{"id":"W4393821715","doi":"10.5281/zenodo.7647836","title":"SuperDARN Grid data in netCDF format (2015-Jan)","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); Geology; Geodesy; Programming language","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":[0.0008902696,0.001090753,0.0008975027,0.002721472,0.0008339293,0.002824705,0.001951877,0.001367047,0.2603391],"category_scores_gemma":[0.004867861,0.0006861482,0.00100232,0.004716838,0.0002899977,0.00255649,0.001957258,0.001758405,0.2575606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356562,"about_ca_system_score_gemma":0.001819225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02569005,"about_ca_topic_score_gemma":0.03099681,"domain_scores_codex":[0.9992772,0.00006767096,0.00008659244,0.0001499423,0.0002829661,0.0001357508],"domain_scores_gemma":[0.9980093,0.0002390855,0.0001397354,0.0004957279,0.0009546875,0.0001614688],"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":[0.00003859617,0.000009646153,0.0004484916,0.0001225942,0.000009004538,0.00001640018,0.0000167759,0.0002334269,0.0001180186,0.0006095225,0.9955894,0.002788227],"study_design_scores_gemma":[0.00007016232,0.000005437007,0.002195974,0.00009475072,0.000007054923,0.00002399137,0.00007051712,0.0002897244,0.000432186,0.001572871,0.9952176,0.00001973177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000242072,0.00003209134,0.0005237976,0.000150218,0.0001515806,0.00002590618,0.990581,0.002416649,0.005876681],"genre_scores_gemma":[0.001026566,0.00005005595,0.001452238,0.00009214709,0.00002678244,0.00006709971,0.9917756,0.001382236,0.004127258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2603391,"threshold_uncertainty_score":0.8709211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06491530366568624,"score_gpt":0.2849500220325832,"score_spread":0.220034718366897,"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."}}