{"meta":{"query_hash":"8f79d4612c62","filters":{"venue":"International Journal of Biometeorology"},"cohort_total":130,"direct_labels_cover":0,"predictions_cover":130,"exported":130,"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/8f79d4612c62","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Biometeorology"},"results":[{"id":"W1496553296","doi":"10.1007/s00484-002-0148-9","title":"Using weather indices to predict survival of winter wheat in a cool temperate environment","year":2003,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Snow; Environmental science; Temperate climate; Weather station; Cultivar; Loam; Winter wheat; Air temperature; Biometeorology; Flooding (psychology); Precipitation; Climatology; Agronomy; Meteorology; Geography; Biology; Ecology; Soil water","score_opus":0.024735990460538926,"score_gpt":0.25488392696639683,"score_spread":0.2301479365058579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496553296","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":[0.99802446,0.00013428273,0.00008869099,0.0011408248,0.00038663347,0.00007299448,0.000021160926,0.000005457124,0.00012547585],"genre_scores_gemma":[0.9993727,0.000051391817,0.00028478322,0.00019832134,0.00006868595,0.0000021477997,0.0000017255742,0.0000010781708,0.000019140822],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989467,0.00013082795,0.0004296138,0.000120064775,0.00021444046,0.00015831307],"domain_scores_gemma":[0.9994852,0.000107273765,0.00023593553,0.00003312449,0.00008960104,0.000048889753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048871257,0.000090402806,0.00023437834,0.00015908224,0.000019031124,0.000009959542,0.00035579735,0.00012166383,0.0007052577],"category_scores_gemma":[0.00006688512,0.00004002495,0.00008142889,0.0001557192,0.00008549876,0.00007892328,0.000048761143,0.00013009303,0.000011175288],"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":[0.00033759163,0.00016963537,0.24860258,0.0000011765904,0.000108616536,0.000039539074,0.000084070874,0.000071516464,0.7452001,0.00029570845,0.00002332269,0.0050661312],"study_design_scores_gemma":[0.0037208921,0.0042541577,0.8697721,0.00015177339,0.00009110462,0.00080545805,0.0014082569,0.00017332404,0.09461626,0.0030707386,0.021470064,0.0004658875],"about_ca_topic_score_codex":0.000034724664,"about_ca_topic_score_gemma":0.00012554834,"teacher_disagreement_score":0.65058386,"about_ca_system_score_codex":0.000048318667,"about_ca_system_score_gemma":0.000011153384,"threshold_uncertainty_score":0.77220774},"labels":[],"label_agreement":null},{"id":"W1672381717","doi":"10.1007/s00484-015-1054-2","title":"Thermal comfort in Quebec City, Canada: sensitivity analysis of the UTCI and other popular thermal comfort indices in a mid-latitude continental city","year":2015,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université Laval","funders":"","keywords":"Environmental science; Wind speed; Thermal comfort; Meteorology; Climatology; Equivalent temperature; Mean radiant temperature; Latitude; Apparent temperature; Climate change; Humidity; Geography","score_opus":0.01678513239833,"score_gpt":0.24899587490151948,"score_spread":0.2322107425031895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1672381717","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":[0.9983913,0.00004142026,0.000043459553,0.0008487511,0.0002600834,0.000082172955,0.00004550373,0.0000016131158,0.00028573934],"genre_scores_gemma":[0.99936545,0.0000024226115,0.000097216,0.00044579018,0.00003466207,0.0000012510916,0.0000058791056,0.00000478083,0.00004255744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847996,0.00022326302,0.00048164884,0.00013075395,0.00053303404,0.00015133181],"domain_scores_gemma":[0.99931735,0.00009313212,0.00039073318,0.00009386558,0.000038513997,0.000066404806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085210014,0.00010125868,0.0002947269,0.0003322217,0.000018212697,0.0000141717865,0.00027213615,0.00007499685,0.00014722075],"category_scores_gemma":[0.00006697298,0.000073341114,0.000077196215,0.0004136675,0.0002506598,0.00017920474,0.00017047346,0.00017623324,4.6261846e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012362607,0.00008714544,0.98369753,8.8104923e-7,0.00022765134,0.000057602327,0.0006047163,0.0035872585,0.010673402,0.000023104842,0.000058505313,0.0008585779],"study_design_scores_gemma":[0.00086360134,0.000046921148,0.9952735,0.000010193831,0.00006578231,0.000040710875,0.000107384316,0.0016622258,0.0014383501,0.000049574104,0.00037277828,0.00006903372],"about_ca_topic_score_codex":0.7442286,"about_ca_topic_score_gemma":0.96677023,"teacher_disagreement_score":0.22254163,"about_ca_system_score_codex":0.0004449502,"about_ca_system_score_gemma":0.00012132621,"threshold_uncertainty_score":0.29907638},"labels":[],"label_agreement":null},{"id":"W1959186457","doi":"10.1007/s00484-015-1059-x","title":"The effect of temperature on arson incidence in Toronto, Ontario, Canada","year":2015,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Arson; Poison control; Environmental science; Meteorology; Precipitation; Climatology; Geography; Psychology; Medical emergency; Criminology; Medicine; Geology","score_opus":0.006766340464516372,"score_gpt":0.29019016590457347,"score_spread":0.2834238254400571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1959186457","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":[0.9970768,0.0006018883,0.0000035729984,0.00072062394,0.0009903166,0.00006442577,0.000010448647,5.94254e-7,0.0005313106],"genre_scores_gemma":[0.9993887,0.000057598696,0.00004575209,0.00014167305,0.00017649334,0.0000024877952,0.000013715393,0.0000062667705,0.00016730842],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876714,0.00020349449,0.00031639088,0.00011761883,0.00043099077,0.00016438663],"domain_scores_gemma":[0.99903005,0.00015671374,0.0002154666,0.0001385852,0.0003767451,0.00008243073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077538413,0.0000948616,0.0001689529,0.00008894978,0.00001703116,0.000017519253,0.0005713935,0.00010644471,0.0000342828],"category_scores_gemma":[0.00050472206,0.000063543615,0.000058282683,0.00006387287,0.00007997034,0.000008992386,0.000083637475,0.00019752685,0.0000011566576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056666494,0.000053271735,0.24458802,0.000004770829,0.0002568059,0.00019908343,0.00010659085,0.00015074722,0.7380885,0.000035228448,0.00748153,0.003368794],"study_design_scores_gemma":[0.0036693416,0.0087484075,0.3789162,0.00005945856,0.000018482233,0.0008395738,0.00014219785,0.000028565679,0.56125075,0.00005190123,0.04607144,0.00020371011],"about_ca_topic_score_codex":0.3469223,"about_ca_topic_score_gemma":0.92372054,"teacher_disagreement_score":0.5767982,"about_ca_system_score_codex":0.0006162361,"about_ca_system_score_gemma":0.0008758755,"threshold_uncertainty_score":0.6574266},"labels":[],"label_agreement":null},{"id":"W1965402362","doi":"10.1007/s00484-005-0262-6","title":"Frequency of emergency room visits for childhood asthma in Ottawa, Canada: the role of weather","year":2005,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto; University of Ottawa; Health Canada","funders":"","keywords":"Asthma; Thunderstorm; Emergency department; Medicine; Relative humidity; Snow; Meteorology; Maximum sustained wind; Odds ratio; Precipitation; Wind speed; Environmental science; Demography; Geography; Wind direction; Internal medicine","score_opus":0.01400768452238161,"score_gpt":0.2830794754602866,"score_spread":0.269071790937905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965402362","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":[0.99047667,0.0006725613,0.000057029414,0.0073402347,0.00047498953,0.00009716186,0.000062834886,9.3011687e-7,0.0008175855],"genre_scores_gemma":[0.99867576,0.00012432183,0.00059250614,0.00036828,0.00020318234,0.00000275811,0.000002966016,0.0000061543556,0.000024072418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987987,0.000040114108,0.0006007784,0.000078232224,0.0003108624,0.00017130993],"domain_scores_gemma":[0.999177,0.000093277464,0.00051839586,0.000077444696,0.00007607812,0.000057806614],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004375311,0.00007000845,0.00017315472,0.00013835564,0.000018236617,0.0000021701414,0.00042044095,0.000049156955,0.0015513483],"category_scores_gemma":[0.00009800981,0.000049787057,0.00006936238,0.00013955668,0.000025398236,0.00010264903,0.000049388396,0.000091412214,0.0000041382978],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019236922,0.0006416032,0.7421269,0.000013427368,0.00016666196,0.000016554346,0.002507097,0.0008128612,0.10280746,0.0012777111,0.0072447434,0.14219265],"study_design_scores_gemma":[0.0009776745,0.00040936336,0.96104455,0.00002919056,0.00001385531,0.00008667737,0.00023054933,0.0002461388,0.00875529,0.007446423,0.020669939,0.0000903432],"about_ca_topic_score_codex":0.02798586,"about_ca_topic_score_gemma":0.26648295,"teacher_disagreement_score":0.23849708,"about_ca_system_score_codex":0.00018524315,"about_ca_system_score_gemma":0.00008325745,"threshold_uncertainty_score":0.9993614},"labels":[],"label_agreement":null},{"id":"W1965842988","doi":"10.1007/s00484-015-0960-7","title":"Determining the influence of Itaipu Lake on thermal conditions for soybean development in adjacent lands","year":2015,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Transect; Phenology; Environmental science; Shore; Air temperature; Physical geography; Hydrology (agriculture); Geostatistics; Wind speed; Atmospheric sciences; Spatial variability; Geography; Meteorology; Ecology; Geology; Biology; Mathematics","score_opus":0.019968178839521122,"score_gpt":0.277622510703375,"score_spread":0.2576543318638539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965842988","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":[0.9980001,0.000006361783,0.00007928413,0.001036706,0.00033747245,0.00007954556,0.000008284205,0.0000023896048,0.0004498973],"genre_scores_gemma":[0.9977376,0.0000020490195,0.0017637598,0.0003899428,0.00006360066,0.0000012953919,0.000007021888,0.0000041309136,0.0000306175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990515,0.000054139055,0.00035122377,0.00008365775,0.00034389066,0.00011557638],"domain_scores_gemma":[0.9992855,0.00016911779,0.000304135,0.000060657585,0.0001344805,0.000046081794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004531538,0.000071244845,0.00011763524,0.00011885201,0.00002301937,0.000010836665,0.00037348268,0.000051379768,0.000036012836],"category_scores_gemma":[0.00019959638,0.000042558797,0.000045525456,0.00010877637,0.0001283911,0.000091006164,0.00006701992,0.000110382636,0.000013134747],"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":[0.0007856313,0.0006674798,0.74768513,0.000006068844,0.00026752314,0.000089162735,0.0052910983,0.09533685,0.114962466,0.00026445213,0.004949301,0.029694851],"study_design_scores_gemma":[0.0011043309,0.0003602501,0.9833021,0.000029664376,0.0000073775245,0.00007672936,0.0000803353,0.00020375256,0.0041632587,0.00031614501,0.01028846,0.000067567875],"about_ca_topic_score_codex":0.0000072042512,"about_ca_topic_score_gemma":0.00015568352,"teacher_disagreement_score":0.23561701,"about_ca_system_score_codex":0.00013449111,"about_ca_system_score_gemma":0.000035500747,"threshold_uncertainty_score":0.17354974},"labels":[],"label_agreement":null},{"id":"W1966883098","doi":"10.1007/s00484-014-0900-y","title":"Local adaptations and climate change: converging sensitivity of bud break in black spruce provenances","year":2014,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Annual growth cycle of grapevines; Phenology; Ecotype; Biology; photoperiodism; Growing season; Climate change; Frost (temperature); Black spruce; Boreal; Taiga; Horticulture; Ecology; Botany; Shoot; Geography","score_opus":0.009106239075977532,"score_gpt":0.23313041564652542,"score_spread":0.2240241765705479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966883098","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":[0.9918482,0.000027055406,0.0065089506,0.00086481334,0.00020448599,0.0000403277,0.00001895587,0.0000024078242,0.00048485282],"genre_scores_gemma":[0.9989687,0.00015408982,0.0007104959,0.000118263866,0.000034840752,9.902928e-7,0.0000035238702,0.0000034343495,0.000005646083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925137,0.00009907692,0.0002775934,0.00008749971,0.00017943319,0.00010505033],"domain_scores_gemma":[0.99950546,0.00013128723,0.0002528144,0.00004170565,0.000034511664,0.000034229775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060444954,0.000058613972,0.0001373795,0.00018098774,0.000013679511,0.000008596165,0.00010142007,0.000047116548,0.00003007631],"category_scores_gemma":[0.000027473561,0.00005057744,0.00003137094,0.00010704722,0.00025567855,0.00018901326,0.00007940812,0.0000894188,0.000006092387],"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":[0.00028760196,0.00021156397,0.76320523,0.000014502014,0.000090183814,0.00013330637,0.0013791964,0.022248797,0.050758593,0.0074332836,0.000022646638,0.15421507],"study_design_scores_gemma":[0.0008423853,0.00020669958,0.71780324,0.000048686063,0.000017905744,0.00049741764,0.00007885193,0.27665183,0.0011518666,0.0017189683,0.00087703404,0.00010514606],"about_ca_topic_score_codex":0.00024575257,"about_ca_topic_score_gemma":0.0004350743,"teacher_disagreement_score":0.25440302,"about_ca_system_score_codex":0.000047428177,"about_ca_system_score_gemma":0.00000609734,"threshold_uncertainty_score":0.20624882},"labels":[],"label_agreement":null},{"id":"W1968250227","doi":"10.1007/s00484-013-0657-8","title":"Advanced view factor analysis method for radiation exchange","year":2013,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Sky; Factor (programming language); Vegetation (pathology); Terrain; Street canyon; Environmental science; Geography; Raster graphics; Remote sensing; Cartography; Meteorology; Computer science; Artificial intelligence","score_opus":0.011193234638857984,"score_gpt":0.29862784404154935,"score_spread":0.2874346094026914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968250227","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":[0.6734667,0.0002854088,0.32108784,0.0033477228,0.0010554955,0.00027667815,0.000043502776,0.000011301976,0.00042536162],"genre_scores_gemma":[0.94532657,0.00011321447,0.053348333,0.0007173693,0.00019731984,0.000029308558,0.000027856013,0.000008579247,0.00023143349],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989794,0.00008462889,0.00038323118,0.00013416445,0.00027943085,0.00013913338],"domain_scores_gemma":[0.9991375,0.00021796027,0.00036227753,0.00008086206,0.00012896858,0.00007239294],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030194086,0.000083949126,0.00020465668,0.00039911398,0.000025930345,0.00002646705,0.00029755777,0.00006743247,0.005493731],"category_scores_gemma":[0.00011067021,0.00006909166,0.00019056583,0.0003280648,0.000041314055,0.0003974452,0.000043770695,0.00006519352,0.00010742196],"study_design_candidate":"design_other","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":[0.000097185475,0.00009082093,0.040967353,0.0000045076395,0.00092251133,0.0000048360102,0.00036692343,0.0008706396,0.09684024,0.000096390904,0.004581122,0.8551575],"study_design_scores_gemma":[0.0030664844,0.0010191292,0.7744116,0.000012072633,0.0005422572,0.00013072243,0.000068256355,0.016213955,0.021187479,0.0076046335,0.17538093,0.00036248207],"about_ca_topic_score_codex":0.00009106039,"about_ca_topic_score_gemma":0.00003396004,"teacher_disagreement_score":0.854795,"about_ca_system_score_codex":0.0001752428,"about_ca_system_score_gemma":0.000010334212,"threshold_uncertainty_score":0.9954154},"labels":[],"label_agreement":null},{"id":"W1969179476","doi":"10.1007/s00484-006-0066-3","title":"Risk assessment of the gypsy moth, Lymantria dispar (L), in New Zealand based on phenology modelling","year":2006,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Gypsy moth; Lymantria dispar; Phenology; Range (aeronautics); Geography; Climate change; Ecology; Nova scotia; Seasonality; Biology; Lepidoptera genitalia; Archaeology","score_opus":0.007159655909254056,"score_gpt":0.2542644577152819,"score_spread":0.24710480180602784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969179476","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":[0.9729886,0.000029841303,0.020149427,0.0042373408,0.00065292715,0.00006173443,0.000009334945,0.0000025184029,0.0018682941],"genre_scores_gemma":[0.996149,0.00004010596,0.0032860395,0.00026686073,0.00007198337,0.0000012431407,0.0000019673987,0.0000045081615,0.00017831264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988888,0.00016133746,0.00044755937,0.00011510848,0.0002555854,0.00013162804],"domain_scores_gemma":[0.9990024,0.00029398495,0.0005516792,0.00008792185,0.00004116745,0.000022851415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044220535,0.00008149964,0.00018040076,0.00021733603,0.00003754543,0.0000058552723,0.00038352236,0.000080234306,0.00021787242],"category_scores_gemma":[0.000054208856,0.000056644043,0.000086617445,0.0001629801,0.00020205605,0.00006611907,0.00007687348,0.00019971434,0.000006515515],"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":[0.00007482662,0.00011316549,0.5876318,4.5190254e-7,0.00003264535,0.000007777477,0.00002863692,0.40993318,0.0004532628,0.0009991357,0.0002600816,0.0004650008],"study_design_scores_gemma":[0.0012926635,0.00019567796,0.8003239,0.00000920843,0.000019631314,0.000018880475,0.000010565654,0.1828889,0.00013865107,0.014645675,0.00040436865,0.00005189338],"about_ca_topic_score_codex":0.00047499393,"about_ca_topic_score_gemma":0.0009656633,"teacher_disagreement_score":0.22704428,"about_ca_system_score_codex":0.00014457379,"about_ca_system_score_gemma":0.00005033249,"threshold_uncertainty_score":0.23855503},"labels":[],"label_agreement":null},{"id":"W1975328522","doi":"10.1007/s004840000050","title":"Spring phenology trends in Alberta, Canada: links to ocean temperature","year":2000,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":286,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Division of Mathematical Sciences; University of Alberta","keywords":"Spring (device); Phenology; Bloom; Climatology; Geography; Oceanography; Spring bloom; Physical geography; Environmental science; Ecology; Biology; Geology; Phytoplankton","score_opus":0.0039181279957642996,"score_gpt":0.2087675546690661,"score_spread":0.2048494266733018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975328522","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":[0.9884243,0.000017931825,0.000011478562,0.007545467,0.0004920368,0.000019344903,0.000010930692,0.0000022936592,0.0034761915],"genre_scores_gemma":[0.9966145,0.00001839782,0.0003828282,0.0012607179,0.00008209647,5.144818e-7,0.000007105664,0.0000057880557,0.001628065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910176,0.00003971367,0.00032394967,0.00012376136,0.00023781587,0.00017297696],"domain_scores_gemma":[0.99969894,0.000042101146,0.00008555651,0.00007124541,0.000018528952,0.00008362999],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013720356,0.00008343351,0.00014141327,0.00031502312,0.00001776304,0.000013865395,0.00039993966,0.00012507541,0.0024922297],"category_scores_gemma":[0.000014303571,0.00007242885,0.000041369334,0.00027446166,0.000039502396,0.00009372849,0.000053938216,0.00028845188,0.000041122363],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005293627,0.00022336117,0.6148445,0.000001275964,0.00021619961,0.0012568008,0.00064748165,0.12609729,0.013103337,0.00046869117,0.005502048,0.23710965],"study_design_scores_gemma":[0.0012712844,0.00031012238,0.7717331,0.000019029841,0.000019073672,0.0013364981,0.000018569366,0.0038967477,0.00049070665,0.000575374,0.22004563,0.00028389593],"about_ca_topic_score_codex":0.21751685,"about_ca_topic_score_gemma":0.60374826,"teacher_disagreement_score":0.3862314,"about_ca_system_score_codex":0.00031484175,"about_ca_system_score_gemma":0.00003662413,"threshold_uncertainty_score":0.99841964},"labels":[],"label_agreement":null},{"id":"W1977242602","doi":"10.1007/s004840000070","title":"Heat-stress-related mortality in five cities in Southern Ontario: 1980-1996","year":2000,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":186,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Mashhad University of Medical Sciences; University of Alberta","keywords":"Geography; Urban heat island; Population; Windsor; Vulnerability (computing); Metropolitan area; Extreme heat; Climate change; Urbanization; Heat index; Heat stress; Socioeconomic status; Apparent temperature; Demography; Extreme weather; Environmental science; Meteorology; Atmospheric sciences; Ecology; Humidity","score_opus":0.02801427982607103,"score_gpt":0.30446867875114253,"score_spread":0.2764543989250715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977242602","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":[0.9940507,0.0000884699,0.0000013765415,0.0019809175,0.00043632605,0.000064125285,0.000043667147,0.000004293628,0.0033301613],"genre_scores_gemma":[0.9981509,0.00013693783,0.00006273584,0.00079784275,0.00006388775,0.0000023546374,0.000012809378,0.0000068271524,0.00076573103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856335,0.000086755535,0.00060961687,0.00014026645,0.0003334329,0.0002665958],"domain_scores_gemma":[0.99961025,0.00007523943,0.00011151563,0.00008225313,0.000021497814,0.00009924246],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047658768,0.00010369153,0.000225832,0.0003180959,0.000018989977,0.000016717193,0.00033634558,0.00011434532,0.017685836],"category_scores_gemma":[0.000029222856,0.00009209785,0.00006351386,0.00020147921,0.00014059912,0.00019362463,0.000056610752,0.0002884141,0.00023151957],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021105353,0.0001707328,0.9819036,0.0000022868956,0.000028257446,0.00036696283,0.008539234,0.0008995474,0.000890342,0.0000126616915,0.00018093984,0.0067943693],"study_design_scores_gemma":[0.0011956417,0.00020099757,0.9942246,0.00005055888,0.0000065989434,0.00014938336,0.00052619627,0.00018302689,0.00009884659,0.0020856708,0.0011850093,0.00009347946],"about_ca_topic_score_codex":0.09680375,"about_ca_topic_score_gemma":0.28311342,"teacher_disagreement_score":0.18630967,"about_ca_system_score_codex":0.0006005823,"about_ca_system_score_gemma":0.00004422846,"threshold_uncertainty_score":0.9832121},"labels":[],"label_agreement":null},{"id":"W1978816882","doi":"10.1007/s00484-004-0234-2","title":"Sudden death in epileptic rats exposed to nocturnal magnetic fields that simulate the shape and the intensity of sudden changes in geomagnetic activity: an experiment in response to Schnabel, Beblo and May","year":2004,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Laurentian University","funders":"","keywords":"Earth's magnetic field; Epilepsy; Sudden death; Intensity (physics); Geomagnetic storm; Nocturnal; Medicine; Pilocarpine; Internal medicine; Endocrinology; Magnetic field; Physics; Psychiatry","score_opus":0.06128300343870707,"score_gpt":0.3613766371855231,"score_spread":0.300093633746816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978816882","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":[0.9630372,0.00011181692,0.000007583767,0.03614803,0.000325736,0.00035739664,0.000003889335,0.0000026743703,0.0000056712],"genre_scores_gemma":[0.99531114,0.00020806483,0.00003479612,0.004367453,0.000033801887,0.000016340693,5.50575e-8,0.0000081739345,0.000020164722],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976417,0.000929111,0.00035778555,0.00031102225,0.0004477007,0.00031266987],"domain_scores_gemma":[0.99818605,0.0012995183,0.00015124497,0.00014421654,0.00009458447,0.00012435878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016991016,0.00013703789,0.0003084075,0.001295378,0.000052705982,0.00005976292,0.000719512,0.00007073179,0.00003735202],"category_scores_gemma":[0.0009299626,0.00008814107,0.0000337041,0.00051554624,0.00049991487,0.00018168955,0.00036822818,0.0004498636,0.0000018284394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010933347,0.00016190021,0.0074997516,0.000002566569,0.000004455992,0.0007704731,0.0021920728,0.0003813621,0.97494197,0.000033249613,0.0000035835646,0.003075248],"study_design_scores_gemma":[0.004735817,0.0045233495,0.28154376,0.00004753623,0.000008507348,0.0008779796,0.00026738914,0.0012373538,0.7059708,0.0006199341,0.000047746234,0.00011978664],"about_ca_topic_score_codex":0.000101839316,"about_ca_topic_score_gemma":0.0002962663,"teacher_disagreement_score":0.274044,"about_ca_system_score_codex":0.00006434234,"about_ca_system_score_gemma":0.00009463235,"threshold_uncertainty_score":0.35942885},"labels":[],"label_agreement":null},{"id":"W1978842666","doi":"10.1007/s00484-005-0004-9","title":"Analysis of cedar pollen time series: no evidence of low-dimensional chaotic behavior","year":2005,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pollen; Series (stratigraphy); Chaotic; Computer science; Nondeterministic algorithm; Algorithm; Statistical physics; Artificial intelligence; Physics; Geology; Biology; Ecology","score_opus":0.022117155678893025,"score_gpt":0.25889705822688863,"score_spread":0.2367799025479956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978842666","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":[0.99379516,0.002558347,0.00051760214,0.0014924627,0.00058754097,0.00006786349,0.0002668929,0.000004670189,0.0007094747],"genre_scores_gemma":[0.9969308,0.00015465234,0.0018418684,0.00009143493,0.00023215478,0.0000023032546,0.000012568713,0.000010439273,0.0007237955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976311,0.000039397783,0.0017693747,0.00020461512,0.00019156169,0.00016397609],"domain_scores_gemma":[0.9965878,0.00016204324,0.0021592278,0.00022514508,0.0007902488,0.0000755327],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00078870024,0.00013342232,0.00096457475,0.0025121195,0.000024081144,0.00001734458,0.0005790587,0.00009764722,0.006372944],"category_scores_gemma":[0.00018756468,0.0001325828,0.0006697554,0.00083516655,0.00014389906,0.0003502835,0.00010682934,0.0001059267,0.00015556984],"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":[0.00728965,0.0049661538,0.58152634,0.00030173402,0.08605436,0.00034544716,0.0026125058,0.03592365,0.16278096,0.0902069,0.004765035,0.023227265],"study_design_scores_gemma":[0.008079071,0.009200406,0.7846862,0.0008301559,0.006616328,0.0011329699,0.00037212466,0.09339701,0.011327293,0.006145579,0.075972445,0.0022404296],"about_ca_topic_score_codex":0.00019955203,"about_ca_topic_score_gemma":0.000038815782,"teacher_disagreement_score":0.20315985,"about_ca_system_score_codex":0.0001045695,"about_ca_system_score_gemma":0.000048779053,"threshold_uncertainty_score":0.9945354},"labels":[],"label_agreement":null},{"id":"W1981509454","doi":"10.1007/s00484-014-0907-4","title":"Plant-water relationships in the Great Basin Desert of North America derived from Pinus monophylla hourly dendrometer records","year":2014,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Desert (philosophy); Structural basin; Environmental science; Physical geography; Geography; Forestry; Hydrology (agriculture); Geology; Paleontology","score_opus":0.026293666041018324,"score_gpt":0.23769230315781387,"score_spread":0.21139863711679555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981509454","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":[0.99672693,0.00010900324,0.00047645028,0.0014562282,0.0007014284,0.00005031251,0.0002431758,0.0000056462463,0.00023084629],"genre_scores_gemma":[0.99700916,0.00007877669,0.0023060911,0.00027996738,0.00016943061,6.131866e-7,0.0001386658,0.0000044865483,0.0000128091415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979268,0.00074243953,0.0005706019,0.00014445731,0.00040908623,0.0002066179],"domain_scores_gemma":[0.99753976,0.0017617865,0.00035197422,0.00014520397,0.00013970649,0.000061576946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007101742,0.00012286092,0.0002758042,0.00071455416,0.00004357189,0.00004091747,0.00074581,0.0000737963,0.00058198324],"category_scores_gemma":[0.0003160426,0.00007359092,0.00010741494,0.00021619053,0.00015150577,0.00019912756,0.000023455299,0.00027226534,0.000083518404],"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":[0.00069540745,0.00003182571,0.96212333,0.0000021282804,0.00011174131,0.00011446537,0.00046861116,0.0005172835,0.00074308156,0.000003845089,0.000095942174,0.035092328],"study_design_scores_gemma":[0.0004901638,0.0004562815,0.99357617,0.000018332565,0.000023629942,0.0003197317,0.0000573942,0.00062263623,0.0005408273,0.00060528965,0.0032073194,0.00008219761],"about_ca_topic_score_codex":0.0022871532,"about_ca_topic_score_gemma":0.0065034386,"teacher_disagreement_score":0.03501013,"about_ca_system_score_codex":0.000013689022,"about_ca_system_score_gemma":0.000036737732,"threshold_uncertainty_score":0.6372309},"labels":[],"label_agreement":null},{"id":"W1983661972","doi":"10.1007/s00484-007-0134-3","title":"A second generation climate index for tourism (CIT): specification and verification","year":2007,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":350,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Environmental science; Meteorology; Atmosphere (unit); Thermal comfort; Index (typography); Energy balance; Tourism; Climate change; ASHRAE 90.1; Environmental resource management; Climatology; Atmospheric sciences; Geography; Computer science","score_opus":0.015336193623308849,"score_gpt":0.26707417665396327,"score_spread":0.2517379830306544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983661972","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":[0.93902165,0.000062132975,0.058412123,0.00083852484,0.0008600229,0.00012790503,0.000015164961,0.000006403863,0.000656055],"genre_scores_gemma":[0.9933738,0.0000661056,0.005596883,0.0002633316,0.0005792188,0.0000043931636,0.00003089769,0.00000792052,0.000077437544],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990384,0.000028832013,0.00042395762,0.00014104485,0.00022708802,0.00014069618],"domain_scores_gemma":[0.9993205,0.00009356676,0.00034685933,0.000071681636,0.00010630243,0.000061065744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090499653,0.00007318175,0.00010032396,0.00022812704,0.000047961355,0.000030050478,0.00016035707,0.00008896805,0.00039512067],"category_scores_gemma":[0.00006157085,0.00006829795,0.000044492066,0.00009731418,0.00008701918,0.0002869894,0.000033686665,0.000075095486,0.000017424074],"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":[0.000495092,0.00010437765,0.056479145,0.000005141472,0.00007001783,0.000015527205,0.0003967954,0.000070391376,0.8259076,0.0014835332,0.0048702555,0.11010213],"study_design_scores_gemma":[0.0017963564,0.00046796334,0.8812816,0.000007979461,0.000029786475,0.00038605326,0.00007100017,0.002492912,0.045628324,0.0030220603,0.06464671,0.00016922825],"about_ca_topic_score_codex":0.000008216805,"about_ca_topic_score_gemma":0.000090514724,"teacher_disagreement_score":0.82480246,"about_ca_system_score_codex":0.00014797146,"about_ca_system_score_gemma":0.0000100281795,"threshold_uncertainty_score":0.4326294},"labels":[],"label_agreement":null},{"id":"W1986714929","doi":"10.1007/s00484-012-0590-2","title":"A general and flexible methodology to define thresholds for heat health watch and warning systems, applied to the province of Québec (Canada)","year":2012,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de Santé Publique du Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Homogeneous; Warning system; Geography; Heat wave; Population; Constraint (computer-aided design); Variety (cybernetics); Computer science; Meteorology; Econometrics; Demography; Statistics; Operations research; Environmental science; Environmental health; Climate change; Mathematics; Medicine; Telecommunications","score_opus":0.07778327696932441,"score_gpt":0.3537721273657347,"score_spread":0.2759888503964103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986714929","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":[0.914103,0.0011544048,0.007472724,0.076247714,0.0005925945,0.00031720215,0.00003624465,0.0000026889213,0.00007344497],"genre_scores_gemma":[0.98485905,0.00010637478,0.0080365725,0.0066395383,0.00028114967,0.000014220162,0.0000026179202,0.0000077510695,0.00005271683],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998918,0.000092018796,0.0003768219,0.00010413129,0.0002289194,0.00028011992],"domain_scores_gemma":[0.9991064,0.0003248492,0.00020358563,0.00006728347,0.00004179345,0.00025610975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015784373,0.00007949398,0.00025314378,0.00009627682,0.000065481494,0.000010306787,0.00019111559,0.000039563434,0.00003410784],"category_scores_gemma":[0.00011766564,0.000053860167,0.000018865547,0.000084751286,0.00006201809,0.000061700615,0.00014720943,0.00007658176,0.0000017317888],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004716492,0.00037169858,0.39328542,0.00034161741,0.00044554748,0.000024749676,0.011422878,0.0069756582,0.19763304,0.007375328,0.1777999,0.19960767],"study_design_scores_gemma":[0.0027868415,0.004195852,0.34053305,0.00011846779,0.00007170077,0.0020870026,0.0011292428,0.0008326153,0.0067747217,0.0006516154,0.6404073,0.00041155997],"about_ca_topic_score_codex":0.08934689,"about_ca_topic_score_gemma":0.13951351,"teacher_disagreement_score":0.4626074,"about_ca_system_score_codex":0.000251511,"about_ca_system_score_gemma":0.00014110374,"threshold_uncertainty_score":0.91671723},"labels":[],"label_agreement":null},{"id":"W1993218241","doi":"10.1007/s00484-013-0673-8","title":"Effect of change in ambient temperature on core temperature during the daytime","year":2013,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Daytime; Core temperature; Environmental science; Core (optical fiber); Atmospheric sciences; Materials science; Medicine; Physics; Composite material","score_opus":0.023378657480145608,"score_gpt":0.3297897524616557,"score_spread":0.3064110949815101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993218241","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":[0.99563575,0.00016527495,1.7250387e-7,0.0035159297,0.00041218565,0.00021455233,0.000008558031,0.000004246527,0.000043315493],"genre_scores_gemma":[0.99830306,0.000044504268,0.0000175828,0.0011462788,0.00033527912,0.000010918942,0.000006208381,0.0000066404045,0.00012950416],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99899983,0.00018246287,0.00032070625,0.00009096518,0.0002961787,0.000109876826],"domain_scores_gemma":[0.9989569,0.00041257485,0.00022203702,0.00010399326,0.0002490788,0.00005540442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032485585,0.00010016974,0.0002728938,0.00036198416,0.000017016373,0.000010626522,0.00020972727,0.00012256243,0.0006458848],"category_scores_gemma":[0.000282175,0.000049114424,0.00012857567,0.00017900906,0.00010035563,0.000058236124,0.000034205008,0.00031227825,0.00001767196],"study_design_candidate":"bench_or_experimental","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":[0.006759297,0.00010872995,0.008388859,0.00001479104,0.000109816676,0.00007798343,0.00016701868,0.00001416982,0.97742987,0.0001061348,0.00017193702,0.0066514113],"study_design_scores_gemma":[0.0017007543,0.0023104427,0.9344819,0.00010366195,0.000013776649,0.00030450043,0.000014881484,0.000027044402,0.060634155,0.00007356228,0.00029485105,0.00004043262],"about_ca_topic_score_codex":0.00001626031,"about_ca_topic_score_gemma":0.0000015017018,"teacher_disagreement_score":0.9260931,"about_ca_system_score_codex":0.00005407201,"about_ca_system_score_gemma":0.000022331596,"threshold_uncertainty_score":0.7071985},"labels":[],"label_agreement":null},{"id":"W1994855590","doi":"10.1007/s00484-006-0070-7","title":"Leaf wetness duration measurement: comparison of cylindrical and flat plate sensors under different field conditons","year":2006,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Universidade de São Paulo; University of Michigan","keywords":"Duration (music); Field (mathematics); Environmental