{"meta":{"query_hash":"f43fd6fb7c73","filters":{"topic":"Text Readability and Simplification"},"cohort_total":268,"direct_labels_cover":1,"predictions_cover":268,"exported":268,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/f43fd6fb7c73","api":"https://metacan.xera.ac/api/v1/cohort?topic=Text+Readability+and+Simplification"},"results":[{"id":"W138511995","doi":"","title":"Strategies for Teaching Word Recognition to Children with Reading Deficiencies.","year":2000,"lang":"en","type":"article","venue":"Early childhood education","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reading (process); Word (group theory); Psychology; Word recognition; Linguistics; Computer science; Philosophy","score_opus":0.012410120996237773,"score_gpt":0.2436448387961709,"score_spread":0.23123471779993313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W138511995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6316022,0.0074009066,0.23898023,0.01320107,0.0011315637,0.0044416646,0.00050315674,0.00708643,0.095652744],"genre_scores_gemma":[0.445544,0.007526365,0.5186155,0.0011647327,0.00015950364,0.0036894667,0.00042575985,0.00024337598,0.022631276],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995297,0.0001961367,0.00003107497,0.00007363085,0.00011333673,0.000056076868],"domain_scores_gemma":[0.9984682,0.0008518339,0.00013844862,0.000111122325,0.00013697757,0.00029338128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095515704,0.0007428295,0.0002928899,0.00069129444,0.00044821497,0.0007263017,0.0012497534,0.0007732066,0.0063705845],"category_scores_gemma":[0.006669099,0.00025804774,0.00033337795,0.0003241786,0.00035998193,0.0009147714,0.0011781865,0.0015896616,0.0014862112],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046272713,0.010807143,0.004620701,0.001424524,0.000040733445,0.00097329845,0.009710163,0.0015112979,0.018222624,0.005679563,0.027446559,0.9191006],"study_design_scores_gemma":[0.005704703,0.016179588,0.12658927,0.0076606693,0.0016807478,0.014395165,0.045001052,0.029619401,0.12676731,0.12856384,0.497261,0.0005773049],"about_ca_topic_score_codex":0.002464976,"about_ca_topic_score_gemma":0.007894326,"teacher_disagreement_score":0.0063705845,"about_ca_system_score_codex":0.00044311178,"about_ca_system_score_gemma":0.0013183163,"threshold_uncertainty_score":0.0213117},"labels":[],"label_agreement":null},{"id":"W1586471131","doi":"","title":"A Readability Study and Its Relevance to Simplification on Translations of Lun Yu","year":2014,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Sentence; Reading (process); Linguistics; Index (typography); Computer science; Relevance (law); Natural language processing; Philosophy; World Wide Web","score_opus":0.0239070417033075,"score_gpt":0.3340671695770551,"score_spread":0.31016012787374764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586471131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97861767,0.00049046136,0.008408058,0.0003419012,0.00003075723,0.000102310005,0.00017323092,0.000036020796,0.011799502],"genre_scores_gemma":[0.9964575,0.0001798865,0.0022492334,0.000024295472,0.000018296141,0.000060852697,0.00017913086,0.00001678801,0.00081393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967359,0.0016088155,0.00032742257,0.00032837974,0.00087784504,0.00012158827],"domain_scores_gemma":[0.9731631,0.019013174,0.0026095388,0.0012148417,0.003785056,0.00021422381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029763908,0.0003579466,0.00040490564,0.004009444,0.0008640169,0.0017335082,0.00036671228,0.0002817844,0.0033727777],"category_scores_gemma":[0.031248413,0.00014185839,0.00051431695,0.0036167023,0.0018643236,0.0030167387,0.0008683338,0.000641237,0.0002755157],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014419449,0.0005172612,0.36881626,0.0015347269,0.00032772252,0.0029874768,0.22679722,0.002333419,0.0238538,0.030853976,0.0023436889,0.3381924],"study_design_scores_gemma":[0.00005453758,0.001124396,0.8870402,0.00024303865,0.00022261257,0.0011057832,0.057408154,0.008027527,0.01723613,0.015858976,0.011575667,0.00010296185],"about_ca_topic_score_codex":0.004222219,"about_ca_topic_score_gemma":0.0029464513,"teacher_disagreement_score":0.004222219,"about_ca_system_score_codex":0.0011025092,"about_ca_system_score_gemma":0.0008358622,"threshold_uncertainty_score":0.015740812},"labels":[],"label_agreement":null},{"id":"W1588239581","doi":"10.14264/158129","title":"Acquisition of word order in Chinese as a foreign language: An error taxonomy","year":2006,"lang":"en","type":"dissertation","venue":"The University of Queensland","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Word order; Linguistics; Second-language acquisition; Computer science; Sentence; Natural language processing; Verb; Chinese as a foreign language; Foreign language; Taxonomy (biology); Artificial intelligence","score_opus":0.011351428564590968,"score_gpt":0.2381980508552892,"score_spread":0.22684662229069824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588239581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855341,0.0007715184,0.0070247054,0.00029713102,0.00004165077,0.0002988814,0.00047579626,0.000118102886,0.00543816],"genre_scores_gemma":[0.98741794,0.0013293945,0.008232237,0.00008669849,0.000014464638,0.0002710283,0.0008801023,0.0000541732,0.001713927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9915936,0.0012240359,0.0021646468,0.0008148512,0.0036209356,0.0005820419],"domain_scores_gemma":[0.94406146,0.025757452,0.011241346,0.0034649717,0.014683196,0.0007915832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006167577,0.00085095846,0.0008794863,0.007402762,0.0018999731,0.0024276255,0.001308481,0.00088159565,0.0013244495],"category_scores_gemma":[0.038554292,0.00038067304,0.00053430005,0.006173235,0.0027875472,0.0031102586,0.0032170098,0.0013139735,0.0005642107],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026267205,0.00025051794,0.81203026,0.0004690314,0.00004890753,0.0011763301,0.0438123,0.00096137903,0.0020149515,0.0027583493,0.0010062457,0.13520902],"study_design_scores_gemma":[0.00003770069,0.000596672,0.8610966,0.0011778687,0.0002003175,0.0050650346,0.08556487,0.013699306,0.009750479,0.008951221,0.013691357,0.00016847362],"about_ca_topic_score_codex":0.020368643,"about_ca_topic_score_gemma":0.014834157,"teacher_disagreement_score":0.020368643,"about_ca_system_score_codex":0.0018364395,"about_ca_system_score_gemma":0.004755854,"threshold_uncertainty_score":0.040500164},"labels":[],"label_agreement":null},{"id":"W1794926608","doi":"10.7202/1029140ar","title":"Mise sur pied d’une mesure de la compréhension de textes en langue seconde","year":2015,"lang":"fr","type":"article","venue":"Nouveaux cahiers de la recherche en éducation","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec à Trois-Rivières; Université TÉLUQ","funders":"","keywords":"Humanities; Philosophy; Art","score_opus":0.13363193737850956,"score_gpt":0.3773233387236118,"score_spread":0.24369140134510223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1794926608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91272795,0.0019578761,0.038166996,0.0014611842,0.00071262976,0.00065696036,0.0019818891,0.0015261987,0.04080834],"genre_scores_gemma":[0.93678814,0.00091165357,0.037738103,0.00039984184,0.00009325779,0.0010044773,0.0017236586,0.00023814598,0.021102782],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9898291,0.0035669783,0.0008899316,0.0015627142,0.0036931832,0.00045799353],"domain_scores_gemma":[0.94046897,0.035497475,0.0038207974,0.0035017664,0.015349928,0.0013611375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013632174,0.0012569771,0.0008323546,0.0027142097,0.0011618475,0.003613681,0.0009310127,0.0012668896,0.0121190045],"category_scores_gemma":[0.07530323,0.00050803594,0.0008247104,0.0014857796,0.0015439043,0.0033870137,0.0029400159,0.0012919294,0.003929419],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037622305,0.00047974865,0.10039649,0.0014110724,0.00031706726,0.0007651888,0.04676846,0.0014831506,0.059472293,0.0047660274,0.015713163,0.7646651],"study_design_scores_gemma":[0.00033596632,0.011103487,0.6479359,0.0013628791,0.0004341802,0.0027058453,0.053555235,0.011575759,0.1047536,0.0077735465,0.15779757,0.00066600554],"about_ca_topic_score_codex":0.007109086,"about_ca_topic_score_gemma":0.0056283916,"teacher_disagreement_score":0.013632174,"about_ca_system_score_codex":0.0017824509,"about_ca_system_score_gemma":0.002000695,"threshold_uncertainty_score":0.07209474},"labels":[],"label_agreement":null},{"id":"W194107648","doi":"10.55016/ojs/ajer.v47i1.54843","title":"Implicit and Explicit Awareness of a Phonics Rule in the Word Recognition of Students With and Without Learning Disabilities","year":2001,"lang":"en","type":"article","venue":"Alberta Journal of Educational Research","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Brock University","funders":"University of Oxford","keywords":"Phonics; Psychology; Word (group theory); Word recognition; Learning disability; Mathematics education; Linguistics; Cognitive psychology; Primary education; Developmental psychology; Reading (process)","score_opus":0.09379435475860663,"score_gpt":0.4029971680632219,"score_spread":0.30920281330461524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W194107648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999652,0.000036440368,0.000029128505,0.000013861059,0.0000015330178,0.000003200451,0.00001355069,0.0000019955232,0.00024827302],"genre_scores_gemma":[0.999361,0.000046793153,0.00005744497,0.000013527767,0.0000015881587,0.000004832761,0.00003815658,0.0000016061026,0.0004752521],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991154,0.000073993884,0.00015948588,0.00014893021,0.0003006316,0.00020159119],"domain_scores_gemma":[0.99321365,0.00169762,0.0027217632,0.00042157542,0.0010607064,0.0008846435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009166189,0.00049319136,0.0006056628,0.0020134577,0.00037975798,0.001842654,0.0004533927,0.00080366497,0.0024961792],"category_scores_gemma":[0.011008175,0.0003641465,0.0004521947,0.00046713918,0.0013446516,0.002002771,0.0015758841,0.0013705636,0.000769598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048382932,0.001338448,0.9361303,0.00011652949,0.000055664437,0.0009504908,0.018937854,0.00023333021,0.009626445,0.00024078926,0.00019607884,0.03169034],"study_design_scores_gemma":[0.000028745368,0.0014406409,0.9818273,0.00003921565,0.00004872538,0.0023125834,0.008600298,0.0006013385,0.0039581847,0.00048109298,0.0006171745,0.000044691475],"about_ca_topic_score_codex":0.0042754533,"about_ca_topic_score_gemma":0.004196051,"teacher_disagreement_score":0.0042754533,"about_ca_system_score_codex":0.00034726516,"about_ca_system_score_gemma":0.00054344424,"threshold_uncertainty_score":0.008501112},"labels":[],"label_agreement":null},{"id":"W1961156749","doi":"10.18438/b84301","title":"Selecting Which Databases to Teach Students in Communication Disorders by Considering Database Pairs that Index Core Journals in the Field","year":2015,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"CINAHL; PsycINFO; Session (web analytics); Database; Computer science; MEDLINE; Citation; Online database; Search engine indexing; Library science; Web of science; World Wide Web; Psychology","score_opus":0.0687348282726331,"score_gpt":0.3485507417334791,"score_spread":0.279815913460846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1961156749","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5445597,0.20062745,0.05301692,0.035658233,0.0040381667,0.038996145,0.013783627,0.0030184996,0.106301315],"genre_scores_gemma":[0.5059736,0.087519914,0.36088488,0.009559305,0.0008463984,0.016769737,0.006872369,0.00047625802,0.01109753],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.97936034,0.009130547,0.0065714056,0.0011452114,0.0031107338,0.0006817084],"domain_scores_gemma":[0.8917661,0.067442805,0.012278071,0.0028625135,0.019526418,0.0061240573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023780476,0.00059045514,0.0021479914,0.022430679,0.0028280078,0.010938101,0.00197426,0.0014401987,0.020876009],"category_scores_gemma":[0.13187617,0.0008153753,0.0016829891,0.01970159,0.0005279233,0.009405466,0.0048886267,0.0009065139,0.0058499523],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015933831,0.0009840929,0.024459852,0.030616036,0.0005483385,0.00032392587,0.004869667,0.00023038352,0.0032115686,0.002540754,0.022373598,0.90824836],"study_design_scores_gemma":[0.006098577,0.0071124844,0.15076274,0.07891568,0.012818391,0.0035170827,0.097335376,0.0031994616,0.03237114,0.016748454,0.5903418,0.0007788079],"about_ca_topic_score_codex":0.0022864593,"about_ca_topic_score_gemma":0.008694505,"teacher_disagreement_score":0.023780476,"about_ca_system_score_codex":0.0033897415,"about_ca_system_score_gemma":0.012583402,"threshold_uncertainty_score":0.12576473},"labels":[],"label_agreement":null},{"id":"W2005151783","doi":"10.1016/j.jslw.2014.03.001","title":"Summary writing in a Thai EFL university context","year":2014,"lang":"en","type":"article","venue":"Journal of Second Language Writing","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Paragraph; Copying; Rhetorical question; Appropriation; Computer science; Class (philosophy); Linguistics; Context (archaeology); Second language writing; Academic writing; Psychology; Mathematics education; Artificial intelligence; History; World Wide Web; Second language; Philosophy","score_opus":0.009962077365459262,"score_gpt":0.22726213751455573,"score_spread":0.21730006014909647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005151783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93608963,0.00075806945,0.0014518736,0.0026344985,0.00018297475,0.000054263986,0.000214798,0.000105550214,0.058508273],"genre_scores_gemma":[0.9914191,0.00014974605,0.0004596655,0.00012447494,0.000045531626,0.000009894282,0.000062849824,0.000026100051,0.0077026226],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9976857,0.0013514083,0.00018704141,0.00020061908,0.00030874522,0.0002665111],"domain_scores_gemma":[0.9902936,0.005194785,0.0011319881,0.0004819047,0.0013420915,0.0015555222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012676712,0.00039073869,0.00035765275,0.0010848504,0.005460727,0.006267214,0.00053043093,0.0008686971,0.016626341],"category_scores_gemma":[0.009718081,0.00018349916,0.00012808364,0.0019276271,0.0017495821,0.0024625105,0.0023572687,0.001944818,0.0019756416],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000476572,0.00066602323,0.029072799,0.0006076527,0.000015176772,0.019159326,0.7823298,0.000605926,0.0042390223,0.018477371,0.019625233,0.12472517],"study_design_scores_gemma":[0.00006936537,0.000573101,0.041970987,0.00041788767,0.000024911924,0.008732986,0.79466087,0.0019036151,0.0042338762,0.0063629383,0.14094321,0.00010620457],"about_ca_topic_score_codex":0.004913792,"about_ca_topic_score_gemma":0.007110476,"teacher_disagreement_score":0.016626341,"about_ca_system_score_codex":0.0017298689,"about_ca_system_score_gemma":0.002275234,"threshold_uncertainty_score":0.05562061},"labels":[],"label_agreement":null},{"id":"W2013933696","doi":"10.5539/elt.v4n1p11","title":"Use of Syntactic Elaboration Techniques to Enhance Comprehensibility of EST Texts","year":2011,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Elaboration; Syntax; Lexis; Linguistics; Reading comprehension; Comprehension; Psychology; Computer science; Reading (process); Natural language processing; Artificial intelligence; Humanities","score_opus":0.028059086049200398,"score_gpt":0.29140460104286997,"score_spread":0.2633455149936696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013933696","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99416566,0.00013656067,0.0043573407,0.00005609487,0.000012843886,0.00009619704,0.000023598956,0.00006661646,0.0010851629],"genre_scores_gemma":[0.982002,0.00029803472,0.01627062,0.00003615202,0.00003304827,0.00013482773,0.000121600344,0.000033861812,0.0010698673],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.998887,0.0005281863,0.00016449584,0.0001452683,0.00022671044,0.000048372065],"domain_scores_gemma":[0.98488426,0.011594793,0.001796328,0.0010357364,0.00051172724,0.00017703652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015818757,0.0006362164,0.00050494325,0.00053469895,0.0001452023,0.0006902704,0.00038590352,0.00035938033,0.002051499],"category_scores_gemma":[0.016727095,0.0001939698,0.0003789716,0.00032678267,0.00033343578,0.0008954202,0.00060761184,0.00066975626,0.00034086048],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034330888,0.0030393517,0.032834515,0.0018186836,0.00024718096,0.001182006,0.0121388845,0.0014141923,0.54274184,0.0013214491,0.0006636325,0.39916518],"study_design_scores_gemma":[0.00072528917,0.02012478,0.6508837,0.00040380395,0.0012263434,0.0028763488,0.004697671,0.009175595,0.29000252,0.004898273,0.014782927,0.00020265035],"about_ca_topic_score_codex":0.00007770784,"about_ca_topic_score_gemma":0.000156431,"teacher_disagreement_score":0.002051499,"about_ca_system_score_codex":0.000113967304,"about_ca_system_score_gemma":0.00024180893,"threshold_uncertainty_score":0.0083658695},"labels":[],"label_agreement":null},{"id":"W2014841664","doi":"10.5539/ijel.v1n1p37","title":"A Comparison between the Difficulty Level (Readability) of English Medical Texts and Their Persian Translations","year":2011,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Persian; Significant difference; Index (typography); Linguistics; Syllabus; Psychology; Natural language processing; Computer science; History; Mathematics education; Mathematics; Statistics; Philosophy; World Wide Web","score_opus":0.07237472604349313,"score_gpt":0.3096337522581213,"score_spread":0.23725902621462816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014841664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959122,0.00029211328,0.0004365516,0.000034444,0.000010184851,0.00001568052,0.000103336686,0.000012489801,0.0031829318],"genre_scores_gemma":[0.9985436,0.00014445906,0.00044625162,0.00001663528,0.000011043654,0.000012353535,0.00018555405,0.000005900636,0.0006341011],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991148,0.0002313019,0.00018080953,0.00010105101,0.00032103228,0.000050990086],"domain_scores_gemma":[0.99413496,0.003146945,0.0013625824,0.00024443577,0.0008652552,0.00024576133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083318347,0.00022931072,0.00019023982,0.0018151669,0.0001359269,0.0006033697,0.00012750445,0.00016444444,0.0027003132],"category_scores_gemma":[0.009422536,0.00007461163,0.0002341106,0.00076159794,0.00030960413,0.00057092647,0.00036971562,0.00017544738,0.0004009406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014290371,0.0005673293,0.7578447,0.000650727,0.00040513286,0.0013784538,0.019248538,0.00043829254,0.031569857,0.00066567084,0.0014379511,0.18436424],"study_design_scores_gemma":[0.000020310701,0.0006892217,0.99025905,0.000035497975,0.000041657808,0.00094755203,0.0028565675,0.00029919288,0.0027545874,0.00023186495,0.0018506832,0.000013965587],"about_ca_topic_score_codex":0.0005147355,"about_ca_topic_score_gemma":0.00078648987,"teacher_disagreement_score":0.0027003132,"about_ca_system_score_codex":0.00014702928,"about_ca_system_score_gemma":0.00014749012,"threshold_uncertainty_score":0.009033382},"labels":[],"label_agreement":null},{"id":"W2017541092","doi":"10.1145/1090785.1090809","title":"Semantic knowledge in word completion","year":2005,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Natural language processing; Artificial intelligence; Context (archaeology); Semantic similarity; Noun; Semantic compression; Word (group theory); Knowledge base; Semantic computing; Explicit semantic analysis; Semantics (computer science); Rank (graph theory); Information retrieval; Semantic Web; Semantic technology; Linguistics; Mathematics","score_opus":0.026802824945245676,"score_gpt":0.27575806934328606,"score_spread":0.2489552443980404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017541092","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043290116,0.00034382576,0.94938743,0.00029833496,0.000031681164,0.00016363504,0.0001986875,0.0033288416,0.0029573466],"genre_scores_gemma":[0.47763795,0.00042325899,0.5155984,0.00016754415,0.00009080231,0.0002972104,0.0012061355,0.00035814577,0.004220574],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978163,0.00066249317,0.00011436059,0.0006199053,0.0006324171,0.0001545436],"domain_scores_gemma":[0.99502844,0.0025556232,0.00035880166,0.0009472364,0.0008785311,0.00023139335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020301058,0.0013633664,0.0013008193,0.0030297386,0.0010138728,0.001729295,0.0024304641,0.001285462,0.0053444975],"category_scores_gemma":[0.01198977,0.0007042613,0.0015898593,0.002265571,0.0017153077,0.0068172845,0.0029034396,0.0015113329,0.002108344],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066631555,0.0005799842,0.0051484234,0.0004920657,0.00015998665,0.00050330546,0.0027488193,0.07706454,0.015058432,0.033042125,0.0043402556,0.8601957],"study_design_scores_gemma":[0.000069985406,0.00028216068,0.0032541552,0.00007583092,0.00013189236,0.00058938767,0.0007533213,0.7920305,0.01910293,0.17211597,0.011471879,0.00012210317],"about_ca_topic_score_codex":0.007496139,"about_ca_topic_score_gemma":0.007268848,"teacher_disagreement_score":0.007496139,"about_ca_system_score_codex":0.0008172079,"about_ca_system_score_gemma":0.0017554475,"threshold_uncertainty_score":0.017879188},"labels":[],"label_agreement":null},{"id":"W2024022825","doi":"10.1017/s0140525x0346010x","title":"Eye-movement control in reading: Models and predictions","year":2003,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Eye movement; Word (group theory); Reading (process); Computer science; Control (management); Word processing; Encoding (memory); Natural language processing; Visual processing; Cognitive psychology; Artificial intelligence; Psychology; Speech recognition; Linguistics; Neuroscience","score_opus":0.05916790786284594,"score_gpt":0.31845350920583787,"score_spread":0.25928560134299194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024022825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43948328,0.011392852,0.42640093,0.02933432,0.00092067814,0.00021749703,0.001038127,0.0018380745,0.08937437],"genre_scores_gemma":[0.98357695,0.0020275991,0.009416465,0.00045590254,0.00028159167,0.00013660795,0.0001328218,0.00004275844,0.0039291964],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995357,0.00014796483,0.000026251791,0.00012554499,0.00008068589,0.00008394686],"domain_scores_gemma":[0.997322,0.001891674,0.00028577223,0.00017540656,0.00019162818,0.00013342382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016136273,0.00092200795,0.00080001913,0.0010002461,0.00036138468,0.0023877192,0.002174699,0.0030864635,0.0039007769],"category_scores_gemma":[0.004123252,0.00044864026,0.0008221372,0.00048648397,0.0024268748,0.003721325,0.000856991,0.0012944438,0.0012515647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005779672,0.00029405765,0.0065386733,0.00045593345,0.00012737708,0.00070737343,0.0009601562,0.1526913,0.004635694,0.7953863,0.004008199,0.033616967],"study_design_scores_gemma":[0.00013096038,0.00012680823,0.0031080656,0.000041049654,0.000024037834,0.00012343733,0.00012494062,0.27673912,0.0006060116,0.71806246,0.0008632614,0.000049855924],"about_ca_topic_score_codex":0.0022639192,"about_ca_topic_score_gemma":0.00089701667,"teacher_disagreement_score":0.0039007769,"about_ca_system_score_codex":0.0007719951,"about_ca_system_score_gemma":0.00044894664,"threshold_uncertainty_score":0.013049364},"labels":[],"label_agreement":null},{"id":"W2076265438","doi":"10.1016/s0885-3924(00)00239-6","title":"Impact of the Edmonton Labeled Visual Information System on Physician Recall of Metastatic Cancer Patient Histories","year":2001,"lang":"en","type":"article","venue":"Journal of Pain and Symptom Management","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Grey Nuns Community Hospital","funders":"","keywords":"Medicine; Memorization; Recall; Preference; Cancer; Crossover study; Internal medicine; Pathology; Alternative medicine; Statistics; Psychology","score_opus":0.009816664753489034,"score_gpt":0.2565186429546267,"score_spread":0.24670197820113765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076265438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735908,0.0013832651,0.0051547415,0.0017674252,0.00023945588,0.0004344558,0.005294063,0.004254925,0.007880923],"genre_scores_gemma":[0.96014637,0.0005676579,0.026163165,0.00079623255,0.0001629511,0.00017312952,0.0052169496,0.00040113964,0.006372354],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9974371,0.0013973213,0.00029088827,0.00025314614,0.0005518684,0.00006966008],"domain_scores_gemma":[0.9103303,0.08110164,0.0022149754,0.0014216254,0.0041015283,0.0008299783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032580053,0.0003809241,0.0005397435,0.001740707,0.00048254884,0.0014524666,0.0006575568,0.0007004845,0.008261126],"category_scores_gemma":[0.051095035,0.00027571723,0.00048483614,0.0008260895,0.00018200163,0.001296886,0.0007402527,0.0004970048,0.001046491],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0338789,0.0033548553,0.07940105,0.001198269,0.00045544683,0.000956836,0.002087396,0.008669687,0.012678689,0.0005322469,0.037055667,0.819731],"study_design_scores_gemma":[0.0061263526,0.014518712,0.66081536,0.0013091118,0.0040492136,0.003401297,0.0034945542,0.20444292,0.058156,0.0019233369,0.04107201,0.0006911847],"about_ca_topic_score_codex":0.03095692,"about_ca_topic_score_gemma":0.028519206,"teacher_disagreement_score":0.03095692,"about_ca_system_score_codex":0.0011057067,"about_ca_system_score_gemma":0.0012450437,"threshold_uncertainty_score":0.06155348},"labels":[],"label_agreement":null},{"id":"W2078046066","doi":"10.7202/900315ar","title":"L’influence de la compréhension en lecture sur les résultats aux tests utilisés en éducation","year":2009,"lang":"fr","type":"article","venue":"Revue des sciences de l éducation","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Psychology; Philosophy","score_opus":0.194212707731148,"score_gpt":0.3950219222366014,"score_spread":0.2008092145054534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078046066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.953221,0.0022018538,0.02117251,0.00078496785,0.0002675019,0.00018115244,0.0005455534,0.0005265368,0.021098875],"genre_scores_gemma":[0.9891249,0.00055653654,0.005526015,0.0002265373,0.00012708137,0.00015971817,0.0003584062,0.000262453,0.0036584095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9629889,0.021612318,0.0022817422,0.0036409057,0.008455999,0.0010201327],"domain_scores_gemma":[0.47392365,0.4842669,0.0128238555,0.0073539787,0.019554188,0.0020773655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027387816,0.0012963315,0.0010965138,0.0024600355,0.00047801377,0.0040504294,0.0012305856,0.001812005,0.008235642],"category_scores_gemma":[0.25389388,0.00040029307,0.0012719006,0.0018504973,0.001759513,0.0028704174,0.001542155,0.0015450153,0.0031227027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009908558,0.0016358494,0.48694813,0.0025172154,0.0017954371,0.00077740755,0.017248584,0.0050330847,0.05314246,0.0019365613,0.003122304,0.41593432],"study_design_scores_gemma":[0.00019365753,0.0051000975,0.93654007,0.0002788344,0.0006006344,0.0007035124,0.0026861213,0.005448704,0.04035733,0.0024953384,0.005408824,0.00018686522],"about_ca_topic_score_codex":0.0026257609,"about_ca_topic_score_gemma":0.0013440357,"teacher_disagreement_score":0.027387816,"about_ca_system_score_codex":0.0007300302,"about_ca_system_score_gemma":0.00071184296,"threshold_uncertainty_score":0.14484233},"labels":[],"label_agreement":null},{"id":"W2102137313","doi":"10.1002/j.2048-7940.2010.tb00284.x","title":"How to Choose and Develop Written Educational Materials","year":2010,"lang":"en","type":"article","venue":"Rehabilitation Nursing","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Reseau canadien de recherche respiratoire","keywords":"Computer science; Mathematics education; Psychology","score_opus":0.009490039935537474,"score_gpt":0.2730680900962374,"score_spread":0.2635780501606999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102137313","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.122424364,0.0037057593,0.66295546,0.044235818,0.0072347135,0.032533236,0.0014705692,0.011744694,0.113695405],"genre_scores_gemma":[0.061631028,0.0024518017,0.9016542,0.0030486274,0.00072487426,0.006919692,0.0010434432,0.0008661002,0.021660272],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98393065,0.009105633,0.0020892306,0.0006509914,0.0037605327,0.0004629442],"domain_scores_gemma":[0.93674505,0.04257905,0.0049458835,0.003345528,0.010003325,0.0023811765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022599254,0.0014700847,0.00095893664,0.003083943,0.0014113656,0.0042455345,0.0019381441,0.0023708774,0.016735356],"category_scores_gemma":[0.11369292,0.00069303095,0.000794146,0.0012281096,0.0010879257,0.0071418015,0.0023906857,0.00286019,0.01518216],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017175419,0.0010386468,0.0018636095,0.001505515,0.000015115096,0.0007627916,0.006046578,0.00070050015,0.007916796,0.004173302,0.07140939,0.90439606],"study_design_scores_gemma":[0.00057934417,0.0021253088,0.01479355,0.008192256,0.0001468245,0.004038329,0.025310332,0.007874506,0.03949397,0.042239036,0.8545769,0.00062960724],"about_ca_topic_score_codex":0.00022998512,"about_ca_topic_score_gemma":0.00042628834,"teacher_disagreement_score":0.022599254,"about_ca_system_score_codex":0.0008367981,"about_ca_system_score_gemma":0.0028917678,"threshold_uncertainty_score":0.119517684},"labels":[],"label_agreement":null},{"id":"W2108070002","doi":"10.7202/603125ar","title":"Varying Approaches to Readability Measurement","year":2009,"lang":"en","type":"article","venue":"Revue québécoise de linguistique","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Navy; American Educational Research Association","keywords":"Readability; Sentence; Judgement; Computer science; Cognition; Natural language processing; Reliability (semiconductor); Qualitative research; Meaning (existential); Measure (data warehouse); Linguistics; Artificial intelligence; Cognitive psychology; Psychology; Data science; Information retrieval; Data mining; Epistemology; Sociology; Social science","score_opus":0.11304718228313618,"score_gpt":0.2731314378407082,"score_spread":0.16008425555757202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108070002","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15056515,0.08182942,0.4949888,0.020890668,0.0018811659,0.001105891,0.0014986082,0.0010295912,0.24621066],"genre_scores_gemma":[0.77421486,0.026461326,0.17407429,0.0033926445,0.0013002905,0.0022253112,0.0011099632,0.00032268793,0.016898569],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.95735055,0.019156981,0.0029277839,0.004105573,0.015855506,0.00060362206],"domain_scores_gemma":[0.90891063,0.051180005,0.0074451584,0.005249946,0.025721647,0.0014924936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021160373,0.0010613707,0.0010149252,0.01781853,0.0016116886,0.005530104,0.0031804766,0.0017083016,0.003574104],"category_scores_gemma":[0.10421425,0.00039388242,0.0009442434,0.013024664,0.007628206,0.0067124385,0.0053237295,0.0032900774,0.00069720636],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018639708,0.00019084904,0.04125795,0.001890827,0.00019857501,0.00009170547,0.01963606,0.0017132176,0.001811734,0.31521976,0.0046060155,0.613197],"study_design_scores_gemma":[0.00007950293,0.00093251956,0.17633675,0.005807195,0.00034666227,0.0011768047,0.027105782,0.0129353,0.011910313,0.4984357,0.2643243,0.0006092014],"about_ca_topic_score_codex":0.009388535,"about_ca_topic_score_gemma":0.010974333,"teacher_disagreement_score":0.021160373,"about_ca_system_score_codex":0.00879793,"about_ca_system_score_gemma":0.0033294712,"threshold_uncertainty_score":0.11190814},"labels":[],"label_agreement":null},{"id":"W2116208975","doi":"10.1177/0011128712453689","title":"Measuring the Reading Complexity and Oral Comprehension of Canadian Youth Waiver Forms","year":2012,"lang":"en","type":"article","venue":"Crime & Delinquency","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; Bishop's University","funders":"","keywords":"Waiver; Readability; Sentence; Comprehension; Reading (process); Psychology; Sample (material); Linguistics; Computer science; Law; Political science; Natural language processing","score_opus":0.17199358339867635,"score_gpt":0.2807526811983297,"score_spread":0.10875909779965334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116208975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981659,0.000048820344,0.0000903459,0.000020919697,0.0000016808782,0.0000437319,0.0002772114,0.000006606334,0.0013448462],"genre_scores_gemma":[0.9975896,0.00011892931,0.0005572657,0.00001762883,0.0000032218275,0.000053319203,0.0007167965,0.0000071014615,0.0009362905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984534,0.00012691082,0.00016952526,0.0001480275,0.0008108682,0.00029129352],"domain_scores_gemma":[0.9937071,0.0009199749,0.0018095367,0.00027359682,0.0028028511,0.00048685633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015890646,0.0004491977,0.00036416453,0.00317792,0.0016644518,0.001681871,0.00054771546,0.00032660482,0.0023269188],"category_scores_gemma":[0.009729491,0.0002652341,0.0003810394,0.0019837779,0.0009172601,0.00050849013,0.00078005414,0.0005503739,0.00023747106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021192402,0.00018689944,0.9043749,0.00013375432,0.00005715325,0.00035047292,0.048295967,0.0002076616,0.0047766725,0.00023214603,0.0011888904,0.039983634],"study_design_scores_gemma":[0.0000039491765,0.00006105918,0.9923483,0.000018737042,0.00001281013,0.00007878454,0.0056904573,0.00013047367,0.0006746641,0.000029313647,0.0009365114,0.000014872912],"about_ca_topic_score_codex":0.7519726,"about_ca_topic_score_gemma":0.8522092,"teacher_disagreement_score":0.24802738,"about_ca_system_score_codex":0.0054754955,"about_ca_system_score_gemma":0.005486607,"threshold_uncertainty_score":0.4989761},"labels":[],"label_agreement":null},{"id":"W2119111309","doi":"10.7202/603128ar","title":"Analyse de l’intelligibilité de textes prescriptifs","year":2009,"lang":"fr","type":"article","venue":"Revue québécoise de linguistique","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Collège de Valleyfield; Université du Québec à Montréal","funders":"","keywords":"Humanities; Philosophy; Psychology","score_opus":0.023703465618321592,"score_gpt":0.2973335498781101,"score_spread":0.2736300842597885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119111309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6923874,0.003435836,0.23610401,0.0013559484,0.000091257425,0.00020294517,0.0012148768,0.0010309601,0.06417674],"genre_scores_gemma":[0.9403726,0.0010797655,0.047556102,0.000088073735,0.000060238493,0.0001396234,0.00077578175,0.00034889492,0.009578932],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.996774,0.001255311,0.00020474776,0.00048254945,0.0011788355,0.00010448122],"domain_scores_gemma":[0.96797454,0.024103368,0.0012068287,0.0016450001,0.0048595956,0.0002106317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034100004,0.00058078294,0.0005630557,0.0027529607,0.000734387,0.0037688012,0.00046186533,0.00058668846,0.0072595705],"category_scores_gemma":[0.022082726,0.00025794934,0.00043727542,0.002171338,0.0018184364,0.0035214922,0.0008417921,0.0010172814,0.0013817884],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014627881,0.0001894792,0.023402456,0.0022039658,0.0002165981,0.001528771,0.07159092,0.009917038,0.15981016,0.06543738,0.0040666517,0.66017383],"study_design_scores_gemma":[0.0002484769,0.0012601507,0.23644246,0.001265452,0.00057278754,0.006180084,0.059696298,0.109288886,0.27770263,0.0944455,0.2124965,0.00040079982],"about_ca_topic_score_codex":0.0028873617,"about_ca_topic_score_gemma":0.0019955377,"teacher_disagreement_score":0.0072595705,"about_ca_system_score_codex":0.0011345883,"about_ca_system_score_gemma":0.00078896293,"threshold_uncertainty_score":0.024285734},"labels":[],"label_agreement":null},{"id":"W2124547832","doi":"10.1109/wse.2008.4655399","title":"Evolution of legal statements on the web","year":2008,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Viewpoints; Computer science; Readability; World Wide Web; The Internet; Data science; Web standards; Information retrieval","score_opus":0.03856406689603698,"score_gpt":0.2789877685045692,"score_spread":0.24042370160853221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124547832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9680181,0.00050647237,0.020368986,0.0004895273,0.000015693573,0.00009362133,0.00088442495,0.00021270422,0.009410392],"genre_scores_gemma":[0.9819817,0.00025660664,0.015573526,0.000034150096,0.000014053584,0.000035341523,0.0009278914,0.000054941254,0.0011217549],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99761707,0.00076915784,0.00017580333,0.00039434465,0.00089543354,0.00014827197],"domain_scores_gemma":[0.9751483,0.012835923,0.0048567574,0.0025307955,0.004161743,0.00046646775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021655012,0.00021264511,0.0002999264,0.0058799484,0.0009719515,0.0030031733,0.00058625586,0.0006341224,0.0015682179],"category_scores_gemma":[0.02577374,0.00026788632,0.00029735203,0.0066065746,0.0017081455,0.0054678763,0.00090457214,0.0007127058,0.00019981885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028171393,0.00033508864,0.5250159,0.00041961245,0.00019202412,0.0024129672,0.030895304,0.026696457,0.017181406,0.071535006,0.001917671,0.3231168],"study_design_scores_gemma":[0.000016415814,0.00022275388,0.83395505,0.0001684693,0.00012712339,0.0014160821,0.018518737,0.058680214,0.0123379845,0.04159992,0.032822367,0.00013496554],"about_ca_topic_score_codex":0.007593401,"about_ca_topic_score_gemma":0.006076128,"teacher_disagreement_score":0.007593401,"about_ca_system_score_codex":0.0014842177,"about_ca_system_score_gemma":0.0007313044,"threshold_uncertainty_score":0.015098393},"labels":[],"label_agreement":null},{"id":"W2128471136","doi":"10.5539/jel.v2n1p176","title":"Information and Communication Technology Profiles of College Students with Learning Disabilities and Adequate and Very Poor Readers","year":2013,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Cegep de Sainte Foy; Cégep du Vieux Montréal; Dawson College; Cégep André Laurendeau; Collège Montmorency; Quebec Rehabilitation Research Network; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Reading comprehension; Psychology; ICTS; Reading (process); Comprehension; Test (biology); Learning disability; Information and Communications Technology; Mathematics education; Pedagogy; Medical education; Developmental psychology; Computer science; Linguistics; Medicine","score_opus":0.010277469444146037,"score_gpt":0.25944813191283617,"score_spread":0.24917066246869013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128471136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995615,0.000031529682,0.000013192881,0.000020574342,8.678592e-7,0.00001005427,0.000062168016,8.659346e-7,0.0002993225],"genre_scores_gemma":[0.9994979,0.0000361367,0.00002885039,0.00002566188,0.0000021302246,0.000009729215,0.000085306696,6.319215e-7,0.00031356805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991763,0.00012290638,0.00010209501,0.00008402199,0.00020767322,0.0003069094],"domain_scores_gemma":[0.99556667,0.00079169555,0.0012276798,0.00013855766,0.0011064757,0.0011690067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061947666,0.00028592328,0.00030000764,0.0034255257,0.0011083015,0.0014055644,0.00030428648,0.00062235654,0.0032204357],"category_scores_gemma":[0.004992781,0.00023937809,0.0002126946,0.0016663673,0.0007299182,0.00079425116,0.0009825643,0.00047699717,0.00049911265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006011624,0.0001066062,0.98960423,0.0000143525685,0.000008202396,0.00011166407,0.005357055,0.000024838471,0.00029475507,0.000021517195,0.00011173864,0.0042848852],"study_design_scores_gemma":[0.0000040357895,0.00013044516,0.9867237,0.000009299075,0.000005427839,0.00015101484,0.012371807,0.00010840232,0.000111231,0.000021473763,0.00035451096,0.000008570092],"about_ca_topic_score_codex":0.15135847,"about_ca_topic_score_gemma":0.22953331,"teacher_disagreement_score":0.15135847,"about_ca_system_score_codex":0.0013834469,"about_ca_system_score_gemma":0.0010320093,"threshold_uncertainty_score":0.30095494},"labels":[],"label_agreement":null},{"id":"W2130005887","doi":"10.1037/a0028494","title":"Assessing the influence of letter position in reading normal and transposed texts using a letter detection task.","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reading (process); Task (project management); Position (finance); Computer science; Natural language processing; Psychology; Artificial intelligence; Speech recognition; Audiology; Linguistics; Cognitive psychology; Medicine; Philosophy; Engineering","score_opus":0.03707125158914994,"score_gpt":0.31677359471205835,"score_spread":0.2797023431229084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130005887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981432,0.00010742368,0.00090112124,0.000018405244,0.00001300002,0.000050735514,0.00004352454,0.000030317871,0.0006922868],"genre_scores_gemma":[0.9952722,0.00012874976,0.0032349525,0.00005165063,0.00001321683,0.00007312087,0.00017559563,0.000036212026,0.001014337],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99912816,0.00027455523,0.000094137635,0.000249073,0.00020804242,0.00004608196],"domain_scores_gemma":[0.98501265,0.011741544,0.0016019566,0.00064943935,0.00043645914,0.0005578629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010952876,0.00053358474,0.00036320626,0.00046200224,0.00015410234,0.0007439205,0.00035287652,0.00065667374,0.0019325955],"category_scores_gemma":[0.018779563,0.00031477207,0.00018661558,0.00020277456,0.0005644086,0.00088903704,0.0004560026,0.00047099387,0.00041900156],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008701287,0.0015442835,0.01843858,0.00036639447,0.00009416934,0.00037069112,0.0014458791,0.00030433884,0.9264868,0.0001150009,0.00014995485,0.041982625],"study_design_scores_gemma":[0.0006379582,0.01974321,0.74410105,0.00004447613,0.00024973782,0.0016105898,0.00082879374,0.0066874344,0.22392823,0.0009801093,0.0010830456,0.000105367355],"about_ca_topic_score_codex":0.001147599,"about_ca_topic_score_gemma":0.00145746,"teacher_disagreement_score":0.0019325955,"about_ca_system_score_codex":0.00023287059,"about_ca_system_score_gemma":0.00026515266,"threshold_uncertainty_score":0.006465137},"labels":[],"label_agreement":null},{"id":"W2162940749","doi":"10.64152/10125/44156","title":"Evaluating automatic detection of misspellings in German","year":2008,"lang":"en","type":"article","venue":"Language learning & technology","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Spell; Computer science; Edit distance; Natural language processing; German; Artificial intelligence; Competence (human resources); Linguistics; Psychology; Philosophy","score_opus":0.021049149289221834,"score_gpt":0.31336959753377525,"score_spread":0.2923204482445534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162940749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900095,0.00029761082,0.0061387625,0.000039605147,0.000025853806,0.00006421185,0.00056997564,0.0013620958,0.0014923824],"genre_scores_gemma":[0.9857098,0.0001380768,0.011166779,0.000028262013,0.00000558394,0.000021618913,0.0013743988,0.00009676809,0.0014586799],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99706763,0.0007844914,0.0004319151,0.00071917474,0.0008364449,0.00016032533],"domain_scores_gemma":[0.97818804,0.0135256415,0.0030578985,0.0012942748,0.003469924,0.00046422685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002317805,0.00064641243,0.0005860385,0.0023933768,0.0003875086,0.0012054909,0.0006518501,0.0006242915,0.001585929],"category_scores_gemma":[0.019987179,0.00022562836,0.00020937141,0.0012988682,0.00044104055,0.000970589,0.0007697128,0.00039129128,0.0010817394],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002409544,0.0002919427,0.18305133,0.0016478898,0.00024415195,0.0013537138,0.009892758,0.005376025,0.13934888,0.0009386699,0.0050702314,0.65037477],"study_design_scores_gemma":[0.00016943342,0.0025295948,0.60993075,0.0001574724,0.0002531045,0.0032710328,0.006942137,0.06761536,0.28945696,0.0006227555,0.018746985,0.00030436274],"about_ca_topic_score_codex":0.0060015074,"about_ca_topic_score_gemma":0.009983952,"teacher_disagreement_score":0.0060015074,"about_ca_system_score_codex":0.000651678,"about_ca_system_score_gemma":0.00080344593,"threshold_uncertainty_score":0.012257874},"labels":[],"label_agreement":null},{"id":"W2165544104","doi":"10.18806/tesl.v31i1.1168","title":"Students’ Source Misuse in Language Classrooms: Sharing Experiences","year":2014,"lang":"fr","type":"article","venue":"TESL Canada Journal","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pedagogy; Psychology; Documentation; Sociology; Humanities; Linguistics; Philosophy; Computer science","score_opus":0.020254791121554705,"score_gpt":0.27278346954462795,"score_spread":0.25252867842307325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165544104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792915,0.0009774704,0.003086418,0.0039187735,0.00013891298,0.00005921671,0.00006162316,0.00013958933,0.012326496],"genre_scores_gemma":[0.9905511,0.0005457708,0.00096909446,0.0005918735,0.000051395673,0.00005469142,0.000049602157,0.000136361,0.007050117],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.96764886,0.020014046,0.0011316644,0.0029634752,0.0053498093,0.002892158],"domain_scores_gemma":[0.96602607,0.0198863,0.0029885618,0.0024193146,0.002690742,0.0059890198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013525111,0.0011534134,0.001989507,0.0042149597,0.021841664,0.017253794,0.0046971235,0.0053079436,0.0070915115],"category_scores_gemma":[0.04605093,0.0011132668,0.0008167447,0.0031461783,0.019674152,0.014799417,0.025227018,0.0069562458,0.0015264511],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022041591,0.00008413511,0.0023938797,0.000055796267,0.0000076043266,0.0009005706,0.9874779,0.000029306098,0.0004724328,0.0011674506,0.00071737944,0.006671574],"study_design_scores_gemma":[0.000008905487,0.000089320725,0.001324664,0.00010927034,0.000011297558,0.0010155499,0.9684484,0.0001439627,0.0006867798,0.0011468914,0.026964104,0.00005076239],"about_ca_topic_score_codex":0.0060571516,"about_ca_topic_score_gemma":0.012250347,"teacher_disagreement_score":0.021841664,"about_ca_system_score_codex":0.005938161,"about_ca_system_score_gemma":0.0042996635,"threshold_uncertainty_score":0.071528494},"labels":[],"label_agreement":null},{"id":"W2166039043","doi":"10.1044/aac17.4.156","title":"Words We Would Want: Comparison of Three Pre-programmed Vocabulary Sets With Frequently Used Words in English","year":2008,"lang":"en","type":"article","venue":"Perspectives on Augmentative and Alternative Communication","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Glenrose Rehabilitation Hospital","funders":"","keywords":"Vocabulary; Computer science; Word (group theory); Gateway (web page); Set (abstract data type); English vocabulary; Natural language processing; Word lists by frequency; Artificial intelligence; Speech recognition; Linguistics; World Wide Web","score_opus":0.06367648814629527,"score_gpt":0.3369147263330553,"score_spread":0.27323823818676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166039043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973646,0.000055951503,0.00050512934,0.000013173605,0.0000041684975,0.00006722016,0.00019552826,0.000013757387,0.001780559],"genre_scores_gemma":[0.99757856,0.00004445138,0.0011194894,0.00001653983,0.000004545396,0.00019977108,0.00063028303,0.000019596444,0.00038678577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718374,0.00090010004,0.00073482346,0.00027668258,0.000778293,0.00012631202],"domain_scores_gemma":[0.96199566,0.02984829,0.003834384,0.0013796418,0.0022209021,0.000721144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024961699,0.00034941462,0.0003992184,0.0025939979,0.00050983153,0.0018999478,0.0007108766,0.0003536137,0.003095602],"category_scores_gemma":[0.03469123,0.00023138509,0.00032595967,0.0016519411,0.0011007556,0.002725724,0.0014009378,0.00047810332,0.00054401543],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006273649,0.0016546976,0.6649965,0.0017159727,0.00032363608,0.001023629,0.11300922,0.001772785,0.0258985,0.003110464,0.0019430576,0.17827778],"study_design_scores_gemma":[0.00013552219,0.0019019272,0.9271403,0.00020657081,0.00013066818,0.00083190814,0.05238854,0.00181852,0.009217759,0.0013671328,0.004747204,0.00011391214],"about_ca_topic_score_codex":0.003024552,"about_ca_topic_score_gemma":0.0033276458,"teacher_disagreement_score":0.003095602,"about_ca_system_score_codex":0.0008231932,"about_ca_system_score_gemma":0.00053967047,"threshold_uncertainty_score":0.013201177},"labels":[],"label_agreement":null},{"id":"W2169539950","doi":"10.1017/s1366728904001622","title":"Letter detection for homographs with different meanings in different language texts","year":2004,"lang":"en","type":"article","venue":"Bilingualism Language and Cognition","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Fluency; Computer science; Interpretation (philosophy); Context (archaeology); Linguistics; Affect (linguistics); Natural language processing; Psychology; Communication","score_opus":0.009127837991078538,"score_gpt":0.23619237328343595,"score_spread":0.22706453529235743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169539950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949757,0.00005302827,0.001877895,0.000025269692,0.0000075756825,0.000025457442,0.000037096783,0.00004551148,0.0029526097],"genre_scores_gemma":[0.9964055,0.000034962974,0.0024894683,0.00004498982,0.000005452953,0.000027932287,0.00008784253,0.000038602917,0.0008652652],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999046,0.00027159366,0.000095273084,0.00033217852,0.00017451539,0.00008042148],"domain_scores_gemma":[0.98438454,0.012360613,0.0012975652,0.001050335,0.0005629976,0.0003439396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00131909,0.00025375347,0.00040374184,0.0010677847,0.00031093613,0.0010203175,0.0003450076,0.0008619484,0.005898619],"category_scores_gemma":[0.011977226,0.00030035165,0.00026002622,0.00033118768,0.00073118735,0.0015867883,0.0010529441,0.0006207092,0.0007254937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002100469,0.0003549902,0.027455349,0.0003553128,0.000058943504,0.0002985797,0.0023577008,0.00023862605,0.9264109,0.0013039442,0.00016669207,0.03889844],"study_design_scores_gemma":[0.00015748364,0.0020677967,0.56304234,0.00005577242,0.00012595314,0.0021105378,0.0014974298,0.00920507,0.41538453,0.00488457,0.001376934,0.0000915574],"about_ca_topic_score_codex":0.00046942805,"about_ca_topic_score_gemma":0.0005700709,"teacher_disagreement_score":0.005898619,"about_ca_system_score_codex":0.00032718354,"about_ca_system_score_gemma":0.00017400445,"threshold_uncertainty_score":0.019732893},"labels":[],"label_agreement":null},{"id":"W2170030837","doi":"10.5539/elt.v5n8p57","title":"Announcement of Retraction","year":2012,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychology; Linguistics; Philosophy","score_opus":0.011556817445740332,"score_gpt":0.2638416912237179,"score_spread":0.2522848737779776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170030837","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003124893,0.0016409394,0.00046850735,0.09760655,0.8882561,0.00012960075,0.0004000342,0.00048337667,0.010702413],"genre_scores_gemma":[0.00789118,0.0053779334,0.0019800053,0.16145083,0.58594286,0.0006057115,0.0014647312,0.0011495054,0.23413724],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9867382,0.0025597624,0.002193254,0.0009088197,0.0064759925,0.0011238278],"domain_scores_gemma":[0.9258089,0.020581093,0.0050819474,0.005017087,0.037076116,0.0064348583],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.013490513,0.0020689454,0.001775476,0.0031232433,0.0031390362,0.0077992105,0.0030540442,0.013058187,0.11726895],"category_scores_gemma":[0.14708312,0.00073829695,0.0027301307,0.0015688788,0.0019588498,0.003733829,0.0032951587,0.014318518,0.086921126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003121195,0.000008575217,0.00003293028,0.00011859238,0.000007611168,0.00018213417,0.000025256928,0.0000095110745,0.00006885977,0.00050946855,0.9915724,0.0074334233],"study_design_scores_gemma":[0.000028979615,0.000036730955,0.0002663135,0.0003446775,0.00001331885,0.00037519794,0.0000869185,0.00006737082,0.00017404344,0.0008459427,0.9977429,0.000017583732],"about_ca_topic_score_codex":0.0009703998,"about_ca_topic_score_gemma":0.0011912148,"teacher_disagreement_score":0.9869418,"about_ca_system_score_codex":0.003017509,"about_ca_system_score_gemma":0.005662311,"threshold_uncertainty_score":0.3923037},"labels":[],"label_agreement":null},{"id":"W2252260887","doi":"","title":"Building Readability Lexicons with Unannotated Corpora","year":2012,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Readability; Computer science; Lexicon; Natural language processing; Annotation; Artificial intelligence; Word (group theory); Information retrieval; Resource (disambiguation); Simple (philosophy); Term (time); Linguistics","score_opus":0.02464466633386138,"score_gpt":0.2583301695586538,"score_spread":0.23368550322479242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252260887","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1350091,0.0010142637,0.73451203,0.00072661287,0.00041549126,0.0017095308,0.07056368,0.020331888,0.035717417],"genre_scores_gemma":[0.34489045,0.00059925165,0.5090697,0.00027625693,0.00023787441,0.0035597503,0.13189739,0.0026479464,0.006821433],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967313,0.0008432277,0.0005074182,0.001065802,0.0007306574,0.00012174738],"domain_scores_gemma":[0.9767091,0.013878286,0.0018877231,0.0027227239,0.0043500913,0.00045206776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021053245,0.0013667503,0.0012457756,0.011522457,0.0010605969,0.003040637,0.0018879207,0.0010770218,0.010089953],"category_scores_gemma":[0.031179994,0.00095909694,0.0013443071,0.0078052166,0.0009825793,0.006448323,0.0027898452,0.0018624106,0.00625854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005608991,0.000705705,0.035327602,0.003933414,0.00045651992,0.0015091724,0.0063362634,0.018634705,0.06177227,0.020442795,0.08272776,0.76759297],"study_design_scores_gemma":[0.00041985832,0.0006847423,0.11841585,0.0013826226,0.0008748229,0.0028884704,0.0065679834,0.42772126,0.06539912,0.076080605,0.29887265,0.00069202407],"about_ca_topic_score_codex":0.0050634467,"about_ca_topic_score_gemma":0.010554945,"teacher_disagreement_score":0.011522457,"about_ca_system_score_codex":0.0013568947,"about_ca_system_score_gemma":0.0017703351,"threshold_uncertainty_score":0.03375429},"labels":[],"label_agreement":null},{"id":"W2286878760","doi":"10.5539/ells.v6n1p81","title":"Syntactic Complexity of EFL Chinese Students’ Writing","year":2016,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Central University of Finance and Economics; Iowa State University","keywords":"Sentence; Computer science; Task (project management); Linguistics; Natural language processing","score_opus":0.016540811622468145,"score_gpt":0.3020156164261348,"score_spread":0.28547480480366666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286878760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993413,0.000017281553,0.000040810577,0.000010158206,8.38427e-7,0.0000038676776,0.000022902375,0.0000018547713,0.0005610342],"genre_scores_gemma":[0.9995913,0.000017920656,0.000058272835,0.0000036048634,0.0000023028874,0.0000061453684,0.00004501052,0.0000021772591,0.00027334588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913317,0.00014205012,0.00019687468,0.00012703246,0.0003113179,0.000089534115],"domain_scores_gemma":[0.9881372,0.0050659794,0.004008034,0.00044153316,0.0016596867,0.00068760646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095615495,0.00025926452,0.00024163515,0.0025287226,0.00044270288,0.0012891399,0.00023039972,0.00025390353,0.0022334335],"category_scores_gemma":[0.010171804,0.00014801873,0.00019437987,0.0012713289,0.00062957196,0.0006838803,0.000767469,0.00041574024,0.00021904697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025680623,0.00025678764,0.91158634,0.000099317425,0.0000648825,0.0010441866,0.037591353,0.00029597367,0.012380723,0.0003246558,0.00029129614,0.035807695],"study_design_scores_gemma":[0.0000054638413,0.000099104116,0.9950464,0.000009121731,0.000013680431,0.00023749027,0.0028075373,0.0004456025,0.000916132,0.00013981052,0.0002678124,0.0000117222],"about_ca_topic_score_codex":0.0031194314,"about_ca_topic_score_gemma":0.0033867673,"teacher_disagreement_score":0.0031194314,"about_ca_system_score_codex":0.0004837326,"about_ca_system_score_gemma":0.0005713127,"threshold_uncertainty_score":0.007471621},"labels":[],"label_agreement":null},{"id":"W2290020483","doi":"10.71781/19246","title":"Réorganisation neurofonctionnelle permettant le maintien des habiletés d’évocation lexicale lors du vieillissement","year":2013,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Humanities; Philosophy; Sociology","score_opus":0.04647746829042797,"score_gpt":0.28657836449146656,"score_spread":0.24010089620103858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290020483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94982743,0.0029822155,0.032345694,0.00046519397,0.00022939581,0.00018729402,0.0006345387,0.00036986556,0.012958355],"genre_scores_gemma":[0.96510404,0.0017113286,0.018749613,0.00018178098,0.000048170197,0.00033624194,0.00048790543,0.00015130627,0.013229643],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993412,0.000104686194,0.000059204587,0.00022977029,0.00016231983,0.000102742284],"domain_scores_gemma":[0.99801326,0.00063938135,0.0003699238,0.00034183072,0.00046533643,0.0001702892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013870535,0.00082962355,0.0005897827,0.00066423806,0.00047233547,0.0016858596,0.0005272369,0.000823733,0.009047694],"category_scores_gemma":[0.0045437925,0.00036271402,0.00050905027,0.00038901693,0.0008338756,0.0019833539,0.0011152262,0.00081678363,0.0015748559],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023464898,0.00038922366,0.08907434,0.0017022508,0.00038385898,0.0014718026,0.009782306,0.0021568926,0.5251735,0.0049989247,0.002479478,0.36004087],"study_design_scores_gemma":[0.00014393791,0.0033771908,0.800142,0.00053378183,0.00054510706,0.003027993,0.0070111663,0.0051410557,0.13350071,0.014189326,0.032198172,0.00018957997],"about_ca_topic_score_codex":0.003562274,"about_ca_topic_score_gemma":0.0066435956,"teacher_disagreement_score":0.009047694,"about_ca_system_score_codex":0.00057381595,"about_ca_system_score_gemma":0.0009585347,"threshold_uncertainty_score":0.030267537},"labels":[],"label_agreement":null},{"id":"W2291325286","doi":"10.7202/1041023ar","title":"Translation Methods and Experience: A Comparative Analysis of Human Translation and Post-editing with Students and Professional Translators","year":2017,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Keystroke logging; Computer science; Quality (philosophy); Translation (biology); Newspaper; Natural language processing; Machine translation; Eye tracking; Product (mathematics); Human–computer interaction; Artificial intelligence; Multimedia; Advertising","score_opus":0.14329833151877183,"score_gpt":0.4373159612485989,"score_spread":0.29401762972982703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291325286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98585874,0.0015826882,0.0038886205,0.00030080654,0.000058236645,0.0001455824,0.000061507926,0.00007510101,0.008028718],"genre_scores_gemma":[0.9910228,0.0010674222,0.0027855202,0.00020732223,0.000055081022,0.0001353005,0.00013034773,0.00011552246,0.0044807107],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9725084,0.019581292,0.0016079452,0.0014692048,0.003930334,0.0009028886],"domain_scores_gemma":[0.8626059,0.10695265,0.008201067,0.005557827,0.0138717955,0.0028108272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020147992,0.0005617448,0.0008599902,0.0031243048,0.0019356313,0.0044860737,0.0010401569,0.0012355708,0.004138826],"category_scores_gemma":[0.09973961,0.00039271545,0.0006370209,0.0027142742,0.0032144454,0.0028350279,0.0030014352,0.0010038596,0.0012833305],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006739642,0.00033177665,0.032612212,0.00093176804,0.00008025134,0.0008105805,0.84264225,0.00010261483,0.003631088,0.00041111314,0.0012568915,0.11651559],"study_design_scores_gemma":[0.00014870806,0.003599053,0.20501336,0.0013105699,0.00021590003,0.005989159,0.72097385,0.0013469427,0.008776279,0.0017548288,0.050594453,0.00027692755],"about_ca_topic_score_codex":0.00095921714,"about_ca_topic_score_gemma":0.0012870131,"teacher_disagreement_score":0.020147992,"about_ca_system_score_codex":0.0009083339,"about_ca_system_score_gemma":0.0014339036,"threshold_uncertainty_score":0.10655403},"labels":[],"label_agreement":null},{"id":"W2315912864","doi":"10.1016/s0735-1097(16)30804-x","title":"MULTI-FACETED KNOWLEDGE TRANSLATION TO IMPROVE CARE OF PATIENTS WITH ATRIAL FIBRILLATION: PRELIMINARY RESULTS FROM THE INTEGRATE/FACILITER PROJECTS","year":2016,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Atrial fibrillation; Translation (biology); Intensive care medicine; Knowledge translation; Internal medicine; Knowledge management; Computer science","score_opus":0.02291550618767262,"score_gpt":0.25737126248070774,"score_spread":0.2344557562930351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315912864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9495777,0.00059335574,0.028204087,0.0027020972,0.00017906749,0.0073753954,0.0020503001,0.0015637703,0.007754241],"genre_scores_gemma":[0.7434791,0.0010376729,0.23915766,0.0012249171,0.00011153385,0.0062837885,0.0035246992,0.00036867845,0.004812077],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98867303,0.007871254,0.00086453144,0.0008770646,0.0011905801,0.0005235513],"domain_scores_gemma":[0.92527187,0.059450194,0.0021884749,0.0046386872,0.0052242144,0.0032266416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019665848,0.000907787,0.001102878,0.0012974883,0.0016322341,0.0024775253,0.001710497,0.0013697102,0.006817417],"category_scores_gemma":[0.06708754,0.00038645483,0.0014143593,0.0011740045,0.00114052,0.0021960794,0.006032796,0.0021808676,0.0010599479],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038230943,0.02584325,0.014461738,0.0035179544,0.00042120286,0.00083637994,0.03786162,0.0046247886,0.005059486,0.0008580116,0.010088283,0.89260423],"study_design_scores_gemma":[0.036332447,0.09516926,0.29820976,0.009474017,0.009058959,0.0059338077,0.10738862,0.14048725,0.10570826,0.034626532,0.15523799,0.0023730793],"about_ca_topic_score_codex":0.0058989627,"about_ca_topic_score_gemma":0.008079295,"teacher_disagreement_score":0.019665848,"about_ca_system_score_codex":0.0015773741,"about_ca_system_score_gemma":0.009804635,"threshold_uncertainty_score":0.104004204},"labels":[],"label_agreement":null},{"id":"W2329263293","doi":"10.5539/ijel.v6n2p21","title":"The Comprehensibility of Readable English Texts and Their Back-Translations","year":2016,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Negeri Semarang","keywords":"Readability; Linguistics; Source text; Sentence; Indonesian; Reading (process); Relation (database); Meaning (existential); Reading comprehension; Computer science; Comprehension; Equivalence (formal languages); Psychology; Philosophy","score_opus":0.01822342450664839,"score_gpt":0.26253578429449664,"score_spread":0.24431235978784827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329263293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877843,0.00019647318,0.0028381182,0.000052051073,0.000011637027,0.00003317275,0.00025336636,0.000038980885,0.008791958],"genre_scores_gemma":[0.99728787,0.000080632446,0.0012948881,0.000009191051,0.000008451848,0.000028929047,0.00028750673,0.000022162953,0.0009803989],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979266,0.00082259165,0.00025375123,0.00030954042,0.00062553695,0.0000619571],"domain_scores_gemma":[0.9628208,0.026351854,0.0048607877,0.0020521563,0.0034765627,0.00043773337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027993144,0.0003595472,0.00027042886,0.0021053434,0.00020445095,0.0019222257,0.0002839256,0.0002249693,0.0033246912],"category_scores_gemma":[0.03836929,0.00012722972,0.00035175704,0.0010614849,0.0007267856,0.0018126302,0.00087153964,0.0005634696,0.0005014706],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027684995,0.00090256624,0.38021633,0.0017927008,0.0006486864,0.002263645,0.20097068,0.0026717787,0.10323764,0.009372754,0.0019097336,0.29324508],"study_design_scores_gemma":[0.000043470893,0.0014839194,0.92675936,0.00015818031,0.00016801938,0.0012758863,0.016854,0.00331855,0.037551004,0.0048882724,0.0073937206,0.00010552074],"about_ca_topic_score_codex":0.0004757543,"about_ca_topic_score_gemma":0.00047083205,"teacher_disagreement_score":0.0033246912,"about_ca_system_score_codex":0.00022593295,"about_ca_system_score_gemma":0.00016374925,"threshold_uncertainty_score":0.014804363},"labels":[],"label_agreement":null},{"id":"W2338913574","doi":"10.14288/1.0078320","title":"The effect of mode variation on syntactic complexity in adult E.S.L. composition writing","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Composition (language); Variation (astronomy); Mode (computer interface); Linguistics; Computer science; Philosophy; Human–computer interaction; Physics","score_opus":0.008591675061803864,"score_gpt":0.2010138906762786,"score_spread":0.19242221561447473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338913574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994172,0.000026712785,0.00019386198,0.000010924436,0.0000030360604,0.0000055613914,0.00001771443,0.000006344504,0.0003186413],"genre_scores_gemma":[0.99907243,0.000023661778,0.00053039176,0.00001248611,0.000005688111,0.000013423352,0.000039712955,0.0000072548346,0.00029483484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99765646,0.000878805,0.0002641914,0.00040288607,0.00069219444,0.00010555796],"domain_scores_gemma":[0.9766009,0.015669243,0.004723911,0.00095702725,0.0012372463,0.00081176235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019245186,0.00028030825,0.00024924512,0.0007153313,0.00038869146,0.0011804051,0.0002588202,0.0004109598,0.002806078],"category_scores_gemma":[0.022980737,0.0002785531,0.00024005095,0.00030492418,0.0005526809,0.00063226465,0.0008355252,0.00042874579,0.00042418245],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030180835,0.00057484,0.82084835,0.00015553374,0.0001369927,0.00080658996,0.012738408,0.0005584632,0.08953438,0.00020332313,0.00033394046,0.07109107],"study_design_scores_gemma":[0.000020911297,0.0010538001,0.99102825,0.00001157767,0.000026903695,0.0004805383,0.0017884002,0.00061462424,0.0044379784,0.00014988943,0.00036801535,0.000019157322],"about_ca_topic_score_codex":0.0005971114,"about_ca_topic_score_gemma":0.0012631617,"teacher_disagreement_score":0.002806078,"about_ca_system_score_codex":0.0002614397,"about_ca_system_score_gemma":0.00020837922,"threshold_uncertainty_score":0.01017791},"labels":[],"label_agreement":null},{"id":"W2422594387","doi":"10.5489/cuaj.3811","title":"CUA brochure readability: On the right track","year":2016,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Vernon Jubilee Hospital","funders":"","keywords":"Brochure; Readability; Track (disk drive); Computer science; Programming language; Linguistics; Operating system; Philosophy","score_opus":0.01390322376259373,"score_gpt":0.2051051085000915,"score_spread":0.19120188473749777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2422594387","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.076023415,0.031070402,0.057291504,0.31591615,0.038640175,0.0016365297,0.03947495,0.04961765,0.3903292],"genre_scores_gemma":[0.35615104,0.016708791,0.14552024,0.029067809,0.014160647,0.0012961522,0.042983413,0.03620141,0.35791054],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9926069,0.0014515421,0.0007650439,0.0007947297,0.0037098608,0.0006720878],"domain_scores_gemma":[0.89191806,0.016243752,0.0044660848,0.007448416,0.07217152,0.0077521033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007906439,0.00088357314,0.0013016826,0.0066854246,0.0028549633,0.010127763,0.002105027,0.0024336374,0.11479069],"category_scores_gemma":[0.08241272,0.0006339974,0.00060310494,0.0048621288,0.0016433704,0.011633963,0.0035147436,0.0034070995,0.038334236],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003532163,0.000103579834,0.0042805057,0.0003848491,0.000016679705,0.00007506452,0.0008112389,0.00007007059,0.0014492284,0.0022225475,0.6679377,0.32229537],"study_design_scores_gemma":[0.00018343686,0.00024089338,0.0386327,0.0015986082,0.00008227544,0.0005019519,0.00276634,0.001471543,0.0073778075,0.01092676,0.93597347,0.00024426793],"about_ca_topic_score_codex":0.054729052,"about_ca_topic_score_gemma":0.07261501,"teacher_disagreement_score":0.11479069,"about_ca_system_score_codex":0.0036701683,"about_ca_system_score_gemma":0.0063070594,"threshold_uncertainty_score":0.38401312},"labels":[],"label_agreement":null},{"id":"W2427123482","doi":"10.1037/xlm0000258","title":"Effects of morphology and semantic transparency on typing latencies in english compound and pseudocompound words.","year":2016,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Learning Memory and Cognition","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Morpheme; Transparency (behavior); Natural language processing; Computer science; Opacity; Linguistics; Artificial intelligence","score_opus":0.018493676804162185,"score_gpt":0.28391415519497915,"score_spread":0.26542047839081695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2427123482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972857,0.00011831397,0.0011390531,0.000027523924,0.000013344384,0.000025502364,0.00012005949,0.00003507388,0.0012354698],"genre_scores_gemma":[0.9980819,0.00007812508,0.001070129,0.000027422235,0.000009685847,0.000040142044,0.00015201059,0.00005112493,0.0004894861],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99847454,0.0004329071,0.00023283625,0.000299173,0.0004797595,0.00008071161],"domain_scores_gemma":[0.90164095,0.074757114,0.017827164,0.0024085832,0.0020318062,0.0013343082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018608945,0.00043359783,0.00023655314,0.00061201135,0.00016071677,0.0011120315,0.0003231816,0.0004660488,0.0034105158],"category_scores_gemma":[0.06603984,0.00036002073,0.00019043022,0.00040604765,0.00064523437,0.001530592,0.0006751865,0.0006132348,0.00047389543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01619062,0.0011651432,0.21687531,0.00072222756,0.0001940245,0.0016537551,0.009335442,0.0010389782,0.6570946,0.00068676425,0.00049368944,0.09454936],"study_design_scores_gemma":[0.00014797878,0.0024692877,0.9558942,0.000059836802,0.00010495598,0.001270042,0.0011505898,0.0019592694,0.035278223,0.0010668009,0.0005443656,0.0000544773],"about_ca_topic_score_codex":0.00065789785,"about_ca_topic_score_gemma":0.0008762201,"teacher_disagreement_score":0.0034105158,"about_ca_system_score_codex":0.0001898772,"about_ca_system_score_gemma":0.00023418135,"threshold_uncertainty_score":0.011409342},"labels":[],"label_agreement":null},{"id":"W2460540981","doi":"10.5430/ijba.v7n4p1","title":"Syntactic and Lexical Complexity of Reading Correlates with Complexity of Writing in Adults","year":2016,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Newspaper; Computer science; Sentence; Reading (process); Linguistics; Natural language processing; Lexical density; Artificial intelligence; Syntax; Lexical item; Sociology","score_opus":0.04449037570043224,"score_gpt":0.28920624745793644,"score_spread":0.2447158717575042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460540981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992939,0.00006157426,0.00006165136,0.000016950278,0.0000018287104,0.0000069464886,0.000067099194,0.0000053689055,0.0004846502],"genre_scores_gemma":[0.9991528,0.00006464704,0.00017344621,0.0000127172,0.000009122944,0.000009455308,0.00016823284,0.0000051669886,0.00040434895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992467,0.00009858631,0.00017770617,0.00016505549,0.00024187914,0.00007003696],"domain_scores_gemma":[0.9879974,0.0043073604,0.0055470797,0.00044601908,0.0009801978,0.00072190526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008350095,0.00037242763,0.000377637,0.0022826716,0.0004104477,0.0016288242,0.0002439668,0.000563548,0.0050012665],"category_scores_gemma":[0.0141671235,0.00033142013,0.00032518554,0.0007500995,0.00049674924,0.0015094315,0.0008204252,0.0005846805,0.001033623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001168652,0.00014581093,0.9858802,0.000026613874,0.000023843968,0.00023095636,0.0035621282,0.000042787993,0.0017065626,0.000037349724,0.00013968631,0.008087138],"study_design_scores_gemma":[0.000004297439,0.00012843391,0.9979234,0.0000065338104,0.000009465512,0.0004511624,0.000913552,0.00010289351,0.00025030787,0.00008143087,0.00012302627,0.000005479555],"about_ca_topic_score_codex":0.0013110859,"about_ca_topic_score_gemma":0.0023354813,"teacher_disagreement_score":0.0050012665,"about_ca_system_score_codex":0.00021503161,"about_ca_system_score_gemma":0.00018777039,"threshold_uncertainty_score":0.016730964},"labels":[],"label_agreement":null},{"id":"W2479635814","doi":"10.1017/cbo9781107447257.015","title":"Bilingual lexical accessduring written sentence comprehension","year":2015,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Linguistics; Sentence; Natural language processing; Comprehension; Computer science; Artificial intelligence; Psychology; Philosophy","score_opus":0.06808983027765364,"score_gpt":0.24511052368645772,"score_spread":0.17702069340880408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2479635814","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15167375,0.0061541684,0.056000315,0.0028013792,0.0008330529,0.00015393633,0.0023552214,0.0043129176,0.7757152],"genre_scores_gemma":[0.8721229,0.0023237038,0.0135823,0.0004996189,0.0003554882,0.0001288024,0.005280891,0.0012613295,0.10444497],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99926084,0.00026104102,0.000046325775,0.00014408276,0.00019636427,0.000091409354],"domain_scores_gemma":[0.99840707,0.0009296644,0.0000685314,0.00024879692,0.0002582166,0.00008764799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009163836,0.00063200045,0.0006793905,0.0005877127,0.0004294487,0.0023419613,0.0006055012,0.0007876817,0.06402184],"category_scores_gemma":[0.004185655,0.00040483775,0.0002549731,0.00085965754,0.0007942118,0.0047873543,0.0014296861,0.0013215024,0.013430662],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018173599,0.00043416003,0.002440871,0.0019251647,0.00004547908,0.0016511255,0.00825443,0.0010764324,0.110902436,0.12861596,0.08169626,0.6611403],"study_design_scores_gemma":[0.00045606578,0.0010616125,0.037879884,0.0009854009,0.0001495668,0.005528734,0.005262199,0.017542452,0.122374915,0.41759932,0.39090627,0.0002536174],"about_ca_topic_score_codex":0.001804201,"about_ca_topic_score_gemma":0.0034609803,"teacher_disagreement_score":0.06402184,"about_ca_system_score_codex":0.001089595,"about_ca_system_score_gemma":0.0009750289,"threshold_uncertainty_score":0.21417439},"labels":[],"label_agreement":null},{"id":"W2563219476","doi":"10.30466/ijltr.2015.20399","title":"Suggestions toward Some Discourse-analytic Approaches to Text Difficulty: With Special Reference to ‘T-unit Configuration’ in the Textual Unfolding","year":2015,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algonquin College","funders":"","keywords":"Readability; Computer science; Focus (optics); Linguistics; Cognition; Process (computing); Artificial intelligence; Natural language processing; Mathematics education; Psychology; Philosophy","score_opus":0.6070767752316734,"score_gpt":0.5257118819032537,"score_spread":0.08136489332841967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563219476","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010761224,0.015816737,0.49916628,0.4240214,0.0035445301,0.0017071995,0.000503402,0.0012123119,0.04326688],"genre_scores_gemma":[0.18480398,0.0153786745,0.7548191,0.019105682,0.004429665,0.0056493315,0.0007326852,0.0005611176,0.014519729],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.980768,0.014350415,0.0011493099,0.0015287686,0.0014648874,0.0007386732],"domain_scores_gemma":[0.94067866,0.03794758,0.004563454,0.0031856007,0.010034885,0.0035898776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.045625485,0.004240461,0.0026776511,0.01814977,0.006815064,0.020131385,0.012924585,0.009900013,0.014560723],"category_scores_gemma":[0.048931953,0.0017433496,0.0033077362,0.009915092,0.05281226,0.0411655,0.009822539,0.015350718,0.0036345099],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017818893,0.0002300572,0.0016262061,0.0017216059,0.00006077995,0.0008784167,0.044020057,0.0016853663,0.0006393526,0.88959783,0.018248547,0.041113567],"study_design_scores_gemma":[0.00007483808,0.00007039276,0.001208012,0.0012502226,0.00002629886,0.00032323683,0.047757145,0.00435082,0.00041276513,0.88648623,0.05790256,0.00013741889],"about_ca_topic_score_codex":0.008739896,"about_ca_topic_score_gemma":0.010618969,"teacher_disagreement_score":0.045625485,"about_ca_system_score_codex":0.011385944,"about_ca_system_score_gemma":0.011702034,"threshold_uncertainty_score":0.24129355},"labels":[],"label_agreement":null},{"id":"W2563306247","doi":"10.18653/v1/w16-3620","title":"On the Contribution of Discourse Structure on Text Complexity Assessment","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Treebank; Cohesion (chemistry); Coherence (philosophical gambling strategy); Computer science; Natural language processing; Artificial intelligence; Feature (linguistics); Linguistics; Feature selection; Mathematics; Parsing; Statistics; Physics","score_opus":0.039335622359669004,"score_gpt":0.3296522695321306,"score_spread":0.29031664717246164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563306247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9279972,0.0031170838,0.057317633,0.0006929815,0.00009752324,0.00015764307,0.0005058091,0.00035962145,0.009754423],"genre_scores_gemma":[0.9845762,0.00037589628,0.013842413,0.00004404388,0.000105172825,0.000037781494,0.0004683998,0.00016909915,0.00038095037],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9827256,0.008978504,0.0010166935,0.0021390163,0.0047280085,0.00041200093],"domain_scores_gemma":[0.53854024,0.42927596,0.0128420135,0.0072711557,0.01012697,0.0019436986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013744136,0.0010207264,0.0009463888,0.0060205506,0.0011205721,0.004875186,0.0005695552,0.0007500426,0.0018818635],"category_scores_gemma":[0.19761075,0.00039985048,0.00079086015,0.0028723616,0.0021865729,0.0051480588,0.002632932,0.0017366746,0.0005163279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028582555,0.0003980245,0.34041157,0.0019508188,0.0011926123,0.0007396208,0.012414672,0.041597795,0.06456397,0.00669912,0.0017317466,0.5254418],"study_design_scores_gemma":[0.00015930577,0.0021891943,0.6964734,0.0005204014,0.0015834525,0.0011572706,0.004115664,0.15198237,0.091923915,0.04038017,0.008904067,0.00061079673],"about_ca_topic_score_codex":0.0015186801,"about_ca_topic_score_gemma":0.002031687,"teacher_disagreement_score":0.013744136,"about_ca_system_score_codex":0.0007328277,"about_ca_system_score_gemma":0.0007364647,"threshold_uncertainty_score":0.07268679},"labels":[],"label_agreement":null},{"id":"W2563494058","doi":"10.5539/ies.v10n1p47","title":"Comparison of Oral Reading Errors between Contextual Sentences and Random Words among Schoolchildren","year":2016,"lang":"en","type":"article","venue":"International Education Studies","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reading (process); Sentence; Set (abstract data type); Psychology; Mathematics; Linguistics; Computer science; Natural language processing","score_opus":0.08323997651935867,"score_gpt":0.40935662184939736,"score_spread":0.3261166453300387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563494058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99971646,0.000057441073,0.00005782025,0.0000040551804,0.0000014675494,0.0000027742392,0.000028921253,0.0000055428745,0.00012543892],"genre_scores_gemma":[0.9992828,0.000088870656,0.0001592779,0.000009090092,0.0000033012147,0.000011469725,0.00015110474,0.0000070396436,0.00028699046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988404,0.000214249,0.00017027422,0.00024763463,0.00040823684,0.00011916761],"domain_scores_gemma":[0.9960795,0.0016233943,0.001374366,0.00023886908,0.0004871967,0.00019675329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006465233,0.0005861522,0.00044054346,0.0012400416,0.00021303396,0.00050500437,0.00029073487,0.00043435505,0.0016271654],"category_scores_gemma":[0.0053906664,0.00031007084,0.00035629695,0.00036183608,0.00064627256,0.00055636506,0.0005528345,0.00027649722,0.0004030867],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007582376,0.0002490153,0.95242417,0.0002219431,0.00016141548,0.0013739432,0.006871282,0.00020407455,0.012918109,0.000055022174,0.00026596166,0.024496866],"study_design_scores_gemma":[0.000009976298,0.0007807088,0.9927428,0.000021285834,0.0000623853,0.0013088984,0.0023567327,0.00011448561,0.0022327008,0.000026556594,0.00033151463,0.0000120409095],"about_ca_topic_score_codex":0.0015997528,"about_ca_topic_score_gemma":0.002241955,"teacher_disagreement_score":0.0016271654,"about_ca_system_score_codex":0.00015813828,"about_ca_system_score_gemma":0.000138042,"threshold_uncertainty_score":0.005443454},"labels":[],"label_agreement":null},{"id":"W2586150748","doi":"10.5539/elt.v10n3p95","title":"On Improving Text Readability by Creating a Personal Writing Style","year":2017,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Writing style; Psychology; Affect (linguistics); Style (visual arts); Mathematics education; Computer science; Linguistics; Communication; Literature","score_opus":0.00898343470308837,"score_gpt":0.2624338728074199,"score_spread":0.25345043810433154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586150748","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7412899,0.0031442426,0.19578621,0.0020334986,0.0003310632,0.0006999224,0.00021142811,0.0017263938,0.05477747],"genre_scores_gemma":[0.8407594,0.0022110858,0.14601594,0.00032274192,0.00020687559,0.00027659023,0.00031213945,0.0003198502,0.009575422],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99824667,0.00067347364,0.0001546011,0.00025301162,0.00059606915,0.000076156684],"domain_scores_gemma":[0.9886474,0.0061042476,0.0017420416,0.0011174096,0.0019825965,0.00040632935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023106006,0.0005109675,0.0003620131,0.0014776342,0.0006410134,0.0020315864,0.000601356,0.00039319418,0.0026665272],"category_scores_gemma":[0.01472137,0.00013280263,0.00045730633,0.0010616224,0.000667847,0.003312089,0.0012358463,0.00067371875,0.00081598933],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020069342,0.00063932664,0.026462065,0.0012586957,0.00008047923,0.00049899425,0.010334753,0.0025976452,0.07799776,0.008610237,0.00429894,0.8670205],"study_design_scores_gemma":[0.000428936,0.0053058593,0.3719929,0.0015159013,0.0013349114,0.0049366467,0.015297685,0.056535333,0.2701848,0.06094309,0.21102904,0.0004949783],"about_ca_topic_score_codex":0.00039066735,"about_ca_topic_score_gemma":0.0006203307,"teacher_disagreement_score":0.0026665272,"about_ca_system_score_codex":0.00043554668,"about_ca_system_score_gemma":0.00062217563,"threshold_uncertainty_score":0.012219787},"labels":[],"label_agreement":null},{"id":"W2588260181","doi":"10.29173/cais733","title":"Development of an Integrated Bilingual Thesaurus in Gerontology and Geriatrics","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Centre des Aînés Côte-des-Neiges; McGill University","funders":"","keywords":"Geriatrics; Thesaurus; Gerontology; Medicine; Psychology; Linguistics; Philosophy; Psychiatry","score_opus":0.03102252310985177,"score_gpt":0.2569396952453352,"score_spread":0.22591717213548346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588260181","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10216319,0.005916589,0.8055399,0.0047290754,0.0010385219,0.0075246966,0.012285926,0.010476564,0.050325572],"genre_scores_gemma":[0.06801147,0.0014130845,0.90908086,0.000448685,0.0000769247,0.0017103705,0.010367755,0.0015578411,0.007333059],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9957165,0.0017565308,0.0012261234,0.0005099186,0.0006891869,0.000101761565],"domain_scores_gemma":[0.9908366,0.0034906408,0.00045183557,0.0009543154,0.0038127266,0.00045390846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008659993,0.00078898657,0.0012222397,0.009430836,0.0016756017,0.0033460988,0.0015975,0.0013251102,0.01144298],"category_scores_gemma":[0.017822076,0.0008721415,0.0010810152,0.0056780544,0.000894475,0.0052043316,0.004902406,0.001330431,0.004791205],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037134287,0.0005126516,0.0044614472,0.0035270927,0.00014840128,0.0010467751,0.012158883,0.0025628207,0.025641872,0.015390127,0.034211308,0.8999673],"study_design_scores_gemma":[0.0005273801,0.0007269163,0.016563205,0.0063770744,0.0007671608,0.003677162,0.011203733,0.032876696,0.03855762,0.022104643,0.86628693,0.00033149216],"about_ca_topic_score_codex":0.01062199,"about_ca_topic_score_gemma":0.020310795,"teacher_disagreement_score":0.01144298,"about_ca_system_score_codex":0.0020067645,"about_ca_system_score_gemma":0.012123738,"threshold_uncertainty_score":0.045798957},"labels":[],"label_agreement":null},{"id":"W2596405055","doi":"10.1037/pag0000151","title":"The effects of word frequency and word predictability during first- and second-language paragraph reading in bilingual older and younger adults.","year":2017,"lang":"en","type":"article","venue":"Psychology and Aging","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Centre for Research on Brain Language and Music","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Centre for Research on Brain, Language and Music","keywords":"Psychology; Word lists by frequency; Reading (process); Word recognition; Word processing; Word (group theory); Predictability; Linguistics; PsycINFO; Audiology; Sentence; Medicine","score_opus":0.006247044410424345,"score_gpt":0.2715102706400481,"score_spread":0.2652632262296238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596405055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992811,0.0001031328,0.00007541925,0.000009386448,0.0000022214692,0.000006725648,0.00009568244,0.0000054293055,0.00042086886],"genre_scores_gemma":[0.9992048,0.00007609787,0.00023379429,0.00002288065,0.0000067038495,0.000012487134,0.00011049286,0.0000049407804,0.0003279692],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998429,0.000022399001,0.000019616084,0.00004922278,0.000046510973,0.000019270037],"domain_scores_gemma":[0.9979488,0.00082562043,0.00076205557,0.00008573386,0.00018775083,0.00019003736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029465443,0.00023206136,0.00019399032,0.0003630927,0.00013273617,0.00035672518,0.00009063673,0.00028105083,0.0012890225],"category_scores_gemma":[0.003579003,0.00015712688,0.00013034366,0.00015492075,0.00019988992,0.0003460802,0.00027726358,0.00020265105,0.0002038411],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006479926,0.0005138468,0.52654713,0.0003816379,0.00020029538,0.00063165545,0.0075756563,0.00016710552,0.4069487,0.00012737658,0.0005135494,0.04991315],"study_design_scores_gemma":[0.000012732474,0.00038274875,0.9973199,0.000002817866,0.00001527661,0.00010395892,0.0001723707,0.00006401023,0.0018153901,0.000028238046,0.00007890577,0.0000036944193],"about_ca_topic_score_codex":0.0025658158,"about_ca_topic_score_gemma":0.0065621384,"teacher_disagreement_score":0.0025658158,"about_ca_system_score_codex":0.00015272305,"about_ca_system_score_gemma":0.00014421144,"threshold_uncertainty_score":0.0051017404},"labels":[],"label_agreement":null},{"id":"W2610650708","doi":"10.18806/tesl.v34i1.1257","title":"Steps for Creating a Specialized Corpus and Developing an Annotated Frequency-Based Vocabulary List","year":2017,"lang":"en","type":"article","venue":"TESL Canada Journal","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocabulary; Corpus linguistics; Linguistics; Computer science; Humanities; Library science; Psychology; Artificial intelligence; Art; Philosophy","score_opus":0.03666660018396091,"score_gpt":0.28213121172488864,"score_spread":0.24546461154092775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610650708","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021378445,0.0006755606,0.9054035,0.0024451767,0.0010397756,0.011204372,0.010247199,0.008075496,0.039530423],"genre_scores_gemma":[0.013034721,0.0002720048,0.9562147,0.00031045295,0.000115034454,0.008546524,0.009269899,0.0022630685,0.009973611],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99355537,0.0024806093,0.0012843282,0.0009553104,0.0014960724,0.00022823182],"domain_scores_gemma":[0.9740114,0.01265802,0.001026023,0.0032628994,0.008279415,0.0007621657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00996212,0.0014537036,0.00095264585,0.008682296,0.003506038,0.0047169877,0.0019123537,0.0014284328,0.037068516],"category_scores_gemma":[0.030654984,0.0017583184,0.0011122127,0.0046844827,0.001968598,0.008360063,0.006430512,0.0040686806,0.015419997],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003115445,0.00037662318,0.0049266946,0.004178519,0.00006358827,0.0022970613,0.055134494,0.003133746,0.06803167,0.102534436,0.13059342,0.6284182],"study_design_scores_gemma":[0.00007663053,0.00018264912,0.004717027,0.0013931602,0.00004974935,0.001295324,0.012432708,0.0076403744,0.016759835,0.026111024,0.92912936,0.00021219476],"about_ca_topic_score_codex":0.0038335468,"about_ca_topic_score_gemma":0.0070097107,"teacher_disagreement_score":0.037068516,"about_ca_system_score_codex":0.0019488957,"about_ca_system_score_gemma":0.00498616,"threshold_uncertainty_score":0.12400657},"labels":[],"label_agreement":null},{"id":"W2674585767","doi":"10.6033/tokkyou.52.75","title":"Discourse-Pragmatics in Children With Autism Spectrum Disorders: Argument Omission and Lexicalization","year":2014,"lang":"en","type":"article","venue":"The Japanese Journal of Special Education","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Lexicalization; Pragmatics; Argument (complex analysis); Autism; Linguistics; Psychology; Cognitive psychology; Philosophy; Developmental psychology; Medicine","score_opus":0.005833707176588233,"score_gpt":0.24848910629447044,"score_spread":0.2426553991178822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2674585767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958742,0.00032799423,0.00021520378,0.00024844185,0.000019835552,0.000015239428,0.00011331351,0.000020191332,0.0031655845],"genre_scores_gemma":[0.99825877,0.00017789876,0.0005525343,0.000051127947,0.000007812242,0.000050272673,0.00014158431,0.000024273513,0.0007356736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964838,0.0007201135,0.0006272585,0.0007289627,0.0011054494,0.0003343806],"domain_scores_gemma":[0.97958744,0.010296652,0.0065984884,0.0008373913,0.0018412186,0.0008387292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024448761,0.0012904826,0.0012564224,0.0034479534,0.0018647539,0.0044194483,0.00086740684,0.001770974,0.0035915847],"category_scores_gemma":[0.029990697,0.0012724736,0.00091352727,0.0017390911,0.0029947306,0.0033644838,0.0026920815,0.002508615,0.0005423493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041751206,0.00067669863,0.8050363,0.00049622555,0.0001700722,0.011411305,0.12342799,0.00059046235,0.018341199,0.0035978856,0.0012583502,0.034575984],"study_design_scores_gemma":[0.00008442435,0.00027972,0.8962055,0.00024002253,0.00025466536,0.01951163,0.0703696,0.0012014412,0.0036140333,0.005613431,0.002516769,0.000108847205],"about_ca_topic_score_codex":0.014671607,"about_ca_topic_score_gemma":0.010979651,"teacher_disagreement_score":0.014671607,"about_ca_system_score_codex":0.0015306708,"about_ca_system_score_gemma":0.0022652692,"threshold_uncertainty_score":0.02917242},"labels":[],"label_agreement":null},{"id":"W2734121241","doi":"10.1093/geroni/igx004.3494","title":"ADD A LANGUAGE! ADD A PICTURE!