{"id":"W4393546502","doi":"10.5281/zenodo.7823806","title":"SuperDARN Grid data in netCDF format (2019-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; 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":[0.0007563976,0.001056994,0.0008109446,0.002468764,0.0007056578,0.002511137,0.001762765,0.001362772,0.2595786],"category_scores_gemma":[0.004024213,0.0005928266,0.0009106411,0.004780095,0.0002643999,0.002369306,0.001718415,0.001620929,0.2637832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136289,"about_ca_system_score_gemma":0.001679959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0275276,"about_ca_topic_score_gemma":0.03228337,"domain_scores_codex":[0.9993789,0.00005416899,0.00006851757,0.0001285972,0.0002384211,0.0001314295],"domain_scores_gemma":[0.9981015,0.0002133863,0.0001412264,0.0004429236,0.0009398322,0.0001611566],"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":[0.00004037476,0.000008519931,0.0004128217,0.0001071974,0.000007258553,0.00001387908,0.00001300485,0.0002041387,0.000110427,0.0004839873,0.9960768,0.002521472],"study_design_scores_gemma":[0.00007773368,0.000005991109,0.002649503,0.0000881037,0.000006120434,0.00002433015,0.00007084289,0.0002910287,0.000404219,0.001322877,0.9950401,0.00001914971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002071456,0.00002300143,0.0003182574,0.0001345289,0.0001219042,0.00001774784,0.9927949,0.00171303,0.004669468],"genre_scores_gemma":[0.0008936941,0.00003909853,0.001023852,0.00008756516,0.0000228477,0.00005053495,0.9932384,0.0009894641,0.003654488],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2595786,"threshold_uncertainty_score":0.8683771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06153590878250002,"score_gpt":0.2749329109662845,"score_spread":0.2133970021837845,"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."}}