science; Mathematics; Acoustics; Physics","score_opus":0.04125841020745074,"score_gpt":0.2652437082810281,"score_spread":0.22398529807357737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994855590","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":[0.9903204,0.00038335248,0.00021209907,0.0081104385,0.00076363934,0.000056875488,0.000008882486,0.000005198468,0.00013914843],"genre_scores_gemma":[0.99932086,0.00003138355,0.00005614379,0.00015426063,0.0004028979,0.0000011932763,0.000008574537,8.832408e-7,0.000023827797],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99852145,0.000095244024,0.0005775925,0.000117089396,0.00055881834,0.00012978865],"domain_scores_gemma":[0.99889314,0.00013972986,0.00040717932,0.000026772452,0.00048362924,0.000049542312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003134379,0.000100709534,0.00024614946,0.00006494468,0.00005103243,0.0000317627,0.00020064464,0.0000997852,0.0001432445],"category_scores_gemma":[0.000057528163,0.000040200197,0.00009079939,0.000080335216,0.0000782279,0.00008522877,0.000046779074,0.00012888055,0.0000022844383],"study_design_candidate":"bench_or_experimental","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":[0.00043385715,0.00023263424,0.050965637,0.0000057006387,0.00015921937,0.000009633186,0.000068532354,0.00008243608,0.9295929,0.000704852,0.0008199288,0.016924646],"study_design_scores_gemma":[0.0015252571,0.0024175446,0.63193375,0.00006989116,0.0000920513,0.00018031578,0.00038884382,0.0007173355,0.35121483,0.0034053633,0.0077974084,0.00025743557],"about_ca_topic_score_codex":0.00013661958,"about_ca_topic_score_gemma":0.00027449132,"teacher_disagreement_score":0.5809681,"about_ca_system_score_codex":0.00005100502,"about_ca_system_score_gemma":0.000009818949,"threshold_uncertainty_score":0.16393165},"labels":[],"label_agreement":null},{"id":"W1997798311","doi":"10.1007/s00484-011-0449-y","title":"Climate change and future temperature-related mortality in 15 Canadian cities","year":2011,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"Health Canada","keywords":"Climate change; Percentile; Distributed lag; Mean radiant temperature; Demography; Global warming; Geography; Mortality rate; Environmental science; Climatology; Ecology; Biology; Economics; Mathematics; Econometrics; Statistics","score_opus":0.06370364377557244,"score_gpt":0.30198957991736647,"score_spread":0.23828593614179402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997798311","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":[0.9907127,0.00035551772,1.6597825e-7,0.0045037447,0.0011608975,0.000065367676,0.000041043226,0.000003580529,0.0031569966],"genre_scores_gemma":[0.9956632,0.0018145093,0.00010595067,0.0021068351,0.0002853786,0.000002731967,0.0000061297037,0.000006218386,0.00000899855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907374,0.00005214979,0.0003240996,0.00010540273,0.00017555854,0.00026905112],"domain_scores_gemma":[0.9994957,0.000019215715,0.00017234354,0.000060254075,0.000032509965,0.00021996406],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004398106,0.000085707914,0.00015416474,0.00037883324,0.000034589848,0.000014496917,0.00020789506,0.0001283458,0.0024214103],"category_scores_gemma":[0.000017056878,0.000071841576,0.00003210054,0.00015402302,0.000121956735,0.00025604948,0.000063912965,0.00018476973,0.000032434178],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095565476,0.00005087475,0.9767137,0.0000056977465,0.000030867504,0.00047834223,0.0049025724,5.3122716e-7,0.0010902367,0.00059053564,0.0005017615,0.015539271],"study_design_scores_gemma":[0.00042264457,0.00016282729,0.9945582,0.000018719933,0.000007833963,0.00034589323,0.00028458278,0.000012099794,0.00010275847,0.0017258895,0.002288263,0.0000702704],"about_ca_topic_score_codex":0.020182794,"about_ca_topic_score_gemma":0.07864316,"teacher_disagreement_score":0.058460362,"about_ca_system_score_codex":0.00016811224,"about_ca_system_score_gemma":0.00002062574,"threshold_uncertainty_score":0.9984905},"labels":[],"label_agreement":null},{"id":"W2002622095","doi":"10.1007/s00484-009-0293-5","title":"Changing climate in Hungary and trends in the annual number of heat stress days","year":2010,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"European Commission","keywords":"Heat stress; Environmental science; Extreme heat; Climate change; Geography; Climatology; Physical geography; Atmospheric sciences; Geology; Oceanography","score_opus":0.007775690453812269,"score_gpt":0.26132170880675887,"score_spread":0.2535460183529466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002622095","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":[0.99714226,0.000056052988,4.7463374e-7,0.0021093686,0.00024901016,0.000030407247,0.000069031135,0.000001393604,0.0003420339],"genre_scores_gemma":[0.99953073,0.000053086496,0.000098012155,0.00014671497,0.00015141575,0.000001668156,0.0000116219235,5.9916704e-7,0.000006178118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918824,0.00009635391,0.00026531628,0.00008891485,0.00019978877,0.00016139996],"domain_scores_gemma":[0.9994994,0.00028276947,0.00013487102,0.000024733017,0.000030181574,0.000028059823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055269944,0.000068234396,0.00013756927,0.00013862952,0.00002053245,0.000013521852,0.0003641058,0.00007038903,0.00019563045],"category_scores_gemma":[0.000027527203,0.000026224996,0.000047475707,0.00021430803,0.00012285564,0.00014563554,0.000100648154,0.00021456451,0.0000014673615],"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":[0.00018877405,0.0002944854,0.6589795,0.000002660683,0.000027186856,0.00009443884,0.00055039726,0.000015562733,0.2405338,0.00052040623,0.000028499844,0.098764285],"study_design_scores_gemma":[0.00031781287,0.0002641765,0.9962445,0.000016310889,0.0000039431866,0.00023773019,0.00055797916,0.000019805631,0.0017242096,0.00026416016,0.0003011314,0.000048243233],"about_ca_topic_score_codex":0.000090503236,"about_ca_topic_score_gemma":0.0005505419,"teacher_disagreement_score":0.33726498,"about_ca_system_score_codex":0.000010818994,"about_ca_system_score_gemma":0.0000013696662,"threshold_uncertainty_score":0.21420161},"labels":[],"label_agreement":null},{"id":"W2003073193","doi":"10.1007/s00484-012-0562-6","title":"Effects of summer microclimates on behavior of lions and tigers in zoos","year":2012,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Microclimate; Panthera; Environmental science; Geography; Relative humidity; Ecology; Habitat; Temperate climate; Predation; Biology; Meteorology","score_opus":0.010122909630556742,"score_gpt":0.2506744419806657,"score_spread":0.24055153235010895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003073193","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":[0.99872667,0.00057036744,7.4714717e-7,0.00032812616,0.0002375246,0.000074016214,0.000016162168,0.0000012765909,0.000045100427],"genre_scores_gemma":[0.99953264,0.00014964861,0.00015865991,0.00007059712,0.000075548654,0.0000028283202,0.0000032889593,6.9637656e-7,0.000006070391],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99932605,0.00006785363,0.00026679708,0.00006123188,0.00016287649,0.00011519264],"domain_scores_gemma":[0.99907506,0.0005398472,0.00028031794,0.000016002914,0.000035839803,0.000052932108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017401215,0.000066888904,0.0001708193,0.00009908724,0.00000967355,0.0000034806758,0.00018188244,0.000063304244,0.00006689936],"category_scores_gemma":[0.000059082984,0.000029489338,0.00006193853,0.00008584608,0.00012866032,0.00010070338,0.000049877402,0.000079328376,0.0000026166804],"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":[0.00008887456,0.000337508,0.30257943,0.000003947693,0.00002414789,0.0000060536845,0.000033985136,9.860021e-7,0.68805027,0.00005938024,0.0000161861,0.008799209],"study_design_scores_gemma":[0.00026128266,0.0007705749,0.78129,0.000032186905,0.000014132076,0.000027982851,0.00002817226,6.413577e-7,0.21734238,0.000046564368,0.00015063502,0.000035449113],"about_ca_topic_score_codex":0.00005439887,"about_ca_topic_score_gemma":0.000011843766,"teacher_disagreement_score":0.4787106,"about_ca_system_score_codex":0.0000197547,"about_ca_system_score_gemma":0.0000018771232,"threshold_uncertainty_score":0.12025403},"labels":[],"label_agreement":null},{"id":"W2004743868","doi":"10.1007/s00484-012-0620-0","title":"Predicting spatial patterns of eagle migration using a mesoscale atmospheric model: a case study associated with a mountain-ridge wind development","year":2013,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate variability and models","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia; Environment and Climate Change Canada","funders":"","keywords":"Mesoscale meteorology; Ridge; Eagle; Wind speed; Wind direction; Geology; Meteorology; Atmospheric model; Spatial ecology; Global wind patterns; Weather Research and Forecasting Model; Climatology; Atmospheric sciences; Environmental science; Geography","score_opus":0.02113771939114575,"score_gpt":0.2612935988506302,"score_spread":0.24015587945948444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004743868","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":[0.9665657,0.0000040447817,0.032910008,0.0000847467,0.00015901563,0.00023333551,0.000014760206,0.000007114685,0.000021251364],"genre_scores_gemma":[0.99359006,0.0000015227565,0.006282837,0.000057215322,0.000033035045,0.0000041766934,0.000005100327,0.000011057344,0.000015003006],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838704,0.000120217825,0.0006379467,0.00017355551,0.00050732,0.0001739058],"domain_scores_gemma":[0.9988828,0.00011179602,0.0006511347,0.00009099206,0.00018921249,0.00007411626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054369646,0.00012418092,0.00023257769,0.00006720569,0.000059395334,0.000026943493,0.00023725072,0.000072795505,0.0004369614],"category_scores_gemma":[0.00007384568,0.00009972036,0.000053227326,0.00013976933,0.000077243676,0.00031766252,0.00014273053,0.00012893189,0.0000037006625],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011491687,0.00076098915,0.8748205,0.0000032293387,0.00029299175,0.00024252258,0.0039521297,0.104864046,0.0125262765,0.0000012299535,0.000007906091,0.0024132675],"study_design_scores_gemma":[0.001984901,0.0009905173,0.11134835,0.000045736095,0.00009531135,0.0012145789,0.0017709186,0.8813003,0.00094123767,0.00012559637,0.0000125486185,0.00017001976],"about_ca_topic_score_codex":0.011203367,"about_ca_topic_score_gemma":0.0071719615,"teacher_disagreement_score":0.7764362,"about_ca_system_score_codex":0.00037619448,"about_ca_system_score_gemma":0.00006573707,"threshold_uncertainty_score":0.9953811},"labels":[],"label_agreement":null},{"id":"W2005781104","doi":"10.1007/s00484-005-0277-z","title":"Meteorology and the physical activity of the elderly: the Nakanojo Study","year":2005,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Physical Activity and Health","field":"Medicine","cited_by":175,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pedometer; Sunrise; Physical activity; Sunset; Relative humidity; Precipitation; Animal science; Wind speed; Environmental science; Sunshine duration; Meteorology; Atmospheric sciences; Medicine; Geography; Biology; Physical therapy","score_opus":0.027351301564004542,"score_gpt":0.35242039990738944,"score_spread":0.3250690983433849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005781104","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":[0.9059487,0.000115102004,0.000071329276,0.09305509,0.00036395155,0.00021660226,0.0000046544847,0.0000030259318,0.00022152335],"genre_scores_gemma":[0.99791664,0.00005087598,0.000042397714,0.0010836642,0.00085119565,0.0000048336888,2.1001998e-7,0.0000059182994,0.000044282846],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985548,0.00047531407,0.00027787613,0.00010818455,0.00044344916,0.0001403617],"domain_scores_gemma":[0.9979713,0.0010536588,0.0004608571,0.00019073102,0.00027091848,0.000052558462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008111939,0.000097585835,0.0004283037,0.00009192977,0.00008082391,0.000010483447,0.0004394995,0.000053245632,0.00002347808],"category_scores_gemma":[0.00025740804,0.000038784838,0.00020856527,0.00016259219,0.0007727005,0.00009785074,0.00015371935,0.0005126734,0.0000030705382],"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":[0.029136676,0.019994302,0.03237645,0.00004702022,0.0068312204,0.00008925645,0.011193119,0.00010130882,0.13106927,0.03664443,0.0018054207,0.7307115],"study_design_scores_gemma":[0.026748236,0.015334636,0.8853075,0.00006303985,0.0013816607,0.003123501,0.0010126944,0.0027583023,0.024043966,0.022084547,0.017905438,0.0002365048],"about_ca_topic_score_codex":0.00005829261,"about_ca_topic_score_gemma":0.000041383933,"teacher_disagreement_score":0.852931,"about_ca_system_score_codex":0.000045263332,"about_ca_system_score_gemma":0.00011736292,"threshold_uncertainty_score":0.28470472},"labels":[],"label_agreement":null},{"id":"W2016440098","doi":"10.1007/s004840000057","title":"Non-random mating in classical lekking grouse species: seasonal and diurnal trends","year":2000,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"College of Family Physicians of Canada; Toronto Zoo; University of Toronto; University of Waterloo","funders":"","keywords":"Lek mating; Grouse; Fertility; Mating; Biology; Ecology; Zoology; Demography; Geography; Mate choice; Population; Habitat","score_opus":0.017557823403527063,"score_gpt":0.25423095887614633,"score_spread":0.23667313547261926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016440098","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":[0.99380356,0.00011517042,0.000009466843,0.004899633,0.00045491933,0.000023081613,0.000008084729,0.0000061142014,0.00067997177],"genre_scores_gemma":[0.9978562,0.00014291733,0.00014726273,0.00013615981,0.0012366947,0.0000010672184,0.0000071439276,9.566987e-7,0.000471583],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99895936,0.000058372985,0.00038607643,0.0001584687,0.0002792554,0.00015845531],"domain_scores_gemma":[0.99954295,0.0001043597,0.00016658465,0.000019346251,0.000097701464,0.000069065485],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003849819,0.00009308859,0.0001946196,0.000112424066,0.00005132046,0.000051847415,0.00021607087,0.00008690012,0.001607467],"category_scores_gemma":[0.00002743694,0.000039050436,0.000098199416,0.00022184676,0.00010801369,0.00019332662,0.00003282963,0.00021509596,0.000006960551],"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":[0.00075597805,0.0001631324,0.13990112,0.0000011237842,0.000040403454,0.00013789933,0.00013039929,0.00001382541,0.28561822,0.000058707803,0.00029699676,0.57288224],"study_design_scores_gemma":[0.0008140485,0.00047460903,0.9850294,0.00002214808,0.000013032352,0.0010797819,0.00010545988,0.000141941,0.0006895173,0.0002038899,0.011334726,0.000091443035],"about_ca_topic_score_codex":0.00003706179,"about_ca_topic_score_gemma":0.000056515622,"teacher_disagreement_score":0.8451283,"about_ca_system_score_codex":0.000042494936,"about_ca_system_score_gemma":0.0000073652004,"threshold_uncertainty_score":0.9993052},"labels":[],"label_agreement":null},{"id":"W2017374269","doi":"10.1007/s00484-013-0678-3","title":"Unwanted spatial bias in predicting establishment of an invasive insect based on simulated demographics","year":2013,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Phenology; Population; Demographics; Statistics; Geography; Climate change; Demography; Mathematics; Ecology; Biology","score_opus":0.017154124879514347,"score_gpt":0.2501562345163204,"score_spread":0.23300210963680607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017374269","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":[0.99776495,0.000006359787,0.0004421545,0.00049510645,0.0006383966,0.00016390922,0.0000066993243,0.0000070416036,0.00047539794],"genre_scores_gemma":[0.9984213,0.0000134802285,0.0007142174,0.0007768668,0.000043563487,0.000004170793,0.0000122687015,0.0000075691546,0.0000065373333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847484,0.0002046209,0.000573894,0.00015674211,0.00041006037,0.00017985977],"domain_scores_gemma":[0.9988384,0.0003636209,0.0005111691,0.000115092545,0.00009976392,0.00007190739],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00063940726,0.00010948492,0.00019851027,0.00081170496,0.0000248668,0.000016365599,0.000483622,0.00011365194,0.0015473523],"category_scores_gemma":[0.00034580004,0.000093741335,0.0000751541,0.00038354707,0.00021238334,0.00027773407,0.0001091874,0.00021041445,0.000023373532],"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":[0.00062981516,0.0008662045,0.84334314,0.0000057349184,0.00013395908,0.00017169167,0.00023546499,0.12677337,0.018047167,0.000063191284,0.00019285866,0.009537367],"study_design_scores_gemma":[0.0018355462,0.0021158757,0.9466768,0.000032770513,0.000016340158,0.000036093883,0.000059232767,0.04471418,0.0031057172,0.0011707572,0.00014324136,0.000093476854],"about_ca_topic_score_codex":0.00097234396,"about_ca_topic_score_gemma":0.0015525414,"teacher_disagreement_score":0.1033336,"about_ca_system_score_codex":0.00014320348,"about_ca_system_score_gemma":0.000035801917,"threshold_uncertainty_score":0.9993654},"labels":[],"label_agreement":null},{"id":"W2017417471","doi":"10.1007/s00484-010-0301-9","title":"Review of the physiology of human thermal comfort while exercising in urban landscapes and implications for bioclimatic design","year":2010,"lang":"en","type":"review","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":204,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Thermal comfort; Human physiology; Clothing; Human health; Architectural engineering; Human body; Heat stress; Psychology; Engineering; Environmental health; Geography; Medicine; Biology; Meteorology","score_opus":0.11710028653385422,"score_gpt":0.4042664811462535,"score_spread":0.2871661946123993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017417471","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071036573,0.9911236,0.00006121777,0.0006874417,0.0002976992,0.00056807295,0.00010348106,0.0000014119723,0.00005337915],"genre_scores_gemma":[0.003997868,0.99496526,0.0006038249,0.00028405726,0.00009141051,0.000022560245,0.000020253196,0.000011628177,0.0000031688944],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984501,0.00015799586,0.000992924,0.00012084263,0.00012707153,0.00015108452],"domain_scores_gemma":[0.99761283,0.00048887247,0.0016315021,0.0001560563,0.00006454872,0.000046179106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091224327,0.00013161368,0.0008813414,0.00023743357,0.000032961496,0.0000046622063,0.00056368124,0.00015943316,0.0001526919],"category_scores_gemma":[0.00013680209,0.000081080776,0.00021060098,0.00019303452,0.00019444308,0.00005940078,0.00014584107,0.00021736448,0.0000012589054],"study_design_candidate":"design_other","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":[0.000058482314,0.00028314508,0.0028276297,0.01780479,0.00012743264,0.0000017244587,0.00036138532,0.0000047184712,0.014902435,0.00014141595,0.0029895364,0.9604973],"study_design_scores_gemma":[0.002476182,0.0019250311,0.06947068,0.13069242,0.001671146,0.0010785917,0.000038539478,0.00006190626,0.00046439326,0.0075587244,0.78382015,0.0007422208],"about_ca_topic_score_codex":0.000018970444,"about_ca_topic_score_gemma":0.000027068278,"teacher_disagreement_score":0.95975506,"about_ca_system_score_codex":0.0000698084,"about_ca_system_score_gemma":0.000055169137,"threshold_uncertainty_score":0.33063778},"labels":[],"label_agreement":null},{"id":"W2017504708","doi":"10.1007/s00484-004-0226-2","title":"Prevalence of weather sensitivity in Germany and Canada","year":2004,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Cold weather; Weather patterns; Epidemiology; Population; Demography; Geography; Population health; Meteorology; Climatology; Environmental science; Environmental health; Medicine; Climate change","score_opus":0.015801605903097374,"score_gpt":0.2800495109154265,"score_spread":0.26424790501232914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017504708","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":[0.9958256,0.000083948784,0.00004287108,0.0035673208,0.00022975438,0.000025579377,0.000012595384,6.819743e-7,0.0002116877],"genre_scores_gemma":[0.99887514,0.00022992089,0.0002436274,0.00059720135,0.000037693757,2.462973e-7,2.49232e-7,0.0000023030482,0.00001361338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993863,0.000026181511,0.00022328619,0.000058810005,0.00020540043,0.00010002665],"domain_scores_gemma":[0.9996519,0.000054931388,0.00017593139,0.000035350597,0.000024652798,0.000057218687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030716247,0.000041559695,0.00009790914,0.00009160211,0.0000076353235,0.0000026459081,0.000091424954,0.000029037072,0.00023876592],"category_scores_gemma":[0.00004256616,0.0000354816,0.000014567219,0.000051741823,0.00008174615,0.000085339576,0.00005511759,0.000069359856,0.0000025685251],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015160581,0.0001023992,0.92744625,0.000021593478,0.000020120962,0.00046638065,0.00058639765,0.00041799297,0.06421653,0.00009046354,0.00026962548,0.0062106284],"study_design_scores_gemma":[0.0005311773,0.00011429221,0.9956766,0.00003169209,0.0000040134255,0.00045931528,0.00002639707,0.000021531941,0.001961256,0.00079035293,0.00034845044,0.000034964283],"about_ca_topic_score_codex":0.12842105,"about_ca_topic_score_gemma":0.27852002,"teacher_disagreement_score":0.15009895,"about_ca_system_score_codex":0.00021466534,"about_ca_system_score_gemma":0.000056003104,"threshold_uncertainty_score":0.8773829},"labels":[],"label_agreement":null},{"id":"W2020016186","doi":"10.1007/s00484-013-0675-6","title":"Modeling climate effects on hip fracture rate by the multivariate GARCH model in Montreal region, Canada","year":2013,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de Santé Publique du Québec; Université de Sherbrooke; Institut National de la Recherche Scientifique","funders":"","keywords":"Hip fracture; Autoregressive conditional heteroskedasticity; Multivariate statistics; Heteroscedasticity; Autoregressive model; Environmental science; Statistics; Climatology; Demography; Econometrics; Mathematics; Medicine; Geology; Internal medicine","score_opus":0.01162855599924118,"score_gpt":0.26909456327216236,"score_spread":0.2574660072729212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020016186","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":[0.9717107,0.0004285352,0.0005198987,0.026630394,0.00034276175,0.00022963948,0.000017145363,0.0000036308154,0.00011728512],"genre_scores_gemma":[0.9928989,0.00025679206,0.00009261716,0.006499678,0.00015795958,0.000026469492,0.000020543526,0.000011410419,0.000035640336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881524,0.000117652286,0.0003628561,0.00014420465,0.0003454815,0.0002145965],"domain_scores_gemma":[0.99893695,0.00030689864,0.00017372807,0.00011752088,0.0003398116,0.00012506789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018324777,0.00013385624,0.00024843073,0.0002210228,0.000032180684,0.000022518843,0.00021169771,0.00007044019,0.00003835338],"category_scores_gemma":[0.000080971404,0.00007825971,0.000094549905,0.0000765777,0.000026211424,0.00008349576,0.00003482121,0.00024465608,0.000009128463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014968563,0.0064731888,0.20261402,0.00019413493,0.008921378,0.012172315,0.002626293,0.36100972,0.03442819,0.0011321584,0.16006671,0.19539332],"study_design_scores_gemma":[0.014363808,0.0013037439,0.28225276,0.00039592956,0.00035592943,0.0006119052,0.0001436229,0.6893576,0.0060473257,0.0042690905,0.00059338525,0.00030489295],"about_ca_topic_score_codex":0.12027666,"about_ca_topic_score_gemma":0.010759099,"teacher_disagreement_score":0.3283479,"about_ca_system_score_codex":0.0002997655,"about_ca_system_score_gemma":0.00019947853,"threshold_uncertainty_score":0.8855815},"labels":[],"label_agreement":null},{"id":"W2024723847","doi":"10.1007/s00484-005-0259-1","title":"Spatial variability of leaf wetness duration in different crop canopies","year":2005,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Canopy; Leaf wetness; Row crop; Environmental science; Dew; Plant canopy; Crop; Agronomy; Agriculture; Geography; Meteorology; Biology","score_opus":0.006040004405534998,"score_gpt":0.2293953069540358,"score_spread":0.22335530254850078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024723847","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":[0.99183947,0.000010641545,0.0054408326,0.0016201615,0.0004496189,0.000038183167,0.000016167409,0.0000023893763,0.000582518],"genre_scores_gemma":[0.9990388,0.000022887229,0.00071773725,0.00005699539,0.00010651704,0.0000012464392,0.000008118307,0.0000032337832,0.000044449673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892604,0.00008785477,0.00051820255,0.00009128544,0.00028189307,0.00009469479],"domain_scores_gemma":[0.99946535,0.00007356339,0.00031507615,0.000068246205,0.000045603414,0.000032179738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036548648,0.00007051056,0.00015686968,0.00020250503,0.000011708215,0.000009395581,0.00026211917,0.00006648981,0.0005603021],"category_scores_gemma":[0.00005662614,0.00005445819,0.000056869252,0.00009644982,0.00011743603,0.00016260054,0.000074051044,0.00010855815,0.000008955482],"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":[0.00028796995,0.00039759246,0.8639206,0.000003152869,0.0000732712,0.000026663887,0.00041245413,0.019906426,0.08238282,0.00063239504,0.00006257646,0.031894043],"study_design_scores_gemma":[0.0011192716,0.00020941538,0.95252055,0.000015423451,0.000019063396,0.00020834341,0.000014069084,0.03292891,0.007165786,0.0029612686,0.0027194137,0.00011849116],"about_ca_topic_score_codex":0.00027999358,"about_ca_topic_score_gemma":0.00086522644,"teacher_disagreement_score":0.08859991,"about_ca_system_score_codex":0.00021208049,"about_ca_system_score_gemma":0.00001574234,"threshold_uncertainty_score":0.61349154},"labels":[],"label_agreement":null},{"id":"W2026043376","doi":"10.1007/s00484-012-0565-3","title":"Association of global weather changes with acute coronary syndromes: gaining insights from clinical trials data","year":2012,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian VIGOUR Centre; University of Alberta","funders":"National Oceanic and Atmospheric Administration","keywords":"Acute coronary syndrome; Medicine; Clinical trial; Demographics; Internal medicine; Medical emergency; Cardiology; Myocardial infarction; Demography","score_opus":0.22534415882159683,"score_gpt":0.4550303460773404,"score_spread":0.22968618725574355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026043376","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":[0.9903943,0.00045563097,0.00029254702,0.0063262135,0.0017324628,0.00008421381,0.00039220692,0.0000054958396,0.000316922],"genre_scores_gemma":[0.9955899,0.00074596266,0.0017375937,0.0010738764,0.0007377631,0.0000012841283,0.00007615417,0.000007922161,0.000029552924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977362,0.00050928677,0.00077628647,0.00015039872,0.0005959087,0.00023189068],"domain_scores_gemma":[0.9967757,0.0009945827,0.001778407,0.00018481558,0.00007920403,0.00018729862],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032520564,0.000108060696,0.00049890956,0.00008448878,0.00002599237,0.000014171356,0.0006378887,0.00016069449,0.0012754735],"category_scores_gemma":[0.0006870243,0.00007493084,0.00007284241,0.00014698021,0.000105290586,0.00044706982,0.0002855579,0.00015897237,0.000058336685],"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":[0.00084820396,0.00025941952,0.9678442,0.0000019854344,0.0009798099,0.00007682015,0.0003652883,0.00000357383,0.0023483124,0.000035432935,0.007161827,0.020075165],"study_design_scores_gemma":[0.0020894133,0.0010044418,0.9827796,0.00005788113,0.00030894807,0.00039354345,0.00016595388,0.00007930337,0.00016149762,0.0006080921,0.012236312,0.000115003204],"about_ca_topic_score_codex":0.00010582818,"about_ca_topic_score_gemma":0.00022208029,"teacher_disagreement_score":0.019960161,"about_ca_system_score_codex":0.00030654747,"about_ca_system_score_gemma":0.0000401872,"threshold_uncertainty_score":0.9996375},"labels":[],"label_agreement":null},{"id":"W2029923114","doi":"10.1007/s00484-002-0138-y","title":"Bioclimatic indices as a tool in pollen forecasting","year":2002,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Allergic Rhinitis and Sensitization","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Comisión Interministerial de Ciencia y Tecnología","keywords":"Pollen; Evapotranspiration; Environmental science; Precipitation; Climatology; Mediterranean climate; Physical geography; Atmospheric sciences; Meteorology; Geography; Ecology; Biology; Geology","score_opus":0.03878866810295123,"score_gpt":0.2909161648394906,"score_spread":0.2521274967365394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029923114","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":[0.98890615,0.000401123,0.0002816226,0.006032467,0.0005784275,0.00006121151,0.0000022242561,0.0000056457793,0.0037311085],"genre_scores_gemma":[0.9963505,0.00033907828,0.0016427225,0.0012055725,0.00031606507,9.830871e-7,0.0000053097374,0.000008160156,0.00013160847],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99888235,0.000045100915,0.00053242524,0.0000837305,0.0003304253,0.00012596737],"domain_scores_gemma":[0.99919134,0.000118486925,0.00033624552,0.000053191234,0.0002600101,0.00004069535],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027151173,0.00007417636,0.00022897474,0.000946997,0.00001550151,0.000017386594,0.000119873504,0.00008069677,0.0009742822],"category_scores_gemma":[0.00037502055,0.000060661096,0.00008237888,0.0002064159,0.00004875627,0.00011937589,0.000025810903,0.00015291428,0.000043234853],"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":[0.0033179324,0.0024664858,0.34637567,0.00011834213,0.0025623203,0.026545538,0.009965076,0.00034999757,0.06251983,0.009760507,0.008225455,0.5277928],"study_design_scores_gemma":[0.05297767,0.013529345,0.4539899,0.0027306196,0.00061189855,0.19961257,0.0037058042,0.16686529,0.009506169,0.050877403,0.043980625,0.0016127184],"about_ca_topic_score_codex":0.00001605037,"about_ca_topic_score_gemma":0.0000062560293,"teacher_disagreement_score":0.5261801,"about_ca_system_score_codex":0.00007599347,"about_ca_system_score_gemma":0.000031025545,"threshold_uncertainty_score":0.99993896},"labels":[],"label_agreement":null},{"id":"W2035335487","doi":"10.1007/s00484-002-0144-0","title":"Seasonal programming of adult longevity in Ukraine","year":2002,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Longevity; Demography; Quarter (Canadian coin); Season of birth; Cause of death; Population; Ageing; Mortality rate; Birth rate; Gerontology; Medicine; Fertility; Geography; Disease; Internal medicine","score_opus":0.021953438581151175,"score_gpt":0.3158161824846912,"score_spread":0.29386274390354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035335487","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":[0.9881683,0.0005290686,0.0003139151,0.004756827,0.0014574156,0.0001278215,0.000010595569,0.000010260711,0.004625808],"genre_scores_gemma":[0.9966187,0.0007965415,0.0018370439,0.00027756553,0.0003895719,0.0000037427772,0.000001755296,0.000006431188,0.00006865426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787223,0.0002642306,0.0006205236,0.00013350317,0.0008541006,0.0002554166],"domain_scores_gemma":[0.99830484,0.00014323181,0.0005788977,0.000087922475,0.000806059,0.00007905725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012450182,0.00009358238,0.00025532406,0.0008846489,0.000045767738,0.000030972606,0.00065980986,0.00009736352,0.0004975867],"category_scores_gemma":[0.0003792372,0.000089308516,0.00017997598,0.00053619593,0.00044278073,0.00023973118,0.00006344068,0.00019509351,0.000011165685],"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":[0.0002100882,0.0009752117,0.64290094,0.000019715655,0.0004865356,0.00037148804,0.004826766,0.0000538378,0.0004419077,0.025523715,0.0012822831,0.3229075],"study_design_scores_gemma":[0.005219489,0.0010759872,0.8026644,0.00020702621,0.00012272527,0.0001654428,0.0031742044,0.00094058795,0.0004718563,0.00861005,0.1768005,0.00054771354],"about_ca_topic_score_codex":0.00059836765,"about_ca_topic_score_gemma":0.0011510436,"teacher_disagreement_score":0.3223598,"about_ca_system_score_codex":0.000116596726,"about_ca_system_score_gemma":0.000042956897,"threshold_uncertainty_score":0.5448225},"labels":[],"label_agreement":null},{"id":"W2036761849","doi":"10.1007/s00484-014-0855-z","title":"Comments on “Modified wind chill temperatures determined by a whole body thermoregulation model and human-based convective coefficients” by Ben Shabat, Shitzer and Fiala (2013) and “Facial convective heat exchange coefficients in cold and windy environments estimated from human experiments” by Ben Shabat and Shitzer (2012)","year":2014,"lang":"en","type":"letter","venue":"International Journal of Biometeorology","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Regional Municipality of Durham","funders":"","keywords":"Convection; Convective heat transfer; Heat transfer; Heat transfer coefficient; Mechanics; Thermodynamics; Physics; Meteorology","score_opus":0.023891171453548046,"score_gpt":0.303952876072058,"score_spread":0.28006170461851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036761849","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":[0.9842548,0.0011322043,0.00015188141,0.012119111,0.00015376532,0.0007247567,0.0014362903,0.000013199099,0.000014017794],"genre_scores_gemma":[0.9648831,0.00008616907,0.000037223614,0.03275595,0.00019433476,0.000025181631,0.0017627352,0.000054071355,0.00020123432],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970821,0.00045096697,0.0007381304,0.0007356263,0.0006276754,0.00036550363],"domain_scores_gemma":[0.9983583,0.0005406272,0.00055700657,0.00017816348,0.00013008899,0.00023578227],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003197667,0.0005662197,0.00095662684,0.0005836239,0.00017622989,0.00012101596,0.00020596341,0.0007034436,0.00011792606],"category_scores_gemma":[0.00006584316,0.00047017675,0.000073931275,0.000080726975,0.00081048894,0.00017851673,0.00014862478,0.0007408642,0.0000010654928],"study_design_candidate":"bench_or_experimental","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":[0.0061554904,0.00066968735,0.006351402,0.000036561396,0.0006502216,0.000087559994,0.0007864262,0.00008329931,0.9451591,0.000011701482,0.039035574,0.00097302237],"study_design_scores_gemma":[0.074817896,0.014342397,0.7789479,0.0016064692,0.0010766569,0.00036554254,0.00021372839,0.03526942,0.051006194,0.00073308405,0.03890879,0.0027119282],"about_ca_topic_score_codex":0.00016879206,"about_ca_topic_score_gemma":0.000009476099,"teacher_disagreement_score":0.8941529,"about_ca_system_score_codex":0.00018268147,"about_ca_system_score_gemma":0.000032895587,"threshold_uncertainty_score":0.999775},"labels":[],"label_agreement":null},{"id":"W2037730550","doi":"10.1007/s00484-001-0119-6","title":"The El Niño Southern Oscillation and malaria epidemics in South America","year":2002,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":163,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Toronto","funders":"","keywords":"Malaria; Geography; El Niño Southern Oscillation; Flooding (psychology); Population; Socioeconomics; Ecology; Environmental protection; Climatology; Environmental