{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"aaafe4d21f40","filters":{"venue":"Journal of Chengdu University of Information Technology"}},"results":[{"id":"W2380253896","doi":"","title":"Localization Test of the Beijing Shanghai Guangzhou Civil Aviation Numerical Forecast System over Guangdong Area","year":2013,"lang":"en","type":"article","venue":"Journal of Chengdu University of Information Technology","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Beijing; Weather Research and Forecasting Model; Meteorology; Civil aviation; Data assimilation; Environmental science; Precipitation; Quantitative precipitation forecast; Climatology; Aviation; Geography; Engineering; Aerospace engineering; Geology; China","authors":[{"name":"Tian Kai-we","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002786871112434315,"gpt":0.138497706797968,"spread":0.1357108356855337,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004896356,0.0004194413,0.000318931,0.0003356492,0.0003639293,0.0003835698,0.0003366478,0.0003110615,0.0007249874],"category_scores_gemma":[0.0009970901,0.0001623814,0.000257039,0.0003125431,0.0002327061,0.0004576493,0.0003354237,0.0002349328,0.0001233586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009816062,"about_ca_system_score_gemma":0.001159733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1235255,"about_ca_topic_score_gemma":0.06524095,"domain_scores_codex":[0.9998276,0.00002687775,0.00001323868,0.00004752744,0.00004190543,0.00004272856],"domain_scores_gemma":[0.9996693,0.00006355616,0.00004565327,0.00003548746,0.0001248122,0.00006120245],"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":[0.0007404501,0.0001977521,0.141431,0.00006937953,0.0001191439,0.0003368885,0.0001974545,0.8006042,0.02069787,0.0004428831,0.001037624,0.03412544],"study_design_scores_gemma":[0.00009629897,0.0002112433,0.07762346,0.000003474426,0.00003985302,0.00001796602,0.00009226987,0.9155647,0.006011326,0.00006350258,0.0002586295,0.00001721102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980022,0.00002378379,0.001206654,0.00004600401,0.000008155712,0.00000827598,0.00006778564,0.0001147915,0.0005222916],"genre_scores_gemma":[0.9991338,0.00001092713,0.0005212654,0.000004405307,0.000001447086,0.000003903299,0.0001432136,0.000002689966,0.000178437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1235255,"threshold_uncertainty_score":0.245613,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2387323020","doi":"","title":"Comparative Analysis on Four Distribution Simulating Quarter Rainfall——Example for Yibin City","year":2013,"lang":"en","type":"article","venue":"Journal of Chengdu University of Information Technology","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Distribution fitting; Gamma distribution; Goodness of fit; Mathematics; Quarter (Canadian coin); Precipitation; Empirical distribution function; Logarithmic distribution; Anderson–Darling test; Inverse-chi-squared distribution; Statistics; Probability distribution; Kolmogorov–Smirnov test; Meteorology; Statistical hypothesis testing; Geography; Mathematical analysis; Negative binomial distribution","authors":[{"name":"Shujie Yuan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01051944059011121,"gpt":0.1905963636462911,"spread":0.1800769230561799,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007641118,0.0002943189,0.0005282782,0.001203409,0.0006747089,0.0007553606,0.0007073477,0.0005140829,0.00242115],"category_scores_gemma":[0.002202003,0.0002124736,0.0006700008,0.002105422,0.0003443075,0.0007097678,0.0006001687,0.0004790193,0.0001111671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761284,"about_ca_system_score_gemma":0.0008288145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1074303,"about_ca_topic_score_gemma":0.06144596,"domain_scores_codex":[0.9996605,0.00009002724,0.00001670183,0.0000671933,0.00006028777,0.0001052677],"domain_scores_gemma":[0.9989084,0.0004301164,0.00007886934,0.00009269544,0.0004032984,0.00008664647],"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":[0.0006050532,0.0002039582,0.1563483,0.0002097971,0.0001754297,0.00176713,0.000782751,0.7902955,0.003409776,0.007456767,0.004676329,0.03406925],"study_design_scores_gemma":[0.00005559628,0.00006912948,0.08161815,0.00001053109,0.00004704179,0.0001431469,0.0009516421,0.9126278,0.001022558,0.001875907,0.001545051,0.00003348467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923409,0.0001026792,0.004633809,0.0001962735,0.000008989377,0.00001385062,0.0004854188,0.00009875806,0.002119275],"genre_scores_gemma":[0.9975043,0.00006503821,0.001366923,0.00001039738,0.00000307767,0.000009978385,0.000580005,0.00001425787,0.0004460145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1074303,"threshold_uncertainty_score":0.2136099,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}