{"id":"W4393792055","doi":"10.5281/zenodo.6811588","title":"SuperDARN data in netCDF format (1995-Jun)","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Computer science; Computer graphics (images); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007817834,0.0003106658,0.000318959,0.000431079,0.00137907,0.0006423058,0.004526832,0.00007057831,0.186963],"category_scores_gemma":[0.0001653292,0.0003599844,0.00005966677,0.0006427236,0.0001413082,0.000660232,0.009586102,0.001151861,0.00328076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120563,"about_ca_system_score_gemma":0.00001246594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002191945,"about_ca_topic_score_gemma":0.000001180832,"domain_scores_codex":[0.9973503,0.0003655723,0.0004315616,0.0007834036,0.0005101953,0.000559017],"domain_scores_gemma":[0.997171,0.00003464833,0.0002090663,0.002278554,0.0001666683,0.0001400544],"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":[0.00002163259,0.0001583425,0.000004407941,0.00005628452,0.0000335317,0.00001541786,0.00008178497,0.00001852119,0.00001923576,0.0003116929,0.9759669,0.02331227],"study_design_scores_gemma":[0.0003529434,0.00008252703,0.00001301069,0.0000399171,0.0000224154,0.00001846927,0.0001904757,0.0001368406,0.00002018404,0.0007049444,0.9980654,0.0003529008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000397633,0.00006802273,0.001844524,0.0002147153,0.0001379365,0.0005870027,0.9854986,0.0005341435,0.01107528],"genre_scores_gemma":[0.0005818123,0.00009490405,0.0004618902,0.00009964213,0.0002333277,2.383413e-7,0.9969333,0.001285191,0.0003096768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1836822,"threshold_uncertainty_score":0.999921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04349713469303216,"score_gpt":0.293253147595704,"score_spread":0.2497560129026718,"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."}}