health; Biology; Medicine","score_opus":0.013724459170724573,"score_gpt":0.2767947032513878,"score_spread":0.2630702440806632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037730550","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":[0.96724355,0.003363785,0.0007905744,0.02751802,0.0005933284,0.00009186725,0.000018838946,0.0000057247667,0.000374311],"genre_scores_gemma":[0.99731517,0.00046964615,0.00021301094,0.0014050552,0.00043605192,0.00000223342,0.000002746426,0.000008011992,0.00014807009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899566,0.000077074,0.0004286582,0.00010259815,0.0002527529,0.00014323051],"domain_scores_gemma":[0.9990736,0.00019947672,0.00032262635,0.0000886335,0.00023235474,0.000083297324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031874326,0.000079201825,0.00020220564,0.00026816537,0.000031820233,0.000024963689,0.00015620104,0.00006409666,0.00016431083],"category_scores_gemma":[0.00033044565,0.000051897445,0.00009457179,0.00011769806,0.00011676643,0.000051513412,0.000033747252,0.00017307402,0.000020276893],"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":[0.0030592459,0.00033652407,0.6176212,0.000013616872,0.0009728759,0.0005361712,0.0029147181,0.00011797318,0.0076782424,0.0030782383,0.0019844703,0.36168677],"study_design_scores_gemma":[0.013839743,0.0020992805,0.82773805,0.00014089509,0.00040918347,0.0024157711,0.0026880072,0.056947913,0.000084447216,0.007885192,0.085382685,0.00036882496],"about_ca_topic_score_codex":0.00001817707,"about_ca_topic_score_gemma":0.000006997139,"teacher_disagreement_score":0.36131793,"about_ca_system_score_codex":0.00004556296,"about_ca_system_score_gemma":0.000026196805,"threshold_uncertainty_score":0.21163163},"labels":[],"label_agreement":null},{"id":"W2037877427","doi":"10.1007/s00484-008-0196-x","title":"Incorporating diffuse photosynthetically active radiation in a single-leaf model of canopy photosynthesis for a 56-year-old Douglas-fir forest","year":2009,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photosynthetically active radiation; Canopy; Photosynthesis; Environmental science; Shading; Radiation; Remote sensing; Botany; Atmospheric sciences; Biology; Geography; Physics; Optics; Computer science","score_opus":0.01118333740725522,"score_gpt":0.23115579691271634,"score_spread":0.21997245950546113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037877427","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":[0.98729694,0.000009275993,0.010882565,0.0008171571,0.00020518669,0.00014504434,0.000083413106,0.000005137341,0.0005552632],"genre_scores_gemma":[0.9900817,0.000021547163,0.00959638,0.00018737584,0.000057815865,0.0000061517335,0.000013965181,0.0000087368,0.000026305575],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987266,0.000051509152,0.00057640823,0.00015416012,0.00032085148,0.00017044871],"domain_scores_gemma":[0.9990045,0.0001955842,0.00056802126,0.00009338657,0.000076292854,0.00006222485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034198668,0.00011651834,0.00024191955,0.000392174,0.00002387262,0.000019313426,0.00036089725,0.000115677525,0.000040473464],"category_scores_gemma":[0.00016658012,0.00010390714,0.00014151973,0.00018503664,0.00011527792,0.00024318241,0.000046002406,0.00013033362,0.0000028872337],"study_design_candidate":"simulation_or_modeling","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":[0.0017941295,0.0009952341,0.028535498,0.000004739308,0.000145719,0.00002868024,0.0006053889,0.088788725,0.84570205,0.0025604176,0.000044343997,0.030795056],"study_design_scores_gemma":[0.005190455,0.0017362842,0.03709589,0.0000985499,0.00010743495,0.00022923839,0.000102343794,0.84106016,0.059733547,0.053855468,0.00038912348,0.0004015101],"about_ca_topic_score_codex":0.00007096141,"about_ca_topic_score_gemma":0.0001456929,"teacher_disagreement_score":0.78596854,"about_ca_system_score_codex":0.0002984563,"about_ca_system_score_gemma":0.000038178983,"threshold_uncertainty_score":0.42372102},"labels":[],"label_agreement":null},{"id":"W2039670262","doi":"10.1007/s00484-006-0078-z","title":"Stochastic simulation of daily air temperature and precipitation from monthly normals in North America north of Mexico","year":2007,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate variability and models","field":"Environmental Science","cited_by":121,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Precipitation; Environmental science; Climatology; Standard deviation; Climate change; Mean radiant temperature; Frost (temperature); Meteorology; Statistics; Mathematics; Geography","score_opus":0.00993251318841767,"score_gpt":0.25906057637293406,"score_spread":0.24912806318451639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039670262","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":[0.9920678,0.000044397875,0.0072555584,0.00019921554,0.00019796331,0.00007493649,0.0000947903,0.0000020683387,0.00006325531],"genre_scores_gemma":[0.99822855,0.000016529928,0.0015696622,0.00010645977,0.000037030455,6.991201e-7,0.000034075205,0.0000044111516,0.000002574087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99875957,0.000058211503,0.00062954874,0.00012181451,0.00032464095,0.00010619878],"domain_scores_gemma":[0.998766,0.00046741893,0.00053689827,0.00007339125,0.000107716536,0.000048551825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036098147,0.000079082296,0.00021235217,0.0002825516,0.000012543941,0.0000045431116,0.00019809236,0.00007107135,0.00011249596],"category_scores_gemma":[0.0001701802,0.00007057905,0.00004852031,0.00024600385,0.0001820124,0.00025013692,0.00007224646,0.00011727293,0.0000021825877],"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":[0.00055487244,0.00016170563,0.3088015,0.0000033868687,0.00004879099,0.000007698865,0.0014819619,0.6611173,0.023045987,0.000008705478,0.000008153148,0.004759912],"study_design_scores_gemma":[0.0007237526,0.0003176072,0.97234005,0.000014156222,0.00001817115,0.0000061670894,0.00009963951,0.024920238,0.0008458179,0.00057805935,0.000073153744,0.000063199346],"about_ca_topic_score_codex":0.00043771343,"about_ca_topic_score_gemma":0.0018957522,"teacher_disagreement_score":0.6635385,"about_ca_system_score_codex":0.000078808844,"about_ca_system_score_gemma":0.000015224135,"threshold_uncertainty_score":0.28781304},"labels":[],"label_agreement":null},{"id":"W2047869255","doi":"10.1007/s00484-010-0393-2","title":"Thermal comfort modelling of body temperature and psychological variations of a human exercising in an outdoor environment","year":2010,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Bar (unit); Rank (graph theory); Thermal sensation; Thermal comfort; Physical activity; Mathematics; Statistics; Psychology; Combinatorics; Physics; Thermodynamics; Physical therapy; Meteorology; Medicine","score_opus":0.019508252914451504,"score_gpt":0.2665383905545519,"score_spread":0.2470301376401004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047869255","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":[0.9803183,0.00004612893,0.019182812,0.00004614064,0.0003203317,0.000023887369,0.0000050707085,0.000005244755,0.000052046817],"genre_scores_gemma":[0.9897851,0.000049071205,0.010069465,0.000013311447,0.000066709894,0.0000011263525,0.0000062575205,0.000007066653,0.0000018960046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935883,0.000020778447,0.0003645679,0.00006416217,0.00012456723,0.00006711602],"domain_scores_gemma":[0.9996846,0.000028745188,0.00013588152,0.00006630398,0.00005641378,0.000028064122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020215755,0.00006311973,0.00015337662,0.00032111508,0.000012945083,0.000008437366,0.00016495725,0.00012257839,0.00004257905],"category_scores_gemma":[0.000005363284,0.000055959143,0.000034318782,0.000060483373,0.000057864974,0.00012611075,0.000018156448,0.00020734085,6.39682e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039785384,0.00011093371,0.0034521245,0.0000027614128,0.000037845413,0.000004801589,0.00012872033,0.57379985,0.4194063,0.0017164213,0.00000188656,0.0012985612],"study_design_scores_gemma":[0.002821904,0.0012479688,0.08090099,0.000084754916,0.00006899856,0.00025939583,0.000079650716,0.85740703,0.050815545,0.005898223,0.00009445807,0.00032107963],"about_ca_topic_score_codex":0.0000062630347,"about_ca_topic_score_gemma":0.00000505616,"teacher_disagreement_score":0.36859074,"about_ca_system_score_codex":0.000012904672,"about_ca_system_score_gemma":0.000005290573,"threshold_uncertainty_score":0.22819477},"labels":[],"label_agreement":null},{"id":"W2052261549","doi":"10.1007/s00484-010-0345-x","title":"The reported incidence of campylobacteriosis modelled as a function of earlier temperatures and numbers of cases, Montreal, Canada, 1990–2006","year":2010,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Public Health Agency of Canada","funders":"","keywords":"Incidence (geometry); Demography; Medicine; Negative binomial distribution; Mathematics; Statistics; Poisson distribution","score_opus":0.012536298493707623,"score_gpt":0.2724655485909938,"score_spread":0.2599292500972862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052261549","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":[0.9973928,0.00014181128,0.000008975007,0.001503684,0.0005849116,0.00005839931,0.000048821214,0.0000010781662,0.0002595187],"genre_scores_gemma":[0.9992261,0.0003485202,0.00010447455,0.00021918696,0.000050147144,0.0000011144404,0.00000388,0.00000447727,0.000042078824],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987508,0.00004455535,0.0005881933,0.00008841178,0.00040289861,0.00012514995],"domain_scores_gemma":[0.9984578,0.00025562214,0.00091797434,0.00011039638,0.0001692337,0.00008898287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004386722,0.0000737031,0.00019976738,0.00009990063,0.000039324954,0.000007819747,0.0002083034,0.00006684799,0.00026991311],"category_scores_gemma":[0.0003117154,0.000050798786,0.0000451448,0.00011898334,0.00025832187,0.0001055002,0.00007359781,0.00014867881,6.546358e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019268187,0.0001553793,0.25971958,0.000023734838,0.000288183,0.00022708306,0.0006871265,0.0001801668,0.7167419,0.00010719402,0.006761659,0.013181161],"study_design_scores_gemma":[0.0010133304,0.00086854486,0.97818065,0.000052738797,0.00008239772,0.0024488873,0.00022488926,0.0002774496,0.0118018715,0.0010355358,0.0039032,0.000110523346],"about_ca_topic_score_codex":0.3272248,"about_ca_topic_score_gemma":0.48568377,"teacher_disagreement_score":0.71846104,"about_ca_system_score_codex":0.00006452709,"about_ca_system_score_gemma":0.00013075037,"threshold_uncertainty_score":0.6772553},"labels":[],"label_agreement":null},{"id":"W2053472085","doi":"10.1007/s00484-010-0362-9","title":"Advances, shortcomings, and recommendations for wind chill estimation","year":2010,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computation; Meteorology; Frostbite; Environmental science; Wind speed; Asymmetry; Computer science; Aeronautics; Engineering; Physics; Algorithm","score_opus":0.01817674885963012,"score_gpt":0.36195416870930713,"score_spread":0.343777419849677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053472085","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":[0.9784885,0.000116396695,0.0060235546,0.014070972,0.0010266794,0.00010190928,0.000020796297,0.000007823757,0.00014334245],"genre_scores_gemma":[0.9730199,0.000108520944,0.025578547,0.0009101313,0.00028600838,0.0000020007233,0.000030935873,0.0000051667043,0.00005880223],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994551,0.000021518406,0.0002678531,0.00007519397,0.00011060147,0.00006973822],"domain_scores_gemma":[0.9990302,0.0003185824,0.00020726435,0.000049745882,0.0003231584,0.00007110296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023745508,0.000057446225,0.00014533849,0.00024135305,0.00002825971,0.0000122085985,0.00008459706,0.00006829986,0.00020814926],"category_scores_gemma":[0.00053333514,0.000042698714,0.00006588796,0.000052598618,0.00008646188,0.000108821936,0.000017131064,0.00013310545,0.0000019702068],"study_design_candidate":"design_other","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":[0.0033090413,0.0001253516,0.001862298,0.0000071674676,0.0001177436,0.000008603782,0.00008073027,0.000014891603,0.26198983,0.005580846,0.0006979996,0.72620547],"study_design_scores_gemma":[0.004754932,0.0018982865,0.5627637,0.00005762747,0.00012064749,0.0026217513,0.0000602129,0.0022788695,0.010848407,0.026864184,0.38755623,0.00017514493],"about_ca_topic_score_codex":8.001254e-7,"about_ca_topic_score_gemma":0.000002265585,"teacher_disagreement_score":0.72603035,"about_ca_system_score_codex":0.000013250449,"about_ca_system_score_gemma":0.000038111753,"threshold_uncertainty_score":0.22790883},"labels":[],"label_agreement":null},{"id":"W2053486286","doi":"10.1007/s00484-015-1000-3","title":"Annual incidence of mortality related to hypertensive disease in Canada and associations with heliophysical parameters","year":2015,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University; University of Sudbury","funders":"","keywords":"Demography; Incidence (geometry); Annual cycle; Space weather; Earth's magnetic field; Disease; Climatology; Geography; Medicine; Meteorology; Internal medicine; Mathematics","score_opus":0.02403057427752047,"score_gpt":0.3090821625367429,"score_spread":0.28505158825922244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053486286","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":[0.9934926,0.000066679924,0.000048193713,0.0059310966,0.00026826066,0.00007931671,0.000086628286,0.000001709023,0.00002553497],"genre_scores_gemma":[0.9969448,0.00020523764,0.0011264615,0.0016769752,0.000029004717,0.0000015898593,0.000008648702,0.0000045336706,0.0000027826272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988654,0.000057484587,0.00040922928,0.000096507225,0.0004544206,0.00011694698],"domain_scores_gemma":[0.99825704,0.000097268,0.00027475192,0.000056263456,0.0009986152,0.00031603654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027404985,0.0000656876,0.00028568818,0.00031079902,0.000008692855,0.0000026759308,0.00009112285,0.000034807545,0.0000041820626],"category_scores_gemma":[0.0004129095,0.000051071616,0.000023038328,0.00021545096,0.00006180969,0.000073386844,0.000029225701,0.00014967304,8.3892746e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076077075,0.00009353638,0.9955127,0.0000069752855,0.00023637578,0.0006104485,0.00060957886,0.00009644947,0.00044138846,0.00066655723,0.0003498812,0.0006153405],"study_design_scores_gemma":[0.0013136354,0.0004480476,0.99486643,0.000050831124,0.00004012944,0.00018074359,0.0002670096,0.00009263846,0.00013652639,0.0025267035,0.000029359775,0.00004791652],"about_ca_topic_score_codex":0.16229703,"about_ca_topic_score_gemma":0.16739729,"teacher_disagreement_score":0.00510026,"about_ca_system_score_codex":0.0004371565,"about_ca_system_score_gemma":0.0027892902,"threshold_uncertainty_score":0.84779555},"labels":[],"label_agreement":null},{"id":"W2055991151","doi":"10.1007/s00484-012-0522-1","title":"Improved predictive ability of climate–human–behaviour interactions with modifications to the COMFA outdoor energy budget model","year":2012,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Wind speed; Environmental science; Energy budget; Statistics; Mathematics; Meteorology; Econometrics; Physics; Thermodynamics","score_opus":0.030555422747070477,"score_gpt":0.34385036669338837,"score_spread":0.3132949439463179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055991151","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":[0.9697579,0.00005453726,0.02566764,0.0036549384,0.00033309808,0.00012941429,0.00012206488,0.000010744319,0.00026963212],"genre_scores_gemma":[0.9971857,0.000021970678,0.0016597278,0.0007334502,0.00023469309,0.000017231614,0.000022701808,0.000009581257,0.000114941664],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99882734,0.00012762086,0.00049237703,0.000106955624,0.00027658697,0.00016910388],"domain_scores_gemma":[0.9981132,0.00025899193,0.00041705277,0.00018973845,0.00086545944,0.00015554622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003798203,0.000106495834,0.0002563927,0.00030655766,0.000053772612,0.000009160472,0.00026289257,0.000063348496,0.0001639091],"category_scores_gemma":[0.00018530013,0.000060306516,0.0001368821,0.00016623233,0.00017697808,0.0001258957,0.000064109605,0.00017653247,0.0000034319858],"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":[0.018346163,0.0020471,0.021469286,0.0000104077235,0.00084774307,0.0000068315776,0.0013583269,0.0030354843,0.92940116,0.011298148,0.0006709489,0.0115084285],"study_design_scores_gemma":[0.0014863876,0.0018425665,0.9748993,0.00003935755,0.0002047135,0.0003800467,0.00027353715,0.006777333,0.0110534625,0.00062440825,0.0023061363,0.00011276928],"about_ca_topic_score_codex":0.000029782037,"about_ca_topic_score_gemma":0.000013435337,"teacher_disagreement_score":0.95343,"about_ca_system_score_codex":0.000104217994,"about_ca_system_score_gemma":0.00008969076,"threshold_uncertainty_score":0.24592285},"labels":[],"label_agreement":null},{"id":"W2057215954","doi":"10.1007/s00484-014-0820-x","title":"Bioclimatic comfort and the thermal perceptions and preferences of beach tourists","year":2014,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":173,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thermal comfort; Tourism; Perception; Geography; Climate change; Thermal sensation; Urban park; Environmental resource management; Environmental science; Environmental planning; Meteorology; Psychology; Ecology","score_opus":0.006724428369170281,"score_gpt":0.23310575161605257,"score_spread":0.2263813232468823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057215954","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":[0.99640596,0.00008557979,0.00058491126,0.001140409,0.00015745418,0.000042746356,0.000003136755,0.0000017749785,0.0015780049],"genre_scores_gemma":[0.9988104,0.00007742301,0.0008673532,0.00014152007,0.0000670035,0.0000014636785,0.0000020302978,0.0000024108704,0.000030382475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993345,0.000111566456,0.00024283989,0.00006115397,0.00018858604,0.00006131764],"domain_scores_gemma":[0.99946845,0.00023280215,0.00019184666,0.000048553888,0.000028209479,0.000030146863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051882083,0.00004817381,0.000116925476,0.00008141342,0.000029477807,0.000013210437,0.00017147245,0.00003374065,0.00027694815],"category_scores_gemma":[0.000070701826,0.000028502265,0.000030888106,0.00004691513,0.0005573137,0.000097021955,0.00007040247,0.00006857087,0.0000035199716],"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":[0.00027623263,0.000082760336,0.8859393,0.000007942679,0.00017100957,0.0000028068775,0.0021573983,0.00007033141,0.059993975,0.0026102199,0.0006827061,0.04800531],"study_design_scores_gemma":[0.0012996348,0.0002547669,0.9848996,0.000013777549,0.000048045116,0.00022940144,0.00009812345,0.0010063318,0.0007858046,0.0105191115,0.00079037575,0.00005505646],"about_ca_topic_score_codex":0.00005811955,"about_ca_topic_score_gemma":0.000022592283,"teacher_disagreement_score":0.098960266,"about_ca_system_score_codex":0.000016917462,"about_ca_system_score_gemma":0.0000056528943,"threshold_uncertainty_score":0.3032388},"labels":[],"label_agreement":null},{"id":"W2059607445","doi":"10.1007/s00484-013-0634-2","title":"Changing air mass frequencies in Canada: potential links and implications for human health","year":2013,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada","funders":"Health Canada","keywords":"Geography; Human health; Occupational safety and health; Environmental science; Environmental health; Political science; Medicine","score_opus":0.03326019510685003,"score_gpt":0.3165085173964205,"score_spread":0.2832483222895705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059607445","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":[0.9351478,0.00013224421,0.0008972478,0.063241996,0.0003293512,0.0001392601,0.000031653304,0.000002213636,0.00007823232],"genre_scores_gemma":[0.9942147,0.00011499912,0.0009925128,0.004497656,0.00013677057,0.000012100827,0.000009079517,0.0000052305586,0.000016956597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991629,0.000025755668,0.0003422621,0.00008993396,0.00012867023,0.00025047513],"domain_scores_gemma":[0.99945986,0.00005881799,0.00025777717,0.000046898575,0.000050163686,0.00012649375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028287573,0.000059885337,0.0001379035,0.00023654672,0.00006485526,0.000012766289,0.00018651226,0.0000478979,0.0003005994],"category_scores_gemma":[0.000029070752,0.000053447417,0.0000244799,0.00009979453,0.000051237974,0.00014518671,0.000051567287,0.00010520034,0.0000034731015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010536755,0.00017305228,0.6029399,0.000052704996,0.0001171215,0.00004779207,0.002385891,0.0007264333,0.1933844,0.0018246981,0.02412352,0.17411911],"study_design_scores_gemma":[0.00078404666,0.0002941231,0.9788517,0.0000247409,0.0000047975323,0.00020269405,0.0004034248,0.0003020311,0.00028877708,0.01697672,0.0017762419,0.00009072478],"about_ca_topic_score_codex":0.19346075,"about_ca_topic_score_gemma":0.3516427,"teacher_disagreement_score":0.37591177,"about_ca_system_score_codex":0.0006815946,"about_ca_system_score_gemma":0.00012682461,"threshold_uncertainty_score":0.8119101},"labels":[],"label_agreement":null},{"id":"W2067033985","doi":"10.1007/s00484-013-0672-9","title":"A phylogenetic comparative study of flowering phenology along an elevational gradient in the Canadian subarctic","year":2013,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Phenology; Subarctic climate; Tundra; Biology; Phylogenetic tree; Ecology; Altitude (triangle); Ecosystem","score_opus":0.06672894048881202,"score_gpt":0.2716138916878648,"score_spread":0.2048849511990528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067033985","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":[0.9977946,0.000097250515,7.05836e-7,0.0017291598,0.0001481912,0.00011934912,0.000010442745,0.0000015200128,0.00009878022],"genre_scores_gemma":[0.99959177,0.000010635616,0.00003293133,0.00019352623,0.00015517637,0.000007753933,0.000005653271,3.649154e-7,0.0000021652163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990286,0.00015217578,0.00034006117,0.00009288648,0.00023496989,0.00015128065],"domain_scores_gemma":[0.99923587,0.00021514001,0.00018970878,0.000015237214,0.0002956204,0.000048433663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003024531,0.00007323006,0.00017654602,0.00012359263,0.000066195935,0.000027044687,0.0004905565,0.000039498736,0.00013084566],"category_scores_gemma":[0.000031598505,0.000027239665,0.000039889183,0.00020283648,0.00007988534,0.000091631824,0.000030420932,0.00011563291,0.000005845037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015241081,0.00095613487,0.80240357,0.0000013860222,0.0002852194,0.00010337122,0.0048897327,0.00009272385,0.17747368,0.0007023685,0.00013613379,0.012803269],"study_design_scores_gemma":[0.00025897293,0.0015283865,0.9935639,0.0000037658215,0.000008010718,0.00011216711,0.003233068,0.00007960279,0.00013232484,0.0008058758,0.00022637896,0.000047568363],"about_ca_topic_score_codex":0.044902306,"about_ca_topic_score_gemma":0.623086,"teacher_disagreement_score":0.57818365,"about_ca_system_score_codex":0.00004525385,"about_ca_system_score_gemma":0.000020641832,"threshold_uncertainty_score":0.9614578},"labels":[],"label_agreement":null},{"id":"W2067603760","doi":"10.1007/s00484-009-0292-6","title":"Evaluation of different methods for determining growing degree-day thresholds in apricot cultivars","year":2009,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Science and Engineering Research Board; McMaster University","keywords":"Growing degree-day; Standard deviation; Mathematics; Prunus armeniaca; Cultivar; Statistics; Mean squared error; Degree (music); Coefficient of variation; Coefficient of determination; Linear regression; Horticulture; Threshold limit value; Standard error; Sowing; Biology; Chemistry; Physics","score_opus":0.14157958252351932,"score_gpt":0.4365782829760826,"score_spread":0.29499870045256327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067603760","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":[0.995848,0.00024280392,0.00030309736,0.003016645,0.0003109014,0.00016882189,0.0000083398845,0.0000043696473,0.00009702644],"genre_scores_gemma":[0.99706876,0.000053222913,0.0024876192,0.00014513891,0.0002109492,0.000007685822,0.000014252174,6.930805e-7,0.000011668407],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978803,0.0004573581,0.0006079213,0.000149738,0.00068125303,0.00022344894],"domain_scores_gemma":[0.9975019,0.0006790538,0.00033466172,0.000027924832,0.0013820378,0.00007443917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003168805,0.00011395707,0.00028919536,0.00012766114,0.00003715964,0.000030896175,0.0004523788,0.00010351354,0.000085761254],"category_scores_gemma":[0.0010692001,0.000040605795,0.00019522439,0.00024823376,0.000051834282,0.00026178785,0.000043459797,0.00014086069,9.236081e-7],"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":[0.000064499,0.000073140116,0.001913699,8.6052796e-7,0.00003494831,0.000002497623,0.000057209254,0.00001588408,0.5075945,0.00010786676,0.000012033454,0.49012282],"study_design_scores_gemma":[0.0014804453,0.002137466,0.82113844,0.00009202911,0.0000964532,0.000120701894,0.0003880879,0.004028255,0.15894663,0.01054357,0.00083538383,0.00019252746],"about_ca_topic_score_codex":0.000018750392,"about_ca_topic_score_gemma":0.000048982558,"teacher_disagreement_score":0.8192248,"about_ca_system_score_codex":0.00012071583,"about_ca_system_score_gemma":0.00002207875,"threshold_uncertainty_score":0.16558564},"labels":[],"label_agreement":null},{"id":"W2067655253","doi":"10.1007/s00484-004-0210-x","title":"Rapid growth and early flowering in an invasive plant, purple loosestrife (Lythrum salicaria L.) during an El Ni�o spring","year":2004,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University; Nipissing University; Western University","funders":"Nipissing University","keywords":"Spring (device); Biology; Invasive species; Botany; Engineering","score_opus":0.013037207045493278,"score_gpt":0.23279428531136356,"score_spread":0.2197570782658703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067655253","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":[0.99730843,0.0002879963,0.000011114475,0.0011833684,0.00084930484,0.000061752595,0.00016218795,0.000014086877,0.000121754456],"genre_scores_gemma":[0.99824077,0.0007627372,0.000243952,0.00012410143,0.00056367967,0.0000022678978,0.000057296853,0.0000015348169,0.000003668181],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988903,0.00007767303,0.00041413688,0.00019332011,0.0002102687,0.00021431844],"domain_scores_gemma":[0.9991884,0.0002706502,0.00022743878,0.000035709527,0.00012914426,0.00014863575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021456479,0.00012507026,0.00020705078,0.00021499078,0.00006737249,0.00009449479,0.00038098765,0.000108320026,0.0001819607],"category_scores_gemma":[0.00014841554,0.00006502904,0.000062563806,0.00018344213,0.000020528432,0.00065835967,0.000054103093,0.0002477326,0.000008108687],"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":[0.00043976784,0.00014996664,0.14684679,0.0000031959355,0.00005811553,0.00035107997,0.00021019041,0.00003505094,0.84618515,0.0013739961,0.0000062957993,0.004340378],"study_design_scores_gemma":[0.0006330974,0.0014292893,0.96082675,0.00010559909,0.000018122646,0.0022065607,0.00022203564,0.00002413481,0.030865924,0.0030482828,0.0003996494,0.00022053221],"about_ca_topic_score_codex":0.001957747,"about_ca_topic_score_gemma":0.0012424329,"teacher_disagreement_score":0.81531924,"about_ca_system_score_codex":0.000047471643,"about_ca_system_score_gemma":0.000022435854,"threshold_uncertainty_score":0.29595408},"labels":[],"label_agreement":null},{"id":"W2072762039","doi":"10.1007/s00484-014-0806-8","title":"Citizen science: best practices to remove observer bias in trend analysis","year":2014,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Citizen science; Observer (physics); Anomaly (physics); Range (aeronautics); Geography; Regression analysis; Physical geography; Environmental science; Statistics; Ecology; Mathematics; Engineering; Biology","score_opus":0.08982577929596633,"score_gpt":0.3655409460436185,"score_spread":0.2757151667476522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072762039","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":[0.97912383,0.000016550508,0.0002204978,0.00526444,0.0005719547,0.000030822102,0.000019043126,0.0000038726516,0.014749016],"genre_scores_gemma":[0.9981125,0.000031808468,0.00047875463,0.0010777155,0.00008380864,0.0000015085366,0.000008136559,0.0000035318806,0.00020222263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842626,0.00008679488,0.00039263233,0.00019333397,0.00069012074,0.00021086835],"domain_scores_gemma":[0.99891603,0.00014958617,0.000577158,0.00012037446,0.000096383344,0.00014046827],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014782036,0.00008281766,0.000192815,0.00095845206,0.000039552906,0.000074493626,0.0007652389,0.000050511895,0.015610334],"category_scores_gemma":[0.00096931227,0.00006953647,0.00010660219,0.0018496506,0.00026900525,0.00034611917,0.00020776557,0.0001110475,0.0003417389],"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":[0.00033102304,0.00046592124,0.8770762,0.0000017318068,0.00031476098,0.00010083578,0.00063141104,0.0007740561,0.08204452,0.0019849031,0.0030626208,0.03321202],"study_design_scores_gemma":[0.00058853376,0.00031851942,0.92441434,0.000005308194,0.000072697,0.000091426475,0.0004940496,0.0003457379,0.0017598463,0.00031687802,0.07147692,0.00011573447],"about_ca_topic_score_codex":0.00036346962,"about_ca_topic_score_gemma":0.0017231018,"teacher_disagreement_score":0.08028468,"about_ca_system_score_codex":0.0005506936,"about_ca_system_score_gemma":0.000019683594,"threshold_uncertainty_score":0.9852895},"labels":[],"label_agreement":null},{"id":"W2072882290","doi":"10.1007/s00484-004-0200-z","title":"Electronic leaf wetness duration sensor: why it should be painted","year":2004,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Dew; Leaf wetness; Environmental science; Dew point; Canopy; Hydrology (agriculture); Remote sensing; Meteorology; Geography; Horticulture; Geology; Geotechnical engineering","score_opus":0.04938101316108644,"score_gpt":0.26771658050016633,"score_spread":0.21833556733907988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072882290","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":[0.85556597,0.00023155102,0.00039056744,0.14270562,0.00082035485,0.00006735401,0.000010506856,0.00001439018,0.00019368004],"genre_scores_gemma":[0.9917835,0.00015941593,0.00012801526,0.007134509,0.00070172973,0.0000025349448,0.000019602103,0.00000133688,0.00006936692],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984865,0.000099908,0.0004839765,0.00015041885,0.0005193248,0.00025988033],"domain_scores_gemma":[0.9988951,0.000072087874,0.00032224893,0.00003643963,0.00059812685,0.000075981254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006347674,0.00011869159,0.00017900213,0.000079427926,0.00006886087,0.000057757854,0.0004503889,0.0001112267,0.0005355938],"category_scores_gemma":[0.00013188385,0.000046540423,0.00015196436,0.00019176671,0.000072459094,0.0001903139,0.00004800137,0.00021508125,0.000019947049],"study_design_candidate":"bench_or_experimental","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":[0.0006031308,0.00027055579,0.0017428782,0.00000281395,0.0002851597,0.00007464992,0.00017350189,0.00013210447,0.955352,0.0019566258,0.0027883265,0.036618225],"study_design_scores_gemma":[0.0035072265,0.0059195906,0.027938548,0.00009522328,0.00010671257,0.0019362973,0.0013011711,0.00012314488,0.1290178,0.013110991,0.8163233,0.00062000117],"about_ca_topic_score_codex":0.00016798098,"about_ca_topic_score_gemma":0.00043626264,"teacher_disagreement_score":0.82633424,"about_ca_system_score_codex":0.0002050119,"about_ca_system_score_gemma":0.00004362933,"threshold_uncertainty_score":0.5864376},"labels":[],"label_agreement":null},{"id":"W2076156305","doi":"10.1007/s00484-015-0985-y","title":"Estimation of the base temperature and growth phase duration in terms of thermal time for four grapevine cultivars","year":2015,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McMaster University; Washington State University","keywords":"Veraison; Cultivar; Phenology; Horticulture; Vitis vinifera; Ripening; Mathematics; Botany; Biology","score_opus":0.033586095838737555,"score_gpt":0.30877618690744746,"score_spread":0.2751900910687099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076156305","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":[0.99331915,0.00004313802,0.0000070489837,0.0062920265,0.00013075222,0.00013108415,0.000050157705,0.0000017155231,0.000024937772],"genre_scores_gemma":[0.9995322,0.000017966468,0.00021713962,0.00006314218,0.0001087613,0.0000033837089,0.000021177917,5.5315957e-7,0.000035632278],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990554,0.00009784667,0.00039289845,0.00007833811,0.000281052,0.00009449918],"domain_scores_gemma":[0.9989236,0.00018276385,0.00031115982,0.000019368445,0.0005106641,0.000052448046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004422063,0.00006782748,0.0001639532,0.000052049512,0.000021837766,0.000016190044,0.00023966223,0.00006774002,0.000024945251],"category_scores_gemma":[0.0005243657,0.000020513206,0.00008207047,0.00020390247,0.000101993464,0.00018394885,0.00004450038,0.00008645167,5.9601155e-7],"study_design_candidate":"bench_or_experimental","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":[0.00041743615,0.0001133892,0.004420577,0.000004843977,0.00003249562,0.0000035635378,0.00010876082,0.00002574436,0.96625674,0.00017169336,0.00012109102,0.028323676],"study_design_scores_gemma":[0.004513665,0.004085375,0.49904487,0.00014751097,0.000051100033,0.0003246052,0.00025884275,0.004775065,0.48093644,0.0052755587,0.00039654516,0.00019042986],"about_ca_topic_score_codex":0.00003463521,"about_ca_topic_score_gemma":0.000025738069,"teacher_disagreement_score":0.4946243,"about_ca_system_score_codex":0.000023973282,"about_ca_system_score_gemma":0.000013439927,"threshold_uncertainty_score":0.083650425},"labels":[],"label_agreement":null},{"id":"W2080995580","doi":"10.1007/s00484-013-0729-9","title":"A glossary for biometeorology","year":2014,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":126,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Biometeorology; Field (mathematics); Resource (disambiguation); Computer science; Data science; Geography; Mathematics; Linguistics; Archaeology","score_opus":0.026262390492832726,"score_gpt":0.32759764863291396,"score_spread":0.3013352581400812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080995580","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":[0.95989126,0.00010992015,0.013350311,0.020507934,0.0032460818,0.00013784706,0.000033917335,0.000014588296,0.0027081468],"genre_scores_gemma":[0.98728836,0.00008105853,0.0063173263,0.0054081795,0.0007950398,0.000006275937,0.0000108955555,0.000012599682,0.00008029342],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99878883,0.00007292083,0.0004481534,0.00014036645,0.0002683845,0.00028134903],"domain_scores_gemma":[0.9989082,0.00034490993,0.0003964149,0.00010106669,0.00009600091,0.00015339216],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009006322,0.000099460674,0.00022742123,0.00033357058,0.0000437198,0.000017583778,0.0005048988,0.00011251545,0.0013586825],"category_scores_gemma":[0.0003358494,0.00008214377,0.000120417615,0.00015971446,0.00017125854,0.00015635426,0.00011375624,0.00010186531,0.00014192554],"study_design_candidate":"not_applicable","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":[0.00274808,0.00064689683,0.08167797,0.00003129202,0.00034457204,0.00010383449,0.000894893,0.00019710866,0.20881775,0.0035848138,0.12061068,0.5803421],"study_design_scores_gemma":[0.0047482615,0.0048113973,0.07865525,0.00002874782,0.0000719602,0.0016378239,0.000061012226,0.0016681041,0.004925917,0.048551016,0.85451984,0.00032068533],"about_ca_topic_score_codex":0.000025295372,"about_ca_topic_score_gemma":0.000023104527,"teacher_disagreement_score":0.73390913,"about_ca_system_score_codex":0.00011840482,"about_ca_system_score_gemma":0.000015447424,"threshold_uncertainty_score":0.9995542},"labels":[],"label_agreement":null},{"id":"W2081236987","doi":"10.1007/s00484-006-0028-9","title":"A time series analysis of the relationship of ambient temperature and common bacterial enteric infections in two Canadian provinces","year":2006,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":192,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of