{"id":"W2015643136","doi":"10.1007/s00477-007-0194-2","title":"Drought characterization: a probabilistic approach","year":2007,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":245,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Probabilistic logic; Probability density function; Interval (graph theory); Joint probability distribution; Precipitation; Mathematics; Statistics; Series (stratigraphy); Probability distribution; Computational intelligence; Climatology; Econometrics; Environmental science; Computer science; Meteorology; Geography; Geology; Artificial intelligence","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":[0.002938378,0.0008371729,0.001147757,0.003569886,0.0006969928,0.001621998,0.001734624,0.001098416,0.002648875],"category_scores_gemma":[0.01147416,0.0007554621,0.001605168,0.002265889,0.0008278207,0.003330375,0.001425294,0.000897029,0.0003704493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005902844,"about_ca_system_score_gemma":0.0007420255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001927245,"about_ca_topic_score_gemma":0.002077529,"domain_scores_codex":[0.9986211,0.0004386565,0.0001421941,0.0003126683,0.0003697818,0.0001157034],"domain_scores_gemma":[0.9945855,0.003468634,0.0007097464,0.00056115,0.0005522816,0.0001227765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001008641,0.0001000471,0.01174724,0.0001279834,0.0001792867,0.0001856778,0.0001254542,0.8174785,0.004410932,0.06778377,0.001428977,0.09633125],"study_design_scores_gemma":[0.000005179603,0.00002456309,0.001765982,0.000009841831,0.0000374571,0.0001304289,0.00002007142,0.9635505,0.0007137716,0.03294089,0.0007795991,0.00002158522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01353509,0.00009496663,0.9848748,0.0001060691,0.000007590178,0.00004347388,0.0002209725,0.0001801327,0.0009369652],"genre_scores_gemma":[0.7724976,0.0004326639,0.2232463,0.00008053183,0.0001469473,0.0002808016,0.001239995,0.00014248,0.001932629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003569886,"threshold_uncertainty_score":0.01553982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715356543102776,"score_gpt":0.3063217614230577,"score_spread":0.28916819599203,"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."}}