{"meta":{"query_hash":"cafb370f89c5","filters":{"venue":"Journal of environmental health"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/cafb370f89c5","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+environmental+health"},"results":[{"id":"W2360839103","doi":"","title":"Water Intake Rate in Health Risk Assessment for Drinking Water Exposure","year":2012,"lang":"en","type":"article","venue":"Journal of environmental health","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental health; Water intake; Environmental science; Affect (linguistics); Health risk assessment; Risk assessment; Health risk; Exposure assessment; Toxicology; Environmental engineering; Medicine; Psychology; Economics; Biology","score_opus":0.027638374861160074,"score_gpt":0.30595533307839295,"score_spread":0.2783169582172329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2360839103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99447656,0.00022857504,0.0025556446,0.0016648558,0.00065237493,0.00031690722,0.000011082285,0.000008314146,0.000085672975],"genre_scores_gemma":[0.99169624,0.00025813765,0.006867906,0.00058577134,0.00039553188,0.000009709777,0.00001001595,0.000028928229,0.00014774098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99694794,0.00045105512,0.0010583347,0.00019158237,0.00040215452,0.00094894937],"domain_scores_gemma":[0.99886364,0.00008023238,0.00048781195,0.00016329743,0.0000023019159,0.00040271698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006597266,0.0001923693,0.0003966228,0.000073874064,0.00032392572,0.000023224038,0.00018155092,0.00006497358,0.00043817773],"category_scores_gemma":[0.000013501844,0.00012450441,0.00013151989,0.000040309074,0.00008185092,0.0005031349,0.0001433662,0.0004671769,0.00006128228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007529132,0.0005809101,0.92315733,0.00006977366,0.000022035441,0.0000035374476,0.008933082,0.0020271463,0.0061694775,0.0000090335725,0.00032783943,0.058624525],"study_design_scores_gemma":[0.001984758,0.0018307877,0.952306,0.00017219377,0.000014580063,0.00007009675,0.0020267186,0.00036868808,0.006205647,0.00048734172,0.03418526,0.00034794808],"about_ca_topic_score_codex":0.00017729579,"about_ca_topic_score_gemma":0.000026157877,"teacher_disagreement_score":0.05827658,"about_ca_system_score_codex":0.0018360486,"about_ca_system_score_gemma":0.000019903506,"threshold_uncertainty_score":0.5077142},"labels":[],"label_agreement":null},{"id":"W2365395521","doi":"","title":"Dynamic Monitoring of Microorganism in Air of Jiujiang City","year":2003,"lang":"en","type":"article","venue":"Journal of environmental health","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Residence; Environmental engineering; Environmental science; Geography; Economics; Demographic economics","score_opus":0.010134514248308663,"score_gpt":0.25479965117311637,"score_spread":0.2446651369248077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2365395521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99870867,0.00037028154,0.0001424772,0.00013491139,0.00019203237,0.00011539166,0.000016482258,0.0000016415269,0.00031811045],"genre_scores_gemma":[0.99507236,0.00026933567,0.004453677,0.00009141132,0.000012129131,3.8232847e-7,6.659426e-7,0.000011497805,0.00008852604],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982755,0.00018657612,0.0008562771,0.00012522974,0.00030695932,0.00024944128],"domain_scores_gemma":[0.99898756,0.000036849284,0.00071881793,0.00014291256,0.0000026542934,0.00011118386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009919555,0.00011683036,0.00035333986,0.000070448536,0.000051593288,0.0000015839304,0.00017954696,0.00007187982,0.00044658722],"category_scores_gemma":[0.000019933186,0.000112155794,0.00010776113,0.00012445435,0.0001767604,0.00016822295,0.000052084364,0.0002634533,0.000012954101],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064558655,0.0007554902,0.44511417,0.00007325423,0.00001623562,0.000014265601,0.0024372635,0.00080975884,0.54688084,0.000035197878,0.000076840704,0.0037221138],"study_design_scores_gemma":[0.0011388368,0.0006137347,0.8764882,0.0001496688,0.0000094155375,0.0001175799,0.0016244814,0.0000074328914,0.11833286,0.00025124932,0.0011237053,0.0001428131],"about_ca_topic_score_codex":0.0001612931,"about_ca_topic_score_gemma":0.000054196586,"teacher_disagreement_score":0.43137404,"about_ca_system_score_codex":0.0006836092,"about_ca_system_score_gemma":0.00004429208,"threshold_uncertainty_score":0.4889817},"labels":[],"label_agreement":null},{"id":"W2382426256","doi":"","title":"Exposure