—IMPROVING PRESCRIPTION MEDICATION LABELS FOR ELDERLY SINGAPOREANS","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Pictogram; Medical prescription; Literacy; Medicine; Health literacy; Malay; Reading (process); Family medicine; Psychology; Medical education; Linguistics; Nursing; Health care; Political science; Pedagogy","score_opus":0.03165806490031054,"score_gpt":0.3106842302414928,"score_spread":0.27902616534118224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734121241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99499017,0.0005209205,0.00016252162,0.001495507,0.000063214895,0.00018065632,0.00019790606,0.000038239014,0.0023508216],"genre_scores_gemma":[0.9901994,0.0018914565,0.0028145516,0.0017277057,0.00007498848,0.000414679,0.0002551446,0.000008064697,0.002613969],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993629,0.00029504235,0.00009279928,0.000054655007,0.00010532929,0.00008929638],"domain_scores_gemma":[0.9988206,0.00021811313,0.00028845624,0.000068829046,0.00014325505,0.000460714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013422116,0.00037239285,0.0005102917,0.0002773093,0.00061168213,0.0006434841,0.00038757734,0.00079484854,0.005808918],"category_scores_gemma":[0.003360575,0.00016567206,0.00081337395,0.00019359248,0.0002799354,0.0011132365,0.0011348228,0.0007953653,0.0011418354],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.020055138,0.02957181,0.13661438,0.0059240656,0.0006423454,0.0010877849,0.015752675,0.00055706484,0.0148319835,0.0007315276,0.021043837,0.7531875],"study_design_scores_gemma":[0.008342449,0.106266886,0.7753525,0.0032277969,0.0017161944,0.0007600533,0.018523114,0.0035815123,0.011433946,0.0016002482,0.06889447,0.00030100308],"about_ca_topic_score_codex":0.0050572455,"about_ca_topic_score_gemma":0.0091855,"teacher_disagreement_score":0.005808918,"about_ca_system_score_codex":0.00040435157,"about_ca_system_score_gemma":0.000984747,"threshold_uncertainty_score":0.019432783},"labels":[],"label_agreement":null},{"id":"W2738478726","doi":"10.5430/ijhe.v6n4p54","title":"Error Analysis of Students Essays: A Case of First Year Students of the University of Health and Allied Sciences","year":2017,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Academic writing; Communicative competence; Literacy; Mathematics education; Argument (complex analysis); Competence (human resources); Scripting language; Psychology; Error analysis; Pedagogy; First language; Linguistics; Sociology; Computer science; Medicine","score_opus":0.041035925270454,"score_gpt":0.3862038974468522,"score_spread":0.34516797217639816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738478726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99294794,0.0005204535,0.0024921873,0.0013011209,0.000060418733,0.000048480357,0.00010461028,0.000067875364,0.002456967],"genre_scores_gemma":[0.99052835,0.00048182567,0.0050626798,0.00027397028,0.00007286581,0.00003747414,0.00013835682,0.00008103838,0.0033234416],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9892675,0.0039337133,0.001282154,0.0011752665,0.0037673877,0.000573906],"domain_scores_gemma":[0.92645353,0.045540847,0.01451288,0.00302887,0.008788583,0.0016752873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044717262,0.00065799407,0.00044911035,0.0049663438,0.0037185524,0.0030730315,0.0016984765,0.0028512082,0.0009739659],"category_scores_gemma":[0.05283695,0.00042659242,0.00045865093,0.003060216,0.0029606984,0.0019143651,0.0021194618,0.0018574242,0.00047149064],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002955105,0.0003096616,0.1797108,0.0005868597,0.00009326488,0.10328048,0.6207854,0.0008905608,0.009444385,0.0026739002,0.0038528603,0.078076385],"study_design_scores_gemma":[0.000028973278,0.0005332403,0.32409248,0.0012557468,0.00017629098,0.1225215,0.44143358,0.008346764,0.019990807,0.004195258,0.07712963,0.0002957929],"about_ca_topic_score_codex":0.005679777,"about_ca_topic_score_gemma":0.010043177,"teacher_disagreement_score":0.005679777,"about_ca_system_score_codex":0.00208374,"about_ca_system_score_gemma":0.0012858913,"threshold_uncertainty_score":0.023648977},"labels":[],"label_agreement":null},{"id":"W2753133191","doi":"10.37514/jwa-j.2017.1.1.08","title":"Discovering the Predictive Power of Five Baseline Writing Competences","year":2017,"lang":"en","type":"article","venue":"The Journal of Writing Analytics","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Baseline (sea); Benchmark (surveying); Computer science; Credibility; Consistency (knowledge bases); Constructive; State (computer science); Artificial intelligence; Data science; Machine learning; Programming language","score_opus":0.02459756427332719,"score_gpt":0.28483828905968006,"score_spread":0.26024072478635285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753133191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9708571,0.0021248187,0.014459871,0.00044750908,0.00013838167,0.00011290462,0.004647925,0.00056873617,0.0066427193],"genre_scores_gemma":[0.99240327,0.00019313107,0.0030206922,0.00002453242,0.000046665216,0.00005905701,0.0037652683,0.000031486197,0.00045591415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99626726,0.0010730725,0.00033430316,0.0012515673,0.0008921959,0.00018168347],"domain_scores_gemma":[0.9365733,0.04658729,0.0046367026,0.0037267809,0.0066180374,0.0018578278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007583483,0.0010237591,0.00067783863,0.005290977,0.00057664997,0.0030915975,0.0007699314,0.00096199755,0.0032488373],"category_scores_gemma":[0.05633528,0.00020683423,0.00073746225,0.0026452546,0.00072518125,0.0019468701,0.001538588,0.001837347,0.0020055778],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043481353,0.00025515314,0.8695667,0.00040064388,0.0004234747,0.00014548255,0.00058744376,0.00606304,0.0016063143,0.00061776774,0.0046527837,0.11524641],"study_design_scores_gemma":[0.00007744453,0.00061752554,0.83155465,0.00032178022,0.0003525961,0.0003282626,0.0008693569,0.15077752,0.0045067403,0.00432456,0.006181357,0.00008807433],"about_ca_topic_score_codex":0.003992356,"about_ca_topic_score_gemma":0.0035801989,"teacher_disagreement_score":0.007583483,"about_ca_system_score_codex":0.00063547125,"about_ca_system_score_gemma":0.0007324161,"threshold_uncertainty_score":0.04010576},"labels":[],"label_agreement":null},{"id":"W2759448304","doi":"10.5539/elt.v10n10p159","title":"Detection of Common Errors in Turkish EFL Students’ Writing through a Corpus Analytic Approach","year":2017,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Turkish; Linguistics; Verb; Error analysis; Context (archaeology); Psychology; Noun; Academic writing; Grammar; Natural language processing; Computer science; Mathematics education; History","score_opus":0.02029820752825017,"score_gpt":0.3065248043780481,"score_spread":0.2862265968497979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759448304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98390293,0.00090077496,0.010681239,0.00013259014,0.000044281536,0.0006240914,0.0010887451,0.000110552384,0.0025146639],"genre_scores_gemma":[0.9444998,0.0006837552,0.04780591,0.000060908944,0.000060463368,0.0018515124,0.0034249066,0.000070107504,0.0015426226],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99332595,0.0023529483,0.0013649154,0.001200391,0.0015200869,0.00023569143],"domain_scores_gemma":[0.97173595,0.015734354,0.0042443615,0.002061962,0.0057596066,0.00046378796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003569149,0.00055798085,0.0006505905,0.015870553,0.0018868607,0.0017338572,0.0009102833,0.00071737554,0.0013028503],"category_scores_gemma":[0.020515712,0.00024850504,0.00028433083,0.007921796,0.001381958,0.0014208346,0.0024250192,0.0005513103,0.000315938],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072441704,0.0012956053,0.24816498,0.0044887364,0.00016612516,0.0065729315,0.15893786,0.0018581544,0.046352927,0.004730514,0.006767772,0.51993996],"study_design_scores_gemma":[0.00016073295,0.0008993544,0.67291254,0.0014516505,0.0004070957,0.009972914,0.14186713,0.02193754,0.054071043,0.0045040487,0.091502145,0.00031372145],"about_ca_topic_score_codex":0.0016217922,"about_ca_topic_score_gemma":0.0033980636,"teacher_disagreement_score":0.015870553,"about_ca_system_score_codex":0.0008626661,"about_ca_system_score_gemma":0.0013917026,"threshold_uncertainty_score":0.018875718},"labels":[],"label_agreement":null},{"id":"W2767393219","doi":"","title":"Using Coh-Metrix to Access Cohesion and Difficulty in High-School Textbooks","year":2006,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cohesion (chemistry); Comprehension; Linguistics; Argument (complex analysis); Memphis; Computer science; Psychology; Philosophy; Chemistry","score_opus":0.025010056484805532,"score_gpt":0.25094336069461987,"score_spread":0.22593330420981433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767393219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98751813,0.00013446661,0.0024728759,0.000058567955,0.000025905116,0.00088879967,0.0016553364,0.00025085112,0.006995049],"genre_scores_gemma":[0.97399366,0.0001393038,0.01456344,0.000054099444,0.00004032833,0.0026327523,0.0026197636,0.00011684088,0.0058398745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979925,0.0004813636,0.0004738348,0.0003262292,0.0005784566,0.00014766483],"domain_scores_gemma":[0.98418474,0.007675612,0.0038318832,0.00076181756,0.00253834,0.0010076549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023937752,0.00065616803,0.00071176974,0.006665353,0.00054644205,0.0016239029,0.0008201267,0.0006031196,0.012721343],"category_scores_gemma":[0.018914113,0.0003154348,0.0006931931,0.0032264167,0.0003875402,0.001597224,0.0022369938,0.00087111664,0.0015173639],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009338766,0.00096151576,0.83274704,0.0006342528,0.00024315446,0.00023521284,0.009598048,0.0009080055,0.0044967495,0.0007671785,0.0074934177,0.14098161],"study_design_scores_gemma":[0.000060015733,0.00063745497,0.98686117,0.000058491773,0.000040722654,0.0002507753,0.0031244277,0.0022967786,0.0025392252,0.00042864055,0.0036418051,0.00006052314],"about_ca_topic_score_codex":0.0026021146,"about_ca_topic_score_gemma":0.005461657,"teacher_disagreement_score":0.012721343,"about_ca_system_score_codex":0.0007411145,"about_ca_system_score_gemma":0.0005949952,"threshold_uncertainty_score":0.04255706},"labels":[],"label_agreement":null},{"id":"W2781187670","doi":"","title":"Variations in Textualization: A Cross-generic and Cross-disciplinary Study, Implications for Readability of the Academic Discourse","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algonquin College","funders":"","keywords":"Readability; Cross disciplinary; Discipline; Linguistics; Genre analysis; Literature; Sociology; Computer science; Art; Philosophy; Social science; Data science","score_opus":0.34009982350384155,"score_gpt":0.6156297992036794,"score_spread":0.2755299756998379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781187670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925276,0.0006372486,0.0018104466,0.00014227525,0.0000129552045,0.000051235063,0.0000790238,0.000009281007,0.0047300286],"genre_scores_gemma":[0.998892,0.000132805,0.00058734504,0.000032742515,0.00001161334,0.0000372439,0.00005549383,0.000012877201,0.00023774854],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.98339397,0.010013819,0.0016196338,0.002098366,0.0024194382,0.00045483376],"domain_scores_gemma":[0.890173,0.08482872,0.010628877,0.0070008077,0.006219756,0.0011488699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013285667,0.00024004342,0.00043302574,0.0037887604,0.0011856948,0.0042338404,0.0005906491,0.0006720466,0.0020501034],"category_scores_gemma":[0.06962596,0.00021917294,0.00039600304,0.0045360303,0.0037439438,0.003453727,0.0038294753,0.00068714423,0.00022961374],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004945487,0.00030779574,0.4519868,0.0009248713,0.0003735544,0.00066476397,0.45445254,0.00031428473,0.011795045,0.006000744,0.0003773352,0.07230771],"study_design_scores_gemma":[0.000014316215,0.00036204312,0.85868967,0.00021793062,0.00009324649,0.0006521731,0.13064745,0.00048805043,0.0022677793,0.002549102,0.0039725304,0.000045693636],"about_ca_topic_score_codex":0.0011021391,"about_ca_topic_score_gemma":0.0013023037,"teacher_disagreement_score":0.013285667,"about_ca_system_score_codex":0.00088808755,"about_ca_system_score_gemma":0.00049705664,"threshold_uncertainty_score":0.070262134},"labels":[],"label_agreement":null},{"id":"W2789586388","doi":"10.5539/elt.v11n4p1","title":"Critical Reading Skills and Translation Ability of Thai EFL Students: Pragmatic, Syntactic, and Semantic Aspects","year":2018,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychology; Reading (process); Critical reading; Linguistics; Mathematics education; Error analysis","score_opus":0.007723869247560229,"score_gpt":0.2972760731860103,"score_spread":0.28955220393845005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789586388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99921334,0.00003151621,0.00008355899,0.000020668476,0.0000017125369,0.0000060173143,0.000012917312,0.0000022368924,0.0006281264],"genre_scores_gemma":[0.9993444,0.00003283657,0.00008960789,0.000009257318,0.0000019833378,0.0000064758706,0.000024411751,0.0000019965041,0.0004890184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994178,0.00011058578,0.00010121101,0.00007885126,0.00019578547,0.000095837364],"domain_scores_gemma":[0.99240476,0.0027681286,0.0026305586,0.000209259,0.0011612618,0.0008259382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007308111,0.00036084006,0.00027277702,0.0013032027,0.0004058569,0.0017261115,0.00018970783,0.00047159992,0.0029550216],"category_scores_gemma":[0.008205722,0.00017032346,0.00023452548,0.0007416186,0.0007578373,0.000837251,0.00062931667,0.0005806426,0.00043132962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030479438,0.0010104885,0.92022353,0.00020224585,0.000055277706,0.0013112063,0.03165889,0.00021860274,0.00688705,0.00024173867,0.0002638442,0.037622303],"study_design_scores_gemma":[0.000026355032,0.0014936163,0.9596408,0.00008331095,0.00006195704,0.0019039732,0.029652001,0.0015645897,0.0036276935,0.000780786,0.0011219395,0.000043056432],"about_ca_topic_score_codex":0.0017257228,"about_ca_topic_score_gemma":0.0016672077,"teacher_disagreement_score":0.0029550216,"about_ca_system_score_codex":0.00025358007,"about_ca_system_score_gemma":0.00055611617,"threshold_uncertainty_score":0.00988555},"labels":[],"label_agreement":null},{"id":"W2791769113","doi":"10.2196/medinform.8611","title":"Assessing the Readability of Medical Documents: A Ranking Approach","year":2018,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. National Library of Medicine; U.S. Department of Veterans Affairs","keywords":"Readability; Computer science; Ranking (information retrieval); Concordance; Natural language processing; Information retrieval; Set (abstract data type); Artificial intelligence; Feature (linguistics); Machine learning; Data science; Medicine; Linguistics","score_opus":0.034709532721056736,"score_gpt":0.3604011198138306,"score_spread":0.32569158709277385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791769113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4921587,0.0026638112,0.4776156,0.0007469881,0.00025986048,0.0010763658,0.00552605,0.010516681,0.00943587],"genre_scores_gemma":[0.8087671,0.00032706506,0.18277037,0.00014648019,0.00015869961,0.00039369828,0.0041350797,0.00022386038,0.0030776463],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9910965,0.0028336279,0.0011783986,0.0018973525,0.0026775314,0.0003165226],"domain_scores_gemma":[0.9529141,0.02774116,0.0053456537,0.0027970609,0.010215483,0.000986519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057046926,0.0015201855,0.0010884191,0.009295015,0.00064452906,0.002634439,0.0011760708,0.0013112675,0.002589824],"category_scores_gemma":[0.043276772,0.00032599168,0.0010952741,0.0034387999,0.0005858637,0.0029103456,0.0015957298,0.0011193723,0.0025780543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012782607,0.00057446654,0.10250584,0.001123905,0.0006437532,0.00042494744,0.0012585146,0.012086402,0.02944029,0.0012121418,0.00983367,0.8396178],"study_design_scores_gemma":[0.00025823773,0.0029646107,0.23651324,0.0003503051,0.0007023771,0.0023910129,0.0017757165,0.6645055,0.06149116,0.012548105,0.016002355,0.00049735344],"about_ca_topic_score_codex":0.0025322083,"about_ca_topic_score_gemma":0.004459736,"teacher_disagreement_score":0.009295015,"about_ca_system_score_codex":0.00092851836,"about_ca_system_score_gemma":0.00072780316,"threshold_uncertainty_score":0.030169606},"labels":[],"label_agreement":null},{"id":"W2793382933","doi":"10.1007/978-3-319-75477-2_46","title":"Classification of Textual Genres Using Discourse Information","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Task (project management); Variety (cybernetics); Linguistics; Natural language processing; Artificial intelligence; Discourse analysis; Discourse marker; Philosophy","score_opus":0.033788664726766955,"score_gpt":0.28669100035671935,"score_spread":0.2529023356299524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793382933","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5793004,0.017243067,0.1532776,0.002842318,0.0018500476,0.0024409292,0.071433626,0.00666942,0.1649425],"genre_scores_gemma":[0.7109864,0.0055172127,0.16904071,0.00022470718,0.0012706463,0.0013165928,0.07893595,0.0013311397,0.031376693],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979025,0.00047378143,0.0003784384,0.00038607966,0.0006577129,0.00020145497],"domain_scores_gemma":[0.987542,0.006496243,0.0011492172,0.0006880333,0.0032307345,0.00089385035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015181653,0.00098127,0.00071550685,0.029850807,0.0015386721,0.0041593416,0.00076846825,0.0006691273,0.013420513],"category_scores_gemma":[0.01212323,0.0002967301,0.0009732442,0.014794648,0.00083442806,0.0038419159,0.0022018724,0.0011731611,0.006840071],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091916794,0.00030066544,0.046557188,0.0026445417,0.00013917043,0.00060590875,0.009904239,0.0009766147,0.037743773,0.014376307,0.035450142,0.85038227],"study_design_scores_gemma":[0.0002526696,0.0010248062,0.24279222,0.004711917,0.0010304962,0.0038790694,0.038799465,0.076560766,0.03872787,0.060216155,0.5316506,0.0003539714],"about_ca_topic_score_codex":0.0018267201,"about_ca_topic_score_gemma":0.002233966,"teacher_disagreement_score":0.029850807,"about_ca_system_score_codex":0.00094782584,"about_ca_system_score_gemma":0.0011657459,"threshold_uncertainty_score":0.044896126},"labels":[],"label_agreement":null},{"id":"W2795042751","doi":"","title":"Collocation and collocation error processing in the context of second language learning","year":2018,"lang":"en","type":"dissertation","venue":"TDX (Tesis Doctorals en Xarxa)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Artificial intelligence; Computer science","score_opus":0.020180182956088873,"score_gpt":0.31041990531926467,"score_spread":0.2902397223631758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795042751","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.258986,0.0050626295,0.70902836,0.0021050528,0.0005300932,0.00018629932,0.00045342135,0.0012705256,0.022377651],"genre_scores_gemma":[0.881938,0.0011264735,0.105928265,0.0001193124,0.0001911005,0.000099301455,0.0003112342,0.0001871769,0.01009904],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99806756,0.00068488606,0.00012325967,0.0005029697,0.00043157957,0.00018977345],"domain_scores_gemma":[0.99347335,0.0042931736,0.00055191584,0.0006212151,0.00085871125,0.00020158959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017771806,0.0005628349,0.0005687125,0.0016523611,0.00096973625,0.0045055323,0.0008307853,0.0015007878,0.006229765],"category_scores_gemma":[0.011731518,0.00048354935,0.0006160622,0.0019032095,0.0017959644,0.004348675,0.0022100233,0.0012717237,0.0012421352],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012476405,0.00020130252,0.034614626,0.0015505961,0.00023219727,0.0027696698,0.019176144,0.042330474,0.067492835,0.20036957,0.006809392,0.62320554],"study_design_scores_gemma":[0.00009141738,0.0006146595,0.08075273,0.00069665536,0.00020098085,0.0028728908,0.011296854,0.5144789,0.04541805,0.27660066,0.06657464,0.00040144587],"about_ca_topic_score_codex":0.004932817,"about_ca_topic_score_gemma":0.0046234136,"teacher_disagreement_score":0.006229765,"about_ca_system_score_codex":0.0010958669,"about_ca_system_score_gemma":0.0011279188,"threshold_uncertainty_score":0.020840645},"labels":[],"label_agreement":null},{"id":"W2795073795","doi":"10.1177/1468017318767091","title":"Readability, suitability, and writing for clients with limited literacy skills","year":2018,"lang":"en","type":"article","venue":"Journal of Social Work","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Readability; Literacy; Psychology; Reading (process); Computer science; Pedagogy; Linguistics","score_opus":0.016843800256583233,"score_gpt":0.3015515451048925,"score_spread":0.2847077448483093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795073795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961063,0.00014516193,0.00018132562,0.00010818849,0.0000034715997,0.000035464895,0.00007864202,0.00001591502,0.0033255497],"genre_scores_gemma":[0.99889356,0.00008859399,0.00035394513,0.00001572233,0.000003592511,0.000020700678,0.00005503906,0.0000046061805,0.0005641862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958675,0.0015553742,0.0005667199,0.0001631375,0.0015707518,0.00027646392],"domain_scores_gemma":[0.9741969,0.012566236,0.005940188,0.0011146497,0.0053610597,0.00082093704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005931491,0.00026442838,0.00039632784,0.0014819716,0.0005376603,0.001796078,0.00047168063,0.00032456085,0.003924091],"category_scores_gemma":[0.040079176,0.00010983991,0.00033271525,0.0008680819,0.0005830948,0.0009869594,0.00092223857,0.0005224578,0.0007284995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051455206,0.0004070851,0.8346778,0.00021515506,0.000046506895,0.0006960591,0.016230011,0.00021696891,0.002183692,0.00015292248,0.0010393643,0.14361987],"study_design_scores_gemma":[0.000014339761,0.00076434284,0.971913,0.00014952324,0.00005811011,0.0013386003,0.018643774,0.0006609265,0.0037620391,0.0003462028,0.002320565,0.000028576826],"about_ca_topic_score_codex":0.0027690663,"about_ca_topic_score_gemma":0.0042285086,"teacher_disagreement_score":0.005931491,"about_ca_system_score_codex":0.000711648,"about_ca_system_score_gemma":0.0007688796,"threshold_uncertainty_score":0.03136915},"labels":[],"label_agreement":null},{"id":"W2883325825","doi":"10.1037/xlm0000547","title":"Contributions of reader- and text-level characteristics to eye-movement patterns during passage reading.","year":2018,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Learning Memory and Cognition","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Eye movement; Cognitive psychology; Reading (process); Vocabulary; Cognition; Psychology; Computer science; Psycholinguistics; Reading comprehension; Artificial intelligence; Linguistics","score_opus":0.02853277318405379,"score_gpt":0.33424594013566167,"score_spread":0.3057131669516079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883325825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98986745,0.00034638128,0.0074558095,0.00003451339,0.000013756353,0.000043163425,0.00039335224,0.0000794715,0.001765992],"genre_scores_gemma":[0.99719703,0.00008288864,0.0020991769,0.0000079950805,0.000007204983,0.000024327095,0.00022830111,0.000020983389,0.00033200133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995912,0.00012241078,0.000037110756,0.00014183282,0.0000794706,0.000028021004],"domain_scores_gemma":[0.99388474,0.0036971478,0.0014488598,0.0005219958,0.00029791822,0.00014940022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007228433,0.00021882528,0.00025762542,0.0005727357,0.00012543985,0.00055148144,0.00017088353,0.00028767737,0.0013561138],"category_scores_gemma":[0.011094539,0.00014876627,0.0001939156,0.0006147575,0.0002588328,0.0005614421,0.00036009002,0.00029200214,0.00023570326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097122916,0.00012617903,0.6804299,0.0003003325,0.0002750586,0.00023197188,0.0016908735,0.0011775994,0.1978132,0.0003039127,0.00039181393,0.116288014],"study_design_scores_gemma":[0.0000035675168,0.00007975952,0.9949852,0.000005157709,0.000024564975,0.00012487778,0.00011132352,0.0011521183,0.0032131576,0.00013079381,0.00016269466,0.000006698957],"about_ca_topic_score_codex":0.0010884751,"about_ca_topic_score_gemma":0.0024482068,"teacher_disagreement_score":0.0013561138,"about_ca_system_score_codex":0.00013264836,"about_ca_system_score_gemma":0.00014588622,"threshold_uncertainty_score":0.0045366883},"labels":[],"label_agreement":null},{"id":"W2902840231","doi":"10.5539/ells.v8n4p8","title":"Impact of Language Input on Comprehensiveness of Reading Material among Students in Saudi Arabia","year":2018,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocabulary; Reading (process); Meaning (existential); Comprehension; Reading comprehension; Computer science; Mathematics education; Field (mathematics); Linguistics; Psychology; Mathematics","score_opus":0.009735983842126796,"score_gpt":0.30488962381910895,"score_spread":0.29515363997698213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902840231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995975,0.000045143075,0.000008673026,0.000029248053,0.0000014047877,0.000002633319,0.0000075067737,9.224358e-7,0.00030697146],"genre_scores_gemma":[0.9993861,0.000067609064,0.00003154854,0.000017741231,0.0000016809568,0.0000023057808,0.000015004298,8.8361e-7,0.00047717037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992663,0.0001647425,0.00011026617,0.00006610827,0.00026235773,0.00013021159],"domain_scores_gemma":[0.995421,0.0013162337,0.001518013,0.00011796161,0.0009978559,0.00062892435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000815896,0.00031567307,0.00029897716,0.0007393774,0.00073005515,0.0017428485,0.00033168946,0.00044074113,0.0039295666],"category_scores_gemma":[0.005063449,0.0001664841,0.0003045857,0.00043991022,0.00044776572,0.0005467286,0.0005068806,0.0005971546,0.0005686499],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003436356,0.00075493415,0.93068004,0.00019648844,0.000068869886,0.0011466951,0.03798586,0.00012656099,0.0045930166,0.00012926929,0.0003221745,0.023652513],"study_design_scores_gemma":[0.000008254575,0.0008519841,0.95765406,0.00007137573,0.000045967492,0.0004302164,0.03832216,0.00026064026,0.0011562561,0.000093009505,0.0010862558,0.00001994566],"about_ca_topic_score_codex":0.009984767,"about_ca_topic_score_gemma":0.013397715,"teacher_disagreement_score":0.009984767,"about_ca_system_score_codex":0.0006674652,"about_ca_system_score_gemma":0.0008402066,"threshold_uncertainty_score":0.019853294},"labels":[],"label_agreement":null},{"id":"W2905305848","doi":"10.5539/elt.v12n1p56","title":"Paraphrasing Strategy in EFL Ecuadorian B1 Students and Implications on Reading Comprehension","year":2018,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reading comprehension; Psychology; Paraphrase; Mathematics education; Comprehension; Test (biology); Reciprocal teaching; Competence (human resources); Literacy; Linguistics; Reading (process); Pedagogy; Social psychology","score_opus":0.021454837210007724,"score_gpt":0.3203907298057573,"score_spread":0.29893589259574954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905305848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990282,0.00010825912,0.00009278598,0.00005128685,0.00000161299,0.000008539221,0.0000073542024,0.0000035340338,0.00069839705],"genre_scores_gemma":[0.9983821,0.00019206728,0.0002538346,0.000033346667,0.0000021095045,0.000017004853,0.000021311704,0.0000031085667,0.0010950366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994747,0.00021878675,0.00004539573,0.0000753399,0.00009911538,0.000086704444],"domain_scores_gemma":[0.9980459,0.0008967236,0.0004700609,0.000087469685,0.0003306885,0.00016917917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007236894,0.0003632213,0.000306225,0.00053866085,0.0005715771,0.0010795107,0.00031026895,0.0004861611,0.0032119239],"category_scores_gemma":[0.0045177587,0.000110938636,0.00013116856,0.00041660332,0.0004263212,0.00053467246,0.00042404418,0.00048143032,0.00040521263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092709094,0.0067732604,0.4185244,0.000766787,0.00006545408,0.004945499,0.2054361,0.00046423738,0.08945009,0.0011520643,0.0013683111,0.2701267],"study_design_scores_gemma":[0.000056214485,0.00454476,0.85752034,0.0002515318,0.00009352909,0.0019193626,0.108473405,0.0008977085,0.017404182,0.0008720469,0.00791899,0.000047838326],"about_ca_topic_score_codex":0.002574987,"about_ca_topic_score_gemma":0.0029907296,"teacher_disagreement_score":0.0032119239,"about_ca_system_score_codex":0.00030012152,"about_ca_system_score_gemma":0.0004100685,"threshold_uncertainty_score":0.010744929},"labels":[],"label_agreement":null},{"id":"W2940642754","doi":"","title":"Méthodes d’enseignement de la lecture pour les personnes ayant une déficience intellectuelle moyenne à sévère","year":2019,"lang":"fr","type":"article","venue":"Canadian Journal of Education / Revue canadienne de l éducation","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec à Rimouski","funders":"","keywords":"Humanities; Art","score_opus":0.03776281913377554,"score_gpt":0.2715780684212553,"score_spread":0.23381524928747976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940642754","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08955199,0.0017152594,0.88271904,0.0011515717,0.00094740983,0.0028931645,0.0007049031,0.0037322566,0.016584357],"genre_scores_gemma":[0.2522573,0.0010102058,0.7109338,0.00023942899,0.00017694522,0.003146938,0.000543733,0.0005013027,0.031190312],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99058986,0.004893833,0.00074594683,0.0012948415,0.0021967061,0.00027880777],"domain_scores_gemma":[0.980583,0.011946816,0.0008265887,0.0018934922,0.004370699,0.00037941508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007010039,0.0011697988,0.0008447402,0.0019818593,0.0010491747,0.0028389168,0.0011451413,0.0011988225,0.016662445],"category_scores_gemma":[0.033902064,0.00052239635,0.0012101786,0.0008570481,0.00084029185,0.0014525343,0.0013923721,0.0015003348,0.0033706373],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023700984,0.00088997005,0.0072124302,0.0013943091,0.00017332313,0.00037962638,0.008752509,0.0034866424,0.030931784,0.010705046,0.008029693,0.9256746],"study_design_scores_gemma":[0.002795719,0.0060693906,0.10283026,0.0035355513,0.0014527902,0.0055367067,0.015684454,0.20340063,0.25732645,0.042396177,0.35780635,0.0011655664],"about_ca_topic_score_codex":0.005949907,"about_ca_topic_score_gemma":0.006069195,"teacher_disagreement_score":0.016662445,"about_ca_system_score_codex":0.0011481139,"about_ca_system_score_gemma":0.0032583338,"threshold_uncertainty_score":0.05574143},"labels":[],"label_agreement":null},{"id":"W2945464291","doi":"10.1037/xlm0000717","title":"Benefits from morphological regularities in dyslexia are task dependent.","year":2019,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Learning Memory and Cognition","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; German-Israeli Foundation for Scientific Research and Development; International Development Research Centre","keywords":"Dyslexia; Task (project management); Psychology; Cognitive psychology; Linguistics; Computer science; Reading (process); Philosophy; Engineering","score_opus":0.02486016120334763,"score_gpt":0.286088772061162,"score_spread":0.2612286108578144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945464291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976053,0.00021849378,0.00015334082,0.000046513534,0.000005734271,0.000010137863,0.00014999324,0.000028334081,0.0017820634],"genre_scores_gemma":[0.99857247,0.0001503047,0.00027680013,0.000046548637,0.000004247586,0.000012739969,0.0002136181,0.000009043775,0.0007140913],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997862,0.000032141183,0.00003742785,0.000074466894,0.00004451187,0.00002528255],"domain_scores_gemma":[0.99782985,0.0008011675,0.0008252532,0.0002416463,0.000066865374,0.00023513526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031015242,0.00044137365,0.00030926662,0.00069794257,0.00013602959,0.00057992863,0.00022704228,0.0005143194,0.0042726137],"category_scores_gemma":[0.0029074412,0.0001629552,0.00014978726,0.0002161175,0.00068244146,0.00066743407,0.0006518473,0.00037933572,0.0006904092],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0061957063,0.0016011053,0.38891998,0.0009747916,0.00026471048,0.0024762189,0.0018766015,0.00034917868,0.43264806,0.000906209,0.0017315685,0.1620559],"study_design_scores_gemma":[0.000045198754,0.0013439127,0.9898545,0.000022323811,0.000049569968,0.0015064738,0.00036357885,0.00014544089,0.005411949,0.0008387868,0.0004091294,0.000009231998],"about_ca_topic_score_codex":0.00083013007,"about_ca_topic_score_gemma":0.0013196643,"teacher_disagreement_score":0.0042726137,"about_ca_system_score_codex":0.0002098631,"about_ca_system_score_gemma":0.00013110328,"threshold_uncertainty_score":0.014293313},"labels":[],"label_agreement":null},{"id":"W2958762673","doi":"10.1017/s1366728919000312","title":"The English disease in Finnish compound processing: Backward transfer effects in Finnish–English bilinguals","year":2019,"lang":"en","type":"article","venue":"Bilingualism Language and Cognition","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Spelling; Linguistics; Reading (process); Transfer (computing); Computer science; Line (geometry); History; Psychology; Mathematics; Parallel computing; Philosophy","score_opus":0.007664252920006852,"score_gpt":0.24128225543429307,"score_spread":0.23361800251428622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958762673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99515694,0.00006325167,0.00026073045,0.00005661171,0.000013114821,0.000022983688,0.00010263226,0.000022338803,0.0043013124],"genre_scores_gemma":[0.99791497,0.000047058653,0.000340434,0.00006921292,0.000009361565,0.000028194385,0.000109803914,0.000037324433,0.0014435559],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99929607,0.000117855256,0.00007118968,0.0002311639,0.00019739488,0.000086291875],"domain_scores_gemma":[0.99383485,0.0036254702,0.0010707589,0.000452372,0.00058454706,0.00043201487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011089568,0.0007423182,0.0005972511,0.00063469564,0.00071383413,0.001288561,0.0003588387,0.0007991715,0.015190931],"category_scores_gemma":[0.0098715145,0.00044734636,0.0002388658,0.00028810473,0.0007549781,0.0020387385,0.0009947451,0.0010922191,0.0011750432],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011275969,0.0037072576,0.09619162,0.0011821217,0.00018404365,0.0037864025,0.04337211,0.0008132937,0.760441,0.0019570047,0.0018353595,0.07525383],"study_design_scores_gemma":[0.0007770376,0.0049320254,0.9106997,0.00018524627,0.00028839533,0.0047481945,0.011359209,0.003416855,0.053199902,0.00528379,0.0049350644,0.00017451237],"about_ca_topic_score_codex":0.007527476,"about_ca_topic_score_gemma":0.005984444,"teacher_disagreement_score":0.015190931,"about_ca_system_score_codex":0.0004516659,"about_ca_system_score_gemma":0.00069431774,"threshold_uncertainty_score":0.05081874},"labels":[],"label_agreement":null},{"id":"W2962734277","doi":"10.1037/xlm0000748","title":"Detecting spelling errors in compound and pseudocompound words.","year":2019,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Learning Memory and Cognition","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Morpheme; Orthography; Spelling; Compound; Natural language processing; Word (group theory); Speech recognition; Task (project management); Control (management); Artificial intelligence; Linguistics; Computer science; Word recognition; Psychology; Communication; Reading (process)","score_opus":0.02387598674403773,"score_gpt":0.3108783492838626,"score_spread":0.28700236253982486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962734277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914165,0.00035350895,0.0014664003,0.00008168237,0.00006067438,0.00013775035,0.001272911,0.00011917492,0.0050914492],"genre_scores_gemma":[0.98718446,0.00028951108,0.006704082,0.00011915883,0.000017406335,0.00010871399,0.002014974,0.000023856617,0.0035378314],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995802,0.000050382496,0.00011507839,0.00013692939,0.000096406475,0.000020949516],"domain_scores_gemma":[0.99598444,0.0023038925,0.0008116611,0.0003804415,0.00035441507,0.00016522323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005506392,0.0003859017,0.00027136333,0.000583226,0.00016465201,0.0005551904,0.00034649865,0.00069889444,0.013355851],"category_scores_gemma":[0.00906022,0.000117772324,0.00011244717,0.0003962234,0.00030806745,0.000825615,0.00037934352,0.00027980865,0.0028862103],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0069709774,0.0011332772,0.23150566,0.0013066408,0.00015715799,0.0025022738,0.0027804724,0.00037402823,0.21355851,0.00083650334,0.0061384984,0.53273594],"study_design_scores_gemma":[0.00028353903,0.0034351673,0.89259195,0.0001236757,0.00012111644,0.006455473,0.0015243964,0.002976014,0.083809115,0.001387988,0.007231369,0.00006016388],"about_ca_topic_score_codex":0.0010511125,"about_ca_topic_score_gemma":0.0015878471,"teacher_disagreement_score":0.013355851,"about_ca_system_score_codex":0.00017268976,"about_ca_system_score_gemma":0.0002325172,"threshold_uncertainty_score":0.04467976},"labels":[],"label_agreement":null},{"id":"W2962986840","doi":"10.18653/v1/n18-2013","title":"Sentence Simplification with Memory-Augmented Neural Networks","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Microsoft (Canada)","funders":"","keywords":"Computer science; Sentence; Computational linguistics; Natural language processing; Artificial intelligence; Artificial neural network; Volume (thermodynamics); Linguistics; Cognitive science; Psychology; Philosophy","score_opus":0.022921391967392204,"score_gpt":0.25207139055509037,"score_spread":0.22914999858769816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962986840","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.110223815,0.0033954126,0.8549213,0.001008227,0.0007948267,0.00022481638,0.001776969,0.014224314,0.013430372],"genre_scores_gemma":[0.6958659,0.0009215547,0.27685755,0.0003621836,0.00045969014,0.0002295281,0.0057762414,0.00095385953,0.018573435],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945384,0.00014222776,0.000049090293,0.00017107175,0.00010856771,0.0000752114],"domain_scores_gemma":[0.99851876,0.00062468206,0.00009993454,0.00039133793,0.00031829023,0.00004695959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006017846,0.0011484579,0.001268513,0.0011118195,0.0005785203,0.000999816,0.0015878478,0.0006666108,0.007353584],"category_scores_gemma":[0.0033715167,0.00043348025,0.0009542675,0.00090876024,0.00044444372,0.002105087,0.0013146326,0.0013958612,0.002362808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006687846,0.00022219033,0.0007943987,0.0003922066,0.00022200138,0.00038709564,0.00021698016,0.16052136,0.017659854,0.008992236,0.02609369,0.78382933],"study_design_scores_gemma":[0.00004345143,0.00008335051,0.00033547214,0.00001872112,0.00007810479,0.00006954917,0.00004962607,0.9692807,0.010736092,0.015766826,0.0035224468,0.000015548309],"about_ca_topic_score_codex":0.0051145274,"about_ca_topic_score_gemma":0.011121541,"teacher_disagreement_score":0.007353584,"about_ca_system_score_codex":0.0005469064,"about_ca_system_score_gemma":0.00073982746,"threshold_uncertainty_score":0.024600148},"labels":[],"label_agreement":null},{"id":"W2964145186","doi":"10.26615/978-954-452-049-6_027","title":"Automatic