{"id":"W4393687358","doi":"10.5281/zenodo.6809158","title":"SuperDARN data in netCDF format (1997-Apr)","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); Geology; 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":[0.0007866323,0.0003093032,0.0003168132,0.0004011774,0.001380211,0.0006415457,0.004511728,0.00007000911,0.1597771],"category_scores_gemma":[0.0001687611,0.0003582676,0.00005884963,0.0006256847,0.0001390026,0.0006435899,0.009612684,0.001149394,0.003025026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002060412,"about_ca_system_score_gemma":0.00001268679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002168826,"about_ca_topic_score_gemma":9.755256e-7,"domain_scores_codex":[0.9973644,0.0003663535,0.0004304812,0.0007811089,0.0005030422,0.0005546018],"domain_scores_gemma":[0.9971887,0.00003440719,0.0002090903,0.002261568,0.0001650932,0.0001411597],"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":[0.00002109712,0.0001584913,0.000003307072,0.00005561643,0.00003321076,0.00001557199,0.00008443306,0.00001627263,0.0000221693,0.0003346948,0.978816,0.02043914],"study_design_scores_gemma":[0.000342557,0.00008411829,0.00001207325,0.00003846754,0.00002258406,0.00001825905,0.000193073,0.0001118074,0.00002250742,0.0005735238,0.9982296,0.0003514288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004060807,0.00006286425,0.00194356,0.0002203481,0.0001324426,0.0005672315,0.9883798,0.0005222238,0.008130896],"genre_scores_gemma":[0.0006302479,0.00008317106,0.0004578527,0.0001002232,0.0002338281,2.400129e-7,0.996947,0.001264095,0.0002833799],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1567521,"threshold_uncertainty_score":0.9999198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04357723035996571,"score_gpt":0.2929793346656542,"score_spread":0.2494021043056885,"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."}}