{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008592292,0.002473355,0.00133699,0.002675144,0.0008367231,0.001680028,0.003379142,0.002358079,0.03584815],"category_scores_gemma":[0.002588178,0.0006967922,0.001166132,0.005299861,0.0005743147,0.001486042,0.001999208,0.001787814,0.06171725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394406,"about_ca_system_score_gemma":0.001856459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05388847,"about_ca_topic_score_gemma":0.08122963,"domain_scores_codex":[0.9991884,0.000100071,0.00009548951,0.0002288059,0.0002323031,0.0001549673],"domain_scores_gemma":[0.9986528,0.0002378048,0.000129093,0.0003597291,0.000456838,0.0001637846],"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":[0.00004582574,0.00002405792,0.0005174542,0.0004302394,0.00002756543,0.00002617123,0.00002161554,0.0004151607,0.0002371422,0.0002486996,0.9961527,0.001853417],"study_design_scores_gemma":[0.000251831,0.00003154766,0.006462035,0.0002892289,0.00003864415,0.00008493371,0.0001355315,0.001160864,0.0007900149,0.001173281,0.9895235,0.00005863928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001334362,0.00003120048,0.00005242967,0.00003971134,0.00002415447,0.000008926225,0.9991033,0.0002547905,0.0003520613],"genre_scores_gemma":[0.0002754676,0.00002185404,0.0001657697,0.00001917498,0.000003919103,0.0000244501,0.999185,0.00003650395,0.0002677964],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05388847,"threshold_uncertainty_score":0.1199239,"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."}}