Identification of AltLexes using Monolingual Parallel Corpora","year":2017,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Natural language processing; WordNet; Leverage (statistics); Artificial intelligence; Parsing; Text simplification; Identification (biology); Task (project management); Natural language; Parallel corpora; Relation (database); Simple (philosophy); Sentence; Machine translation; Database","score_opus":0.05978571800230753,"score_gpt":0.3233308221855031,"score_spread":0.26354510418319554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964145186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48027357,0.004281629,0.4222071,0.0010948615,0.0008149748,0.0014970979,0.02488663,0.018273802,0.046670377],"genre_scores_gemma":[0.49121344,0.0016805056,0.43416488,0.00024804694,0.000385935,0.0013360849,0.058651548,0.002625034,0.009694562],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99523664,0.0010364255,0.0006720336,0.0020062996,0.00084424595,0.00020442456],"domain_scores_gemma":[0.9813168,0.008730159,0.0020602695,0.0028090696,0.004483069,0.00060062564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029584358,0.0015557589,0.0010242772,0.01139358,0.0020347298,0.0032708177,0.0012165501,0.0009477039,0.009272437],"category_scores_gemma":[0.017623194,0.0009340397,0.00066841085,0.0057826447,0.0011445154,0.0061873957,0.0033919574,0.0017971463,0.004353184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007437485,0.00065348955,0.03045393,0.0035061704,0.00033004803,0.006767737,0.008174148,0.003762549,0.17905346,0.020657863,0.03694945,0.7089475],"study_design_scores_gemma":[0.0004696372,0.00050454773,0.09785706,0.00097565603,0.0008470509,0.009932856,0.0125180045,0.13251679,0.21497579,0.055681784,0.4731625,0.0005584134],"about_ca_topic_score_codex":0.0023436006,"about_ca_topic_score_gemma":0.004626263,"teacher_disagreement_score":0.01139358,"about_ca_system_score_codex":0.00093950966,"about_ca_system_score_gemma":0.0018247588,"threshold_uncertainty_score":0.03101933},"labels":[],"label_agreement":null},{"id":"W2966658317","doi":"","title":"The Effects of Noun-Labelling by Others and the Self in the Domain of Mental Disorders","year":2018,"lang":"en","type":"article","venue":"Student Research Proceedings","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Noun; Psychology; Noun phrase; Linguistics; Determiner phrase; Identity (music); Phrase; Social psychology; Developmental psychology; Cognitive psychology","score_opus":0.017906094600222133,"score_gpt":0.3481998471781147,"score_spread":0.33029375257789256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966658317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99600595,0.00007380082,0.00018304052,0.00014047646,0.000009962779,0.000021238246,0.000016537664,0.0000061266787,0.0035428973],"genre_scores_gemma":[0.99824715,0.00007549268,0.0007226065,0.00013754319,0.000012596317,0.000038919385,0.000032097363,0.000022362869,0.0007112916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9947233,0.003474273,0.00023407282,0.000621496,0.0007284316,0.00021836262],"domain_scores_gemma":[0.92965615,0.057043146,0.007729282,0.002408663,0.0011895495,0.001973155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054511204,0.0004158207,0.00033921574,0.00055467547,0.0012415125,0.0020336448,0.00046732934,0.0009167547,0.00553422],"category_scores_gemma":[0.03506257,0.0003770647,0.00067470374,0.0002865258,0.0028060873,0.001668837,0.0019040938,0.001545211,0.00033726165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.017606063,0.007845645,0.61687833,0.0009895343,0.0006878762,0.0016499955,0.15213773,0.0011025864,0.1184615,0.005699714,0.0010333614,0.075907715],"study_design_scores_gemma":[0.000153131,0.0016320639,0.9800377,0.00008331323,0.00013836622,0.00024831216,0.011127178,0.0007085286,0.0032628921,0.0015034911,0.0010556829,0.000049304384],"about_ca_topic_score_codex":0.0036720869,"about_ca_topic_score_gemma":0.0055018617,"teacher_disagreement_score":0.00553422,"about_ca_system_score_codex":0.0009803313,"about_ca_system_score_gemma":0.000628056,"threshold_uncertainty_score":0.02882868},"labels":[],"label_agreement":null},{"id":"W2977455214","doi":"10.4000/books.aaccademia.4437","title":"Evalita 2018: Overview on the 6th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian","year":2018,"lang":"en","type":"book-chapter","venue":"Accademia University Press eBooks","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council Canada; Università degli Studi di Napoli Federico II","keywords":"Natural (archaeology); Computer science; Natural language processing; Linguistics; Psychology; Speech recognition; History; Archaeology; Philosophy","score_opus":0.10622571949909959,"score_gpt":0.3005297298892182,"score_spread":0.19430401039011863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977455214","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03604032,0.07882865,0.065407604,0.022770576,0.009360827,0.005872948,0.0954203,0.027793413,0.6585054],"genre_scores_gemma":[0.10166641,0.024276076,0.10224635,0.007075809,0.0044292985,0.011679584,0.41989347,0.021913052,0.30681995],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97852176,0.007673026,0.0008683647,0.0012603981,0.010634934,0.0010415578],"domain_scores_gemma":[0.97853595,0.0057986667,0.0007872577,0.0024370463,0.010799079,0.0016419694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021493835,0.002413198,0.0014738482,0.010186404,0.0016784646,0.0071969554,0.003467099,0.0023989037,0.03174476],"category_scores_gemma":[0.022719799,0.00068179687,0.0011351169,0.0064966325,0.0014924237,0.005120162,0.0049566543,0.0027903377,0.031544834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033441687,0.00029995278,0.0011582533,0.0021114645,0.0000687949,0.0000998719,0.0008599764,0.0008489513,0.003717466,0.0073103504,0.7880879,0.19510248],"study_design_scores_gemma":[0.00007730705,0.0002195732,0.002945805,0.00090609933,0.00006351292,0.00012280287,0.00026219588,0.0009256763,0.004425122,0.0024270627,0.9875803,0.000044509983],"about_ca_topic_score_codex":0.0068259654,"about_ca_topic_score_gemma":0.011819356,"teacher_disagreement_score":0.03174476,"about_ca_system_score_codex":0.004265052,"about_ca_system_score_gemma":0.0048871096,"threshold_uncertainty_score":0.11367166},"labels":[],"label_agreement":null},{"id":"W3009120927","doi":"10.1017/s1351324920000133","title":"Nonuniform language in technical writing: Detection and correction","year":2020,"lang":"en","type":"article","venue":"Natural Language Engineering","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Natural language processing; Readability; Paraphrase; Artificial intelligence; Task (project management); Sentence; Context (archaeology); Synonym (taxonomy); Similarity (geometry); Programming language","score_opus":0.004691055894078967,"score_gpt":0.21110933476405405,"score_spread":0.20641827886997507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009120927","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43956098,0.0011795298,0.5450733,0.0005878599,0.00024210426,0.00035335598,0.00076448155,0.008713036,0.003525352],"genre_scores_gemma":[0.72165173,0.0002507121,0.2740336,0.00011326148,0.00008261161,0.00009201342,0.0008960045,0.00038159534,0.0024985368],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99435896,0.001703235,0.0006724451,0.0013671541,0.0017064754,0.00019170898],"domain_scores_gemma":[0.96519655,0.014177757,0.006305132,0.0047214525,0.00898364,0.0006154729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025170567,0.0007549339,0.0007767307,0.003692467,0.00056969444,0.0014435868,0.0013581086,0.00091983884,0.0018724914],"category_scores_gemma":[0.021265794,0.00027546787,0.00042578919,0.0018717733,0.0007842088,0.001401531,0.001260595,0.00077972485,0.001368931],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053932494,0.00023726732,0.036393188,0.0008363486,0.00011268428,0.0010830136,0.0012383864,0.0071710497,0.13436453,0.0014231899,0.0059363977,0.8106646],"study_design_scores_gemma":[0.00008156999,0.00042775052,0.065689266,0.00014944655,0.00015642653,0.003954249,0.0013959933,0.5438369,0.36401117,0.0036598316,0.01646955,0.00016780403],"about_ca_topic_score_codex":0.0014941442,"about_ca_topic_score_gemma":0.0023927733,"teacher_disagreement_score":0.003692467,"about_ca_system_score_codex":0.0004416045,"about_ca_system_score_gemma":0.00076223584,"threshold_uncertainty_score":0.0133116245},"labels":[],"label_agreement":null},{"id":"W3009935877","doi":"10.1162/qss_a_00125","title":"Textual analysis of artificial intelligence manuscripts reveals features associated with peer review outcome","year":2021,"lang":"en","type":"preprint","venue":"Quantitative Science Studies","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Readability; Artificial intelligence; Natural language processing; Jargon; Computer science; Outcome (game theory); Similarity (geometry); Semantic similarity; Linguistics; Psychology; Mathematics; Philosophy","score_opus":0.2643686269816425,"score_gpt":0.4440727271641647,"score_spread":0.1797041001825222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009935877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895063,0.0020230375,0.0026317053,0.0003634253,0.00019300928,0.00021101271,0.0021061744,0.00016126315,0.0028040938],"genre_scores_gemma":[0.9937323,0.00046619037,0.0025612928,0.00006285754,0.00034130283,0.00016694036,0.0016498048,0.000064866705,0.0009544246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.978314,0.007804638,0.0054377806,0.0012832282,0.0067066285,0.00045371917],"domain_scores_gemma":[0.4752441,0.3367494,0.10840745,0.010771021,0.06276215,0.0060659093],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01620158,0.00037759237,0.00092627626,0.010216025,0.0010322664,0.004175158,0.00074992725,0.00060676644,0.0037413926],"category_scores_gemma":[0.19109039,0.00013415623,0.00057099015,0.0086664725,0.0010543284,0.0018192694,0.0012631628,0.000526311,0.0012678498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003961042,0.00076394016,0.80340534,0.0050210813,0.0008355247,0.0017780376,0.009656841,0.0014197073,0.023055157,0.0013710682,0.0065297945,0.14220247],"study_design_scores_gemma":[0.00008167922,0.0010937494,0.96641934,0.00029726102,0.000288043,0.0010399482,0.0054596853,0.002738531,0.008978086,0.0021151388,0.011349851,0.00013859828],"about_ca_topic_score_codex":0.00024768588,"about_ca_topic_score_gemma":0.00032408003,"teacher_disagreement_score":0.989784,"about_ca_system_score_codex":0.00065625214,"about_ca_system_score_gemma":0.0007646052,"threshold_uncertainty_score":0.08568323},"labels":[],"label_agreement":null},{"id":"W3032992654","doi":"10.1558/cj.36523","title":"Using Grammar Checkers in an ESL Context","year":2020,"lang":"en","type":"article","venue":"CALICO Journal","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"TUTOR; Grammar; Computer science; Set (abstract data type); Context (archaeology); Word (group theory); Natural language processing; English grammar; Identification (biology); Corrective feedback; Artificial intelligence; Linguistics; Psychology; Mathematics education; Programming language","score_opus":0.16513473083563346,"score_gpt":0.3264333420404734,"score_spread":0.16129861120483996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032992654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9425862,0.00033224118,0.044710845,0.00064915244,0.00011891463,0.00019739455,0.00013479765,0.006351646,0.0049188277],"genre_scores_gemma":[0.96381223,0.00011236008,0.03277869,0.00033327265,0.00004091477,0.000053691256,0.0001402377,0.0003704071,0.002358278],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9764075,0.014148558,0.0012093987,0.0027473024,0.004897465,0.0005897093],"domain_scores_gemma":[0.82461506,0.13349013,0.013906119,0.0141275395,0.0114833405,0.0023778302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011339058,0.0011549592,0.0007542795,0.0019568661,0.000667276,0.0022703735,0.0018741265,0.0015372437,0.0027350439],"category_scores_gemma":[0.12044543,0.0004229199,0.00026499902,0.00086537556,0.0017947732,0.0025666065,0.0023292678,0.0014122402,0.0011306641],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001984915,0.001841487,0.09722249,0.0010510333,0.00014257354,0.0049737697,0.048441257,0.00822362,0.08716751,0.0025126901,0.0055743167,0.7408642],"study_design_scores_gemma":[0.0010019845,0.013533207,0.17912284,0.0011767639,0.0007958434,0.018290497,0.0327332,0.15645391,0.46652305,0.013507844,0.11603347,0.0008274311],"about_ca_topic_score_codex":0.0013755294,"about_ca_topic_score_gemma":0.0018057361,"teacher_disagreement_score":0.011339058,"about_ca_system_score_codex":0.0008059753,"about_ca_system_score_gemma":0.0015231182,"threshold_uncertainty_score":0.05996734},"labels":[],"label_agreement":null},{"id":"W3034886066","doi":"10.18653/v1/2020.acl-main.707","title":"Iterative Edit-Based Unsupervised Sentence Simplification","year":2020,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Waterloo","funders":"Compute Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Computer science; Sentence; Phrase; Artificial intelligence; Simplicity; Natural language processing; Set (abstract data type); Fluency; Word (group theory); Machine learning; Mathematics; Programming language","score_opus":0.03701943317026513,"score_gpt":0.246221930022016,"score_spread":0.20920249685175088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034886066","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011407961,0.0002761569,0.9808656,0.00014457015,0.00006846499,0.000120398516,0.00039285535,0.004845591,0.001878278],"genre_scores_gemma":[0.29889643,0.00040919404,0.677409,0.00048307766,0.0002829779,0.0004656087,0.0057140216,0.0017663577,0.014573288],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99760216,0.0008271949,0.00013076863,0.00058321806,0.00072669925,0.00012983689],"domain_scores_gemma":[0.9947935,0.0022268738,0.00041824684,0.0013131015,0.0011123326,0.00013596252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014332612,0.0012835157,0.0012766619,0.0016560159,0.0007064648,0.0009366053,0.0029957686,0.0009573998,0.0030205718],"category_scores_gemma":[0.006986162,0.0006309833,0.0015905118,0.0013008937,0.0009076362,0.0021139444,0.001887043,0.0022604752,0.0022676792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027553583,0.00037509695,0.0028181656,0.00047292144,0.00037278482,0.00056439097,0.0009301423,0.14795755,0.051359944,0.016509147,0.032077037,0.7462872],"study_design_scores_gemma":[0.000029459481,0.00013631232,0.0012519481,0.000021714086,0.00006998899,0.00036795659,0.00007141829,0.94344294,0.0265456,0.015795747,0.012217817,0.000049180988],"about_ca_topic_score_codex":0.0030610815,"about_ca_topic_score_gemma":0.009196922,"teacher_disagreement_score":0.0030610815,"about_ca_system_score_codex":0.0006661199,"about_ca_system_score_gemma":0.0012450324,"threshold_uncertainty_score":0.010104835},"labels":[],"label_agreement":null},{"id":"W3036182276","doi":"10.48550/arxiv.2006.09639","title":"Iterative Edit-Based Unsupervised Sentence Simplification","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sentence; Computer science; Phrase; Simplicity; Artificial intelligence; Fluency; Natural language processing; Set (abstract data type); Word (group theory); Function (biology); Machine learning; Mathematics","score_opus":0.10680871208108451,"score_gpt":0.20094781286612134,"score_spread":0.09413910078503683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036182276","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013475262,0.00025272876,0.97922647,0.00016544636,0.00006313058,0.00011873999,0.00039424488,0.004341585,0.0019624133],"genre_scores_gemma":[0.3446121,0.00039081337,0.6324582,0.00046853165,0.0002667478,0.00043769562,0.0055357288,0.0017592785,0.014071027],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974859,0.0008562714,0.00013771853,0.00062724174,0.00076001784,0.00013286174],"domain_scores_gemma":[0.99417794,0.0025881915,0.00046822533,0.0014839809,0.0011323162,0.00014939028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015196211,0.0011944479,0.0012177947,0.0017094363,0.0007014972,0.00095986394,0.0028711054,0.0009045247,0.002818699],"category_scores_gemma":[0.007988293,0.0006002225,0.0015530813,0.001318744,0.0009459492,0.002217588,0.001947226,0.0022127673,0.0019692276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027768317,0.0003815488,0.0031824328,0.0005025455,0.00037313026,0.00058595196,0.001077263,0.16065158,0.053764038,0.020653391,0.031206032,0.72734445],"study_design_scores_gemma":[0.000029177005,0.00012552098,0.0013604757,0.00002198635,0.00006860779,0.00033647555,0.000086422384,0.9374553,0.027264401,0.021620398,0.011582414,0.00004882032],"about_ca_topic_score_codex":0.0028886138,"about_ca_topic_score_gemma":0.008696059,"teacher_disagreement_score":0.0028886138,"about_ca_system_score_codex":0.00067848037,"about_ca_system_score_gemma":0.001251039,"threshold_uncertainty_score":0.009429514},"labels":[],"label_agreement":null},{"id":"W3040990147","doi":"10.1007/s11881-020-00200-2","title":"Correction to: Predicting Arabic word reading: A cross-classified generalized random-effects analysis showing the critical role of morphology","year":2020,"lang":"en","type":"erratum","venue":"Annals of Dyslexia","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Psycholinguistics; Arabic; Linguistics; Morphology (biology); Reading (process); Psychology; Word (group theory); Dyslexia; Natural language processing; Cognitive psychology; Computer science; Cognition; Philosophy; Biology; Neuroscience","score_opus":0.050013384576298656,"score_gpt":0.34407205301740956,"score_spread":0.2940586684411109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040990147","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005110295,0.0005067413,0.0016062615,0.04962787,0.9372236,0.000050052837,0.005362619,0.0011445655,0.003967203],"genre_scores_gemma":[0.05561874,0.004013444,0.024312846,0.08930826,0.25324854,0.0007596429,0.011678847,0.010469535,0.55059016],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950376,0.0008886375,0.00115535,0.0007400007,0.0018042363,0.00037412037],"domain_scores_gemma":[0.9237903,0.023846695,0.0027918627,0.0056508733,0.0417797,0.0021406463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047174804,0.0030801408,0.0028734736,0.0049789334,0.0041293926,0.0041247616,0.0042455043,0.0055333856,0.15714304],"category_scores_gemma":[0.11523221,0.001300652,0.0014851063,0.003919661,0.0026097626,0.0025239007,0.0024559258,0.007949072,0.06859109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051866664,0.000008214837,0.000115183,0.000104865416,0.000011115035,0.0002035189,0.00004666858,0.000042217114,0.000041428608,0.00049177354,0.9939658,0.0049174237],"study_design_scores_gemma":[0.00019034461,0.000054883065,0.004079625,0.0007187128,0.00010002201,0.0015997646,0.00039531768,0.0012623406,0.0010212729,0.00532405,0.9851303,0.00012344262],"about_ca_topic_score_codex":0.03980121,"about_ca_topic_score_gemma":0.04067095,"teacher_disagreement_score":0.15714304,"about_ca_system_score_codex":0.0035461849,"about_ca_system_score_gemma":0.0060992357,"threshold_uncertainty_score":0.5256958},"labels":[],"label_agreement":null},{"id":"W3048273900","doi":"10.5539/ijel.v10n6p30","title":"An Evaluation of China’s Automated Scoring System Bingo English","year":2020,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fluency; China; Quality (philosophy); Test (biology); Scoring system; Psychology; Natural language processing; Artificial intelligence; Linguistics; Computer science; Mathematics education; Medicine; Political science","score_opus":0.03625590267231639,"score_gpt":0.3134911558562807,"score_spread":0.2772352531839643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048273900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798645,0.00037399615,0.011702136,0.00022424097,0.00008953661,0.00054495805,0.0006625518,0.0018533593,0.0046847034],"genre_scores_gemma":[0.95367575,0.0002607598,0.037490893,0.000107144995,0.00007596356,0.00040606325,0.0018987957,0.00015782734,0.0059268367],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99094605,0.0036640076,0.00088137266,0.00085279776,0.003342528,0.00031329473],"domain_scores_gemma":[0.9596271,0.010448391,0.0023049372,0.00398194,0.021776995,0.0018606234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01262719,0.0006702333,0.000682455,0.004618354,0.00068852806,0.0013408049,0.0011763491,0.00052128715,0.0024995713],"category_scores_gemma":[0.029910384,0.00022371308,0.0002519822,0.0020989159,0.0006141356,0.0017251553,0.0019354831,0.0004005305,0.0008561947],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027551157,0.001204891,0.15370877,0.0008738925,0.0001929698,0.00052066986,0.0070766024,0.0045157657,0.04379447,0.0020487504,0.011046115,0.7722619],"study_design_scores_gemma":[0.0009233178,0.006241258,0.66480446,0.00028630355,0.00040251133,0.0009858002,0.0069884146,0.20789379,0.061289586,0.0017099482,0.048007816,0.00046689456],"about_ca_topic_score_codex":0.011836059,"about_ca_topic_score_gemma":0.014103897,"teacher_disagreement_score":0.01262719,"about_ca_system_score_codex":0.0011759256,"about_ca_system_score_gemma":0.0017744682,"threshold_uncertainty_score":0.06677973},"labels":[],"label_agreement":null},{"id":"W3060766412","doi":"10.48550/arxiv.2008.08612","title":"A Survey on Text Simplification","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Field (mathematics); Natural language processing; Focus (optics); Artificial intelligence; Text simplification; Similarity (geometry); Semantic similarity; Information retrieval; Data science; Sentence","score_opus":0.1624201718261306,"score_gpt":0.21252101699547102,"score_spread":0.05010084516934041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3060766412","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021033486,0.70413405,0.1547729,0.006714409,0.001994326,0.00064325344,0.012994907,0.010085849,0.087626815],"genre_scores_gemma":[0.06448922,0.69641775,0.15629327,0.0037113875,0.0031534878,0.0008394774,0.045054942,0.0028201165,0.027220385],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960194,0.0009616421,0.0004852981,0.00054356875,0.0018128915,0.00017725152],"domain_scores_gemma":[0.9820648,0.013623115,0.00072705926,0.0011688712,0.002184169,0.00023205431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020730647,0.0013397557,0.001371298,0.010893667,0.0007672478,0.0028266772,0.0014613346,0.0010090066,0.019292707],"category_scores_gemma":[0.020666458,0.0005547696,0.0010918675,0.013276417,0.0008276953,0.006532806,0.0017027305,0.0014412401,0.008980573],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007452428,0.000057498175,0.0012784636,0.0064437594,0.000053382806,0.00009706922,0.00038592564,0.0015657545,0.0015704143,0.007808916,0.06919609,0.91146815],"study_design_scores_gemma":[0.00002382725,0.0001218937,0.0057366914,0.003889382,0.000085874235,0.0009594587,0.0006301211,0.004882849,0.0043498054,0.017882228,0.9613774,0.0000604693],"about_ca_topic_score_codex":0.002997153,"about_ca_topic_score_gemma":0.0031187036,"teacher_disagreement_score":0.019292707,"about_ca_system_score_codex":0.00097341434,"about_ca_system_score_gemma":0.0015231168,"threshold_uncertainty_score":0.064540565},"labels":[],"label_agreement":null},{"id":"W3080107039","doi":"10.20944/preprints202008.0560.v1","title":"Social Media Platform: Measuring Readability and Socio-Economic Status","year":2020,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Readability; Crowdsourcing; Socioeconomic status; Social media; Public relations; Political science; Sociology; Computer science; World Wide Web; Demography","score_opus":0.25424752382207333,"score_gpt":0.34385184990458667,"score_spread":0.08960432608251334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080107039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99018127,0.00008656484,0.0008304247,0.000058558184,0.000016574844,0.00010905338,0.0033743363,0.00007576229,0.0052675004],"genre_scores_gemma":[0.99276006,0.000069722664,0.0016304863,0.00001853976,0.000037628124,0.00010666677,0.002877643,0.000021933518,0.0024772957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990613,0.00019121835,0.00014182806,0.0001260656,0.000388671,0.00009103776],"domain_scores_gemma":[0.99149233,0.002777736,0.002944632,0.0005451941,0.0013852997,0.00085492386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009960158,0.00036519498,0.00022621406,0.0045120944,0.00044016066,0.0012958827,0.00031798804,0.0005361747,0.0041264603],"category_scores_gemma":[0.008395295,0.00011472708,0.00035603755,0.0027957496,0.0003286861,0.0017270705,0.0009563896,0.00038925692,0.0012808028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003899813,0.00027225964,0.9593962,0.00016756835,0.00013974766,0.00015862723,0.0022968086,0.00043117747,0.004361648,0.00036460662,0.0015197101,0.030501824],"study_design_scores_gemma":[0.0000043348577,0.00013640197,0.994945,0.00001513118,0.000017112778,0.00012425867,0.001141605,0.0010342484,0.0011845776,0.00021084848,0.0011707422,0.000015821692],"about_ca_topic_score_codex":0.0030676224,"about_ca_topic_score_gemma":0.0045411275,"teacher_disagreement_score":0.0045120944,"about_ca_system_score_codex":0.00029343017,"about_ca_system_score_gemma":0.00015433188,"threshold_uncertainty_score":0.013804376},"labels":[],"label_agreement":null},{"id":"W3080863676","doi":"10.31468/cjsdwr.789","title":"A Tutor-Led Collaborative Modelling Approach to Teaching Paraphrasing to International Graduate Students","year":2020,"lang":"en","type":"article","venue":"Discourse and Writing/Rédactologie","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Paraphrase; Writing center; TUTOR; CLARITY; Academic writing; Graduate students; Academic integrity; Citation; Mathematics education; Computer science; Legal writing; Plagiarism detection; Pedagogy; Psychology; Medical education; Library science; Medicine; Political science","score_opus":0.1823103370101203,"score_gpt":0.4233136540277681,"score_spread":0.2410033170176478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080863676","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12888521,0.00012764019,0.83069277,0.00087443594,0.00011128772,0.0010630903,0.000081791375,0.004476497,0.033687245],"genre_scores_gemma":[0.46192086,0.00016476432,0.5188181,0.00023113198,0.000040900355,0.00092613936,0.00015469822,0.00042792936,0.017315479],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9940602,0.0039517623,0.0002264742,0.0008978764,0.0006395936,0.00022416834],"domain_scores_gemma":[0.9917846,0.0044581676,0.00045648104,0.0016100191,0.00074999983,0.00094075984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00385874,0.0010506295,0.0006067904,0.0010736417,0.0018067901,0.003977433,0.0030851394,0.0019611816,0.006531086],"category_scores_gemma":[0.013667759,0.00048223682,0.00077566,0.00086315087,0.0015126092,0.0026810493,0.00605623,0.0023367028,0.002576809],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063893665,0.00691644,0.0074185557,0.00073354074,0.00008407571,0.001492979,0.15984026,0.03160605,0.052483995,0.03928868,0.013325063,0.6861714],"study_design_scores_gemma":[0.0011121209,0.008338704,0.009604639,0.0008269075,0.00036213527,0.0055591865,0.05697272,0.38531482,0.11727976,0.09448734,0.3194368,0.0007048989],"about_ca_topic_score_codex":0.0009458475,"about_ca_topic_score_gemma":0.0021888493,"teacher_disagreement_score":0.006531086,"about_ca_system_score_codex":0.0013975479,"about_ca_system_score_gemma":0.002192009,"threshold_uncertainty_score":0.021848679},"labels":[],"label_agreement":null},{"id":"W3089382419","doi":"","title":"Analysis of Compositions by B1 Level (Threshold) Francophone Learners of Catalan: Typology of Errors and Correspondences","year":2020,"lang":"en","type":"article","venue":"Revista Internacional de Catalanística = Journal of Catalan Studies","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Catalan; Typology; Linguistics; Natural language processing; Agreement; Focus (optics); Computer science; Error analysis; Artificial intelligence; Psychology; Mathematics; History","score_opus":0.0513775033841889,"score_gpt":0.31392978093471297,"score_spread":0.26255227755052407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089382419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982256,0.0001594042,0.00043152116,0.000029738718,0.000006001125,0.000023747429,0.00019992449,0.000021799307,0.0009023342],"genre_scores_gemma":[0.9948196,0.000194166,0.0017492909,0.00002462703,0.0000067589544,0.000051064853,0.0007266748,0.000039597606,0.0023882953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99500364,0.0012265182,0.0007093051,0.0011067699,0.0016256762,0.0003280893],"domain_scores_gemma":[0.97489965,0.011364842,0.0055291555,0.0014558642,0.0059547736,0.00079572503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034107086,0.0007252279,0.000623001,0.0044402466,0.00088223175,0.001970886,0.00077135605,0.00090470485,0.002033793],"category_scores_gemma":[0.01638793,0.0002456986,0.00025429772,0.0026461454,0.0010216127,0.00082404265,0.0015701574,0.0004166434,0.00085874065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006814956,0.0002495689,0.7761234,0.0004984117,0.000074566546,0.0027663924,0.090459794,0.0006215002,0.015325931,0.0004544983,0.0011736806,0.11157073],"study_design_scores_gemma":[0.000016386986,0.00031661039,0.92441666,0.0001626845,0.00004978765,0.0023839902,0.054621287,0.0017798919,0.00754098,0.00034236687,0.008306184,0.00006323457],"about_ca_topic_score_codex":0.019261187,"about_ca_topic_score_gemma":0.020672036,"teacher_disagreement_score":0.019261187,"about_ca_system_score_codex":0.0016040143,"about_ca_system_score_gemma":0.0014009217,"threshold_uncertainty_score":0.03829813},"labels":[],"label_agreement":null},{"id":"W3091726675","doi":"10.5539/elt.v13n10p139","title":"Prediction Skills, Reading Comprehension and Learning Achievement in Vihiga County Kenya. Addressing Constraints and Prospects","year":2020,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reading comprehension; Mathematics education; Psychology; Comprehension; Reading (process); Grammar; Control (management); Curriculum; Pedagogy; Computer science; Linguistics; Artificial intelligence","score_opus":0.0163929330620629,"score_gpt":0.24433727355153528,"score_spread":0.22794434048947237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091726675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995401,0.000055082775,0.000010172647,0.00003719602,0.0000010145959,0.0000051048264,0.000037188074,4.4107335e-7,0.0003136812],"genre_scores_gemma":[0.9992261,0.000073411145,0.000065491666,0.000012374822,9.535824e-7,0.000015798956,0.000059976283,4.979663e-7,0.00054542854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997646,0.000086471584,0.000014296953,0.000038677204,0.00003240406,0.000063527135],"domain_scores_gemma":[0.99939394,0.00021193313,0.00019977307,0.00001855652,0.000072068935,0.00010373158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055937225,0.0002190927,0.00017490803,0.0005004117,0.0010539021,0.0005410678,0.00024955662,0.00031093674,0.001649604],"category_scores_gemma":[0.0017083301,0.00017788415,0.00013126015,0.00041584068,0.00042033175,0.00054227776,0.00045801108,0.00035092552,0.00020476466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010859126,0.00047980523,0.9846125,0.000044976292,0.000019323374,0.00029168284,0.005586059,0.00008956563,0.000746972,0.00019421153,0.00026990948,0.0075563146],"study_design_scores_gemma":[0.0000054232823,0.00023453306,0.991484,0.000023662207,0.000018428727,0.0000571678,0.00726367,0.00015786644,0.00014953935,0.00004417901,0.0005569979,0.000004593279],"about_ca_topic_score_codex":0.065604046,"about_ca_topic_score_gemma":0.18936281,"teacher_disagreement_score":0.065604046,"about_ca_system_score_codex":0.00081352977,"about_ca_system_score_gemma":0.001018112,"threshold_uncertainty_score":0.13044435},"labels":[],"label_agreement":null},{"id":"W3116307283","doi":"","title":"Prose and cons of scholarly articles: How readability tests expose poor knowledge mobilization in academic publications","year":2021,"lang":"en","type":"article","venue":"Journal of Professional Communication","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Readability; Reading (process); Comprehension; Meaning (existential); Index (typography); Psychology; Reading comprehension; Social science; Sociology; Political science; Computer science; World Wide Web","score_opus":0.08257423262281025,"score_gpt":0.3646460487182441,"score_spread":0.28207181609543386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116307283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98748416,0.0012531077,0.001657559,0.00068569684,0.000083791325,0.00008763211,0.00033083023,0.00005995588,0.00835725],"genre_scores_gemma":[0.99698776,0.00032054682,0.0012572006,0.00012231199,0.00008277172,0.00007790425,0.0002479939,0.00003957106,0.0008638751],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9733279,0.009185025,0.004787692,0.0015237333,0.010526059,0.00064951973],"domain_scores_gemma":[0.61748916,0.27705804,0.07242586,0.008971338,0.02058383,0.0034718476],"candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.018086307,0.00046458488,0.0005894984,0.007957153,0.00082970463,0.005422721,0.000653118,0.001087493,0.0037432488],"category_scores_gemma":[0.23587161,0.00022240894,0.0008498443,0.0041163596,0.0020431993,0.0051190592,0.0030741931,0.0010203146,0.0008007365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012563278,0.00032258735,0.8364581,0.00094256183,0.0006137065,0.00076076627,0.028237551,0.0004779966,0.0030676108,0.0019354376,0.00236945,0.12355792],"study_design_scores_gemma":[0.000035879046,0.00065848243,0.95527405,0.00069027056,0.00031636964,0.0020599058,0.023903962,0.0016808074,0.0034068553,0.0063325064,0.005498152,0.00014287667],"about_ca_topic_score_codex":0.0006057904,"about_ca_topic_score_gemma":0.00077891874,"teacher_disagreement_score":0.9945773,"about_ca_system_score_codex":0.00088273466,"about_ca_system_score_gemma":0.0008052679,"threshold_uncertainty_score":0.09565061},"labels":[],"label_agreement":null},{"id":"W3119809947","doi":"10.1108/s1569-375920200000105007","title":"Readability Analysis of Laws Related to Public Financial Responsibility and State Budget: A Comparison of Selected Countries","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Readability; Audit; Political science; Turkish; Accountability; Accounting; Business; Law; Linguistics","score_opus":0.02204958258895439,"score_gpt":0.27746280220051506,"score_spread":0.25541321961156066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119809947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948184,0.0001804459,0.00043028843,0.00002712967,0.0000105885265,0.000031783326,0.0003759722,0.000009407541,0.0041159554],"genre_scores_gemma":[0.9983516,0.00010735218,0.0004915,0.000017814986,0.0000042610964,0.000036759357,0.0004238041,0.000008191889,0.00055880536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974728,0.0008551855,0.0005916103,0.00031295125,0.0006331907,0.0001342374],"domain_scores_gemma":[0.987931,0.004646356,0.0033556973,0.0008227993,0.0029282297,0.0003158401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002325062,0.00025332224,0.00028401086,0.00420659,0.00033753732,0.0011779548,0.0002509845,0.00026146663,0.0017266923],"category_scores_gemma":[0.0107327625,0.00010934195,0.00043881207,0.0027856193,0.0006910438,0.0008632491,0.00063815515,0.00028098814,0.00028877324],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063664705,0.0002611454,0.8975524,0.0004099639,0.00025989173,0.000826381,0.027733892,0.00081929425,0.0034433987,0.0012664669,0.001197593,0.06559297],"study_design_scores_gemma":[0.000008849667,0.00026429666,0.9771941,0.00009834043,0.00004312266,0.00030481955,0.015881926,0.00040050698,0.001912118,0.00013997829,0.003731381,0.000020405107],"about_ca_topic_score_codex":0.0031447548,"about_ca_topic_score_gemma":0.0035189246,"teacher_disagreement_score":0.00420659,"about_ca_system_score_codex":0.00042516217,"about_ca_system_score_gemma":0.00036248827,"threshold_uncertainty_score":0.0122962},"labels":[],"label_agreement":null},{"id":"W3127970288","doi":"10.1037/cep0000222","title":"The effect of speaker age on the perception of ironic insults.","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Insult; Interpretation (philosophy); Sentence; Context (archaeology); Sarcasm; Perception; Comprehension; Linguistics; Statement (logic); Utterance; Reading (process); Politeness; Social psychology; Cognitive psychology; Irony","score_opus":0.028484652904156003,"score_gpt":0.2945398781174392,"score_spread":0.2660552252132832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127970288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701,0.00026419753,0.00040142992,0.000052056188,0.000018098879,0.000019556455,0.000067662666,0.000017552042,0.002149501],"genre_scores_gemma":[0.99884015,0.00012846892,0.0004886758,0.000030211106,0.000015438081,0.000013451163,0.00005201902,0.000012774668,0.0004187239],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991652,0.00031411243,0.000080341604,0.00016067534,0.00023052143,0.000049214097],"domain_scores_gemma":[0.96101284,0.029440597,0.006149108,0.00095518725,0.0016012831,0.0008410026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019276288,0.00028903328,0.00025926798,0.000450242,0.00018072558,0.00092922064,0.00022702107,0.00055620895,0.004035585],"category_scores_gemma":[0.027553376,0.0002021013,0.000177291,0.00014813409,0.0003760735,0.0009210101,0.0005195576,0.00041645378,0.00039271527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012527966,0.0008431446,0.50157195,0.000982186,0.00025742257,0.0023524438,0.04358879,0.00031928308,0.3634445,0.00063659187,0.0009959405,0.07247975],"study_design_scores_gemma":[0.000044297307,0.0014280981,0.9828839,0.000051903757,0.00010678304,0.00077798706,0.0042804927,0.0004723897,0.008904139,0.00030167357,0.0007122655,0.000036158304],"about_ca_topic_score_codex":0.0007125306,"about_ca_topic_score_gemma":0.0009688322,"teacher_disagreement_score":0.004035585,"about_ca_system_score_codex":0.00020792136,"about_ca_system_score_gemma":0.00012716363,"threshold_uncertainty_score":0.013500392},"labels":[],"label_agreement":null},{"id":"W3162983511","doi":"10.1037/xge0001038","title":"Prevalence of spelling errors affects reading behavior across languages.","year":2021,"lang":"en","type":"article","venue":"Journal of Experimental Psychology General","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Vector Institute; Ontario Ministry of Research and Innovation; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Spelling; Phonology; Linguistics; Sentence; Psycholinguistics; Orthography; Psychology; Natural language processing; Word recognition; Written language; Cognitive psychology; Artificial intelligence; Reading (process); Computer science; Cognition","score_opus":0.03865048356363132,"score_gpt":0.39953929186046555,"score_spread":0.36088880829683423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162983511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99929404,0.00006401729,0.00010110819,0.000017599754,0.0000043183427,0.0000040588516,0.000065094595,0.000010300491,0.00043945707],"genre_scores_gemma":[0.99951446,0.000027016125,0.00010215615,0.000016482023,0.0000028654633,0.000004613735,0.00009997487,0.0000096241265,0.00022284797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985057,0.00049626216,0.00020015899,0.00042582874,0.00028850645,0.000083508174],"domain_scores_gemma":[0.9684002,0.017455753,0.009986083,0.0019045663,0.001113719,0.0011396512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017303466,0.00035127986,0.00029517882,0.00095237687,0.00022808048,0.0010369498,0.00036426124,0.00062122464,0.0033098138],"category_scores_gemma":[0.026115144,0.000260923,0.00020321005,0.0004585965,0.0006114466,0.0008031784,0.0006314531,0.0005498931,0.0006161712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018708899,0.0007358254,0.9430845,0.00009489503,0.00033297268,0.0004180992,0.0028887442,0.00019678258,0.031853825,0.000071327515,0.00022589396,0.01822635],"study_design_scores_gemma":[0.0000074979025,0.0004078845,0.9977233,0.0000051116576,0.000029017294,0.00020260301,0.00037211218,0.00021480561,0.00089305645,0.00005981884,0.00007693625,0.000007814771],"about_ca_topic_score_codex":0.001349728,"about_ca_topic_score_gemma":0.0018652854,"teacher_disagreement_score":0.0033098138,"about_ca_system_score_codex":0.00021329106,"about_ca_system_score_gemma":0.00014602023,"threshold_uncertainty_score":0.011072457},"labels":[],"label_agreement":null},{"id":"W3164248983","doi":"10.17045/sthlmuni.13067432.v1","title":"Deepening source criticism in higher education to avoid plagiarism","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Criticism; Class (philosophy); Cheating; Constructive; Mathematics education; Psychology; Pedagogy; Test (biology); Sociology; Computer science; Political science; Social psychology","score_opus":0.08998237246836117,"score_gpt":0.2808323116461741,"score_spread":0.19084993917781296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164248983","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65203124,0.004001753,0.21089208,0.025693366,0.00095898914,0.00094442314,0.00009381417,0.0038375154,0.101546824],"genre_scores_gemma":[0.9439312,0.0004993214,0.044704106,0.0014179316,0.00016024055,0.00018362458,0.000055656306,0.00025128177,0.008796698],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9812779,0.012357655,0.00063457363,0.001362494,0.003449484,0.00091791037],"domain_scores_gemma":[0.89948136,0.06834904,0.007025793,0.010615371,0.009192,0.0053364],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.018730504,0.0006557722,0.0007548044,0.0018438157,0.0033032794,0.007583328,0.0017090775,0.0027472654,0.008041761],"category_scores_gemma":[0.06837185,0.00041930663,0.0005079086,0.001042102,0.004697757,0.0067407233,0.00815687,0.00353966,0.002712669],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005847044,0.0034108162,0.018240096,0.0017274469,0.0000902452,0.0008130608,0.12548165,0.0013229238,0.01641552,0.025016569,0.017839402,0.7890576],"study_design_scores_gemma":[0.0009999817,0.0037924217,0.08842325,0.005023505,0.00032919052,0.0043403893,0.11815455,0.011496275,0.0647046,0.24053206,0.46181047,0.00039330625],"about_ca_topic_score_codex":0.00040310808,"about_ca_topic_score_gemma":0.00083347136,"teacher_disagreement_score":0.99725276,"about_ca_system_score_codex":0.0021694738,"about_ca_system_score_gemma":0.003473159,"threshold_uncertainty_score":0.099057555},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["research_integrity"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W3164815944","doi":"10.17239/l1esll-2021.21.01.07","title":"The revision of syntactic errors related to complex sentences in French L1: strategies of secondary school advanced writers","year":2021,"lang":"en","type":"article","venue":"L1 Educational Studies in Language and Literature","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Grammaticality; Syntax; Context (archaeology); Linguistics; Computer science; Think aloud protocol; Salient; Psychology; Cognition; Natural language processing; Artificial