{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7507,"total_is_capped":false,"direct_labels_cover":35,"predictions_cover":7507,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"708383270669","filters":{"venue":"Borealis"}},"results":[{"id":"W3109943296","doi":"10.5683/sp2/e8h2mf","title":"Toronto emotional speech set (TESS)","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":209,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"","keywords":"Sadness; Surprise; Disgust; Psychology; Anger; Happiness; Phrase; Set (abstract data type); Linguistics; Social psychology; Computer science","authors":[{"name":"M. Kathleen Pichora‐Fuller","is_ca":true},{"name":"Kate Dupuis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05605900726288417,"gpt":0.3742205360038319,"spread":0.3181615287409477,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001381502,0.004582015,0.001819914,0.003020066,0.00134112,0.001803095,0.00395933,0.002446135,0.04665916],"category_scores_gemma":[0.003602389,0.0006972366,0.001578232,0.002444989,0.0007024435,0.0009482861,0.003042801,0.001762015,0.08405104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001909197,"about_ca_system_score_gemma":0.002130613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04838967,"about_ca_topic_score_gemma":0.07884625,"domain_scores_codex":[0.9986223,0.0003109887,0.0001453555,0.0003924536,0.0003364736,0.0001924698],"domain_scores_gemma":[0.9983047,0.0003329263,0.0001209174,0.0005485371,0.0004846423,0.0002082948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008943559,0.0003653136,0.003006723,0.002038296,0.0001672413,0.0004911732,0.0002324966,0.001567126,0.002562728,0.0007606546,0.9509976,0.03691622],"study_design_scores_gemma":[0.00102881,0.0003281505,0.03891987,0.0006803718,0.0002550596,0.00129564,0.0005030718,0.004179204,0.004391537,0.001195539,0.9470415,0.0001814005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005963435,0.0005217067,0.0007926198,0.00009561933,0.0001705168,0.0002964072,0.9868644,0.00173882,0.003556549],"genre_scores_gemma":[0.00244431,0.00009387656,0.0006588058,0.00002879417,0.00001843806,0.0003506818,0.9947469,0.00008709703,0.001571072],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04838967,"threshold_uncertainty_score":0.1560905,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6969402061","doi":"10.5683/sp2/bc4atc","title":"Data Quality Flags for ACE-FTS Level 2 Version 4.1/4.2 Data Set","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"FLAGS register; Data set; Data quality; Set (abstract data type); Quality (philosophy); Data processing","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.2215683737428061,"gpt":0.3622512688252381,"spread":0.140682895082432,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00177658,0.002429397,0.001353186,0.004034278,0.0009232298,0.001943666,0.002613447,0.002073081,0.02098109],"category_scores_gemma":[0.00561847,0.0006877601,0.001539258,0.005470613,0.0005445628,0.001576061,0.001656817,0.002156465,0.03572698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655422,"about_ca_system_score_gemma":0.002246229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04464883,"about_ca_topic_score_gemma":0.06610075,"domain_scores_codex":[0.9980737,0.0002046399,0.0002665319,0.0006008882,0.0005973799,0.0002567905],"domain_scores_gemma":[0.9976168,0.0003303203,0.0003012168,0.0006604067,0.0009087574,0.0001826246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001131657,0.00004994606,0.003406862,0.0004966125,0.00006588317,0.0000468978,0.00003646797,0.001062519,0.000409331,0.0007777032,0.9897569,0.003777749],"study_design_scores_gemma":[0.000200629,0.00003154669,0.02209898,0.0001801397,0.00005283596,0.0001174269,0.000123938,0.001790983,0.001357877,0.001801655,0.9721628,0.00008123311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003963966,0.00004547256,0.0001883163,0.00004490804,0.00003479175,0.00001612575,0.9980653,0.000528273,0.0006804328],"genre_scores_gemma":[0.0006130967,0.0000182659,0.0003344707,0.00002453159,0.000005284044,0.00003693541,0.9985964,0.00006045654,0.0003105415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04464883,"threshold_uncertainty_score":0.0887779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6932047412","doi":"10.5683/sp2/xiw8ew","title":"The State of Social Media in Canada 2020","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"Adrenal Hormones and Disorders","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Social media; Snapshot (computer storage); State (computer science); Framing (construction); The Internet","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0105493131045495,"gpt":0.2405618848423567,"spread":0.2300125717378072,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007770905,0.001154057,0.0008999351,0.007003023,0.001993249,0.003356642,0.001829827,0.0007423826,0.0084905],"category_scores_gemma":[0.005154339,0.0005159594,0.001142037,0.02085645,0.0005002541,0.001029641,0.001460367,0.00139772,0.004955227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03031026,"about_ca_system_score_gemma":0.04718467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951611,"about_ca_topic_score_gemma":0.9963778,"domain_scores_codex":[0.9985979,0.00005589107,0.0001137074,0.0001926408,0.0006316173,0.0004082226],"domain_scores_gemma":[0.9951095,0.0002571937,0.0003570222,0.0001938625,0.003430509,0.0006518221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001772076,0.00003339188,0.0552627,0.0009283988,0.0001708298,0.0001149664,0.000285389,0.000861992,0.0001747697,0.001934494,0.9225724,0.01748343],"study_design_scores_gemma":[0.00009066693,0.00002359349,0.34556,0.0007625716,0.0001687572,0.0001776231,0.001116419,0.002954481,0.0006674846,0.0007187707,0.6476215,0.0001381636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002742061,0.0004238836,0.00003878127,0.0002751437,0.00002528322,0.00001295785,0.9946268,0.0001073506,0.001747736],"genre_scores_gemma":[0.01435615,0.001009045,0.0003281762,0.0001767377,0.00001989871,0.00005364527,0.9813013,0.00003258942,0.002722481],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03031026,"threshold_uncertainty_score":0.2199174,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6950614701","doi":"10.5683/sp2/nlb8it","title":"CapnoBase IEEE TBME Respiratory Rate Benchmark","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Benchmark (surveying); Photoplethysmogram; Pulse oximetry; Pulse (music); Waveform","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03644882930871308,"gpt":0.283345223698838,"spread":0.246896394390125,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002222226,0.005527348,0.00236683,0.003216541,0.001780114,0.002473004,0.005671892,0.003982338,0.01819084],"category_scores_gemma":[0.005860258,0.0006374235,0.001889773,0.00329831,0.0007304863,0.001957097,0.002591386,0.002374497,0.03565315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002793164,"about_ca_system_score_gemma":0.002500294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05300443,"about_ca_topic_score_gemma":0.0855977,"domain_scores_codex":[0.996747,0.0006468884,0.0003591543,0.0007822238,0.001102444,0.0003622661],"domain_scores_gemma":[0.9977877,0.0003545833,0.0001402896,0.0005991317,0.0009133141,0.0002050829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003142696,0.000226394,0.000660392,0.0007029756,0.00007417906,0.00007970237,0.00002045954,0.002453365,0.0007031352,0.0003977341,0.9737534,0.02061401],"study_design_scores_gemma":[0.0007635608,0.0005141686,0.01102118,0.0007531584,0.0002023616,0.001130949,0.0003176762,0.03769111,0.008813577,0.003515698,0.9350252,0.0002514286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009294452,0.002658381,0.004143395,0.001087481,0.001259818,0.0005854805,0.9553308,0.01210378,0.01353646],"genre_scores_gemma":[0.004360988,0.0001947021,0.002792329,0.0001937834,0.00005780465,0.0002203017,0.9894896,0.0002284749,0.002461903],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05300443,"threshold_uncertainty_score":0.1053919,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6913036485","doi":"10.5683/sp3/naynfe","title":"Data Quality Flags for ACE-FTS Level 2 Version 5.2 Data Set","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Isotopologue; Data quality; Occultation; Data set; FLAGS register; NetCDF; Set (abstract data type)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.4764847707252839,"gpt":0.4588637051244799,"spread":0.01762106560080401,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002291931,0.00187052,0.001420282,0.004544149,0.00118961,0.002928717,0.002513913,0.001826167,0.04316348],"category_scores_gemma":[0.008026955,0.000843438,0.001381248,0.006567904,0.0004589413,0.002023428,0.00159952,0.002182283,0.05964919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078332,"about_ca_system_score_gemma":0.002498813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0415106,"about_ca_topic_score_gemma":0.03947974,"domain_scores_codex":[0.9970198,0.0002705207,0.0004314943,0.0008203892,0.001102353,0.0003554662],"domain_scores_gemma":[0.9953173,0.0006947162,0.0005516322,0.001313747,0.001874624,0.0002480814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008966634,0.00004376624,0.002857896,0.0002863956,0.00004000505,0.00003102053,0.00003926115,0.0006015343,0.0004146515,0.000762153,0.9907732,0.004060436],"study_design_scores_gemma":[0.0001512681,0.00001787321,0.01427832,0.0001024828,0.00002988493,0.00005465031,0.00008980004,0.001026404,0.001488444,0.001224418,0.9814699,0.00006653037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004119657,0.00002339819,0.0002618568,0.00004461793,0.00003005023,0.00002770713,0.997386,0.0008418313,0.0009726767],"genre_scores_gemma":[0.0006623846,0.00001225888,0.0007025748,0.0000295419,0.000007068552,0.0000779218,0.9977679,0.0002083095,0.0005319522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04316348,"threshold_uncertainty_score":0.1443962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6894346259","doi":"10.5683/sp/fllhov","title":"Canadian Business Counts, Dissemination Area (DA) Level [custom tabulation]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Product (mathematics); Dissemination; Business model; Business analysis; Product line","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04399478226781182,"gpt":0.2939613088623352,"spread":0.2499665265945234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008102711,0.00210219,0.001359326,0.007505855,0.002496226,0.003337264,0.003396884,0.001296779,0.06628034],"category_scores_gemma":[0.008393917,0.000831348,0.001184726,0.02117174,0.0005228656,0.001260624,0.00159377,0.001946854,0.05893711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01533465,"about_ca_system_score_gemma":0.03568254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9544973,"about_ca_topic_score_gemma":0.9734715,"domain_scores_codex":[0.9981146,0.00009292861,0.0001222819,0.0003515826,0.0007910254,0.0005275792],"domain_scores_gemma":[0.9939236,0.0003382944,0.000317866,0.0006189521,0.004279319,0.0005219227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001710511,0.000005136021,0.0005686861,0.0001039901,0.000009480152,0.000006573282,0.000013348,0.00009817358,0.00002390437,0.0003937015,0.9976489,0.001110904],"study_design_scores_gemma":[0.00007093554,0.000005755763,0.009144864,0.0001585195,0.00002115607,0.00002267416,0.0001207341,0.0003577493,0.0002275037,0.0004930674,0.9893367,0.00004018594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007041371,0.00002232247,0.00002170048,0.00003353061,0.00001069952,0.000005577,0.9990081,0.0001018103,0.0007258506],"genre_scores_gemma":[0.0003704325,0.00003514321,0.0001568769,0.00002240461,0.000003729411,0.00002430339,0.9981399,0.00004103238,0.001206188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06628034,"threshold_uncertainty_score":0.2217298,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6894250423","doi":"10.5683/sp2/84pnsg","title":"2011 - 2021 OA APCs","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Documentation; Metadata; Set (abstract data type); Process (computing); Focus (optics); Column (typography); Work (physics)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02354717134380024,"gpt":0.275553974537379,"spread":0.2520068031935788,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002474084,0.001678412,0.001441803,0.007751971,0.001251998,0.00554641,0.002751556,0.001496926,0.09462572],"category_scores_gemma":[0.01618045,0.000846825,0.0014327,0.01308668,0.0006698517,0.002402757,0.002815816,0.00195233,0.214461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003150825,"about_ca_system_score_gemma":0.005066273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0532927,"about_ca_topic_score_gemma":0.09312119,"domain_scores_codex":[0.9961217,0.0004986734,0.0005349842,0.0009892555,0.001298945,0.0005564005],"domain_scores_gemma":[0.9924452,0.0009616951,0.0008779374,0.002211538,0.002666559,0.000837039],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007626678,0.00001446611,0.001319543,0.0002806797,0.00002315979,0.00001754318,0.00002362292,0.0001059279,0.0001191341,0.0006562208,0.9948642,0.002499377],"study_design_scores_gemma":[0.00006994251,0.00001148702,0.005052784,0.0001354144,0.00001524886,0.00004391888,0.00006797536,0.0001132922,0.0002197981,0.0005937775,0.9936533,0.00002301258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001227714,0.00004760103,0.00006810507,0.00005580228,0.00003904185,0.00001153732,0.9974738,0.0005002664,0.001681054],"genre_scores_gemma":[0.0002850871,0.00003133448,0.0002083597,0.00004459321,0.00001151591,0.00003813263,0.99805,0.0001423563,0.001188722],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9975259,"threshold_uncertainty_score":0.3165545,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6931578649","doi":"10.5683/sp3/imyncl","title":"PTEXL - Geothermobarometry of Mantle Rocks","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Neurogenesis and neuroplasticity mechanisms","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Geothermobarometry; Mantle (geology); Paleozoic; Puddling; Diamond","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03244651991327778,"gpt":0.2620245045665596,"spread":0.2295779846532818,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009203742,0.00380749,0.001866198,0.00419206,0.0007998316,0.001946066,0.003298345,0.002593365,0.03201693],"category_scores_gemma":[0.003191162,0.000943839,0.002397279,0.005312102,0.0005887569,0.001313475,0.001871097,0.001681011,0.05429691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165723,"about_ca_system_score_gemma":0.001960929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0220665,"about_ca_topic_score_gemma":0.04635502,"domain_scores_codex":[0.9991515,0.00009836046,0.0000886128,0.0003451368,0.0001919718,0.0001244287],"domain_scores_gemma":[0.9989127,0.0003214476,0.0001382392,0.0003035087,0.000227275,0.00009678413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002278487,0.00009440712,0.003508905,0.002156062,0.0001800892,0.00009263615,0.00007993111,0.002942577,0.001122714,0.0006892816,0.9775646,0.01134095],"study_design_scores_gemma":[0.000840519,0.00005742004,0.01532371,0.0004944479,0.0001772684,0.0001840601,0.0001523115,0.003928664,0.003236809,0.003661559,0.9718087,0.0001345483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005616164,0.000102558,0.0002307672,0.000026843,0.00001591873,0.00001444522,0.9968623,0.001776225,0.0004094027],"genre_scores_gemma":[0.001011288,0.00007207738,0.001093557,0.00003420267,0.000005804749,0.0001134608,0.9970424,0.0001455453,0.0004816668],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03201693,"threshold_uncertainty_score":0.1071073,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6950581340","doi":"10.5683/sp2/ewfmjl","title":"Hypoxia-seeking behavior, metabolic depression and skeletal muscle function in an amphibious fish out of water","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Acclimatization; Hypoxia (environmental); Skeletal muscle; Fish <Actinopterygii>; Metabolic rate; Leg muscle; Respiration; Locomotor activity","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02367662477814342,"gpt":0.2667423326484479,"spread":0.2430657078703045,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006986118,0.0001826186,0.0001734326,0.0002410659,0.000196824,0.0001384612,0.0001424302,0.0002232326,0.001217423],"category_scores_gemma":[0.0001052754,0.0001623163,0.0001700538,0.00007552152,0.0003110823,0.0001803964,0.000211968,0.0003339925,0.0001094405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003464418,"about_ca_system_score_gemma":0.0001246675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002714701,"about_ca_topic_score_gemma":0.005140252,"domain_scores_codex":[0.9999558,0.000004106109,0.000003774966,0.0000154586,0.000008252277,0.00001264679],"domain_scores_gemma":[0.9998825,0.000006102957,0.00004861386,0.000008899666,0.000009161362,0.00004469588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003691795,0.00009198823,0.01389523,0.00002020179,0.0000110492,0.00007205353,0.0001098429,0.00004034432,0.9845285,0.00002013215,0.00001681351,0.000824604],"study_design_scores_gemma":[0.00002155519,0.002653874,0.9188462,0.00000511497,0.0000304767,0.0002676297,0.0003034227,0.000450168,0.07712248,0.00003477523,0.0002508099,0.00001351498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.999849,0.00001316333,0.0000310806,0.000007729087,7.282134e-7,0.00000263613,0.00002419339,0.000001900291,0.00006955767],"genre_scores_gemma":[0.9986658,0.00003613893,0.0002534589,0.0000308924,0.000002221222,0.00002469373,0.0001322449,0.00000318874,0.0008513348],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.002714701,"threshold_uncertainty_score":0.005397797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6931714364","doi":"10.5683/sp2/pxf2cu","title":"COVID-19 Twitter Dataset","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Social media; Python (programming language); Sample (material); Software; Sampling (signal processing); Coronavirus disease 2019 (COVID-19)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0698773696104188,"gpt":0.3445561891220138,"spread":0.274678819511595,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001105126,0.002156276,0.001304338,0.004209863,0.001870452,0.001987342,0.002553923,0.002221744,0.02279354],"category_scores_gemma":[0.005522117,0.0004860286,0.001338893,0.005349202,0.0003920844,0.002725952,0.002426178,0.001903343,0.05361924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508123,"about_ca_system_score_gemma":0.001982377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02143227,"about_ca_topic_score_gemma":0.04110391,"domain_scores_codex":[0.9980472,0.0003566973,0.0002758173,0.0004443869,0.0005902681,0.0002856349],"domain_scores_gemma":[0.9979458,0.000378546,0.0001924214,0.0004781412,0.0007605152,0.0002445381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001269599,0.0000624341,0.002606594,0.0005833847,0.00003922882,0.0000790615,0.00006373304,0.0007001759,0.0005580429,0.0007139311,0.9873815,0.007084987],"study_design_scores_gemma":[0.0001888684,0.0001022168,0.01274772,0.0002878356,0.00005003116,0.0002284651,0.0004464466,0.006872507,0.001330738,0.001764606,0.975874,0.0001064931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00204659,0.0002323067,0.0004086574,0.0003418365,0.0002158176,0.0001187856,0.99163,0.001476219,0.003529765],"genre_scores_gemma":[0.001755437,0.00009328988,0.0008975075,0.0001402089,0.00004076167,0.0001880852,0.9956082,0.00009096776,0.001185567],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02279354,"threshold_uncertainty_score":0.07625198,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6912818192","doi":"10.5683/sp2/0dipge","title":"OA APC longitudinal study dataset 2019","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Longitudinal study; Longitudinal data; Data collection; MEDLINE","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0642937643494994,"gpt":0.3460719113528516,"spread":0.2817781470033522,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002379603,0.001279106,0.001510284,0.002765791,0.0007100834,0.002212566,0.002838902,0.001364878,0.1112997],"category_scores_gemma":[0.02232816,0.0008058693,0.001182785,0.007508331,0.0002717861,0.0009395579,0.001751357,0.001816508,0.07730942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001913056,"about_ca_system_score_gemma":0.004819797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06825501,"about_ca_topic_score_gemma":0.08935396,"domain_scores_codex":[0.9981624,0.000339889,0.0004200152,0.0004327479,0.0003772419,0.0002676905],"domain_scores_gemma":[0.9924105,0.001797775,0.001244041,0.001167453,0.002710839,0.0006692866],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001171619,0.00001465885,0.001518822,0.0004163336,0.00006672747,0.00001326163,0.00001243198,0.00009910207,0.00002753745,0.0002683407,0.9960579,0.001387683],"study_design_scores_gemma":[0.001583933,0.00006352425,0.02770729,0.001089378,0.0002893461,0.0001237711,0.0001427404,0.0004651043,0.0001987054,0.002089397,0.9661762,0.00007067373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000821521,0.00003360966,0.00004509805,0.00005432651,0.00001383513,0.00001404121,0.9993311,0.00005783055,0.0003679925],"genre_scores_gemma":[0.0008218822,0.00005161004,0.0001944931,0.00009073025,0.00001849663,0.0002414205,0.9974279,0.00005629273,0.001097129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9976204,"threshold_uncertainty_score":0.3723345,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6950784873","doi":"10.5683/sp3/0yfjed","title":"Pelagic Species Trait Database","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Predation; Pelagic zone; Trait; Habitat; Selection (genetic algorithm); Resource (disambiguation); Apex predator; Vulnerability (computing)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.05435804729003639,"gpt":0.2960495710069486,"spread":0.2416915237169122,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006837056,0.0007538469,0.0009093821,0.004683389,0.0006172071,0.001229778,0.001190034,0.0005605692,0.1412206],"category_scores_gemma":[0.004198269,0.0003477888,0.0006216481,0.006776815,0.0001707189,0.001234423,0.001394399,0.0005485524,0.07438425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008523327,"about_ca_system_score_gemma":0.001402856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01570648,"about_ca_topic_score_gemma":0.02617186,"domain_scores_codex":[0.9993611,0.00004401696,0.0002224452,0.0001572424,0.0001558602,0.0000593728],"domain_scores_gemma":[0.9974469,0.0003225123,0.0003450259,0.0003747146,0.001309829,0.0002009509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000309175,0.0000262266,0.01634764,0.002916821,0.0001114585,0.0001471031,0.0001977195,0.0002993369,0.001327199,0.002780979,0.919048,0.0564883],"study_design_scores_gemma":[0.00007937822,0.00003146776,0.06275887,0.0003694808,0.00007176177,0.0001503264,0.0001402791,0.0004404855,0.0005433189,0.001783288,0.9335824,0.00004901551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001872326,0.000271871,0.0005765198,0.00008519605,0.00003593758,0.0000808113,0.9874448,0.0005728289,0.009059711],"genre_scores_gemma":[0.007590625,0.0003886965,0.002555043,0.0001272481,0.00002171853,0.0004392765,0.9819759,0.0002507677,0.006650653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1412206,"threshold_uncertainty_score":0.47243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6950858262","doi":"10.5683/sp3/f4lnzo","title":"2021 Redux Survey of Visible Minority Librarians of Canada","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University; Wilfrid Laurier University; University of Ottawa; Toronto Public Health; University of Saskatchewan; University of British Columbia","funders":"","keywords":"Multiculturalism; Survey data collection; Work (physics); Survey research; Web survey","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02531641804451853,"gpt":0.2518866599017752,"spread":0.2265702418572566,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001734321,0.001246163,0.001212628,0.00690223,0.004521084,0.003745203,0.003469,0.00114547,0.02663895],"category_scores_gemma":[0.008149416,0.0008244456,0.0008483038,0.01721516,0.0005288125,0.0009530027,0.002183204,0.001852045,0.0212627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03069218,"about_ca_system_score_gemma":0.05230325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9833559,"about_ca_topic_score_gemma":0.9897635,"domain_scores_codex":[0.9975029,0.0001776139,0.000169605,0.000373269,0.001072391,0.0007043449],"domain_scores_gemma":[0.9901024,0.0004737557,0.000520234,0.0006526025,0.007142057,0.001108882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006093278,0.00003184049,0.00664928,0.0001699466,0.00001984492,0.00003047248,0.0001062696,0.0001220643,0.00003997709,0.0004709168,0.9887955,0.003502909],"study_design_scores_gemma":[0.0001786862,0.00002454124,0.09131834,0.0004000567,0.00004045804,0.0000697087,0.001018074,0.0008266966,0.0003308439,0.0004073115,0.9053021,0.00008313492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008962206,0.00005899482,0.0000476651,0.0001245668,0.00001544939,0.0000504671,0.997205,0.00008704654,0.00151465],"genre_scores_gemma":[0.0022569,0.00008308374,0.0003538175,0.0001468516,0.000008991675,0.0002117945,0.993697,0.00003716319,0.003204392],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03069218,"threshold_uncertainty_score":0.2226884,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6950828108","doi":"10.5683/sp3/x5qj3p","title":"B-TIM