{"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":"48a0b8f69788","filters":{"venue":"Water and Environmental Sustainability"}},"results":[{"id":"W4389538334","doi":"10.52293/wes.3.3.5964","title":"Impact of sub-rivers feeding the Shatt Al- Arab River on its water quality","year":2023,"lang":"en","type":"article","venue":"Water and Environmental Sustainability","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Water quality; Environmental science; Hydrology (agriculture); Geology; Ecology; Biology","authors":[{"name":"Zuhal Abdulhadi Hamza","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02444358550573185,"gpt":0.2966708494838062,"spread":0.2722272639780744,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001643344,0.0001573671,0.0002008455,0.000433922,0.0004979204,0.0007677653,0.0001099737,0.0002374704,0.0009574436],"category_scores_gemma":[0.0003226736,0.0001202153,0.0001350631,0.00082467,0.0004370995,0.0002148582,0.0003788638,0.0001629956,0.0001130484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006019702,"about_ca_system_score_gemma":0.001137803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03068586,"about_ca_topic_score_gemma":0.08225214,"domain_scores_codex":[0.9997991,0.00005368652,0.00001330245,0.00003282536,0.00004860017,0.00005242617],"domain_scores_gemma":[0.9997887,0.00004157069,0.00005857622,0.000009299446,0.00006550729,0.00003637851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002992311,0.0001287691,0.949919,0.00009489807,0.00006932847,0.001055258,0.001189486,0.0008182189,0.01740975,0.0003051774,0.0002352601,0.02847558],"study_design_scores_gemma":[0.000007610373,0.0001591847,0.992856,0.00001255163,0.00002797748,0.0002165525,0.002589856,0.0008661354,0.001438452,0.00009501576,0.001723776,0.000006803041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998714,0.00005971805,0.00005432943,0.00001992118,0.00000197512,0.000003852833,0.00003971631,0.000003211732,0.001103319],"genre_scores_gemma":[0.9992656,0.00008563635,0.00009635326,0.00001220874,0.000001795134,0.000003579828,0.00004881423,8.56214e-7,0.0004850542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03068586,"threshold_uncertainty_score":0.06101447,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391097306","doi":"10.52293/wes.4.2.5270","title":"Evaluating semi-arid lake water quality. A synergy of water quality indices, multivariate statistics and geospatial technology","year":2024,"lang":"en","type":"article","venue":"Water and Environmental Sustainability","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Multivariate statistics; Water quality; Arid; Quality (philosophy); Multivariate analysis; Environmental science; Statistics; Hydrology (agriculture); Water resource management; Geography; Mathematics; Remote sensing; Geology; Ecology; Biology","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01765720797721471,"gpt":0.3200604992825933,"spread":0.3024032913053786,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005218961,0.000267504,0.0002464449,0.00179881,0.0002479276,0.0007055101,0.0001540472,0.0001267324,0.0004543359],"category_scores_gemma":[0.0006510981,0.00010413,0.000277165,0.002192027,0.0002108756,0.0004176397,0.0003396426,0.0001149253,0.00008349341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004915658,"about_ca_system_score_gemma":0.0006433263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01189255,"about_ca_topic_score_gemma":0.03407401,"domain_scores_codex":[0.9996691,0.0000876783,0.00002597422,0.00003655331,0.0001521429,0.00002851119],"domain_scores_gemma":[0.999703,0.00006107192,0.00009784174,0.00001417347,0.00009617009,0.00002774857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000148569,0.0001532502,0.7687978,0.0003330204,0.0002345073,0.0002900531,0.0004333638,0.006545093,0.03362017,0.0006363368,0.0008076724,0.1880001],"study_design_scores_gemma":[0.000007669067,0.000270255,0.9611313,0.00001478641,0.00006047735,0.000194227,0.000836176,0.02830086,0.006624883,0.000487233,0.002045019,0.00002706928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881449,0.0004761082,0.008750621,0.00009235977,0.000005210243,0.00004712702,0.0007573467,0.00007447194,0.001651862],"genre_scores_gemma":[0.9916869,0.0001867016,0.007166956,0.00001247746,0.000004589787,0.00002028126,0.0004964038,0.000006105768,0.0004194977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01189255,"threshold_uncertainty_score":0.02364665,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}