{"id":"W6889739797","doi":"10.26023/kaga-jh3j-0y06","title":"NRC Convair 580 Airborne X-Band Radar Data and Imagery. Version 1.0","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":2,"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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001392083,0.0006859655,0.001009312,0.0001849135,0.0002614876,0.001067182,0.005133573,0.0004190449,0.01533616],"category_scores_gemma":[0.0007481961,0.0006833543,0.00005698337,0.0003992816,0.0003752686,0.001206589,0.006538372,0.0008520702,0.1449572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001723733,"about_ca_system_score_gemma":0.0007913224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007479271,"about_ca_topic_score_gemma":0.0006014914,"domain_scores_codex":[0.9956386,0.000261161,0.0005548415,0.002057972,0.0009606391,0.0005267928],"domain_scores_gemma":[0.9950421,0.0002018372,0.0005161116,0.003637943,0.0001384717,0.0004634662],"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":[0.0004397278,0.0001001364,0.000004653977,0.00008194057,0.0001771938,0.0006565598,0.00003801323,1.331481e-7,0.0005507628,8.288644e-8,0.9926142,0.005336564],"study_design_scores_gemma":[0.00216813,0.0001273621,0.00004250936,0.0002434843,0.0005860681,0.00006643958,0.0001014214,0.0000224636,0.0008279068,0.000003263476,0.9950188,0.0007921093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001826767,0.0004881418,0.00000113584,0.0003518128,0.0003496152,0.001248618,0.9954335,0.000006799489,0.001937685],"genre_scores_gemma":[0.00003341645,0.0002912664,0.00167584,0.0001737776,0.0003162558,0.00001069862,0.9966807,0.0001320169,0.000686078],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.129621,"threshold_uncertainty_score":0.9999698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0618519942684886,"score_gpt":0.3273869186405951,"score_spread":0.2655349243721065,"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."}}