{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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":"45a28d7ff929","filters":{"venue":"Journal of Korea Water Resources Association"}},"results":[{"id":"W2025945116","doi":"10.3741/jkwra.2010.43.10.865","title":"An Analysis of the Effect of Climate Change on Flow in Nakdong River Basin Using Watershed-Based Model","year":2010,"lang":"en","type":"article","venue":"Journal of Korea Water Resources Association","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Environmental science; Watershed; SWAT model; Climate change; Precipitation; Structural basin; Drainage basin; Hydrology (agriculture); Streamflow; Surface runoff; Soil and Water Assessment Tool; Geology; Meteorology; Geography; Ecology","authors":[{"name":"Tae-Seok Shon","is_ca":false},{"name":"Sang‐Do Lee","is_ca":false},{"name":"Sangdan Kim","is_ca":false},{"name":"Hyun-Suk Shin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008808893686224166,"gpt":0.2312294915229206,"spread":0.2224205978366965,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004299695,0.0003802007,0.0004276853,0.0006568152,0.000439932,0.0008446308,0.0006819674,0.0006870915,0.00122802],"category_scores_gemma":[0.001299183,0.0003142776,0.0009427912,0.0009257098,0.0003573724,0.000773547,0.0004886772,0.0004352904,0.00007914468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001923661,"about_ca_system_score_gemma":0.001672337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2185778,"about_ca_topic_score_gemma":0.1147479,"domain_scores_codex":[0.9998106,0.00004989376,0.00001305877,0.00005417916,0.00002764392,0.00004456065],"domain_scores_gemma":[0.9996355,0.0001639765,0.00004193131,0.00002487411,0.00008832668,0.00004541056],"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":[0.0002051885,0.000179146,0.1964819,0.00009909898,0.0001999357,0.0005137901,0.0002044211,0.7872235,0.002569144,0.001784405,0.001057263,0.009482252],"study_design_scores_gemma":[0.00003298922,0.00004680488,0.06164056,0.00001169465,0.0000689001,0.00002723894,0.0001549874,0.9367126,0.00046708,0.0003744499,0.0004413952,0.00002135885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965035,0.0001257363,0.001313484,0.00015623,0.00001188307,0.00001407445,0.0004682954,0.00006907838,0.001337706],"genre_scores_gemma":[0.9983375,0.0001284878,0.0005688507,0.00001034752,0.000003350081,0.00001475801,0.0004939315,0.000009756308,0.0004329633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2185778,"threshold_uncertainty_score":0.4346111,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W899128064","doi":"","title":"Modeling of 2-D Advection-Diffusion in Natural Streams Using Particle Discrete Probability Distribution Model","year":2001,"lang":"en","type":"article","venue":"Journal of Korea Water Resources Association","topic":"Groundwater flow and contamination studies","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":"Advection; Dispersion (optics); Diffusion; Mixing (physics); Probability mass function; Stability (learning theory); Mathematics; Displacement (psychology); Distribution (mathematics); Particle (ecology); Variance (accounting); Probability density function; Statistical physics; Mechanics; Statistics; Computer science; Physics; Mathematical analysis; Geology; Thermodynamics","authors":[{"name":"Yeong-Do Kim","is_ca":false},{"name":"Il Won Seo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01394427105339,"gpt":0.2308746214437204,"spread":0.2169303503903304,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000388892,0.0004042327,0.0005558751,0.0004840315,0.000385921,0.0007911364,0.0008717531,0.0009670721,0.0006814523],"category_scores_gemma":[0.0009137488,0.0003609596,0.0005539549,0.0005263872,0.0004282966,0.0009750391,0.0003883176,0.0004974676,0.0001223161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007401476,"about_ca_system_score_gemma":0.001041567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01146974,"about_ca_topic_score_gemma":0.00481714,"domain_scores_codex":[0.9998363,0.00004120078,0.00001239046,0.00004020755,0.00005037426,0.00001946011],"domain_scores_gemma":[0.9997029,0.000167318,0.00004297811,0.00001323346,0.00005682103,0.00001669451],"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":[0.00001171014,0.00001698742,0.0009820403,0.00002128349,0.000007909362,0.0000598307,0.000024866,0.9899551,0.001361509,0.004637353,0.0001052745,0.002816041],"study_design_scores_gemma":[0.000002598987,0.000003451996,0.00007995065,5.459465e-7,0.000001291586,0.000007328681,0.000001868588,0.9993319,0.000127779,0.000358649,0.00008262374,0.000001986061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.074638,0.0001779938,0.9226381,0.000161293,0.00004316563,0.00006264153,0.0001936491,0.0002488074,0.00183634],"genre_scores_gemma":[0.9224452,0.0004745061,0.07251371,0.00004066311,0.00003589585,0.0002515926,0.0001827809,0.00003032909,0.004025368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01146974,"threshold_uncertainty_score":0.02280599,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2043507675","doi":"10.3741/jkwra.2013.46.8.857","title":"Inflow Estimation into Chungju Reservoir Using RADAR Forecasted Precipitation Data and ANFIS","year":2013,"lang":"en","type":"article","venue":"Journal of Korea Water Resources Association","topic":"Hydrological Forecasting Using AI","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":"Nowcasting; Precipitation; Environmental science; Adaptive neuro fuzzy inference system; Meteorology; Flash flood; Radar; Extrapolation; Flood myth; Inflow; Remote sensing; Computer science; Fuzzy logic; Geography; Mathematics; Fuzzy control system; Statistics; Artificial intelligence","authors":[{"name":"Chang-Won Choi","is_ca":false},{"name":"Jaeeung Yi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02454166672403434,"gpt":0.2546429227964877,"spread":0.2301012560724534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002089413,0.0004924519,0.0003334844,0.0006667074,0.0003658857,0.0004672594,0.0003301958,0.0003158197,0.0006759415],"category_scores_gemma":[0.0004961064,0.0003277742,0.0004348333,0.0005490946,0.0001225089,0.0005782788,0.0003336081,0.0003618544,0.00008118682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004839521,"about_ca_system_score_gemma":0.0009748038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03979837,"about_ca_topic_score_gemma":0.03950404,"domain_scores_codex":[0.999929,0.000009615162,0.000009846483,0.000018718,0.00001631016,0.00001651769],"domain_scores_gemma":[0.999838,0.00004627943,0.00002591647,0.000007855226,0.00006607976,0.00001590189],"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":[0.0003824064,0.000246075,0.08130016,0.000282323,0.0001193066,0.001112982,0.0003503113,0.7909788,0.02536238,0.001197601,0.001454264,0.09721334],"study_design_scores_gemma":[0.000007152727,0.00003114856,0.007922314,0.000008736925,0.00002094499,0.00001601012,0.00005056186,0.9895021,0.00217201,0.000130648,0.0001288117,0.000009587587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726174,0.0001257765,0.02455438,0.0001059315,0.00002970425,0.00004019909,0.0003827304,0.0003910224,0.001752833],"genre_scores_gemma":[0.9948409,0.000066457,0.004315543,0.000007054716,0.000003990037,0.00001795132,0.0002046676,0.000007634596,0.0005357106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03979837,"threshold_uncertainty_score":0.07913345,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}