{"id":"W4393424972","doi":"10.5281/zenodo.6787707","title":"SuperDARN data in netCDF format (2002-Jul)","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Computer science; Computer graphics (images); Database; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009915262,0.001356168,0.001009927,0.00372197,0.0008659533,0.003221821,0.002126952,0.001619598,0.289211],"category_scores_gemma":[0.005202999,0.0007809068,0.001064427,0.006266332,0.000280836,0.002486971,0.001723062,0.001969087,0.3167185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696171,"about_ca_system_score_gemma":0.002052434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02759461,"about_ca_topic_score_gemma":0.02678408,"domain_scores_codex":[0.9991294,0.00007568843,0.0001033489,0.000170747,0.0003554437,0.0001653846],"domain_scores_gemma":[0.9975072,0.0003177771,0.0001961532,0.0005938483,0.001202072,0.000182906],"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":[0.00004116131,0.00001109316,0.0003479873,0.0001156154,0.000007649433,0.00001731303,0.0000145114,0.0001683653,0.0001286081,0.0004579004,0.9959752,0.002714708],"study_design_scores_gemma":[0.00007577051,0.000006139943,0.002380765,0.00009162,0.000007265402,0.00002987147,0.00006083769,0.0002334241,0.0004440388,0.001173075,0.9954757,0.00002138726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001665614,0.00002223227,0.0003477308,0.0001065175,0.0000906873,0.0000200015,0.9931864,0.001707311,0.004352523],"genre_scores_gemma":[0.0005366416,0.00003569212,0.0008546011,0.00006257301,0.00002178935,0.00005378115,0.9940401,0.001011713,0.003383096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.289211,"threshold_uncertainty_score":0.9675073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03907180305415642,"score_gpt":0.240529826439479,"score_spread":0.2014580233853226,"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."}}