intelligence; Grammar; History; Philosophy","score_opus":0.015840453870229722,"score_gpt":0.33489663422044136,"score_spread":0.31905618035021166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164815944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990814,0.00010696733,0.0002697514,0.000021638712,0.0000017479873,0.000009034674,0.000008857367,0.00001047507,0.000490131],"genre_scores_gemma":[0.9980457,0.0001271869,0.00067727687,0.000027399203,0.0000053656163,0.000011799533,0.000027604594,0.0000076012384,0.0010701274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985549,0.0006856627,0.00014509527,0.00020344225,0.00027104418,0.00013986224],"domain_scores_gemma":[0.98935425,0.005536349,0.002530104,0.0006252302,0.001344937,0.000609136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001544374,0.000589936,0.00040303986,0.0015420347,0.0007706412,0.0017687391,0.0003691396,0.0009059643,0.0012634306],"category_scores_gemma":[0.015017696,0.00023741878,0.00019523692,0.0004152881,0.001060261,0.00083754235,0.0008086066,0.00048375293,0.00049006613],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060841686,0.00075976027,0.4609527,0.00036118872,0.0000518176,0.005063038,0.28234193,0.0004874444,0.062460985,0.00043570733,0.00044938686,0.18602759],"study_design_scores_gemma":[0.00006466581,0.0019366175,0.8556003,0.00013939563,0.00008678655,0.01167166,0.09541024,0.0024065766,0.023084601,0.0010665673,0.008361046,0.00017145823],"about_ca_topic_score_codex":0.002700412,"about_ca_topic_score_gemma":0.003131141,"teacher_disagreement_score":0.002700412,"about_ca_system_score_codex":0.0004554954,"about_ca_system_score_gemma":0.00038951845,"threshold_uncertainty_score":0.008167505},"labels":[],"label_agreement":null},{"id":"W3179000338","doi":"10.48550/arxiv.2107.04268","title":"Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Readability; Computer science; Complement (music); Artificial intelligence; Natural language processing; Embedding; Graph; Correlation; Task (project management); Artificial neural network; Deep learning; Machine learning; Theoretical computer science; Mathematics","score_opus":0.050591787988661215,"score_gpt":0.22447759298153833,"score_spread":0.17388580499287712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179000338","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17456959,0.00069071003,0.817441,0.00030815168,0.00005787133,0.00006974167,0.00143008,0.0034515464,0.0019812798],"genre_scores_gemma":[0.85674644,0.0002833791,0.13561934,0.0000987674,0.000042800213,0.00013229137,0.004100612,0.00021962468,0.002756817],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993907,0.00024837125,0.00003156217,0.00017850383,0.00010165421,0.00004917622],"domain_scores_gemma":[0.998069,0.0010050995,0.00026309557,0.00029934113,0.00030869746,0.000054822816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060233026,0.00088081317,0.0005787142,0.0020294394,0.00023393141,0.00062026177,0.0007200313,0.0007987837,0.0017039696],"category_scores_gemma":[0.0039054074,0.00025350996,0.00065384636,0.0017981054,0.0004226567,0.0018195385,0.00079492544,0.0010104582,0.0008784583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051204953,0.00049890234,0.016406402,0.00034372954,0.0003061728,0.00033157054,0.00029712808,0.19333443,0.02409407,0.014831592,0.011388346,0.73765564],"study_design_scores_gemma":[0.000011141932,0.0000646844,0.0027807667,0.000013038966,0.00002926114,0.000055549335,0.000039368522,0.9755976,0.0039830822,0.016420785,0.0009859623,0.0000187551],"about_ca_topic_score_codex":0.0037403852,"about_ca_topic_score_gemma":0.005566466,"teacher_disagreement_score":0.0037403852,"about_ca_system_score_codex":0.0005614437,"about_ca_system_score_gemma":0.00051237096,"threshold_uncertainty_score":0.0074371696},"labels":[],"label_agreement":null},{"id":"W3183940262","doi":"10.1561/1100000089","title":"Readability Research: An Interdisciplinary Approach","year":2022,"lang":"en","type":"article","venue":"Foundations and Trends® in Human–Computer Interaction","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Readability; Data science; Computer science; Information retrieval; Programming language","score_opus":0.17077772098894595,"score_gpt":0.4425319273195456,"score_spread":0.27175420633059966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183940262","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013100904,0.84169865,0.08462614,0.016678559,0.0011213702,0.00039854253,0.00030423308,0.00019837315,0.041873258],"genre_scores_gemma":[0.17102756,0.71791744,0.091204844,0.00556535,0.0030497462,0.0013655779,0.00044029823,0.00019442083,0.009234779],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9787906,0.012034128,0.0017316646,0.0026693672,0.0044298116,0.00034453455],"domain_scores_gemma":[0.9251301,0.06327845,0.0025628745,0.002938253,0.0055011213,0.0005892455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02259354,0.0016439627,0.0029713828,0.023721837,0.001309249,0.012336791,0.0030219017,0.0035216308,0.0041934513],"category_scores_gemma":[0.036868423,0.0006782677,0.0011434305,0.014673904,0.011033616,0.014108963,0.004683545,0.0035542517,0.000859452],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082984865,0.0002933149,0.006526746,0.01927732,0.00044142423,0.00031210197,0.021006765,0.0014805543,0.0026222228,0.3447016,0.009269487,0.59398544],"study_design_scores_gemma":[0.000034131994,0.00048426967,0.020902904,0.030501753,0.000395668,0.001365313,0.025957178,0.0026402166,0.0030293567,0.522753,0.39175743,0.0001788206],"about_ca_topic_score_codex":0.0020229858,"about_ca_topic_score_gemma":0.0017189435,"teacher_disagreement_score":0.023721837,"about_ca_system_score_codex":0.0046952716,"about_ca_system_score_gemma":0.004224228,"threshold_uncertainty_score":0.119487524},"labels":[],"label_agreement":null},{"id":"W3186632741","doi":"10.18653/v1/2021.semeval-1.83","title":"UNBNLP at SemEval-2021 Task 1: Predicting lexical complexity with masked language models and character-level encoders","year":2021,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Character (mathematics); Encoder; SemEval; Artificial intelligence; Natural language processing; Task (project management); Context (archaeology); Security token; Language model; Mathematics","score_opus":0.06418587855620984,"score_gpt":0.2623062474996264,"score_spread":0.19812036894341656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186632741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5517516,0.0033771135,0.2479788,0.002037785,0.0016719025,0.0014040583,0.04872493,0.117966875,0.025086982],"genre_scores_gemma":[0.6477876,0.0003631311,0.22570302,0.0007855429,0.00027690138,0.0012084611,0.10495379,0.003285082,0.015636513],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974986,0.0009441388,0.00017202072,0.0008421307,0.00034694123,0.00019606508],"domain_scores_gemma":[0.9925788,0.0041298717,0.00029036723,0.0015264134,0.0011699623,0.0003046048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030571567,0.0029743891,0.0014663348,0.0011029993,0.0007637005,0.0020207807,0.0023961915,0.002280733,0.015208975],"category_scores_gemma":[0.011663895,0.00067769556,0.0012048085,0.0007458413,0.00045442462,0.0043083136,0.0023882838,0.0026602964,0.010827152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030625628,0.0014536883,0.0117552355,0.0012854987,0.00047682607,0.0008850755,0.00048758465,0.029785508,0.06222213,0.0036075523,0.16453014,0.72044826],"study_design_scores_gemma":[0.0005871485,0.0011109016,0.015676387,0.00016327451,0.00023121599,0.00092197815,0.00042928298,0.84641683,0.08642541,0.009910541,0.03789083,0.0002361803],"about_ca_topic_score_codex":0.006131934,"about_ca_topic_score_gemma":0.009583578,"teacher_disagreement_score":0.015208975,"about_ca_system_score_codex":0.00104238,"about_ca_system_score_gemma":0.0013428881,"threshold_uncertainty_score":0.05087912},"labels":[],"label_agreement":null},{"id":"W3196454181","doi":"10.7820/vli.v08.1.pinchbeck","title":"Validating the construct of readability in EFL contexts: A proposal for criteria","year":2019,"lang":"en","type":"article","venue":"Vocabulary Learning and Instruction","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Readability; Construct (python library); Computer science; Psychology; Linguistics; Natural language processing; Programming language; Philosophy","score_opus":0.010968339778973272,"score_gpt":0.2677708520025041,"score_spread":0.25680251222353084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196454181","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39960974,0.0018405196,0.523079,0.006380825,0.00040812296,0.00522763,0.00087045645,0.00090510474,0.061678708],"genre_scores_gemma":[0.8052281,0.00016701825,0.18870226,0.00034433935,0.00009601301,0.0038657817,0.00052648,0.00015501693,0.0009149773],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9291843,0.039153192,0.011369391,0.0052642617,0.0134737985,0.00155509],"domain_scores_gemma":[0.6967593,0.18477584,0.021894235,0.02632156,0.067256264,0.0029928754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08787927,0.0011445578,0.0013952951,0.013017059,0.0030633206,0.0058915745,0.0037334065,0.0020062698,0.0016569124],"category_scores_gemma":[0.28805655,0.0005561543,0.0017371468,0.008256751,0.013285115,0.011805942,0.0069875843,0.0025847147,0.0005390042],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009301573,0.0010465467,0.29678312,0.0020292774,0.00044827248,0.0004351453,0.058420848,0.0034716458,0.0061339494,0.23958354,0.005275185,0.3854423],"study_design_scores_gemma":[0.00051395653,0.003846768,0.4097274,0.0027941177,0.0006202832,0.0008758431,0.05216435,0.0512885,0.022026736,0.4051503,0.050285928,0.000705881],"about_ca_topic_score_codex":0.0056987293,"about_ca_topic_score_gemma":0.004575738,"teacher_disagreement_score":0.08787927,"about_ca_system_score_codex":0.004772112,"about_ca_system_score_gemma":0.0056767864,"threshold_uncertainty_score":0.46475554},"labels":[],"label_agreement":null},{"id":"W3205584125","doi":"10.64152/10125/67407","title":"Research Investigating Lexical Coverage and Lexical Profiling: What We Know, What We Don’t Know, and What Needs to be Examined","year":2021,"lang":"en","type":"article","venue":"Reading in a Foreign Language","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Need to know; Profiling (computer programming); Psychology; Linguistics; Natural language processing; Computer science","score_opus":0.06034828346412041,"score_gpt":0.3346003613303287,"score_spread":0.2742520778662083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205584125","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11621964,0.6840968,0.0067124204,0.16859725,0.002358111,0.00038960128,0.00052668527,0.0001224959,0.020977011],"genre_scores_gemma":[0.5141335,0.4241935,0.01355597,0.040525667,0.0032531486,0.0010129557,0.0006578743,0.00014515323,0.0025221808],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9704707,0.014631319,0.002915008,0.004258015,0.0059110573,0.0018139278],"domain_scores_gemma":[0.6064059,0.30923957,0.026989322,0.016481021,0.035156786,0.0057273624],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05962844,0.0011821605,0.0038962602,0.0057503176,0.0041830684,0.013181233,0.004621533,0.006103168,0.007871589],"category_scores_gemma":[0.15969166,0.0019799336,0.0018148248,0.008315794,0.0150988065,0.05845054,0.005024069,0.006157099,0.0021752932],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003692006,0.0010465668,0.07997216,0.050381716,0.00088961696,0.0005591818,0.07083692,0.00023841338,0.0014203638,0.026881522,0.018841874,0.74856246],"study_design_scores_gemma":[0.00016209255,0.0011115323,0.20587733,0.19525094,0.0018536655,0.0026582407,0.32517463,0.0010662638,0.0031827262,0.1156537,0.14758731,0.00042159666],"about_ca_topic_score_codex":0.016962659,"about_ca_topic_score_gemma":0.023985682,"teacher_disagreement_score":0.9403716,"about_ca_system_score_codex":0.0055814786,"about_ca_system_score_gemma":0.017924368,"threshold_uncertainty_score":0.3153491},"labels":[],"label_agreement":null},{"id":"W4205266265","doi":"10.46451/ijts.2021.12.01","title":"TESOL in the New Era: Introduction to the 2021 Global English Education China Assembly Special Issue","year":2021,"lang":"en","type":"article","venue":"International Journal of TESOL Studies","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"Shenzhen University; Beijing Language and Culture University; Soochow University; Guangdong University of Foreign Studies; Tongji University; Loyola University Chicago; Beijing Normal University; University of South Australia; Northeast Normal University","keywords":"China; Political science; Engineering ethics; Mathematics education; Library science; History; Engineering; Computer science; Psychology; Law","score_opus":0.013780956982584391,"score_gpt":0.31731800734391247,"score_spread":0.30353705036132805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205266265","genre_codex":"commentary","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01093855,0.11010093,0.0021511815,0.4367027,0.1817593,0.0003007727,0.0013188648,0.00044242485,0.2562853],"genre_scores_gemma":[0.08500843,0.0690979,0.0028266646,0.04424074,0.05430151,0.0005137768,0.0023074844,0.0005817111,0.7411218],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99844885,0.00024040512,0.00008151494,0.00013230123,0.0006789016,0.00041791706],"domain_scores_gemma":[0.99595046,0.00043893876,0.00015102989,0.00012474276,0.0011684735,0.0021662703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037175755,0.00067705323,0.0004905176,0.0024294667,0.004207087,0.0076110726,0.0011469132,0.002814514,0.048592445],"category_scores_gemma":[0.003177272,0.0003024522,0.00048365333,0.002745326,0.003178269,0.0062635564,0.005585169,0.005215725,0.0067519033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021653543,0.00003597599,0.0007117109,0.00030246106,0.0000037171003,0.00015766552,0.0034119291,0.00007091972,0.00028958445,0.026007717,0.90572524,0.06326147],"study_design_scores_gemma":[0.0000017099362,0.000009360028,0.0015947034,0.00017317187,0.0000011055117,0.000037307378,0.001810781,0.000027973132,0.000049076818,0.0009074448,0.9953799,0.000007560395],"about_ca_topic_score_codex":0.021755913,"about_ca_topic_score_gemma":0.05107184,"teacher_disagreement_score":0.048592445,"about_ca_system_score_codex":0.008300676,"about_ca_system_score_gemma":0.013357247,"threshold_uncertainty_score":0.16255796},"labels":[],"label_agreement":null},{"id":"W4211253469","doi":"10.1108/jet-04-2021-0020","title":"Editing assistance tool validation for English language learners","year":2022,"lang":"en","type":"article","venue":"Journal of Enabling Technologies","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Spelling; Computer science; Grammar; Punctuation; Ell; Natural language processing; Artificial intelligence; Teaching method; Psychology; Mathematics education; Linguistics; Vocabulary development","score_opus":0.02279043390278417,"score_gpt":0.26912191857950185,"score_spread":0.24633148467671767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211253469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825189,0.00044255465,0.010839825,0.0003083163,0.00008286319,0.0008013732,0.00016303966,0.00042401662,0.004419161],"genre_scores_gemma":[0.9514153,0.00044852885,0.042545374,0.00027460518,0.000027895521,0.001304652,0.00036870845,0.00016606969,0.0034487445],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98054,0.010645918,0.0023134176,0.0014245023,0.0043170317,0.00075915403],"domain_scores_gemma":[0.83956265,0.08978529,0.011099667,0.009543268,0.047252536,0.0027565856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03202037,0.0006873102,0.0007417412,0.0015560582,0.0011100301,0.0024968977,0.0015184806,0.00063945743,0.003075551],"category_scores_gemma":[0.15663931,0.0003667925,0.00072243944,0.0006540493,0.0008409034,0.0022692226,0.0025979993,0.0010767074,0.0012859403],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020857004,0.002521214,0.27404645,0.0016903529,0.00014298117,0.0011702689,0.09331252,0.0008417666,0.023513576,0.00090326293,0.0047060447,0.5950659],"study_design_scores_gemma":[0.00055899017,0.013219909,0.61029804,0.005678588,0.0005425217,0.0047006737,0.12421621,0.013517094,0.12404689,0.0034852263,0.09924514,0.0004908277],"about_ca_topic_score_codex":0.0016091374,"about_ca_topic_score_gemma":0.0026763042,"teacher_disagreement_score":0.03202037,"about_ca_system_score_codex":0.000953727,"about_ca_system_score_gemma":0.0028329417,"threshold_uncertainty_score":0.16934198},"labels":[],"label_agreement":null},{"id":"W4213010795","doi":"10.1352/1944-7558-126.1.75","title":"Résumés en Français","year":2020,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Information retrieval; Download; World Wide Web; Programming language","score_opus":0.047592453534489626,"score_gpt":0.2646375348734983,"score_spread":0.21704508133900866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213010795","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007066398,0.028892444,0.0033807661,0.025816983,0.04566575,0.00036913296,0.0099671325,0.0011515649,0.8776898],"genre_scores_gemma":[0.013536211,0.00921548,0.0013453536,0.0030004801,0.002699741,0.00012703978,0.0040396494,0.0004884826,0.9655475],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99806255,0.00042704027,0.00021898493,0.0003771389,0.0006285249,0.0002856053],"domain_scores_gemma":[0.9966839,0.0004535369,0.00026406377,0.00035609232,0.0013119545,0.0009305431],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016845263,0.0013175068,0.0009644452,0.0024027606,0.0029436608,0.005460748,0.0015853484,0.0023712092,0.58218884],"category_scores_gemma":[0.006067587,0.00039988803,0.0006451338,0.0027778284,0.0012848955,0.0034392981,0.003653962,0.0022762073,0.36269692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018937151,0.000084009705,0.0014807173,0.0007450436,0.000022966165,0.0007045067,0.0008233215,0.00014627539,0.0008884452,0.019170236,0.72868246,0.24706262],"study_design_scores_gemma":[0.0000049899,0.000015221405,0.00043180896,0.00013878154,0.0000022022466,0.00018642642,0.0001536554,0.000018952705,0.00008253394,0.0005602193,0.99840003,0.0000051145685],"about_ca_topic_score_codex":0.0086214105,"about_ca_topic_score_gemma":0.009540794,"teacher_disagreement_score":0.58218884,"about_ca_system_score_codex":0.002199237,"about_ca_system_score_gemma":0.0047762017,"threshold_uncertainty_score":0.5959569},"labels":[],"label_agreement":null},{"id":"W4224272003","doi":"10.1352/1944-7558-127.3.264","title":"Résumés en Français","year":2022,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.03253244248008126,"score_gpt":0.2609031443318721,"score_spread":0.22837070185179087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224272003","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009835832,0.19988327,0.0046635955,0.034117006,0.05552708,0.00071378116,0.038782775,0.0011982587,0.6552784],"genre_scores_gemma":[0.04492018,0.116950296,0.005427969,0.013586349,0.007306883,0.00077690254,0.028444612,0.0012610126,0.7813258],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99657756,0.0011883695,0.00051726284,0.0004938766,0.00088393345,0.00033901227],"domain_scores_gemma":[0.99425656,0.0014468669,0.00057973864,0.0005826336,0.002349301,0.00078504416],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036919161,0.001475728,0.0014708478,0.004107797,0.0024245982,0.0059324726,0.0018821598,0.0019495961,0.42673448],"category_scores_gemma":[0.01474776,0.0005023542,0.0013254427,0.007107615,0.0012400883,0.0042007556,0.003116507,0.0024351373,0.15962271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004406316,0.00007794933,0.0021691748,0.00508058,0.00017053664,0.00039425082,0.0010413612,0.00019496879,0.00042552824,0.018588588,0.6630685,0.30834794],"study_design_scores_gemma":[0.000019735633,0.000030996114,0.0010102605,0.0013931164,0.000027999611,0.00014167237,0.00027559145,0.000017724042,0.0000812015,0.0009080063,0.9960828,0.000010887054],"about_ca_topic_score_codex":0.01777592,"about_ca_topic_score_gemma":0.020404179,"teacher_disagreement_score":0.42673448,"about_ca_system_score_codex":0.0028688195,"about_ca_system_score_gemma":0.008358375,"threshold_uncertainty_score":0.8176937},"labels":[],"label_agreement":null},{"id":"W4226024717","doi":"10.1037/xlm0001119","title":"A reexamination of the impact of morphology on transposed character priming effects.","year":2022,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Learning Memory and Cognition","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Morpheme; Priming (agriculture); Psychology; Character (mathematics); Linguistics; Lexical decision task; Repetition priming; Communication; Mathematics; Cognition; Biology; Neuroscience; Philosophy","score_opus":0.020197376580676007,"score_gpt":0.31514183035548443,"score_spread":0.29494445377480843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226024717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94882774,0.0026726692,0.0111559685,0.002934446,0.0004058956,0.0005778124,0.00065977324,0.00032494773,0.03244069],"genre_scores_gemma":[0.98338276,0.0012350489,0.008457193,0.0021004982,0.00012788756,0.00026348146,0.00025979118,0.00013872098,0.004034607],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994242,0.00011944326,0.00008033937,0.00021482019,0.00011916201,0.000042050986],"domain_scores_gemma":[0.9947326,0.0033333444,0.00053159834,0.0008773666,0.00042045355,0.000104623534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020826545,0.00058899156,0.0004005914,0.00047143898,0.00042629175,0.00080942456,0.0010894113,0.00061511976,0.0063832197],"category_scores_gemma":[0.007738441,0.00027804184,0.00060504896,0.00043861617,0.0017750037,0.0021216937,0.0009367017,0.0016572216,0.00072343973],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003163661,0.00062291423,0.011734501,0.0027797266,0.00016604466,0.0015279066,0.0069186767,0.00023719583,0.8329226,0.015833639,0.0019369131,0.1221563],"study_design_scores_gemma":[0.0004858933,0.0032807924,0.40987876,0.00052710087,0.001158773,0.0032929073,0.0029726648,0.0026849487,0.50683045,0.023951996,0.044811256,0.00012440156],"about_ca_topic_score_codex":0.0035819393,"about_ca_topic_score_gemma":0.004240582,"teacher_disagreement_score":0.0063832197,"about_ca_system_score_codex":0.00052095955,"about_ca_system_score_gemma":0.00075777154,"threshold_uncertainty_score":0.02135396},"labels":[],"label_agreement":null},{"id":"W4229722991","doi":"10.1352/1944-7558-122.4.354","title":"Résumés en Français","year":2017,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.0464597806764474,"score_gpt":0.2915915235032005,"score_spread":0.2451317428267531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229722991","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01581065,0.024370918,0.002784753,0.01695817,0.0246455,0.00038077054,0.019132178,0.0010470346,0.8948699],"genre_scores_gemma":[0.02076848,0.0074773817,0.0013355965,0.002012014,0.0013370705,0.00015243184,0.0064676516,0.00044077,0.96000874],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978313,0.00050027395,0.00022704672,0.00042274426,0.00070436916,0.0003141979],"domain_scores_gemma":[0.99654764,0.0004338037,0.00028557432,0.00038923236,0.0014984357,0.0008453706],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018425969,0.0012330561,0.00095527904,0.0029687933,0.0035700407,0.006006382,0.0014410926,0.0017209133,0.4902126],"category_scores_gemma":[0.006071355,0.00041436314,0.0006498518,0.004380427,0.0011564576,0.0036203694,0.0034114283,0.001974586,0.28372756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023269426,0.00012104725,0.004468895,0.0008683808,0.000035155474,0.00072719704,0.0021814995,0.00017562993,0.00085203495,0.028131302,0.71119994,0.25100625],"study_design_scores_gemma":[0.0000060203506,0.000019929752,0.0014020253,0.00016910929,0.0000034369002,0.00015345651,0.00044414363,0.000021161544,0.000087391614,0.0006244308,0.9970611,0.000007748218],"about_ca_topic_score_codex":0.018242868,"about_ca_topic_score_gemma":0.021090724,"teacher_disagreement_score":0.50978744,"about_ca_system_score_codex":0.0027477671,"about_ca_system_score_gemma":0.005889396,"threshold_uncertainty_score":0.72714984},"labels":[],"label_agreement":null},{"id":"W4229836027","doi":"10.1075/bct.61.07lan","title":"Texto4Science","year":2014,"lang":"en","type":"book-chapter","venue":"Benjamins current topics","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Period (music); Library science; Geography; History; Computer science; Art","score_opus":0.04848193635037118,"score_gpt":0.27505699262660915,"score_spread":0.22657505627623797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229836027","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008513566,0.007464065,0.025466288,0.0031367668,0.001852801,0.0005454622,0.49288872,0.052636947,0.40749538],"genre_scores_gemma":[0.026273249,0.003064785,0.017790088,0.0010615644,0.00054959307,0.00052990165,0.4745479,0.012370849,0.46381214],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99928635,0.0000886459,0.000032485383,0.000116429415,0.0003907266,0.000085343716],"domain_scores_gemma":[0.99795735,0.00047277656,0.00009037044,0.00037078356,0.00082415604,0.00028443962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010152594,0.0010200945,0.00081362744,0.005681221,0.0017337252,0.0034707533,0.0016864882,0.0010605615,0.18875882],"category_scores_gemma":[0.0038528626,0.0005170578,0.00043989092,0.0073661287,0.00054821034,0.0033404357,0.0015067481,0.0010601181,0.07135108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011259796,0.000016470452,0.000593184,0.00038883227,0.000009583923,0.00010620275,0.00041522103,0.00017689564,0.0013005286,0.0054463567,0.88752747,0.10390654],"study_design_scores_gemma":[0.0000069931834,0.000005418182,0.00077261863,0.000049134193,0.0000017969231,0.00005875777,0.00006956974,0.00025854626,0.00033469129,0.00045110864,0.9979825,0.000008908595],"about_ca_topic_score_codex":0.16794153,"about_ca_topic_score_gemma":0.27947882,"teacher_disagreement_score":0.18875882,"about_ca_system_score_codex":0.004280671,"about_ca_system_score_gemma":0.0042838715,"threshold_uncertainty_score":0.63146114},"labels":[],"label_agreement":null},{"id":"W4229961377","doi":"10.1352/1944-7558-123.2.189","title":"Résumés en Français","year":2018,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.03532833154366792,"score_gpt":0.2766916632806961,"score_spread":0.24136333173702818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229961377","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073567443,0.019975515,0.0023557893,0.017074212,0.031556975,0.00032160204,0.009372462,0.00085417234,0.91113245],"genre_scores_gemma":[0.011559271,0.0057728766,0.0008529199,0.0016067723,0.0014588826,0.00009037702,0.0030745158,0.00030091472,0.97528344],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99849105,0.00031999583,0.00014575919,0.0003136022,0.00048535634,0.00024412815],"domain_scores_gemma":[0.99784315,0.0002401617,0.00015753134,0.00024502413,0.0008700374,0.00064419623],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013379373,0.0012955564,0.0008722795,0.0021823177,0.0031488575,0.0049367133,0.0014443755,0.0019293873,0.596878],"category_scores_gemma":[0.004140168,0.0003719674,0.00059188576,0.0026239294,0.0011422117,0.002988886,0.0033297737,0.0019292064,0.37308285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001892117,0.00009457387,0.0016640305,0.0006021962,0.00002231472,0.0005899666,0.00090356835,0.00017291176,0.00084563193,0.023095682,0.74573696,0.22608294],"study_design_scores_gemma":[0.0000045280217,0.000015974792,0.00054394564,0.00010616839,0.0000018432019,0.00011511343,0.00016514544,0.000020472504,0.000074354226,0.0004917294,0.99845624,0.0000045303973],"about_ca_topic_score_codex":0.011567681,"about_ca_topic_score_gemma":0.013691358,"teacher_disagreement_score":0.596878,"about_ca_system_score_codex":0.0022897697,"about_ca_system_score_gemma":0.0041781194,"threshold_uncertainty_score":0.5750046},"labels":[],"label_agreement":null},{"id":"W4230188865","doi":"10.1352/1944-7558-123.3.300","title":"Résumés en Français","year":2018,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; World Wide Web; Information retrieval; Programming language","score_opus":0.03532833154366792,"score_gpt":0.2766916632806961,"score_spread":0.24136333173702818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230188865","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008959677,0.022359625,0.0024506578,0.022020014,0.036326487,0.00033193626,0.012077577,0.0010523411,0.89442176],"genre_scores_gemma":[0.01478834,0.0074243313,0.0010448459,0.0022427323,0.0018505532,0.00011270495,0.004503149,0.00041249706,0.96762085],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982414,0.00039001665,0.0001800991,0.00032427948,0.0005820311,0.00028222968],"domain_scores_gemma":[0.99702615,0.00036510776,0.00020162194,0.00029362913,0.0012911959,0.00082228845],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015427844,0.0012407753,0.0008872531,0.0025101702,0.0034731375,0.005387002,0.0014302786,0.0019271371,0.5551502],"category_scores_gemma":[0.0055115265,0.00036417338,0.00059812213,0.0030796607,0.0011658947,0.003224105,0.003418148,0.002020119,0.3153673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016695783,0.000071308474,0.0016265225,0.00067704066,0.000020083518,0.00053124304,0.0011680744,0.0001413646,0.0007191728,0.019888222,0.7882884,0.18670154],"study_design_scores_gemma":[0.000004618735,0.000016067832,0.0006656905,0.000145602,0.0000021058206,0.00012324082,0.00026264708,0.000019015042,0.000072361494,0.00046564807,0.9982175,0.000005451862],"about_ca_topic_score_codex":0.016607944,"about_ca_topic_score_gemma":0.019130776,"teacher_disagreement_score":0.4448498,"about_ca_system_score_codex":0.002726311,"about_ca_system_score_gemma":0.005701856,"threshold_uncertainty_score":0.6345242},"labels":[],"label_agreement":null},{"id":"W4230430983","doi":"10.1352/1944-7558-120.3.269","title":"Résumés en Français","year":2015,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.061060970991956474,"score_gpt":0.2826934995018871,"score_spread":0.22163252850993062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230430983","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008293781,0.032594983,0.0033214015,0.018947184,0.03842691,0.00034498432,0.011074353,0.0009144309,0.8860819],"genre_scores_gemma":[0.015845472,0.012049683,0.0015471576,0.0022554353,0.0021716482,0.00013874764,0.004926648,0.0004382501,0.960627],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99825007,0.000362803,0.00020506249,0.0003315472,0.00060251507,0.00024804592],"domain_scores_gemma":[0.99748874,0.0003422273,0.0001999107,0.000291377,0.0010834418,0.00059436087],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014755151,0.0013667849,0.0008975818,0.0027994476,0.0029665611,0.0053199613,0.0015424003,0.0019561918,0.47476834],"category_scores_gemma":[0.0052420706,0.00041396832,0.0006581336,0.0036114273,0.0011836478,0.0034895241,0.0034379552,0.0020249123,0.26572588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002069602,0.00008277267,0.0018406395,0.00092935254,0.000027418278,0.0007328813,0.0014123167,0.00019651545,0.001016079,0.027547251,0.7036158,0.262392],"study_design_scores_gemma":[0.0000040644086,0.000013903452,0.0005210221,0.00015378943,0.0000024875887,0.00014232883,0.0002173344,0.000017884406,0.00009076562,0.0005871477,0.99824405,0.00000532881],"about_ca_topic_score_codex":0.014722741,"about_ca_topic_score_gemma":0.01571437,"teacher_disagreement_score":0.52523166,"about_ca_system_score_codex":0.0025850392,"about_ca_system_score_gemma":0.0051124995,"threshold_uncertainty_score":0.74917924},"labels":[],"label_agreement":null},{"id":"W4231287158","doi":"10.1352/1944-7558-117.5.435","title":"Résumés en Français","year":2012,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Information retrieval; Download; World Wide Web; Programming language","score_opus":0.03992681201984083,"score_gpt":0.2749049892730803,"score_spread":0.2349781772532395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231287158","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007174027,0.020433953,0.002136754,0.01946612,0.032211762,0.0002982233,0.0101940045,0.00079646625,0.9072887],"genre_scores_gemma":[0.015152057,0.008351935,0.0010316636,0.0024546282,0.0017719516,0.00012641333,0.0042776605,0.000401296,0.9664325],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99778265,0.0005042331,0.00022192512,0.00038226775,0.0007411811,0.00036777934],"domain_scores_gemma":[0.996287,0.0004235683,0.00024772796,0.00039035638,0.0016947709,0.00095653883],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018978348,0.0013116485,0.0009242143,0.0028888062,0.0040776287,0.0062728235,0.001653355,0.0021485342,0.53168654],"category_scores_gemma":[0.006416972,0.00039332555,0.00062464917,0.0042591244,0.0013270065,0.0039258804,0.003708907,0.00217482,0.30787015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015801778,0.00007850644,0.0017500283,0.0007719013,0.00002067601,0.00048820567,0.0015026863,0.00013160815,0.00066486164,0.022763958,0.79580635,0.17586322],"study_design_scores_gemma":[0.0000038214744,0.0000132102205,0.0005924313,0.0001475651,0.0000021314663,0.00009072202,0.00034168654,0.000015174232,0.00006198592,0.00042945694,0.99829656,0.0000053450826],"about_ca_topic_score_codex":0.021775864,"about_ca_topic_score_gemma":0.023928044,"teacher_disagreement_score":0.53168654,"about_ca_system_score_codex":0.0031472265,"about_ca_system_score_gemma":0.007333684,"threshold_uncertainty_score":0.6679923},"labels":[],"label_agreement":null},{"id":"W4231939881","doi":"10.1352/1934-9556-53.6.441","title":"Résumés en Français","year":2015,"lang":"fr","type":"article","venue":"Intellectual and developmental disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Download; Computer science; World Wide Web; Information retrieval","score_opus":0.09478286869654018,"score_gpt":0.2827716178574192,"score_spread":0.18798874916087904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231939881","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016002534,0.0099802455,0.0010403652,0.0076416074,0.008766892,0.000272746,0.030031076,0.000514941,0.92574954],"genre_scores_gemma":[0.024118967,0.0047944933,0.0006360188,0.0010185344,0.00045487343,0.00012986586,0.010465811,0.0002540081,0.9581273],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865544,0.00027738864,0.00014771757,0.00020494123,0.00039617848,0.00031822087],"domain_scores_gemma":[0.9979875,0.00020319739,0.00017003168,0.00018427972,0.0010103123,0.00044476154],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011319488,0.0010882139,0.0006907959,0.0025021394,0.004080808,0.0042565204,0.0011641352,0.0010313758,0.46279523],"category_scores_gemma":[0.003814347,0.00028799928,0.00040667446,0.005358831,0.00086683384,0.0022187815,0.0023575411,0.0012172664,0.22007607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015335616,0.000078908175,0.0036517512,0.0006788917,0.00002123335,0.00043694707,0.0018727416,0.0001218862,0.0005763218,0.019135393,0.8359417,0.13733095],"study_design_scores_gemma":[0.000004531504,0.000014507551,0.002567909,0.00013627537,0.000002030712,0.000064512846,0.000591831,0.000016539521,0.00005773807,0.00026127955,0.99627644,0.000006462322],"about_ca_topic_score_codex":0.07726079,"about_ca_topic_score_gemma":0.08862485,"teacher_disagreement_score":0.53720474,"about_ca_system_score_codex":0.0030347665,"about_ca_system_score_gemma":0.006631013,"threshold_uncertainty_score":0.7662574},"labels":[],"label_agreement":null},{"id":"W4233949603","doi":"10.26522/ti.v2i1.741","title":"Braille 1","year":2013,"lang":"en","type":"article","venue":"ti<","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Braille; Computer science; Operating system","score_opus":0.008663149444903994,"score_gpt":0.1970102448804729,"score_spread":0.1883470954355689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233949603","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019390917,0.0018487131,0.04790779,0.003334922,0.0036208075,0.00013939255,0.0029183207,0.018181773,0.9201091],"genre_scores_gemma":[0.017826693,0.0010340782,0.023486067,0.0016614919,0.00055235263,0.00012245955,0.0043842937,0.008300629,0.9426321],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99769104,0.00026824189,0.00012992007,0.0004077496,0.0013236171,0.00017951363],"domain_scores_gemma":[0.99708396,0.00060706225,0.00012494656,0.0005762657,0.0013594372,0.000248412],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009567277,0.001312607,0.00076304463,0.0031851241,0.0017463114,0.004723058,0.0018683217,0.0017453266,0.4714338],"category_scores_gemma":[0.0064078607,0.00061354117,0.0007363429,0.0021784657,0.00088448625,0.004496508,0.002818127,0.0030608997,0.2752389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012409224,0.000049922903,0.00017763769,0.00028715198,0.000008248674,0.00011556503,0.00031524964,0.00028337896,0.004723003,0.04956597,0.5987494,0.34560046],"study_design_scores_gemma":[0.000010337852,0.000019520712,0.00016234876,0.00006967878,0.000004836099,0.0001775217,0.00006545873,0.00036558232,0.001668265,0.0069295103,0.99050456,0.00002242727],"about_ca_topic_score_codex":0.003878442,"about_ca_topic_score_gemma":0.008168308,"teacher_disagreement_score":0.52856624,"about_ca_system_score_codex":0.0010877578,"about_ca_system_score_gemma":0.0013264157,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4234480813","doi":"10.26522/ti.v2i1.742","title":"Braille 2","year":2013,"lang":"en","type":"article","venue":"ti<","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Braille; Computer science; Operating system","score_opus":0.008135870919932427,"score_gpt":0.19622989942085445,"score_spread":0.18809402850092202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234480813","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002159547,0.0009542036,0.09343932,0.0012410778,0.0019525341,0.00019231971,0.007862735,0.056309562,0.8358886],"genre_scores_gemma":[0.02396803,0.0006690932,0.049873173,0.0012124626,0.0004062089,0.00026954932,0.016993504,0.027104327,0.8795037],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979183,0.0002109255,0.00013709432,0.00038591793,0.0011788592,0.00016885645],"domain_scores_gemma":[0.9975649,0.00049908785,0.00008435146,0.0006243297,0.001031875,0.00019552876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008499516,0.0015544291,0.00091054564,0.002849781,0.0012236277,0.004411001,0.0018859269,0.0015419958,0.5220168],"category_scores_gemma":[0.004975929,0.0008029038,0.00095695053,0.0021112473,0.0005880876,0.0038572466,0.0026815403,0.002255892,0.3254944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002029455,0.00005754308,0.00017771147,0.00040652303,0.000014602658,0.00014254278,0.0002315054,0.0005511629,0.0084462715,0.03029448,0.6176417,0.34183303],"study_design_scores_gemma":[0.000026462341,0.000022550455,0.00020531472,0.000056332472,0.000008823679,0.00021498361,0.00004400502,0.0010047138,0.0029288055,0.0058072014,0.9896488,0.000032020136],"about_ca_topic_score_codex":0.0032529659,"about_ca_topic_score_gemma":0.0056702956,"teacher_disagreement_score":0.5220168,"about_ca_system_score_codex":0.0006280683,"about_ca_system_score_gemma":0.0010551417,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4237644368","doi":"10.1352/1944-7558-121.6.564","title":"Résumés en Français","year":2016,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.03248268548073877,"score_gpt":0.26266051393124573,"score_spread":0.23017782845050697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237644368","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008428716,0.025676452,0.0019864347,0.017720353,0.030022323,0.00028602872,0.01110678,0.0007155948,0.90405726],"genre_scores_gemma":[0.014427629,0.007723143,0.00095062744,0.0020305219,0.0015746407,0.000104670995,0.0042831674,0.00033515441,0.9685704],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982672,0.0003819267,0.00016300217,0.0003300978,0.0005797105,0.00027812985],"domain_scores_gemma":[0.9973099,0.0003036674,0.00019264703,0.00026616515,0.001198314,0.00072939834],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015369745,0.0011708596,0.0009048825,0.0024565824,0.0034507546,0.0049289237,0.001334498,0.0017179324,0.5404195],"category_scores_gemma":[0.0048433454,0.0003403474,0.00057566096,0.0036387427,0.0011679205,0.0029277368,0.002995676,0.0017935017,0.28607497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021303969,0.0000937309,0.0021861123,0.0007327093,0.000025851155,0.0005725599,0.0011512248,0.00014996735,0.0008076684,0.022896565,0.7420201,0.22915049],"study_design_scores_gemma":[0.0000049902274,0.000015748781,0.0008141869,0.0001236698,0.000002254942,0.00010884541,0.00022908366,0.000015950145,0.00006619257,0.00040687821,0.99820757,0.000004705012],"about_ca_topic_score_codex":0.021294013,"about_ca_topic_score_gemma":0.023025587,"teacher_disagreement_score":0.45958048,"about_ca_system_score_codex":0.0027615381,"about_ca_system_score_gemma":0.005679446,"threshold_uncertainty_score":0.65553576},"labels":[],"label_agreement":null},{"id":"W4237746967","doi":"10.1352/1944-7558-123.6.585","title":"Résumés en Français","year":2018,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; World Wide Web; Information retrieval; Programming language","score_opus":0.03532833154366792,"score_gpt":0.2766916632806961,"score_spread":0.24136333173702818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237746967","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010305973,0.012153407,0.0015455885,0.016589059,0.016773183,0.00027373957,0.0111329295,0.0006587288,0.9305674],"genre_scores_gemma":[0.01461014,0.004198247,0.0007002575,0.0021008276,0.0007800461,0.000088703884,0.0038253495,0.00026777416,0.97342867],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99819934,0.0003828171,0.00015364314,0.0003088491,0.00057646737,0.0003788964],"domain_scores_gemma":[0.9973683,0.0002446083,0.00018624564,0.00023777944,0.0011992404,0.0007638701],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014676857,0.0010851476,0.00080870447,0.0021022693,0.0040978836,0.0048233066,0.0013062777,0.0016524753,0.5562255],"category_scores_gemma":[0.004486525,0.00033089134,0.0005662712,0.003514563,0.0011674638,0.0025058838,0.00311582,0.0017393718,0.30767426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017052171,0.00009130887,0.003212692,0.0006141385,0.000024432711,0.0006588829,0.0014916636,0.00011920899,0.0007423518,0.021087794,0.79289395,0.17889316],"study_design_scores_gemma":[0.000004884506,0.0000161782,0.0012054455,0.00011564659,0.0000021842445,0.00011140232,0.00036769113,0.000016283086,0.0000533164,0.0003475852,0.99775404,0.000005324508],"about_ca_topic_score_codex":0.040979784,"about_ca_topic_score_gemma":0.051225703,"teacher_disagreement_score":0.5562255,"about_ca_system_score_codex":0.003057468,"about_ca_system_score_gemma":0.0076685846,"threshold_uncertainty_score":0.6329905},"labels":[],"label_agreement":null},{"id":"W4238761088","doi":"10.1017/s0142716412000628","title":"Fixed-choice word-association tasks as second-language lexical tests: What native-speaker performance reveals about their potential weaknesses—CORRIGENDUM","year":2012,"lang":"en","type":"erratum","venue":"Applied Psycholinguistics","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Syntagmatic analysis; Psychology; Word Association; Regret; Association (psychology); Linguistics; Sentence; Word (group theory); Transposition (logic); Computer science","score_opus":0.02111943383475751,"score_gpt":0.2827225891372971,"score_spread":0.2616031553025396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238761088","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04466235,0.028741218,0.036992177,0.23428135,0.5494512,0.00019338536,0.005110947,0.003698767,0.096868664],"genre_scores_gemma":[0.30741003,0.0279174,0.059983775,0.08159783,0.034831934,0.00049777096,0.004521362,0.0035959114,0.479644],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978947,0.0005452142,0.00032488303,0.0002980862,0.0008497227,0.00008737056],"domain_scores_gemma":[0.9816929,0.0078752395,0.00058715895,0.001983593,0.007522468,0.0003386105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005069482,0.0010034393,0.00070652476,0.00095964444,0.0009626504,0.0024392467,0.0015498135,0.0009961374,0.01033991],"category_scores_gemma":[0.04759337,0.00035667943,0.00041073264,0.0010368332,0.0013161942,0.0018660289,0.00083830126,0.0021667206,0.007008231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001595069,0.00009741028,0.0027093128,0.0002816478,0.000032891443,0.0006886353,0.0006889341,0.00013120192,0.0026786947,0.0051755775,0.83105654,0.15629953],"study_design_scores_gemma":[0.00007097088,0.00022233045,0.057450656,0.00093598996,0.00016203865,0.0027099631,0.002635778,0.0027334976,0.015290397,0.023475444,0.8939832,0.00032976095],"about_ca_topic_score_codex":0.009548272,"about_ca_topic_score_gemma":0.034501478,"teacher_disagreement_score":0.01033991,"about_ca_system_score_codex":0.00067253195,"about_ca_system_score_gemma":0.0009739372,"threshold_uncertainty_score":0.034590483},"labels":[],"label_agreement":null},{"id":"W4239261758","doi":"10.1352/1944-7558-124.3.286","title":"Résumés