snow for JRA55","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Forcing (mathematics); Snow; Snow cover; Code (set theory)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.012628958944386,"gpt":0.2577516797495747,"spread":0.2451227208051887,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008161211,0.001744269,0.001254485,0.001956512,0.0006948112,0.001657476,0.002569924,0.001584556,0.04588038],"category_scores_gemma":[0.002278729,0.0005957286,0.001654048,0.003608452,0.0003876736,0.001046809,0.001293484,0.001632623,0.1037515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009633059,"about_ca_system_score_gemma":0.001967579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0323972,"about_ca_topic_score_gemma":0.06044453,"domain_scores_codex":[0.9992868,0.00009864021,0.00006386804,0.0002291715,0.0001924326,0.0001291793],"domain_scores_gemma":[0.9989401,0.0001222787,0.00009772187,0.0003517503,0.0003720274,0.0001160914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005762802,0.0000231361,0.0008726773,0.0002550013,0.00004051669,0.00001810315,0.00002112124,0.0007006036,0.0002559615,0.0003291291,0.9953129,0.002113291],"study_design_scores_gemma":[0.0002606905,0.00001946327,0.005926499,0.0001317365,0.00004188918,0.00004258172,0.00006879446,0.001491045,0.0008631632,0.001243617,0.989868,0.00004246638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000244022,0.00002856242,0.0001035018,0.00003889946,0.00002901047,0.000007392397,0.9980843,0.0007845738,0.0006797886],"genre_scores_gemma":[0.0004819147,0.00001742555,0.0003513894,0.0000250667,0.000007612798,0.00003217124,0.9983631,0.0001917177,0.000529632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04588038,"threshold_uncertainty_score":0.1534852,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6932059396","doi":"10.5683/sp3/eylz18","title":"Canadian Community Health Survey, 2017-2018: Annual Component","year":2018,"lang":"en","type":"dataset","venue":"Borealis","topic":"Stoma care and complications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Statistics Canada","funders":"","keywords":"Community health; Microdata (statistics); Population health; Government (linguistics); HRHIS; Health care; Health policy; Public health informatics; Public health; Data collection","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0664956901055922,"gpt":0.3454109842616753,"spread":0.2789152941560831,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003820244,0.001682675,0.002300705,0.007771987,0.002576847,0.002286752,0.004729583,0.001117498,0.0284947],"category_scores_gemma":[0.01374184,0.001072791,0.001394753,0.02429231,0.0005428515,0.001620601,0.001645992,0.002353368,0.01569152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04027065,"about_ca_system_score_gemma":0.09573088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9791363,"about_ca_topic_score_gemma":0.9770985,"domain_scores_codex":[0.9939295,0.0003754027,0.0004890072,0.0005197933,0.004087477,0.0005987613],"domain_scores_gemma":[0.9840491,0.0003309191,0.0005216621,0.0003852332,0.01389045,0.0008226433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004479007,0.00003020408,0.007886844,0.0006308497,0.00004427699,0.00001683542,0.00007914566,0.0001130402,0.0000236219,0.0006830866,0.9820585,0.00838887],"study_design_scores_gemma":[0.0002215686,0.00003393803,0.2450191,0.001044328,0.0001302955,0.00008891666,0.0007671645,0.0007797941,0.0001514299,0.001057017,0.7505981,0.0001083204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007281275,0.0004801841,0.00016677,0.0005341765,0.0001563428,0.0004373834,0.991107,0.0001408554,0.006249075],"genre_scores_gemma":[0.00845718,0.002937639,0.002217245,0.0007917334,0.0001253939,0.002711751,0.9718494,0.0001153679,0.01079422],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04027065,"threshold_uncertainty_score":0.2921854,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2913772534","doi":"10.5683/sp3/t0hl0d","title":"The Quinte longitudinal study of gambling and problem gambling 2006-2011, Bay of Quinte region, Ontario [Canada]","year":2014,"lang":"en","type":"dataset","venue":"Borealis","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta; University of Lethbridge","funders":"Ontario Problem Gambling Research Centre","keywords":"Cohort; Longitudinal study; Psychology; Set (abstract data type); Demography; Gerontology; Geography; Medicine; Computer science; Statistics; Mathematics; Sociology","authors":[{"name":"Robert J. Williams","is_ca":true},{"name":"Robert Hann","is_ca":false},{"name":"Patricia McLaughlin","is_ca":false},{"name":"Kate King","is_ca":false},{"name":"Donald Schopflocher","is_ca":true},{"name":"Beverly L. West","is_ca":true},{"name":"Trevor Flexhaug","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1067790665129037,"gpt":0.3607961726671097,"spread":0.2540171061542061,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009897768,0.0002703237,0.0003239583,0.0007642487,0.004118852,0.00113841,0.001077941,0.0003569414,0.00558281],"category_scores_gemma":[0.002307895,0.0003882426,0.000325627,0.003156934,0.0004351908,0.0005446323,0.0007596738,0.0009801334,0.0006370061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01980241,"about_ca_system_score_gemma":0.02582697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956002,"about_ca_topic_score_gemma":0.9985002,"domain_scores_codex":[0.9994615,0.00005753046,0.00002882305,0.00009839004,0.0002269836,0.0001267646],"domain_scores_gemma":[0.9979658,0.00006977296,0.0002311205,0.00007641094,0.001203907,0.0004529869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000221992,0.0001111156,0.7986565,0.000389281,0.0001336701,0.0001690601,0.006437781,0.0002021309,0.000449202,0.0008578625,0.1660369,0.02633454],"study_design_scores_gemma":[0.00001304975,0.000009749418,0.9878168,0.00009545701,0.00001323559,0.00001578426,0.0008896079,0.00006395621,0.00001926609,0.00002648408,0.01102726,0.000009421097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6132799,0.01181571,0.001592388,0.007961106,0.0004503998,0.001548226,0.3178376,0.0001583214,0.04535624],"genre_scores_gemma":[0.872924,0.006129891,0.002825592,0.001246367,0.00008419938,0.001444831,0.0729978,0.00005746616,0.04228984],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01980241,"threshold_uncertainty_score":0.1436772,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6969021074","doi":"10.5683/sp3/jyuo8e","title":"The AGRI National Project: Online Panel Study [Canada]","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta; University of Calgary; University of Lethbridge","funders":"","keywords":"Sample (material); Harm; Panel data; Longitudinal study; Data collection; Computer-assisted web interviewing","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.06314968754351684,"gpt":0.3184442120682456,"spread":0.2552945245247287,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003389193,0.0004423777,0.0006030946,0.001780808,0.009728352,0.002610181,0.002267229,0.001112808,0.009724217],"category_scores_gemma":[0.004237475,0.001033627,0.0006124898,0.00508944,0.0007923726,0.001404787,0.001773018,0.002416297,0.00230718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0296815,"about_ca_system_score_gemma":0.0631077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9899594,"about_ca_topic_score_gemma":0.9933898,"domain_scores_codex":[0.9978729,0.0003042181,0.00009871129,0.0003378786,0.0008295033,0.0005567683],"domain_scores_gemma":[0.9941104,0.0002445538,0.0004161901,0.0003572827,0.003323677,0.001547831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007045012,0.001840577,0.7739112,0.0004154174,0.0001600786,0.0005470159,0.0244325,0.0003372067,0.0006100712,0.002622611,0.1539108,0.04050802],"study_design_scores_gemma":[0.0001292194,0.000171621,0.9366993,0.0002422415,0.00005880056,0.0001332141,0.01414615,0.0005340712,0.0001864215,0.000288407,0.04732921,0.00008133978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7986284,0.0006861173,0.002172272,0.003706797,0.0001841622,0.0110584,0.1410887,0.0001209054,0.04235428],"genre_scores_gemma":[0.8353338,0.001705706,0.008585518,0.008964631,0.000124429,0.01658959,0.07442012,0.00017784,0.05409827],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0296815,"threshold_uncertainty_score":0.2153553,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6950709852","doi":"10.5683/sp2/jlulya","title":"Inoculating against an Infodemic: A Canada-wide COVID-19 News, Social Media, and Misinformation Survey","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Misinformation; Social media; Stewardship (theology); Masking (illustration); Social care; Coronavirus disease 2019 (COVID-19); Order (exchange)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0460386483946959,"gpt":0.2678201439168075,"spread":0.2217814955221116,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001443363,0.0008514069,0.0006228713,0.003093377,0.002728539,0.002252875,0.002164022,0.0009556605,0.007647944],"category_scores_gemma":[0.005310618,0.0004538346,0.0005606886,0.008514049,0.0005698747,0.0006374667,0.001925258,0.001406327,0.005081705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02078529,"about_ca_system_score_gemma":0.03054608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855735,"about_ca_topic_score_gemma":0.9936849,"domain_scores_codex":[0.9986998,0.0001238169,0.00007998707,0.0001936735,0.0005515051,0.0003512775],"domain_scores_gemma":[0.9946901,0.000416484,0.0004256159,0.0004140326,0.002878553,0.001175336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002690496,0.0001568057,0.09246293,0.0004455149,0.0001076999,0.0001466574,0.001154741,0.0005792479,0.0002534869,0.0009760432,0.8928832,0.01056469],"study_design_scores_gemma":[0.0002109446,0.00005340091,0.5386972,0.000377558,0.00009088818,0.0001122937,0.004122929,0.001829051,0.0006951644,0.0003891047,0.4532839,0.0001375626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01964458,0.0001661574,0.0001377304,0.000459016,0.00002922678,0.0001190174,0.9759195,0.0001361541,0.003388543],"genre_scores_gemma":[0.02709663,0.0001803426,0.0007723399,0.0003448838,0.00001676353,0.0003042389,0.9675016,0.00005077752,0.003732435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02078529,"threshold_uncertainty_score":0.1508085,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6931946231","doi":"10.5683/sp3/laeq5l","title":"SARS-CoV-2 Seroprevalence in Canada","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"Healthcare professionals’ stress and burnout","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University","funders":"","keywords":"Seroprevalence; Population; Multilevel model; Bayesian probability; Stratified sampling","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.07334795686477058,"gpt":0.4279267144674036,"spread":0.354578757602633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008824961,0.0008861489,0.0009765476,0.003491902,0.001896782,0.001783124,0.002005983,0.000630153,0.008807253],"category_scores_gemma":[0.005141967,0.0005414488,0.0009694337,0.01011616,0.0004136015,0.0004006628,0.001196593,0.001153438,0.003472702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02141787,"about_ca_system_score_gemma":0.04107549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926806,"about_ca_topic_score_gemma":0.9943414,"domain_scores_codex":[0.9989229,0.0000712168,0.00009953395,0.0002110058,0.0003854657,0.0003098932],"domain_scores_gemma":[0.9957666,0.0002540379,0.0003317161,0.0002686565,0.002815802,0.0005632563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004252502,0.0001041405,0.1594341,0.0007656519,0.0003530653,0.0001739084,0.0003489603,0.001752045,0.0001987334,0.001134004,0.8203174,0.0149928],"study_design_scores_gemma":[0.0002761081,0.00004859719,0.6519517,0.001076324,0.0002414107,0.0003113629,0.001237859,0.003740836,0.000684315,0.0005615269,0.3397309,0.0001390537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009690586,0.0002836857,0.00008159256,0.0001592225,0.00001682924,0.000029524,0.9883941,0.00006627061,0.001278145],"genre_scores_gemma":[0.03589206,0.0004746574,0.0006964335,0.0001812287,0.00001434291,0.0001365851,0.959219,0.00003972279,0.003346006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02141787,"threshold_uncertainty_score":0.1553982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6969867139","doi":"10.5683/sp3/eudv3h","title":"HydroBudget – Groundwater recharge model in R","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Groundwater recharge; Hydrology (agriculture); Christian ministry; Groundwater; Piezometer; Watershed","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03349436604202128,"gpt":0.2801765778650512,"spread":0.2466822118230299,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002366081,0.00196887,0.002254492,0.001127702,0.0006240776,0.002521493,0.004635107,0.001458453,0.08143587],"category_scores_gemma":[0.01013892,0.001465482,0.002824164,0.001448713,0.0006789484,0.001633217,0.00187898,0.003026328,0.05932328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464054,"about_ca_system_score_gemma":0.003741147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04394645,"about_ca_topic_score_gemma":0.03050364,"domain_scores_codex":[0.9988014,0.0003993235,0.0001075312,0.0003096204,0.0002474597,0.0001347178],"domain_scores_gemma":[0.9977628,0.001165437,0.0001445122,0.0003211701,0.0004761766,0.0001299684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004685759,0.0000706417,0.004850996,0.001763099,0.0008896627,0.0004252236,0.0002572712,0.1823126,0.002422152,0.03248556,0.7442967,0.02975759],"study_design_scores_gemma":[0.0009501349,0.00007528064,0.002829747,0.0003072419,0.0002912816,0.000253561,0.0001096336,0.3623649,0.003309335,0.05535522,0.5738817,0.0002719212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.01021619,0.001423061,0.2724565,0.001816437,0.0006603873,0.0006584431,0.4092155,0.2782221,0.02533146],"genre_scores_gemma":[0.1234029,0.00159127,0.3127877,0.002057327,0.0002537843,0.0041797,0.3730398,0.1536226,0.02906487],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08143587,"threshold_uncertainty_score":0.2724301,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6969601151","doi":"10.5683/sp/oeip77","title":"Characterization of the fecal microbiota of commercial mink","year":2017,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Guelph","funders":"","keywords":"Mink; Feces; Bacteria; Fecal coliform; Gut flora; Lactobacillaceae","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02231624050008284,"gpt":0.2823957494911494,"spread":0.2600795089910665,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005225425,0.0007412664,0.0005992237,0.001147087,0.0005729445,0.0007227551,0.0006271806,0.0004992511,0.001350878],"category_scores_gemma":[0.001184289,0.0002467699,0.0005556775,0.001614928,0.0003289877,0.0002772459,0.0009122707,0.0003924838,0.001225566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002158363,"about_ca_system_score_gemma":0.003083899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4705034,"about_ca_topic_score_gemma":0.6856108,"domain_scores_codex":[0.9995472,0.0000418628,0.00002969404,0.0001605419,0.0001207978,0.00009991886],"domain_scores_gemma":[0.9993548,0.00005246563,0.0001246719,0.00007882576,0.0003007363,0.00008868351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001327716,0.0001851124,0.7944264,0.00193009,0.0008858828,0.0006007683,0.0008945022,0.002927822,0.0146513,0.0004462547,0.1369911,0.04473294],"study_design_scores_gemma":[0.00008527338,0.0000789946,0.8967147,0.0002064503,0.0002372876,0.0002742594,0.0007504533,0.001527506,0.001417082,0.0002088571,0.09845687,0.00004233962],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2266003,0.002271961,0.001387827,0.0003122452,0.00006256361,0.00009052411,0.7649813,0.0003705865,0.003922665],"genre_scores_gemma":[0.1423461,0.0008236955,0.001651505,0.0001132905,0.0000219557,0.0001150234,0.8523982,0.00005966364,0.002470547],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4705034,"threshold_uncertainty_score":0.9355296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6969425694","doi":"10.5683/sp2/z7yeyi","title":"Leisure, lifestyle, and lifecycle project (LLLP): A longitudinal study of gambling in Alberta [Canada]","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Longitudinal study; Coping (psychology); Longitudinal data; Data collection; Sample (material); Substance use; Intervention (counseling)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.05912031924845592,"gpt":0.3272866031300802,"spread":0.2681662838816243,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001241375,0.000394757,0.0003692417,0.001130889,0.006322535,0.001428708,0.001543046,0.0007044983,0.002840552],"category_scores_gemma":[0.001425205,0.0005427974,0.0004079951,0.003300237,0.0006905385,0.0006329498,0.001418817,0.001625368,0.0006215563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02399549,"about_ca_system_score_gemma":0.03849112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960841,"about_ca_topic_score_gemma":0.9980952,"domain_scores_codex":[0.9993559,0.00008630987,0.00002295547,0.00007786724,0.000253011,0.0002039681],"domain_scores_gemma":[0.9988167,0.00003562008,0.00009843944,0.00004952362,0.0004636225,0.0005360148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003557668,0.0009091808,0.9308468,0.0001158062,0.00008365751,0.0005738632,0.01062452,0.0002787015,0.0006633673,0.0007853656,0.02158553,0.03317745],"study_design_scores_gemma":[0.00003475167,0.00006445432,0.9913549,0.0000594131,0.00001960133,0.00004283701,0.004431072,0.0001896871,0.00003244718,0.00005569817,0.003697624,0.00001756027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9745631,0.0007207008,0.0004545386,0.001499359,0.00005274241,0.0008737071,0.01322946,0.00003233547,0.008574106],"genre_scores_gemma":[0.963622,0.001318336,0.002232879,0.00146248,0.00002796752,0.000731111,0.01411705,0.00002992475,0.01645825],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02399549,"threshold_uncertainty_score":0.1741003,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6950379558","doi":"10.5683/sp3/sigtun","title":"Supporting information for \"HormonomicsDB: A novel workflow for the untargeted analysis of plant growth regulators and hormones\"","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of the Fraser Valley; University of British Columbia","funders":"","keywords":"Workflow; Metabolomics; Identification (biology); Protocol (science); Function (biology); Metabolite; Systems biology","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01593624093800432,"gpt":0.2607682363768489,"spread":0.2448319954388445,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003538031,0.003328135,0.002641626,0.003604906,0.001848513,0.002951558,0.004769691,0.002231231,0.5535396],"category_scores_gemma":[0.006250117,0.001895907,0.002233245,0.003814844,0.0007862292,0.003511849,0.002695893,0.002357465,0.1382421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588245,"about_ca_system_score_gemma":0.004425444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003552011,"about_ca_topic_score_gemma":0.008046118,"domain_scores_codex":[0.9981669,0.0001559642,0.0001497569,0.0005252009,0.0007522137,0.000249838],"domain_scores_gemma":[0.9972667,0.001173237,0.0003127941,0.0003314374,0.0005283011,0.000387557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002378935,0.0003045736,0.002034308,0.008838945,0.0002964634,0.0005216196,0.0001358741,0.001757894,0.03203063,0.003860774,0.9105937,0.03724621],"study_design_scores_gemma":[0.003033116,0.0005110386,0.00757408,0.001333685,0.0002024012,0.0009876197,0.0001692381,0.0173649,0.04753405,0.01067902,0.910217,0.0003938838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002123797,0.0006292782,0.03215079,0.0005370734,0.0005483985,0.0006114421,0.9232963,0.0337685,0.006334307],"genre_scores_gemma":[0.01011293,0.001071282,0.06126276,0.001110246,0.000247772,0.001893047,0.9062532,0.01057663,0.007472119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5535396,"threshold_uncertainty_score":0.6368216,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6913071467","doi":"10.5683/sp3/ibbdtf","title":"The measurement of mean wind, variances and covariances from an instrumented mobile car in a rural environment","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Measure (data warehouse); Data collection; Variance (accounting); Work (physics); Observational error","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01866958868161782,"gpt":0.2422478612720579,"spread":0.2235782725904401,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00150878,0.00235993,0.001498322,0.00185709,0.000770578,0.001633696,0.002890878,0.002562107,0.01149596],"category_scores_gemma":[0.00494746,0.0006600901,0.001669504,0.003710232,0.0006395259,0.001174814,0.001723469,0.001947084,0.02925645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009680479,"about_ca_system_score_gemma":0.00190695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05497153,"about_ca_topic_score_gemma":0.1085024,"domain_scores_codex":[0.9987597,0.0001928072,0.0001123165,0.0003151901,0.0004021149,0.000217935],"domain_scores_gemma":[0.9978164,0.0004070013,0.0001780494,0.0006866585,0.0007201611,0.0001917027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000169231,0.0001109789,0.005727554,0.0006815859,0.000131017,0.00008480634,0.00005618795,0.002134452,0.0005852379,0.000390359,0.984273,0.005655624],"study_design_scores_gemma":[0.0007975299,0.0001490304,0.06848124,0.0004915525,0.0001589115,0.0003242881,0.0005176887,0.006587894,0.00258958,0.002647754,0.9170253,0.0002292247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002023719,0.0000992142,0.0002778336,0.0001414187,0.0001230514,0.00001662702,0.9957358,0.0008921521,0.0006901513],"genre_scores_gemma":[0.0032304,0.00005065457,0.0005834898,0.0000417696,0.00002105233,0.00004054186,0.9954385,0.00007751919,0.0005160335],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05497153,"threshold_uncertainty_score":0.1093032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3167160933","doi":"10.7939/dvn/epsjjr","title":"List of Canadian independent, scholarly journals (2020)","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta; McGill University","funders":"","keywords":"Library science; Publishing; Scholarship; Political science; Computer science; Law","authors":[{"name":"Jessica Lange","is_ca":true},{"name":"Sarah Severson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1070579022386894,"gpt":0.3950543549093397,"spread":0.2879964526706502,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002475284,0.001279292,0.001531861,0.03326932,0.006145645,0.008442097,0.002737809,0.0009289861,0.1123458],"category_scores_gemma":[0.02909321,0.0007277348,0.000630363,0.07334156,0.0008452217,0.002433573,0.002467647,0.001677125,0.07784221],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01463385,"about_ca_system_score_gemma":0.06685013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7746871,"about_ca_topic_score_gemma":0.841692,"domain_scores_codex":[0.9908094,0.0003270664,0.0008083847,0.0005286231,0.00654707,0.0009794915],"domain_scores_gemma":[0.9459388,0.003121729,0.004192925,0.001663812,0.0404116,0.004671099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007250121,0.00001754486,0.005202277,0.00133633,0.00002735884,0.00007586709,0.0003765813,0.00005794254,0.0001715558,0.00218042,0.9706901,0.01979138],"study_design_scores_gemma":[0.00002314464,0.00001103927,0.03492267,0.0005919585,0.00002360817,0.00009620909,0.0008440808,0.00006318621,0.0001925951,0.0003255988,0.9628512,0.00005477951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00297623,0.001926922,0.0001834575,0.000616774,0.0003187118,0.0001722515,0.9481757,0.0003907356,0.04523923],"genre_scores_gemma":[0.02415608,0.007171703,0.003797706,0.001526246,0.0003749266,0.0008175671,0.8945599,0.0006973003,0.06689867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9915579,"threshold_uncertainty_score":0.4532797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6931894918","doi":"10.5683/sp3/jsko1t","title":"Canadian Election Study, 2004-2011","year":2012,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto; University of British Columbia; McGill University; University of New Brunswick; Université de Montréal","funders":"","keywords":"Sample (material); Panel