665059,"threshold_uncertainty_score":0.891551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06182570600301741,"score_gpt":0.2742874747865969,"score_spread":0.2124617687835795,"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."}}