{"id":"W3003211436","doi":"10.1016/j.dib.2020.105215","title":"Dataset on raindrop size distribution, raindrop fall velocity and precipitation data measured by disdrometers and rain gauges over Peruvian central Andes (12.0°S)","year":2020,"lang":"en","type":"article","venue":"Data in Brief","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica; International Development Research Centre","keywords":"NetCDF; Precipitation; Orographic lift; Meteorology; Environmental science; Observatory; Data set; Rain gauge; Shuttle Radar Topography Mission; Climatology; Atmospheric sciences; Remote sensing; Computer science; Geology; Geography; Digital elevation model","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004156314,0.000889162,0.0008267932,0.002720137,0.0004274674,0.000736651,0.001241763,0.0007763992,0.01823562],"category_scores_gemma":[0.001945458,0.0003669897,0.0005895487,0.005192719,0.0001991144,0.000654852,0.00122004,0.0007740879,0.01352827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004912965,"about_ca_system_score_gemma":0.0008433239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02040217,"about_ca_topic_score_gemma":0.0231635,"domain_scores_codex":[0.9996666,0.00004471727,0.00004063257,0.00009363747,0.00009245041,0.00006199403],"domain_scores_gemma":[0.9985536,0.0002595879,0.0002032223,0.0002606116,0.0005811413,0.0001418635],"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":[0.0002272436,0.0002275906,0.03945336,0.002078339,0.0001813818,0.000287704,0.0004973165,0.002225588,0.002927895,0.001142705,0.9270338,0.02371712],"study_design_scores_gemma":[0.0002295227,0.00009119132,0.2333022,0.0004337147,0.0000725211,0.0002694691,0.0009144405,0.00330938,0.002211003,0.001234312,0.7578464,0.00008590168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004672265,0.0000692855,0.0002105894,0.00005788209,0.0000160901,0.00002207173,0.9939639,0.000367811,0.0006201302],"genre_scores_gemma":[0.004957265,0.00005786139,0.0004882192,0.00001685954,0.00001139322,0.00008962952,0.9939628,0.0000387163,0.0003772419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02040217,"threshold_uncertainty_score":0.06100422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05593006512716463,"score_gpt":0.2561967424952405,"score_spread":0.2002666773680759,"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."}}