{"id":"W4393661459","doi":"10.5281/zenodo.7651394","title":"SuperDARN Grid data in netCDF format (2008-Oct)","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); Grid cell; Database; Geology; Operating system; 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":[0.0008032324,0.001060767,0.0008721348,0.0026952,0.0007927034,0.00262182,0.001919881,0.001380137,0.2599975],"category_scores_gemma":[0.004065589,0.0006840716,0.0009498354,0.00482675,0.0002639158,0.002378615,0.001689287,0.001792648,0.2531648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356921,"about_ca_system_score_gemma":0.001771272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02617131,"about_ca_topic_score_gemma":0.03006682,"domain_scores_codex":[0.9993299,0.00005715821,0.00007050662,0.0001361258,0.0002783148,0.00012797],"domain_scores_gemma":[0.9980501,0.0002139466,0.0001330961,0.0004891347,0.0009646283,0.0001490299],"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":[0.00004015227,0.000009911171,0.0004133444,0.00009646747,0.000007351126,0.00001573506,0.00001433516,0.0002273569,0.0001259486,0.0005298334,0.9955456,0.002973781],"study_design_scores_gemma":[0.00007482278,0.000005819942,0.00250212,0.00007822934,0.000006488858,0.00002664735,0.00006378113,0.0003511127,0.0005038961,0.001382473,0.994985,0.00001959673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002925762,0.00002800989,0.000625591,0.0001524114,0.0001444159,0.00002832474,0.988776,0.002733731,0.007219142],"genre_scores_gemma":[0.001032547,0.00004155709,0.001617352,0.00008736152,0.00002534079,0.00006574154,0.9910874,0.001388818,0.004653912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2599975,"threshold_uncertainty_score":0.8697783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06447021421754251,"score_gpt":0.2751215975662346,"score_spread":0.2106513833486921,"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."}}