Guelph; Public Health Agency of Canada","funders":"","keywords":"Series (stratigraphy); Enteric fever; Time series; Geography; Veterinary medicine; Biology; Microbiology; Medicine; Statistics; Typhoid fever; Mathematics","score_opus":0.01398694267926598,"score_gpt":0.28832958667890796,"score_spread":0.274342643999642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081236987","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":[0.99674404,0.000030656054,0.0000010491644,0.0026480597,0.0002266385,0.000053536092,0.00007245151,8.871495e-7,0.00022270768],"genre_scores_gemma":[0.9997513,0.000017484004,0.000049832524,0.000092258386,0.000043253916,0.0000011326727,0.000012620679,0.0000022345168,0.000029845718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992417,0.00008553795,0.00036224825,0.000059802907,0.00015424468,0.00009648041],"domain_scores_gemma":[0.9994459,0.00009478351,0.00031947703,0.000056068653,0.00003781634,0.000045924382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002541551,0.000049813287,0.00016621737,0.00054118945,0.0000328599,0.0000102392105,0.00014721426,0.000039600214,0.00037053163],"category_scores_gemma":[0.000059750455,0.000035840807,0.000056029687,0.0005254434,0.00019042367,0.00013036984,0.000047626843,0.000087802335,0.0000015404078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006697722,0.000056132976,0.9730282,0.0000022534348,0.000048616974,0.000004387653,0.00024440646,0.0004186732,0.025710415,0.00007351491,0.00013844344,0.00020801049],"study_design_scores_gemma":[0.00028140465,0.00012759789,0.9978426,0.000016412265,0.000050517807,0.000058024892,0.00003102996,0.00007972719,0.000695577,0.00042035646,0.0003685827,0.000028137616],"about_ca_topic_score_codex":0.04801167,"about_ca_topic_score_gemma":0.4128539,"teacher_disagreement_score":0.3648422,"about_ca_system_score_codex":0.0001713377,"about_ca_system_score_gemma":0.000044990982,"threshold_uncertainty_score":0.9583277},"labels":[],"label_agreement":null},{"id":"W2081911980","doi":"10.1007/s00484-009-0227-2","title":"Part B: Revisions to the COMFA outdoor thermal comfort model for application to subjects performing physical activity","year":2009,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microclimate; Thermal comfort; Clothing; Physical activity; Skin temperature; Environmental science; Thermal sensation; Wind speed; Simulation; Meteorology; Atmospheric sciences; Medicine; Physical therapy; Computer science; Geography; Biomedical engineering; Physics","score_opus":0.04337052079516161,"score_gpt":0.38203674646125635,"score_spread":0.3386662256660947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081911980","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":[0.91328764,0.000013540399,0.060108434,0.025934827,0.00018028839,0.00035801192,0.000023087337,0.000010645351,0.00008350414],"genre_scores_gemma":[0.99149483,0.000005698586,0.0015820845,0.0060144495,0.0007113824,0.000017657028,0.00000829798,0.000007122623,0.0001584657],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99912363,0.000053939617,0.00024136131,0.00013423827,0.00029297877,0.00015384355],"domain_scores_gemma":[0.9988391,0.00030563716,0.0001781154,0.0001450628,0.00038118596,0.00015094383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038402397,0.00010035773,0.00025230632,0.00019741763,0.000065645494,0.000016195208,0.000284057,0.000056602305,0.000029326471],"category_scores_gemma":[0.00033652422,0.000059591,0.0001833156,0.00014996165,0.000037695983,0.000063772466,0.00003710828,0.00014310409,0.000014642881],"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":[0.011186057,0.00044528567,0.00014149121,0.0000034682328,0.0001098311,0.0000052055584,0.00042249841,0.0057630665,0.47943392,0.0016969221,0.0013017438,0.49949053],"study_design_scores_gemma":[0.003260257,0.0065137716,0.6815388,0.000112039226,0.00019150697,0.00031331074,0.00007726152,0.23034243,0.02292827,0.0031987012,0.051200446,0.0003231782],"about_ca_topic_score_codex":0.000001520442,"about_ca_topic_score_gemma":9.5233725e-7,"teacher_disagreement_score":0.6813973,"about_ca_system_score_codex":0.00006611776,"about_ca_system_score_gemma":0.00007342263,"threshold_uncertainty_score":0.24300504},"labels":[],"label_agreement":null},{"id":"W2082462747","doi":"10.1007/s00484-009-0226-3","title":"Part A: Assessing the performance of the COMFA outdoor thermal comfort model on subjects performing physical activity","year":2009,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal sensation; Thermal comfort; Physical activity; Environmental science; Atmospheric sciences; Meteorology; Psychology; Mathematics; Simulation; Statistics; Medicine; Physical therapy; Geography; Computer science; Physics","score_opus":0.01766181342152938,"score_gpt":0.2825687582206746,"score_spread":0.2649069447991452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082462747","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":[0.9956858,0.000006072671,0.0001744842,0.0022396476,0.00043476676,0.00006873555,0.0000038575868,0.0000037430466,0.0013828557],"genre_scores_gemma":[0.99910605,0.000007089095,0.000121330966,0.00050401327,0.0001864527,0.0000011649006,6.5147856e-7,0.000004870392,0.00006835089],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99890757,0.00008977361,0.0002220378,0.000098414755,0.000537332,0.00014484893],"domain_scores_gemma":[0.99929273,0.00012841396,0.0003664757,0.00013618643,0.000044643417,0.000031526066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041392702,0.00009417869,0.00014568516,0.00006243252,0.0000989409,0.000021543665,0.00055803114,0.000047638037,0.000050046536],"category_scores_gemma":[0.00003895911,0.000050472365,0.00012013636,0.00012318473,0.00021970423,0.00032913385,0.00007922923,0.0002642124,0.000007485558],"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":[0.000484197,0.0007636058,0.22920004,0.0000046218724,0.00013774874,0.000011610883,0.0012607028,0.06842522,0.56106067,0.00042690054,0.0007373993,0.13748729],"study_design_scores_gemma":[0.0005545096,0.0005349407,0.7745025,0.00003532929,0.00003222853,0.00010995931,0.00002402836,0.13262866,0.0907912,0.0004290894,0.0002668172,0.00009074612],"about_ca_topic_score_codex":0.000009052568,"about_ca_topic_score_gemma":0.0000028464951,"teacher_disagreement_score":0.54530245,"about_ca_system_score_codex":0.00013037807,"about_ca_system_score_gemma":0.000035149795,"threshold_uncertainty_score":0.20582034},"labels":[],"label_agreement":null},{"id":"W2082720060","doi":"10.1007/s004840100105","title":"Changes in mass and energy transfer between the canopy and the atmosphere: model development and testing with a free-air CO2 enrichment (FACE) experiment","year":2001,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Atmosphere (unit); Environmental science; Canopy; Face (sociological concept); Atmospheric sciences; Meteorology; Geography; Physics","score_opus":0.011236294370456316,"score_gpt":0.20969241004132266,"score_spread":0.19845611567086635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082720060","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":[0.9887007,0.00025091897,0.006271145,0.0044633136,0.000033123844,0.00004625654,0.0000042730007,0.0000021169524,0.00022815594],"genre_scores_gemma":[0.99671775,0.00024421347,0.0026601683,0.00029080032,0.000020023712,0.000008470432,0.0000014749783,0.000004293834,0.000052803665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931717,0.00005902136,0.00019294163,0.000104754436,0.00021424876,0.00011185203],"domain_scores_gemma":[0.99967176,0.00014776392,0.00007243194,0.000050666076,0.000015851612,0.00004154296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035757813,0.0000843887,0.000119821416,0.000033162152,0.00006116637,0.000023152417,0.00017831233,0.00003610993,0.000009417321],"category_scores_gemma":[0.000008797564,0.000043818673,0.00000970781,0.00008719519,0.00023154051,0.00006147711,0.00008537033,0.00009723872,1.8193853e-7],"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":[0.0007336545,0.000081192156,0.8839191,0.0000033172928,0.0003697667,0.00013574054,0.006312665,0.030343585,0.009374285,0.0015517883,0.000025129923,0.067149736],"study_design_scores_gemma":[0.0147934165,0.0011134903,0.5561906,0.00012399274,0.00017734178,0.0034931924,0.0012356963,0.3944462,0.006615438,0.0076160775,0.013496222,0.0006983048],"about_ca_topic_score_codex":0.00019195293,"about_ca_topic_score_gemma":0.000680112,"teacher_disagreement_score":0.3641026,"about_ca_system_score_codex":0.000072763214,"about_ca_system_score_gemma":0.000014989644,"threshold_uncertainty_score":0.17868736},"labels":[],"label_agreement":null},{"id":"W2085941609","doi":"10.1007/s00484-004-0241-3","title":"Climate variability and campylobacter infection: an international study","year":2004,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":223,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Health Canada","funders":"Health Canada","keywords":"Campylobacter; Seasonality; Transmission (telecommunications); Poisson regression; Biology; Serotype; Outbreak; Geography; Demography; Environmental health; Veterinary medicine; Ecology; Medicine; Immunology; Virology; Population; Bacteria","score_opus":0.021933324145965025,"score_gpt":0.2951375265458587,"score_spread":0.2732042023998936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085941609","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":[0.9943186,0.000019001413,0.000053950283,0.00291394,0.0023191518,0.000091280235,0.000028331657,0.000019767782,0.00023594803],"genre_scores_gemma":[0.9978485,0.00017077383,0.00027122855,0.0006187412,0.0010578445,0.0000036628016,0.000023467992,0.0000012190142,0.000004549655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844784,0.0002826608,0.00055880373,0.00024971284,0.00026070295,0.00020030803],"domain_scores_gemma":[0.99878615,0.00022591649,0.0003680473,0.000058552512,0.00043289262,0.00012841541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013009572,0.00013359913,0.00025709535,0.00009644872,0.0000637739,0.00006588015,0.00046592057,0.0001212627,0.00034634967],"category_scores_gemma":[0.00020127554,0.00005934082,0.00009777641,0.00014177377,0.00011334424,0.00041335073,0.00014225567,0.00018530329,0.000011680294],"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":[0.00034929198,0.00081536494,0.9183911,8.9255695e-7,0.00018457421,0.00008094237,0.00016927483,0.00002252493,0.02517463,0.00077003706,0.000014500197,0.05402687],"study_design_scores_gemma":[0.0007671801,0.0017334446,0.9890596,0.0000058870987,0.000024670671,0.00081065996,0.00010799538,0.00000880165,0.0001958403,0.0034326185,0.003748287,0.00010501596],"about_ca_topic_score_codex":0.00018896296,"about_ca_topic_score_gemma":0.00019314491,"teacher_disagreement_score":0.070668496,"about_ca_system_score_codex":0.00007880992,"about_ca_system_score_gemma":0.000015229771,"threshold_uncertainty_score":0.37922862},"labels":[],"label_agreement":null},{"id":"W2095241902","doi":"10.1007/s00484-014-0902-9","title":"An alternative method to characterize the surface urban heat island","year":2014,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":126,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Environment and Climate Change Canada","funders":"Cure Cancer Australia Foundation; Australian Government; Université du Québec à Montréal","keywords":"Urban heat island; Thematic Mapper; Environmental science; Metropolitan area; Mean radiant temperature; Thematic map; Geography; Physical geography; Remote sensing; Meteorology; Climatology; Satellite imagery; Cartography; Climate change; Geology","score_opus":0.012817145748402047,"score_gpt":0.2832778474725001,"score_spread":0.2704607017240981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095241902","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":[0.90022,0.000011797583,0.09171996,0.0059769936,0.0010745736,0.000088434026,0.000020595158,0.000007787378,0.0008798845],"genre_scores_gemma":[0.9873415,0.0000070510578,0.009232687,0.0026831531,0.000575023,0.0000023745354,0.000008425041,0.0000110576175,0.0001386906],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99842644,0.0003981123,0.00035792586,0.00017702689,0.00046179164,0.00017869392],"domain_scores_gemma":[0.99915063,0.000261798,0.00017983663,0.00016337149,0.000115996234,0.00012837967],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012417551,0.00011238051,0.00017196809,0.00012088044,0.000053433963,0.000051613635,0.00082070223,0.00005827375,0.00092543074],"category_scores_gemma":[0.00010816816,0.00007425396,0.000066043714,0.00019354108,0.00010300167,0.000290324,0.00010862492,0.00015930091,0.00016394573],"study_design_candidate":"bench_or_experimental","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":[0.0005100246,0.00021675885,0.09509082,0.0000015256858,0.0002230681,0.000040642124,0.0029952836,0.006949648,0.837683,0.00086751446,0.013018415,0.04240327],"study_design_scores_gemma":[0.0025667103,0.0034740528,0.55627453,0.000031622498,0.000090312875,0.0013921908,0.0001552412,0.019447923,0.078167655,0.006974428,0.33091325,0.0005120914],"about_ca_topic_score_codex":0.00023125514,"about_ca_topic_score_gemma":0.00007949142,"teacher_disagreement_score":0.75951535,"about_ca_system_score_codex":0.00012923959,"about_ca_system_score_gemma":0.000013694753,"threshold_uncertainty_score":0.99998784},"labels":[],"label_agreement":null},{"id":"W2112643492","doi":"10.1007/s00484-005-0256-4","title":"Predicting the onset of net carbon uptake by deciduous forests with soil temperature and climate data: a synthesis of FLUXNET data","year":2005,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":187,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"FluxNet; Deciduous; Environmental science; Atmospheric sciences; Climatology; Agroforestry; Forestry; Ecosystem; Ecology; Geography; Biology; Eddy covariance; Geology","score_opus":0.009351940562376246,"score_gpt":0.23420154321035266,"score_spread":0.22484960264797643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112643492","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":[0.9968606,0.00021920692,0.000043392058,0.001132457,0.00009920454,0.0000467473,0.0014347348,0.000002619775,0.00016099591],"genre_scores_gemma":[0.9983507,0.00029746414,0.0010790101,0.00006416394,0.000054521537,9.030969e-7,0.00013525237,0.000006641856,0.000011369785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890405,0.00006292707,0.00040166668,0.00015885384,0.0003501737,0.00012230153],"domain_scores_gemma":[0.9989532,0.00020316464,0.00045330866,0.00031286653,0.00003738178,0.000040042476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063867046,0.00008660765,0.00017503338,0.00009432971,0.0000282502,0.000018913224,0.0010298981,0.00006656864,0.000028734235],"category_scores_gemma":[0.00007896852,0.000052965126,0.000019107258,0.00010771381,0.00024439534,0.0002534332,0.0004821548,0.00014052504,6.613134e-7],"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":[0.00075167505,0.00024100728,0.92613906,0.000012678023,0.00065829064,0.00006768061,0.0003309314,0.009225693,0.035181675,0.00006107602,0.0016652453,0.02566498],"study_design_scores_gemma":[0.0027396604,0.0010520521,0.53975904,0.0002465842,0.000621061,0.0077141183,0.00024743975,0.42739677,0.008377169,0.00037037034,0.011040323,0.00043541339],"about_ca_topic_score_codex":0.0001678414,"about_ca_topic_score_gemma":0.0010496223,"teacher_disagreement_score":0.41817108,"about_ca_system_score_codex":0.000027689888,"about_ca_system_score_gemma":0.00002135358,"threshold_uncertainty_score":0.2159855},"labels":[],"label_agreement":null},{"id":"W2115893864","doi":"10.1007/s00484-010-0319-z","title":"Weather impacts on leisure activities in Halifax, Nova Scotia","year":2010,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University; McMaster University","funders":"","keywords":"Nova scotia; Promotion (chess); Sunset; Environmental science; Sunrise; Physical activity; Psychology; Meteorology; Geography; Medicine; Political science; Physical therapy","score_opus":0.020828484775649126,"score_gpt":0.3378720265732618,"score_spread":0.3170435417976127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115893864","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":[0.9850363,0.000040831288,0.000036556045,0.0059959954,0.0037447426,0.0000462365,0.000013060619,0.0000076864035,0.005078571],"genre_scores_gemma":[0.9984387,0.000015555663,0.00020293945,0.00024042703,0.0009564042,3.6473872e-7,0.000002294853,0.0000062411377,0.00013708645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988255,0.00009265938,0.00033102254,0.000111448,0.00044222223,0.00019715414],"domain_scores_gemma":[0.9991984,0.00018424088,0.0002598005,0.000078212695,0.00019324759,0.00008612304],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009636781,0.00008267184,0.00018485013,0.00053508685,0.000036213165,0.000052770207,0.000542264,0.00015227463,0.0014858508],"category_scores_gemma":[0.00016511741,0.000068153386,0.00010563727,0.00019394456,0.00031526826,0.00034710346,0.00001601128,0.0004119932,0.000024717026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028595398,0.00019167551,0.96541303,0.0000018199815,0.000070957714,0.00010928871,0.0017039955,0.000003867306,0.02088858,0.0032960789,0.00031657828,0.0077181812],"study_design_scores_gemma":[0.0009835045,0.00021867592,0.9681806,0.000028828863,0.000012797062,0.0000226662,0.00044675654,0.0000040204704,0.003900715,0.0051635476,0.020906774,0.00013113502],"about_ca_topic_score_codex":0.0020905025,"about_ca_topic_score_gemma":0.030429786,"teacher_disagreement_score":0.028339284,"about_ca_system_score_codex":0.000071272334,"about_ca_system_score_gemma":0.00020747706,"threshold_uncertainty_score":0.9994269},"labels":[],"label_agreement":null},{"id":"W2117971708","doi":"10.1007/s00484-007-0107-6","title":"Assessing the impact of a downscaled climate change simulation on the fish fauna in an Inner-Alpine River","year":2007,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Fauna; Climate change; Fish <Actinopterygii>; Environmental science; Ecology; Geography; Fishery; Biology","score_opus":0.03822507750568464,"score_gpt":0.36387113380505254,"score_spread":0.3256460562993679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117971708","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":[0.99321336,0.0000068096965,0.00029514643,0.00496905,0.00027154558,0.00009903292,0.0000043859695,0.0000027338278,0.0011379244],"genre_scores_gemma":[0.9982306,0.000034798824,0.0000767441,0.0015399858,0.00010453061,0.0000023677662,0.0000020896148,0.0000037208667,0.000005190575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905854,0.00012982305,0.00033463337,0.00008906939,0.00022607764,0.00016184045],"domain_scores_gemma":[0.9990005,0.0004674923,0.00037732607,0.00008515638,0.000048137113,0.000021427843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014905139,0.00007632531,0.00012829552,0.00021854251,0.000061534396,0.000016204118,0.00037984797,0.00005175508,0.00042994064],"category_scores_gemma":[0.0001192508,0.000040319745,0.00007432162,0.00021105376,0.0002830039,0.0003461984,0.00014354408,0.00014878694,0.0000102368695],"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":[0.00042442553,0.00034573014,0.9666254,0.000001589498,0.00016779965,0.000060188828,0.0012422844,0.010381234,0.002252947,0.00028974976,0.000833989,0.017374698],"study_design_scores_gemma":[0.0004108593,0.00041088223,0.9952444,0.000009195301,0.000010484652,0.000011676393,0.00012635512,0.0025679905,0.000094888266,0.00089595985,0.00017827099,0.000039082614],"about_ca_topic_score_codex":0.00008380463,"about_ca_topic_score_gemma":0.00047032628,"teacher_disagreement_score":0.028618991,"about_ca_system_score_codex":0.00013281805,"about_ca_system_score_gemma":0.0000040157997,"threshold_uncertainty_score":0.47075486},"labels":[],"label_agreement":null},{"id":"W2147753807","doi":"10.1007/s00484-013-0664-9","title":"Effects of diurnal variations in temperature on non-accidental mortality among the elderly population of Montreal, Québec, 1984–2007","year":2013,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University Health Centre; Royal Victoria Hospital; McGill University","funders":"Ministère de la Santé et des Services sociaux","keywords":"Diurnal temperature variation; Percentile; Demography; Confidence interval; Apparent temperature; Names of the days of the week; Population; Poisson regression; Environmental science; Medicine; Geography; Meteorology; Internal medicine; Statistics; Mathematics","score_opus":0.010829028449517476,"score_gpt":0.28924073106161957,"score_spread":0.2784117026121021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147753807","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":[0.9971596,0.00006280859,0.00002609106,0.0017734178,0.0005677362,0.0001905243,0.000010523665,0.0000019271058,0.00020739951],"genre_scores_gemma":[0.9993943,0.000087292465,0.00006779199,0.00027721113,0.00013686546,0.000006501058,0.000007013017,0.000006228917,0.000016804355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860674,0.00010498938,0.00060666405,0.00009840164,0.0004275004,0.00015571747],"domain_scores_gemma":[0.99877554,0.00029542425,0.00067890325,0.00009633578,0.000078510784,0.00007526532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003805992,0.000094434006,0.00022031367,0.00025021992,0.000033408287,0.000016014626,0.00033384733,0.00009622682,0.00067145325],"category_scores_gemma":[0.00015476996,0.00006434142,0.00008763944,0.00019489136,0.00011806625,0.00027964794,0.0000608309,0.00020367926,0.000015939455],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011618343,0.0003016719,0.9532212,0.000012457226,0.0000657023,0.000020775122,0.0006270339,0.000309742,0.03825751,0.000030414167,0.0012725473,0.005764742],"study_design_scores_gemma":[0.0006755239,0.00054832554,0.99574107,0.000054505985,0.000018400457,0.000023847297,0.000049699967,0.00025279378,0.0018192499,0.0007482776,0.000020620799,0.000047685804],"about_ca_topic_score_codex":0.05534591,"about_ca_topic_score_gemma":0.01512702,"teacher_disagreement_score":0.04251985,"about_ca_system_score_codex":0.00019714927,"about_ca_system_score_gemma":0.000026675667,"threshold_uncertainty_score":0.9509446},"labels":[],"label_agreement":null},{"id":"W2149537417","doi":"10.1007/s00484-008-0145-8","title":"Estimating the radiation absorbed by a human","year":2008,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Overcast; Albedo (alchemy); Environmental science; Radiometer; Radiation; Remote sensing; Background radiation; Meteorology; Atmospheric sciences; Physics; Sky; Optics; Geography","score_opus":0.011167425499765814,"score_gpt":0.2569106976263847,"score_spread":0.24574327212661887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149537417","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":[0.9923924,0.000069958536,0.0035582033,0.0021774895,0.00070813036,0.00004398643,0.000004657824,0.000006956313,0.0010382085],"genre_scores_gemma":[0.9974292,0.0000131233355,0.0015816336,0.0005300638,0.00025720443,0.000002083795,0.0000082123,0.0000055790515,0.00017291981],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99909806,0.00006706654,0.00030600597,0.000080077894,0.0003474644,0.000101347556],"domain_scores_gemma":[0.99948627,0.00008238498,0.0002853554,0.00006853713,0.00003936931,0.00003806819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003073679,0.000060191396,0.00008503583,0.00008365882,0.00009849372,0.000013273989,0.00036773537,0.000043432105,0.0007764981],"category_scores_gemma":[0.000076259785,0.00004154098,0.00005585131,0.000109063374,0.00018662431,0.00018612582,0.000050455805,0.0001142651,0.00008321734],"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":[0.00011747364,0.00023249364,0.27495578,0.0000016861641,0.00022979295,0.00014754271,0.002202733,0.0023923374,0.49909964,0.0002465514,0.16867697,0.051696993],"study_design_scores_gemma":[0.0042928755,0.001258015,0.82217747,0.00002560278,0.00008230473,0.0067056846,0.00008853902,0.009934095,0.038960073,0.009827682,0.106190324,0.00045734202],"about_ca_topic_score_codex":0.00007743261,"about_ca_topic_score_gemma":0.0000072838516,"teacher_disagreement_score":0.54722166,"about_ca_system_score_codex":0.00012220751,"about_ca_system_score_gemma":0.000011273209,"threshold_uncertainty_score":0.85021096},"labels":[],"label_agreement":null},{"id":"W2154555589","doi":"10.1007/s00484-011-0457-y","title":"Plant phenology networks of citizen scientists: recommendations from two decades of experience in Canada","year":2011,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phenology; Citizen science; Climate change; Tracking (education); Ecosystem; Geography; Environmental resource management; Ecology; Sociology; Environmental science; Biology","score_opus":0.046387189862814,"score_gpt":0.2835695106097211,"score_spread":0.23718232074690707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154555589","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":[0.99604744,0.00008457305,0.0005708031,0.00040322405,0.0010784683,0.000028334198,0.00022419136,0.0000013593319,0.0015616217],"genre_scores_gemma":[0.9990876,0.000105042476,0.0005804209,0.00015798585,0.000026094849,0.0000015395515,0.00003200971,0.0000028171435,0.000006530899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989441,0.000058276168,0.0005127305,0.00010525816,0.00024439496,0.0001352366],"domain_scores_gemma":[0.99922985,0.00010039365,0.0004750223,0.000079360674,0.000064300766,0.000051082727],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017384726,0.00006292281,0.00017427873,0.00015578464,0.000014338493,0.0000035939293,0.000523957,0.000038042752,0.027818691],"category_scores_gemma":[0.0000566545,0.000057317546,0.000040929262,0.00022025942,0.00026906526,0.0001011804,0.00012776806,0.000089303736,0.0000056014824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031440044,0.00017911108,0.96500283,0.0000014771109,0.000090999805,0.00008666389,0.0014079072,0.00014499966,0.019870924,0.0019122597,0.0020190782,0.00896934],"study_design_scores_gemma":[0.0013481631,0.0001634684,0.97502846,0.000023454242,0.000014813558,0.00012698871,0.003432306,0.00045345392,0.013699166,0.0011839616,0.0044083893,0.000117378484],"about_ca_topic_score_codex":0.3319808,"about_ca_topic_score_gemma":0.46077472,"teacher_disagreement_score":0.12879391,"about_ca_system_score_codex":0.00050130766,"about_ca_system_score_gemma":0.000068889356,"threshold_uncertainty_score":0.97307},"labels":[],"label_agreement":null},{"id":"W2165078248","doi":"10.1007/s00484-010-0385-2","title":"Human body area factors for radiation exchange analysis: standing and walking postures","year":2010,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Health Canada; University of Victoria","keywords":"Physical medicine and rehabilitation; Human body; Human factors and ergonomics; Poison control; Geography; Environmental science; Aeronautics; Engineering; Medicine; Environmental health; Anatomy","score_opus":0.03514142146222513,"score_gpt":0.34798435932355704,"score_spread":0.3128429378613319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165078248","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":[0.99704707,0.000091309135,0.0005412232,0.0013396256,0.0007240845,0.000071773786,0.00003844082,0.0000051360403,0.00014135595],"genre_scores_gemma":[0.99888664,0.00007622144,0.00037060544,0.00035019292,0.00026373006,0.0000021758644,0.000023937664,0.0000060271796,0.0000204371],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918014,0.000024992436,0.00028844477,0.00011199092,0.00022645746,0.00016796685],"domain_scores_gemma":[0.99927086,0.00015008329,0.00035827307,0.000056155903,0.00005065562,0.000113959104],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049225945,0.000080439146,0.00017453157,0.00048998924,0.0000870794,0.00004089332,0.00018569482,0.000082400344,0.00092210877],"category_scores_gemma":[0.00013382694,0.00006440204,0.00008322186,0.00016168036,0.000073281815,0.0001999417,0.000058522408,0.00013010036,0.0000019124418],"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":[0.000140647,0.00008813229,0.660099,0.0000091048705,0.00043606636,0.000020097816,0.0023244277,0.000024699852,0.3168787,0.00025176897,0.0017801123,0.017947242],"study_design_scores_gemma":[0.000786458,0.00041978504,0.9877713,0.000007245877,0.00016561175,0.00006357582,0.00019443114,0.00030680033,0.0023111969,0.0018624372,0.0060060914,0.000105117964],"about_ca_topic_score_codex":0.00006703981,"about_ca_topic_score_gemma":0.00033530718,"teacher_disagreement_score":0.32767224,"about_ca_system_score_codex":0.0000819863,"about_ca_system_score_gemma":0.0000062119198,"threshold_uncertainty_score":0.9999912},"labels":[],"label_agreement":null},{"id":"W2188226126","doi":"10.1007/s00484-015-1115-6","title":"The 2 °C global warming effect on summer European tourism through different indices","year":2015,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Downscaling; Representative Concentration Pathways; Climatology; Mediterranean climate; Tourism; Climate change; Peninsula; Climate model; Environmental science; Index (typography); Geography; Global warming; Mediterranean Basin; Period (music); Physical geography; Ecology","score_opus":0.0530477265098363,"score_gpt":0.3942359343129497,"score_spread":0.3411882078031134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188226126","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":[0.8909085,0.0003740064,0.000093746225,0.021751855,0.0047321897,0.00009609838,0.000007951266,0.000016702306,0.08201896],"genre_scores_gemma":[0.99701524,0.00017902901,0.00009634964,0.00042049444,0.0019913379,0.0000012289361,0.0000013228896,0.000008144115,0.0002868465],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99642485,0.0012509153,0.00032849322,0.00013806495,0.0015215349,0.00033612532],"domain_scores_gemma":[0.9980239,0.0007584658,0.00036806052,0.00011746007,0.0005327242,0.00019938666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003064439,0.00011370958,0.00017917091,0.00018626933,0.00023178656,0.00023245122,0.001572629,0.00006969839,0.00007627672],"category_scores_gemma":[0.0013677025,0.00006978353,0.00014662168,0.00019469931,0.0004982152,0.0002728423,0.00021165544,0.00028534967,0.00015710543],"study_design_candidate":"not_applicable","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":[0.0056821373,0.0010425719,0.1311969,0.000009592504,0.0033188239,0.012310885,0.01606465,0.00011919354,0.0008516516,0.13823438,0.15167369,0.5394955],"study_design_scores_gemma":[0.0048212996,0.004832408,0.037716888,0.00008759063,0.00009339522,0.00021625608,0.007018471,0.000021867474,0.0014732747,0.041422702,0.9019159,0.00037995412],"about_ca_topic_score_codex":0.00062842236,"about_ca_topic_score_gemma":0.00022610345,"teacher_disagreement_score":0.75024223,"about_ca_system_score_codex":0.00039369208,"about_ca_system_score_gemma":0.00015584566,"threshold_uncertainty_score":0.2922362},"labels":[],"label_agreement":null},{"id":"W2237655582","doi":"10.1007/s00484-015-1132-5","title":"Spatiotemporal variability and predictability of Normalized Difference Vegetation Index (NDVI) in Alberta, Canada","year":2016,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"National Oceanic and Atmospheric Administration; National Natural Science Foundation of China","keywords":"Normalized Difference Vegetation Index; Predictability; Vegetation Index; Vegetation (pathology); Index (typography); Physical geography; Geography; Enhanced vegetation index; Environmental science; Climatology; Statistics; Climate change; Mathematics; Geology; Oceanography; Computer science","score_opus":0.0037551406087024826,"score_gpt":0.20499863939310448,"score_spread":0.20124349878440198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237655582","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":[0.99560624,0.000008022169,0.001135747,0.002445115,0.00045922084,0.00006068059,0.0000067138,0.0000015437702,0.00027673235],"genre_scores_gemma":[0.99909735,0.000013519644,0.0007517035,0.00006791467,0.00003616521,3.313356e-7,0.0000014066503,0.0000028824845,0.000028756827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863046,0.0001852129,0.0005157481,0.00014566784,0.00040938272,0.00011352861],"domain_scores_gemma":[0.9988801,0.00044913383,0.00041975954,0.00009178903,0.00009871778,0.000060489587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000513993,0.000084287756,0.00019332436,0.00008679856,0.000010786997,0.0000057396655,0.00024762965,0.0000801828,0.00013002151],"category_scores_gemma":[0.0005440827,0.000051667314,0.00003322701,0.0001257664,0.00024143059,0.00014915882,0.000092212926,0.0000963522,0.0000011819706],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015314906,0.0000541434,0.9450992,0.0000036683632,0.000024614184,0.000010169992,0.00010804199,0.00010079389,0.03368603,0.00003177289,0.000043771804,0.020684674],"study_design_scores_gemma":[0.00073739316,0.00008855635,0.99438465,0.000023724793,0.0000056371005,0.00008213892,0.000006372049,0.00044812463,0.002467337,0.0014797344,0.00022120505,0.00005512716],"about_ca_topic_score_codex":0.1745257,"about_ca_topic_score_gemma":0.39619136,"teacher_disagreement_score":0.22166567,"about_ca_system_score_codex":0.00034277563,"about_ca_system_score_gemma":0.00008584624,"threshold_uncertainty_score":0.83097124},"labels":[],"label_agreement":null},{"id":"W2265720521","doi":"10.1007/s00484-016-1134-y","title":"Integrated double mulching practices optimizes soil temperature and improves soil water utilization in arid environments","year":2016,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Gansu Agricultural University; National Natural Science Foundation of China","keywords":"Arid; Mulch; Environmental science; Agroforestry; Hydrology (agriculture); Agronomy; Ecology; Engineering; Geotechnical engineering; Biology","score_opus":0.02859796183643575,"score_gpt":0.26558820166762914,"score_spread":0.23699023983119338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265720521","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":[0.9840002,0.000096003954,0.00005835996,0.015134342,0.00051074254,0.00006500782,0.000007530983,0.000005663997,0.00012212677],"genre_scores_gemma":[0.99827254,0.00053708296,0.00020459142,0.00039591818,0.00018210382,0.0000034840148,0.000021151509,0.0000012459345,0.0003818553],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989757,0.00010810027,0.00037063335,0.00016389227,0.00022890409,0.00015275979],"domain_scores_gemma":[0.99918157,0.00014430644,0.0005052068,0.000028641203,0.00009360663,0.00004669715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005545011,0.0001031708,0.00014008008,0.000113836366,0.000046952548,0.00010954767,0.00025062758,0.00008804759,0.00021663065],"category_scores_gemma":[0.00006928631,0.000031394848,0.000042404245,0.000079951664,0.00006340148,0.0008040469,0.00010482322,0.00011797786,0.000010892055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004921301,0.00009569769,0.0036389916,0.0000016524875,0.00007971535,0.00002827859,0.00010456949,0.00002922475,0.92908293,0.00012839171,0.000056590085,0.066261806],"study_design_scores_gemma":[0.0071179066,0.0019583057,0.1576264,0.00018090635,0.00011328078,0.00049843977,0.001042441,0.00073161075,0.6106212,0.0044696825,0.21501543,0.00062438106],"about_ca_topic_score_codex":0.00014763272,"about_ca_topic_score_gemma":0.0001550754,"teacher_disagreement_score":0.31846175,"about_ca_system_score_codex":0.0000462052,"about_ca_system_score_gemma":0.0000064441238,"threshold_uncertainty_score":0.23719536},"labels":[],"label_agreement":null},{"id":"W2277144695","doi":"10.1007/s00484-015-1120-9","title":"Hourly photosynthetically active radiation estimation in Midwestern United States from artificial neural networks and conventional regressions models","year":2015,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Photosynthetically active radiation; Mean squared error; Environmental science; Artificial neural network; Overcast; Sky; Meteorology; Regression; Statistics; Mathematics; Computer science; Geography; Machine