{"id":"W4386917903","doi":"10.3390/su151814028","title":"Evaluation of Geospatial Interpolation Techniques for Enhancing Spatiotemporal Rainfall Distribution and Filling Data Gaps in Asir Region, Saudi Arabia","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Al-Imam Muhammad Ibn Saud Islamic University","keywords":"Kriging; Variogram; Rain gauge; Geospatial analysis; Interpolation (computer graphics); Multivariate interpolation; Geostatistics; Environmental science; Precipitation; Remote sensing; Spatial analysis; Spatial variability; Meteorology; Geography; Statistics; Computer science; Mathematics","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":[0.00192715,0.0004455752,0.0002023367,0.001329207,0.0002638962,0.0007406866,0.000474087,0.0002514453,0.0004366868],"category_scores_gemma":[0.004115165,0.0001222373,0.0004158645,0.001370649,0.0001506668,0.000489347,0.0004714114,0.0002414912,0.00008406591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006936382,"about_ca_system_score_gemma":0.001075627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03158776,"about_ca_topic_score_gemma":0.02919093,"domain_scores_codex":[0.9994504,0.0002557531,0.00004307384,0.00005457057,0.0001447918,0.00005140408],"domain_scores_gemma":[0.9984567,0.0006224528,0.0002167022,0.0001078805,0.0005401075,0.0000560117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001180914,0.0005422208,0.1450798,0.0008784652,0.000282097,0.0003540819,0.001344903,0.3660899,0.01432444,0.005106429,0.001670746,0.4631459],"study_design_scores_gemma":[0.00005476732,0.0004409994,0.07873073,0.00009259088,0.0001258176,0.0001147524,0.001741232,0.9006369,0.01417935,0.0007240826,0.003119017,0.00003990449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586952,0.0005179929,0.0374972,0.0001313832,0.00002147318,0.0001000918,0.0004759825,0.0001902532,0.002370408],"genre_scores_gemma":[0.9477972,0.0003996374,0.05107212,0.00001244476,0.000004623819,0.00004328452,0.0003736507,0.00001457475,0.0002825129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03158776,"threshold_uncertainty_score":0.0628078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05508561046512647,"score_gpt":0.3161302402601224,"score_spread":0.2610446297949959,"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."}}