{"id":"W4393677129","doi":"10.5281/zenodo.6654686","title":"SuperDARN data in netCDF format (2019-Mar)","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Geology; Computer graphics (images); Computer science; 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":[0.00102658,0.00143969,0.001012395,0.003017195,0.0007971867,0.003270666,0.002181388,0.001823384,0.3713754],"category_scores_gemma":[0.005286143,0.0007050248,0.001127957,0.004528423,0.0003264784,0.003053086,0.00228785,0.0019453,0.3836736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369018,"about_ca_system_score_gemma":0.001712182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01810313,"about_ca_topic_score_gemma":0.02252183,"domain_scores_codex":[0.9991974,0.00007605088,0.00009556554,0.0001689602,0.0002978481,0.0001641617],"domain_scores_gemma":[0.9977129,0.0003273396,0.0001714429,0.0005352498,0.001078401,0.0001747675],"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":[0.00004166619,0.00000963703,0.0003185706,0.0001531121,0.000007651523,0.00001671559,0.00001370413,0.0001823763,0.0001293257,0.0004418169,0.9955446,0.003141018],"study_design_scores_gemma":[0.00007075236,0.000006751775,0.001622847,0.0001144656,0.000006469686,0.00003047897,0.00005933593,0.0002517145,0.0004377415,0.001476881,0.9959005,0.00002204255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001705262,0.00003295632,0.0005284059,0.000150091,0.00014042,0.00002624852,0.9912543,0.002736495,0.004960576],"genre_scores_gemma":[0.0007660216,0.00005394075,0.001478841,0.0001176508,0.00003476736,0.00007800711,0.9912391,0.001677066,0.004554512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3713754,"threshold_uncertainty_score":0.8966566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06425417241114832,"score_gpt":0.3194129670780317,"score_spread":0.2551587946668833,"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."}}