survey; Federal election; Telephone survey; Survey data collection; Local election; Survey research","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02011213354038653,"gpt":0.270132371202102,"spread":0.2500202376617154,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003038608,0.0008081117,0.001065327,0.008512389,0.01182104,0.00386768,0.00313634,0.0008802246,0.02549659],"category_scores_gemma":[0.01406754,0.0009247243,0.001103228,0.02603168,0.0005192056,0.001547385,0.002103985,0.002129553,0.006446328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.081581,"about_ca_system_score_gemma":0.1458364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972302,"about_ca_topic_score_gemma":0.9992433,"domain_scores_codex":[0.9956037,0.0001823311,0.00025935,0.0003650363,0.002389246,0.001200358],"domain_scores_gemma":[0.9857228,0.0002932534,0.0007136388,0.0004131655,0.01108672,0.00177037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001758779,0.00009240964,0.09818993,0.0005712702,0.0000841616,0.0001382059,0.001910577,0.0001417878,0.00005494904,0.003185757,0.8692284,0.02622675],"study_design_scores_gemma":[0.00005636985,0.00001930023,0.5681068,0.0003144417,0.00006351672,0.00006508519,0.002744049,0.000151003,0.00006371595,0.0001568859,0.4281995,0.0000593122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05428245,0.006174009,0.0002793368,0.007386141,0.0009041342,0.0009755054,0.820211,0.0002017435,0.1095857],"genre_scores_gemma":[0.2404656,0.01059476,0.001886406,0.003828728,0.0003574215,0.002583836,0.526199,0.0002493176,0.2138349],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.081581,"threshold_uncertainty_score":0.5919144,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6913024960","doi":"10.5683/sp3/cowxaz","title":"Non-growing season CH4 fluxes over arctic and boreal environments","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Tundra; Boreal; Snowpack; Taiga; Arctic; Snow; Growing season; Boreal ecosystem","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01390045297371844,"gpt":0.2569514545197275,"spread":0.2430510015460091,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005532749,0.001938955,0.001135021,0.001523918,0.0007934474,0.001212382,0.001862841,0.001837444,0.005524906],"category_scores_gemma":[0.001352076,0.0004773699,0.00154082,0.003417364,0.0003670174,0.000751048,0.0007741753,0.00104251,0.007468628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356893,"about_ca_system_score_gemma":0.001796381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.127811,"about_ca_topic_score_gemma":0.2194797,"domain_scores_codex":[0.9995549,0.00004558775,0.0000313341,0.0001635265,0.0001225174,0.00008212536],"domain_scores_gemma":[0.9994017,0.0001154423,0.00006653805,0.0001095523,0.0002257739,0.00008103193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005469537,0.0002224987,0.02759661,0.001693145,0.0005182094,0.0002637804,0.0001133169,0.01166656,0.001626365,0.0008507323,0.9431036,0.01179832],"study_design_scores_gemma":[0.001056271,0.0001325133,0.1772218,0.000632627,0.0003275612,0.0004232868,0.0004390632,0.0162199,0.003517408,0.00231882,0.7974871,0.0002236446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004741285,0.0001796599,0.0001082935,0.00004579137,0.00002903097,0.000008164514,0.9941391,0.000239343,0.0005093159],"genre_scores_gemma":[0.003349416,0.00005389838,0.0002526584,0.00001595627,0.000005502035,0.00002033717,0.9960093,0.00001913956,0.0002736411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.127811,"threshold_uncertainty_score":0.2541342,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6950826700","doi":"10.5683/sp3/mfycwv","title":"Data and code from: Groundwaterscapes: A global classification and mapping of groundwater's large-scale socioeconomic, ecological, and Earth system functions","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Raster graphics; Groundwater; Earth system science; Scripting language; Range (aeronautics); Aquifer; Grid; Geographic information system","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04192282021828162,"gpt":0.2752278163403373,"spread":0.2333049961220557,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007879565,0.0009759273,0.0008390661,0.003913384,0.0005945615,0.002648729,0.002107827,0.0009610302,0.230773],"category_scores_gemma":[0.008727161,0.0007313343,0.0009441142,0.01225296,0.0005055693,0.002687639,0.002585269,0.001507161,0.174535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430241,"about_ca_system_score_gemma":0.002876724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05393558,"about_ca_topic_score_gemma":0.05051647,"domain_scores_codex":[0.9990056,0.0001040114,0.0001486747,0.0002043535,0.000424299,0.0001131141],"domain_scores_gemma":[0.9966002,0.0007327652,0.0002828928,0.0007206202,0.001394435,0.0002691082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002475897,0.000007511068,0.0009377087,0.0002747095,0.000007671594,0.00002218804,0.00007562183,0.0004218289,0.0001314036,0.0009660973,0.9906697,0.006460904],"study_design_scores_gemma":[0.00007673451,0.000006730177,0.005797984,0.0002341127,0.00001406449,0.00004357461,0.0002175637,0.0007728426,0.0005535604,0.002890127,0.9893462,0.00004655475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002515026,0.00001864751,0.001128947,0.0001301476,0.00004354231,0.00004316347,0.988692,0.004597778,0.00509414],"genre_scores_gemma":[0.002062781,0.00008318553,0.004725459,0.0001177185,0.00001514423,0.0002781345,0.9835803,0.004533478,0.004603775],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.230773,"threshold_uncertainty_score":0.7720125,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2912515299","doi":"10.5683/sp/8bavqm","title":"Tweets to Donald Trump (@realDonaldTrump)","year":2017,"lang":"en","type":"dataset","venue":"Borealis","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Computer science; Information retrieval; Filter (signal processing); Null (SQL); World Wide Web; Database","authors":[{"name":"Nick Ruest","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0463447319477274,"gpt":0.3755872862213946,"spread":0.3292425542736672,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003705831,0.0008819255,0.0005210174,0.002991067,0.001087072,0.002092166,0.0006437819,0.0008333776,0.2359052],"category_scores_gemma":[0.004249644,0.0004687837,0.0004882507,0.003790067,0.0002065185,0.002276267,0.00235341,0.001200122,0.3297469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144287,"about_ca_system_score_gemma":0.001033596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01616789,"about_ca_topic_score_gemma":0.0318995,"domain_scores_codex":[0.9995605,0.00004224263,0.00002830276,0.0001037712,0.0001691095,0.00009601078],"domain_scores_gemma":[0.9987606,0.000204296,0.0001148446,0.0002368334,0.0004454575,0.0002380333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001810048,0.000003646704,0.0002845668,0.00006114391,0.000001825415,0.00001231098,0.00003261671,0.0000174641,0.0001156689,0.0001553438,0.9959255,0.003371755],"study_design_scores_gemma":[0.00002259557,0.000008812171,0.003144355,0.00007701679,0.000004812567,0.00003737674,0.00018,0.0001769305,0.0004635907,0.0003194386,0.9955525,0.00001248622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001843736,0.0002013212,0.0003158112,0.0009822394,0.0005909101,0.00008710448,0.9553174,0.003114862,0.03754663],"genre_scores_gemma":[0.007739466,0.0003852068,0.001208636,0.0008493552,0.0003296087,0.0002815805,0.9131927,0.002201679,0.0738117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2359052,"threshold_uncertainty_score":0.7891814,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6931862107","doi":"10.5683/sp2/jojyop","title":"Coexpression Analysis of Human Genes Across Many Microarray Data Sets","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"Genetic Syndromes and Imprinting","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Columbia College; Genome British Columbia","funders":"","keywords":"Microarray analysis techniques; Gene; Microarray; Gene expression profiling; Gene expression; Gene regulatory network; Expression (computer science); DNA microarray","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03646688007583462,"gpt":0.3411808916853415,"spread":0.304714011609507,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001537985,0.001303216,0.001245598,0.002951795,0.0006276363,0.0009766226,0.00116143,0.0009166429,0.002853192],"category_scores_gemma":[0.004671697,0.0003241357,0.0008845503,0.005073955,0.000387922,0.0003750748,0.001154149,0.0007767333,0.002154776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006676242,"about_ca_system_score_gemma":0.0008488319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006662854,"about_ca_topic_score_gemma":0.01013538,"domain_scores_codex":[0.9983719,0.0003388805,0.0001826266,0.0006095488,0.0003754853,0.0001216882],"domain_scores_gemma":[0.9977361,0.001229043,0.0002149865,0.0004498529,0.0002483217,0.0001215969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003926569,0.0009496657,0.2854983,0.00835376,0.004221628,0.005285872,0.0008374028,0.03769893,0.07186306,0.005375889,0.407005,0.1689841],"study_design_scores_gemma":[0.001058977,0.000589751,0.5836576,0.000346468,0.001235023,0.004402432,0.000616733,0.03437316,0.03231407,0.007073742,0.3340919,0.0002400747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1478731,0.002800326,0.006937247,0.0004045939,0.00008319331,0.0001143825,0.8377724,0.001477153,0.002537419],"genre_scores_gemma":[0.07653496,0.0004847315,0.007134207,0.000133439,0.00002297807,0.0002332666,0.914638,0.00008516748,0.0007333124],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006662854,"threshold_uncertainty_score":0.01324815,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6913042965","doi":"10.5683/sp2/bplpap","title":"Data for: Effects of landscape and local habitat features on bird communities: a study of urban gradient in greater Vancouver.","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University","funders":"","keywords":"Habitat; Abundance (ecology); Distribution (mathematics); Distance sampling; Transect; Aerial survey; Species distribution","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0270318330612365,"gpt":0.2823663570416955,"spread":0.255334523980459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007918465,0.001245717,0.001236487,0.00304021,0.001424394,0.002319647,0.002383642,0.001181481,0.03507078],"category_scores_gemma":[0.004611649,0.0007044553,0.000633824,0.005995077,0.0003564556,0.0006344111,0.001714012,0.001556778,0.03073835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003984652,"about_ca_system_score_gemma":0.005558501,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.684956,"about_ca_topic_score_gemma":0.8511495,"domain_scores_codex":[0.999371,0.00006176753,0.00006614074,0.0001374616,0.0002411137,0.0001225853],"domain_scores_gemma":[0.9967359,0.0004078023,0.0002704354,0.0004314619,0.001648013,0.0005063284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004063774,0.00002845542,0.005203567,0.0004596121,0.00003583341,0.00003211161,0.00011126,0.0002261107,0.00006125982,0.0002690979,0.9905782,0.002953829],"study_design_scores_gemma":[0.0002217068,0.00001814226,0.0685451,0.0006399214,0.00005570582,0.00006186664,0.0005187055,0.0006772121,0.0003599769,0.000647272,0.9282025,0.00005189779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004644647,0.00004317954,0.00002547884,0.00004126662,0.000007796195,0.000009993096,0.9988376,0.0000792695,0.0004908954],"genre_scores_gemma":[0.001477634,0.00004002022,0.0001879177,0.0000155614,0.000003186176,0.00007173441,0.9970534,0.00003345441,0.001117005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.315044,"threshold_uncertainty_score":0.6337987,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6892354578","doi":"10.5203/fk2/xaggjt","title":"The Objectives and Design of the Manitoba Basic Annual Income Experiment (Mincome Technical Report 1)","year":2016,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Technical report; Annual report; Basic income; Point (geometry); Work (physics)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01838878939551564,"gpt":0.2807118590147007,"spread":0.2623230696191851,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01038459,0.0008375176,0.0007953168,0.001499624,0.002126088,0.002350247,0.002971759,0.001199796,0.03093855],"category_scores_gemma":[0.02028383,0.001178005,0.0006968497,0.002972133,0.001338195,0.0009281806,0.001965517,0.002139198,0.02209128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005960413,"about_ca_system_score_gemma":0.01560706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2159029,"about_ca_topic_score_gemma":0.3968829,"domain_scores_codex":[0.9960264,0.001903647,0.0002215592,0.0006976589,0.0007379794,0.000412751],"domain_scores_gemma":[0.9889993,0.002049521,0.0008296376,0.002838972,0.003933652,0.001348942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001404634,0.000554261,0.02084189,0.0005897749,0.00009108441,0.00007056,0.0007991626,0.001896803,0.0004522974,0.009636583,0.9508588,0.01280416],"study_design_scores_gemma":[0.001348708,0.0002351636,0.05369679,0.0004924326,0.00008921301,0.00007853658,0.001471297,0.001320531,0.0008685745,0.005458149,0.9348269,0.0001136514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01591632,0.0002337339,0.006704594,0.002106359,0.000274595,0.00756938,0.9525911,0.000928546,0.01367531],"genre_scores_gemma":[0.02500989,0.0001800539,0.02580884,0.001571383,0.0001059394,0.05341824,0.8721259,0.000694517,0.02108526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7840971,"threshold_uncertainty_score":0.4292924,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2891706216","doi":"10.7939/dvn/10252","title":"Special Feature: Can habitat selection predict abundance?","year":2015,"lang":"en","type":"dataset","venue":"Borealis","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Northern British Columbia; University of Alberta","funders":"","keywords":"Abundance (ecology); Selection (genetic algorithm); Feature selection; Habitat; Feature (linguistics); Geography; Ecology; Computer science; Artificial intelligence; Biology","authors":[{"name":"Mark S. Boyce","is_ca":true},{"name":"Chris J. Johnson","is_ca":true},{"name":"Evelyn H. Merrill","is_ca":true},{"name":"Scott E. Nielsen","is_ca":true},{"name":"Erling J. Solberg","is_ca":false},{"name":"Bram Van Moorter","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01039247982535087,"gpt":0.222965014414867,"spread":0.2125725345895161,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001294024,0.001762289,0.001442718,0.001780902,0.0004500264,0.001437791,0.00224637,0.001871605,0.02711323],"category_scores_gemma":[0.007798743,0.0005187367,0.001597072,0.00261821,0.0004379758,0.001011524,0.001469288,0.001131582,0.02037905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000716486,"about_ca_system_score_gemma":0.001143691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03591055,"about_ca_topic_score_gemma":0.08011127,"domain_scores_codex":[0.9993343,0.0001195752,0.00006492418,0.0002354179,0.0001241203,0.0001216769],"domain_scores_gemma":[0.9982991,0.000584834,0.0003068649,0.0003665568,0.0002530582,0.0001896669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004340064,0.00007024382,0.03529463,0.001019236,0.0003698927,0.00005704979,0.0000582083,0.001272261,0.0002288574,0.0004157495,0.9543427,0.006437175],"study_design_scores_gemma":[0.002012239,0.0001719551,0.2151643,0.001032012,0.0007375623,0.000507479,0.0003467667,0.006367395,0.0009424622,0.004513732,0.7680546,0.00014956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002410212,0.0002431432,0.000122884,0.0001397124,0.00004279422,0.000009659865,0.9962803,0.0002331585,0.0005181729],"genre_scores_gemma":[0.008800741,0.0001011275,0.0004398118,0.0001176838,0.00002736627,0.00007271813,0.9892582,0.00006106942,0.001121267],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03591055,"threshold_uncertainty_score":0.09070277,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6913072561","doi":"10.5683/sp3/k26lxj","title":"SS2 Biosignals and Sleep stages","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Polysomnography; Sleep (system call); Sleep Stages; Electroencephalography; Cohort; Electrodiagnosis","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02239989996671899,"gpt":0.2819379164070833,"spread":0.2595380164403643,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003365209,0.0007712822,0.0003760226,0.001171534,0.0003161345,0.0009325015,0.000392573,0.0003688317,0.01838865],"category_scores_gemma":[0.001991232,0.0001313467,0.0006918951,0.001224552,0.0002041461,0.0003490516,0.0006081744,0.0002969735,0.003335456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004334806,"about_ca_system_score_gemma":0.0003261232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01595015,"about_ca_topic_score_gemma":0.01943692,"domain_scores_codex":[0.9997827,0.00002443697,0.00002888416,0.00008221242,0.00004213842,0.000039569],"domain_scores_gemma":[0.9994032,0.00007814984,0.0001953807,0.0001021845,0.0001489669,0.00007207401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00604451,0.00008888134,0.8984514,0.0004307235,0.001031902,0.0005500464,0.000590575,0.001231957,0.009103988,0.001238155,0.03704801,0.0441898],"study_design_scores_gemma":[0.00005736458,0.0001486153,0.9870341,0.00003244418,0.00009224309,0.0004466106,0.0001562873,0.0007759585,0.0007030363,0.0004331975,0.01009367,0.00002656272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7797377,0.001271255,0.003826333,0.0001829651,0.0001184588,0.0002389743,0.199942,0.0006009509,0.01408136],"genre_scores_gemma":[0.9028574,0.0002909091,0.001168459,0.00008532483,0.00008674433,0.0003704522,0.08390956,0.0002646056,0.01096657],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01838865,"threshold_uncertainty_score":0.06151617,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6894426293","doi":"10.5683/sp3/cnf5js","title":"Canadian beef producer survey, 2020","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Dalhousie University","funders":"","keywords":"Beef cattle; Agriculture; Polling; Survey data collection; Grazing; Survey research; Agribusiness","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02381904869679504,"gpt":0.2673649877869785,"spread":0.2435459390901835,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002287466,0.001199879,0.0008967744,0.004705265,0.001826001,0.002288581,0.002721399,0.0009219082,0.03680628],"category_scores_gemma":[0.009961707,0.0007263211,0.0007630778,0.01378111,0.0002697866,0.0008943255,0.001191914,0.001238694,0.01998571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02468997,"about_ca_system_score_gemma":0.03056436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9730354,"about_ca_topic_score_gemma":0.9842618,"domain_scores_codex":[0.9975814,0.0001753734,0.0002028516,0.0004167363,0.001226187,0.0003974863],"domain_scores_gemma":[0.9913943,0.0004306256,0.0005075277,0.0004189754,0.006414406,0.0008341774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008627895,0.00002359736,0.006923822,0.0003101778,0.00003536008,0.0000188399,0.00005619549,0.0001278518,0.00004396145,0.0003756328,0.9881353,0.003862901],"study_design_scores_gemma":[0.0002273764,0.00003886573,0.2083225,0.000424755,0.00008180922,0.00006948703,0.0004192027,0.0006539762,0.0002466032,0.0003049308,0.7891429,0.00006763298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004328862,0.00004920947,0.00002941695,0.00007053954,0.00001282681,0.00003239907,0.9979208,0.00003860971,0.001413248],"genre_scores_gemma":[0.002471894,0.00013984,0.0004315164,0.0001514131,0.00001174371,0.0002126111,0.9929007,0.00003129859,0.003648999],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03680628,"threshold_uncertainty_score":0.1791391,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7104628314","doi":"10.5683/sp3/mbt82v","title":"Knock Knock, who's there? Identifying wild species-specific fish sounds with passive acoustic localization and random forest models","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Victoria","funders":"","keywords":"Underwater; Bioacoustics; Fish <Actinopterygii>; Natural sounds; Sound (geography); Random forest","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02326564845753097,"gpt":0.2473905888701266,"spread":0.2241249404125956,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001303701,0.002213338,0.001334668,0.002413889,0.001037358,0.001832714,0.002388093,0.001589618,0.01547263],"category_scores_gemma":[0.005229117,0.0004562809,0.001228317,0.002394765,0.0005013401,0.000914381,0.001615307,0.001211534,0.02944163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721389,"about_ca_system_score_gemma":0.001583459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07997973,"about_ca_topic_score_gemma":0.1980902,"domain_scores_codex":[0.9984702,0.0001955618,0.0001131467,0.0004869081,0.0005215966,0.000212463],"domain_scores_gemma":[0.997925,0.0005289046,0.0001888092,0.0005355462,0.0006240779,0.0001975952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001938118,0.00006716771,0.01082346,0.0005999687,0.00008227339,0.0000971433,0.00009531391,0.0009355978,0.0009163597,0.0004660529,0.9673535,0.01836921],"study_design_scores_gemma":[0.0001819315,0.0000660661,0.04552459,0.0003616559,0.0001123302,0.0004497355,0.0004529822,0.006946737,0.003022459,0.00224693,0.9404944,0.0001403134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003293336,0.0002994387,0.001189261,0.0001672893,0.0001427946,0.00003520457,0.9893407,0.002796044,0.002735809],"genre_scores_gemma":[0.004645568,0.00006788415,0.002372701,0.00006683196,0.0000198797,0.00007431196,0.9911642,0.0002039791,0.001384716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07997973,"threshold_uncertainty_score":0.1590284,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6969410038","doi":"10.5683/sp2/zrgxq5","title":"Data used in 'Size-Based Characterization of Freshwater Dissolved Organic Matter finds Similarities within a Water Body Type across Different Canadian Ecozones'","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada; University of Waterloo; Wilfrid Laurier University","funders":"","keywords":"Dissolved organic carbon; Organic matter; Groundwater; Surface water; Hydrology (agriculture); Composition (language)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02970883020466676,"gpt":0.2644606924142376,"spread":0.2347518622095709,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001379722,0.002638873,0.001434037,0.004603839,0.002675275,0.002853025,0.004246238,0.001971464,0.01945108],"category_scores_gemma":[0.007038787,0.0007651724,0.001509162,0.009215185,0.0009317403,0.0007895846,0.002244037,0.001827574,0.01605569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01007597,"about_ca_system_score_gemma":0.01752805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9121056,"about_ca_topic_score_gemma":0.9458406,"domain_scores_codex":[0.9984579,0.00009142689,0.000094478,0.0004301113,0.0005275402,0.0003985673],"domain_scores_gemma":[0.9963935,0.0004382546,0.0002684127,0.0004745545,0.001945787,0.0004793912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001270209,0.00002870515,0.006215771,0.001013995,0.0001181158,0.00008006088,0.0001051138,0.0008892309,0.0003400072,0.0008573906,0.986473,0.003751493],"study_design_scores_gemma":[0.0001833257,0.00001990679,0.03573311,0.0005664499,0.0001088672,0.00008681614,0.0002081691,0.0008762761,0.0006565509,0.0008540149,0.960631,0.00007543572],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003298784,0.000094041,0.00005176502,0.00003995221,0.00001448558,0.000009800614,0.9988852,0.0001338116,0.0004410893],"genre_scores_gemma":[0.0007492506,0.00004826059,0.0002267452,0.000024682,0.000002309993,0.00002675851,0.9985019,0.00002589127,0.0003942746],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08789438,"threshold_uncertainty_score":0.176824,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6931844859","doi":"10.5683/sp3/kt1dg5","title":"Data For: Where do they come from, where do they go? Emissions and fate of OPEs in global megacities","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Heat Transfer and Numerical Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada; University of Toronto; University of British Columbia","funders":"","keywords":"Megacity; Air pollution; Urban