{"id":"W4393551562","doi":"10.5281/zenodo.7823453","title":"SuperDARN Grid data in netCDF format (2020-Nov)","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; Database; Grid cell; Computer graphics (images); 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":[0.0008392156,0.001085126,0.0008553988,0.002541528,0.000744502,0.002610787,0.001877396,0.001424069,0.2357046],"category_scores_gemma":[0.003915649,0.0006638368,0.0009806018,0.004741618,0.0002782978,0.002412183,0.001769098,0.001729827,0.2456388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310723,"about_ca_system_score_gemma":0.001795324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02468356,"about_ca_topic_score_gemma":0.02976934,"domain_scores_codex":[0.9993072,0.00006154884,0.00007284195,0.0001439147,0.0002730498,0.0001415987],"domain_scores_gemma":[0.998109,0.0002081585,0.0001399378,0.0004860841,0.0008856549,0.0001712404],"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":[0.00004269506,0.00001055219,0.0004803022,0.0001169958,0.000008166184,0.00001517195,0.00001398935,0.0002443931,0.0001403383,0.000554484,0.9955636,0.002809255],"study_design_scores_gemma":[0.00007576359,0.000006075742,0.002470936,0.00007864309,0.000006191311,0.0000254892,0.00006499019,0.0003206498,0.0004739647,0.001286,0.9951722,0.00001916638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002330898,0.00002432815,0.0003868611,0.0001266646,0.0001315825,0.00002145053,0.9916044,0.001886421,0.005585237],"genre_scores_gemma":[0.0008955409,0.00003675179,0.001249108,0.00008797514,0.00002257851,0.0000546716,0.9932433,0.00106137,0.003348622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2357046,"threshold_uncertainty_score":0.7885104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05694485705337856,"score_gpt":0.2739614755305688,"score_spread":0.2170166184771902,"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."}}