{"id":"W4393706249","doi":"10.5281/zenodo.6803219","title":"SuperDARN data in netCDF format (2000-Jan)","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Computer graphics (images); Computer science; Geology; Database; 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":[0.001132399,0.001429361,0.001113408,0.004105874,0.001010543,0.003365086,0.002411537,0.001789542,0.3377471],"category_scores_gemma":[0.005414657,0.0009055872,0.001136203,0.006473321,0.0003236839,0.002952394,0.002159314,0.002274807,0.3533772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679434,"about_ca_system_score_gemma":0.002105161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02220431,"about_ca_topic_score_gemma":0.02300093,"domain_scores_codex":[0.9990754,0.0000801259,0.000101,0.0001876823,0.0003654106,0.000190369],"domain_scores_gemma":[0.9974201,0.0003368762,0.0002059228,0.0006414051,0.001181676,0.000214084],"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":[0.00004417942,0.00001146978,0.0003176341,0.0001214862,0.000007563659,0.00001686016,0.00001531497,0.0001314337,0.0001496513,0.0005046281,0.9960432,0.002636659],"study_design_scores_gemma":[0.00008318874,0.000006365398,0.002081564,0.00009537955,0.000007275908,0.00002925579,0.00005729492,0.0001847781,0.000472141,0.001323291,0.9956382,0.00002132224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001775329,0.0000246166,0.0003975016,0.0001178065,0.0001059866,0.00002501533,0.9917685,0.002119304,0.005263777],"genre_scores_gemma":[0.0005954938,0.00004058897,0.001096908,0.00008237806,0.00002811559,0.00006827519,0.992849,0.001463564,0.003775599],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3377471,"threshold_uncertainty_score":0.9446234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03830434413026894,"score_gpt":0.2750701847155237,"score_spread":0.2367658405852547,"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."}}