learning; Chemistry; Photosynthesis","score_opus":0.032460436679635364,"score_gpt":0.2925460361916854,"score_spread":0.26008559951205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2277144695","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":[0.5615973,0.000119733864,0.43421236,0.0028551172,0.0010969739,0.000056312383,0.000032156975,0.000012440729,0.00001760587],"genre_scores_gemma":[0.9933582,0.000068252644,0.0055919327,0.00070756924,0.0001357255,0.0000032663422,0.0001244653,0.0000064070264,0.000004163467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855494,0.00023728145,0.0005009694,0.00016934997,0.00039728018,0.00014018537],"domain_scores_gemma":[0.9984699,0.00038197465,0.0004258516,0.000098208446,0.00047525324,0.0001488369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045343136,0.000106774234,0.00017372528,0.000791817,0.000030807852,0.00012423527,0.00044553427,0.000111789115,0.000014968224],"category_scores_gemma":[0.00017585559,0.000098130084,0.000052476793,0.000327445,0.00008077562,0.00077456195,0.00008602023,0.00022739038,0.000002680745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014109779,0.00048830267,0.0069154426,0.0000026056882,0.00034225633,0.00024592775,0.003823423,0.79586107,0.0021734342,0.020611366,0.0007591059,0.16736607],"study_design_scores_gemma":[0.00095442124,0.00015942255,0.00639423,0.000015474501,0.000009218429,0.00010739341,0.00006509304,0.94493204,0.00050900556,0.046482958,0.0002858299,0.000084913954],"about_ca_topic_score_codex":0.00021049354,"about_ca_topic_score_gemma":0.0000500493,"teacher_disagreement_score":0.4317609,"about_ca_system_score_codex":0.00010416775,"about_ca_system_score_gemma":0.00009231207,"threshold_uncertainty_score":0.40016285},"labels":[],"label_agreement":null},{"id":"W2313905364","doi":"10.1007/s00484-016-1154-7","title":"Weather sensitivity for zoo visitation in Toronto, Canada: a quantitative analysis of historical data","year":2016,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Visitor pattern; Precipitation; Geography; Environmental science; Regression analysis; Wind speed; Physical geography; Demography; Meteorology; Mathematics; Statistics","score_opus":0.036589597366342715,"score_gpt":0.3312448376498293,"score_spread":0.2946552402834866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313905364","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":[0.94723475,0.00019900054,0.042335693,0.009198561,0.0005568993,0.00007812209,0.00023386076,0.0000017503513,0.00016138352],"genre_scores_gemma":[0.9958447,0.000047516238,0.0037550998,0.00019945047,0.000043170185,9.598418e-7,0.0000104793535,0.0000036981435,0.00009487924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989409,0.00010205977,0.00039053967,0.0001378697,0.00031474803,0.00011387501],"domain_scores_gemma":[0.9987724,0.00055015134,0.00041296158,0.000121961726,0.000093777875,0.000048765192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083580555,0.000057737867,0.00026515962,0.00020872278,0.000011378816,0.0000026861608,0.00028739288,0.00004187564,0.0004490098],"category_scores_gemma":[0.00023450691,0.000040715502,0.0000657917,0.00019320301,0.000051660892,0.0002570953,0.00008007711,0.000036807425,0.0000017355219],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008156477,0.00018897481,0.9263608,0.000002921706,0.00097211916,0.000052802872,0.00035291337,0.00014064483,0.03546995,0.00078551966,0.009761013,0.025096681],"study_design_scores_gemma":[0.001085796,0.00046018665,0.9824981,0.00001387501,0.00020276428,0.000019755043,0.00014260628,0.0043229754,0.00014263485,0.00032044912,0.010691454,0.00009938929],"about_ca_topic_score_codex":0.5214088,"about_ca_topic_score_gemma":0.96469253,"teacher_disagreement_score":0.4432838,"about_ca_system_score_codex":0.0024998526,"about_ca_system_score_gemma":0.00011866448,"threshold_uncertainty_score":0.6537028},"labels":[],"label_agreement":null},{"id":"W2481679243","doi":"10.1007/s00484-016-1213-0","title":"The biophysical and physiological basis for mitigated elevations in heart rate with electric fan use in extreme heat and humidity","year":2016,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Loughborough University; University of Ottawa","keywords":"Humidity; Heart rate; Animal science; Relative humidity; Evaporative cooler; Atmospheric sciences; Convection; Thermoregulation; Chemistry; Meteorology; Environmental science; Medicine; Physics; Internal medicine; Biology; Blood pressure","score_opus":0.10660148429217056,"score_gpt":0.31760778722427924,"score_spread":0.21100630293210867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2481679243","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":[0.9832751,0.00004158519,0.00009804145,0.016405523,0.000062088344,0.00009856028,0.000012713112,0.0000020706623,0.00000432199],"genre_scores_gemma":[0.998598,0.0004638837,0.00024205344,0.00062103715,0.000052371404,0.000007780914,0.0000012318646,0.0000037160569,0.000009966574],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99926215,0.00008915968,0.00023318411,0.00011732497,0.00010923547,0.00018893703],"domain_scores_gemma":[0.99900985,0.00075843796,0.00008408063,0.000043221055,0.000034730147,0.000069657544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003999857,0.000066502806,0.00013370179,0.00014334326,0.00004519232,0.000021697164,0.00010074152,0.000045912464,0.000041452276],"category_scores_gemma":[0.00024852657,0.000033259912,0.000020034964,0.0001672811,0.00018865548,0.00018787316,0.00004312637,0.00007924908,0.0000021818084],"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":[0.0006291811,0.000088751374,0.15846463,0.0000017899094,0.000013369775,0.000014130242,0.00007259701,0.000004648482,0.83455735,0.000110184046,0.0003856549,0.005657711],"study_design_scores_gemma":[0.0010010742,0.0006526718,0.9923546,0.000025677624,0.0000041402404,0.000075370335,0.000017124936,0.00022315214,0.003111529,0.0017429321,0.0007406423,0.000051093964],"about_ca_topic_score_codex":0.00009058983,"about_ca_topic_score_gemma":0.00044735632,"teacher_disagreement_score":0.83388996,"about_ca_system_score_codex":0.00010219502,"about_ca_system_score_gemma":0.000013557124,"threshold_uncertainty_score":0.13563},"labels":[],"label_agreement":null},{"id":"W2527076671","doi":"10.1007/s00484-016-1248-2","title":"When evidence of heat-related vulnerability depends on the contrast measure","year":2016,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Institut National de Santé Publique du Québec","keywords":"Contrast (vision); Percentile; Vulnerability (computing); Extreme heat; Measure (data warehouse); Statistics; Demography; Population; Econometrics; Medicine; Mathematics; Climate change; Environmental health; Computer science; Biology; Data mining; Ecology","score_opus":0.06946494269273829,"score_gpt":0.3372618247285716,"score_spread":0.2677968820358333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527076671","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":[0.93292814,0.00016286079,0.00028049047,0.06513182,0.00067182607,0.0000738601,0.000015823143,0.00000395706,0.000731244],"genre_scores_gemma":[0.99845916,0.00017403587,0.00007133235,0.0011457682,0.00009757085,0.00000187454,3.6393538e-7,0.000005229486,0.00004469338],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998437,0.00021494963,0.0005011473,0.00011738935,0.0005508912,0.00017863172],"domain_scores_gemma":[0.9981974,0.0010985567,0.0003347868,0.00014457111,0.00012595212,0.00009873213],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016626756,0.0000849112,0.00018208871,0.00011544432,0.000036807734,0.000008815838,0.0005443154,0.000078847916,0.005670314],"category_scores_gemma":[0.0009500481,0.00004130033,0.00009173859,0.000100484925,0.0002991836,0.00019016738,0.00008601432,0.00014420022,0.00010669456],"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":[0.0025539524,0.000427892,0.18535404,0.0000104983765,0.00024981817,0.00008433447,0.0013465153,0.00008522084,0.6630004,0.001091556,0.012057591,0.13373816],"study_design_scores_gemma":[0.004955415,0.0057193562,0.86614215,0.0012096268,0.00010443339,0.0012188931,0.00022550371,0.0001966499,0.073970795,0.03705239,0.008804911,0.00039984635],"about_ca_topic_score_codex":0.00007777096,"about_ca_topic_score_gemma":0.000061574305,"teacher_disagreement_score":0.68078816,"about_ca_system_score_codex":0.00020486314,"about_ca_system_score_gemma":0.00002805549,"threshold_uncertainty_score":0.99523866},"labels":[],"label_agreement":null},{"id":"W2563033877","doi":"10.1007/s00484-016-1296-7","title":"Metabolic heat production by human and animal populations in cities","year":2016,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fondazione Centro Studi Enel","keywords":"Megacity; Metropolitan area; Environmental science; Urban heat island; Latitude; Energy budget; Urban metabolism; Climate change; Geography; Environmental protection; Ecology; Meteorology; Urban planning; Biology; Urban density","score_opus":0.03639605027016403,"score_gpt":0.28303881166818934,"score_spread":0.24664276139802532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563033877","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":[0.9695794,0.00088716357,0.000002900298,0.028840039,0.00058319507,0.000031085532,0.000018948242,0.000005408176,0.00005185632],"genre_scores_gemma":[0.9989832,0.00036487286,0.00004195714,0.00021363169,0.00029722604,0.000002831061,0.0000056220565,4.1537888e-7,0.0000902165],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993521,0.00008134329,0.0002616655,0.00011140485,0.000074774885,0.00011870618],"domain_scores_gemma":[0.9996404,0.00009815525,0.000105718325,0.000014491677,0.000114348644,0.000026864966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002746798,0.00006475358,0.0001545816,0.00008113699,0.000064672815,0.000007724219,0.0001416789,0.0000856667,0.0001269023],"category_scores_gemma":[0.0000935247,0.0000221914,0.000036909212,0.00008941745,0.00020664145,0.00013911659,0.00004882432,0.000067501736,0.0000033928416],"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":[0.00007642442,0.000042973734,0.34024355,2.6082688e-7,0.000047058085,0.0000049883743,0.000028640803,1.1937134e-7,0.6453266,0.0009433344,0.0008548726,0.012431155],"study_design_scores_gemma":[0.00025550838,0.00039816104,0.98230153,0.0000071054487,0.0000091732045,0.00015579583,0.00007010732,4.566066e-7,0.0054572993,0.0033138366,0.007974372,0.000056663222],"about_ca_topic_score_codex":0.000058300422,"about_ca_topic_score_gemma":0.00063192047,"teacher_disagreement_score":0.642058,"about_ca_system_score_codex":0.000018643828,"about_ca_system_score_gemma":0.0000033242818,"threshold_uncertainty_score":0.13894913},"labels":[],"label_agreement":null},{"id":"W2586115748","doi":"10.1007/s00484-016-1284-y","title":"Different responses of influenza epidemic to weather factors among Shanghai, Hong Kong, and British Columbia","year":2017,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Outbreak; Subtropics; Geography; Context (archaeology); Temperate climate; Bivariate analysis; Humidity; Relative humidity; Generalized additive model; Extreme weather; Environmental science; Climatology; Demography; Meteorology; Medicine; Biology; Virology; Climate change; Mathematics; Ecology; Statistics","score_opus":0.07585248637478596,"score_gpt":0.3983028347415163,"score_spread":0.3224503483667303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586115748","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":[0.99718434,0.0006477373,0.000048361744,0.0011510944,0.0004968491,0.00016173313,0.00007342898,0.0000064810183,0.00022997899],"genre_scores_gemma":[0.9980711,0.00030039044,0.00030366678,0.00052259513,0.00021662627,0.000004314178,0.000001484454,0.00001596595,0.0005638826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982656,0.000113262446,0.0006303549,0.00017406755,0.0005722049,0.00024448812],"domain_scores_gemma":[0.9976359,0.0004064855,0.00063707604,0.00021837381,0.00089585583,0.0002062866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062215177,0.00011395671,0.00054562895,0.0004813411,0.00012347483,0.00014516819,0.00048608892,0.00011285447,0.0002491459],"category_scores_gemma":[0.0039478308,0.000115785915,0.0001493287,0.000060141738,0.000594303,0.00019650946,0.00035325534,0.0002612023,0.0000036057875],"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":[0.00087609136,0.00008944514,0.9684926,0.000017009894,0.00071498903,0.00022655184,0.0002721934,9.4570606e-7,0.019501645,0.00001175332,0.0014988381,0.008297912],"study_design_scores_gemma":[0.0017285289,0.0008989588,0.99169576,0.00022956613,0.0000564068,0.0002717221,0.00010804842,0.000008987975,0.001750591,0.0002723937,0.0028941582,0.00008490352],"about_ca_topic_score_codex":0.0034764844,"about_ca_topic_score_gemma":0.0030009681,"teacher_disagreement_score":0.023203108,"about_ca_system_score_codex":0.00010576685,"about_ca_system_score_gemma":0.00007411065,"threshold_uncertainty_score":0.5255428},"labels":[],"label_agreement":null},{"id":"W2612072752","doi":"10.1007/s00484-017-1368-3","title":"Measuring facial cooling in outdoor windy winter conditions: an exploratory study","year":2017,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Environmental science; Geography; Meteorology; Climatology; Physical geography; Atmospheric sciences; Geology","score_opus":0.07026160645297799,"score_gpt":0.36392714865458814,"score_spread":0.2936655422016101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612072752","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":[0.9946703,0.000031520452,0.0013185277,0.0008852314,0.002656329,0.0001490791,0.00000650866,0.000009247391,0.00027327577],"genre_scores_gemma":[0.9985431,0.000007479756,0.00009145827,0.00027882677,0.0010166442,0.0000065045206,0.000006948534,0.000009724021,0.00003933177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987331,0.00010514651,0.0005335253,0.00012980805,0.0003724471,0.00012596797],"domain_scores_gemma":[0.99850434,0.000040674793,0.0005329721,0.00015840263,0.00068497425,0.00007865591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087635213,0.00009368648,0.0002686019,0.0008416519,0.000098262986,0.00008136173,0.0002831105,0.000077169374,0.00018103844],"category_scores_gemma":[0.0003485039,0.000082642335,0.00010536504,0.00004730953,0.00007849757,0.0006025475,0.00005171481,0.00024460658,0.000021103413],"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":[0.0029380599,0.001389343,0.95806026,0.0000055619535,0.00055087963,0.00086446805,0.0017431508,0.00010334363,0.021951152,0.000101238824,0.00007491772,0.012217605],"study_design_scores_gemma":[0.0068094446,0.0014694341,0.98747796,0.00006240428,0.00007487745,0.00053352,0.00074834214,0.00055140187,0.00095702976,0.0002887048,0.00093697454,0.00008991116],"about_ca_topic_score_codex":0.00002297241,"about_ca_topic_score_gemma":0.00018547432,"teacher_disagreement_score":0.029417675,"about_ca_system_score_codex":0.00011829274,"about_ca_system_score_gemma":0.00009407871,"threshold_uncertainty_score":0.33700567},"labels":[],"label_agreement":null},{"id":"W2612949540","doi":"10.1007/s00484-017-1364-7","title":"Differences in the importance of weather and weather-based decisions among campers in Ontario parks (Canada)","year":2017,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Waterloo; University of Toronto","funders":"","keywords":"Recreation; Tourism; Extreme weather; Geography; Demographics; Adverse weather; Climate change; Weather patterns; Environmental science; Demography; Meteorology; Ecology","score_opus":0.025041783066819742,"score_gpt":0.266016048716707,"score_spread":0.24097426564988722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612949540","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":[0.99431884,0.000047832607,0.00004593017,0.004846177,0.00017336186,0.00005012228,0.000003803136,4.135207e-7,0.0005135175],"genre_scores_gemma":[0.9990708,0.00003154641,0.00028300166,0.0005419249,0.000018294868,0.0000017041716,4.7680336e-7,0.0000027195388,0.000049533806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903196,0.000059225466,0.00031637977,0.000098569006,0.00037001236,0.00012386893],"domain_scores_gemma":[0.99918026,0.0001976912,0.00042251783,0.00013710638,0.000019686242,0.000042721163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005271089,0.000066218214,0.00016654935,0.00011836429,0.00004478434,0.00001969768,0.0006470092,0.000049235732,0.00040431187],"category_scores_gemma":[0.000085806336,0.00004284449,0.000032555523,0.000045921744,0.00029909864,0.00011633398,0.000061167055,0.00019704307,8.31761e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068121844,0.000047734997,0.9979134,3.7802607e-7,0.0000121459125,0.00007469467,0.0004219068,0.000013764527,0.00023954753,0.000037948204,0.00022917206,0.00094119407],"study_design_scores_gemma":[0.0005124858,0.00011782781,0.9977754,0.000021141825,0.000004158687,0.00002082409,0.00015169881,0.000090644666,0.000017076465,0.00050462486,0.00074427447,0.00003988144],"about_ca_topic_score_codex":0.6867897,"about_ca_topic_score_gemma":0.99622065,"teacher_disagreement_score":0.3094309,"about_ca_system_score_codex":0.00020200304,"about_ca_system_score_gemma":0.00015496912,"threshold_uncertainty_score":0.44269314},"labels":[],"label_agreement":null},{"id":"W2615862631","doi":"10.1007/s00484-017-1353-x","title":"Investigation of the scaling characteristics of LANDSAT temperature and vegetation data: a wavelet-based approach","year":2017,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vegetation (pathology); Remote sensing; Wavelet; Environmental science; Geography; Scaling; Physical geography; Computer science; Artificial intelligence; Mathematics; Medicine","score_opus":0.024097670145397394,"score_gpt":0.25741456020096803,"score_spread":0.23331689005557063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615862631","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":[0.9976724,0.000036428584,0.0002775924,0.0011659192,0.00049567025,0.000033476023,0.0000056098634,0.0000010038334,0.00031189402],"genre_scores_gemma":[0.9958665,0.0000144207015,0.0038419545,0.00014817003,0.00010979784,6.0213274e-8,0.000010307494,0.0000034741308,0.0000053563435],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992775,0.00005364032,0.00027278962,0.00008804553,0.0002555954,0.000052472267],"domain_scores_gemma":[0.9988506,0.000055220524,0.00079060096,0.00020362299,0.00007552641,0.000024465824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037238075,0.000052663447,0.00012941951,0.00006806495,0.000056162888,0.000023907076,0.00049964915,0.000065557244,0.0000028441493],"category_scores_gemma":[0.0001978962,0.000033395994,0.000034044584,0.000044065702,0.00039063656,0.00015695416,0.0001640454,0.000105386964,3.9275494e-7],"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":[0.00014057982,0.000044191424,0.40932515,0.000027324582,0.000119445955,0.000009423576,0.0004993647,0.00010141192,0.50951165,0.00008590702,0.00009380352,0.08004176],"study_design_scores_gemma":[0.00038775313,0.00004143404,0.98036504,0.00004282678,0.00002849175,0.00007704728,0.000018105195,0.0029270812,0.015662389,0.00029372468,0.00012145953,0.00003466845],"about_ca_topic_score_codex":0.00007366418,"about_ca_topic_score_gemma":0.000029214192,"teacher_disagreement_score":0.57103986,"about_ca_system_score_codex":0.000020067744,"about_ca_system_score_gemma":0.000021833252,"threshold_uncertainty_score":0.14393167},"labels":[],"label_agreement":null},{"id":"W2648025863","doi":"10.1007/s00484-017-1391-4","title":"The timing of bud break in warming conditions: variation among seven sympatric conifer species from Eastern Canada","year":2017,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Forest Service; Natural Resources Canada; Université du Québec à Chicoutimi","funders":"","keywords":"Phenology; Annual growth cycle of grapevines; Biology; Sympatric speciation; Abies balsamea; Shoot; Seedling; Climate change; Herbivore; Bud; Botany; Ecology; Balsam","score_opus":0.009329049224070966,"score_gpt":0.22835764526878052,"score_spread":0.21902859604470956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2648025863","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":[0.99654263,0.000029991832,0.0003377038,0.0010692154,0.00077281427,0.000037607162,0.00006648919,0.0000012844214,0.0011422324],"genre_scores_gemma":[0.99952966,0.000043944092,0.00012080374,0.00006108808,0.00007657554,0.0000012570655,0.000012910234,0.000003876101,0.00014988892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999021,0.000053074986,0.00040359152,0.00008401163,0.00033165488,0.0001066791],"domain_scores_gemma":[0.9989112,0.00020343029,0.0006736959,0.000121220306,0.000057075707,0.000033372795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029014406,0.000064574735,0.00012043187,0.00010670561,0.00009939266,0.00005902272,0.00059305585,0.000049970247,0.00022181973],"category_scores_gemma":[0.000081218874,0.000048564747,0.00004248105,0.000051456038,0.00018201105,0.00026793504,0.00012544933,0.00011737391,0.0000044487074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049050763,0.000026772728,0.9868722,7.4782054e-7,0.000102084574,0.000077358876,0.00022834909,0.006089949,0.004297228,0.00018377014,0.00013530206,0.0019372107],"study_design_scores_gemma":[0.000385173,0.000023878896,0.9808762,0.000016661217,0.0000141144155,0.000045488443,0.00003776416,0.016122695,0.00025015214,0.001126699,0.0010489181,0.0000522453],"about_ca_topic_score_codex":0.17970422,"about_ca_topic_score_gemma":0.19077891,"teacher_disagreement_score":0.011074686,"about_ca_system_score_codex":0.00022516403,"about_ca_system_score_gemma":0.000051031453,"threshold_uncertainty_score":0.8257582},"labels":[],"label_agreement":null},{"id":"W2738588573","doi":"10.1007/s00484-017-1408-z","title":"Supporting sustainability initiatives through biometeorology education and training","year":2017,"lang":"en","type":"review","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Biometeorology; Sustainability; Public relations; Environmental planning; Medical education; Political science; Engineering ethics; Engineering; Geography; Medicine; Ecology","score_opus":0.17513935985203738,"score_gpt":0.5039827091359536,"score_spread":0.3288433492839162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738588573","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033681684,0.988834,0.000101144615,0.0021176625,0.0026656422,0.00034399488,0.00005955888,0.000011127061,0.002498706],"genre_scores_gemma":[0.0059309406,0.99177325,0.00092091574,0.00048663735,0.0007270647,0.000017969458,0.000046727444,0.000026751597,0.00006972031],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99727035,0.0003419155,0.0012502503,0.00033658202,0.00034822657,0.0004526953],"domain_scores_gemma":[0.99571306,0.0005156949,0.003144962,0.00023302036,0.00020057402,0.00019271034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015766941,0.0002974071,0.0012495887,0.00057775225,0.00014668275,0.000081292375,0.00082834763,0.0003755872,0.00081610924],"category_scores_gemma":[0.001579934,0.00023867402,0.00027148527,0.00017621505,0.00065416674,0.0008131324,0.00039750122,0.00046625722,0.00003209978],"study_design_candidate":"design_other","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":[0.000026633603,0.000100482415,0.00045606765,0.0004911884,0.00012823255,0.00007212894,0.0013949277,2.2207392e-7,0.000004254116,0.00013346058,0.00054923457,0.9966432],"study_design_scores_gemma":[0.00026114844,0.00038771957,0.0008470619,0.0007467878,0.0002006444,0.002237838,0.00041555977,0.0000018638169,0.0000013969498,0.0068336646,0.9878689,0.00019739839],"about_ca_topic_score_codex":0.00008891831,"about_ca_topic_score_gemma":0.000026495443,"teacher_disagreement_score":0.9964458,"about_ca_system_score_codex":0.00059676333,"about_ca_system_score_gemma":0.00060251774,"threshold_uncertainty_score":0.9732844},"labels":[],"label_agreement":null},{"id":"W2756445677","doi":"10.1007/s00484-017-1435-9","title":"The impact of sustained hot weather on risk of acute work-related injury in Melbourne, Australia","year":2017,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Work & Health","funders":"Australian Research Council; Canadian Institutes of Health Research; Health Canada; Department of Health, State Government of Victoria; State Government of Victoria; Australian Government","keywords":"Percentile; Confidence interval; Odds ratio; Medicine; Injury prevention; Hot weather; Demography; Poison control; Occupational safety and health; Metropolitan area; Environmental health; Geography; Meteorology; Statistics; Internal medicine; Mathematics","score_opus":0.034314038102545595,"score_gpt":0.3857182065865775,"score_spread":0.35140416848403194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756445677","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":[0.9968556,0.000027169157,0.0000061339256,0.0020718812,0.00045807255,0.0000748243,0.000056367593,0.0000014014615,0.0004485347],"genre_scores_gemma":[0.99913466,0.00052606326,0.00005767187,0.000039395523,0.00005724253,9.912329e-7,0.000001819705,0.0000071116806,0.00017502074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862826,0.0001122099,0.00059675414,0.00009253862,0.00033295224,0.00023727647],"domain_scores_gemma":[0.997933,0.00016784876,0.0015137309,0.00021118535,0.000084146355,0.00009014709],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010557579,0.0001016861,0.00024485332,0.00024366532,0.0000731339,0.00002378731,0.00079538114,0.00010612348,0.0009530445],"category_scores_gemma":[0.00026073057,0.00006154092,0.00016698145,0.00012465422,0.00036561306,0.0001628661,0.00013436834,0.00025767842,0.000026267522],"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":[0.0041704657,0.00029020675,0.9527656,0.0000025866475,0.0006073929,0.000097761105,0.0007450943,0.00027267917,0.01625261,0.00015382348,0.00419437,0.020447452],"study_design_scores_gemma":[0.0010062943,0.001145811,0.9930503,0.00004179307,0.000029847653,0.000038037815,0.000036231086,0.000038353315,0.0015671505,0.002833158,0.00015786242,0.000055154593],"about_ca_topic_score_codex":0.0009885178,"about_ca_topic_score_gemma":0.00009113102,"teacher_disagreement_score":0.04028475,"about_ca_system_score_codex":0.0002370267,"about_ca_system_score_gemma":0.000033222674,"threshold_uncertainty_score":0.99996024},"labels":[],"label_agreement":null},{"id":"W2769056751","doi":"10.1007/s00484-017-1472-4","title":"Projections for the changes in growing season length of tree-ring formation on the Tibetan Plateau based on CMIP5 model simulations","year":2017,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Russian Science Foundation; Riksbankens Jubileumsfond; National Natural Science Foundation of China; Kungl. Vitterhets Historie och Antikvitets Akademien; Alexander von Humboldt-Stiftung","keywords":"Coupled model intercomparison project; Plateau (mathematics); Representative Concentration Pathways; Climate change; Climatology; Environmental science; Mean radiant temperature; Physical geography; Global warming; Growing season; Geography; Climate model; Mathematics; Ecology; Geology; Biology","score_opus":0.05920687801045446,"score_gpt":0.310391718405053,"score_spread":0.25118484039459854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769056751","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":[0.9794328,0.000036938865,0.002660615,0.016437268,0.000564878,0.0001975757,0.0001626962,0.0000058610935,0.0005013652],"genre_scores_gemma":[0.9990802,0.000029954537,0.00046629045,0.0002604456,0.0001267016,0.0000026576827,0.000012766544,0.0000036909726,0.00001733304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990886,0.00008760031,0.0002872933,0.00008879422,0.0003052424,0.00014246901],"domain_scores_gemma":[0.9971193,0.002043805,0.00049043045,0.0001652687,0.00015526124,0.000025938298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007731738,0.00008599373,0.0001352417,0.000498785,0.0002473493,0.000071168644,0.000572793,0.000053877076,0.00005204846],"category_scores_gemma":[0.0005925629,0.00004950155,0.000085295294,0.00008419583,0.00009767525,0.00029415666,0.000013990276,0.0001536265,0.0000030643791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018296773,0.00008433876,0.040351715,0.000011631118,0.00013696564,0.000008475098,0.00041453482,0.8738619,0.002322695,0.0012608148,0.00006278193,0.079654485],"study_design_scores_gemma":[0.0006356416,0.00040498958,0.13840027,0.000058345144,0.000020315387,0.000016539701,0.00009087966,0.857506,0.0018314221,0.0006309917,0.00035359358,0.00005104368],"about_ca_topic_score_codex":0.00014073947,"about_ca_topic_score_gemma":0.0031631617,"teacher_disagreement_score":0.09804856,"about_ca_system_score_codex":0.000025041649,"about_ca_system_score_gemma":0.000058556245,"threshold_uncertainty_score":0.20186146},"labels":[],"label_agreement":null},{"id":"W2775431265","doi":"10.1007/s00484-017-1485-z","title":"Weather conditions influence the number of psychiatric emergency room patients","year":2017,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Berlin Institute of Health; Canadian Institutes of Health Research; Charité – Universitätsmedizin Berlin","keywords":"Medicine; Demography","score_opus":0.02364392533366068,"score_gpt":0.35962913497996785,"score_spread":0.3359852096463072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775431265","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":[0.9889625,0.00002804955,0.000024624434,0.0053271395,0.0015776347,0.00005317514,0.00004053387,0.0000017963035,0.003984589],"genre_scores_gemma":[0.9989299,0.00021115212,0.00017321236,0.00043319238,0.00015579344,0.0000018296807,0.000003018291,0.000005124193,0.00008675183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990006,0.000039315077,0.00040526254,0.00007615622,0.00034010402,0.00013852802],"domain_scores_gemma":[0.9986607,0.000046982794,0.0009089848,0.00018138328,0.00013226604,0.00006968685],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026845577,0.000066116736,0.000116380856,0.00007855768,0.00014179733,0.00001674709,0.000824901,0.000050003822,0.005340659],"category_scores_gemma":[0.00017907802,0.000043775144,0.00007992658,0.00006719891,0.00014651411,0.00027091132,0.0001497662,0.00010793613,0.00018862235],"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":[0.00005213594,0.00017008126,0.98992056,0.0000019587796,0.000033814038,0.0000043926752,0.00018798842,0.000021308944,0.0010964911,0.00018291266,0.0054114293,0.0029169098],"study_design_scores_gemma":[0.0004488319,0.00014523254,0.9879797,0.000007583722,0.000016113347,0.00004764294,0.000017875282,0.00001218023,0.00010012389,0.006883758,0.0042988197,0.00004211053],"about_ca_topic_score_codex":0.00015457915,"about_ca_topic_score_gemma":0.000050690127,"teacher_disagreement_score":0.009967469,"about_ca_system_score_codex":0.000051870946,"about_ca_system_score_gemma":0.000013407795,"threshold_uncertainty_score":0.9955686},"labels":[],"label_agreement":null},{"id":"W2785832913","doi":"10.1007/s00484-018-1506-6","title":"Fair weather voters: do Canadians stay at home when the weather is bad?","year":2018,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Turnout; Precipitation; Bivariate analysis; Environmental science; Voter turnout; Meteorology; National weather service; Climatology; Demographic economics; Geography; Political science; Statistics; Mathematics; Economics; Law","score_opus":0.026539664647949126,"score_gpt":0.3350440038231079,"score_spread":0.3085043391751588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785832913","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":[0.9098579,0.00018229749,0.00044459774,0.07744453,0.0029594628,0.000096869524,0.000034466302,0.000010632725,0.008969226],"genre_scores_gemma":[0.9903754,0.000013118566,0.00010523103,0.002986939,0.0025459977,0.0000029764908,0.0000011555165,0.0000094039815,0.003959753],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839795,0.00029195656,0.0003669709,0.00011343423,0.0005099083,0.00031979813],"domain_scores_gemma":[0.9986533,0.0001987399,0.00026168223,0.00010502977,0.0006077913,0.00017346919],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008705479,0.00008625983,0.00015623722,0.00020345738,0.00020769131,0.000084492094,0.0005644969,0.000117066884,0.0042148405],"category_scores_gemma":[0.00013027429,0.000057533638,0.00011227213,0.00014229625,0.0005437775,0.00016193137,0.00004187836,0.00012018451,0.00022131545],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008743724,0.00033287692,0.3308032,0.000008960983,0.0022188302,0.00019292894,0.11871851,0.0000072925127,0.016460741,0.2180317,0.26981243,0.04253814],"study_design_scores_gemma":[0.00052984356,0.0005079445,0.021558117,0.000023796514,0.00004280828,0.00007692165,0.0006688746,0.000026682337,0.00046963865,0.034936406,0.94100386,0.00015512684],"about_ca_topic_score_codex":0.022491466,"about_ca_topic_score_gemma":0.0364209,"teacher_disagreement_score":0.6711914,"about_ca_system_score_codex":0.00036531046,"about_ca_system_score_gemma":0.0001797089,"threshold_uncertainty_score":0.99669546},"labels":[],"label_agreement":null},{"id":"W2788594253","doi":"10.1007/s00484-018-1499-1","title":"Is extreme climate or moderate climate more conducive to longevity in China?","year":2018,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Science Foundation of Jiangsu Province","keywords":"Longevity; China; Plateau (mathematics); Geography; Climate change; Population; Demography; Range (aeronautics); Physical geography; Mortality rate; Ecology; Climatology; Biology; Gerontology; Medicine; Geology","score_opus":0.0920586130006049,"score_gpt":0.3837813756934739,"score_spread":0.291722762692869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788594253","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":[0.9804181,0.00003691199,0.00014278032,0.017026138,0.0010727639,0.0001251928,0.0000925205,0.000008465745,0.00107714],"genre_scores_gemma":[0.9884674,0.00044222747,0.001327077,0.009290296,0.00039409738,0.0000041753815,0.000005255786,0.000014488355,0.000054970726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981195,0.00007965224,0.00061378075,0.00024054559,0.0004313513,0.0005152022],"domain_scores_gemma":[0.9990577,0.000074071424,0.00035988237,0.00014658795,0.000103484046,0.00025828226],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000850948,0.00015333916,0.0002993883,0.00043616243,0.00006962363,0.000040747498,0.0005223226,0.00010737169,0.006664351],"category_scores_gemma":[0.00012885188,0.00011773244,0.000071257506,0.00034274682,0.0002091122,0.00033514117,0.0003476457,0.0001923739,0.0006249516],"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":[0.018616514,0.0013799602,0.67424107,0.00006861153,0.0002488954,0.0026486116,0.026696933,0.00052581436,0.12134144,0.0003156834,0.037046917,0.11686954],"study_design_scores_gemma":[0.0031920634,0.0030035751,0.96183014,0.00018584546,0.000032631746,0.001318449,0.00036925828,0.0027459518,0.010130946,0.0018032488,0.014961806,0.000426064],"about_ca_topic_score_codex":0.00018500346,"about_ca_topic_score_gemma":0.0007670944,"teacher_disagreement_score":0.28758907,"about_ca_system_score_codex":0.00030713738,"about_ca_system_score_gemma":0.00002969855,"threshold_uncertainty_score":0.9942437},"labels":[],"label_agreement":null},{"id":"W2792711132","doi":"10.1007/s00484-018-1522-6","title":"Determining the K coefficient to leaf area index estimations in a tropical dry forest","year":2018,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Inter-American Institute for Global Change Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Leaf area index; Normalized Difference Vegetation Index; Environmental science; Photosynthetically active radiation; Atmospheric sciences; Vegetation (pathology); Canopy; Phenology; Tropical and subtropical dry broadleaf forests; Enhanced vegetation index; Remote sensing; Ecology; Geography; Vegetation