{"id":"W4393660689","doi":"10.5281/zenodo.8271090","title":"SuperDARN Grid data in netCDF format (2017-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); 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":[],"consensus_categories":[],"category_scores_codex":[0.000846104,0.001142792,0.0009043136,0.002638195,0.0008471677,0.002837384,0.001986337,0.001438224,0.2800945],"category_scores_gemma":[0.004482751,0.0006890437,0.001039848,0.004635785,0.0003057451,0.002636837,0.001965584,0.001908876,0.2807242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331381,"about_ca_system_score_gemma":0.001854855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02566385,"about_ca_topic_score_gemma":0.03114852,"domain_scores_codex":[0.9993037,0.00006135617,0.00007573875,0.0001400315,0.0002790444,0.0001401823],"domain_scores_gemma":[0.9979887,0.0002333468,0.0001302146,0.0004840698,0.0009978901,0.0001657015],"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":[0.00004043057,0.0000100813,0.0004204151,0.0001165095,0.00000834153,0.00001684182,0.00001601524,0.0002312609,0.0001244879,0.0005396537,0.9957381,0.002737755],"study_design_scores_gemma":[0.00008132371,0.000006064096,0.002182537,0.00009597869,0.000006952507,0.00002592536,0.00008104963,0.0003284718,0.0005059292,0.0015935,0.9950716,0.00002076532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002419362,0.00002959294,0.0005406562,0.0001521306,0.0001625181,0.00002804961,0.9900053,0.002693738,0.006146182],"genre_scores_gemma":[0.0009712258,0.00004645133,0.001383769,0.00009144415,0.00002805666,0.00006632464,0.9918761,0.001482229,0.004054371],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2800945,"threshold_uncertainty_score":0.9370095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08224449080438749,"score_gpt":0.2847508204662771,"score_spread":0.2025063296618896,"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."}}