{"id":"W4393437823","doi":"10.5281/zenodo.6808416","title":"SuperDARN data in netCDF format (1998-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; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009908647,0.001371949,0.00105206,0.003985893,0.000933155,0.003098579,0.002237299,0.001555172,0.3082452],"category_scores_gemma":[0.004675605,0.0008024245,0.001058181,0.006642399,0.00028833,0.002581943,0.001798147,0.002079935,0.323168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621231,"about_ca_system_score_gemma":0.001973189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02538967,"about_ca_topic_score_gemma":0.02480125,"domain_scores_codex":[0.9991552,0.00006430366,0.00009079139,0.0001642312,0.0003588106,0.0001667492],"domain_scores_gemma":[0.9976737,0.0002864106,0.0001940957,0.0005584224,0.001102895,0.0001845617],"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":[0.00004576333,0.00001173336,0.0003434195,0.0001096451,0.000007653781,0.00001791935,0.00001437469,0.0001374779,0.0001489626,0.0004567549,0.9959093,0.00279688],"study_design_scores_gemma":[0.00008191636,0.000006410668,0.002435578,0.00008398148,0.000007001778,0.00003098287,0.00005616322,0.0001756456,0.000440957,0.0010882,0.9955736,0.00001953836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001939219,0.00002463999,0.0003461277,0.0001082997,0.0001043918,0.00002254281,0.9923464,0.001679997,0.005173621],"genre_scores_gemma":[0.0005711762,0.00003921193,0.0009379952,0.00006210709,0.0000261711,0.00005769043,0.9937225,0.001097734,0.003485372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3082452,"threshold_uncertainty_score":0.9867043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04269619412787273,"score_gpt":0.2918717266523546,"score_spread":0.2491755325244819,"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."}}