{"id":"W4393512151","doi":"10.5281/zenodo.7652765","title":"SuperDARN Grid data in netCDF format (1998-Mar)","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; Geology; Database; Meteorology; Geodesy; Geography; Operating system","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":[0.0008731247,0.001086077,0.0008781185,0.003148991,0.0007563781,0.002695123,0.002056903,0.001320142,0.2471589],"category_scores_gemma":[0.004421966,0.0006715273,0.0009008711,0.006019732,0.0002468417,0.002226198,0.00153549,0.001840769,0.2314125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319371,"about_ca_system_score_gemma":0.001691209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02660153,"about_ca_topic_score_gemma":0.02696895,"domain_scores_codex":[0.9992844,0.00006025504,0.00007767404,0.00014248,0.0003088236,0.0001264236],"domain_scores_gemma":[0.997901,0.0002402782,0.000168782,0.0005222357,0.00100657,0.0001611671],"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":[0.00005239485,0.00001168655,0.0004717529,0.0001079064,0.00000861398,0.00001945219,0.00001606191,0.0002674137,0.0001484337,0.0006433651,0.9946667,0.003586276],"study_design_scores_gemma":[0.00007800772,0.000005758435,0.002459852,0.00007211405,0.000006415592,0.00002692961,0.00005736563,0.0003174958,0.0004652052,0.001233073,0.9952604,0.00001731232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003240086,0.00003094397,0.0006449569,0.0001498351,0.000146064,0.00002807243,0.9887078,0.002400217,0.00756822],"genre_scores_gemma":[0.001133298,0.00004653085,0.0018105,0.00007477708,0.00002864876,0.00006895551,0.9908887,0.001392114,0.004556542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2471589,"threshold_uncertainty_score":0.8268288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06609597906565616,"score_gpt":0.2758753767911277,"score_spread":0.2097793977254716,"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."}}