Index; Biology; Botany; Agroforestry; Photosynthesis; Geology","score_opus":0.011993629424489229,"score_gpt":0.2706648301344958,"score_spread":0.2586712007100066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792711132","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":[0.9759731,0.000003633835,0.01657544,0.005484993,0.000894509,0.00007316931,0.0000019259928,0.0000049901173,0.0009882281],"genre_scores_gemma":[0.993531,0.0000016869203,0.004975392,0.0012025965,0.00023851842,7.000203e-7,0.0000011926152,0.000005101239,0.000043827386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988841,0.00006735384,0.0003494736,0.00012642835,0.0004057216,0.00016691315],"domain_scores_gemma":[0.9993916,0.00014883971,0.00018349706,0.000099085344,0.000108105596,0.00006886454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022838623,0.000083370025,0.000119026336,0.00020399921,0.00005127887,0.000038072532,0.0005558316,0.00006691139,0.00020514945],"category_scores_gemma":[0.00031172036,0.000050498347,0.000056262917,0.00032447014,0.0002788405,0.00009414757,0.0001745578,0.0001759696,0.00012206275],"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":[0.000118312964,0.0001503214,0.9532202,4.4499498e-7,0.00003531385,0.00006258532,0.0008446021,0.013518346,0.004299232,0.00009619452,0.0030444856,0.024609957],"study_design_scores_gemma":[0.00040069764,0.00029650933,0.9797577,0.000014220857,0.0000057314032,0.00017892032,0.000040793188,0.012789139,0.00025832924,0.0003642066,0.0058327722,0.0000609713],"about_ca_topic_score_codex":0.000043437518,"about_ca_topic_score_gemma":0.0007731002,"teacher_disagreement_score":0.026537504,"about_ca_system_score_codex":0.00021168552,"about_ca_system_score_gemma":0.000016608585,"threshold_uncertainty_score":0.22462426},"labels":[],"label_agreement":null},{"id":"W2795236251","doi":"10.1007/s00484-018-1530-6","title":"The effect of hot days on occupational heat stress in the manufacturing industry: implications for workers’ well-being and productivity","year":2018,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Eidgenössische Technische Hochschule Zürich; European Commission","keywords":"Productivity; Heat stress; Business; Occupational stress; Occupational safety and health; Labour economics; Demographic economics; Environmental science; Psychology; Economics; Medicine; Economic growth; Clinical psychology; Animal science","score_opus":0.03197943009193854,"score_gpt":0.3512505788109733,"score_spread":0.3192711487190348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795236251","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":[0.98524415,0.000024388397,0.00006755738,0.013831784,0.0003213091,0.00018851807,0.000019489538,0.0000014581412,0.00030131877],"genre_scores_gemma":[0.9992711,0.000026005233,0.00006608195,0.00029349263,0.00031570825,0.000012067088,0.0000038257103,0.0000038031135,0.000007903245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992011,0.00011364044,0.0002445239,0.00010192182,0.00019107808,0.00014769679],"domain_scores_gemma":[0.99870485,0.0009404763,0.0001867165,0.00009639552,0.00003382628,0.000037752037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011196865,0.00006718329,0.000104824474,0.00011242225,0.00011450579,0.000022661288,0.0003083257,0.00006631312,0.00004432691],"category_scores_gemma":[0.00017583519,0.000037189064,0.000033427597,0.00009324972,0.00024393981,0.0000968077,0.000060244736,0.00017436034,0.0000030346753],"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":[0.0016493531,0.00009222678,0.9514387,0.000010457575,0.00004901149,0.0000030264887,0.0009199044,0.0001286673,0.0073225535,0.0002469218,0.0018705784,0.036268547],"study_design_scores_gemma":[0.0005432842,0.0011122276,0.9789745,0.000030641317,0.000010359172,0.00006823218,0.00006968887,0.000041160674,0.01567965,0.0014970253,0.0019344708,0.000038742368],"about_ca_topic_score_codex":0.00006260702,"about_ca_topic_score_gemma":0.00016205104,"teacher_disagreement_score":0.036229804,"about_ca_system_score_codex":0.000079500904,"about_ca_system_score_gemma":0.0000117843565,"threshold_uncertainty_score":0.1516526},"labels":[],"label_agreement":null},{"id":"W2810589080","doi":"10.1007/s00484-018-1546-y","title":"Modern pollen distribution in the northeastern Indian Ocean and its significance","year":2018,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Pollen; Distribution (mathematics); Geography; Indian ocean; Oceanography; Physical geography; Ecology; Biology; Geology; Mathematics","score_opus":0.01757001911330577,"score_gpt":0.26996031531021697,"score_spread":0.2523902961969112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810589080","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":[0.9920585,0.00052616117,0.000081759936,0.006411093,0.00046079617,0.000051363844,0.000045221575,0.0000020480577,0.00036302287],"genre_scores_gemma":[0.9991744,0.00009721233,0.000028888528,0.0004313078,0.00022199516,1.9528291e-7,0.0000283337,9.63277e-7,0.000016695798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999023,0.00024450241,0.0002373836,0.00010073843,0.00021479404,0.00017954034],"domain_scores_gemma":[0.9993144,0.00026474355,0.00013608024,0.000053661923,0.00018289233,0.000048195787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008188765,0.000062254556,0.00011701842,0.00023620589,0.000065551474,0.000021765447,0.00045739062,0.00008752521,0.00023786516],"category_scores_gemma":[0.0000984274,0.000040392348,0.000029091674,0.00014725034,0.00028646042,0.00012485287,0.000015207418,0.00021520065,0.00005013981],"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":[0.00022767558,0.000016517151,0.99385273,0.000001663715,0.00003428895,0.00016813174,0.0005649549,0.000019402405,0.000026043957,0.00011338264,0.00004338761,0.004931807],"study_design_scores_gemma":[0.0004511161,0.0004508277,0.9906834,0.0000066646885,0.000005567696,0.0018519841,0.00014368455,0.0020035682,0.000059622365,0.0036299923,0.00066563784,0.00004794521],"about_ca_topic_score_codex":0.0000698146,"about_ca_topic_score_gemma":0.001790266,"teacher_disagreement_score":0.0071158744,"about_ca_system_score_codex":0.000001997107,"about_ca_system_score_gemma":0.000049348717,"threshold_uncertainty_score":0.26044565},"labels":[],"label_agreement":null},{"id":"W2891929759","doi":"10.1007/s00484-018-1602-7","title":"Short communication: thermal regimes in hollow stems of herbaceous plants—concepts and models","year":2018,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Herbaceous plant; Emissivity; Evapotranspiration; Greenhouse; Atmospheric sciences; Atmosphere (unit); Environmental science; Thermal conductivity; Thermal; Volume (thermodynamics); Absorption (acoustics); Materials science; Botany; Optics; Thermodynamics; Physics; Composite material; Ecology; Biology","score_opus":0.04139157127046313,"score_gpt":0.2729180403494311,"score_spread":0.23152646907896798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891929759","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":[0.99470514,0.0014543234,0.000008250843,0.0026965044,0.00023774512,0.000044347424,0.000008003059,0.0000026994749,0.00084300555],"genre_scores_gemma":[0.9991578,0.0002566509,0.00015334832,0.00018318022,0.00020772571,0.0000012474922,0.0000030863303,6.3030745e-7,0.000036360532],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991439,0.00010726973,0.00034323498,0.00008235985,0.00022890436,0.00009435874],"domain_scores_gemma":[0.9993871,0.00008782086,0.00017558919,0.00003925689,0.00027363902,0.000036623842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004631522,0.000063473184,0.00016133812,0.00005026352,0.000027658123,0.000016806083,0.0003928894,0.00006314373,0.000068257534],"category_scores_gemma":[0.000019511503,0.000025335323,0.000045365097,0.000077495446,0.00020056247,0.00013623295,0.000079256344,0.00008718339,0.0000015651726],"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":[0.0011437745,0.0002908202,0.05922224,0.00000531032,0.00024841927,0.000038483122,0.0011956121,0.000057050533,0.5380016,0.0011072117,0.00046532124,0.39822417],"study_design_scores_gemma":[0.0031080132,0.0066746026,0.8618061,0.00037900248,0.000052995234,0.0011510375,0.0028547,0.0017147558,0.07987335,0.010892238,0.030899959,0.000593234],"about_ca_topic_score_codex":0.00011670761,"about_ca_topic_score_gemma":0.00011578343,"teacher_disagreement_score":0.8025839,"about_ca_system_score_codex":0.000021745243,"about_ca_system_score_gemma":0.000009446405,"threshold_uncertainty_score":0.103314444},"labels":[],"label_agreement":null},{"id":"W2907153963","doi":"10.1007/s00484-018-1645-9","title":"Response of stigma receptivity in CMS and male fertile line of Indian mustard (B. juncea) under variable thermal conditions","year":2019,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McMaster University","keywords":"Sowing; Pusa; Anthesis; Brassica; Biology; Pollen; Phenology; Horticulture; Forensic science; Pollination; Germination; Open pollination; Field experiment; Agronomy; Botany; Cultivar","score_opus":0.01599208850509572,"score_gpt":0.251874991880076,"score_spread":0.23588290337498027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907153963","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":[0.99777997,0.00007437641,0.0000050953795,0.0016106508,0.00021502428,0.000046695655,0.00012314449,0.000001858469,0.00014318203],"genre_scores_gemma":[0.9995345,0.00004020122,0.00008283799,0.0001768226,0.00004003527,0.0000012020053,0.000020312491,4.375359e-7,0.00010364678],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99919564,0.00017879334,0.00032140923,0.0000858572,0.00013068326,0.00008762948],"domain_scores_gemma":[0.9987719,0.00062425673,0.0003223162,0.000022120374,0.00023499137,0.000024426798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004723044,0.000059132333,0.00021629393,0.000097032746,0.000029136858,0.0000032842543,0.00016094478,0.00008295112,0.0007215101],"category_scores_gemma":[0.00010116226,0.000027606271,0.00004437721,0.00017804181,0.00014428371,0.00010663922,0.0000582067,0.000098135184,0.000003152824],"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":[0.0014668815,0.00011795786,0.058924932,0.0000028733764,0.0000859569,0.000006188854,0.0001307469,0.0001331906,0.9379869,0.00030987032,0.000083046405,0.00075143366],"study_design_scores_gemma":[0.00049535994,0.00063007354,0.9784008,0.000032199303,0.000006516838,0.0000664719,0.00030348508,0.000017714709,0.018258782,0.0012889324,0.00044996696,0.00004969309],"about_ca_topic_score_codex":0.000039635957,"about_ca_topic_score_gemma":0.000040245734,"teacher_disagreement_score":0.91972816,"about_ca_system_score_codex":0.000014103399,"about_ca_system_score_gemma":0.000018845749,"threshold_uncertainty_score":0.790003},"labels":[],"label_agreement":null},{"id":"W2912825825","doi":"10.1007/s00484-019-01676-3","title":"Evidence for the therapeutic effect of the organic content in Szigetvár thermal water on osteoarthritis: a double-blind, randomized, controlled clinical trial","year":2019,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Therapeutic Uses of Natural Elements","field":"Health Professions","cited_by":24,"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":"Általános Orvostudományi Kar, Pécsi Tudományegyetem; Pécsi Tudományegyetem; Emberi Eroforrások Minisztériuma","keywords":"WOMAC; Tap water; Osteoarthritis; Visual analogue scale; Randomization; Randomized controlled trial; Water treatment; Mineral water; Medicine; Physical therapy; Surgery; Environmental engineering; Environmental science; Pathology","score_opus":0.21838977566343942,"score_gpt":0.4971940271145221,"score_spread":0.2788042514510827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912825825","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":[0.9630792,0.001912933,0.00004715502,0.013071148,0.013559595,0.0082599,0.000006734391,0.0000057123343,0.000057585417],"genre_scores_gemma":[0.9950214,0.00028949376,0.000015795722,0.0031785732,0.00081857236,0.00033784792,0.0000018960319,0.000021624346,0.00031480228],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99197406,0.0042637265,0.00250785,0.00020576458,0.00068211864,0.00036647433],"domain_scores_gemma":[0.96322054,0.034005843,0.001729799,0.00030019332,0.00069495745,0.000048666498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01348893,0.00020950516,0.0014927054,0.00030830342,0.00009815779,0.000016641088,0.0012999966,0.00028301144,0.00072167447],"category_scores_gemma":[0.0019970997,0.00007811813,0.001062362,0.00011387792,0.0002645169,0.00011140168,0.00016458782,0.0009628756,0.000058275135],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9729996,0.00014768145,0.0060962248,0.000016808188,0.0016199246,0.000003502437,0.00034100228,0.000013840586,0.011156035,0.00028584388,0.000028339153,0.0072912],"study_design_scores_gemma":[0.9879913,0.0055353194,0.003165423,0.00040856807,0.00033492944,0.0000112668495,0.00009699799,0.00006218404,0.0014949817,0.00027146193,0.0005433387,0.000084235755],"about_ca_topic_score_codex":0.000034949375,"about_ca_topic_score_gemma":0.00005664041,"teacher_disagreement_score":0.031942155,"about_ca_system_score_codex":0.00013889612,"about_ca_system_score_gemma":0.00026061173,"threshold_uncertainty_score":0.7901829},"labels":[],"label_agreement":null},{"id":"W2913747334","doi":"10.1007/s00484-018-01663-0","title":"The heat penalty of walkable neighbourhoods","year":2019,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Urban heat island; Geography; Poison control; Environmental science; Environmental health; Transport engineering; Built environment; Civil engineering; Mathematics; Meteorology; Engineering; Medicine","score_opus":0.01438742852935317,"score_gpt":0.29798432938836117,"score_spread":0.283596900859008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913747334","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":[0.98379695,0.000224603,0.000050102346,0.008622642,0.0015386837,0.000057996345,0.0000072926546,0.0000023031969,0.0056994064],"genre_scores_gemma":[0.99817276,0.00041895424,0.00019307874,0.00081053376,0.00014121356,6.499223e-7,0.0000014118806,0.0000051958787,0.00025619692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989207,0.000051651466,0.00038879426,0.00007341205,0.00037998953,0.00018546487],"domain_scores_gemma":[0.999241,0.0002221576,0.000277298,0.00010822164,0.00007089549,0.00008044106],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006444061,0.00006151311,0.00014762944,0.0000956995,0.000035427638,0.00001539456,0.00049829145,0.00004914127,0.0038307696],"category_scores_gemma":[0.00007278099,0.00003816637,0.00007847901,0.00011874117,0.00011960857,0.00013865189,0.00012651928,0.00011805876,0.000234896],"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":[0.0014555518,0.0003482583,0.6242114,0.000020537273,0.00025946877,0.00007646426,0.0011108269,0.0006784511,0.25417688,0.0017043598,0.027419843,0.088538],"study_design_scores_gemma":[0.0032995949,0.0029356857,0.75250167,0.00008491261,0.000044200075,0.0012738953,0.00044376007,0.0010704908,0.018888874,0.0129205715,0.20627765,0.00025871652],"about_ca_topic_score_codex":0.00011270382,"about_ca_topic_score_gemma":0.00003911611,"teacher_disagreement_score":0.23528802,"about_ca_system_score_codex":0.00010475509,"about_ca_system_score_gemma":0.000022749196,"threshold_uncertainty_score":0.99707985},"labels":[],"label_agreement":null},{"id":"W2938682232","doi":"10.1007/s00484-019-01710-4","title":"Frost controls spring phenology of juvenile Smith fir along elevational gradients on the southeastern Tibetan Plateau","year":2019,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"National Natural Science Foundation of China","keywords":"Phenology; Frost (temperature); Spring (device); Plateau (mathematics); Climate change; Environmental science; Biology; Ecology; Horticulture; Geography; Meteorology","score_opus":0.007859069543117122,"score_gpt":0.21692281446407177,"score_spread":0.20906374492095464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938682232","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":[0.9923435,0.000037905855,0.00021981097,0.003880835,0.0014714617,0.00011914286,0.000020698706,0.000005747828,0.0019009251],"genre_scores_gemma":[0.99841726,0.000009342259,0.0005692547,0.0005906563,0.00017231831,5.001825e-7,0.000004142346,0.0000099832405,0.00022655982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998364,0.00013015153,0.00051310327,0.00017812791,0.0006137777,0.00020089633],"domain_scores_gemma":[0.99854827,0.00037888662,0.0007470299,0.00016011858,0.0001122165,0.000053463813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051291805,0.00013544085,0.00027594058,0.00016200353,0.00003597176,0.000020457004,0.0006900199,0.00010983941,0.00085448043],"category_scores_gemma":[0.00012737402,0.00008171635,0.00013954173,0.00014622099,0.00021937855,0.000119762015,0.00013288196,0.00027587978,0.00034653587],"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":[0.0008393805,0.00030807848,0.59223217,0.000005525403,0.0006839034,0.000082878054,0.0006894287,0.0052659605,0.38618883,0.0028371203,0.0014360427,0.009430701],"study_design_scores_gemma":[0.0022774176,0.00088767114,0.97014755,0.00007677637,0.000041776395,0.00053393265,0.00019161601,0.0019825215,0.008008533,0.0024374397,0.013211411,0.00020333246],"about_ca_topic_score_codex":0.00008914706,"about_ca_topic_score_gemma":0.000038528382,"teacher_disagreement_score":0.3781803,"about_ca_system_score_codex":0.000111541056,"about_ca_system_score_gemma":0.000023557204,"threshold_uncertainty_score":0.93559617},"labels":[],"label_agreement":null},{"id":"W2941742795","doi":"10.1007/s00484-019-01720-2","title":"Latitude and daily-weather effects on gobbling activity of wild turkeys in Mississippi","year":2019,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Mississippi Department of Wildlife, Fisheries, and Parks; Mississippi State University","keywords":"Phenology; Wildlife; Latitude; Geography; Ecology; Environmental science; Biology","score_opus":0.012373273739150018,"score_gpt":0.25520928254132563,"score_spread":0.24283600880217562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941742795","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":[0.9980012,0.00008206349,0.0000043710093,0.0012447925,0.00046157718,0.00005141343,0.000003857895,0.0000028277714,0.00014786451],"genre_scores_gemma":[0.99957293,0.000025130568,0.000079502184,0.000048849197,0.0002020384,5.310931e-7,0.0000020551556,6.105373e-7,0.000068378766],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99937904,0.00006150942,0.00018918393,0.000118490665,0.00017470404,0.0000770913],"domain_scores_gemma":[0.9994964,0.00015910534,0.00020752705,0.000023068256,0.0000886458,0.000025268379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002483998,0.000062344894,0.0001597573,0.000089460176,0.000011164215,0.0000098398705,0.0001374833,0.000072695366,0.00007293467],"category_scores_gemma":[0.000035716737,0.000025060182,0.00005690832,0.00011784477,0.00003542448,0.00008965919,0.000029712586,0.0001136075,0.0000036965314],"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":[0.00021856664,0.00008924234,0.22936687,0.000002621944,0.000018307803,0.000009082643,0.00001765323,0.000011223757,0.72751427,0.000034541237,0.000018113224,0.042699505],"study_design_scores_gemma":[0.00030698767,0.00080029905,0.9532211,0.00003058703,0.0000073602682,0.000041733754,0.00001449051,0.000016049498,0.044630613,0.00015212462,0.00073320186,0.0000454566],"about_ca_topic_score_codex":0.00010509948,"about_ca_topic_score_gemma":0.000022932634,"teacher_disagreement_score":0.72385424,"about_ca_system_score_codex":0.000021471127,"about_ca_system_score_gemma":0.0000049284,"threshold_uncertainty_score":0.102192454},"labels":[],"label_agreement":null},{"id":"W2951228822","doi":"10.1007/s00484-019-01741-x","title":"Impairment in behavioral sedation in rats during periods of elevated global geomagnetic activity","year":2019,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Spaceflight effects on biology","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Sedation; Earth's magnetic field; Medicine; Anesthesia; Nociception; Geomagnetic storm; Hypnotic; Anesthetic; Physiology; Internal medicine; Receptor","score_opus":0.00847596584862433,"score_gpt":0.32365134278833785,"score_spread":0.31517537693971354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951228822","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":[0.9975186,0.000081996455,0.000015971049,0.0012768055,0.0008080207,0.00021659947,0.000007838665,0.0000048662287,0.00006928853],"genre_scores_gemma":[0.99947196,0.00003025365,0.00032129048,0.00006812155,0.00006877117,0.0000032778712,0.000008111348,0.000006524013,0.00002169518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986988,0.00015248633,0.0005202208,0.00015317004,0.00028729218,0.0001880715],"domain_scores_gemma":[0.99911165,0.00006291871,0.00040043553,0.000109744804,0.00025928518,0.000055935772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043337626,0.00011056304,0.00041027716,0.00087134365,0.0000047118783,0.000005477818,0.00017862624,0.00015901047,0.00028528398],"category_scores_gemma":[0.000055781606,0.00009630624,0.00009565679,0.00033587022,0.00007373485,0.00011072758,0.000059213093,0.0002123946,0.000011906386],"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":[0.0022323749,0.00041940215,0.5007707,0.000012396242,0.000047579942,0.00020660875,0.000078140096,0.000024655887,0.49449727,0.000016506729,0.0000043150767,0.001690066],"study_design_scores_gemma":[0.004982138,0.002961593,0.93940175,0.00007271246,0.000020501013,0.000940103,0.00005177841,0.00021981318,0.051199313,0.00005221955,0.000034011984,0.00006408214],"about_ca_topic_score_codex":0.00025953422,"about_ca_topic_score_gemma":0.00015176726,"teacher_disagreement_score":0.44329795,"about_ca_system_score_codex":0.00048921996,"about_ca_system_score_gemma":0.00014027234,"threshold_uncertainty_score":0.39272547},"labels":[],"label_agreement":null},{"id":"W2958847393","doi":"10.1007/s00484-019-01753-7","title":"Behavioral repertoire assessment of Bengal tigers (Panthera tigris) with focus on thermoregulatory behavior","year":2019,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Zoo; University of Guelph","funders":"University of Guelph","keywords":"Thermal comfort; Thermoregulation; Ecology; Panthera; Tiger; Relative humidity; Occupancy; Nocturnal; Environmental science; Microclimate; Geography; Biology; Predation; Meteorology; Mathematics","score_opus":0.009884539126021745,"score_gpt":0.2630919776757354,"score_spread":0.25320743854971367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958847393","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":[0.99799603,0.00005786741,0.0000026910006,0.00078582286,0.00038406893,0.00016102771,0.000042755655,0.0000069130374,0.00056280376],"genre_scores_gemma":[0.9992965,0.000019898658,0.00036006956,0.000099410085,0.00013436125,0.0000048476736,0.000011886995,0.0000024336655,0.00007061359],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986442,0.00010898531,0.00035097095,0.00017685711,0.00056200515,0.00015702398],"domain_scores_gemma":[0.9990661,0.00017350187,0.0005072202,0.00006687375,0.0001118837,0.00007439256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002246198,0.00013804484,0.00025785202,0.000079491794,0.000032340056,0.00001642821,0.0004917528,0.000102677135,0.0008436354],"category_scores_gemma":[0.000005298753,0.000054397187,0.00014074291,0.000094859104,0.0001588276,0.0001335096,0.000042939377,0.00019783943,0.000011149771],"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":[0.00043889912,0.00070213777,0.24649619,0.0000014902441,0.00012021078,0.00007183365,0.00003219037,0.00004318773,0.661674,0.00019727614,0.000051062325,0.09017151],"study_design_scores_gemma":[0.0006199793,0.0068765627,0.97244704,0.000034341843,0.000035326673,0.00011966429,0.000083397004,0.00001139504,0.01890706,0.000059093163,0.0006891901,0.00011697043],"about_ca_topic_score_codex":0.00009791507,"about_ca_topic_score_gemma":0.000037826463,"teacher_disagreement_score":0.72595084,"about_ca_system_score_codex":0.000089082016,"about_ca_system_score_gemma":0.00002175893,"threshold_uncertainty_score":0.9237216},"labels":[],"label_agreement":null},{"id":"W2965118209","doi":"10.1007/s00484-019-01764-4","title":"The effects of Tiszasüly and Kolop mud pack therapy on knee osteoarthritis: a double-blind, randomised, non-inferiority controlled study","year":2019,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Therapeutic Uses of Natural Elements","field":"Health Professions","cited_by":31,"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":"Osteoarthritis; Medicine; WOMAC; Knee pain; Quality of life (healthcare); Visual analogue scale; Physical therapy; Randomized controlled trial; Schmidt sting pain index; Knee Joint; Surgery","score_opus":0.027075034716355254,"score_gpt":0.39703518152458206,"score_spread":0.3699601468082268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965118209","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":[0.986845,0.0020296471,0.000014027936,0.0015544071,0.005826582,0.0034628257,0.000008391146,0.000009258552,0.0002498344],"genre_scores_gemma":[0.99760926,0.000655723,0.00004573739,0.0009837816,0.0003430599,0.00009891419,0.000002286666,0.00001955064,0.00024171376],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9967652,0.00089131127,0.0011795522,0.00019575277,0.0006462398,0.0003219716],"domain_scores_gemma":[0.99239695,0.0050148056,0.0014019134,0.00023330796,0.0008566003,0.00009641664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019337222,0.00020469289,0.0007786931,0.0004372728,0.00016465686,0.000024423267,0.00056380214,0.00019134037,0.00013675369],"category_scores_gemma":[0.00032453248,0.00012109862,0.00020179346,0.0001482695,0.00013088879,0.00013466981,0.00012390187,0.0006984889,0.000046511443],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.74883664,0.0010133266,0.10287953,0.000047597074,0.0045155743,0.00012587558,0.0030435652,0.0000032791531,0.032962285,0.0005707669,0.00028203803,0.105719544],"study_design_scores_gemma":[0.8751633,0.018473394,0.099301234,0.00023143977,0.00013766764,0.0000610773,0.0006854433,0.000018979927,0.0008390926,0.0008037791,0.0040951394,0.00018946614],"about_ca_topic_score_codex":0.000043076794,"about_ca_topic_score_gemma":0.00004875967,"teacher_disagreement_score":0.12632667,"about_ca_system_score_codex":0.000091776994,"about_ca_system_score_gemma":0.0001793112,"threshold_uncertainty_score":0.49382585},"labels":[],"label_agreement":null},{"id":"W2966027708","doi":"10.1007/s00484-019-01776-0","title":"Responses of bud-break phenology to daily-asymmetric warming: daytime warming intensifies the advancement of bud break","year":2019,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi; Natural Resources Canada; Canadian Forest Service","funders":"Postdoctoral Research Foundation of China; Natural Resources Canada; China Scholarship Council; Canada Foundation for Innovation","keywords":"Phenology; Abies balsamea; Daytime; Balsam; Annual growth cycle of grapevines; Black spruce; Environmental science; Global warming; Climate change; Atmospheric sciences; Horticulture; Biology; Ecology; Shoot; Taiga","score_opus":0.009532428195604632,"score_gpt":0.2569977316408162,"score_spread":0.24746530344521156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966027708","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":[0.9849278,0.0002267645,0.0012707823,0.009824469,0.0018676146,0.00016866121,0.00001738164,0.0000076098045,0.0016889566],"genre_scores_gemma":[0.99424404,0.00013354512,0.003941751,0.0006689841,0.00013969745,7.443991e-7,0.0000036981855,0.0000133642225,0.00085415854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99764967,0.00021585972,0.00086528907,0.00025106012,0.0007445652,0.00027354292],"domain_scores_gemma":[0.9976569,0.00068393786,0.00094582676,0.00027289652,0.00035565582,0.000084824555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008393492,0.00018391658,0.00043742135,0.00062773435,0.000036803634,0.000015654108,0.0010394817,0.00012767034,0.00039540767],"category_scores_gemma":[0.00040384082,0.000117095544,0.00017613357,0.0006964625,0.0003761683,0.00017334122,0.00046667087,0.00023922457,0.00012047907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013685796,0.00024462625,0.012965956,0.000011066681,0.00043235064,0.000066488734,0.001519456,0.003628931,0.89805806,0.00057299476,0.0023868796,0.07874458],"study_design_scores_gemma":[0.0038812857,0.005344125,0.26266298,0.0002891925,0.00024775811,0.005059988,0.0033410774,0.0010701875,0.4806651,0.0017839562,0.23490736,0.0007470112],"about_ca_topic_score_codex":0.00020753362,"about_ca_topic_score_gemma":0.000027886443,"teacher_disagreement_score":0.417393,"about_ca_system_score_codex":0.00021651856,"about_ca_system_score_gemma":0.00003921855,"threshold_uncertainty_score":0.47750178},"labels":[],"label_agreement":null},{"id":"W2972528523","doi":"10.1007/s00484-019-01799-7","title":"Development of a data-driven weather index for beach parks tourism","year":2019,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tourism; Index (typography); Visitor pattern; Weighting; Environmental resource management; Climate change; Geography; Climatology; Precipitation; Meteorology; Environmental science; Physical geography; Computer science; Ecology","score_opus":0.05712628899937373,"score_gpt":0.38991731754000625,"score_spread":0.3327910285406325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972528523","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":[0.9737497,0.00017732942,0.0060151424,0.008872054,0.0024016465,0.0003416909,0.00006724714,0.000010901772,0.008364272],"genre_scores_gemma":[0.96937835,0.000033781893,0.029062908,0.00012981154,0.0005364295,0.0000027124436,0.000018900535,0.00000922611,0.00082788244],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981607,0.000095803385,0.00046598603,0.00015947165,0.00088606676,0.00023194998],"domain_scores_gemma":[0.99810684,0.00031772655,0.00046973967,0.00017039594,0.00084292196,0.00009235397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017834753,0.00007455206,0.00022889992,0.00060168403,0.000056042132,0.000039972507,0.0019487102,0.00011483954,0.000745129],"category_scores_gemma":[0.0002743465,0.00006652754,0.000088819725,0.00014599583,0.0001782033,0.0004075523,0.0002763401,0.00014836431,0.00003161935],"study_design_candidate":"not_applicable","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":[0.004931798,0.0023453417,0.0749146,0.00008704502,0.00763799,0.0006951066,0.037899327,0.0002927722,0.049189366,0.041140515,0.07239231,0.7084738],"study_design_scores_gemma":[0.0028288392,0.00037973592,0.008793293,0.000052597105,0.000036229714,0.000027749342,0.0032415062,0.0005049711,0.0012841028,0.0035577377,0.97909623,0.00019702065],"about_ca_topic_score_codex":0.000113058246,"about_ca_topic_score_gemma":0.00008773624,"teacher_disagreement_score":0.9067039,"about_ca_system_score_codex":0.00012072777,"about_ca_system_score_gemma":0.00063102535,"threshold_uncertainty_score":0.815864},"labels":[],"label_agreement":null},{"id":"W2990346358","doi":"10.1007/s00484-019-01822-x","title":"The impact of climate change on ski resorts in China","year":2019,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"China; Climate change; Boom; Tourism; Geography; Vulnerability (computing); Environmental science; Physical geography; Environmental protection; Environmental engineering; Ecology","score_opus":0.017319941189937085,"score_gpt":0.2820088089770729,"score_spread":0.26468886778713585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990346358","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":[0.9952679,0.00061149517,0.0000027935566,0.0014527515,0.0011597398,0.000054567055,0.000034011715,0.0000013687782,0.0014153227],"genre_scores_gemma":[0.99827117,0.001380335,0.000056628443,0.000111530644,0.00015844159,2.8132146e-7,0.0000049624305,0.0000013380032,0.000015329104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992684,0.000043402088,0.00029605292,0.00006015048,0.00020023304,0.00013174217],"domain_scores_gemma":[0.99927443,0.0002630274,0.00027585332,0.000066766814,0.00009429213,0.000025654352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003819446,0.000056035886,0.00013454718,0.00012906233,0.000027061957,0.000015341047,0.00027678374,0.000030820585,0.0006156391],"category_scores_gemma":[0.000053005493,0.000030919055,0.000101730366,0.0001684552,0.000049100014,0.00008479316,0.000015399646,0.00009873551,0.000026126267],"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":[0.0003137591,0.000023966491,0.9379241,9.2806397e-7,0.000070569986,0.000015007322,0.00015226002,0.0010529987,0.00003704526,0.00020748512,0.00012892511,0.060072962],"study_design_scores_gemma":[0.00033498186,0.0006923261,0.9955992,0.000013492723,0.0000026919095,0.000031929125,0.00005157565,0.0008406146,0.000006742239,0.0005807747,0.0018157245,0.000029934632],"about_ca_topic_score_codex":0.0009916389,"about_ca_topic_score_gemma":0.00042662842,"teacher_disagreement_score":0.06004303,"about_ca_system_score_codex":0.000011965737,"about_ca_system_score_gemma":0.000021070698,"threshold_uncertainty_score":0.6740816},"labels":[],"label_agreement":null},{"id":"W2990736071","doi":"10.1007/s00484-019-01806-x","title":"Short-wave diathermy in the clinical management of musculoskeletal disorders: a pilot observational study","year":2019,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Fibromyalgia and Chronic Fatigue Syndrome Research","field":"Medicine","cited_by":31,"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":"Medicine; Physical therapy; Visual analogue scale; Quality of life (healthcare); Diathermy; Osteoarthritis; Observational study; Population; Physical medicine and rehabilitation; Internal medicine; Surgery; Alternative medicine","score_opus":0.1352970143554992,"score_gpt":0.43157734694840555,"score_spread":0.2962803325929063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990736071","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":[0.99495745,0.00019305821,0.000070773305,0.0031236107,0.0005837883,0.00044478473,0.000004350031,0.0000026724279,0.0006195019],"genre_scores_gemma":[0.99909425,0.00020185672,0.0004605666,0.000045462337,0.000082883125,0.000009027003,0.000010652025,0.000009524974,0.00008575737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975184,0.0002902253,0.00088248943,0.00016098986,0.0009736719,0.00017419973],"domain_scores_gemma":[0.99886763,0.00037820023,0.00022871984,0.00020119885,0.00027385875,0.000050363105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019401585,0.000101463,0.00034369592,0.0004423538,0.000011292893,0.0000106886055,0.00045558353,0.000060683826,0.00034807494],"category_scores_gemma":[0.000067745226,0.0000659407,0.00022607853,0.0002921495,0.00013040545,0.00008906702,0.000102768456,0.0003629715,0.00001978271],"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":[0.0016047407,0.004565749,0.96466726,0.00018807371,0.0017182563,0.0005371296,0.00036833328,0.000016779735,0.0007615123,0.0013632592,0.00023600757,0.023972917],"study_design_scores_gemma":[0.003947114,0.0069847866,0.9865906,0.00012067061,0.000070545815,0.00026383778,0.00096729456,0.00009313224,0.000008776551,0.0005775096,0.00032045922,0.00005524799],"about_ca_topic_score_codex":0.000016816697,"about_ca_topic_score_gemma":0.000004917039,"teacher_disagreement_score":0.02391767,"about_ca_system_score_codex":0.00007497369,"about_ca_system_score_gemma":0.0001222256,"threshold_uncertainty_score":0.38111767},"labels":[],"label_agreement":null},{"id":"W2998518072","doi":"10.1007/s00484-019-01852-5","title":"Perceived impact of meteorological conditions on the use of public space in winter settlements","year":2020,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Noise Effects and Management","field":"Health Professions","cited_by":21,"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":"Snow; Visibility; Geography; Environmental science; Meteorology; Human settlement; Climate change; Physical geography; Climatology; Ecology; Geology","score_opus":0.21117872324069506,"score_gpt":0.4487528038008848,"score_spread":0.23757408056018972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998518072","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":[0.959699,0.000017159447,0.0003557801,0.038682103,0.00053105794,0.00026148767,0.00011465062,0.00000439663,0.00033438107],"genre_scores_gemma":[0.9959267,0.000043300155,0.00025294157,0.0035558508,0.00015139057,0.00000961867,0.000013096476,0.000008260986,0.000038853133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99755114,0.0009572594,0.0007991674,0.000118086406,0.0003585341,0.0002158343],"domain_scores_gemma":[0.99695575,0.0015291993,0.0008171158,0.00011654778,0.00048634116,0.00009503086],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00083233684,0.000109828165,0.00034475734,0.0005025294,0.000040280564,0.000008244611,0.00045953647,0.000098112556,0.0024484538],"category_scores_gemma":[0.0011479924,0.00006283726,0.00021825582,0.00024261947,0.00014969279,0.00014727838,0.00016909881,0.00042394266,0.000026193606],"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":[0.0043158196,0.0015767311,0.5847375,0.00009514101,0.0044838963,0.00029652228,0.0057616434,0.0018213043,0.24789552,0.040105965,0.10492596,0.0039839963],"study_design_scores_gemma":[0.0025979672,0.003104434,0.9798706,0.00011461389,0.000053312262,0.000011434417,0.0005050392,0.00040822485,0.00028278562,0.001086217,0.011869832,0.00009553537],"about_ca_topic_score_codex":0.0000720616,"about_ca_topic_score_gemma":0.000023057026,"teacher_disagreement_score":0.3951331,"about_ca_system_score_codex":0.0001455241,"about_ca_system_score_gemma":0.00013307264,"threshold_uncertainty_score":0.99846345},"labels":[],"label_agreement":null},{"id":"W3000330919","doi":"10.1007/s00484-019-01858-z","title":"Evaluating