en Français","year":2019,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Information retrieval; Download; World Wide Web; Programming language","score_opus":0.024980033049128787,"score_gpt":0.25661534380090545,"score_spread":0.23163531075177665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239261758","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009705033,0.017548202,0.001959419,0.013831141,0.01956919,0.000278151,0.012210615,0.0008083155,0.92408997],"genre_scores_gemma":[0.016273905,0.006213959,0.0008422918,0.001530306,0.001121222,0.00009431884,0.0044218795,0.00033738677,0.9691647],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99844956,0.00033577945,0.00015757071,0.00031895883,0.0004887641,0.00024941567],"domain_scores_gemma":[0.9975745,0.0003016306,0.00019913212,0.00027170515,0.0010488228,0.0006040548],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012336981,0.0013254541,0.0008935026,0.002484437,0.003353573,0.005050487,0.0013220771,0.0018192441,0.5872237],"category_scores_gemma":[0.004632184,0.00037363352,0.00056903076,0.0035677433,0.0011246037,0.0030200821,0.0030992564,0.0016780165,0.3621585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021231973,0.00008753872,0.002624792,0.00080102036,0.000028874145,0.000696304,0.001379231,0.00019295845,0.0008842252,0.02201308,0.7403599,0.23071985],"study_design_scores_gemma":[0.000005289689,0.000018515075,0.0010071273,0.00014786549,0.0000024744652,0.00013728937,0.0002883171,0.00002434926,0.00008180038,0.00052809995,0.9977525,0.0000064423502],"about_ca_topic_score_codex":0.017523786,"about_ca_topic_score_gemma":0.019588437,"teacher_disagreement_score":0.5872237,"about_ca_system_score_codex":0.0024450552,"about_ca_system_score_gemma":0.0045289905,"threshold_uncertainty_score":0.5887753},"labels":[],"label_agreement":null},{"id":"W4241482399","doi":"10.1249/01.mss.0000433712.56493.55","title":"E-15 Thematic Poster - Neuroscience","year":2013,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neuroscience; Thematic map; Psychology; Cartography; Geography","score_opus":0.021244762373427855,"score_gpt":0.26994404415573403,"score_spread":0.2486992817823062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241482399","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007327259,0.0035546285,0.0010416539,0.0038305798,0.0211056,0.0003479832,0.0030449326,0.0015243912,0.9648174],"genre_scores_gemma":[0.0018852768,0.0017368647,0.0005196104,0.0010452302,0.0030497375,0.0000961609,0.0018503732,0.00037295194,0.9894438],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942183,0.00006250511,0.000031721826,0.00015647165,0.00020107516,0.00012637982],"domain_scores_gemma":[0.998691,0.00008232025,0.000042105577,0.000114072776,0.00040449528,0.00066590594],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008559158,0.0018138033,0.00090370124,0.0014474494,0.001426211,0.0050626206,0.0017051803,0.0032247102,0.88856],"category_scores_gemma":[0.0012641618,0.00053652155,0.0013060215,0.0008946557,0.0004317941,0.0026868389,0.0034636457,0.0023823697,0.8056247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013594894,0.000099265846,0.00012394617,0.00024332906,0.000009187408,0.00008440538,0.000017984263,0.00005932343,0.0011713777,0.0019617917,0.9242304,0.071863115],"study_design_scores_gemma":[0.000019612542,0.000051017836,0.00037245746,0.00010726672,0.0000043029663,0.00010328813,0.000030668863,0.000039818766,0.00029696085,0.0009837758,0.997985,0.0000057324064],"about_ca_topic_score_codex":0.00065974315,"about_ca_topic_score_gemma":0.0019636098,"teacher_disagreement_score":0.88856,"about_ca_system_score_codex":0.0013255986,"about_ca_system_score_gemma":0.0014517005,"threshold_uncertainty_score":0.15895563},"labels":[],"label_agreement":null},{"id":"W4241656786","doi":"10.1352/1944-7558-120.4.371","title":"Résumés en Français","year":2015,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Information retrieval; Download; World Wide Web; Programming language","score_opus":0.061060970991956474,"score_gpt":0.2826934995018871,"score_spread":0.22163252850993062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241656786","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009283819,0.017077388,0.0023610122,0.015733276,0.026224207,0.00029896258,0.011112999,0.00090209773,0.91700625],"genre_scores_gemma":[0.014244163,0.0058780387,0.0009585051,0.0018463437,0.0013109217,0.00010141032,0.0041721724,0.00036944065,0.97111905],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983902,0.00034038734,0.0001668968,0.00032469578,0.00051059754,0.00026731173],"domain_scores_gemma":[0.9976598,0.00027505655,0.00018068778,0.00024028754,0.0009865195,0.0006577198],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012866907,0.0012311079,0.0008681047,0.0022950952,0.0031976511,0.00478875,0.0013189814,0.0017013467,0.58503956],"category_scores_gemma":[0.004446866,0.00036501314,0.0005747668,0.0030801906,0.0010510219,0.0029643632,0.0032629068,0.0018215558,0.35590073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018227432,0.00009248496,0.0020585766,0.00063727953,0.00002413063,0.000756175,0.0010723793,0.00016061676,0.0008384443,0.02238812,0.75312614,0.2186634],"study_design_scores_gemma":[0.0000047317026,0.000015681962,0.00065818516,0.00011780039,0.0000019735548,0.0001389588,0.00021637072,0.000020278278,0.00007107048,0.00048228656,0.9982672,0.000005423962],"about_ca_topic_score_codex":0.013631373,"about_ca_topic_score_gemma":0.016587242,"teacher_disagreement_score":0.58503956,"about_ca_system_score_codex":0.0022940298,"about_ca_system_score_gemma":0.0046553025,"threshold_uncertainty_score":0.5918907},"labels":[],"label_agreement":null},{"id":"W4242069306","doi":"10.1352/1944-7558-123.1.83","title":"Résumés en Français","year":2017,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.0464597806764474,"score_gpt":0.2915915235032005,"score_spread":0.2451317428267531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242069306","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008372311,0.022542272,0.0026166756,0.023629619,0.03327701,0.00035415674,0.016144203,0.0011444368,0.8919193],"genre_scores_gemma":[0.017124655,0.009460038,0.0012451278,0.0031100865,0.001925441,0.00014894862,0.0065166997,0.00053991005,0.95992905],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99759644,0.0005284491,0.00024114874,0.0004553179,0.00080791546,0.0003706859],"domain_scores_gemma":[0.9955402,0.0005801904,0.00032221124,0.00044212074,0.0020217195,0.0010935469],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001984246,0.0013816778,0.0010040198,0.002991647,0.0035541097,0.0064147105,0.0016961885,0.0021904337,0.57087964],"category_scores_gemma":[0.00820847,0.00042733803,0.0007021908,0.0045255437,0.0011866044,0.0039350577,0.0036507584,0.0020761448,0.34479865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017264437,0.0000730478,0.0018418402,0.00079347513,0.000023711305,0.00045502782,0.0011170303,0.00015005254,0.00056735915,0.016992182,0.80466014,0.17315345],"study_design_scores_gemma":[0.00000549422,0.000017006763,0.00082185195,0.00019660564,0.000003103631,0.000106934036,0.00032965402,0.00002368008,0.00007554061,0.0005480157,0.9978649,0.0000073174547],"about_ca_topic_score_codex":0.020138638,"about_ca_topic_score_gemma":0.021966813,"teacher_disagreement_score":0.57087964,"about_ca_system_score_codex":0.0032067238,"about_ca_system_score_gemma":0.006827876,"threshold_uncertainty_score":0.6120881},"labels":[],"label_agreement":null},{"id":"W4242224582","doi":"10.1352/1934-9556-53.5.377","title":"Résumés en Français","year":2015,"lang":"fr","type":"article","venue":"Intellectual and developmental disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.09478286869654018,"score_gpt":0.2827716178574192,"score_spread":0.18798874916087904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242224582","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077506383,0.042478703,0.0027292776,0.021263937,0.03266262,0.00035695257,0.016690498,0.0009016477,0.87516564],"genre_scores_gemma":[0.01899132,0.020160975,0.0017659339,0.004320403,0.0021926218,0.00021185074,0.008655731,0.00058572297,0.94311553],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975254,0.0006346681,0.0002860069,0.00042872186,0.00077305577,0.00035218542],"domain_scores_gemma":[0.9962274,0.00063738326,0.0003085969,0.00042569198,0.0017108872,0.00069003185],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022281576,0.0012416868,0.0010124245,0.0031262361,0.0034948508,0.006555716,0.0016931406,0.0020319694,0.49685147],"category_scores_gemma":[0.008127718,0.00038282617,0.0007508583,0.0056544445,0.0014318213,0.0043612393,0.0035650271,0.0022297665,0.263478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016181516,0.000070820075,0.0017325344,0.0013687918,0.000035615736,0.0004383086,0.0015737449,0.00012965067,0.00052124594,0.031746004,0.74178064,0.22044086],"study_design_scores_gemma":[0.000004318932,0.00001107618,0.00055046065,0.0002644823,0.0000032100168,0.00008591299,0.00028663018,0.0000103694165,0.000050005237,0.00050328916,0.99822444,0.0000057514712],"about_ca_topic_score_codex":0.026549416,"about_ca_topic_score_gemma":0.027897138,"teacher_disagreement_score":0.50314856,"about_ca_system_score_codex":0.0030348501,"about_ca_system_score_gemma":0.00817419,"threshold_uncertainty_score":0.71768034},"labels":[],"label_agreement":null},{"id":"W4242568833","doi":"10.1352/1944-7558-123.5.495","title":"Résumés en Français","year":2018,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Information retrieval; Download; World Wide Web; Programming language","score_opus":0.03532833154366792,"score_gpt":0.2766916632806961,"score_spread":0.24136333173702818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242568833","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013867682,0.020523652,0.0020258871,0.01686672,0.02039465,0.00031869943,0.015451557,0.0009199761,0.9096311],"genre_scores_gemma":[0.023661591,0.009095346,0.0013412195,0.0027251178,0.0014402606,0.00014090163,0.006872307,0.00042710904,0.9542962],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821883,0.00035991624,0.00018309483,0.0003074419,0.00060384284,0.00032684693],"domain_scores_gemma":[0.997232,0.00030330187,0.00022353075,0.00023138488,0.0012656985,0.0007440871],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013890411,0.0010784058,0.00074068987,0.0023813862,0.0032045282,0.0044641034,0.0012193379,0.0013875067,0.46752158],"category_scores_gemma":[0.004634577,0.00033076326,0.000576974,0.0035512433,0.0009770418,0.0023640515,0.0027877514,0.0016675522,0.23595232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015262497,0.000094895964,0.0036197146,0.00070646737,0.000025576392,0.0006465066,0.0013369191,0.00013599054,0.0007321731,0.017587997,0.7599306,0.21503054],"study_design_scores_gemma":[0.0000049298555,0.000018483619,0.0013973854,0.00015635995,0.000002571065,0.00016124784,0.00029971378,0.000017531795,0.00006769866,0.00031336042,0.9975547,0.0000060546495],"about_ca_topic_score_codex":0.026016627,"about_ca_topic_score_gemma":0.029464008,"teacher_disagreement_score":0.53247845,"about_ca_system_score_codex":0.0026165298,"about_ca_system_score_gemma":0.0064799013,"threshold_uncertainty_score":0.7595158},"labels":[],"label_agreement":null},{"id":"W4244221259","doi":"10.1352/1944-7558-120.2.189","title":"Résumés en Français","year":2015,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.061060970991956474,"score_gpt":0.2826934995018871,"score_spread":0.22163252850993062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244221259","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008672634,0.011800913,0.0017405411,0.010914707,0.016085865,0.00026156288,0.008386053,0.0006916554,0.9414461],"genre_scores_gemma":[0.012279069,0.0038504018,0.0007562733,0.0012059791,0.0007137889,0.00007672935,0.003041134,0.0002616723,0.977815],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985089,0.0003100993,0.00015222274,0.00028065869,0.000483702,0.00026434657],"domain_scores_gemma":[0.99793774,0.00022533095,0.00015790215,0.00022794749,0.0009325085,0.0005185897],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012821772,0.0012900751,0.00077198516,0.0022601064,0.003534356,0.0050225006,0.0012267716,0.0017281718,0.5837619],"category_scores_gemma":[0.0039014996,0.00035739646,0.00053890044,0.003048806,0.0010552247,0.0028689394,0.003063472,0.0017374346,0.34979618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018486878,0.00010066096,0.0027589814,0.0006307567,0.000024082881,0.0007527042,0.0016315329,0.00017081336,0.0009944185,0.027726673,0.71667516,0.24834937],"study_design_scores_gemma":[0.000004337548,0.000015350513,0.0007572199,0.000104701634,0.000001881858,0.00011502384,0.00028537525,0.000019240772,0.00007326408,0.00041877036,0.9981997,0.000005124537],"about_ca_topic_score_codex":0.02167168,"about_ca_topic_score_gemma":0.025414383,"teacher_disagreement_score":0.5837619,"about_ca_system_score_codex":0.0024567377,"about_ca_system_score_gemma":0.004674964,"threshold_uncertainty_score":0.59371316},"labels":[],"label_agreement":null},{"id":"W4247282175","doi":"10.1352/1944-7558-115.6.524","title":"Résumés en Français","year":2010,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Information retrieval; Download; World Wide Web; Programming language","score_opus":0.02520750867445705,"score_gpt":0.26460478443402835,"score_spread":0.23939727575957132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247282175","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012847694,0.01487882,0.0019962934,0.015801119,0.01424042,0.00025863686,0.010418807,0.00066750764,0.92889065],"genre_scores_gemma":[0.020089628,0.0062743598,0.0010954868,0.0020625489,0.0007506567,0.00010433492,0.004121258,0.00033483037,0.96516687],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981141,0.00042839823,0.00018092495,0.00033629852,0.0005983785,0.00034188322],"domain_scores_gemma":[0.9972134,0.00034783018,0.00021946862,0.0002680631,0.0013007271,0.00065055623],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015801055,0.0011482993,0.000715957,0.0023004035,0.0039670644,0.005512316,0.0012804698,0.0016447847,0.46847087],"category_scores_gemma":[0.0052487785,0.00034731152,0.0005515571,0.004002344,0.0012033725,0.0031242098,0.0032537715,0.0017809881,0.230131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021023722,0.00009468293,0.0035576557,0.0008198749,0.000028166127,0.00077943807,0.0029338037,0.00018710393,0.0009596843,0.0336578,0.7256867,0.23108491],"study_design_scores_gemma":[0.000004113111,0.000013731674,0.0010175103,0.00013190474,0.0000022383122,0.000103355545,0.0005219116,0.000018185146,0.00007402214,0.00037962798,0.99772733,0.000006031548],"about_ca_topic_score_codex":0.040707216,"about_ca_topic_score_gemma":0.046385933,"teacher_disagreement_score":0.46847087,"about_ca_system_score_codex":0.0035398116,"about_ca_system_score_gemma":0.0073435213,"threshold_uncertainty_score":0.7581618},"labels":[],"label_agreement":null},{"id":"W4247675585","doi":"10.1352/1944-7558-114.6","title":"Résumés en Français","year":2009,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; World Wide Web; Information retrieval; Programming language","score_opus":0.030274512467821476,"score_gpt":0.2697937082398396,"score_spread":0.23951919577201813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247675585","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037253685,0.019561436,0.0022682003,0.014972628,0.03984572,0.0003361117,0.011216489,0.0009849621,0.90708905],"genre_scores_gemma":[0.006731092,0.006193112,0.00079864776,0.0016646954,0.0017206412,0.0001076721,0.00427052,0.0003788905,0.97813475],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99815637,0.00033427906,0.00020951412,0.0003590974,0.0006650932,0.00027557847],"domain_scores_gemma":[0.9970421,0.00031503872,0.00020771696,0.00034612877,0.0013953487,0.0006935636],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015098756,0.0013450076,0.0010393535,0.002665529,0.0030269627,0.006209461,0.0016377518,0.0021502727,0.6833273],"category_scores_gemma":[0.0051446287,0.00042623226,0.0006731347,0.0035458936,0.0011437917,0.0034631207,0.0035967184,0.0021559915,0.49664876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113909584,0.00005819204,0.0008462012,0.0005379303,0.000015480015,0.00033390865,0.0004564034,0.00010131986,0.0006009301,0.012789759,0.80379117,0.18035485],"study_design_scores_gemma":[0.0000035911596,0.0000098573455,0.00035038934,0.00009869579,0.0000015290967,0.000084322746,0.00011464121,0.000014054099,0.000051843774,0.00036172604,0.9989054,0.0000039415527],"about_ca_topic_score_codex":0.01221824,"about_ca_topic_score_gemma":0.013279823,"teacher_disagreement_score":0.31667268,"about_ca_system_score_codex":0.002297491,"about_ca_system_score_gemma":0.0046157134,"threshold_uncertainty_score":0.45169514},"labels":[],"label_agreement":null},{"id":"W4248192047","doi":"10.1213/ane.0000000000002035","title":"In Response","year":2017,"lang":"en","type":"letter","venue":"Anesthesia & Analgesia","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Paul's Hospital; University of Toronto; University of British Columbia","funders":"","keywords":"Medicine; The Internet; Service (business); Internet privacy; Public relations; Medical education; World Wide Web; Marketing; Political science; Computer science","score_opus":0.022249977290122406,"score_gpt":0.2663142338826563,"score_spread":0.2440642565925339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248192047","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044945767,0.00242475,0.0005431068,0.7505214,0.20041008,0.00014916307,0.0017820307,0.00078278047,0.042937174],"genre_scores_gemma":[0.0030761317,0.0014248447,0.00050719007,0.7903348,0.036615316,0.00025535125,0.0007403331,0.0002881549,0.16675791],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99603856,0.0009221315,0.00032476307,0.000741209,0.00129734,0.0006759987],"domain_scores_gemma":[0.98289317,0.0038689785,0.00094144384,0.00064625236,0.007907807,0.003742379],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032024253,0.0010611776,0.0008165502,0.00086298137,0.0026923595,0.005056399,0.002581938,0.012782521,0.3072562],"category_scores_gemma":[0.038275298,0.0004622646,0.0009391753,0.00054010295,0.0012798737,0.0039720815,0.0040792497,0.01510226,0.17800522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008955109,0.0000045895695,0.00007575582,0.000026920943,9.959186e-7,0.000055176326,0.000025443866,0.0000053521508,0.000022554788,0.0003275832,0.9950446,0.004401965],"study_design_scores_gemma":[0.0000073188235,0.000009866716,0.00020805959,0.000099059245,0.0000016882246,0.00016561558,0.00017218044,0.000022514794,0.000039665,0.00034164896,0.99892384,0.000008453102],"about_ca_topic_score_codex":0.0029593515,"about_ca_topic_score_gemma":0.0051224288,"teacher_disagreement_score":0.3072562,"about_ca_system_score_codex":0.0027102951,"about_ca_system_score_gemma":0.0049459343,"threshold_uncertainty_score":0.98811495},"labels":[],"label_agreement":null},{"id":"W4248432020","doi":"10.1352/1944-7558-118.3.244","title":"Résumés en Français","year":2013,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Information retrieval; Download; World Wide Web; Programming language","score_opus":0.028588327779737924,"score_gpt":0.2543272179324839,"score_spread":0.225738890152746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248432020","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011060271,0.031051425,0.002976691,0.01691578,0.032457355,0.0004225815,0.013471579,0.00092056085,0.8907237],"genre_scores_gemma":[0.014610565,0.009986971,0.0014104123,0.0020720882,0.0014727256,0.00014489787,0.004774112,0.00039778708,0.96513057],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99809915,0.00041128753,0.00020569091,0.00033831265,0.00068496977,0.00026060105],"domain_scores_gemma":[0.9968054,0.0004150122,0.00024308742,0.0003295057,0.0014888666,0.00071797566],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017678065,0.0013157718,0.00094756216,0.002499651,0.003147077,0.0056020166,0.0014468513,0.0017703519,0.5118504],"category_scores_gemma":[0.0056043495,0.00038939036,0.00066906924,0.0037183207,0.0011667685,0.003067853,0.0034682737,0.0019446263,0.27513042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002878959,0.00012529665,0.0027241532,0.0010921628,0.000034643534,0.00067660894,0.0016269679,0.0002044338,0.0013694885,0.021554463,0.66562456,0.30467933],"study_design_scores_gemma":[0.00000569171,0.000020675703,0.0007766769,0.00016279303,0.0000032179241,0.00011623946,0.00026921346,0.000017005488,0.00010357619,0.00042419703,0.99809474,0.000005923248],"about_ca_topic_score_codex":0.019268781,"about_ca_topic_score_gemma":0.022273678,"teacher_disagreement_score":0.5118504,"about_ca_system_score_codex":0.0027209762,"about_ca_system_score_gemma":0.0064182486,"threshold_uncertainty_score":0.6962861},"labels":[],"label_agreement":null},{"id":"W4248761357","doi":"10.1352/1944-7558-119.3.287","title":"Résumés en Français","year":2014,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Information retrieval; Download; World Wide Web; Programming language","score_opus":0.027124249413381492,"score_gpt":0.25782087402685094,"score_spread":0.23069662461346946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248761357","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008759831,0.016739324,0.0017681192,0.0096994955,0.016650861,0.0002509669,0.010941308,0.0005771174,0.93461293],"genre_scores_gemma":[0.017550599,0.007130955,0.0010171692,0.0011988066,0.0008154259,0.0001120278,0.0047355783,0.00030011547,0.96713936],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983242,0.0003914804,0.00018714399,0.00029230517,0.0005317897,0.00027302097],"domain_scores_gemma":[0.9978058,0.00028528142,0.00016735903,0.00024920827,0.0010357997,0.0004565728],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014447441,0.0012179357,0.0009008929,0.0031238592,0.0038733191,0.005841944,0.001417707,0.0015156493,0.49732292],"category_scores_gemma":[0.004620731,0.00036136276,0.00054013846,0.0054455446,0.0011511786,0.0031953203,0.0031335948,0.0016574615,0.26571918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020452878,0.000091362395,0.002300824,0.00096779893,0.000024506746,0.0006463217,0.0025079835,0.00020820921,0.0007609037,0.037292838,0.7451629,0.20983192],"study_design_scores_gemma":[0.0000039124225,0.000013688556,0.00082697975,0.00015323592,0.000002255115,0.00009222349,0.00046585113,0.000018463159,0.000062988016,0.0004979154,0.9978569,0.0000056444237],"about_ca_topic_score_codex":0.030911852,"about_ca_topic_score_gemma":0.032887567,"teacher_disagreement_score":0.5026771,"about_ca_system_score_codex":0.0032955206,"about_ca_system_score_gemma":0.006385594,"threshold_uncertainty_score":0.7170079},"labels":[],"label_agreement":null},{"id":"W4250007667","doi":"10.1352/1944-7558-118.6.496","title":"Résumés en Français","year":2013,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.028588327779737924,"score_gpt":0.2543272179324839,"score_spread":0.225738890152746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250007667","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008978397,0.016261622,0.0021356703,0.016022094,0.02222255,0.00035891775,0.015187277,0.0008565477,0.9179769],"genre_scores_gemma":[0.0144938445,0.0061257826,0.0010651422,0.002129947,0.0010868672,0.00012662157,0.005735256,0.0003882506,0.96884835],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980794,0.0004247534,0.00020156255,0.00034623683,0.0006261114,0.00032199163],"domain_scores_gemma":[0.99725324,0.0003166967,0.00020715316,0.00028717832,0.001267923,0.00066781085],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015601863,0.001272338,0.00087950943,0.0023429117,0.0034817117,0.005326472,0.0014340379,0.0017734194,0.5852034],"category_scores_gemma":[0.0055505065,0.0003778223,0.00060995365,0.0037460895,0.0011244591,0.0030110031,0.0033876044,0.0018017414,0.34383774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019043733,0.00008159602,0.0023008117,0.00073769136,0.000025718093,0.000688627,0.0011992368,0.00015007076,0.00074934686,0.020887606,0.76852137,0.2044675],"study_design_scores_gemma":[0.0000052520345,0.000016154356,0.00084599445,0.00014568915,0.0000023442765,0.00012363854,0.00029674283,0.000019040039,0.00006518494,0.00042948948,0.9980447,0.0000057043962],"about_ca_topic_score_codex":0.025826994,"about_ca_topic_score_gemma":0.02719025,"teacher_disagreement_score":0.4147966,"about_ca_system_score_codex":0.0029084757,"about_ca_system_score_gemma":0.0064622224,"threshold_uncertainty_score":0.591657},"labels":[],"label_agreement":null},{"id":"W4251591461","doi":"10.1352/1934-9556-53.4.319","title":"Résumés en Français","year":2015,"lang":"fr","type":"article","venue":"Intellectual and developmental disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Download; Computer science; Information retrieval; World Wide Web; Programming language","score_opus":0.09478286869654018,"score_gpt":0.2827716178574192,"score_spread":0.18798874916087904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251591461","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007287587,0.012542635,0.0014005523,0.011868945,0.0149699515,0.00023773313,0.0131587535,0.00062421156,0.9379096],"genre_scores_gemma":[0.0121267205,0.0046323366,0.00062921323,0.0011920055,0.00065516296,0.000076141296,0.004326417,0.00025050415,0.97611153],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998486,0.0002982284,0.0001459746,0.00027549025,0.0005031916,0.00029130024],"domain_scores_gemma":[0.9979596,0.00021931346,0.00015367128,0.00021196749,0.0009716845,0.00048363788],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001238043,0.0011631426,0.00074579584,0.0023791625,0.003716832,0.005267931,0.0012334783,0.0016212781,0.5719992],"category_scores_gemma":[0.0040060827,0.0003522794,0.00053551834,0.003825056,0.0010854376,0.0027031489,0.0030197748,0.0016704751,0.3334494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015459997,0.00007051557,0.0018896419,0.00056107994,0.000018874067,0.00046723412,0.0010593109,0.00016024028,0.0006740492,0.02811359,0.7956199,0.17121094],"study_design_scores_gemma":[0.0000039696642,0.000010974789,0.0007447996,0.0001031738,0.0000016128918,0.00007079795,0.00023007987,0.000017276425,0.00006183899,0.00037271695,0.9983779,0.0000048463858],"about_ca_topic_score_codex":0.03755499,"about_ca_topic_score_gemma":0.04017171,"teacher_disagreement_score":0.4280008,"about_ca_system_score_codex":0.0033148052,"about_ca_system_score_gemma":0.0064978325,"threshold_uncertainty_score":0.61049116},"labels":[],"label_agreement":null},{"id":"W4253230338","doi":"10.1352/1944-7558-125.5.408","title":"Résumés en Français","year":2020,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.047592453534489626,"score_gpt":0.2646375348734983,"score_spread":0.21704508133900866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253230338","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007344772,0.011776307,0.0016898745,0.013159972,0.01149792,0.0002561339,0.014215311,0.00065322797,0.9394064],"genre_scores_gemma":[0.01871809,0.0073722564,0.0010684109,0.0024114894,0.0008067173,0.00014905773,0.0074573727,0.00039710914,0.9616195],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99764234,0.0004892477,0.00022875621,0.00036343775,0.00082957296,0.00044669534],"domain_scores_gemma":[0.99646264,0.00045649207,0.00021471207,0.00030955387,0.0018817268,0.0006748842],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018551729,0.0011694501,0.00074651686,0.0029924691,0.004594191,0.006649325,0.0014568134,0.0016925322,0.47148955],"category_scores_gemma":[0.00663776,0.00033534662,0.00061526155,0.005678953,0.0012178702,0.0035227404,0.003309719,0.0020033382,0.24197692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013129911,0.0000725548,0.0020163937,0.0007104721,0.000017234246,0.00038874228,0.002249382,0.00015199649,0.0004771158,0.030684596,0.8215675,0.14153287],"study_design_scores_gemma":[0.000003332954,0.0000100888965,0.0006658653,0.00012986442,0.0000017919717,0.000053655334,0.00047137353,0.000013483103,0.000047106187,0.0003784964,0.9982192,0.000005734353],"about_ca_topic_score_codex":0.060623903,"about_ca_topic_score_gemma":0.06328289,"teacher_disagreement_score":0.52851045,"about_ca_system_score_codex":0.0048670294,"about_ca_system_score_gemma":0.009953692,"threshold_uncertainty_score":0.753856},"labels":[],"label_agreement":null},{"id":"W4253508568","doi":"10.1352/1944-7558-118.2.177","title":"Résumés en Français","year":2013,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Information retrieval; Download; World Wide Web; Programming language","score_opus":0.028588327779737924,"score_gpt":0.2543272179324839,"score_spread":0.225738890152746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253508568","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00828407,0.01496746,0.0015012126,0.012056211,0.018360564,0.00022191995,0.009968796,0.00062588445,0.93401384],"genre_scores_gemma":[0.015272942,0.0054790745,0.00066326436,0.0011816204,0.0009674002,0.00007781025,0.0037162867,0.00027946517,0.97236216],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986777,0.00028652904,0.00013585083,0.0002453975,0.00042727878,0.0002272432],"domain_scores_gemma":[0.9982704,0.00020390868,0.00013621281,0.00019358008,0.0007544129,0.00044150255],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010637109,0.0011511313,0.0007148709,0.002406415,0.0034580955,0.0047734072,0.0011902042,0.0015732746,0.5255487],"category_scores_gemma":[0.0035725927,0.0003286187,0.00045599518,0.0036578143,0.0010520177,0.0029178732,0.002965495,0.001620049,0.3002512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001589912,0.00006801659,0.0017708087,0.0006446695,0.000017981107,0.0006200888,0.0017497833,0.00013502006,0.00081463245,0.026587436,0.78097594,0.18645662],"study_design_scores_gemma":[0.0000030176996,0.000010278163,0.0006356925,0.00009813457,0.0000013794194,0.00009415745,0.00029260071,0.000014933077,0.000059972157,0.000344749,0.99844104,0.0000040833056],"about_ca_topic_score_codex":0.020434074,"about_ca_topic_score_gemma":0.023223812,"teacher_disagreement_score":0.4744513,"about_ca_system_score_codex":0.0026135435,"about_ca_system_score_gemma":0.0044228924,"threshold_uncertainty_score":0.6767472},"labels":[],"label_agreement":null},{"id":"W4253921612","doi":"10.1352/1944-7558-124.6.583","title":"Résumés en Français","year":2019,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Information retrieval; Download; World Wide Web; Programming language","score_opus":0.024980033049128787,"score_gpt":0.25661534380090545,"score_spread":0.23163531075177665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253921612","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009547985,0.013696514,0.0022897022,0.011624036,0.018676387,0.00026665628,0.012209188,0.00084104197,0.9308485],"genre_scores_gemma":[0.013550672,0.004006572,0.00093722326,0.0010121725,0.0008002242,0.00008650201,0.004214592,0.00031897283,0.97507316],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985089,0.00031376994,0.00015228154,0.00029995324,0.0004904765,0.00023467027],"domain_scores_gemma":[0.9979444,0.00022889729,0.00014567563,0.00025141126,0.00091958384,0.000509992],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001282595,0.0012970626,0.0008577152,0.0024792699,0.0034536333,0.0049302615,0.0012659705,0.001568799,0.5825258],"category_scores_gemma":[0.0040868954,0.0003517086,0.0005423674,0.0034134344,0.0010565474,0.0028843211,0.0032023673,0.0016442037,0.3458087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021247537,0.000089902125,0.002365558,0.0006044617,0.000024568944,0.0005845966,0.0015032322,0.00018421613,0.0009872178,0.028859332,0.729837,0.23474741],"study_design_scores_gemma":[0.000004202954,0.000016102586,0.0008190352,0.00010011438,0.0000020039695,0.00011212225,0.00026497798,0.000019792264,0.00008440612,0.00052132393,0.9980506,0.0000052939495],"about_ca_topic_score_codex":0.018543305,"about_ca_topic_score_gemma":0.020575996,"teacher_disagreement_score":0.4174742,"about_ca_system_score_codex":0.0025056587,"about_ca_system_score_gemma":0.0041786213,"threshold_uncertainty_score":0.59547627},"labels":[],"label_agreement":null},{"id":"W4254058603","doi":"10.1352/1944-7558-124.4.391","title":"Résumés en Français","year":2019,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.024980033049128787,"score_gpt":0.25661534380090545,"score_spread":0.23163531075177665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254058603","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009908141,0.019995365,0.0021576607,0.014792449,0.022554848,0.00028432245,0.013545574,0.00076189457,0.9159999],"genre_scores_gemma":[0.01688076,0.007151557,0.0010095056,0.0016055941,0.0011384976,0.00010357466,0.0048787273,0.00035930861,0.9668725],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982981,0.00035934785,0.00018364975,0.0003296959,0.00055985793,0.0002694019],"domain_scores_gemma":[0.9973514,0.00034768894,0.00019629995,0.00028856946,0.0012140298,0.0006019721],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014715862,0.0012931259,0.0009181214,0.0025741104,0.0036541356,0.0055143633,0.0013651138,0.0017001373,0.5267057],"category_scores_gemma":[0.0052760057,0.000367987,0.00055698777,0.0040996606,0.0011276309,0.0033721642,0.0032184096,0.0018175513,0.2950188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021348096,0.00008417258,0.0023363575,0.0008152146,0.000025944824,0.0006040574,0.0016193558,0.0001717155,0.0007577896,0.027879806,0.7457919,0.21970017],"study_design_scores_gemma":[0.000004545194,0.000013918895,0.00085482537,0.00014209871,0.0000024476167,0.00010280592,0.00033710754,0.000021202679,0.00007452852,0.00052401895,0.99791664,0.0000058282076],"about_ca_topic_score_codex":0.023812572,"about_ca_topic_score_gemma":0.026055211,"teacher_disagreement_score":0.5267057,"about_ca_system_score_codex":0.0028562,"about_ca_system_score_gemma":0.0057726935,"threshold_uncertainty_score":0.67509687},"labels":[],"label_agreement":null},{"id":"W4254390547","doi":"10.1352/1944-7558-121.1.74","title":"Résumés en Français","year":2015,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.061060970991956474,"score_gpt":0.2826934995018871,"score_spread":0.22163252850993062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254390547","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057354663,0.01557402,0.0021646195,0.01563725,0.020446286,0.00022238836,0.0068139257,0.00066343154,0.93274266],"genre_scores_gemma":[0.0122524025,0.0065606507,0.0010403959,0.0019115974,0.0012335588,0.00008139617,0.002944667,0.0003217942,0.9736535],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980422,0.00041281778,0.00019712257,0.00035797103,0.00067328045,0.00031650145],"domain_scores_gemma":[0.9972705,0.00034587245,0.00021165556,0.00032449592,0.0011833964,0.0006640757],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015878372,0.0012197456,0.0008417688,0.0027982553,0.0039870865,0.006742246,0.0015414923,0.002022413,0.5276371],"category_scores_gemma":[0.0054103606,0.0003941318,0.0006543626,0.004356043,0.0012847523,0.004032796,0.0038759818,0.002196949,0.32837528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014078803,0.00008379998,0.0017899455,0.00063837634,0.00001983973,0.0005338447,0.0014914492,0.00015762671,0.0006160398,0.040321913,0.7354868,0.21871957],"study_design_scores_gemma":[0.0000032777693,0.000009014507,0.0004229919,0.000104868166,0.0000017088062,0.00008619444,0.00024306151,0.000016833994,0.000055720142,0.0005546457,0.99849725,0.000004417477],"about_ca_topic_score_codex":0.01801176,"about_ca_topic_score_gemma":0.021082198,"teacher_disagreement_score":0.47236288,"about_ca_system_score_codex":0.0030049172,"about_ca_system_score_gemma":0.0062831608,"threshold_uncertainty_score":0.6737683},"labels":[],"label_agreement":null},{"id":"W4254490885","doi":"10.1352/1944-7558-122.5.453","title":"Résumés en Français","year":2017,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; World Wide Web; Information retrieval; Programming language","score_opus":0.0464597806764474,"score_gpt":0.2915915235032005,"score_spread":0.2451317428267531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254490885","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074617327,0.023469044,0.0026068783,0.018240895,0.028884187,0.00031151337,0.010351281,0.00094436493,0.9077302],"genre_scores_gemma":[0.014652788,0.008480751,0.001195453,0.0021063453,0.0017116497,0.00010951596,0.004180571,0.00041657957,0.9671464],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981211,0.00040276593,0.00020045298,0.00037312455,0.00061798055,0.00028449224],"domain_scores_gemma":[0.99717206,0.0003569166,0.00022168801,0.00032428757,0.0011841494,0.00074084155],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015612072,0.0013506236,0.0009282544,0.002684097,0.0032467118,0.005944089,0.0015229268,0.0021591103,0.5687204],"category_scores_gemma":[0.0052766316,0.00040460163,0.0006481533,0.0035390363,0.001260811,0.0035783227,0.0036483798,0.0020496333,0.33652437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001962234,0.00008603668,0.0018787237,0.00081246515,0.000026636453,0.000642544,0.001204306,0.000200984,0.00091471965,0.026175335,0.72364676,0.24421532],"study_design_scores_gemma":[0.0000043314535,0.000013804534,0.00055101566,0.00013822774,0.0000022456331,0.00012410272,0.00020613596,0.000021991798,0.00007646367,0.00054846687,0.99830794,0.000005288375],"about_ca_topic_score_codex":0.014184336,"about_ca_topic_score_gemma":0.014952119,"teacher_disagreement_score":0.5687204,"about_ca_system_score_codex":0.0027359258,"about_ca_system_score_gemma":0.005485543,"threshold_uncertainty_score":0.615168},"labels":[],"label_agreement":null},{"id":"W4254531792","doi":"10.1352/1944-7558-115.3.263","title":"Résumés en Français","year":2010,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Information retrieval; Download; World Wide Web; Programming language","score_opus":0.02520750867445705,"score_gpt":0.26460478443402835,"score_spread":0.23939727575957132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254531792","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004830469,0.037793264,0.0024244667,0.029072588,0.066338874,0.00035846827,0.012764788,0.0010645412,0.8453526],"genre_scores_gemma":[0.010381789,0.012422869,0.000872496,0.0031253507,0.0031926709,0.0001358856,0.004653432,0.0004688507,0.96474665],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977901,0.00043286086,0.00023049084,0.00039869122,0.00081617234,0.00033167773],"domain_scores_gemma":[0.9954047,0.0005161752,0.00029330654,0.00041419457,0.0023034643,0.0010680726],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017410856,0.00139137,0.0010749861,0.0027220803,0.0032523153,0.006688424,0.0015878471,0.0021670237,0.6034884],"category_scores_gemma":[0.0072695566,0.00042306646,0.00069451757,0.0036923513,0.0011525028,0.0036715495,0.003575996,0.002273705,0.42183107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098465825,0.00005047608,0.0008102704,0.0005886539,0.000013775882,0.00028935942,0.0005565801,0.00009020518,0.0004901797,0.009257926,0.8506869,0.13706732],"study_design_scores_gemma":[0.0000038507073,0.000011646685,0.00046533707,0.00016330209,0.0000019706804,0.00008655185,0.00020201017,0.000015572345,0.0000622999,0.00033071407,0.99865156,0.0000051973375],"about_ca_topic_score_codex":0.01656574,"about_ca_topic_score_gemma":0.018054182,"teacher_disagreement_score":0.6034884,"about_ca_system_score_codex":0.0032022153,"about_ca_system_score_gemma":0.00654272,"threshold_uncertainty_score":0.5655757},"labels":[],"label_agreement":null},{"id":"W4255180076","doi":"10.2196/preprints.33335","title":"A Virtual Community for Disability Advocacy: Development of a Searchable Artificial Intelligence–Supported Platform (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's and Gender Studies et Recherches Féministes; York University","funders":"","keywords":"Upload; World Wide Web; Computer science; International Classification of Functioning, Disability and Health; Internet privacy; Psychology","score_opus":0.12819739944544545,"score_gpt":0.33898675826110564,"score_spread":0.2107893588156602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255180076","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10963074,0.00027718267,0.780206,0.0032484052,0.00079457567,0.004089564,0.002316393,0.030910013,0.068527155],"genre_scores_gemma":[0.18331231,0.00025864277,0.76373315,0.00043248225,0.00014703997,0.0021233489,0.006042341,0.002158543,0.041792233],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988164,0.00042288445,0.00009171371,0.00018466421,0.00035850125,0.00012596464],"domain_scores_gemma":[0.9974015,0.0006540391,0.00011786211,0.00047000562,0.0005155896,0.0008411141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028262888,0.0004854017,0.00034278442,0.001131379,0.0013296505,0.0039541656,0.0017992046,0.0012766649,0.013129177],"category_scores_gemma":[0.0053930758,0.00030862069,0.0006711627,0.000648597,0.000895384,0.0048984555,0.0053304606,0.0011068264,0.0050359364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010245186,0.0025837042,0.008309316,0.0010659263,0.0001271962,0.0032092908,0.010986685,0.016012426,0.05213866,0.14529611,0.13358377,0.6256624],"study_design_scores_gemma":[0.00034351315,0.001114753,0.00511425,0.00042001525,0.00010162862,0.0011759746,0.0039943364,0.17632248,0.03291698,0.049777426,0.7284492,0.00026939128],"about_ca_topic_score_codex":0.0019826791,"about_ca_topic_score_gemma":0.0015597267,"teacher_disagreement_score":0.013129177,"about_ca_system_score_codex":0.0006548142,"about_ca_system_score_gemma":0.0026172714,"threshold_uncertainty_score":0.04392147},"labels":[],"label_agreement":null},{"id":"W4255464461","doi":"10.1352/1944-7558-119.2.199","title":"Résumés en Français","year":2014,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Information retrieval; Download; World Wide Web; Programming language","score_opus":0.027124249413381492,"score_gpt":0.25782087402685094,"score_spread":0.23069662461346946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255464461","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010466249,0.021543551,0.0023597036,0.015994877,0.024624093,0.0003365792,0.015845956,0.0008722939,0.90795666],"genre_scores_gemma":[0.014383677,0.0067390674,0.0009907777,0.0017453966,0.0011093834,0.00010457329,0.005307683,0.00034146575,0.96927804],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99840647,0.00033417318,0.000172276,0.00031118758,0.00050405646,0.00027187786],"domain_scores_gemma":[0.9977368,0.00026372206,0.00019305323,0.00022710838,0.000989218,0.00059014995],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013950837,0.0013610318,0.0009220708,0.002375392,0.0033695465,0.004684514,0.0014000136,0.0017295626,0.57849115],"category_scores_gemma":[0.00440652,0.00037475186,0.0006073004,0.0034581167,0.0010783857,0.002640604,0.0030639744,0.0016812226,0.34335935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022949342,0.00010185398,0.00257857,0.00076502765,0.000028571743,0.0007629635,0.0011244256,0.00017277105,0.00091997307,0.020568097,0.75424135,0.21850687],"study_design_scores_gemma":[0.0000058147625,0.000019353009,0.00095705397,0.00013793542,0.000002461947,0.00014900783,0.00023147998,0.000020904068,0.00007455371,0.00043868198,0.9979569,0.0000058913115],"about_ca_topic_score_codex":0.021645188,"about_ca_topic_score_gemma":0.023635134,"teacher_disagreement_score":0.42150885,"about_ca_system_score_codex":0.00243039,"about_ca_system_score_gemma":0.0050322227,"threshold_uncertainty_score":0.6012312},"labels":[],"label_agreement":null},{"id":"W4256075605","doi":"10.1352/1944-7558-122.3.282","title":"Résumés