{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"201ba1da66b6","filters":{"venue":"Open Journal of Atmospheric and Climate Change"}},"results":[{"id":"W2067724710","doi":"10.15764/acc.2014.01001","title":"Predicting Drought Durations and Magnitudes at Weekly Time Scale: Constant Flow as a Truncation Level","year":2014,"lang":"en","type":"article","venue":"Open Journal of Atmospheric and Climate Change","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Mathematics; Statistics; Truncation (statistics); Standard deviation; Markov chain; Series (stratigraphy); Flow (mathematics); Constant (computer programming); Geometry; Computer science","authors":[{"name":"T.C. Sharma","is_ca":true},{"name":"U.S. Panu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0197058935299565,"gpt":0.2456978131525527,"spread":0.2259919196225962,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009522203,0.0002402703,0.0002771126,0.0004893013,0.0001197646,0.0003023496,0.0002284289,0.0002227797,0.0003746166],"category_scores_gemma":[0.002296829,0.000151643,0.0003281666,0.0004273698,0.0001682312,0.000488006,0.0002479935,0.0004868983,0.0001029815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002804264,"about_ca_system_score_gemma":0.0004827572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005825964,"about_ca_topic_score_gemma":0.007019917,"domain_scores_codex":[0.9998759,0.00003953957,0.00000814656,0.00003874095,0.00002182354,0.00001585832],"domain_scores_gemma":[0.9991738,0.0004168811,0.0001856104,0.00008148612,0.00008996864,0.00005233286],"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":[0.0001501801,0.00007701317,0.07865484,0.00002568777,0.00004675893,0.00005328897,0.0001111392,0.8463867,0.006087585,0.003412428,0.0003922474,0.06460213],"study_design_scores_gemma":[0.000005674369,0.00003979768,0.01977384,0.000004424845,0.000006310524,0.00001345303,0.00001587311,0.9770778,0.001234476,0.001636644,0.0001813572,0.00001039058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6846374,0.00003964713,0.3136038,0.00005111213,0.00001187198,0.00003954637,0.0004351817,0.0004087698,0.0007727674],"genre_scores_gemma":[0.9699426,0.00003199174,0.02923771,0.000006698994,0.000006733242,0.0000246674,0.0004918693,0.00001427838,0.0002435335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005825964,"threshold_uncertainty_score":0.0115841,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}