{"id":"W4393734447","doi":"10.5281/zenodo.7652972","title":"SuperDARN Grid data in netCDF format (1995-Oct)","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; Computer graphics (images); Grid cell; Database; Geology; Programming language; 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":[0.000722162,0.0009538512,0.0007320661,0.003013294,0.0007026551,0.002380166,0.001706446,0.001043018,0.2228051],"category_scores_gemma":[0.003864028,0.0005856301,0.0007079199,0.005944128,0.0002118599,0.001797777,0.00123414,0.001375386,0.1863681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769301,"about_ca_system_score_gemma":0.002065191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05104693,"about_ca_topic_score_gemma":0.04656585,"domain_scores_codex":[0.9993811,0.00004595142,0.00006735349,0.0001107765,0.0002824891,0.0001123637],"domain_scores_gemma":[0.9980386,0.0001827182,0.0001460862,0.000419915,0.001067459,0.0001452453],"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":[0.00005053978,0.000009682884,0.0005338503,0.00008279679,0.000007683298,0.00001835562,0.00001419485,0.0002689596,0.0001178642,0.0006926862,0.9945978,0.003605514],"study_design_scores_gemma":[0.00006389216,0.000005215713,0.003558187,0.00006605234,0.000006151282,0.0000248716,0.00006310517,0.0002563336,0.0004331453,0.001024909,0.994482,0.00001613516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003196624,0.00002936596,0.0004212088,0.0001262517,0.0001207513,0.00002358042,0.9901519,0.001318992,0.007488206],"genre_scores_gemma":[0.001145487,0.00004332015,0.001174126,0.00005995062,0.00002156332,0.00005036452,0.9918438,0.0007085645,0.00495292],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2228051,"threshold_uncertainty_score":0.7453575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07122230384311481,"score_gpt":0.2794674266163122,"score_spread":0.2082451227731974,"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."}}