{"id":"W4393556539","doi":"10.5281/zenodo.7652375","title":"SuperDARN Grid data in netCDF format (2001-Dec)","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Grid; Computer science; Computer graphics (images); Geology; Programming language; Geodesy","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":[0.0008705603,0.001092877,0.0008586186,0.003187693,0.0007929312,0.002747128,0.001948067,0.001410571,0.2585],"category_scores_gemma":[0.004456515,0.0007033746,0.0008753839,0.006367177,0.0002407395,0.0022453,0.001498868,0.00186226,0.2445005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511823,"about_ca_system_score_gemma":0.001856232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0280128,"about_ca_topic_score_gemma":0.0283038,"domain_scores_codex":[0.9992694,0.00006445593,0.00008356743,0.0001432064,0.0003066463,0.0001326541],"domain_scores_gemma":[0.9977029,0.0002621697,0.0001752202,0.0005575458,0.001129151,0.0001730047],"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":[0.00004696334,0.00001162958,0.0004692502,0.0001067283,0.000008057822,0.00001797576,0.00001528364,0.0002684047,0.0001352336,0.0006468687,0.9950033,0.003270285],"study_design_scores_gemma":[0.00006981533,0.000005593507,0.002699952,0.00007599161,0.00000654208,0.00002716654,0.00006263108,0.0003288118,0.0004914692,0.001315109,0.994898,0.00001885065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002743341,0.00002531837,0.0005380919,0.0001338643,0.0001253772,0.00002448849,0.9900595,0.001873357,0.006945599],"genre_scores_gemma":[0.0009374459,0.00003865657,0.001350055,0.00007161342,0.00002169118,0.00005647939,0.9920019,0.001063806,0.0044584],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2585,"threshold_uncertainty_score":0.8647687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07938557056377377,"score_gpt":0.2830772207197885,"score_spread":0.2036916501560147,"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."}}