{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009488088,0.0002090728,0.000269029,0.00003925367,0.000180094,0.0002657946,0.0007065027,0.00007240807,0.0004239049],"category_scores_gemma":[0.001655431,0.0001905954,0.00001613496,0.00028316,0.0001609475,0.001277834,0.0001550876,0.0001787242,0.00001369326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001040319,"about_ca_system_score_gemma":0.00004016653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001776689,"about_ca_topic_score_gemma":0.004440603,"domain_scores_codex":[0.9977047,0.0002862203,0.0003268274,0.0008434123,0.0005035469,0.0003352256],"domain_scores_gemma":[0.9985347,0.0003605742,0.000118858,0.0006856731,0.00002262709,0.0002775286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002546896,0.00006179088,0.7397558,0.00007265797,0.0001191875,0.0000146744,0.0007865919,0.00005853683,0.0002124639,0.00001087926,0.2231374,0.03551532],"study_design_scores_gemma":[0.001078413,0.0001001945,0.9221577,0.00003126028,0.00007012788,0.000002319413,0.0002135285,0.02989189,0.00002237561,0.00005310084,0.04608129,0.0002978174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6679937,0.0006749141,0.0007653179,0.003772393,0.00009978291,0.0003821298,0.3261803,0.00003607187,0.00009538414],"genre_scores_gemma":[0.7050738,0.0002033716,0.0002915743,0.0006576179,0.00005016806,0.000001008604,0.2937092,0.000004036462,0.000009131082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1824019,"threshold_uncertainty_score":0.7772257,"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."}}