{"id":"W6930201473","doi":"10.5281/zenodo.12997747","title":"Wallops SuperDARN data in netCDF format (2023-Sep)","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Thermal and Kinetic Analysis","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Acknowledgement; Recalescence; Work (physics); Radar; Process (computing); Data collection","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001357848,0.0002948398,0.0003681521,0.0004656686,0.0007758772,0.001585816,0.0044215,0.0001817282,0.1060832],"category_scores_gemma":[0.0004957517,0.0002716334,0.00007062587,0.0008397772,0.0001919532,0.0004226525,0.007244656,0.0005938195,0.2319171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618745,"about_ca_system_score_gemma":0.00001187922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003489851,"about_ca_topic_score_gemma":0.00002284,"domain_scores_codex":[0.9969553,0.000388558,0.0005172016,0.000913584,0.0006455473,0.0005797766],"domain_scores_gemma":[0.9975932,0.00003112337,0.0001295821,0.001853916,0.0002015108,0.000190636],"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":[0.00003342792,0.00008873856,1.379141e-7,0.0002338316,0.00003101198,0.00008129498,0.0001108485,0.00001677012,0.001319913,0.000046585,0.9937851,0.004252279],"study_design_scores_gemma":[0.0002131767,0.00009060129,0.0000200724,0.0001120423,0.00007975419,0.0000817905,0.0001181196,0.0002912126,0.00006395911,0.00007693854,0.9985482,0.0003041821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005772793,0.0004976856,0.00005865264,0.0004369835,0.0003272603,0.0003060688,0.9909197,0.0003722193,0.006504132],"genre_scores_gemma":[0.001153797,0.0006536659,0.00007039596,0.0001534557,0.0003068205,6.039969e-8,0.9956794,0.0008446,0.001137759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.125834,"threshold_uncertainty_score":0.9999736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007008768175173,"score_gpt":0.2649842091974317,"score_spread":0.2249141215156799,"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."}}