{"id":"W4393889722","doi":"10.5281/zenodo.7822876","title":"SuperDARN Grid data in netCDF format (2021-May)","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Grid; Computer science; Database; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009772643,0.001199634,0.0009621378,0.00281858,0.000818949,0.002996746,0.002111658,0.001663935,0.3129705],"category_scores_gemma":[0.005200433,0.0007251626,0.001112003,0.005017742,0.0003026786,0.002699923,0.00216044,0.001848553,0.3129337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411692,"about_ca_system_score_gemma":0.001842063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02247905,"about_ca_topic_score_gemma":0.02722948,"domain_scores_codex":[0.9992256,0.00007630548,0.00008571626,0.0001645455,0.000290354,0.0001573445],"domain_scores_gemma":[0.9976975,0.0003157603,0.000158767,0.0005825139,0.001048998,0.0001963684],"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":[0.0000385019,0.000009598323,0.0003737069,0.0001327894,0.000007573843,0.00001445357,0.00001598541,0.0002122172,0.0001138163,0.0005415262,0.9956803,0.002859451],"study_design_scores_gemma":[0.00007249507,0.000006025579,0.001930982,0.00009510577,0.000006009316,0.00002464825,0.0000734091,0.0003050826,0.0004109268,0.00155477,0.9955012,0.00001939244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001930254,0.0000281327,0.0005043324,0.0001467176,0.0001310854,0.00002691375,0.9907728,0.002538207,0.005658747],"genre_scores_gemma":[0.0009144027,0.0000458024,0.001555805,0.0001124069,0.00002782619,0.00008201106,0.9918468,0.001544299,0.003870619],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3129705,"threshold_uncertainty_score":0.9799642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08384784150553373,"score_gpt":0.3367333842058861,"score_spread":0.2528855427003524,"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."}}