{"id":"W4393909076","doi":"10.5281/zenodo.7652882","title":"SuperDARN Grid data in netCDF format (1997-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; Computer graphics (images); Database; Meteorology; Geology; Programming language; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.002011047,0.0003286818,0.0003838603,0.0005663706,0.001259907,0.002728954,0.01228253,0.0002088351,0.0006025892],"category_scores_gemma":[0.0007124249,0.0003484031,0.00006484449,0.001667093,0.00009554844,0.0007916509,0.01386626,0.0007908407,0.06723499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001861017,"about_ca_system_score_gemma":0.00002004367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002841376,"about_ca_topic_score_gemma":0.000009249857,"domain_scores_codex":[0.9961032,0.0006291471,0.0006061407,0.001115582,0.000793205,0.0007527773],"domain_scores_gemma":[0.9957997,0.00007882564,0.0002309368,0.003363954,0.0002969888,0.0002295535],"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":[0.000008451412,0.00007965242,3.57806e-7,0.0001779854,0.00003000777,0.0001011861,0.0001577184,0.0001184286,0.000003049727,0.0002737895,0.9917527,0.007296634],"study_design_scores_gemma":[0.0003708561,0.0001091405,0.00004775443,0.000156437,0.000008900122,0.0001533767,0.00004248417,0.006577224,0.000001078084,0.00006848942,0.9921027,0.0003615937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000213214,0.0001127804,0.008598129,0.0005127879,0.001156491,0.0004885726,0.9853314,0.001324582,0.002453926],"genre_scores_gemma":[0.000319405,0.0002045081,0.0001835925,0.0001289131,0.0004649876,5.643047e-8,0.9977261,0.0006790144,0.0002934396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0666324,"threshold_uncertainty_score":0.9998968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06941641804793597,"score_gpt":0.2780623771491188,"score_spread":0.2086459591011828,"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."}}