{"id":"W4393432316","doi":"10.5281/zenodo.6833116","title":"SuperDARN data in netCDF format (1994-Jul)","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":[0.0007779797,0.0003090286,0.0003160458,0.0004254839,0.001403585,0.0006491258,0.004561766,0.00007057201,0.1796695],"category_scores_gemma":[0.00014124,0.0003586134,0.0000595828,0.0006210005,0.0001398455,0.0006348696,0.009945711,0.001149349,0.002613735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002093651,"about_ca_system_score_gemma":0.00001226618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003160325,"about_ca_topic_score_gemma":0.000001383592,"domain_scores_codex":[0.9973624,0.0003574237,0.0004302216,0.0007796801,0.0005141307,0.0005561197],"domain_scores_gemma":[0.9972287,0.00003411542,0.000208011,0.002262682,0.0001271265,0.0001393196],"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":[0.00002112403,0.0001578825,0.000004226299,0.00005415497,0.00003372827,0.00001535837,0.00008614645,0.00001968756,0.00001998749,0.000331405,0.9769298,0.02232652],"study_design_scores_gemma":[0.0003554539,0.00008124767,0.00001306961,0.00003811782,0.00002262194,0.00001803742,0.0001945421,0.0001282576,0.00001787846,0.0005766911,0.9982027,0.0003513636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003643669,0.00006679833,0.002244873,0.0001782824,0.000133163,0.0005928965,0.986137,0.0005322805,0.01007825],"genre_scores_gemma":[0.0007825138,0.00008664708,0.0004589156,0.0000997251,0.0002278819,2.369999e-7,0.9968348,0.001258516,0.0002507657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1770558,"threshold_uncertainty_score":0.9998965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04386378537085152,"score_gpt":0.2933897923613042,"score_spread":0.2495260069904527,"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."}}