{"id":"W6908570359","doi":"10.26023/pbvg-0s4x-3d05","title":"NRC Convair 580 Airborne W-Band (NAW) Radar Data and Imagery. Version 1.0","year":2019,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"NetCDF; Radar; Reflectivity; Doppler radar; Radar tracker; Doppler effect","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002406877,0.0007988493,0.001169796,0.0002892787,0.0002469067,0.001099999,0.005840338,0.0005965986,0.02489768],"category_scores_gemma":[0.0005184712,0.0007722086,0.00006795904,0.0003270939,0.0003935906,0.001597862,0.007146867,0.0008733759,0.1734019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002434624,"about_ca_system_score_gemma":0.0009190031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001027405,"about_ca_topic_score_gemma":0.0006786521,"domain_scores_codex":[0.9950557,0.0002896454,0.0006191917,0.002239893,0.001103401,0.0006921492],"domain_scores_gemma":[0.9923215,0.0002869063,0.0006680108,0.006179029,0.0002030196,0.0003415212],"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":[0.0004451179,0.0001480116,0.0000150766,0.0001010386,0.0001906,0.000241439,0.00002679566,4.221865e-7,0.0005083032,8.564075e-8,0.9940256,0.004297542],"study_design_scores_gemma":[0.002866765,0.0001394233,0.00009219108,0.0003891596,0.0005919239,0.00008788642,0.0000954716,0.00002553557,0.0006899607,0.000002761849,0.9940561,0.0009628161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001006417,0.0008442763,0.000001037667,0.0001155129,0.000689032,0.001825192,0.9921756,0.000004978215,0.003337948],"genre_scores_gemma":[0.00005350702,0.0003294111,0.001175335,0.0000896741,0.0002515705,0.00001087337,0.9940151,0.0001580139,0.003916501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1485042,"threshold_uncertainty_score":0.9999369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06353539610486696,"score_gpt":0.3379405612441004,"score_spread":0.2744051651392335,"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."}}