{"id":"W4379650406","doi":"10.1007/s00704-023-04495-0","title":"Analysis of historical drought conditions based on SPI and SPEI at various timescales in the South Saskatchewan River Watershed, Alberta, Canada","year":2023,"lang":"en","type":"article","venue":"Theoretical and Applied Climatology","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Lethbridge","funders":"Mitacs; Alberta Real Estate Foundation; University of Lethbridge","keywords":"Precipitation; Evapotranspiration; Watershed; Environmental science; Climatology; Agriculture; Trend analysis; Physical geography; Geography; Hydrology (agriculture); Geology; Ecology; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002408474,0.0001253188,0.0003747049,0.00008967086,0.0001312244,0.000004149745,0.0001337195,0.0001098077,0.001541757],"category_scores_gemma":[0.00001860941,0.00008218385,0.00005629012,0.0005715858,0.001305863,0.00001094868,0.00009967542,0.0001308677,0.00006077094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008647763,"about_ca_system_score_gemma":0.00001291364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04249649,"about_ca_topic_score_gemma":0.2970121,"domain_scores_codex":[0.9989128,0.0001242502,0.0002210324,0.0003055017,0.0001582523,0.0002782222],"domain_scores_gemma":[0.998985,0.0006900961,0.00004740707,0.0001990718,0.000002228536,0.00007618148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004718559,0.0002729397,0.7325842,0.00002556342,0.0003732576,0.0001456633,0.008450412,0.007384584,0.0005595208,0.2457643,0.00369225,0.0002754155],"study_design_scores_gemma":[0.00305517,0.0003558705,0.6616175,0.0000119135,0.004287051,0.00005030931,0.003216862,0.1983522,0.0008337062,0.1220963,0.00500835,0.001114821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845136,0.000004034388,0.00005279298,0.002891919,0.00001282666,0.0000799699,0.00001944798,0.00000876646,0.01241663],"genre_scores_gemma":[0.998675,0.000004004581,0.00003070175,0.0009882714,0.000004853183,0.00001632945,0.00006678048,0.000005027062,0.0002090635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2545156,"threshold_uncertainty_score":0.999371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004044035451530419,"score_gpt":0.1934756206000375,"score_spread":0.189431585148507,"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."}}