area; Urbanization; Mega-","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03778443854763668,"gpt":0.3167799216416194,"spread":0.2789954830939828,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000703004,0.001758934,0.001111621,0.001826627,0.0005494842,0.001621842,0.001899802,0.002290053,0.03215634],"category_scores_gemma":[0.003866786,0.0005766574,0.001234404,0.004025909,0.0003725476,0.001151248,0.00161989,0.001543601,0.0378036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325625,"about_ca_system_score_gemma":0.001575808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05213077,"about_ca_topic_score_gemma":0.06949628,"domain_scores_codex":[0.9994491,0.00008382273,0.00007636732,0.0001601813,0.0001308426,0.00009972381],"domain_scores_gemma":[0.9987559,0.0003511773,0.0001635236,0.0002587237,0.0003329831,0.0001376269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006803021,0.00003241919,0.00266102,0.001124418,0.00005916704,0.00004510743,0.0000475698,0.001415482,0.0002022954,0.0007111354,0.9910713,0.00256204],"study_design_scores_gemma":[0.0004020479,0.00002709056,0.01360436,0.0005988494,0.00006778421,0.00008495269,0.000200615,0.001993043,0.0007356177,0.002048559,0.9801711,0.00006595736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002006639,0.00004240318,0.0000395911,0.00005938536,0.00001538858,0.000004057068,0.9991961,0.0001651203,0.0002773433],"genre_scores_gemma":[0.0009333663,0.00006561461,0.0002403812,0.00004850277,0.000005153523,0.00003837032,0.9982743,0.00005006065,0.0003442045],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05213077,"threshold_uncertainty_score":0.1075737,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6894296693","doi":"10.5683/sp3/wb7wlp","title":"La TAN dans les cursus universitaires des membres de l’ACET: état des lieux","year":2022,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Concordia University; Université de Montréal; Université du Québec à Trois-Rivières","funders":"","keywords":"Context (archaeology); Web site; Information scientist; General interest","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03132734517278273,"gpt":0.2716350638601631,"spread":0.2403077186873804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007308242,0.0004225717,0.0006273378,0.001833103,0.005485712,0.005521506,0.001121648,0.001452859,0.009582705],"category_scores_gemma":[0.01534375,0.0003597389,0.0005243836,0.003255229,0.003162734,0.003149494,0.005066677,0.00271583,0.001162871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01424385,"about_ca_system_score_gemma":0.01880934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1822083,"about_ca_topic_score_gemma":0.3188936,"domain_scores_codex":[0.9941684,0.002526318,0.0002296512,0.0005788936,0.001403074,0.001093649],"domain_scores_gemma":[0.9822531,0.004662788,0.002124272,0.0006575459,0.005514645,0.004787561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002247592,0.0002532054,0.4514557,0.0007269398,0.00011633,0.0008993443,0.3999204,0.0004107809,0.001879205,0.01013374,0.009723772,0.1242559],"study_design_scores_gemma":[0.00001774921,0.0002582329,0.4109083,0.0006888471,0.00004925577,0.0002561603,0.4792426,0.0004860193,0.00101899,0.001723563,0.1052247,0.0001256086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9603189,0.002642117,0.002481821,0.01121778,0.0002427743,0.0001397821,0.0004180917,0.00005628869,0.02248246],"genre_scores_gemma":[0.9816165,0.001256138,0.001683125,0.00121642,0.00003862026,0.0001765638,0.0001587626,0.00003227474,0.01382169],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1822083,"threshold_uncertainty_score":0.3622954,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6950999165","doi":"10.5683/sp2/xvuxdb","title":"Data set for: Metabolic activity affects response of single cells to a nutrient switch in structured populations","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Replicate; Set (abstract data type); Nutrient; Metabolic activity; Data set; Scripting language","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.106528190147172,"gpt":0.3601049433343998,"spread":0.2535767531872278,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009441889,0.002296284,0.001488251,0.001498912,0.0007492829,0.001480094,0.002566095,0.002520536,0.03976996],"category_scores_gemma":[0.00436395,0.0005746637,0.001660734,0.001877701,0.0004836254,0.0006745045,0.001235457,0.001509108,0.0347843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056507,"about_ca_system_score_gemma":0.001621684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0168031,"about_ca_topic_score_gemma":0.02968857,"domain_scores_codex":[0.9993357,0.00009946234,0.00007404141,0.0002407417,0.0001536579,0.00009632354],"domain_scores_gemma":[0.9983879,0.0006175018,0.0001523591,0.000414806,0.0002913514,0.0001360514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003795464,0.0001574888,0.003586169,0.001925255,0.0001897425,0.00007004283,0.00004982817,0.003551056,0.001547244,0.0007099091,0.9816715,0.0061621],"study_design_scores_gemma":[0.001756737,0.0001671954,0.02503197,0.0004596047,0.0002571173,0.0002424791,0.0001294488,0.005518976,0.003937205,0.003999557,0.9583248,0.0001749823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000613884,0.00005913449,0.0001343923,0.00005936469,0.00003229724,0.00001313264,0.9981732,0.0006110694,0.0003035218],"genre_scores_gemma":[0.001773246,0.0000414768,0.0007025818,0.00006599345,0.000006388956,0.0001121012,0.9967092,0.00009906924,0.0004899465],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03976996,"threshold_uncertainty_score":0.1330437,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6912892391","doi":"10.5683/sp3/r0dptz","title":"(Shapefiles - Validation countries) SEEDNet: A covariate-free multi-country settlement-level database of epidemiological estimates for network analysis","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University; McGill University; University of Toronto","funders":"","keywords":"Covariate; Georeference; Population; Data integration; Range (aeronautics); Representation (politics); Missing data; Health informatics; Population health; Bayesian network","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.08181754977683314,"gpt":0.3504561687826832,"spread":0.26863861900585,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005480348,0.002354544,0.001673898,0.004469534,0.0007439755,0.003132308,0.002748654,0.001755697,0.426877],"category_scores_gemma":[0.03640642,0.001808324,0.001635888,0.004869101,0.0004704202,0.003987562,0.003870249,0.001740385,0.2588521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007885089,"about_ca_system_score_gemma":0.002248172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004008781,"about_ca_topic_score_gemma":0.003225706,"domain_scores_codex":[0.9982024,0.0006148458,0.0003363982,0.0003212173,0.0003711025,0.0001539149],"domain_scores_gemma":[0.971827,0.01418446,0.001992341,0.00637409,0.004780715,0.0008413669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003876186,0.00006570078,0.002841453,0.00102623,0.00005342761,0.0001157062,0.0001227945,0.002110149,0.0007226315,0.002380415,0.9611607,0.02901309],"study_design_scores_gemma":[0.000719596,0.0001016165,0.006528799,0.0006859604,0.0000399213,0.0002215967,0.0001224444,0.005204752,0.002820641,0.006433216,0.9769736,0.0001480328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001112412,0.0001005586,0.01716099,0.0002408203,0.0002394611,0.0003788437,0.9377301,0.03519389,0.007842959],"genre_scores_gemma":[0.009430587,0.0002642417,0.03276132,0.0002971116,0.0001296724,0.002431087,0.9181919,0.02948379,0.007010294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.426877,"threshold_uncertainty_score":0.8174903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6969165860","doi":"10.5683/sp3/bidmci","title":"Global Salt Experiment","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Ministry of Environment; Queen's University; Université du Québec à Montréal; Toronto Metropolitan University; Ontario Tech University; McGill University; Wilfrid Laurier University","funders":"Vetenskapsrådet","keywords":"Mesocosm; Plankton; Zooplankton; Chlorophyll a; Range (aeronautics); Chlorophyll; Chloride","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02312638406617486,"gpt":0.3149490056066022,"spread":0.2918226215404274,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001695419,0.001579305,0.00113483,0.001389092,0.0006812331,0.001451286,0.002086826,0.001494267,0.01440922],"category_scores_gemma":[0.003698278,0.0004796844,0.001166182,0.002678271,0.0004376591,0.001245206,0.00135966,0.001373966,0.01692434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206378,"about_ca_system_score_gemma":0.00188634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04566415,"about_ca_topic_score_gemma":0.07986987,"domain_scores_codex":[0.999194,0.0001726839,0.00007451198,0.0002787127,0.0001980718,0.00008196584],"domain_scores_gemma":[0.9981408,0.0003096966,0.0002217447,0.0005480849,0.0005584836,0.000221021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002365869,0.00006053948,0.007951506,0.0004174015,0.0001598609,0.00006325935,0.00003201599,0.001729186,0.0002521072,0.001193403,0.9837669,0.004137251],"study_design_scores_gemma":[0.001189496,0.00008951119,0.03404503,0.0002134245,0.000163805,0.0001136265,0.0001053632,0.00392386,0.001007869,0.003784788,0.9552548,0.0001084649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001236812,0.00006616814,0.000181674,0.0001385576,0.00005535108,0.00001816624,0.9970267,0.0004080107,0.0008685326],"genre_scores_gemma":[0.001770413,0.00003681252,0.0005192385,0.00008663033,0.000009823465,0.00007948616,0.9968715,0.00007387694,0.0005523132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04566415,"threshold_uncertainty_score":0.09079671,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6913206175","doi":"10.5683/sp3/zf6x3f","title":"SEEDNet Library","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Demographics; Data collection; Epidemiology; Information system","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01489297389635856,"gpt":0.2581758456030808,"spread":0.2432828717067222,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001678141,0.002096314,0.001454825,0.00405838,0.0009957611,0.002619253,0.003860103,0.002012859,0.09980667],"category_scores_gemma":[0.01053559,0.001067116,0.001468787,0.006292147,0.0005475398,0.002109358,0.002896386,0.00205381,0.1118276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505807,"about_ca_system_score_gemma":0.002895548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02788812,"about_ca_topic_score_gemma":0.05560879,"domain_scores_codex":[0.9986184,0.0002846323,0.0001984227,0.0004127883,0.0002993266,0.0001864384],"domain_scores_gemma":[0.9969004,0.0009495924,0.0002660483,0.00083868,0.0006682829,0.0003769413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004334224,0.00001509221,0.0008090855,0.0005646752,0.00002858269,0.00002413275,0.00004096401,0.0003826207,0.00007950281,0.0008771533,0.994689,0.002445948],"study_design_scores_gemma":[0.0001576182,0.00001640478,0.002340411,0.0003099011,0.00003404093,0.00007896251,0.00009726078,0.0009372878,0.0002538081,0.003607315,0.9921335,0.00003361871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001186623,0.00004485411,0.0002459473,0.00006356515,0.00002567554,0.00001872503,0.9975895,0.0008734946,0.001019705],"genre_scores_gemma":[0.0003696303,0.00004764432,0.0005773773,0.00006642561,0.000006270267,0.0001084137,0.9981239,0.0002136181,0.0004867316],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09980667,"threshold_uncertainty_score":0.3338866,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6894316412","doi":"10.5683/sp3/jclm0o","title":"ExoPlaSim models for \"Climate uncertainties caused by unknown land distribution on habitable M-Earths\"","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Class (philosophy); Decimal; Fraction (chemistry); Distribution (mathematics); High resolution; Bar (unit)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02371469697656326,"gpt":0.2659929538902279,"spread":0.2422782569136646,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001097894,0.002526112,0.00115473,0.001683574,0.0007751686,0.001610565,0.003510341,0.001971897,0.0654652],"category_scores_gemma":[0.003883268,0.0009731668,0.002147955,0.003221181,0.0003975351,0.001673574,0.001562399,0.001918052,0.06679929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720283,"about_ca_system_score_gemma":0.001517126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03078816,"about_ca_topic_score_gemma":0.06071372,"domain_scores_codex":[0.9993272,0.0001138128,0.00006019989,0.0002298155,0.0001698768,0.00009923031],"domain_scores_gemma":[0.9985461,0.0003899598,0.0001264402,0.0005003259,0.0003222906,0.0001148629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007034598,0.000029378,0.001977712,0.0004859551,0.00006819038,0.00003559936,0.00003002765,0.003878886,0.000200018,0.0008444924,0.9897828,0.002596646],"study_design_scores_gemma":[0.0004601876,0.00002629925,0.00760571,0.0002319674,0.00005628948,0.00009438633,0.00008964632,0.007035739,0.001106881,0.003380715,0.9798383,0.00007396417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002561553,0.00003094097,0.0002681248,0.00005604572,0.00003184029,0.000009081043,0.9972764,0.001231382,0.0008401088],"genre_scores_gemma":[0.0007456728,0.00002438415,0.0005862184,0.0000420938,0.000006146024,0.00004822131,0.9978158,0.0002778011,0.0004535629],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0654652,"threshold_uncertainty_score":0.219003,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6931954003","doi":"10.5683/sp3/tfnpqf","title":"1961-2017 