{"id":"W4393556539","doi":"10.5281/zenodo.7652375","title":"SuperDARN Grid data in netCDF format (2001-Dec)","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); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.002307651,0.0003261354,0.0003837885,0.0005937654,0.001235547,0.002672053,0.01231443,0.0002086235,0.0008233883],"category_scores_gemma":[0.0008708127,0.0003465885,0.00006158547,0.001728557,0.0000935421,0.0007611028,0.01343112,0.0006805848,0.05324682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002012107,"about_ca_system_score_gemma":0.00002363091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003726849,"about_ca_topic_score_gemma":0.00001316027,"domain_scores_codex":[0.9959922,0.0006327737,0.0006061209,0.001110094,0.0007988711,0.0008599325],"domain_scores_gemma":[0.9957131,0.00008018498,0.0002278985,0.003391728,0.0003278358,0.0002593079],"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":[0.00000839247,0.00008632223,4.708108e-7,0.0001621328,0.00002930321,0.0001042057,0.0001239941,0.0001351158,0.000003489675,0.0002117885,0.9926339,0.006500903],"study_design_scores_gemma":[0.0003729665,0.0001077044,0.00005437608,0.0001493618,0.000008642431,0.0001563966,0.00003825574,0.00726168,9.256968e-7,0.00006437712,0.9914264,0.000358876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001953324,0.000108843,0.009984191,0.0005389446,0.001171662,0.0005106427,0.9827814,0.001395923,0.003488887],"genre_scores_gemma":[0.0001803516,0.0002602477,0.0002324713,0.0001415423,0.0004619469,5.538497e-8,0.9976705,0.000688734,0.0003641018],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05242343,"threshold_uncertainty_score":0.9998986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07938557056377377,"score_gpt":0.2830772207197885,"score_spread":0.2036916501560147,"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."}}