en Français","year":2017,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; World Wide Web; Information retrieval; Programming language","score_opus":0.0464597806764474,"score_gpt":0.2915915235032005,"score_spread":0.2451317428267531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256075605","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013095279,0.030250918,0.0039324653,0.01900825,0.029322099,0.00045662202,0.015111368,0.0011334462,0.8876895],"genre_scores_gemma":[0.022118608,0.010542199,0.0020414651,0.0031465776,0.0018075765,0.00020372903,0.0063259522,0.0005317812,0.9532821],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99749666,0.00061852497,0.00026163197,0.0004490993,0.00085639016,0.00031770434],"domain_scores_gemma":[0.99532133,0.00065894896,0.0003594317,0.0005441485,0.0021567703,0.00095950376],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024459672,0.0011916186,0.0009590307,0.0028404533,0.0032990153,0.0060560466,0.0015412273,0.0017558718,0.4744093],"category_scores_gemma":[0.007798233,0.0004051381,0.00067027897,0.0042958884,0.001239992,0.0032941252,0.0034449953,0.0020199288,0.26421484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002297035,0.0001236012,0.0034022976,0.00095083966,0.000038737817,0.0005995046,0.0017137906,0.00018042103,0.00095952256,0.02457131,0.65792656,0.3093036],"study_design_scores_gemma":[0.000006966357,0.000023280905,0.0012073339,0.00019830123,0.000004405752,0.00015637017,0.00034247272,0.000024066467,0.00010324196,0.00058681495,0.9973392,0.000007532026],"about_ca_topic_score_codex":0.01690896,"about_ca_topic_score_gemma":0.017922942,"teacher_disagreement_score":0.4744093,"about_ca_system_score_codex":0.0026798842,"about_ca_system_score_gemma":0.0066296062,"threshold_uncertainty_score":0.7496913},"labels":[],"label_agreement":null},{"id":"W4256502487","doi":"10.1352/1944-7558-125.3.243","title":"Résumés en Français","year":2020,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.047592453534489626,"score_gpt":0.2646375348734983,"score_spread":0.21704508133900866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256502487","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0135136,0.017617796,0.0050473907,0.014669552,0.016221687,0.00048628752,0.03545793,0.0014816012,0.89550424],"genre_scores_gemma":[0.025183389,0.0073105693,0.0021653427,0.0015081567,0.00090756663,0.0002458734,0.013668497,0.00058569864,0.94842494],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978859,0.00055997696,0.00020584397,0.00041027987,0.0006603712,0.00027774062],"domain_scores_gemma":[0.99609405,0.00066012755,0.0003272426,0.00049161585,0.0017056041,0.00072130864],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002348671,0.001461993,0.0010997128,0.0031519425,0.0027540305,0.0059469976,0.0015878554,0.0015865852,0.5252451],"category_scores_gemma":[0.008252137,0.00048564462,0.0009986279,0.005505297,0.0009768598,0.0036371532,0.0030334538,0.0018260682,0.2991673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027968216,0.00012820246,0.005826321,0.0009493092,0.000055303924,0.00052438007,0.0015781148,0.00060452585,0.00045288986,0.03389424,0.7112335,0.24447346],"study_design_scores_gemma":[0.000013496657,0.000035411846,0.0023708888,0.0002889984,0.0000081849485,0.00012323898,0.00049537537,0.00010750878,0.00008286594,0.0014768712,0.9949825,0.000014672771],"about_ca_topic_score_codex":0.036928196,"about_ca_topic_score_gemma":0.029951876,"teacher_disagreement_score":0.47475493,"about_ca_system_score_codex":0.003172861,"about_ca_system_score_gemma":0.007348563,"threshold_uncertainty_score":0.6771803},"labels":[],"label_agreement":null},{"id":"W4281926114","doi":"10.4018/978-1-7998-4736-6.ch009","title":"Implementing UN CRDP Through Human Interface Equivalencies (HIEs) With Semantic Interoperability","year":2022,"lang":"en","type":"book-chapter","venue":"Advances in educational technologies and instructional design book series","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EnGlobe (Canada)","funders":"","keywords":"Interoperability; Semantic interoperability; Computer science; Interface (matter); Context (archaeology); Software engineering; Knowledge management; World Wide Web; Geography","score_opus":0.025571319730915865,"score_gpt":0.28002045834929856,"score_spread":0.2544491386183827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281926114","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00221459,0.0014309804,0.4257582,0.0028153355,0.00091540307,0.00019409535,0.00010789175,0.0012583996,0.5653052],"genre_scores_gemma":[0.09414563,0.004225512,0.6062415,0.0023407678,0.00060135045,0.00078749144,0.0007607805,0.0010976216,0.28979927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99729747,0.0010366242,0.00018224967,0.00033343956,0.0010083389,0.00014197125],"domain_scores_gemma":[0.99833184,0.00062849314,0.00007892017,0.0005626219,0.0003370639,0.00006105893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024005806,0.0006638242,0.00049419864,0.0012267014,0.000931316,0.005547541,0.0015873186,0.0015520273,0.01618044],"category_scores_gemma":[0.004805468,0.00042186695,0.0006622738,0.0015142909,0.0036677506,0.01188544,0.005049112,0.0040125907,0.006786312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006968806,0.000016085287,0.000024713327,0.000076417935,0.0000021014382,0.00005515906,0.0004336433,0.00054599065,0.0005615712,0.93425155,0.008096039,0.05592989],"study_design_scores_gemma":[0.000007956753,0.000031506024,0.00011900539,0.000229243,0.000006737196,0.00023206892,0.00034611113,0.004473197,0.0026883897,0.39177477,0.6000752,0.000015792912],"about_ca_topic_score_codex":0.0016480733,"about_ca_topic_score_gemma":0.0017866273,"teacher_disagreement_score":0.01618044,"about_ca_system_score_codex":0.0017865484,"about_ca_system_score_gemma":0.0019921882,"threshold_uncertainty_score":0.054128945},"labels":[],"label_agreement":null},{"id":"W4284885746","doi":"10.1037/cep0000287","title":"Constituent processing in compound and pseudocompound words.","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Priming (agriculture); Seabird; Compound; PsycINFO; Word (group theory); Semantics (computer science); Psychology; Computer science; Natural language processing; Linguistics; Chemistry; Biology; Ecology; MEDLINE; Biochemistry","score_opus":0.03691423754906093,"score_gpt":0.29734344383234684,"score_spread":0.2604292062832859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284885746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93506444,0.0012470247,0.011306923,0.0004001368,0.00054015813,0.00018969149,0.0007809547,0.00024040042,0.050230373],"genre_scores_gemma":[0.98383397,0.00033238702,0.0093796505,0.00018069518,0.00008026234,0.00008423438,0.0006535321,0.00013496904,0.0053203586],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99969804,0.000048843827,0.00003429328,0.00010397245,0.000095557276,0.0000192258],"domain_scores_gemma":[0.99815494,0.0009699007,0.0003617298,0.00021290251,0.00020414758,0.000096316224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035739032,0.0002911146,0.00017212325,0.00032506435,0.0002888897,0.0010263787,0.00026037404,0.0007655403,0.017361732],"category_scores_gemma":[0.0047376347,0.00021083883,0.00023020605,0.00028966,0.0004656705,0.0025195756,0.00076333736,0.0005278189,0.001887351],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027254925,0.00018163538,0.0038525623,0.0011152864,0.000033386947,0.0010235589,0.003213417,0.00014418727,0.86539733,0.023237182,0.0020013046,0.09707464],"study_design_scores_gemma":[0.0005173918,0.0031104272,0.38055,0.00044212618,0.0002875157,0.015707731,0.0030098287,0.005822107,0.44608158,0.07964296,0.06462085,0.00020734925],"about_ca_topic_score_codex":0.00032629515,"about_ca_topic_score_gemma":0.00048154895,"teacher_disagreement_score":0.017361732,"about_ca_system_score_codex":0.00025665504,"about_ca_system_score_gemma":0.00024471158,"threshold_uncertainty_score":0.058080792},"labels":[],"label_agreement":null},{"id":"W4285793742","doi":"10.1007/s10579-022-09602-7","title":"Speech acts in the Dutch COVID-19 Press Conferences","year":2022,"lang":"en","type":"article","venue":"Language Resources and Evaluation","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canadian Institute of Steel Construction","keywords":"Speech act; Computer science; Metadata; Linguistics; Reciprocal; Coronavirus disease 2019 (COVID-19); Direct speech; Natural language processing; Mean reciprocal rank; Artificial intelligence; Classifier (UML); Transformer; British National Corpus; World Wide Web; Medicine; Philosophy","score_opus":0.07035566898821673,"score_gpt":0.3433580144822387,"score_spread":0.27300234549402197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285793742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67538005,0.004962876,0.009906097,0.0007445315,0.00047722168,0.0011555182,0.26917276,0.0006884756,0.03751247],"genre_scores_gemma":[0.5628696,0.001480236,0.012971321,0.00019153976,0.00017672474,0.0029832458,0.40424028,0.00051687117,0.014570237],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9961696,0.0015404914,0.00048451318,0.0005978607,0.0010128904,0.00019464862],"domain_scores_gemma":[0.9933873,0.0036737,0.0007491782,0.0003809411,0.0015013178,0.00030762766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019154358,0.0007202451,0.00049166655,0.0027781164,0.0008458489,0.0016820848,0.0006636202,0.0006525142,0.009995425],"category_scores_gemma":[0.008203429,0.0003265139,0.00033282157,0.0033805512,0.0007331179,0.0011620932,0.0014632388,0.00069182104,0.0040895706],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029758094,0.0011440421,0.07848129,0.016081758,0.0002850629,0.006679327,0.06905492,0.007103841,0.05590142,0.009845426,0.35263732,0.39980975],"study_design_scores_gemma":[0.00028420961,0.000253843,0.402066,0.0015664167,0.00013953146,0.0024216683,0.019940639,0.010560202,0.016503513,0.0015049687,0.54450357,0.00025552913],"about_ca_topic_score_codex":0.024234831,"about_ca_topic_score_gemma":0.026854454,"teacher_disagreement_score":0.024234831,"about_ca_system_score_codex":0.0018600427,"about_ca_system_score_gemma":0.0012008534,"threshold_uncertainty_score":0.048187554},"labels":[],"label_agreement":null},{"id":"W4293055821","doi":"10.1352/1944-7558-127.4.345","title":"Résumés en Français","year":2022,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.03253244248008126,"score_gpt":0.2609031443318721,"score_spread":0.22837070185179087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293055821","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010708932,0.012654587,0.0013618884,0.011566622,0.012423223,0.00028052344,0.023998061,0.0006473348,0.92635894],"genre_scores_gemma":[0.019197678,0.006475796,0.000862671,0.0020907293,0.0006373501,0.0001491935,0.010183937,0.0003146932,0.96008795],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982072,0.00036417227,0.00016984057,0.00028853543,0.0005743118,0.00039594134],"domain_scores_gemma":[0.9973563,0.000268201,0.00019392255,0.00022022828,0.0013510123,0.00061039266],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013978833,0.0011498284,0.0007447199,0.0025829033,0.0043579172,0.0054015866,0.0014293513,0.0015043239,0.50616586],"category_scores_gemma":[0.004870194,0.00032326602,0.0005090956,0.0051718857,0.0010080689,0.0028956695,0.002865383,0.0016712738,0.27650177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012945413,0.000079743964,0.00280954,0.0006280603,0.000018146144,0.00041777783,0.0014780891,0.00009813007,0.00047491377,0.017010195,0.8415794,0.13527656],"study_design_scores_gemma":[0.000004253971,0.0000132941095,0.0014894762,0.00014487839,0.0000020371492,0.00007560816,0.0005443802,0.000016086518,0.000052300813,0.0002842978,0.9973666,0.0000066623907],"about_ca_topic_score_codex":0.068025075,"about_ca_topic_score_gemma":0.07581258,"teacher_disagreement_score":0.50616586,"about_ca_system_score_codex":0.0035400502,"about_ca_system_score_gemma":0.0076983673,"threshold_uncertainty_score":0.70439446},"labels":[],"label_agreement":null},{"id":"W4293797358","doi":"10.48550/arxiv.2208.12924","title":"Quantifying French Document Complexity","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Contrast (vision); Task (project management); Natural language processing; Range (aeronautics); Linguistic sequence complexity; Measure (data warehouse); Artificial intelligence; Information retrieval; Linguistics; Data mining","score_opus":0.22118086501807158,"score_gpt":0.23909837313316293,"score_spread":0.017917508115091352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293797358","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8132812,0.0031008197,0.13821529,0.0009279213,0.000111470195,0.00032784947,0.015516182,0.0020293593,0.026489927],"genre_scores_gemma":[0.899513,0.00076078257,0.07697989,0.00008988225,0.00010976796,0.00033999034,0.017717464,0.00031051456,0.0041787294],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969977,0.0007892426,0.00024401075,0.0006213575,0.0011842794,0.0001634916],"domain_scores_gemma":[0.9837046,0.008488676,0.0017377181,0.001482186,0.004125652,0.00046110334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018207938,0.000588808,0.00059791346,0.008575613,0.001204221,0.0027786607,0.00043666395,0.00061240955,0.0035206403],"category_scores_gemma":[0.022019569,0.00015060417,0.0004760555,0.005994673,0.00089593953,0.0024329163,0.0012340782,0.0006514358,0.00058119325],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080739905,0.00020494164,0.17136459,0.0019553085,0.00055928127,0.0008042682,0.0070928955,0.0510824,0.041191567,0.051291358,0.023517732,0.65012825],"study_design_scores_gemma":[0.00010924956,0.0005504801,0.5578672,0.00045060652,0.0003284983,0.0024009622,0.0057335747,0.1645076,0.057857707,0.05043356,0.15942147,0.0003391672],"about_ca_topic_score_codex":0.02112893,"about_ca_topic_score_gemma":0.01989432,"teacher_disagreement_score":0.02112893,"about_ca_system_score_codex":0.0021872886,"about_ca_system_score_gemma":0.0013883892,"threshold_uncertainty_score":0.042011857},"labels":[],"label_agreement":null},{"id":"W4294300070","doi":"10.21428/594757db.8b7cd94b","title":"Quantifying French Document Complexity","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Contrast (vision); Task (project management); Natural language processing; Range (aeronautics); Linguistic sequence complexity; Artificial intelligence; Measure (data warehouse); Information retrieval; Linguistics; Data mining","score_opus":0.15225465829946824,"score_gpt":0.346716417992687,"score_spread":0.19446175969321874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294300070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8224779,0.0032075199,0.1330131,0.0007903986,0.000104216124,0.00032346608,0.014258756,0.0018396609,0.023984972],"genre_scores_gemma":[0.8978694,0.0008067102,0.079008505,0.00008056849,0.00010444689,0.00035636534,0.017082717,0.00029660345,0.004394756],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99707067,0.00075823866,0.00022820864,0.0006272247,0.0011506721,0.00016490997],"domain_scores_gemma":[0.9850257,0.007910125,0.0015274433,0.0012939448,0.003802972,0.00043979712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001790905,0.0006101639,0.0006022545,0.008072607,0.0011228818,0.0028065557,0.00042889558,0.0006272147,0.0035251097],"category_scores_gemma":[0.019944353,0.00014886913,0.00047850108,0.00554428,0.0008150188,0.0022231648,0.0011784841,0.00059231464,0.00056475087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007894867,0.00020037967,0.16450727,0.0019088449,0.0005463761,0.0007558233,0.0066051865,0.052516535,0.04347285,0.043541208,0.020671373,0.6644846],"study_design_scores_gemma":[0.00010746917,0.00052705215,0.58941746,0.00042087078,0.00032785203,0.0022723954,0.005257592,0.16170885,0.05880036,0.040792465,0.1400423,0.00032536857],"about_ca_topic_score_codex":0.023626342,"about_ca_topic_score_gemma":0.021257445,"teacher_disagreement_score":0.023626342,"about_ca_system_score_codex":0.0021639543,"about_ca_system_score_gemma":0.0014053354,"threshold_uncertainty_score":0.04697764},"labels":[],"label_agreement":null},{"id":"W4297831600","doi":"10.31234/osf.io/h3neu","title":"Contextual Dynamics in Lexical Encoding across the Aging Spectrum: A Simulation Study","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Word lists by frequency; Psycholinguistics; Psychology; Word recognition; Optimal distinctiveness theory; Operationalization; Word (group theory); Cognition; Cognitive psychology; Computer science; Linguistics; Natural language processing; Social psychology; Sentence","score_opus":0.05102747469442191,"score_gpt":0.35470628393747244,"score_spread":0.3036788092430505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297831600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973882,0.00008666027,0.0015975825,0.000064312684,0.000006103982,0.000010483258,0.000102019156,0.000016579072,0.0007281232],"genre_scores_gemma":[0.99806315,0.00006409534,0.0013536889,0.000025160778,0.0000045767415,0.000017355216,0.0001631315,0.000009733667,0.00029915187],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997472,0.0001190735,0.000019221061,0.000052737356,0.000028702896,0.00003300836],"domain_scores_gemma":[0.9954325,0.0034414001,0.00025754108,0.0003849601,0.00027851586,0.000205122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009805546,0.00035851833,0.0004123368,0.00054177275,0.00025133748,0.0007280074,0.00053354126,0.00064525125,0.0026203103],"category_scores_gemma":[0.009124197,0.00021140689,0.0007306377,0.00040542422,0.0005797073,0.001400653,0.00082412,0.0006689516,0.00040841164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004449057,0.002886645,0.4595717,0.0006444929,0.0007368196,0.0036309804,0.013411618,0.3702808,0.0382519,0.02997105,0.0061024544,0.070062466],"study_design_scores_gemma":[0.00030168126,0.0010550426,0.090448126,0.00006846398,0.00024692144,0.0007696889,0.0020423941,0.866338,0.0037565161,0.032180015,0.0026757878,0.00011744287],"about_ca_topic_score_codex":0.008455164,"about_ca_topic_score_gemma":0.0063505857,"teacher_disagreement_score":0.008455164,"about_ca_system_score_codex":0.000503493,"about_ca_system_score_gemma":0.00030039318,"threshold_uncertainty_score":0.016811907},"labels":[],"label_agreement":null},{"id":"W4303437283","doi":"10.7202/1092190ar","title":"Revisiting simplification in corpus-based translation studies: Insights from readability research","year":2022,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Computer science; Natural language processing; Linguistics; Artificial intelligence; Set (abstract data type); Sentence; Vocabulary","score_opus":0.2309234669878421,"score_gpt":0.3783169797667931,"score_spread":0.14739351277895102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303437283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6785999,0.020991972,0.2500803,0.009778307,0.0004415678,0.00079577015,0.0017654732,0.00050128467,0.03704543],"genre_scores_gemma":[0.9606411,0.0023847101,0.033719797,0.0005220379,0.0003547624,0.00047930735,0.0008297191,0.00030478922,0.0007636605],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9384464,0.03848023,0.005360554,0.0059136795,0.011119133,0.0006799794],"domain_scores_gemma":[0.6038834,0.33359662,0.021900393,0.024133317,0.015638134,0.0008482259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.058738,0.0011025566,0.002290706,0.013943668,0.0024916928,0.008869708,0.002308234,0.0011325323,0.0026828006],"category_scores_gemma":[0.23618135,0.0008074108,0.0012339989,0.016520003,0.012878834,0.014622704,0.0067550726,0.0030285835,0.00052464136],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089413294,0.00036599243,0.1326744,0.0051114187,0.0014063849,0.001530035,0.3163346,0.005553617,0.007524788,0.14730355,0.0042527406,0.37704843],"study_design_scores_gemma":[0.00026274836,0.0010505135,0.37063795,0.0039721006,0.0011606009,0.001778895,0.10885509,0.029218242,0.014527518,0.4045333,0.063589886,0.00041316688],"about_ca_topic_score_codex":0.0050680297,"about_ca_topic_score_gemma":0.0056582983,"teacher_disagreement_score":0.058738,"about_ca_system_score_codex":0.0029040745,"about_ca_system_score_gemma":0.0024704237,"threshold_uncertainty_score":0.31063998},"labels":[],"label_agreement":null},{"id":"W4303437868","doi":"10.7202/1092189ar","title":"La traduction automatique des textes faciles à lire et à comprendre (FALC) : une étude comparative","year":2022,"lang":"fr","type":"article","venue":"Meta Journal des traducteurs","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Philosophy","score_opus":0.09756364640311707,"score_gpt":0.31695197860302293,"score_spread":0.21938833219990586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303437868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38882872,0.026635285,0.50673234,0.0021252753,0.00074280694,0.0016333971,0.00462399,0.037816305,0.03086198],"genre_scores_gemma":[0.56723505,0.008044331,0.3839061,0.0009888423,0.00020452889,0.0008799275,0.008136707,0.0049115266,0.025692979],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9945235,0.0020502815,0.0004691454,0.001201973,0.001569476,0.00018564625],"domain_scores_gemma":[0.9677109,0.02080865,0.0013727971,0.0046350528,0.005142005,0.0003305325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058565284,0.0012317331,0.001047688,0.001958079,0.0009875594,0.004379261,0.0010753543,0.0010621536,0.0054804957],"category_scores_gemma":[0.022059161,0.0007143568,0.0010490858,0.0019067978,0.0025188879,0.006037026,0.0017722322,0.001999673,0.0031488652],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013216411,0.00030492048,0.006306622,0.005918543,0.00027455317,0.0004262103,0.009729492,0.0048341826,0.09006684,0.010086454,0.010916786,0.8598137],"study_design_scores_gemma":[0.00046414803,0.002867815,0.025963385,0.0018611036,0.0011727194,0.0031034919,0.009100547,0.08361565,0.3348671,0.011511183,0.52479106,0.0006817922],"about_ca_topic_score_codex":0.013245931,"about_ca_topic_score_gemma":0.010564522,"teacher_disagreement_score":0.013245931,"about_ca_system_score_codex":0.0016870309,"about_ca_system_score_gemma":0.0024766487,"threshold_uncertainty_score":0.03097266},"labels":[],"label_agreement":null},{"id":"W4308183710","doi":"10.3233/shti220992","title":"What Can We Learn from Quality Requirements in ISO/TS 82304-2 for Evaluating Conversational Agents in Healthcare?","year":2022,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Usability; Readability; Computer science; Quality (philosophy); Set (abstract data type); Relevance (law); Health care; Work (physics); Process management; Risk analysis (engineering); Knowledge management; Human–computer interaction; Engineering; Business","score_opus":0.2701706356446133,"score_gpt":0.46908263442580905,"score_spread":0.19891199878119575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308183710","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04081054,0.029074699,0.749241,0.09262564,0.00550068,0.005455336,0.0015519693,0.0037975765,0.07194252],"genre_scores_gemma":[0.1975066,0.014171889,0.752996,0.014071668,0.0012661045,0.0092442045,0.0049797813,0.002270675,0.0034930243],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.6637423,0.12833904,0.05433147,0.0076051834,0.1406552,0.005326807],"domain_scores_gemma":[0.44190353,0.2593451,0.02908112,0.044797253,0.22083436,0.004038585],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.24051797,0.0036449493,0.004101775,0.014093306,0.0033741824,0.023563506,0.007495504,0.009258329,0.002583896],"category_scores_gemma":[0.43449455,0.001982183,0.004268064,0.008348042,0.010067212,0.02468484,0.008422072,0.011284365,0.0021225894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047111613,0.0015040669,0.017201005,0.019266143,0.0005318114,0.00068427203,0.01346989,0.013231189,0.012355268,0.4162013,0.046161506,0.45892242],"study_design_scores_gemma":[0.0004412923,0.0028020316,0.028842969,0.03854712,0.0009851555,0.001778933,0.014861767,0.046715282,0.021821037,0.46564692,0.37650537,0.0010521065],"about_ca_topic_score_codex":0.012104387,"about_ca_topic_score_gemma":0.00838389,"teacher_disagreement_score":0.24051797,"about_ca_system_score_codex":0.010790195,"about_ca_system_score_gemma":0.025619408,"threshold_uncertainty_score":0.93657655},"labels":[],"label_agreement":null},{"id":"W4309376528","doi":"10.2196/38095","title":"Medical Text Simplification Using Reinforcement Learning (TESLEA): Deep Learning–Based Text Simplification Approach","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"NOSM University; Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada; Lakehead University","keywords":"Computer science; Reinforcement learning; Readability; Annotation; Jargon; Fluency; Artificial intelligence; Natural language processing; Text simplification; Quality (philosophy); Relevance (law); Information retrieval; Linguistics","score_opus":0.02522489423537592,"score_gpt":0.28554218481581917,"score_spread":0.26031729058044323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309376528","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035762902,0.0013484567,0.9495124,0.0007016591,0.0002129722,0.00024946174,0.00045673596,0.009059869,0.0026954643],"genre_scores_gemma":[0.39681083,0.0010579757,0.5815251,0.00095251924,0.0003400235,0.0004027301,0.0034917665,0.0008171548,0.014601885],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991886,0.00023348012,0.00007741051,0.00021425646,0.00022216556,0.00006409428],"domain_scores_gemma":[0.9977736,0.0011188453,0.0002649067,0.00028987075,0.0004401463,0.00011270147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011450006,0.0011587853,0.0008828839,0.0012813758,0.00035737772,0.00073376443,0.0013581896,0.00095981185,0.003932158],"category_scores_gemma":[0.0047040014,0.00035629031,0.0011072003,0.00065316935,0.0005552687,0.0011731264,0.0010601418,0.0018361266,0.0018316853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039412777,0.00026662333,0.0017372898,0.00051925896,0.00012489986,0.00050834107,0.0003000023,0.21926057,0.03152556,0.003888818,0.018905083,0.7225694],"study_design_scores_gemma":[0.0000465706,0.00013068636,0.00047994367,0.00003702727,0.000048347596,0.00016766367,0.00004138877,0.9755407,0.013155701,0.004213457,0.00611904,0.00001943654],"about_ca_topic_score_codex":0.0032557764,"about_ca_topic_score_gemma":0.004961708,"teacher_disagreement_score":0.003932158,"about_ca_system_score_codex":0.00090024073,"about_ca_system_score_gemma":0.0012212971,"threshold_uncertainty_score":0.013154328},"labels":[],"label_agreement":null},{"id":"W4310243183","doi":"10.5430/wjel.v13n1p131","title":"Use of Google Translate for Translating Scientific Texts: An Investigation with Saudi English-Major Students","year":2022,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Arabic; Syntax; Computer science; Meaning (existential); Mathematics education; Sample (material); Dependency (UML); Psychology; Linguistics; Natural language processing; Artificial intelligence","score_opus":0.024816574279460404,"score_gpt":0.2755410390846637,"score_spread":0.25072446480520333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310243183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99887735,0.00007755108,0.0001403282,0.00016132371,0.0000060719585,0.00002634017,0.000010456264,0.0000042942884,0.0006963464],"genre_scores_gemma":[0.99689364,0.00042624367,0.00071901944,0.00030053692,0.000009359523,0.000031936917,0.00002892473,0.0000126294835,0.0015775958],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99680614,0.0014664911,0.00027506636,0.00019933087,0.0008937948,0.0003591098],"domain_scores_gemma":[0.98631173,0.005446395,0.0024432046,0.0005842229,0.0037532754,0.0014610608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005468668,0.00046499356,0.00047594414,0.0011897252,0.0021256772,0.00310889,0.0006707646,0.0008239081,0.0020247195],"category_scores_gemma":[0.016702259,0.00038473855,0.0004549287,0.00094167877,0.0013693874,0.0014942496,0.0014648045,0.0010598697,0.0011504869],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035658377,0.0018234858,0.22167777,0.00059732265,0.000041141546,0.00432083,0.7025122,0.00011287151,0.0110635245,0.00039458746,0.0012368311,0.05586293],"study_design_scores_gemma":[0.000045464232,0.0021966728,0.12306849,0.00026140365,0.000103857084,0.0046594907,0.8431469,0.0009302797,0.0063407877,0.0002695202,0.018864261,0.00011293638],"about_ca_topic_score_codex":0.003926369,"about_ca_topic_score_gemma":0.006056434,"teacher_disagreement_score":0.005468668,"about_ca_system_score_codex":0.00065411197,"about_ca_system_score_gemma":0.0017111615,"threshold_uncertainty_score":0.028921425},"labels":[],"label_agreement":null},{"id":"W4312190272","doi":"10.1352/1944-7558-128.1.96","title":"Résumés en Français","year":2022,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Download; Computer science; Information retrieval; World Wide Web; Programming language","score_opus":0.03253244248008126,"score_gpt":0.2609031443318721,"score_spread":0.22837070185179087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312190272","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009434808,0.021824166,0.0029420524,0.016961759,0.03156724,0.0003504567,0.012462283,0.001017171,0.90344006],"genre_scores_gemma":[0.015299421,0.0064428453,0.0011728643,0.0018961737,0.0015184638,0.00010370381,0.0044383765,0.00038787443,0.9687403],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831045,0.00036129155,0.00017723837,0.0003576355,0.00054115546,0.0002523167],"domain_scores_gemma":[0.99756765,0.0003060511,0.00018897567,0.0002808767,0.0010566484,0.0005999412],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014702904,0.0013832801,0.0009230597,0.0024607563,0.0035234587,0.005258036,0.001544141,0.001956056,0.5546342],"category_scores_gemma":[0.004573558,0.0004048526,0.0006197763,0.0034510498,0.001189033,0.003314325,0.0033513168,0.0018838358,0.32142103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022929294,0.00009922966,0.0020530757,0.0008569788,0.000028981378,0.00071433635,0.0014481372,0.00019854195,0.0010777587,0.025016194,0.7346243,0.2336532],"study_design_scores_gemma":[0.0000045198785,0.000015662967,0.00058290735,0.00011516048,0.0000022514,0.000111821086,0.00023247997,0.000019852958,0.00008664323,0.00053308177,0.9982901,0.000005425111],"about_ca_topic_score_codex":0.015128872,"about_ca_topic_score_gemma":0.017258186,"teacher_disagreement_score":0.5546342,"about_ca_system_score_codex":0.0024605843,"about_ca_system_score_gemma":0.004659197,"threshold_uncertainty_score":0.6352602},"labels":[],"label_agreement":null},{"id":"W4313469559","doi":"10.5539/ass.v19n1p1","title":"Readability and Simplicity of Arabic Political Discourse","year":2023,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Simplicity; Presidency; Arabic; Politics; Political science; Media studies; Linguistics; Law; Sociology; Epistemology; Philosophy","score_opus":0.022896580321759057,"score_gpt":0.32486401840779416,"score_spread":0.3019674380860351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313469559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98949105,0.00019576511,0.0010554916,0.00008603636,0.000008564256,0.000017775548,0.00006617316,0.000010631568,0.009068486],"genre_scores_gemma":[0.9991722,0.000041732917,0.000317734,0.000007002482,0.000010317167,0.000006703509,0.000050449467,0.0000049917116,0.00038893774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99780816,0.0010275794,0.00021594643,0.00018802627,0.0006781678,0.000082247],"domain_scores_gemma":[0.9786174,0.013276039,0.0043704244,0.0011188396,0.0022076974,0.0004095636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015670984,0.00024891572,0.00024236683,0.0023917549,0.0004809918,0.002197347,0.00020812386,0.00029366385,0.0030887844],"category_scores_gemma":[0.021045052,0.000096613105,0.00018502488,0.0011879246,0.0012006321,0.0017630619,0.0010695461,0.00040948237,0.0002389813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027977258,0.00034136462,0.42080414,0.001196617,0.00028564042,0.0022489333,0.29114023,0.0021475665,0.071609,0.022836465,0.001210413,0.18338193],"study_design_scores_gemma":[0.00004863976,0.00074608065,0.9114749,0.00014360942,0.000080627215,0.0013490779,0.055244185,0.0032313475,0.009579542,0.009251024,0.008757554,0.000093335664],"about_ca_topic_score_codex":0.00086037995,"about_ca_topic_score_gemma":0.000931115,"teacher_disagreement_score":0.0030887844,"about_ca_system_score_codex":0.00056296313,"about_ca_system_score_gemma":0.00016961004,"threshold_uncertainty_score":0.010333002},"labels":[],"label_agreement":null},{"id":"W4313589266","doi":"10.21203/rs.3.rs-2410184/v1","title":"Biomedical Text Readability and Cognitive Burden after Hypernym Substitution with Fine-Tuned Large Language Models","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Readability; Substitution (logic); Computer science; Cognition; Natural language processing; Linguistics; Artificial intelligence; Psychology; Programming language; Philosophy","score_opus":0.0669732686738143,"score_gpt":0.3703418086020396,"score_spread":0.30336853992822527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313589266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86399424,0.00077551435,0.12639585,0.001098768,0.00014681162,0.00009251402,0.001538203,0.0030579923,0.002900125],"genre_scores_gemma":[0.96339834,0.00016335121,0.03282064,0.000080108344,0.0000507924,0.00005000323,0.0016751459,0.0004446868,0.0013170579],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964767,0.001740539,0.00031314808,0.0007021275,0.00054748124,0.00021995245],"domain_scores_gemma":[0.9026606,0.081538275,0.0030468642,0.009279246,0.0026683456,0.0008067491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046106577,0.0006200378,0.00089464633,0.0012079782,0.0004672298,0.0021045653,0.0012020619,0.0009876917,0.00568975],"category_scores_gemma":[0.06330209,0.00040207853,0.00075449515,0.0012744259,0.0009457447,0.0044974405,0.0017542695,0.0016398934,0.0011250902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014256479,0.001785504,0.043421153,0.0013482885,0.0011263825,0.0019445985,0.0029482415,0.14971691,0.08307442,0.012261132,0.013994988,0.67412186],"study_design_scores_gemma":[0.0003744376,0.0007427757,0.028935233,0.00010769763,0.0006167901,0.0008271568,0.0009548718,0.8720025,0.04506361,0.04746808,0.0027616841,0.00014514512],"about_ca_topic_score_codex":0.0034989982,"about_ca_topic_score_gemma":0.0037336408,"teacher_disagreement_score":0.00568975,"about_ca_system_score_codex":0.0006498533,"about_ca_system_score_gemma":0.0009477301,"threshold_uncertainty_score":0.024383783},"labels":[],"label_agreement":null},{"id":"W4318929966","doi":"10.1037/cep0000303","title":"Text validation: Overlooking discrepancies in question constructions.","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interrogative; Interrogative word; Consistency (knowledge bases); Linguistics; Construct (python library); Verb; Psychology; Sentence; PsycINFO; Natural language processing; Computer science; Cognitive psychology; Artificial intelligence; Philosophy; MEDLINE","score_opus":0.039592660537402666,"score_gpt":0.31976434062296377,"score_spread":0.2801716800855611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318929966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94833875,0.00061388814,0.03375445,0.0010452353,0.00008310267,0.00020847666,0.0002014714,0.0003300084,0.015424621],"genre_scores_gemma":[0.9917647,0.00010149398,0.0064372397,0.00032685167,0.000021250427,0.00008139816,0.00019442341,0.00014772134,0.0009249376],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9829867,0.0099303825,0.0010049006,0.00220345,0.0035907028,0.00028389238],"domain_scores_gemma":[0.7391171,0.19767968,0.028532071,0.028610995,0.0051041474,0.00095597317],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.017844299,0.00044406086,0.0004965407,0.000886869,0.0007261459,0.0023525804,0.0013259351,0.0013027863,0.0035996928],"category_scores_gemma":[0.1984283,0.00053135416,0.00036724543,0.0006330605,0.0037986955,0.005571819,0.0038012858,0.0021482029,0.0005402788],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038378376,0.00096061395,0.20353712,0.0027597903,0.00048458163,0.0022493317,0.20413871,0.00170739,0.25566068,0.044240344,0.0038867428,0.27653682],"study_design_scores_gemma":[0.00041485086,0.0021765942,0.54923844,0.0017398635,0.00080778205,0.008026134,0.04453099,0.019201072,0.19967596,0.12048393,0.053374056,0.00033029116],"about_ca_topic_score_codex":0.00046212957,"about_ca_topic_score_gemma":0.00063889235,"teacher_disagreement_score":0.9821557,"about_ca_system_score_codex":0.0005996347,"about_ca_system_score_gemma":0.00060643395,"threshold_uncertainty_score":0.09437084},"labels":[],"label_agreement":null},{"id":"W4319082003","doi":"10.5489/cuaj.8169","title":"Difficult to read: An analysis of urology publications using readability tools","year":2023,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Ottawa; Queen's University","funders":"","keywords":"Readability; Computer science; Urology; Medicine; Programming language","score_opus":0.056154078180344576,"score_gpt":0.2875564630730842,"score_spread":0.23140238489273962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319082003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974162,0.0035579891,0.0045963256,0.0006378095,0.00013416471,0.00040688404,0.008481582,0.00036274496,0.0076606194],"genre_scores_gemma":[0.9773146,0.0013158247,0.008490658,0.00019550584,0.00019062214,0.00036027955,0.009322846,0.00032624434,0.0024834408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.97362334,0.0061907475,0.0072725783,0.0015396276,0.010487389,0.000886316],"domain_scores_gemma":[0.53948057,0.32081214,0.080887556,0.00875662,0.04576437,0.004298797],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.013745268,0.0005874134,0.00090479624,0.02890022,0.0010697749,0.004437452,0.0011512772,0.0007521263,0.0046639424],"category_scores_gemma":[0.22353737,0.0002790909,0.0016925691,0.02314869,0.0010064155,0.004227824,0.0030075582,0.00088187715,0.00088314805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016195996,0.00035604014,0.8023165,0.0032748387,0.001179183,0.0012199605,0.018932905,0.000902513,0.002532871,0.001138826,0.0074185217,0.15910822],"study_design_scores_gemma":[0.00006588584,0.0004911936,0.96639264,0.00082480506,0.0007978481,0.0017898743,0.010934315,0.0021399907,0.0019385833,0.0014685703,0.013035665,0.00012073007],"about_ca_topic_score_codex":0.0032501593,"about_ca_topic_score_gemma":0.0037594368,"teacher_disagreement_score":0.98625475,"about_ca_system_score_codex":0.0013818061,"about_ca_system_score_gemma":0.001910415,"threshold_uncertainty_score":0.07269275},"labels":[],"label_agreement":null},{"id":"W4320161966","doi":"10.7202/1095682ar","title":"ILSA: an automated language complexity analysis tool for French","year":2021,"lang":"fr","type":"article","venue":"Mesure et évaluation en éducation","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Vocabulary; Natural language processing; Sentence; Artificial intelligence; Variance (accounting); Spectrum analyzer; Linguistics","score_opus":0.1296194640007061,"score_gpt":0.4205212441199161,"score_spread":0.29090178011921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320161966","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25541842,0.00057238876,0.49483457,0.00044783662,0.000072402996,0.0012187284,0.06746306,0.16861098,0.011361624],"genre_scores_gemma":[0.42986277,0.00036514044,0.46582192,0.00013554048,0.00007125371,0.001757606,0.08547768,0.004983154,0.011524942],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926585,0.00022782048,0.00008127273,0.00013416435,0.00024816717,0.000042845775],"domain_scores_gemma":[0.9957841,0.0023879984,0.00044644286,0.00021049245,0.00106699,0.00010398045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007748787,0.0013455854,0.00050127413,0.006422434,0.0005018383,0.00122447,0.0004866375,0.00037967524,0.011627967],"category_scores_gemma":[0.005910108,0.0003292032,0.0007805504,0.0020331203,0.00030858864,0.0012867673,0.00070147216,0.0005205602,0.0030080718],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073569606,0.0004249489,0.07822054,0.0016274917,0.0004046855,0.0010146217,0.004656727,0.020937284,0.056797314,0.0052355095,0.070410006,0.7595352],"study_design_scores_gemma":[0.00024921406,0.0007812719,0.29827547,0.0002976382,0.0002487738,0.0018778146,0.0019919043,0.47191426,0.04791873,0.0058730165,0.17021602,0.00035590725],"about_ca_topic_score_codex":0.04652447,"about_ca_topic_score_gemma":0.042330887,"teacher_disagreement_score":0.04652447,"about_ca_system_score_codex":0.0013628036,"about_ca_system_score_gemma":0.0014879473,"threshold_uncertainty_score":0.0925073},"labels":[],"label_agreement":null},{"id":"W4321370343","doi":"10.1352/1944-7558-128.2.181","title":"Résumés en Français","year":2023,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; World Wide Web; Information retrieval; Programming language","score_opus":0.04369313419022415,"score_gpt":0.28091875655433335,"score_spread":0.2372256223641092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321370343","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020241,0.01756562,0.002285047,0.013310155,0.01201403,0.00030075098,0.0149259,0.00064786075,0.91870964],"genre_scores_gemma":[0.030746799,0.007357416,0.0011614416,0.0022638266,0.0007791041,0.00013424149,0.005360611,0.00031335585,0.95188314],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982541,0.00044731042,0.00015441485,0.0003150327,0.00053441426,0.00029459476],"domain_scores_gemma":[0.9974802,0.0003548069,0.00023105169,0.00027398946,0.0010492099,0.0006106548],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015986741,0.000991222,0.0007218162,0.002138958,0.0034313842,0.0048735486,0.0011649106,0.001394539,0.4573615],"category_scores_gemma":[0.005048587,0.00031776467,0.00058817555,0.0042315032,0.001041137,0.0026074725,0.0030457797,0.001687496,0.22180724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026147423,0.00015057907,0.00821789,0.0010805205,0.00004449598,0.0008532838,0.0038203509,0.0002055551,0.0010243546,0.03671205,0.62581825,0.3218112],"study_design_scores_gemma":[0.0000062106137,0.000023468965,0.0025012835,0.0001926066,0.0000041437906,0.00014184717,0.00069751474,0.000022869119,0.000077699595,0.0005514679,0.99577314,0.000007735051],"about_ca_topic_score_codex":0.03185079,"about_ca_topic_score_gemma":0.037539616,"teacher_disagreement_score":0.54263854,"about_ca_system_score_codex":0.0026932315,"about_ca_system_score_gemma":0.006513137,"threshold_uncertainty_score":0.774008},"labels":[],"label_agreement":null},{"id":"W4322210710","doi":"10.31234/osf.io/hy2dj","title":"More than Words: Speech production in first episode psychosis predicts later social and vocational functioning.","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute; Lawson Health Research Institute; Western University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Academic Medical Organization of Southwestern Ontario; McGill University; Chrysalis","keywords":"Psychology; Psychosis; Socioeconomic status; Schizophrenia (object-oriented programming); Vocational education; Psychosocial; Developmental psychology; Antipsychotic; Clinical psychology; Cognitive