{"id":"W4313361230","doi":"10.3390/w15010092","title":"Evaluation of CMORPH, PERSIANN-CDR, CHIRPS V2.0, TMPA 3B42 V7, and GPM IMERG V6 Satellite Precipitation Datasets in Arabian Arid Regions","year":2022,"lang":"en","type":"article","venue":"Water","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Environmental science; Arid; Precipitation; Global Precipitation Measurement; Rain gauge; Satellite; Climatology; Meteorology; Geography; Geology","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":[0.004078344,0.0007872776,0.0005426715,0.002292042,0.0002493763,0.00111954,0.0007160908,0.000528664,0.0002817546],"category_scores_gemma":[0.007036267,0.0001265581,0.0004041255,0.001548533,0.0002064302,0.0006676548,0.0006767861,0.0002749415,0.0001488924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005867436,"about_ca_system_score_gemma":0.0005466192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01764995,"about_ca_topic_score_gemma":0.01282244,"domain_scores_codex":[0.9981822,0.0005898763,0.0001973705,0.0003562255,0.0005284927,0.0001458469],"domain_scores_gemma":[0.9969248,0.001110135,0.0005393247,0.0003094046,0.0008936524,0.0002226561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001796544,0.0006389242,0.687175,0.0005724143,0.001181538,0.0006946262,0.0005052923,0.1198787,0.01291258,0.001165237,0.009382281,0.1640968],"study_design_scores_gemma":[0.0001402021,0.0004959314,0.5156667,0.00009775298,0.0002179315,0.0002867012,0.000956604,0.4678856,0.00979638,0.0003110298,0.004085293,0.00005981159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934035,0.0003325789,0.001990076,0.00009311935,0.00003451961,0.00005259387,0.002932353,0.0002849675,0.0008763711],"genre_scores_gemma":[0.9829858,0.0001438834,0.006733115,0.00003744267,0.00002438831,0.00004118073,0.00969949,0.00002197718,0.0003128018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01764995,"threshold_uncertainty_score":0.03509444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0471288171679769,"score_gpt":0.2508374322176416,"score_spread":0.2037086150496647,"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."}}