{"id":"W2618540871","doi":"10.1002/joc.5122","title":"Trend and periodicity of drought over Ethiopia","year":2017,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Dryness; Climatology; Precipitation; Trend analysis; Environmental science; Sea surface temperature; Geography; El Niño Southern Oscillation; Climate change; Wet season; Oceanography; Geology; Meteorology","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":[0.0003664046,0.0001149176,0.0001564301,0.001713449,0.0001744111,0.000537596,0.0001165658,0.0001062147,0.000778218],"category_scores_gemma":[0.000555088,0.00007107794,0.0001143511,0.00143546,0.0001052109,0.0002177083,0.0002134725,0.0001212331,0.0001249498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002527384,"about_ca_system_score_gemma":0.0001857089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003487393,"about_ca_topic_score_gemma":0.004435022,"domain_scores_codex":[0.9998872,0.00002127429,0.00001692381,0.00002853947,0.00002074433,0.00002531319],"domain_scores_gemma":[0.9995523,0.00008380388,0.0001922262,0.00002052489,0.0001060913,0.00004507599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006809992,0.00001782769,0.9910807,0.00002697747,0.00006640387,0.0000911781,0.0001820713,0.0006898314,0.001181625,0.0001228709,0.0003323523,0.006140091],"study_design_scores_gemma":[0.000001726486,0.00001684121,0.9984614,0.000008583939,0.00001026018,0.00005433128,0.0001775411,0.0005518367,0.0001417364,0.00003401349,0.0005391637,0.000002461278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980758,0.0001393079,0.0001331463,0.00001949271,0.000004572511,0.000002140136,0.001152006,0.000005147572,0.0004683933],"genre_scores_gemma":[0.9986705,0.0001123731,0.0001493647,0.000005806642,0.00001078969,0.000003556163,0.0009057585,0.000001638713,0.0001401877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003487393,"threshold_uncertainty_score":0.006934166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263245981515508,"score_gpt":0.3154616303919574,"score_spread":0.2928291705768024,"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."}}