{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009826396,0.002890069,0.001502778,0.002811217,0.0008962551,0.001900228,0.003513062,0.002601876,0.03680714],"category_scores_gemma":[0.002753421,0.0008067118,0.001279407,0.005637376,0.0006475507,0.001636096,0.002074896,0.00192123,0.06668343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527919,"about_ca_system_score_gemma":0.002068428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06071166,"about_ca_topic_score_gemma":0.0858813,"domain_scores_codex":[0.9991463,0.0001048806,0.00009291038,0.0002464957,0.0002444245,0.000164979],"domain_scores_gemma":[0.998583,0.0002574041,0.0001307348,0.0003665589,0.0004752383,0.0001871793],"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":[0.0000476039,0.00002779188,0.0005096427,0.0004917262,0.00002957434,0.00002834605,0.00001929522,0.000487735,0.0002075142,0.0002403704,0.9960034,0.001906861],"study_design_scores_gemma":[0.0002828851,0.00003711586,0.006769555,0.0003278721,0.00004162353,0.00009401331,0.0001264354,0.001296682,0.000720602,0.001212497,0.9890243,0.00006643833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001181449,0.00003318735,0.00004607832,0.00003528122,0.00002209393,0.000008940736,0.999195,0.0002252195,0.0003159696],"genre_scores_gemma":[0.0002279413,0.0000217229,0.0001465111,0.00002032181,0.000003846766,0.00002478121,0.999285,0.00003418121,0.0002356808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06071166,"threshold_uncertainty_score":0.1231322,"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."}}