the utility of various drought indices to monitor meteorological drought in Tropical Dry Forests","year":2020,"lang":"en","type":"review","venue":"International Journal of Biometeorology","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Dry season; Environmental science; Wet season; Moderate-resolution imaging spectroradiometer; Precipitation; Vegetation (pathology); Growing season; Climatology; Remote sensing; Geography; Meteorology; Satellite; Agronomy; Medicine; Cartography; Biology","score_opus":0.05757789640280484,"score_gpt":0.38859779110482345,"score_spread":0.3310198947020186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000330919","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13269626,0.8576396,0.0019302799,0.0040502534,0.0021157986,0.0007529256,0.00008477752,0.000019360466,0.0007107156],"genre_scores_gemma":[0.43355134,0.5604,0.004305034,0.0007807719,0.0007983,0.000051735195,0.000024251824,0.00003717866,0.000051379368],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946453,0.0014544453,0.0020029305,0.00049137906,0.0010253936,0.00038052592],"domain_scores_gemma":[0.9964219,0.0013567322,0.0016523482,0.0002988571,0.00009071976,0.00017947215],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018253915,0.0003726386,0.0018442121,0.00060567487,0.000063408486,0.000030149436,0.0023275765,0.0005602265,0.0018803299],"category_scores_gemma":[0.0010963294,0.00022939294,0.0008173881,0.0011439531,0.0005788704,0.0001665416,0.0007740697,0.001057907,0.00015589182],"study_design_candidate":"design_other","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":[0.000429575,0.0002775072,0.019057155,0.00009586014,0.0010114376,0.00047567394,0.0003316684,0.00017561471,0.000038312945,0.000071933915,0.00030470497,0.9777306],"study_design_scores_gemma":[0.0015693981,0.0040095653,0.061178144,0.0007357943,0.0022508423,0.0011345517,0.000049742863,0.004053571,0.000043396387,0.0052878438,0.9189814,0.0007057883],"about_ca_topic_score_codex":0.0001230613,"about_ca_topic_score_gemma":0.00028632893,"teacher_disagreement_score":0.9770248,"about_ca_system_score_codex":0.00024798836,"about_ca_system_score_gemma":0.00012147526,"threshold_uncertainty_score":0.9990321},"labels":[],"label_agreement":null},{"id":"W3005477378","doi":"10.1007/s00484-020-01867-3","title":"Overloaded! Critical revision and a new conceptual approach for snow indicators in ski tourism","year":2020,"lang":"en","type":"review","venue":"International Journal of Biometeorology","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"Universität Innsbruck; European Commission; Medizinische Universität Innsbruck; Klima- und Energiefonds","keywords":"Tourism; Relevance (law); Climate change; Snow; Environmental resource management; Stakeholder; Explanatory power; Scale (ratio); Natural (archaeology); Computer science; Environmental science; Geography; Meteorology; Ecology; Economics; Political science; Cartography","score_opus":0.05298846432908579,"score_gpt":0.38843751194116244,"score_spread":0.33544904761207667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005477378","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032897227,0.99260914,0.0028353648,0.0022316335,0.0013052805,0.00036913643,0.00008003069,0.0000070027854,0.00023345798],"genre_scores_gemma":[0.0021441926,0.9855793,0.008602676,0.00070362363,0.0027156903,0.00000811198,0.00008238766,0.000033245917,0.00013075511],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99784815,0.000063436644,0.0012182288,0.00028231012,0.00036844937,0.00021940315],"domain_scores_gemma":[0.9983489,0.00039580898,0.0006896975,0.00011413396,0.00017644026,0.00027505565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041475272,0.00026517,0.0016557078,0.0015733343,0.000018622173,0.000037343092,0.00036652517,0.000387759,0.00012727967],"category_scores_gemma":[0.0006077676,0.00019680406,0.00044571472,0.00033384105,0.00026153287,0.00012088328,0.000121190336,0.00069922523,0.00000392536],"study_design_candidate":"not_applicable","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":[0.00046905957,0.00009999368,0.00018306295,0.0011729717,0.00041390758,0.0003987772,0.00020251195,1.4531774e-7,0.0000016604232,0.0011623168,0.009061874,0.9868337],"study_design_scores_gemma":[0.0012954093,0.0012172502,0.000098915225,0.003557685,0.00036307983,0.0034566978,0.000042577754,0.000019519688,0.000003664703,0.000098584365,0.98969865,0.000147943],"about_ca_topic_score_codex":0.000005797673,"about_ca_topic_score_gemma":3.097582e-7,"teacher_disagreement_score":0.98668575,"about_ca_system_score_codex":0.00013581604,"about_ca_system_score_gemma":0.00054816756,"threshold_uncertainty_score":0.8025437},"labels":[],"label_agreement":null},{"id":"W3008394068","doi":"10.1007/s00484-020-01877-1","title":"Herbarium records indicate variation in bloom-time sensitivity to temperature across a geographically diverse region","year":2020,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Herbarium; Bloom; Variation (astronomy); Sensitivity (control systems); Geography; Geographic variation; Physical geography; Environmental science; Ecology; Biology; Medicine; Engineering; Environmental health","score_opus":0.01675012994851292,"score_gpt":0.26223350341236057,"score_spread":0.24548337346384766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008394068","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":[0.9705906,0.000009463668,0.00049379637,0.02807483,0.00043930038,0.00007377153,0.00006415537,0.000011647408,0.00024246519],"genre_scores_gemma":[0.99460346,0.000038062575,0.00015012608,0.0050066323,0.00015042126,0.0000020052385,0.000017303142,0.000006208311,0.00002581414],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99872655,0.00013602783,0.0003471152,0.00019911105,0.00038869213,0.00020250966],"domain_scores_gemma":[0.99935746,0.00006088072,0.0002492718,0.00006972176,0.0000895615,0.00017309166],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045797462,0.000103704326,0.0001843293,0.00014605651,0.00003838938,0.000045406294,0.00030316558,0.00013160062,0.003731527],"category_scores_gemma":[0.0002344466,0.00009504348,0.00009390608,0.0005771979,0.000106113344,0.00020283167,0.00023252709,0.00022835657,0.00037025328],"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":[0.0017883154,0.00042516305,0.23682173,0.000005106566,0.00017339468,0.0015804755,0.0035375003,0.00048389588,0.7355316,0.00016105593,0.012075928,0.007415833],"study_design_scores_gemma":[0.0010608914,0.0004211795,0.9829544,0.0000098849605,0.000012391415,0.0003148763,0.00027369108,0.00023036891,0.00090276357,0.000120903074,0.013558676,0.00013999674],"about_ca_topic_score_codex":0.00013512064,"about_ca_topic_score_gemma":0.00017595684,"teacher_disagreement_score":0.7461327,"about_ca_system_score_codex":0.00028038776,"about_ca_system_score_gemma":0.0000136467,"threshold_uncertainty_score":0.9971792},"labels":[],"label_agreement":null},{"id":"W3012344691","doi":"10.1007/s00484-020-01898-w","title":"Seasonal variation of temperature regulation: do thermoregulatory responses “spring” forward and “fall” back?","year":2020,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Vasomotor; Shivering; Thermoregulation; Circadian rhythm; Rhythm; Skin temperature; Animal science; Entrainment (biomusicology); Medicine; Air temperature; Biology; Internal medicine; Anesthesia; Meteorology; Geography","score_opus":0.02201234494135226,"score_gpt":0.29194963395365287,"score_spread":0.26993728901230063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012344691","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":[0.9901599,0.0005427901,0.00045749516,0.008364348,0.000240822,0.00008897874,0.000023192737,0.000009719968,0.00011269535],"genre_scores_gemma":[0.996156,0.00008049298,0.0018379405,0.0013352337,0.000476604,0.0000010189299,0.0000074608784,0.0000109939865,0.00009429636],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99864775,0.000178736,0.00049416034,0.00015401999,0.00042240007,0.00010293298],"domain_scores_gemma":[0.9983249,0.000318109,0.00045041836,0.00009138975,0.0006539131,0.0001612733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033408438,0.000118608055,0.00033742568,0.00025414253,0.000022631151,0.000018089346,0.00016587309,0.00015076814,0.0007814217],"category_scores_gemma":[0.00053836557,0.000088459936,0.0001462126,0.00018090008,0.00017756881,0.0001124451,0.00005646609,0.00017549131,0.0000078520925],"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":[0.021863336,0.000099469085,0.007510995,0.000026436075,0.0004350479,0.000047056757,0.00042463737,0.000048967286,0.9426049,0.003824805,0.0003462428,0.022768099],"study_design_scores_gemma":[0.0017524383,0.001039263,0.9839085,0.000049238635,0.000058430982,0.00028687954,0.00003466357,0.0003652541,0.00706947,0.0008095472,0.004548991,0.00007736322],"about_ca_topic_score_codex":0.000002620302,"about_ca_topic_score_gemma":3.5591862e-7,"teacher_disagreement_score":0.97639745,"about_ca_system_score_codex":0.000034314828,"about_ca_system_score_gemma":0.00013565132,"threshold_uncertainty_score":0.85560197},"labels":[],"label_agreement":null},{"id":"W3042508634","doi":"10.1007/s00484-020-01968-z","title":"Outlier detection methods to improve the quality of citizen science data","year":2020,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Outlier; Percentile; Anomaly detection; Computer science; Reliability (semiconductor); Citizen science; Spatial analysis; Autocorrelation; Statistics; Cluster analysis; Data mining; Artificial intelligence; Mathematics","score_opus":0.11481617896291013,"score_gpt":0.42449524063709465,"score_spread":0.3096790616741845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042508634","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":[0.929203,0.00003393093,0.045921892,0.0208336,0.001425577,0.000097536824,0.00016031193,0.000007246511,0.0023169597],"genre_scores_gemma":[0.99485177,0.000010908908,0.002807309,0.0021974745,0.00011135747,0.0000011844704,0.000004237594,0.0000031684242,0.000012576945],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99858934,0.00013273765,0.0004170135,0.00017556164,0.0005594804,0.0001258484],"domain_scores_gemma":[0.9990262,0.00013690321,0.00037218427,0.00020444533,0.00014890711,0.000111356494],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021959634,0.000059961578,0.00013487056,0.00008640931,0.000049151273,0.000029384159,0.0017267499,0.000032192573,0.004583556],"category_scores_gemma":[0.0012275606,0.000040810333,0.00005266534,0.00047645168,0.00046580864,0.00022385149,0.00081682915,0.00010736689,0.00008395988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001658532,0.00003118396,0.0019901313,0.0000013226573,0.000028338534,0.0000021397202,0.00024870643,0.0000130063745,0.9332578,0.00028341197,0.00071785384,0.06326024],"study_design_scores_gemma":[0.0013534587,0.0010289054,0.43029547,0.0000050064987,0.000049592574,0.000118823256,0.0020906148,0.0011965143,0.44096878,0.001049119,0.12161104,0.00023269751],"about_ca_topic_score_codex":0.000076582895,"about_ca_topic_score_gemma":0.000030208634,"teacher_disagreement_score":0.49228904,"about_ca_system_score_codex":0.00018123018,"about_ca_system_score_gemma":0.000025959414,"threshold_uncertainty_score":0.9963264},"labels":[],"label_agreement":null},{"id":"W3046987507","doi":"10.1007/s00484-020-01979-w","title":"A comparison of the holiday climate index:beach and the tourism climate index across coastal destinations in China","year":2020,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council","keywords":"Tourism; China; Destinations; Geography; Climate change; Index (typography); Environmental resource management; Physical geography; Climatology; Environmental science; Ecology","score_opus":0.032396992876796225,"score_gpt":0.39429012368219146,"score_spread":0.36189313080539526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046987507","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":[0.9400119,0.00016726361,0.0001631604,0.05678044,0.0005374912,0.00016857818,0.000053428157,0.0000064999285,0.0021111977],"genre_scores_gemma":[0.9989983,0.00020754003,0.0001312118,0.0003361195,0.00029656486,0.0000029522653,0.0000016948122,0.0000071328586,0.000018493038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99736017,0.0006267674,0.00057897164,0.00013828749,0.0009497152,0.00034606914],"domain_scores_gemma":[0.9981729,0.0005697705,0.0006323888,0.00009492361,0.000421688,0.00010833704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024389657,0.00009707842,0.0003089908,0.00024092568,0.00024647897,0.00012270188,0.0012424233,0.000106531115,0.0000682083],"category_scores_gemma":[0.0013248393,0.000062576604,0.00012958211,0.00050005905,0.001478031,0.00025761875,0.00057525164,0.0005318208,0.00000388949],"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":[0.0015961418,0.00029141412,0.9330696,0.000014866287,0.00022505263,0.00017453686,0.031349804,0.00053233263,0.0007952193,0.01804569,0.00087192614,0.013033403],"study_design_scores_gemma":[0.0049041724,0.00025814702,0.97162473,0.000055022596,0.00002954006,0.00006108398,0.00994355,0.0032557806,0.00029038888,0.005955739,0.0034852466,0.00013656793],"about_ca_topic_score_codex":0.00093661406,"about_ca_topic_score_gemma":0.0012012284,"teacher_disagreement_score":0.058986347,"about_ca_system_score_codex":0.00006216514,"about_ca_system_score_gemma":0.00016541532,"threshold_uncertainty_score":0.54458666},"labels":[],"label_agreement":null},{"id":"W3091952828","doi":"10.1007/s00484-020-02021-9","title":"Characterizing observed surface wind speed in the Hudson Bay and Labrador regions of Canada from an aviation perspective","year":2020,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Wind speed; Bay; Environmental science; Climate change; Aviation; Wind direction; Meteorology; Climatology; Geography; Prevailing winds; Physical geography; Oceanography; Engineering; Geology","score_opus":0.056476414991088277,"score_gpt":0.30593554598099,"score_spread":0.24945913098990172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091952828","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":[0.89781123,0.000042391,0.000109324654,0.1016953,0.00018274368,0.00004988759,0.0000345128,0.0000013027577,0.00007333076],"genre_scores_gemma":[0.99086034,0.000029772084,0.00038784606,0.008604145,0.00010399714,5.397813e-8,0.00000608447,0.0000032828982,0.00000445192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989295,0.000220352,0.00031616839,0.00010268958,0.00032271942,0.0001085731],"domain_scores_gemma":[0.99925804,0.00019238661,0.00034976087,0.000053133863,0.000049425886,0.0000972229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043575963,0.000059476737,0.00014316611,0.000038471982,0.000031093743,0.000013318154,0.0002871678,0.00004409379,0.00018696583],"category_scores_gemma":[0.00019564357,0.000045658584,0.000021814873,0.00013483896,0.000085812826,0.00024876627,0.00004363667,0.00015710907,0.0000015360492],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023095247,0.00048057045,0.63421863,0.000018903815,0.0002836202,0.00034572856,0.1109394,0.0028826343,0.23578838,0.0037661798,0.0035040271,0.005462416],"study_design_scores_gemma":[0.00058477104,0.0003360002,0.9900847,0.000011382032,0.000009404487,0.00003229872,0.0040789293,0.0013982991,0.0008473357,0.00139743,0.0011627706,0.00005667186],"about_ca_topic_score_codex":0.12775205,"about_ca_topic_score_gemma":0.079243265,"teacher_disagreement_score":0.35586607,"about_ca_system_score_codex":0.00018408427,"about_ca_system_score_gemma":0.000096193486,"threshold_uncertainty_score":0.9375581},"labels":[],"label_agreement":null},{"id":"W3092477480","doi":"10.1007/s00484-020-02019-3","title":"Pre-to-post lockdown impact on air quality and the role of environmental factors in spreading the COVID-19 cases - a study from a worst-hit state of India","year":2020,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Dew point; Coronavirus disease 2019 (COVID-19); Environmental science; Air quality index; Pollutant; Air pollutants; Dew; Atmospheric sciences; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); NOx; 2019-20 coronavirus outbreak; Meteorology; Air pollution; Toxicology; Geography; Chemistry; Medicine; Biology; Ecology; Disease","score_opus":0.03153172429181715,"score_gpt":0.3525528296493043,"score_spread":0.3210211053574871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092477480","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":[0.9916373,0.000043391123,0.00009537293,0.0070507503,0.00008272534,0.0003552438,0.00071875163,0.0000037774412,0.000012680952],"genre_scores_gemma":[0.9962668,0.000013506434,0.00003324438,0.0036346822,0.000031376345,0.000003753941,0.0000061557307,0.000008626228,0.0000018785215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970307,0.00095546583,0.00085467345,0.0002243232,0.00075336575,0.00018150237],"domain_scores_gemma":[0.9957639,0.0029523254,0.0008517815,0.00018307082,0.000018129784,0.00023077239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015843594,0.00017445993,0.0004315922,0.00020587983,0.000042718108,0.000019182162,0.00075677445,0.000047573605,0.0005726578],"category_scores_gemma":[0.001407558,0.000097342076,0.00015507772,0.00026191326,0.0005587945,0.00015025488,0.00039570237,0.00025982482,0.0000064499],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0052304287,0.00043012857,0.93415576,0.0000027065917,0.00030518495,0.000035849476,0.020545812,0.0026562107,0.034111466,0.000008868125,0.000023954375,0.0024936332],"study_design_scores_gemma":[0.0020518047,0.0014424073,0.9904774,0.0000065502704,0.000032826152,0.000023941724,0.001977282,0.00012663705,0.0029640705,0.0006625043,0.00014667182,0.00008791041],"about_ca_topic_score_codex":0.010264197,"about_ca_topic_score_gemma":0.0005606794,"teacher_disagreement_score":0.056321636,"about_ca_system_score_codex":0.00046341418,"about_ca_system_score_gemma":0.000071562165,"threshold_uncertainty_score":0.99632657},"labels":[],"label_agreement":null},{"id":"W3103249642","doi":"10.1007/s00484-020-02044-2","title":"Heat risk exacerbation potential for neurology patients during the COVID-19 pandemic and related isolation","year":2020,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"European Regional Development Fund","keywords":"Isolation (microbiology); Pandemic; Medicine; Population; Exacerbation; Coronavirus disease 2019 (COVID-19); Vulnerability (computing); Neurology; Environmental health; Intensive care medicine; Medical emergency; Disease; Infectious disease (medical specialty); Internal medicine; Psychiatry; Bioinformatics; Biology; Computer security","score_opus":0.03506441754178379,"score_gpt":0.3055155297291901,"score_spread":0.2704511121874063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3103249642","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":[0.9655499,0.00005761203,0.0018923704,0.031620637,0.00065719173,0.000154808,0.000036339028,0.000008538243,0.000022622296],"genre_scores_gemma":[0.9933725,0.00031670267,0.000097497716,0.005986298,0.00019602063,0.0000032812243,0.000014541107,0.000006959971,0.0000061970636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990464,0.00012471825,0.0003557996,0.00013007593,0.0001978961,0.00014513455],"domain_scores_gemma":[0.99929315,0.00019022434,0.00025755347,0.000042676387,0.000047395606,0.000168988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036653885,0.00007190836,0.000115199065,0.00008526892,0.000119200035,0.000018185276,0.0001829734,0.00008776035,0.0004151685],"category_scores_gemma":[0.00046625469,0.00005271061,0.000049729875,0.00008836801,0.00010565537,0.00016051807,0.00009038587,0.00016589258,0.000012613233],"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":[0.0024775483,0.00006568522,0.96243906,0.000014267154,0.00007921579,0.000024486495,0.0020115266,0.003556911,0.019722963,0.000017055896,0.0022122725,0.0073790182],"study_design_scores_gemma":[0.0044509727,0.0016202023,0.9694716,0.0000035549037,0.00005529213,0.0007210436,0.000056857498,0.013102809,0.00009991421,0.0023667852,0.007941468,0.000109500106],"about_ca_topic_score_codex":0.000048987535,"about_ca_topic_score_gemma":0.00002099175,"teacher_disagreement_score":0.027822621,"about_ca_system_score_codex":0.00010100415,"about_ca_system_score_gemma":0.000014164811,"threshold_uncertainty_score":0.4545804},"labels":[],"label_agreement":null},{"id":"W3118907400","doi":"10.1007/s00484-020-02063-z","title":"Technological opportunities for sensing of the health effects of weather and climate change: a state-of-the-art-review","year":2021,"lang":"en","type":"review","venue":"International Journal of Biometeorology","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; Environment and Climate Change Canada; University of Toronto","funders":"University of Twente","keywords":"Climate change; Thematic map; Environmental resource management; Human health; Emerging technologies; Environmental science; Data science; Environmental planning; Remote sensing; Computer science; Geography; Ecology; Environmental health; Biology; Cartography; Medicine","score_opus":0.11583642752285056,"score_gpt":0.3705050036361549,"score_spread":0.25466857611330435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118907400","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021114063,0.994536,0.0002854133,0.0017926346,0.0008083276,0.00038014716,0.00006341394,0.0000025891707,0.000020071144],"genre_scores_gemma":[0.0022381064,0.99657,0.00093142485,0.00015500584,0.00005980195,0.0000060819507,0.0000025248062,0.000010714932,0.000026327409],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998105,0.00040254413,0.00090150296,0.000119198565,0.0003271448,0.00014462387],"domain_scores_gemma":[0.9968706,0.00055948953,0.0023073195,0.00014292057,0.00008608198,0.00003362743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013152448,0.00013673573,0.00096482225,0.00011332808,0.000036472422,0.000004812807,0.00043690918,0.000096833886,0.000012467651],"category_scores_gemma":[0.0003924606,0.00007444287,0.0003950076,0.000187111,0.00061409443,0.00004050906,0.00039160933,0.00020650732,3.368828e-7],"study_design_candidate":"design_other","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":[0.000006953269,0.000032320648,0.000108360204,0.004930569,0.00012771563,0.0000053659423,0.000052989442,4.7861954e-7,0.000028415845,0.00008140007,0.000105424944,0.99452],"study_design_scores_gemma":[0.0005277751,0.0009808689,0.00042816412,0.103703596,0.0006766786,0.0014357882,0.00008624835,0.00003120979,0.00043459202,0.00064922933,0.8907977,0.00024818335],"about_ca_topic_score_codex":0.000009380111,"about_ca_topic_score_gemma":0.0000025980444,"teacher_disagreement_score":0.9942718,"about_ca_system_score_codex":0.00008115465,"about_ca_system_score_gemma":0.00006067235,"threshold_uncertainty_score":0.3035692},"labels":[],"label_agreement":null},{"id":"W3119806834","doi":"10.1007/s00484-020-02070-0","title":"Tourism climatology: past, present, and future","year":2021,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Center for Clinical and Translational Research; Oulun Yliopisto; Vetenskapsrådet; University of Canterbury; University of Waterloo; Svenska Forskningsrådet Formas; Umeå Universitet","keywords":"Tourism; Climatology; Geography; Meteorology; Geology; Archaeology","score_opus":0.01932289137015003,"score_gpt":0.35057383092123073,"score_spread":0.3312509395510807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119806834","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":[0.5193558,0.0027926122,0.00015038488,0.43625396,0.005850002,0.000074613636,0.00001587915,0.000019140003,0.035487622],"genre_scores_gemma":[0.97312725,0.0038894645,0.0031934066,0.0009921129,0.017352788,0.000001681332,0.000004665601,0.00001187995,0.0014267515],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983545,0.00033394326,0.00027454336,0.00013785613,0.00065529434,0.00024384119],"domain_scores_gemma":[0.99825567,0.0002571552,0.00021639015,0.000083436185,0.0010268564,0.0001604946],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000758856,0.00006991619,0.00018592,0.0004042489,0.0001056536,0.00010451931,0.0005179696,0.00014033947,0.0009805548],"category_scores_gemma":[0.00015419531,0.00006496143,0.00009261167,0.00020454238,0.0003835271,0.0002722165,0.00019328459,0.0002433862,0.000025538744],"study_design_candidate":"not_applicable","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":[0.0007915487,0.0008093683,0.06795264,0.000019546831,0.0021922295,0.042875886,0.0059734914,0.0000073368055,0.006429386,0.14486362,0.33978242,0.38830253],"study_design_scores_gemma":[0.000795393,0.00010938734,0.011823156,0.000007794336,0.000021630342,0.0007428381,0.003036592,0.0000062073814,0.0004569491,0.011529282,0.97138685,0.00008394008],"about_ca_topic_score_codex":0.000083583625,"about_ca_topic_score_gemma":0.000036883204,"teacher_disagreement_score":0.63160443,"about_ca_system_score_codex":0.000059367136,"about_ca_system_score_gemma":0.00026680122,"threshold_uncertainty_score":0.9999327},"labels":[],"label_agreement":null},{"id":"W3128625182","doi":"10.1007/s00484-020-02055-z","title":"An indicator of freeze-kill damages to fruit trees during flowering","year":2021,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; Centre for Global Health Research","funders":"","keywords":"Climate change; Environmental science; Frost (temperature); Spring (device); Horticulture; Biology; Physical geography; Ecology; Geography; Meteorology","score_opus":0.013536505885551334,"score_gpt":0.26448506780336695,"score_spread":0.2509485619178156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128625182","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":[0.9972039,0.00015114313,0.000014813187,0.0020312786,0.00042966954,0.000021166006,0.00006905615,0.0000070400915,0.00007192852],"genre_scores_gemma":[0.9989087,0.00008035593,0.0003104303,0.0003058394,0.0003365853,0.0000013614483,0.000022116445,5.858158e-7,0.000034009605],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991623,0.000075367025,0.00032730473,0.00012494062,0.00019724872,0.000112808055],"domain_scores_gemma":[0.9991549,0.0001464083,0.00023935988,0.00003260476,0.00036088476,0.00006579239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015713803,0.00007354727,0.0002029671,0.000078776626,0.00007625216,0.000011129092,0.00036576818,0.00006543075,0.00034959224],"category_scores_gemma":[0.00011005208,0.00003291277,0.00008369668,0.00018965223,0.000058251546,0.00013309786,0.00012532955,0.00008737726,0.000006985448],"study_design_candidate":"bench_or_experimental","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":[0.00013603317,0.00010687824,0.020822514,0.0000012207471,0.00014115515,0.000057303863,0.00017380249,0.000024834182,0.97208625,0.00012507483,0.000099881734,0.0062250374],"study_design_scores_gemma":[0.00018293069,0.00026395617,0.7756279,0.000014174099,0.000008697392,0.0001286647,0.00028199784,0.0000025237646,0.22094756,0.00027326174,0.0022102257,0.00005811743],"about_ca_topic_score_codex":0.000013078887,"about_ca_topic_score_gemma":0.000102077094,"teacher_disagreement_score":0.7548054,"about_ca_system_score_codex":0.000014914289,"about_ca_system_score_gemma":0.000012671955,"threshold_uncertainty_score":0.382779},"labels":[],"label_agreement":null},{"id":"W3137704066","doi":"10.1007/s00484-021-02117-w","title":"A scoping review on climate change and tuberculosis","year":2021,"lang":"en","type":"review","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Health Economics Association","funders":"","keywords":"Tuberculosis; Climate change; Environmental health; Public health; Population; Disease; Medicine; Geography; Ecology; Biology; Pathology","score_opus":0.17784901726109636,"score_gpt":0.44147591196222435,"score_spread":0.263626894701128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137704066","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000059772494,0.99558765,0.0000016709839,0.0025073208,0.001019883,0.0003983844,0.00005356531,0.0000048484803,0.00036692616],"genre_scores_gemma":[0.0000070225237,0.9944315,0.00013263118,0.004809697,0.00053095084,0.000031081196,0.000029326951,0.000021592861,0.000006209232],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99790686,0.0002295506,0.0009030789,0.00024328067,0.0004305793,0.0002866587],"domain_scores_gemma":[0.99830395,0.000297855,0.0010153065,0.00014242566,0.000056061526,0.00018440082],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008292609,0.00023670404,0.0013422559,0.00033314154,0.00004069575,0.00003301559,0.0003836028,0.00018194369,0.001944512],"category_scores_gemma":[0.00018961007,0.0001758285,0.0003016275,0.0002559479,0.00009178234,0.00014684872,0.00033390176,0.00032019644,0.00016258175],"study_design_candidate":"design_other","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":[0.0000075555677,0.000045187433,0.000036366542,0.012171513,0.0000735377,0.00023564517,0.00003232057,3.7586336e-8,0.0000010102261,0.000018300898,0.0012950205,0.9860835],"study_design_scores_gemma":[0.00018472534,0.00031209417,0.000053951135,0.43800414,0.00034288934,0.0024511467,0.000003830568,6.175991e-7,8.621267e-7,0.000025588894,0.55844617,0.00017395733],"about_ca_topic_score_codex":0.000011705009,"about_ca_topic_score_gemma":0.0000153936,"teacher_disagreement_score":0.9859095,"about_ca_system_score_codex":0.00023148039,"about_ca_system_score_gemma":0.000043310352,"threshold_uncertainty_score":0.9989678},"labels":[],"label_agreement":null},{"id":"W3147736789","doi":"10.1007/s00484-021-02100-5","title":"Nature-based cooling potential: a multi-type green infrastructure evaluation in Toronto, Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Hope Foundation","keywords":"Green infrastructure; Vegetation (pathology); Urban heat island; Agriculture; Environmental science; Green belt; Air temperature; Surface air temperature; Environmental planning; Urban ecosystem; Environmental resource management; Urban climate; Climate change; Geography; Environmental protection; Urban planning; Civil engineering; Engineering; Ecology; Meteorology; Archaeology","score_opus":0.008030071789397629,"score_gpt":0.2614838359541344,"score_spread":0.25345376416473675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147736789","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":[0.9952213,0.00030806594,0.00064928655,0.000901506,0.0024043315,0.000070455666,0.000008495478,0.0000029541811,0.00043358502],"genre_scores_gemma":[0.9955345,0.00000851147,0.003084578,0.0011005172,0.000113391674,0.0000017859596,0.00004547694,0.000007212215,0.00010407087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984393,0.00014155313,0.0003906789,0.00015905502,0.0007182917,0.00015111869],"domain_scores_gemma":[0.9992642,0.000052600797,0.00023190527,0.00009068341,0.00029495734,0.000065681386],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036446948,0.00009547523,0.00014858363,0.00009179599,0.000020604037,0.000019303523,0.00026881817,0.00014220961,0.007654299],"category_scores_gemma":[0.00015623478,0.000090716625,0.000050754286,0.00015802032,0.000042377367,0.00021402768,0.00006396136,0.0002793126,0.0000045565334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007981897,0.00035907596,0.5792393,0.000006478452,0.000269958,0.001394037,0.00061674893,0.0376069,0.33595586,0.00004606268,0.0071605705,0.036546793],"study_design_scores_gemma":[0.0022154876,0.00013532247,0.9684662,0.000020943227,0.00003964773,0.00042203921,0.000085401225,0.00883857,0.010518492,0.0003214699,0.008798568,0.00013782369],"about_ca_topic_score_codex":0.7659901,"about_ca_topic_score_gemma":0.9914733,"teacher_disagreement_score":0.3892269,"about_ca_system_score_codex":0.0045718495,"about_ca_system_score_gemma":0.0008503649,"threshold_uncertainty_score":0.9992494},"labels":[],"label_agreement":null},{"id":"W3159570256","doi":"10.1007/s00484-021-02131-y","title":"Improved methods for estimating mean radiant temperature in hot and sunny outdoor settings","year":2021,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Wet-bulb globe temperature; Thermometer; Mean radiant temperature; Meteorology; Emissivity; Thermal comfort; Environmental science; Optics; Physics; Air temperature; Thermodynamics","score_opus":0.010422908853082093,"score_gpt":0.3125849219258959,"score_spread":0.30216201307281376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159570256","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":[0.9676891,0.0002711222,0.026960775,0.0038333707,0.0010467411,0.00009730415,0.000015152372,0.0000048185943,0.00008162788],"genre_scores_gemma":[0.5874585,0.000019636189,0.41156343,0.0007206045,0.00014038684,0.0000049214873,0.0000094710085,0.000008057414,0.000075047916],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990689,0.00012200982,0.00037289006,0.00016105764,0.00012727993,0.00014787415],"domain_scores_gemma":[0.99928176,0.0003028476,0.00020703208,0.000059627037,0.000084116284,0.00006461956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008673302,0.00008300932,0.00017615262,0.0001588984,0.000028994615,0.00003832151,0.00016699627,0.00008894092,0.00013287444],"category_scores_gemma":[0.0004963078,0.0000727976,0.000059158894,0.00014144441,0.0000812279,0.00018469435,0.00007665255,0.00015148032,0.0000019644729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016123973,0.000055202687,0.010064252,0.00000730655,0.0000698235,0.00006641048,0.00078431214,0.0001072691,0.8911676,0.000100934834,0.00063387584,0.096781775],"study_design_scores_gemma":[0.01479437,0.0021291836,0.25105277,0.00029238203,0.00022437859,0.009193918,0.001107977,0.15321112,0.49802744,0.019515,0.04932571,0.0011257483],"about_ca_topic_score_codex":0.000030485373,"about_ca_topic_score_gemma":0.000068502166,"teacher_disagreement_score":0.39314014,"about_ca_system_score_codex":0.00012802867,"about_ca_system_score_gemma":0.00003467661,"threshold_uncertainty_score":0.29685998},"labels":[],"label_agreement":null},{"id":"W33523308","doi":"10.1007/s00484-020-02055-z","title":"“Equipped by a set of fine and moving observations” : On the translation of Mary Hays's Memoirs of Emma Courtney into French","year":2013,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Historical and Literary Studies","field":"Social Sciences","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":"Memoir; Art; Set (abstract data type); Art history; Philosophy; Computer science; Programming language","score_opus":0.03672871467545356,"score_gpt":0.2923279939668704,"score_spread":0.25559927929141685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W33523308","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":[0.977424,0.00056451117,0.00031014884,0.020002292,0.00032880963,0.000078233024,0.000024705363,0.000002199447,0.0012650724],"genre_scores_gemma":[0.99845916,0.00014946309,0.0009931327,0.00014844116,0.00008763129,0.000002525027,0.0000046418354,0.0000026969335,0.00015229256],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988061,0.00016415305,0.00049453933,0.00006676035,0.00038867217,0.00007976814],"domain_scores_gemma":[0.99811643,0.0007199256,0.000508359,0.00004923851,0.00057076255,0.000035296347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005505156,0.00005977207,0.00020560902,0.0002101508,0.000062649975,0.000007459911,0.00026831598,0.00005936657,0.0002484256],"category_scores_gemma":[0.00029434124,0.000041054067,0.00007097109,0.00019998729,0.00037385157,0.00017894786,0.00002641643,0.0000868205,0.0000011180706],"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":[0.00076870335,0.00083927205,0.11813459,0.000116205716,0.0020821767,0.000014942529,0.15801586,0.000099614444,0.3445261,0.06566217,0.036136106,0.27360424],"study_design_scores_gemma":[0.005557301,0.005568379,0.42022488,0.0005786814,0.00032591808,0.000043006254,0.00929533,0.0018873397,0.016149933,0.12537867,0.4142874,0.0007031814],"about_ca_topic_score_codex":0.001725206,"about_ca_topic_score_gemma":0.00014783618,"teacher_disagreement_score":0.3781513,"about_ca_system_score_codex":0.00003820834,"about_ca_system_score_gemma":0.000056588466,"threshold_uncertainty_score":0.2720086},"labels":[],"label_agreement":null},{"id":"W4210271503","doi":"10.1007/s00484-022-02241-1","title":"A