monthly potential groundwater recharge in southern Quebec database","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Phytochemistry and biological activities of Ficus species","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Groundwater recharge; Hydrology (agriculture); Evapotranspiration; Snowmelt; Surface runoff; Groundwater; Watershed; Water resources","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02419019003693097,"gpt":0.2238481559985854,"spread":0.1996579659616545,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003414309,0.0007377438,0.0006085493,0.001895586,0.0008588867,0.00132089,0.001492529,0.0005105914,0.02580437],"category_scores_gemma":[0.001941422,0.0002496221,0.0006817429,0.004331142,0.0002196547,0.0005024665,0.0003565208,0.0005184725,0.003608393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01592083,"about_ca_system_score_gemma":0.01315285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9837031,"about_ca_topic_score_gemma":0.9849754,"domain_scores_codex":[0.9997523,0.00002440616,0.00001904846,0.00005272324,0.0001000081,0.00005142123],"domain_scores_gemma":[0.9984158,0.0001163552,0.0000805709,0.0001107112,0.001158712,0.000117902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004313108,0.0001345786,0.07908214,0.0007029761,0.0004545781,0.0002977594,0.0001719241,0.1075367,0.0008898186,0.004148481,0.7577127,0.04843706],"study_design_scores_gemma":[0.0007507582,0.00006031738,0.1360493,0.0004428954,0.000194873,0.0001143239,0.0004102872,0.220863,0.001884947,0.001755838,0.6372591,0.0002142558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02321278,0.0005110748,0.00121949,0.0003187744,0.00003671816,0.00009392099,0.9614424,0.00146942,0.01169536],"genre_scores_gemma":[0.1470195,0.0007178589,0.004076669,0.0001418282,0.00002331358,0.0002583847,0.8386166,0.0002787303,0.008867105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02580437,"threshold_uncertainty_score":0.1155142,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6931892162","doi":"10.5683/sp3/zvtr4b","title":"Tesla Model 3 2170 Li-ion Cell Dataset and Battery SOC Estimation Blind Modeling Tool","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); State of charge; State (computer science); Estimation; Model validation; Relation (database); Estimation theory; Experimental data","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04281128942569199,"gpt":0.2907492696768493,"spread":0.2479379802511573,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00120627,0.003093097,0.00146923,0.002243041,0.0008511158,0.001915224,0.004020062,0.002754979,0.02705535],"category_scores_gemma":[0.005825367,0.0006631261,0.001914251,0.002982601,0.0005148898,0.001557125,0.00180383,0.001830654,0.05204695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487829,"about_ca_system_score_gemma":0.001791595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02407505,"about_ca_topic_score_gemma":0.04224319,"domain_scores_codex":[0.9987943,0.0001811545,0.0001229818,0.0003425695,0.0004053763,0.0001535533],"domain_scores_gemma":[0.9978928,0.0004350729,0.0001136891,0.0006903431,0.0007715784,0.00009654157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001612908,0.00008654955,0.001357459,0.0009627683,0.00007098707,0.00007839574,0.00003463469,0.003882601,0.0006666231,0.0007067429,0.9832149,0.008777105],"study_design_scores_gemma":[0.0005649597,0.0001746244,0.006667506,0.0004259553,0.0001319836,0.0003846574,0.0001702694,0.02037536,0.005688303,0.005825869,0.9594304,0.0001601722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00136041,0.000177334,0.001364286,0.0001466507,0.00008352827,0.00005249441,0.9896147,0.005562663,0.001637818],"genre_scores_gemma":[0.002265548,0.00006338838,0.001630786,0.00007187903,0.000009070337,0.0001693678,0.9945877,0.000258459,0.0009439493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02705535,"threshold_uncertainty_score":0.09050918,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6951056465","doi":"10.5683/sp2/w43pfi","title":"OCTID citation","year":2018,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Preprint; Citation; Coherence (philosophical gambling strategy); Optical coherence tomography","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02964393776049307,"gpt":0.2996199618556309,"spread":0.2699760240951378,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001302046,0.003318286,0.002141242,0.006292942,0.00187884,0.005431426,0.003967012,0.002693771,0.140766],"category_scores_gemma":[0.01091647,0.0006899711,0.001229408,0.00713977,0.0005848386,0.003947602,0.004245099,0.002020825,0.2453248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001730146,"about_ca_system_score_gemma":0.003730237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01809559,"about_ca_topic_score_gemma":0.02959393,"domain_scores_codex":[0.9976386,0.0002760374,0.0002426589,0.0006651674,0.0008570668,0.0003205286],"domain_scores_gemma":[0.9961351,0.0006093808,0.0002514919,0.001065142,0.001376905,0.0005619525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002869804,0.000009632735,0.0003011329,0.0002280597,0.000009183927,0.00001473726,0.000004969708,0.0001164099,0.00007149078,0.0002051217,0.9946293,0.004381321],"study_design_scores_gemma":[0.00007294247,0.00001745149,0.001279373,0.0001886082,0.0000204731,0.0001191193,0.00002988955,0.0007334968,0.0003977777,0.001265796,0.9958444,0.00003058762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005891146,0.001272522,0.0007081055,0.00129115,0.0009210598,0.0000670122,0.9827591,0.003177038,0.009214991],"genre_scores_gemma":[0.0009860477,0.0003627041,0.0006716996,0.0003593301,0.0001155449,0.00006439472,0.9925213,0.0002624609,0.004656491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.140766,"threshold_uncertainty_score":0.4709091,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6913007813","doi":"10.5683/sp3/lqyqjz","title":"Temperature, precipitation and soil characteristics of Volcan Cacao - Area de Conservacion Guanacaste (ACG), Costa Rica","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Guelph","funders":"","keywords":"Data logger; Precipitation; Deposition (geology); Leaf wetness; Air temperature; Hydrology (agriculture); Soil water; Atmospheric temperature","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02238307614875542,"gpt":0.268911294115745,"spread":0.2465282179669896,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002309954,0.0001588231,0.0001144354,0.0003934722,0.0003785458,0.0003425794,0.0002610499,0.0001197518,0.0007378268],"category_scores_gemma":[0.0004440408,0.00007219284,0.00010049,0.0009330942,0.0002263448,0.0001391531,0.0002630617,0.0001270783,0.0001695856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009914231,"about_ca_system_score_gemma":0.0004754417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2642441,"about_ca_topic_score_gemma":0.5125386,"domain_scores_codex":[0.9999017,0.00001966324,0.000006385887,0.00002954035,0.00002886852,0.00001385379],"domain_scores_gemma":[0.999687,0.00002589336,0.0000987552,0.00003489418,0.0001197551,0.0000336942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003566298,0.00002274057,0.9889026,0.00003537094,0.00003608105,0.0000850634,0.001051165,0.0002378134,0.002788043,0.00004152148,0.0007819125,0.005981859],"study_design_scores_gemma":[9.973465e-7,0.000005003783,0.9985908,0.00000394661,0.000003157002,0.00001743038,0.0002230884,0.00009070593,0.000096479,0.000003592844,0.0009636503,0.000001270386],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9936081,0.0002806825,0.0001605367,0.00008546611,0.000004076862,0.00002743896,0.002313107,0.00002286381,0.003497695],"genre_scores_gemma":[0.9968743,0.0001545665,0.0004059068,0.00003579211,0.000005714407,0.00002845771,0.001403868,0.000005665732,0.001085735],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2642441,"threshold_uncertainty_score":0.5254121,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6931668437","doi":"10.5683/sp3/3jszqm","title":"Data for Co-Response Crisis Mental Health Models: A Scoping Review","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Social Sciences and Humanities Research Council","keywords":"Mental health; Crisis intervention; Crisis response; Mental health law; Occupational safety and health; Psychological intervention; Public health","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.08013054153893098,"gpt":0.3962236712865693,"spread":0.3160931297476384,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01869586,0.002646609,0.008188735,0.04516558,0.001959623,0.005705125,0.003429871,0.003458843,0.06126772],"category_scores_gemma":[0.1219242,0.002045174,0.008417693,0.0477365,0.001308579,0.00387407,0.00602724,0.003013512,0.01000531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006315032,"about_ca_system_score_gemma":0.02943005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03151147,"about_ca_topic_score_gemma":0.07311625,"domain_scores_codex":[0.9792172,0.004965844,0.01079706,0.001567251,0.002736066,0.0007165666],"domain_scores_gemma":[0.9020686,0.06788877,0.01286083,0.004414021,0.01170801,0.001059852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003540826,0.00003340127,0.001072546,0.8836665,0.002252033,0.0001687957,0.0006176438,0.0003253837,0.0002764584,0.001505827,0.09042088,0.01930647],"study_design_scores_gemma":[0.0009879111,0.0000750827,0.004558348,0.734485,0.007914199,0.0001348194,0.000634774,0.0001467483,0.0002871421,0.00167089,0.2489974,0.0001076585],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00167552,0.06552096,0.001587398,0.001544905,0.0002012787,0.007994405,0.915782,0.0003677738,0.005325627],"genre_scores_gemma":[0.02439444,0.1999767,0.02163224,0.004065249,0.0002145296,0.1503735,0.5924045,0.0006623119,0.006276668],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06126772,"threshold_uncertainty_score":0.2049609,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2892355797","doi":"10.7939/dvn/10968","title":"WNED datasets and results","year":2017,"lang":"en","type":"dataset","venue":"Borealis","topic":"Topic Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Geography; Archaeology; Cartography","authors":[{"name":"Zhaochen Guo","is_ca":true},{"name":"Denilson Barbosa","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03943210719498486,"gpt":0.3049785461779799,"spread":0.265546438982995,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003696797,0.004833232,0.002332091,0.006363779,0.002140437,0.002817201,0.005577169,0.00294461,0.0463493],"category_scores_gemma":[0.01002388,0.0008669453,0.002672598,0.007171003,0.001082482,0.002950452,0.003687364,0.003542096,0.07921862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003183441,"about_ca_system_score_gemma":0.00380885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02872725,"about_ca_topic_score_gemma":0.06274524,"domain_scores_codex":[0.9965541,0.0006199587,0.0004566111,0.0008660911,0.001039663,0.0004635469],"domain_scores_gemma":[0.9957168,0.0008007834,0.0002387495,0.001627298,0.001201523,0.0004150097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001414982,0.0001449846,0.0007607299,0.0003928041,0.00004840116,0.00003759122,0.00001718463,0.0008442419,0.0002142418,0.0005532404,0.9900787,0.006766417],"study_design_scores_gemma":[0.000591113,0.000145049,0.004992525,0.0003504496,0.000109824,0.0002656424,0.0003203352,0.006396004,0.002618431,0.004467156,0.9796402,0.0001032427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001185572,0.0002408603,0.0005854908,0.0002424468,0.0002616515,0.0001529062,0.9922622,0.002416773,0.002651981],"genre_scores_gemma":[0.0006394185,0.00007492299,0.00107306,0.00007483495,0.00001559015,0.0001936836,0.9967576,0.0001005696,0.001070333],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0463493,"threshold_uncertainty_score":0.1550539,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}