{"id":"W4393543382","doi":"10.5281/zenodo.7651475","title":"SuperDARN Grid data in netCDF format (2008-Mar)","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; Data format; Computer science; Grid cell; Computer graphics (images); Database; Geology; Programming language; Geodesy; Computer hardware","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":[0.0008861666,0.001099818,0.0009165315,0.002881602,0.0007894043,0.002731309,0.002069958,0.001393856,0.2442725],"category_scores_gemma":[0.004462034,0.0006929474,0.0009695316,0.005203925,0.0002692131,0.002414643,0.001721345,0.001914953,0.2371376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335118,"about_ca_system_score_gemma":0.001774913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02525036,"about_ca_topic_score_gemma":0.02912375,"domain_scores_codex":[0.9992709,0.00006558485,0.00007887562,0.0001497661,0.0002994282,0.0001354928],"domain_scores_gemma":[0.9979645,0.0002376553,0.000153567,0.00051605,0.0009736818,0.0001546541],"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":[0.00004172623,0.00001045309,0.0004392972,0.0001090532,0.000008400845,0.0000168542,0.00001520211,0.0002526764,0.0001348489,0.0005763747,0.9953594,0.003035797],"study_design_scores_gemma":[0.00007667809,0.000005655163,0.002386869,0.00007946933,0.000006753539,0.00002669902,0.0000604241,0.0003561069,0.000478605,0.001381162,0.9951219,0.00001967242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002944586,0.00003026769,0.0006384965,0.0001561185,0.0001450201,0.0000277155,0.989323,0.002675092,0.006709797],"genre_scores_gemma":[0.001050193,0.0000446775,0.001842461,0.0000872095,0.00002714871,0.00007110349,0.9911098,0.001480372,0.004287032],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2442725,"threshold_uncertainty_score":0.8171728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06166615216294406,"score_gpt":0.2729355716708299,"score_spread":0.2112694195078859,"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."}}