microscale three-dimensional model of urban outdoor thermal exposure (TUF-Pedestrian)","year":2022,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Environmental science; Albedo (alchemy); Pedestrian; Land cover; Urban heat island; Meteorology; Radiative transfer; Atmospheric sciences; Geography; Land use; Physics; Ecology; Biology","score_opus":0.013208420398539695,"score_gpt":0.22740221251298803,"score_spread":0.21419379211444833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210271503","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":[0.9960207,0.00014069182,0.0012203413,0.0011450223,0.0008547036,0.00007708777,0.00009379779,0.000006350164,0.0004413511],"genre_scores_gemma":[0.9965602,0.0000036996864,0.0026226034,0.00041138343,0.00012478593,0.0000062733193,0.00001419554,0.000011869396,0.00024494706],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99832535,0.00010115126,0.00053613645,0.00015617657,0.0007130026,0.00016820003],"domain_scores_gemma":[0.9991863,0.00008756809,0.00046659776,0.00011580687,0.00007396634,0.00006981177],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004892195,0.00010605874,0.0002004079,0.00023348628,0.00006787577,0.000009626223,0.0005914152,0.00005792137,0.0027888406],"category_scores_gemma":[0.00003827326,0.000095509014,0.00015110447,0.00016313717,0.00018761068,0.00017089795,0.0003200138,0.00023029555,0.000023065204],"study_design_candidate":"bench_or_experimental","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":[0.0006653733,0.00036105045,0.18045889,0.000002518952,0.00015144654,0.00005856829,0.00039772945,0.043658,0.76486164,0.0001476224,0.004566097,0.0046710395],"study_design_scores_gemma":[0.020440519,0.009643396,0.64595383,0.00007058186,0.00042521302,0.0049311244,0.00043330807,0.119281955,0.1433468,0.02101644,0.032878354,0.0015784998],"about_ca_topic_score_codex":0.0000764953,"about_ca_topic_score_gemma":0.000027264203,"teacher_disagreement_score":0.62151486,"about_ca_system_score_codex":0.00020875508,"about_ca_system_score_gemma":0.00006298775,"threshold_uncertainty_score":0.99812275},"labels":[],"label_agreement":null},{"id":"W4255994613","doi":"10.1007/s00484-013-0695-2","title":"Erratum to: Effects of diurnal variations in temperature on non-accidental mortality among the elderly population of Montreal, Québec, 1984–2007","year":2013,"lang":"en","type":"erratum","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University Health Centre; McGill University; Royal Victoria Hospital","funders":"","keywords":"Accidental; Demography; Environmental science; Population; Gerontology; Geography; Medicine; Sociology; Physics","score_opus":0.012711743597564041,"score_gpt":0.30071497449976364,"score_spread":0.2880032309021996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255994613","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":[0.9806816,0.00024412408,0.000018734596,0.00260845,0.0143417055,0.00042265243,0.000080457234,0.0000037763689,0.0015985208],"genre_scores_gemma":[0.9967067,0.00039335102,0.00006767172,0.0005877364,0.00097080437,0.000016469388,0.00009686343,0.000024378252,0.0011360189],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9970812,0.00020442034,0.0012078455,0.0002411119,0.0009550248,0.00031034797],"domain_scores_gemma":[0.99734783,0.0003406566,0.0017067502,0.0002559281,0.00017229174,0.00017653478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006372435,0.000261861,0.00061902107,0.0007135761,0.00005666492,0.000036911235,0.00084660144,0.00045008937,0.0006820994],"category_scores_gemma":[0.0003921106,0.00018775878,0.00021459257,0.00039563756,0.00016520979,0.00026591588,0.00017472974,0.0008889597,0.000028183405],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040874997,0.0007334604,0.33250803,0.000111216905,0.00037102858,0.00013876073,0.0016185445,0.0004919058,0.0077050156,0.000029028533,0.6495708,0.0063134613],"study_design_scores_gemma":[0.00065883424,0.0012903054,0.99530524,0.0004026921,0.000064940454,0.00004112812,0.000047243848,0.00012311671,0.00021041307,0.0005003703,0.0012177265,0.00013798907],"about_ca_topic_score_codex":0.061198696,"about_ca_topic_score_gemma":0.05034449,"teacher_disagreement_score":0.6627972,"about_ca_system_score_codex":0.00057652674,"about_ca_system_score_gemma":0.00013098757,"threshold_uncertainty_score":0.9669843},"labels":[],"label_agreement":null},{"id":"W4280561400","doi":"10.1007/s00484-022-02271-9","title":"Impact of temperature changes between neighboring days on cardiovascular disease hospital admissions among suburban farmers in Qingyang, Northwest China","year":2022,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Ministry of Education Key Projects of Philosophy and Social Sciences Research; Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; Lanzhou University","keywords":"Percentile; China; Medicine; Demography; Distributed lag; Environmental health; Disease; Geography; Internal medicine","score_opus":0.01958298066412795,"score_gpt":0.2944349903191843,"score_spread":0.27485200965505635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280561400","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":[0.9966717,0.0003151307,0.0000039572847,0.0018975608,0.0006040277,0.00012691911,0.00027683176,0.0000053112267,0.00009856817],"genre_scores_gemma":[0.99932706,0.00018570996,0.000023014223,0.00011740847,0.0002571062,0.000008196685,0.000055338827,0.000014968267,0.000011215031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982516,0.0001419296,0.00038417114,0.00019650478,0.0007337631,0.00029201727],"domain_scores_gemma":[0.9989954,0.000081087186,0.0003496749,0.00016915936,0.000034648187,0.00037002022],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005522636,0.00014565291,0.00033673327,0.00055069017,0.00008826611,0.000015078972,0.0004992845,0.000056855148,0.001395335],"category_scores_gemma":[0.0001392679,0.000121589175,0.0003080112,0.00037930827,0.000092819006,0.0001536993,0.00024784147,0.0003943195,0.0000039827332],"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":[0.00019632714,0.0002167919,0.98510087,0.0000044193293,0.00023516214,0.00028442734,0.0007642893,0.0062155826,0.0013116136,0.0000045171187,0.00032296334,0.005343035],"study_design_scores_gemma":[0.0007539573,0.0013112117,0.9967051,0.00003483577,0.000045206052,0.000030857533,0.000119998585,0.00004537145,0.000094667994,0.00008435052,0.0006657475,0.00010869291],"about_ca_topic_score_codex":0.001412167,"about_ca_topic_score_gemma":0.0000954841,"teacher_disagreement_score":0.011604232,"about_ca_system_score_codex":0.00066605525,"about_ca_system_score_gemma":0.000070036775,"threshold_uncertainty_score":0.9995175},"labels":[],"label_agreement":null},{"id":"W4302028146","doi":"10.1007/s00484-022-02375-2","title":"The influence of heat and cold waves on mortality in Russian subarctic cities with varying climates","year":2022,"lang":"en","type":"review","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":24,"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":"Russian Foundation for Basic Research","keywords":"Subarctic climate; Cold wave; Population; Extreme Cold; Circumpolar star; Climate change; Arctic; Climatology; Demography; Geography; Heat wave; Environmental science; Environmental health; Medicine; Meteorology; Oceanography; Geology","score_opus":0.07140960802489328,"score_gpt":0.3665214178787027,"score_spread":0.2951118098538094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302028146","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4911237,0.50695705,8.740658e-7,0.00079634524,0.00034695002,0.00024181274,0.000068882066,0.000003411567,0.0004609748],"genre_scores_gemma":[0.104979,0.8947071,0.000028738283,0.00020589266,0.000045502966,0.000010783324,0.0000054073817,0.000010728412,0.0000068560057],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982788,0.00019691292,0.0006980869,0.00014660154,0.0004642852,0.00021531832],"domain_scores_gemma":[0.998257,0.0008846167,0.00064758083,0.00011739263,0.00001785455,0.00007555272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008614274,0.00015760087,0.0005791553,0.00031180395,0.000077548255,0.0000276329,0.00046081337,0.00007811653,0.0002557592],"category_scores_gemma":[0.000098166485,0.000092669055,0.00008409413,0.00023048084,0.0003588141,0.000121630736,0.00019658313,0.00035358203,0.000003594017],"study_design_candidate":"not_applicable","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":[0.0013604738,0.00069838285,0.1582372,0.0046828925,0.0012570255,0.00135032,0.0028243484,0.0015076572,0.00028992753,0.0023843192,0.00026418548,0.8251433],"study_design_scores_gemma":[0.0018642392,0.004644468,0.14024664,0.008259019,0.00051688094,0.0030082338,0.0003546694,0.000058716167,0.00004650414,0.0023347908,0.8379898,0.00067605433],"about_ca_topic_score_codex":0.0002364181,"about_ca_topic_score_gemma":0.0001360405,"teacher_disagreement_score":0.8377256,"about_ca_system_score_codex":0.00029740136,"about_ca_system_score_gemma":0.00006208552,"threshold_uncertainty_score":0.37789345},"labels":[],"label_agreement":null},{"id":"W4307844770","doi":"10.1007/s00484-022-02399-8","title":"Daily timings of sap production in sugar maple in Quebec, Canada","year":2022,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Plant-Derived Bioactive Compounds","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Outaouais; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maple; Phenology; Sugar; Environmental science; Production (economics); Animal science; Biology; Ecology","score_opus":0.010194388331362632,"score_gpt":0.23456071324228495,"score_spread":0.22436632491092232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307844770","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":[0.99460477,0.00014885655,0.000008009549,0.0036322137,0.0009875586,0.000023201485,0.000060055485,0.0000026953799,0.00053262],"genre_scores_gemma":[0.9991053,0.000021013337,0.0001299826,0.00013702794,0.00013826229,0.0000041379776,0.000029332194,0.000007934715,0.0004270287],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986302,0.000068507485,0.0005434787,0.00014134213,0.00046685172,0.00014957285],"domain_scores_gemma":[0.9990684,0.0001156121,0.00049956,0.00008753395,0.00019543433,0.000033484375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031317695,0.00008733954,0.00022315116,0.0006206754,0.000017642586,0.000007035324,0.000512887,0.00004518783,0.00076967094],"category_scores_gemma":[0.000150868,0.00009222797,0.000048906644,0.00022466476,0.000058140733,0.00010485402,0.00014147727,0.00034903738,6.6687477e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092997495,0.00025757257,0.07333339,0.000014995145,0.00015483875,0.0005936562,0.00035635897,0.0006868079,0.9159334,0.000049833256,0.003980374,0.0037088455],"study_design_scores_gemma":[0.005890116,0.0004130008,0.20896126,0.0001384399,0.00004930394,0.003817166,0.0035065757,0.0005933076,0.6505806,0.0015335202,0.123906344,0.00061039877],"about_ca_topic_score_codex":0.2804897,"about_ca_topic_score_gemma":0.6290158,"teacher_disagreement_score":0.3485261,"about_ca_system_score_codex":0.0010706036,"about_ca_system_score_gemma":0.0005574732,"threshold_uncertainty_score":0.8427357},"labels":[],"label_agreement":null},{"id":"W4389297587","doi":"10.1007/s00484-023-02590-5","title":"Thermal sensation prediction model for high-speed train occupants based on skin temperatures and skin wettedness","year":2023,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Thermal sensation; Thermal comfort; Skin temperature; Thermal; Simulation; Predictive modelling; Environmental science; Computer science; Automotive engineering; Meteorology; Engineering; Machine learning; Biomedical engineering","score_opus":0.03260836295459335,"score_gpt":0.3251891427182711,"score_spread":0.29258077976367775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389297587","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":[0.9915221,0.00001748244,0.0028142666,0.0048876107,0.00045611983,0.00015740316,0.00010192898,0.000027762728,0.00001532439],"genre_scores_gemma":[0.9968015,0.000016404672,0.00067236327,0.0018412455,0.0003993922,0.0000050803706,0.000106449996,0.000011776524,0.00014580716],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99899876,0.00009630712,0.00032972932,0.00014031546,0.0003070336,0.00012787168],"domain_scores_gemma":[0.9989046,0.0004219521,0.0001970774,0.000069772206,0.00032939052,0.00007719548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000438646,0.00010450788,0.00021381029,0.0006297156,0.00003941498,0.000018960993,0.00009499593,0.00012054626,0.00005315152],"category_scores_gemma":[0.00026966332,0.00007435722,0.00010041687,0.0001611986,0.000082301936,0.00006256436,0.000012946973,0.00012850272,0.0000038975754],"study_design_candidate":"bench_or_experimental","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":[0.03212288,0.00027108248,0.0010279658,0.00002779513,0.00031764185,0.00007317875,0.000390803,0.026679272,0.8917297,0.0011496459,0.0016935294,0.044516474],"study_design_scores_gemma":[0.003865027,0.0011812599,0.62011904,0.00005383203,0.000044628152,0.00006719986,0.00003701857,0.36454892,0.008552449,0.0011758335,0.0002777552,0.00007701255],"about_ca_topic_score_codex":0.000002582976,"about_ca_topic_score_gemma":8.4335187e-7,"teacher_disagreement_score":0.8831773,"about_ca_system_score_codex":0.000045858007,"about_ca_system_score_gemma":0.00007612705,"threshold_uncertainty_score":0.30321994},"labels":[],"label_agreement":null},{"id":"W4392851341","doi":"10.1007/s00484-024-02653-1","title":"Effects of street tree configuration and placement on roadside thermal environment within a tropical urban canyon","year":2024,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Microclimate; Urban heat island; Environmental science; Tree planting; Thermal comfort; Tree (set theory); Canyon; Vegetation (pathology); Urban planning; Urban forestry; Street canyon; Geography; Meteorology; Civil engineering; Agroforestry; Cartography; Engineering; Mathematics","score_opus":0.00525511495688002,"score_gpt":0.2200872382751419,"score_spread":0.21483212331826188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392851341","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":[0.9968379,0.0002143923,0.0010518575,0.0007515535,0.00061187526,0.00010555646,0.0000058290393,0.000005807479,0.00041523],"genre_scores_gemma":[0.9991883,0.00004898881,0.00037252746,0.00014030954,0.00014420692,0.0000047623353,0.0000047460558,0.000007532729,0.00008860845],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988791,0.00009355099,0.00036668303,0.0001473606,0.0004124609,0.0001008633],"domain_scores_gemma":[0.99950814,0.00019351866,0.00016780374,0.00005579475,0.000013377525,0.00006134458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017793328,0.00009741361,0.00014273479,0.0001830078,0.000016091753,0.0000193489,0.00014510649,0.00006636684,0.0003166819],"category_scores_gemma":[0.00003605034,0.000075058786,0.000055620694,0.00005638393,0.00015141923,0.00012908374,0.000046496218,0.00012712648,0.00002603335],"study_design_candidate":"bench_or_experimental","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":[0.00074425933,0.00029467425,0.07052689,0.000024760639,0.00039658483,0.0002981172,0.0015173054,0.0025077304,0.8821501,0.0021832422,0.0019337896,0.03742253],"study_design_scores_gemma":[0.0022080892,0.0036127805,0.7034629,0.00014126622,0.00012641649,0.00018884569,0.00009030747,0.0033014684,0.28132448,0.0008910338,0.004449316,0.00020312233],"about_ca_topic_score_codex":0.000043000913,"about_ca_topic_score_gemma":0.00003754391,"teacher_disagreement_score":0.632936,"about_ca_system_score_codex":0.00019074419,"about_ca_system_score_gemma":0.000018651148,"threshold_uncertainty_score":0.34674445},"labels":[],"label_agreement":null},{"id":"W4394741014","doi":"10.1007/s00484-024-02652-2","title":"A news update from the students and new professionals group of the International Society of Biometeorology","year":2024,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biometeorology; Executive committee; Medical education; Group (periodic table); Library science; Political science; Psychology; Medicine; Management; Ecology; Biology; Computer science; Chemistry","score_opus":0.05340996185060544,"score_gpt":0.3685327455657614,"score_spread":0.31512278371515595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394741014","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":[0.9284304,0.0010361042,0.0002004821,0.06680062,0.0031890105,0.000115252886,0.000120382094,0.000004492112,0.0001033024],"genre_scores_gemma":[0.9912455,0.0013925505,0.0010199437,0.005701217,0.00049137877,0.0000026073415,0.0000135538585,0.000010399018,0.00012281723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981723,0.00010341781,0.0006363586,0.0001708973,0.0007481658,0.0001688691],"domain_scores_gemma":[0.9986683,0.00051304704,0.00052117713,0.00013986308,0.00006569598,0.000091899936],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007400686,0.00011515708,0.00022809449,0.00012624764,0.000043029115,0.000036425175,0.00122795,0.00011030399,0.0012598236],"category_scores_gemma":[0.000108684166,0.000062836385,0.00018009097,0.00026701041,0.00036776793,0.0001959723,0.0007446286,0.00024010595,0.000018601057],"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":[0.0007170588,0.00047506782,0.4441942,0.000030854073,0.0013486907,0.00003467846,0.005209148,0.000025458348,0.20642783,0.0008516541,0.26198608,0.07869928],"study_design_scores_gemma":[0.0026490884,0.00071668375,0.79616314,0.00044535717,0.0001855438,0.0004356916,0.0010657782,0.00064401305,0.006498402,0.024912136,0.16605718,0.00022700152],"about_ca_topic_score_codex":0.00056022324,"about_ca_topic_score_gemma":0.00015900504,"teacher_disagreement_score":0.35196894,"about_ca_system_score_codex":0.00011020122,"about_ca_system_score_gemma":0.00007213181,"threshold_uncertainty_score":0.99965316},"labels":[],"label_agreement":null},{"id":"W4402664765","doi":"10.1007/s00484-024-02782-7","title":"Gaps and linkages between biometeorological research across the Global South: a call for new efforts to advance biometeorology in the Global South","year":2024,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biometeorology; Geography; Climatology; Environmental science; Environmental resource management; Regional science; Geology","score_opus":0.10211118293084265,"score_gpt":0.4543578949536954,"score_spread":0.35224671202285274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402664765","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":[0.93169886,0.0016902196,0.0021673578,0.06215125,0.0011044783,0.00047443344,0.00055236125,0.000015964346,0.00014508257],"genre_scores_gemma":[0.9938796,0.00020434948,0.0013208693,0.0034712807,0.0010406999,0.000028087643,0.000014542645,0.000012292706,0.000028271694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967101,0.00039108883,0.0007271423,0.00044788624,0.0008287173,0.0008950228],"domain_scores_gemma":[0.9976905,0.0014286024,0.00020096263,0.00022731353,0.00011370874,0.00033893948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046148826,0.00022096577,0.00037652696,0.00033422353,0.00018427851,0.00021309555,0.0013526209,0.0002639762,0.00012952813],"category_scores_gemma":[0.00087041635,0.00012640236,0.00014679546,0.0016020355,0.0007011874,0.00019952463,0.0006031564,0.0004859651,0.00009623855],"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":[0.0015374984,0.0002446292,0.71484935,0.00007333552,0.00037563202,0.00090225996,0.01583317,0.00015898493,0.0021707397,0.0029776965,0.017954575,0.24292211],"study_design_scores_gemma":[0.002026504,0.004321338,0.7408343,0.00011343157,0.000068335336,0.0015600084,0.0011424596,0.0002002991,0.00013533175,0.06320999,0.18606336,0.00032464747],"about_ca_topic_score_codex":0.00028597112,"about_ca_topic_score_gemma":0.00044954475,"teacher_disagreement_score":0.24259746,"about_ca_system_score_codex":0.0005270352,"about_ca_system_score_gemma":0.000093444214,"threshold_uncertainty_score":0.5154538},"labels":[],"label_agreement":null},{"id":"W4402950440","doi":"10.1007/s00484-024-02785-4","title":"Forecasting thermal stress for sports tourists at the 2026 FIFA World Cup","year":2024,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":6,"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":"Heat stress; Tournament; Tourism; Football; Stadium; Stress (linguistics); Advertising; Meteorology; Engineering; Business; Geography; Environmental science; Mathematics; Atmospheric sciences","score_opus":0.04981837236211217,"score_gpt":0.33643362345459565,"score_spread":0.2866152510924835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402950440","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":[0.9760371,0.0007620886,0.00020711901,0.017332194,0.0030785268,0.000121713914,0.00008051339,0.000009527018,0.0023712302],"genre_scores_gemma":[0.9963029,0.00009538813,0.00032922457,0.0010654589,0.0010830758,0.0000063430593,0.000012925356,0.000013158973,0.0010915466],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988837,0.00003059722,0.00035531275,0.00012790736,0.00036154714,0.00024091173],"domain_scores_gemma":[0.9992021,0.0003839507,0.00020613073,0.00007595802,0.000042027248,0.00008986133],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006042701,0.000090799906,0.00012529218,0.00018412404,0.00009112549,0.00005100342,0.00034349776,0.000045649558,0.004436662],"category_scores_gemma":[0.000069995935,0.000057177316,0.00011657305,0.00016108945,0.00011216792,0.00016627423,0.00016225282,0.00014038428,0.000049929422],"study_design_candidate":"not_applicable","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":[0.001203589,0.00019777476,0.1035367,0.00007493417,0.00032554372,0.0014508638,0.0027038055,0.0014665691,0.018946344,0.0002995326,0.18215162,0.68764275],"study_design_scores_gemma":[0.0018895325,0.0010859319,0.1308079,0.0004912848,0.00015929848,0.0032905887,0.00033891303,0.014325802,0.009763723,0.007611178,0.82977235,0.0004634742],"about_ca_topic_score_codex":0.000050682494,"about_ca_topic_score_gemma":0.0005600116,"teacher_disagreement_score":0.68717927,"about_ca_system_score_codex":0.00023834055,"about_ca_system_score_gemma":0.000018148394,"threshold_uncertainty_score":0.99647343},"labels":[],"label_agreement":null},{"id":"W4406816900","doi":"10.1007/s00484-025-02852-4","title":"Extreme heat risk and the potential implications for the scheduling of football matches at the 2026 FIFA World Cup","year":2025,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Wet-bulb globe temperature; Meteorology; Climate change; Climatology; Extreme heat; Football; Environmental science; Extreme weather; Heat stress; Heat index; Global warming; Geography; Air temperature; Atmospheric sciences; Oceanography","score_opus":0.03988335760310072,"score_gpt":0.329002217893919,"score_spread":0.28911886029081824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406816900","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":[0.78293306,0.0023868962,0.007839789,0.205201,0.0008524948,0.0002922349,0.000078645826,0.0000032600205,0.00041264476],"genre_scores_gemma":[0.99500597,0.0017843549,0.000488714,0.002224054,0.00016512083,0.000015453574,0.000002969329,0.0000045040874,0.00030887433],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991513,0.000085720414,0.000365162,0.000092348106,0.00015954474,0.00014591799],"domain_scores_gemma":[0.99821216,0.0012543597,0.00029139093,0.00013526682,0.000070876784,0.000035970537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010296924,0.00007036911,0.00013919802,0.00010812556,0.00023208038,0.00002838245,0.0004897201,0.00003635655,0.00028716758],"category_scores_gemma":[0.00018547507,0.000032806183,0.00010736985,0.00017298768,0.00051257527,0.0000663597,0.00025020572,0.00013272472,0.0000051717434],"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":[0.008820459,0.00049999356,0.36729097,0.00007062247,0.0020575856,0.000009870654,0.004521648,0.010294163,0.13780162,0.018836245,0.07046371,0.37933314],"study_design_scores_gemma":[0.0052168886,0.0002982856,0.8365438,0.00007860298,0.0004485883,0.00027218135,0.0006977443,0.0062313615,0.0026301558,0.08054758,0.0668776,0.00015721189],"about_ca_topic_score_codex":0.00023559168,"about_ca_topic_score_gemma":0.00066174613,"teacher_disagreement_score":0.46925282,"about_ca_system_score_codex":0.000090028996,"about_ca_system_score_gemma":0.00002033851,"threshold_uncertainty_score":0.31442836},"labels":[],"label_agreement":null},{"id":"W4407293469","doi":"10.1007/s00484-025-02864-0","title":"Medical mud-pack treatment with different temperatures in patients with knee osteoarthritis","year":2025,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Therapeutic Uses of Natural Elements","field":"Health Professions","cited_by":5,"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":"Osteoarthritis; WOMAC; Medicine; Physical therapy; Visual analogue scale; Randomized controlled trial; Patient satisfaction; Surgery; Alternative medicine","score_opus":0.013299765831868315,"score_gpt":0.36249023234201827,"score_spread":0.34919046651014995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407293469","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":[0.99090165,0.0003267419,0.000079492806,0.0064247902,0.0016090258,0.00033079428,0.000028671879,0.00001041497,0.0002884018],"genre_scores_gemma":[0.9967418,0.00008056491,0.0002801714,0.0023677065,0.00016226112,0.000024048075,0.000025407884,0.000012809572,0.0003052692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978378,0.00029536212,0.0006721354,0.00017415087,0.0007148012,0.0003057976],"domain_scores_gemma":[0.99840677,0.00037505722,0.00039119023,0.00012876098,0.0005865348,0.00011166863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020324552,0.00018043772,0.0003883952,0.00081433565,0.000073471616,0.000011721543,0.0003862411,0.00018531135,0.00057119055],"category_scores_gemma":[0.000059053622,0.00010139119,0.000060786122,0.00022706519,0.000114361064,0.000113459595,0.0000774759,0.00055371446,0.000009967722],"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":[0.0055384524,0.0006028587,0.91871154,0.000010055752,0.00075540773,0.00022728347,0.00028978707,0.0000016272895,0.00010284358,0.00052089145,0.00028131958,0.07295795],"study_design_scores_gemma":[0.028004948,0.007997748,0.9424285,0.00064702524,0.00006605664,0.000042502623,0.00016337226,0.000006607197,0.000111310655,0.00036198588,0.020024048,0.00014588867],"about_ca_topic_score_codex":0.000057581266,"about_ca_topic_score_gemma":0.00057621335,"teacher_disagreement_score":0.07281206,"about_ca_system_score_codex":0.00048653426,"about_ca_system_score_gemma":0.00041001927,"threshold_uncertainty_score":0.6254136},"labels":[],"label_agreement":null},{"id":"W4408274515","doi":"10.1007/s00484-025-02882-y","title":"Effects of heat load on beef cattle activity budgets in a northern temperate grazing system","year":2025,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; Thompson Rivers University; Alberta Crop Industry Development Fund; Agriculture and Agri-Food Canada; University of Alberta","funders":"Alberta Innovates; Alberta Beef Producers","keywords":"Grazing; Temperate climate; Beef cattle; Heat load; Environmental science; Animal science; Cattle grazing; Ecology; Biology","score_opus":0.005403650047394959,"score_gpt":0.23189670849675006,"score_spread":0.2264930584493551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408274515","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":[0.99741083,0.00025215198,0.000009148053,0.0012883582,0.0006431974,0.00011867468,0.000010780913,0.0000063438415,0.00026053406],"genre_scores_gemma":[0.99970245,0.000030682037,0.000028175662,0.0001192669,0.00009020043,0.0000050490876,0.0000020161885,9.0110433e-7,0.000021261993],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989377,0.00016910848,0.00030740577,0.00014545022,0.0002974837,0.00014285173],"domain_scores_gemma":[0.9989769,0.0006386206,0.00020662324,0.00003269465,0.00010317158,0.000042004645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002755115,0.00010949833,0.00026401936,0.00012498307,0.000028426752,0.000014385612,0.00038631345,0.00009367014,0.000008819769],"category_scores_gemma":[0.00010882184,0.00004980814,0.000111782145,0.0002038503,0.000083373976,0.000091577465,0.00007999343,0.0001600244,0.00000756869],"study_design_candidate":"bench_or_experimental","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":[0.0005582606,0.00035022295,0.087092645,0.00002491987,0.000115992116,0.000056119494,0.000024777923,0.00020725992,0.8912266,0.00011557073,0.000026489899,0.02020115],"study_design_scores_gemma":[0.00071199413,0.00097106217,0.8577057,0.00023235151,0.00001498456,0.000030640902,0.000032468306,0.000033682536,0.13991752,0.00010376156,0.00017363779,0.00007219223],"about_ca_topic_score_codex":0.00036782984,"about_ca_topic_score_gemma":0.00077641074,"teacher_disagreement_score":0.7706131,"about_ca_system_score_codex":0.00027081254,"about_ca_system_score_gemma":0.000016360502,"threshold_uncertainty_score":0.20311171},"labels":[],"label_agreement":null},{"id":"W4410327496","doi":"10.1007/s00484-025-02927-2","title":"The effectiveness of a 3-week spa therapy on the 6-month mobility and functional ability of patients with knee osteoarthritis: the ANGELLO randomized controlled trial","year":2025,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Therapeutic Uses of Natural Elements","field":"Health Professions","cited_by":3,"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":"WOMAC; Physical therapy; Osteoarthritis; Medicine; Randomized controlled trial; Quality of life (healthcare); Visual analogue scale; Physical medicine and rehabilitation; Internal medicine; Alternative medicine","score_opus":0.01871707176038327,"score_gpt":0.3413575348857767,"score_spread":0.3226404631253934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410327496","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":[0.9884139,0.0010547356,0.00011417755,0.0032875186,0.0025253037,0.004370085,0.000040570245,0.0000041180533,0.00018964068],"genre_scores_gemma":[0.9989116,0.00012824175,0.000019517198,0.0005180899,0.00010813477,0.00027262894,0.000004413576,0.0000070013125,0.000030327492],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9917213,0.006111795,0.0011976211,0.00015216353,0.0006326592,0.00018450824],"domain_scores_gemma":[0.96162593,0.03508485,0.0014071527,0.00023847148,0.0016134151,0.00003014699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008675734,0.00015650797,0.0008568139,0.00019657318,0.0002484073,0.000012198753,0.00043783616,0.00011908511,0.00008251783],"category_scores_gemma":[0.0023079158,0.000057826943,0.00029849415,0.00018442536,0.0008822305,0.00007065786,0.00008974471,0.0005138921,8.643152e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.97530997,0.00056030334,0.009989067,0.000013967645,0.002076512,6.670155e-7,0.00017654088,0.000007832285,0.00059075083,0.0033154734,0.000041307652,0.007917607],"study_design_scores_gemma":[0.749143,0.003143895,0.23855728,0.00013119321,0.00012442253,0.0000011731928,0.00013666315,0.000016066711,0.00017839833,0.008014792,0.00050533115,0.00004775265],"about_ca_topic_score_codex":0.000048569247,"about_ca_topic_score_gemma":0.000035014826,"teacher_disagreement_score":0.22856821,"about_ca_system_score_codex":0.000095607895,"about_ca_system_score_gemma":0.00028840665,"threshold_uncertainty_score":0.32506153},"labels":[],"label_agreement":null},{"id":"W4414494187","doi":"10.1007/s00484-025-03022-2","title":"Spatiotemporal assessment and background climate drivers of atmospheric urban heat island in Guangdong province, China","year":2025,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Urban heat island; Climate change; Relative humidity; Wind speed; Ordinary least squares; Urban climate; China; Climate model; Atmospheric temperature","score_opus":0.005241854883259035,"score_gpt":0.26749964433391915,"score_spread":0.26225778945066014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414494187","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":[0.9948443,0.00009137837,0.0014241129,0.0008880519,0.00046531102,0.000093529176,0.0000117260815,0.0000031172995,0.002178485],"genre_scores_gemma":[0.99633914,0.00011358604,0.0032946058,0.000114729315,0.000035049292,0.0000017787178,0.0000064354062,0.0000044616622,0.000090196765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893516,0.00008201652,0.00045229652,0.00013628213,0.00025770228,0.00013655002],"domain_scores_gemma":[0.9995836,0.00006841728,0.00020521882,0.00007109798,0.00003548664,0.000036187703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003862616,0.00008884347,0.00019689799,0.00012945247,0.000022112188,0.000018522864,0.00022376206,0.00006903217,0.00026033956],"category_scores_gemma":[0.000016128859,0.00007776544,0.000047240526,0.00021484125,0.00018690198,0.00025131213,0.00013476977,0.00013065849,0.000003130131],"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":[0.00010746632,0.00009622496,0.9848969,0.000008155014,0.000055333134,0.000042034644,0.00014680742,0.00027969232,0.007896301,0.0004387103,0.0007665856,0.0052658073],"study_design_scores_gemma":[0.0011961422,0.00026182778,0.99336517,0.00004081406,0.000017448125,0.00005679838,0.000059769718,0.002192196,0.00059624284,0.0008537363,0.0012940916,0.00006574141],"about_ca_topic_score_codex":0.00033820397,"about_ca_topic_score_gemma":0.00050538284,"teacher_disagreement_score":0.008468309,"about_ca_system_score_codex":0.00028067484,"about_ca_system_score_gemma":0.00005762585,"threshold_uncertainty_score":0.31711826},"labels":[],"label_agreement":null},{"id":"W4415239627","doi":"10.1007/s00484-025-03038-8","title":"Bridging accuracy and efficiency: advancing mean radiant temperature measurement in urban ecology","year":2025,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Faculty of Forestry, University of British Columbia","keywords":"Thermometer; Mean radiant temperature; Wet-bulb globe temperature; Globe; Bridging (networking); Thermal comfort; Urban heat island; Metric (unit)","score_opus":0.00609157218292967,"score_gpt":0.24161645616293476,"score_spread":0.2355248839800051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415239627","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":[0.99300236,0.00039573334,0.00083077815,0.0041282903,0.000999854,0.00008740657,0.0000025403772,0.0000054383904,0.0005475891],"genre_scores_gemma":[0.9983215,0.00008457068,0.00060121954,0.00086100335,0.00008383407,0.0000027831925,0.0000014426008,0.000004440837,0.00003922007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881005,0.00010688667,0.00040878766,0.00016538445,0.0003166873,0.00019220318],"domain_scores_gemma":[0.9994918,0.00012751982,0.00017940515,0.000070645656,0.00007462254,0.00005601121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009318663,0.00009261683,0.00017349614,0.0004885054,0.000037127185,0.000025991336,0.00027744716,0.00008085895,0.00012838237],"category_scores_gemma":[0.00037027738,0.00008136949,0.000042088985,0.00025857595,0.00012164639,0.00021012734,0.00010698613,0.000201424,0.000008112288],"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":[0.00018417965,0.00015712818,0.63570863,0.00000700744,0.000097615804,0.00018366752,0.00090406527,0.00085410813,0.3177263,0.00030743488,0.004091535,0.03977834],"study_design_scores_gemma":[0.0024066926,0.00031094783,0.9696262,0.00010327241,0.0000328137,0.0004492214,0.00011959545,0.0018291958,0.015172531,0.0016274047,0.008146458,0.00017567415],"about_ca_topic_score_codex":0.00007709809,"about_ca_topic_score_gemma":0.00047377273,"teacher_disagreement_score":0.3339176,"about_ca_system_score_codex":0.00052216125,"about_ca_system_score_gemma":0.00006768762,"threshold_uncertainty_score":0.33181515},"labels":[],"label_agreement":null}]}