Factors of Activity Patterns in Environmental Health Risk Assessment","year":2012,"lang":"en","type":"article","venue":"Journal of environmental health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Respondent; Population; Environmental health; Geography; Exposure assessment; Demography; Telephone interview; Environmental epidemiology; Telephone survey; Medicine; Psychology; Business","score_opus":0.03863810283021372,"score_gpt":0.3397960092664612,"score_spread":0.30115790643624746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2382426256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995919,0.00070536113,0.0006853944,0.0015502654,0.00032144395,0.000421801,0.0002780889,0.0000064557935,0.0001121726],"genre_scores_gemma":[0.99396366,0.0029357024,0.0016482419,0.0012566308,0.000109997745,0.0000033711028,0.000012831221,0.000031356558,0.000038192233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952437,0.0009838073,0.001424342,0.0002567768,0.0010829039,0.001008439],"domain_scores_gemma":[0.9960163,0.00016819747,0.0023781918,0.00032553636,0.0000012363699,0.0011104868],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033608219,0.00031394817,0.0007843722,0.00013959369,0.00022951979,0.0000102681915,0.000295674,0.00013094308,0.00203112],"category_scores_gemma":[0.000023804685,0.0002735592,0.00019615125,0.0001233188,0.00021783404,0.00094688265,0.00019254806,0.00088482205,0.000040085433],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070646245,0.0021516427,0.9566139,0.00007166733,0.000018264482,0.0000027223402,0.004300404,0.00019739196,0.0005666441,0.000005511827,0.00045846804,0.035542734],"study_design_scores_gemma":[0.0010204667,0.0018310533,0.99213797,0.00007761842,0.0000102665535,0.00003244097,0.0020070965,0.000049871956,0.00036119416,0.000038070863,0.0022392017,0.00019477807],"about_ca_topic_score_codex":0.0014603541,"about_ca_topic_score_gemma":0.000213427,"teacher_disagreement_score":0.035524037,"about_ca_system_score_codex":0.0038066113,"about_ca_system_score_gemma":0.00012439764,"threshold_uncertainty_score":0.9999717},"labels":[],"label_agreement":null},{"id":"W2391136916","doi":"","title":"Health Risk Assessment of Metal Elements in Drinking Water in 10 Cities,Guangdong Province","year":2012,"lang":"en","type":"article","venue":"Journal of environmental health","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Health risk assessment; Quarter (Canadian coin); Environmental health; Water quality; Health risk; Environmental science; Toxicology; Hazard quotient; Heavy metals; Health hazard; Risk assessment; Environmental chemistry; Geography; Chemistry; Medicine; Biology","score_opus":0.019619923003620355,"score_gpt":0.30973723969268735,"score_spread":0.290117316689067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2391136916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972869,0.0005653027,0.00019203415,0.0008082214,0.0001843767,0.00039692404,0.000036626836,0.0000037901307,0.00052583084],"genre_scores_gemma":[0.994948,0.00095447345,0.0032581787,0.00058966444,0.000063392785,0.0000058395663,0.000015993195,0.000021665568,0.00014276724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995733,0.0007474469,0.0016431086,0.00022267505,0.0008461279,0.00080760306],"domain_scores_gemma":[0.99826264,0.000068894944,0.0011390654,0.0002141391,0.0000010574664,0.0003141984],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004543403,0.00022829915,0.00056799274,0.00016953917,0.000121759105,0.000009237151,0.00025056463,0.00007824351,0.0022580158],"category_scores_gemma":[0.000013043376,0.0001886067,0.00012873963,0.000118305914,0.00021179832,0.0008562502,0.00023391536,0.0005332862,0.00006567956],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005477151,0.0012124196,0.978285,0.000047652917,0.000015866552,0.000005318018,0.002099397,0.0009378801,0.0030922259,0.000031177937,0.00011788349,0.014100382],"study_design_scores_gemma":[0.0012246938,0.0007131442,0.9917894,0.000106371925,0.000009027991,0.000032129752,0.00087470096,0.00014206715,0.0011531218,0.000118633885,0.0036592807,0.00017742386],"about_ca_topic_score_codex":0.0010437937,"about_ca_topic_score_gemma":0.00086995,"teacher_disagreement_score":0.013922959,"about_ca_system_score_codex":0.003533495,"about_ca_system_score_gemma":0.000056423367,"threshold_uncertainty_score":0.99865407},"labels":[],"label_agreement":null}]}