psychology; Psychiatry; Medicine","score_opus":0.04941969443484621,"score_gpt":0.28871508670116547,"score_spread":0.23929539226631927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322210710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982931,0.00013833382,0.0009228774,0.00006759556,0.000007420901,0.00001041755,0.00021466936,0.000013617219,0.0003319858],"genre_scores_gemma":[0.9991266,0.000042062726,0.0003365376,0.000008030928,0.0000040891696,0.000008601725,0.00024864377,0.000003344451,0.00022210433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996164,0.00012082594,0.000032466407,0.00011656165,0.00006968676,0.000044069584],"domain_scores_gemma":[0.99737036,0.0014381579,0.0007629034,0.00012020511,0.00012491143,0.00018337203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012089659,0.0004854847,0.00026219757,0.0005801119,0.00030115852,0.00071126764,0.0002549877,0.00042180403,0.003388685],"category_scores_gemma":[0.0064158165,0.00020767072,0.00038738953,0.00029252574,0.0003360302,0.0004637058,0.00056734274,0.00047833758,0.00045069217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007581076,0.00006806905,0.975662,0.000045091325,0.00011025604,0.00016299807,0.0003702513,0.0018546007,0.0027087466,0.00009427965,0.00016640467,0.017999182],"study_design_scores_gemma":[0.000007818708,0.00015218815,0.98514545,0.000028655393,0.000055158755,0.00033397347,0.0002259879,0.012642473,0.0005369137,0.00070439273,0.00015704817,0.000009990013],"about_ca_topic_score_codex":0.004382634,"about_ca_topic_score_gemma":0.003951083,"teacher_disagreement_score":0.004382634,"about_ca_system_score_codex":0.00043124222,"about_ca_system_score_gemma":0.0003523469,"threshold_uncertainty_score":0.011336267},"labels":[],"label_agreement":null},{"id":"W4361281563","doi":"10.31730/osf.io/cmb7x","title":"Individual Differences in Leveraging Regularity in Emergent L2 Readers in Rural Côte d’Ivoire","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Orthography; Reading (process); Psychology; Literacy; Consistency (knowledge bases); Linguistics; Leverage (statistics); Contrast (vision); Cognitive psychology; Computer science; Artificial intelligence","score_opus":0.11367268561229299,"score_gpt":0.29261490160200937,"score_spread":0.17894221598971638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361281563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997234,0.000016944741,0.00004313646,0.000010609727,6.007232e-7,0.0000024191559,0.000021319118,0.0000021323888,0.00017952216],"genre_scores_gemma":[0.9995283,0.000010292967,0.000043011558,0.000007500022,4.958807e-7,0.000003223428,0.000024889667,0.000002555653,0.00037976212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996232,0.0000704265,0.000026642569,0.0001535363,0.00004800243,0.000078067584],"domain_scores_gemma":[0.9978847,0.0008606438,0.0005580305,0.00016258904,0.00030020575,0.00023382723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008143728,0.00038502034,0.0002554169,0.0010490188,0.00058919337,0.0011154589,0.0002628764,0.0005671354,0.0033002633],"category_scores_gemma":[0.004271941,0.00020924151,0.0001515613,0.00042370093,0.0006973635,0.00057504093,0.0005518534,0.00041327768,0.00045094895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029666978,0.00016041556,0.94860446,0.000033890883,0.00005194211,0.00047012887,0.032599136,0.00022333323,0.00818348,0.00010306168,0.00018280989,0.009090618],"study_design_scores_gemma":[0.0000033353297,0.00012861124,0.99420244,0.0000071565355,0.0000063742114,0.00016586961,0.004744415,0.00016922597,0.0002852674,0.0000729975,0.00020730087,0.000007055797],"about_ca_topic_score_codex":0.05349563,"about_ca_topic_score_gemma":0.061171975,"teacher_disagreement_score":0.05349563,"about_ca_system_score_codex":0.0006572104,"about_ca_system_score_gemma":0.00024008483,"threshold_uncertainty_score":0.10636854},"labels":[],"label_agreement":null},{"id":"W4365139124","doi":"10.15398/jlm.v10i2.263","title":"Simplicity and learning to distinguish arguments from modifiers","year":2022,"lang":"en","type":"article","venue":"Journal of Language Modelling","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Canadian Institute for Advanced Research","funders":"","keywords":"Argument (complex analysis); Lexicon; Simplicity; Learnability; Computer science; Simple (philosophy); Argument map; Artificial intelligence; Natural language processing; Linguistics; Epistemology; Philosophy","score_opus":0.020543879023698513,"score_gpt":0.2515011090621402,"score_spread":0.23095723003844168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365139124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37468454,0.00071090966,0.60518044,0.0038065917,0.00009478695,0.00013014948,0.0005450905,0.0011155359,0.0137319425],"genre_scores_gemma":[0.9431992,0.00022070901,0.052466445,0.0003950807,0.00009290828,0.00008893093,0.00066251453,0.00022893882,0.0026453263],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.993948,0.0026245078,0.00041998213,0.00148922,0.0012651122,0.00025308592],"domain_scores_gemma":[0.9354948,0.05234287,0.0032502175,0.006488163,0.0016670086,0.00075693126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009605183,0.001059961,0.001019058,0.0024295326,0.000968392,0.0044566337,0.002105573,0.0024292031,0.0053613097],"category_scores_gemma":[0.06524683,0.00097004813,0.0017462581,0.0013129101,0.0053976816,0.018442005,0.0057167737,0.0045946594,0.0010397246],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001164197,0.00032633697,0.073057875,0.0009188422,0.00056141405,0.00095392106,0.0061327107,0.078785256,0.03605828,0.33161592,0.0057862904,0.46463904],"study_design_scores_gemma":[0.00008965139,0.00020529865,0.020049753,0.00009327454,0.00012047311,0.00076182245,0.00069488236,0.26500732,0.016221246,0.6908274,0.0058080168,0.00012082497],"about_ca_topic_score_codex":0.0012926962,"about_ca_topic_score_gemma":0.0013925366,"teacher_disagreement_score":0.009605183,"about_ca_system_score_codex":0.0017210091,"about_ca_system_score_gemma":0.0007447497,"threshold_uncertainty_score":0.0507977},"labels":[],"label_agreement":null},{"id":"W4367173206","doi":"10.1352/1944-7558-128.3.269","title":"Résumés en Français","year":2023,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; World Wide Web; Information retrieval; Programming language","score_opus":0.04369313419022415,"score_gpt":0.28091875655433335,"score_spread":0.2372256223641092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367173206","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010653197,0.012554294,0.0016723437,0.0131072495,0.013515281,0.00025340315,0.011964349,0.00064765656,0.9356322],"genre_scores_gemma":[0.020267742,0.0056663905,0.00088161946,0.0016885326,0.00074233353,0.00010885763,0.0052610305,0.00031411197,0.9650694],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981183,0.0004122742,0.0001797413,0.00031948276,0.0006276053,0.00034250406],"domain_scores_gemma":[0.99727386,0.0003103266,0.00020323612,0.00027878955,0.0013162399,0.00061745255],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015169423,0.0011351736,0.0007417695,0.0025602293,0.0040697437,0.005522813,0.0013650345,0.0016548447,0.4911699],"category_scores_gemma":[0.0050150123,0.00032341026,0.0005488555,0.0044763093,0.0011648446,0.003185571,0.0031977575,0.0017918199,0.2618811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018011172,0.000087383036,0.0026618228,0.00079870183,0.000023572133,0.0006821285,0.0024588613,0.00017117859,0.0007983333,0.03257122,0.7710013,0.18856536],"study_design_scores_gemma":[0.000004224005,0.000013532008,0.0009802354,0.00013246486,0.000002217732,0.00009519245,0.0005097295,0.000018174278,0.00006630748,0.0004156797,0.99775606,0.000006140694],"about_ca_topic_score_codex":0.04054442,"about_ca_topic_score_gemma":0.042338576,"teacher_disagreement_score":0.4911699,"about_ca_system_score_codex":0.0036341785,"about_ca_system_score_gemma":0.0072686346,"threshold_uncertainty_score":0.72578436},"labels":[],"label_agreement":null},{"id":"W4367558144","doi":"10.3390/math11092063","title":"Text Simplification to Specific Readability Levels","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; King Saud University","keywords":"Readability; Computer science; Sentence; Classifier (UML); Artificial intelligence; Natural language processing; Task (project management); Text simplification; Programming language","score_opus":0.08187653957215646,"score_gpt":0.30157016578413276,"score_spread":0.2196936262119763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367558144","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29493967,0.0018072977,0.63559216,0.0009005658,0.00032273625,0.0005342107,0.0047874628,0.04300419,0.018111652],"genre_scores_gemma":[0.7434807,0.0004716759,0.22860873,0.00037213825,0.0001383935,0.00033082694,0.011282677,0.0017129937,0.013601923],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99816716,0.00028136434,0.00015627954,0.00083971483,0.00044772384,0.00010776734],"domain_scores_gemma":[0.99320954,0.002625741,0.0009420684,0.0015893586,0.0013925432,0.00024076055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010773051,0.0013033473,0.000970656,0.0013018269,0.00041437044,0.0012887635,0.0012386321,0.00076857564,0.007901552],"category_scores_gemma":[0.013301083,0.0004678216,0.0010178157,0.0006611472,0.0005946304,0.0035146317,0.0017006228,0.0019802642,0.003711953],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011165844,0.0004267865,0.016428987,0.0011872163,0.00021041461,0.0005722773,0.0009798136,0.044569083,0.19232604,0.00489311,0.021036759,0.7162529],"study_design_scores_gemma":[0.00013133863,0.0007924839,0.03860219,0.0001823286,0.00024068638,0.0009199452,0.0004847567,0.62171715,0.2557233,0.021912934,0.05911437,0.00017850744],"about_ca_topic_score_codex":0.002325103,"about_ca_topic_score_gemma":0.0036658586,"teacher_disagreement_score":0.007901552,"about_ca_system_score_codex":0.00092415174,"about_ca_system_score_gemma":0.00056951423,"threshold_uncertainty_score":0.026433289},"labels":[],"label_agreement":null},{"id":"W4380318953","doi":"10.1037/xge0001407","title":"Comparing word frequency, semantic diversity, and semantic distinctiveness in lexical organization.","year":2023,"lang":"en","type":"article","venue":"Journal of Experimental Psychology General","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optimal distinctiveness theory; Lexical decision task; Variety (cybernetics); Context (archaeology); Word lists by frequency; Variance (accounting); Computer science; Natural language processing; Word (group theory); Lexical diversity; Linguistics; Contrast (vision); Psychology; Semantic similarity; Metric (unit); Artificial intelligence; Cognition; Social psychology; History","score_opus":0.057294112566049486,"score_gpt":0.33096322800508265,"score_spread":0.27366911543903316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380318953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824838,0.0013658169,0.0047017667,0.00032952687,0.000057260448,0.00007060796,0.0006719905,0.000027220056,0.010292031],"genre_scores_gemma":[0.9921367,0.0004060926,0.0048393933,0.00015266352,0.000037513735,0.00016168227,0.0010568165,0.000037736238,0.0011715315],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980921,0.00061484595,0.00021942459,0.00062625436,0.00035444263,0.000092917304],"domain_scores_gemma":[0.9722343,0.020224556,0.0045799213,0.0014811651,0.0009794928,0.0005005627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039980826,0.00043078267,0.0004108777,0.003971338,0.000694938,0.0025382228,0.0006587129,0.0008554342,0.0044234386],"category_scores_gemma":[0.038069047,0.00033637587,0.0005933967,0.0040959693,0.0016514418,0.0061540795,0.0023336469,0.0011577532,0.0006548882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007281533,0.00032696853,0.82578254,0.0007971239,0.00056093436,0.00037014435,0.018236045,0.00075442786,0.0072855446,0.008594935,0.002250575,0.13431257],"study_design_scores_gemma":[0.000023462891,0.00020285226,0.9816839,0.00016362184,0.00011110988,0.00020308298,0.003975681,0.002515357,0.00083332334,0.008443513,0.0017889814,0.00005501728],"about_ca_topic_score_codex":0.0076025804,"about_ca_topic_score_gemma":0.014756194,"teacher_disagreement_score":0.0076025804,"about_ca_system_score_codex":0.00084779836,"about_ca_system_score_gemma":0.00067226536,"threshold_uncertainty_score":0.021144152},"labels":[],"label_agreement":null},{"id":"W4381856832","doi":"10.13001/jtilt.v2i1.7663","title":"Writing Effective Alt-text for Online Instructional Materials","year":2023,"lang":"en","type":"article","venue":"Journal of Technology-Integrated Lessons and Teaching","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Checklist; Context (archaeology); Space (punctuation); Multimedia; Psychology; Cognitive psychology","score_opus":0.01831035615465189,"score_gpt":0.3061146976422623,"score_spread":0.2878043414876104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381856832","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20994744,0.0016418297,0.34930348,0.005860512,0.002581364,0.0047801947,0.0031461595,0.0093064485,0.41343248],"genre_scores_gemma":[0.27965096,0.001431976,0.5599003,0.0011882713,0.00031460958,0.0015066204,0.002812701,0.0012587347,0.15193585],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992648,0.00016382006,0.00007812084,0.00008333107,0.00034320075,0.000066745524],"domain_scores_gemma":[0.9979074,0.0011300256,0.00020242426,0.00025209002,0.0003643637,0.00014364657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008004187,0.00057589525,0.0003439216,0.0004490074,0.00043131254,0.0014399731,0.0010955251,0.0007354554,0.03196766],"category_scores_gemma":[0.0053246366,0.00018519696,0.0003308992,0.00035303683,0.0003838452,0.002115161,0.0011708328,0.0010957908,0.011084777],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015561738,0.0008777759,0.0016744955,0.0016520068,0.000010793408,0.00084512826,0.0051981905,0.0020522785,0.05017923,0.02044631,0.11358316,0.803325],"study_design_scores_gemma":[0.000116989315,0.0008052402,0.008586247,0.0010348654,0.000027241156,0.0014705849,0.004905897,0.0061401664,0.084078416,0.028942361,0.8638008,0.00009116873],"about_ca_topic_score_codex":0.00020409764,"about_ca_topic_score_gemma":0.00079926825,"teacher_disagreement_score":0.03196766,"about_ca_system_score_codex":0.00035458792,"about_ca_system_score_gemma":0.00070436974,"threshold_uncertainty_score":0.106942534},"labels":[],"label_agreement":null},{"id":"W4384937799","doi":"10.1352/1944-7558-128.4.344","title":"Résumés en Français","year":2023,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; World Wide Web; Information retrieval; Programming language","score_opus":0.04369313419022415,"score_gpt":0.28091875655433335,"score_spread":0.2372256223641092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384937799","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009571707,0.013640065,0.0019313097,0.014586301,0.018785886,0.0002970302,0.015250442,0.0008814363,0.92505586],"genre_scores_gemma":[0.014330819,0.0050504315,0.00085110374,0.0017665882,0.00088888186,0.00010196209,0.0054973667,0.0003579457,0.9711549],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99826616,0.000361403,0.00016712325,0.00031345297,0.0005377633,0.0003541186],"domain_scores_gemma":[0.99735224,0.000272392,0.00019664336,0.00024806114,0.0012030448,0.00072758226],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014019114,0.001206796,0.00076154136,0.002368678,0.0036540886,0.005420829,0.0013388373,0.0017140639,0.56575614],"category_scores_gemma":[0.004789684,0.0003716107,0.00056166796,0.0036030381,0.0010561635,0.0029698943,0.0031468181,0.0017975962,0.34545317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014954846,0.00008040935,0.0023872745,0.00060136156,0.000020453654,0.00054905505,0.0011690342,0.00012966122,0.0007254659,0.02018878,0.80419797,0.16980095],"study_design_scores_gemma":[0.0000045075612,0.000014328674,0.0009319105,0.0001235676,0.0000019517918,0.00010558116,0.00030767728,0.000018324698,0.00006364976,0.0003507477,0.99807173,0.0000060685315],"about_ca_topic_score_codex":0.031028371,"about_ca_topic_score_gemma":0.0353718,"teacher_disagreement_score":0.43424386,"about_ca_system_score_codex":0.0027319593,"about_ca_system_score_gemma":0.0063563953,"threshold_uncertainty_score":0.61939615},"labels":[],"label_agreement":null},{"id":"W4385572402","doi":"10.18653/v1/2023.bea-1.43","title":"CEFR-based Contextual Lexical Complexity Classifier in English and French","year":2023,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CBC (Canada)","funders":"","keywords":"Computer science; Natural language processing; Artificial intelligence; Classifier (UML); Perspective (graphical); Lexical choice; Lexical item; Linguistics","score_opus":0.07541358480765059,"score_gpt":0.28329778466675754,"score_spread":0.20788419985910694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385572402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.566736,0.006638207,0.35650337,0.001277909,0.00060940534,0.00058671593,0.01193394,0.020901456,0.034813073],"genre_scores_gemma":[0.8378398,0.0006630863,0.13274352,0.0003195165,0.00021062884,0.00031468464,0.018015482,0.00053911976,0.009354249],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838614,0.000298061,0.0001136081,0.00064012303,0.0003576981,0.00020439007],"domain_scores_gemma":[0.9974994,0.0011899525,0.00012770602,0.00024058066,0.00081569026,0.00012663029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001316154,0.0012876512,0.00091615616,0.0038383026,0.00084768806,0.0019375908,0.0010742709,0.0014276752,0.0042540277],"category_scores_gemma":[0.0058976994,0.00018657466,0.0010298182,0.0013637196,0.0004074257,0.002291688,0.0011307057,0.0012173946,0.0030178635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018349579,0.0005216733,0.035850257,0.0007880737,0.00035628537,0.0014452778,0.00087448163,0.03359141,0.040652677,0.008045476,0.03237783,0.8436615],"study_design_scores_gemma":[0.00013814763,0.0005500442,0.052914023,0.00028234787,0.00033590262,0.0018642959,0.0016054477,0.8431262,0.036768936,0.008385689,0.053827923,0.00020107072],"about_ca_topic_score_codex":0.020406619,"about_ca_topic_score_gemma":0.027136613,"teacher_disagreement_score":0.020406619,"about_ca_system_score_codex":0.0013138365,"about_ca_system_score_gemma":0.0010902757,"threshold_uncertainty_score":0.040575624},"labels":[],"label_agreement":null},{"id":"W4385572792","doi":"10.18653/v1/2022.emnlp-demos.24","title":"Arabic Word-level Readability Visualization for Assisted Text Simplification","year":2022,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Computer science; Readability; WordNet; Natural language processing; Lemmatisation; Visualization; Artificial intelligence; Lexicon; Task (project management); Arabic; Reading (process); Word (group theory); Component (thermodynamics); Information retrieval; Programming language; Linguistics","score_opus":0.07738544741331606,"score_gpt":0.31193981962727757,"score_spread":0.23455437221396153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385572792","genre_codex":"software","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020481262,0.000767474,0.20968343,0.00074353255,0.0008632523,0.0005326533,0.039388146,0.70041513,0.027125128],"genre_scores_gemma":[0.17358403,0.0011731698,0.6172195,0.00094524754,0.00064389047,0.0013847635,0.06729221,0.10777433,0.029982815],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942696,0.000087304164,0.000052634456,0.00012995263,0.00023603596,0.000067130335],"domain_scores_gemma":[0.9964322,0.0014961234,0.00020237885,0.00053029705,0.0011345515,0.00020447095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007273968,0.003018674,0.0008966736,0.003999596,0.0004930816,0.0020783155,0.0010701275,0.00081249553,0.1074777],"category_scores_gemma":[0.007298949,0.0005619587,0.00096122664,0.0013075112,0.0002535119,0.0024903587,0.002709866,0.0012692382,0.03188759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022233168,0.00020685238,0.002738422,0.0022418317,0.000147597,0.0012108594,0.0019050455,0.0021614658,0.054582927,0.0033362175,0.38607466,0.5431708],"study_design_scores_gemma":[0.0006165264,0.0003894176,0.01637318,0.0009799924,0.00025497624,0.001838927,0.0010806454,0.09969732,0.19311479,0.016553445,0.6685548,0.00054608297],"about_ca_topic_score_codex":0.0015643276,"about_ca_topic_score_gemma":0.0024100477,"teacher_disagreement_score":0.1074777,"about_ca_system_score_codex":0.0004072999,"about_ca_system_score_gemma":0.0003672608,"threshold_uncertainty_score":0.3595487},"labels":[],"label_agreement":null},{"id":"W4386241845","doi":"10.1352/1944-7558-128.5.393","title":"Résumés en Français","year":2023,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; World Wide Web; Information retrieval; Programming language","score_opus":0.04369313419022415,"score_gpt":0.28091875655433335,"score_spread":0.2372256223641092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386241845","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012354974,0.010587474,0.0011246076,0.01158834,0.008821441,0.00022115755,0.013687504,0.0004668073,0.9411476],"genre_scores_gemma":[0.021125333,0.0046795886,0.0006060847,0.0014186631,0.0004635372,0.00009884724,0.004928931,0.00023942658,0.9664397],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982141,0.00040570338,0.00015928944,0.00027904758,0.0005460283,0.00039570706],"domain_scores_gemma":[0.9976452,0.00026048828,0.00016843925,0.0002454533,0.0011364268,0.0005439422],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013924543,0.0011140513,0.0007433457,0.0027000678,0.004773618,0.0056606038,0.0013147659,0.0015303108,0.46940887],"category_scores_gemma":[0.0044552204,0.00033727498,0.00052886363,0.005434199,0.001151365,0.0029444166,0.0030293711,0.0017538412,0.21650113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001577841,0.00009415351,0.0032723697,0.00073710585,0.000024584282,0.0006583554,0.0031576646,0.00015852647,0.00061592436,0.037120655,0.80116135,0.15284133],"study_design_scores_gemma":[0.0000043816694,0.000012652472,0.0014689321,0.0001389587,0.0000022380527,0.000077927514,0.0007523451,0.00001720713,0.000062180145,0.00039152458,0.99706477,0.000006725018],"about_ca_topic_score_codex":0.07652841,"about_ca_topic_score_gemma":0.08457459,"teacher_disagreement_score":0.46940887,"about_ca_system_score_codex":0.004594169,"about_ca_system_score_gemma":0.0092259925,"threshold_uncertainty_score":0.75682384},"labels":[],"label_agreement":null},{"id":"W4386339136","doi":"10.18653/v1/2022.tsar-1.29","title":"RCML at TSAR-2022 Shared Task: Lexical Simplification With Modular Substitution Candidate Ranking","year":2022,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CBC (Canada)","funders":"","keywords":"Substitution (logic); Computer science; Natural language processing; Task (project management); Ranking (information retrieval); Modular design; Artificial intelligence; Simplicity; Similarity (geometry); Word (group theory); Semantic similarity; Information retrieval; Linguistics; Programming language; Engineering","score_opus":0.013976155098637671,"score_gpt":0.22354935231361558,"score_spread":0.2095731972149779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386339136","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16135174,0.0037383323,0.34506285,0.0036350747,0.005701363,0.0032891931,0.06361524,0.33616847,0.077437714],"genre_scores_gemma":[0.3918618,0.00054825324,0.2859628,0.0019821709,0.0012922426,0.0022230637,0.24741523,0.023209807,0.045504685],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99017966,0.0031009666,0.0007358891,0.0022059458,0.002698829,0.0010787077],"domain_scores_gemma":[0.9881123,0.0031018036,0.0003888196,0.0043774075,0.0032614544,0.0007581991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005566561,0.00492642,0.0037908468,0.00304383,0.002535526,0.0048386706,0.006365501,0.0035771977,0.064268045],"category_scores_gemma":[0.022282362,0.0014380243,0.0027681657,0.0021005834,0.0012640397,0.0069246227,0.008947387,0.0048323832,0.052059293],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001963979,0.0008671521,0.0020942548,0.0015376649,0.00041043674,0.0012085228,0.000531455,0.011380621,0.038236085,0.00572334,0.5627714,0.37327507],"study_design_scores_gemma":[0.0034086679,0.0029001096,0.009523791,0.00037104802,0.00061794557,0.004016863,0.0018571184,0.4597785,0.11418079,0.037534818,0.36495087,0.0008595122],"about_ca_topic_score_codex":0.009885743,"about_ca_topic_score_gemma":0.01964572,"teacher_disagreement_score":0.064268045,"about_ca_system_score_codex":0.0018018109,"about_ca_system_score_gemma":0.004990387,"threshold_uncertainty_score":0.21499807},"labels":[],"label_agreement":null},{"id":"W4386950453","doi":"10.3389/frai.2023.1223924","title":"MeaningBERT: assessing meaning preservation between sentences","year":2023,"lang":"en","type":"article","venue":"Frontiers in Artificial Intelligence","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Meaning (existential); Linguistics; Psychology; Natural language processing; Computer science; Philosophy; Epistemology","score_opus":0.10614501263648841,"score_gpt":0.3312490320625678,"score_spread":0.22510401942607938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386950453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5194662,0.013995696,0.34113026,0.0010568384,0.001061161,0.00244369,0.060944095,0.034021676,0.025880363],"genre_scores_gemma":[0.586092,0.0015396402,0.2988443,0.00038757428,0.0002852302,0.0017662602,0.10315179,0.0021797637,0.0057535586],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9928405,0.0019907055,0.0012472552,0.0010680098,0.0026309255,0.00022261748],"domain_scores_gemma":[0.9668197,0.01978639,0.0037706166,0.0038862964,0.005171966,0.00056497304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048711533,0.0017867653,0.00086063944,0.009343952,0.001051405,0.0020576809,0.0011665667,0.0015671446,0.004024947],"category_scores_gemma":[0.049075518,0.0002775749,0.0010365315,0.0049559814,0.0011060007,0.005070267,0.0029641446,0.0011639644,0.0023595742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019311773,0.0004855273,0.061106976,0.007266277,0.001347895,0.0006863789,0.003775736,0.015463489,0.03559429,0.0066097206,0.06959832,0.7961343],"study_design_scores_gemma":[0.00077534164,0.005480211,0.2780416,0.0012985581,0.0017606828,0.004115694,0.0065035424,0.2938265,0.1612123,0.05195966,0.19418328,0.0008425863],"about_ca_topic_score_codex":0.0019599837,"about_ca_topic_score_gemma":0.0044131293,"teacher_disagreement_score":0.009343952,"about_ca_system_score_codex":0.00096876617,"about_ca_system_score_gemma":0.0010514801,"threshold_uncertainty_score":0.025761485},"labels":[],"label_agreement":null},{"id":"W4387376139","doi":"10.5430/wjel.v13n8p299","title":"Unveiling the Role of Explicit Metadiscourse Instruction, Language Proficiency, and Content Familiarity in EFL Reading Comprehension: A Comprehensive Review","year":2023,"lang":"en","type":"review","venue":"World Journal of English Language","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metadiscourse; Comprehension; Reading comprehension; Context (archaeology); Psychology; Computer science; Reading (process); Linguistics","score_opus":0.05873227492118983,"score_gpt":0.32814316039857183,"score_spread":0.269410885477382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387376139","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012199491,0.9994973,0.000052700445,0.00007872919,0.00003146449,0.0000060896496,0.000010615635,0.0000026267949,0.00019848903],"genre_scores_gemma":[0.00077222544,0.99892163,0.00014774791,0.000064062675,0.000025522257,0.00001040762,0.0000130773315,8.1427874e-7,0.00004459578],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992761,0.00018849998,0.00022390073,0.00010592795,0.00017091952,0.000034571814],"domain_scores_gemma":[0.99497944,0.0038785937,0.00049503666,0.00006846777,0.00048812048,0.0000902772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019221003,0.0010443993,0.002662414,0.004352541,0.00031947545,0.001604035,0.0011491221,0.0015389374,0.0022168315],"category_scores_gemma":[0.0063795038,0.00055920804,0.0014695395,0.003914948,0.0006856086,0.001976025,0.0009625211,0.0013296454,0.00065572286],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010055771,0.00008219249,0.00046195026,0.26942033,0.0006980248,0.00014940833,0.00034220295,0.0002211121,0.000816271,0.0015028261,0.0055136797,0.7206914],"study_design_scores_gemma":[0.00010237426,0.0007177239,0.010222076,0.27368134,0.010686577,0.0021614248,0.00087660516,0.00027146173,0.0017504095,0.0028677995,0.6965452,0.000116930016],"about_ca_topic_score_codex":0.0032967238,"about_ca_topic_score_gemma":0.0062412377,"teacher_disagreement_score":0.004352541,"about_ca_system_score_codex":0.0007500866,"about_ca_system_score_gemma":0.004204701,"threshold_uncertainty_score":0.010165155},"labels":[],"label_agreement":null},{"id":"W4387860315","doi":"10.1002/pra2.817","title":"Spontaneous Learning Environments: Manipulating Readability &amp; Cohesion in Support of Searching as Learning","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cohesion (chemistry); Computer science; Readability; Social connectedness; Natural language processing; Ranking (information retrieval); Set (abstract data type); Artificial intelligence; Psychology","score_opus":0.01487362154818951,"score_gpt":0.261656599823897,"score_spread":0.2467829782757075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387860315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788256,0.00006231663,0.018440103,0.00010360526,0.00000914536,0.00009701242,0.000058307258,0.00034563176,0.0020582753],"genre_scores_gemma":[0.98834234,0.000021429669,0.010960449,0.000018902332,0.000008543145,0.0001202299,0.00007446778,0.000052081672,0.0004015135],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986009,0.0007341858,0.00011747219,0.00025962887,0.0002123567,0.000075400625],"domain_scores_gemma":[0.97063845,0.021193018,0.0036784613,0.002488919,0.0009039396,0.0010972053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016632243,0.00034082518,0.000341769,0.00065487885,0.00041186318,0.00242017,0.00069600344,0.00043354035,0.002343739],"category_scores_gemma":[0.023812538,0.000228042,0.00016347047,0.00044701726,0.000589715,0.0016965775,0.0014483106,0.00046704436,0.000234022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0069847372,0.009016145,0.06612227,0.0016947218,0.00040014624,0.00090453844,0.022397123,0.021512197,0.4852928,0.013885047,0.0019099871,0.36988032],"study_design_scores_gemma":[0.0028621994,0.023404403,0.37845877,0.0003558464,0.0009893251,0.00092349533,0.011657937,0.18938397,0.30005002,0.068201125,0.023348603,0.00036439204],"about_ca_topic_score_codex":0.00028092545,"about_ca_topic_score_gemma":0.00030204703,"teacher_disagreement_score":0.00242017,"about_ca_system_score_codex":0.00033406133,"about_ca_system_score_gemma":0.00028869204,"threshold_uncertainty_score":0.008796096},"labels":[],"label_agreement":null},{"id":"W4387898649","doi":"10.1352/1944-7558-128.6.494","title":"Résumés en Français","year":2023,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.04369313419022415,"score_gpt":0.28091875655433335,"score_spread":0.2372256223641092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387898649","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012178511,0.010286787,0.0011611438,0.010107563,0.010052039,0.00023849912,0.014753245,0.00052004546,0.940702],"genre_scores_gemma":[0.02072574,0.0044210013,0.00062378665,0.0013113747,0.00048772455,0.00009912772,0.005437906,0.00026910834,0.96662414],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981735,0.00037932713,0.00017337537,0.0002843534,0.0005686436,0.0004208061],"domain_scores_gemma":[0.99750394,0.00024984335,0.00018109666,0.00023832876,0.0012550494,0.000571752],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014388963,0.0011875621,0.00070793746,0.0026473703,0.0049865902,0.0058628726,0.0013041625,0.0015211065,0.44867486],"category_scores_gemma":[0.00424385,0.0003238274,0.00052909105,0.0049527916,0.0011929828,0.0028762508,0.0028885358,0.001801551,0.21565348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017852805,0.000101785095,0.0030337037,0.0007264668,0.000024068051,0.0006052072,0.0025695418,0.00016399882,0.000730658,0.033488095,0.8065423,0.15183574],"study_design_scores_gemma":[0.0000042938227,0.00001321931,0.001243821,0.000121630816,0.0000020552632,0.000066077264,0.0005648184,0.000016531783,0.00006491135,0.00031369433,0.9975821,0.0000068898885],"about_ca_topic_score_codex":0.08224502,"about_ca_topic_score_gemma":0.09139955,"teacher_disagreement_score":0.55132514,"about_ca_system_score_codex":0.004251814,"about_ca_system_score_gemma":0.009487429,"threshold_uncertainty_score":0.7863984},"labels":[],"label_agreement":null},{"id":"W4389005017","doi":"10.5430/jct.v12n6p347","title":"Content Words and Readability in Students’ Thesis Findings","year":2023,"lang":"en","type":"article","venue":"Journal of Curriculum and Teaching","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Bachelor; Computer science; Reading (process); Content (measure theory); Content analysis; Natural language processing; Linguistics; Lexical density; Mathematics education; Psychology; Lexical item; Mathematics","score_opus":0.031129943626759474,"score_gpt":0.2941948043226865,"score_spread":0.26306486069592705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389005017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99376523,0.00016511565,0.00058256363,0.00022452301,0.000011546883,0.000024848297,0.00006992677,0.000011854713,0.005144348],"genre_scores_gemma":[0.99859124,0.00009180136,0.00024910542,0.000032672404,0.000007640047,0.000020927133,0.0000485609,0.0000087152775,0.00094918493],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9958022,0.0013480044,0.00043017295,0.00032012907,0.0018373835,0.0002620343],"domain_scores_gemma":[0.9729618,0.016121222,0.0055802995,0.0006844524,0.0036345236,0.0010176785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036198343,0.00019535722,0.00031938744,0.0024913182,0.0006823361,0.0024957838,0.0004565071,0.0002966082,0.004450276],"category_scores_gemma":[0.03602357,0.0001308877,0.00023422782,0.0017245454,0.0014083252,0.0014912069,0.0016826751,0.0006602181,0.00051029806],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022435217,0.00029313407,0.42433724,0.00075486297,0.00006878801,0.0013114406,0.44032225,0.0002357811,0.0101761455,0.0027842238,0.0021700293,0.11732176],"study_design_scores_gemma":[0.000010485158,0.0003695818,0.67999494,0.00030936458,0.000031884214,0.0015026948,0.2965628,0.00035790057,0.0038701028,0.0025967679,0.014336189,0.00005737555],"about_ca_topic_score_codex":0.00045468783,"about_ca_topic_score_gemma":0.00068844436,"teacher_disagreement_score":0.004450276,"about_ca_system_score_codex":0.000764626,"about_ca_system_score_gemma":0.0007094036,"threshold_uncertainty_score":0.01914376},"labels":[],"label_agreement":null},{"id":"W4389048524","doi":"10.5539/elt.v16n12p1","title":"Readability of Reading Texts for EFL Students at Al-Baha University","year":2023,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Reading (process); Set (abstract data type); Psychology; Mathematics education; Index (typography); Computer science; Linguistics; Pedagogy; World Wide Web","score_opus":0.01310576124463612,"score_gpt":0.2848362922160709,"score_spread":0.27173053097143474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389048524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981692,0.00009555747,0.0000478077,0.000064377215,0.000004810835,0.000012701627,0.00006303171,0.000006613277,0.0015360487],"genre_scores_gemma":[0.9975865,0.0001843809,0.00024116863,0.00003806817,0.000008789402,0.00002405036,0.00012665076,0.0000056454674,0.0017847673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992162,0.00013336971,0.00012661752,0.00010343744,0.00033001008,0.00009037225],"domain_scores_gemma":[0.9961118,0.0011342316,0.0010640817,0.00011311539,0.0012380002,0.0003387928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008468598,0.00032102433,0.0004591028,0.0018621305,0.00089077145,0.0014571894,0.00035634876,0.00053205556,0.003063651],"category_scores_gemma":[0.0074162846,0.00014579235,0.00026875662,0.0012507614,0.00047086884,0.0010020345,0.00065229903,0.0005487695,0.0008530189],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028933532,0.0012512024,0.79379004,0.00032730875,0.000038519385,0.0017254418,0.07551972,0.00019718004,0.011148362,0.00030982308,0.0022395318,0.11316348],"study_design_scores_gemma":[0.000009665073,0.0006257246,0.9629466,0.00007488585,0.000022055867,0.000476471,0.028259564,0.00032644696,0.003892949,0.0002147445,0.0031120256,0.000038945454],"about_ca_topic_score_codex":0.0032164291,"about_ca_topic_score_gemma":0.0060956986,"teacher_disagreement_score":0.0032164291,"about_ca_system_score_codex":0.0007454573,"about_ca_system_score_gemma":0.00068377436,"threshold_uncertainty_score":0.010248899},"labels":[],"label_agreement":null},{"id":"W4389294437","doi":"10.1080/15434303.2023.2288253","title":"Validity Arguments for Automated Essay Scoring of Young Students’ Writing Traits","year":2023,"lang":"en","type":"article","venue":"Language Assessment Quarterly","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Writing assessment; Consistency (knowledge bases); Context (archaeology); Vocabulary; Psychology; Inference; Argument (complex analysis); Formative assessment; Trait; Artificial intelligence; Natural language processing; Computer science; Mathematics education; Linguistics","score_opus":0.0296680655231284,"score_gpt":0.359881211422216,"score_spread":0.3302131458990876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389294437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5678994,0.0022716634,0.36141697,0.019140787,0.0007077638,0.0018176963,0.0011721287,0.0008032663,0.044770274],"genre_scores_gemma":[0.94994336,0.00010477904,0.04696103,0.0007895456,0.00021512536,0.0006306105,0.00038789495,0.000093522096,0.0008741515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.72553974,0.200425,0.0132478075,0.020165972,0.037793435,0.0028280213],"domain_scores_gemma":[0.13974434,0.7501418,0.027656032,0.048848253,0.032265577,0.001343967],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.23942912,0.0013941734,0.0015449704,0.005948508,0.0031656434,0.008760588,0.0048883506,0.0035908155,0.0028690596],"category_scores_gemma":[0.679516,0.0010802174,0.0022955025,0.0035894099,0.013440434,0.009080148,0.0070595625,0.004919419,0.0009716409],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004930359,0.0013135985,0.5719006,0.0009624443,0.0018286903,0.00050782855,0.013392254,0.028902525,0.0031112437,0.15395454,0.00586557,0.21333043],"study_design_scores_gemma":[0.0008671816,0.002453372,0.22070336,0.001611138,0.00068720547,0.0007309751,0.005711642,0.42391527,0.015743708,0.31606722,0.011143056,0.00036587624],"about_ca_topic_score_codex":0.004871405,"about_ca_topic_score_gemma":0.002731176,"teacher_disagreement_score":0.23942912,"about_ca_system_score_codex":0.00489859,"about_ca_system_score_gemma":0.004150737,"threshold_uncertainty_score":0.9379193},"labels":[],"label_agreement":null},{"id":"W4390246740","doi":"10.1352/1944-7558-129.1.86","title":"Résumés en Français","year":2023,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; World Wide Web; Information retrieval; Programming language","score_opus":0.04369313419022415,"score_gpt":0.28091875655433335,"score_spread":0.2372256223641092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390246740","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014905922,0.01643673,0.0020344292,0.01603871,0.018397382,0.00031706816,0.021594945,0.00078424066,0.9094906],"genre_scores_gemma":[0.023439486,0.0065367226,0.0010416048,0.0020178342,0.0009856146,0.00012798989,0.007699703,0.00037883074,0.95777225],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99806374,0.000417256,0.00020413767,0.00034251375,0.0005867657,0.0003855257],"domain_scores_gemma":[0.9971264,0.00034862486,0.00024941462,0.00028340702,0.0013056033,0.0006865921],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015990401,0.0011639289,0.00077634066,0.0025240711,0.0038469413,0.0051879087,0.0013046409,0.0015882424,0.47481662],"category_scores_gemma":[0.005397768,0.00035095145,0.00056963204,0.0042950176,0.0011503892,0.0027462244,0.0030357838,0.0017803769,0.23973586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020468816,0.00009266545,0.004000354,0.00081968115,0.000030233456,0.0006868947,0.001914465,0.00017136261,0.00078724255,0.026521103,0.7809707,0.18380056],"study_design_scores_gemma":[0.0000051360485,0.000016255826,0.0015967063,0.00014519657,0.0000025096188,0.00010991184,0.00042238837,0.000020574586,0.000066316774,0.00037426283,0.9972338,0.0000070287942],"about_ca_topic_score_codex":0.043506812,"about_ca_topic_score_gemma":0.046628743,"teacher_disagreement_score":0.47481662,"about_ca_system_score_codex":0.0031608965,"about_ca_system_score_gemma":0.0071296026,"threshold_uncertainty_score":0.74911034},"labels":[],"label_agreement":null},{"id":"W4390787184","doi":"10.20380/gi2016.21","title":"Assessing the Readability of Stacked Graphs","year":2016,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Readability; Computer science; Programming language","score_opus":0.0384153603042611,"score_gpt":0.3077049804550657,"score_spread":0.2692896201508046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390787184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86287147,0.0020706067,0.11392097,0.0004318751,0.00017464774,0.00033995582,0.0041351444,0.0074370895,0.008618236],"genre_scores_gemma":[0.93606883,0.000459283,0.056150198,0.00009480588,0.000048061047,0.00018166233,0.0042944313,0.0009544928,0.0017482003],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99587256,0.0015419718,0.0005703427,0.0007313202,0.0011072806,0.00017657774],"domain_scores_gemma":[0.8671682,0.1087157,0.006396737,0.00940568,0.0069658374,0.0013479568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054847416,0.0010521745,0.00069079787,0.0043808557,0.0004045798,0.0037040436,0.001110415,0.0012923719,0.0048914645],"category_scores_gemma":[0.09858788,0.00030694637,0.000928903,0.0029716499,0.00070617604,0.0048122094,0.0018222505,0.0010327331,0.00096812856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051341597,0.000658851,0.093699366,0.004144566,0.0011731385,0.001366299,0.013515216,0.07259079,0.060341787,0.006329522,0.018473325,0.72257304],"study_design_scores_gemma":[0.00061689387,0.004532452,0.3767723,0.0009772568,0.0008374975,0.0028643163,0.013074455,0.3853033,0.11968619,0.050763685,0.043881953,0.0006896929],"about_ca_topic_score_codex":0.0017492815,"about_ca_topic_score_gemma":0.0018464299,"teacher_disagreement_score":0.0054847416,"about_ca_system_score_codex":0.0005022388,"about_ca_system_score_gemma":0.0003213578,"threshold_uncertainty_score":0.029006422},"labels":[],"label_agreement":null},{"id":"W4391227797","doi":"10.1111/emip.12590","title":"Using OpenAI GPT to Generate Reading Comprehension Items","year":2024,"lang":"en","type":"article","venue":"Educational Measurement Issues and Practice","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reading comprehension; Comprehension; Reading (process); Sentence; Computer science; Cognition; Natural language processing; Artificial intelligence; Sample (material); Psychology; Cognitive psychology; Linguistics","score_opus":0.2292006550062576,"score_gpt":0.41553136314358546,"score_spread":0.18633070813732786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391227797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23993707,0.00013215606,0.70673996,0.00018279518,0.00025889536,0.008523776,0.004437896,0.026914535,0.012873065],"genre_scores_gemma":[0.2596103,0.00009997491,0.7200114,0.00007469645,0.000043610293,0.008080788,0.006155544,0.0020698656,0.003853862],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9941532,0.0028516012,0.0008039345,0.0008391111,0.0012425118,0.00010965614],"domain_scores_gemma":[0.9454595,0.03644957,0.0019213539,0.0063273935,0.009467513,0.00037468137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067087994,0.001260643,0.00068616297,0.0022504346,0.00037822948,0.0016065928,0.0016270935,0.0008019766,0.008932563],"category_scores_gemma":[0.057750527,0.00054971623,0.0008059987,0.0014592459,0.0005323419,0.001530407,0.0017521332,0.0012733733,0.004859292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007058989,0.0009847138,0.01967767,0.00071022526,0.00011211319,0.0006234278,0.0045867334,0.010896951,0.028456945,0.0030039023,0.010579939,0.9196615],"study_design_scores_gemma":[0.001631092,0.0066235163,0.127087,0.0008522757,0.00043073215,0.0040535014,0.0035609005,0.41513795,0.32435766,0.021067718,0.094490536,0.00070705375],"about_ca_topic_score_codex":0.0008953472,"about_ca_topic_score_gemma":0.0008328997,"teacher_disagreement_score":0.008932563,"about_ca_system_score_codex":0.0006136245,"about_ca_system_score_gemma":0.00067812455,"threshold_uncertainty_score":0.035479963},"labels":[],"label_agreement":null},{"id":"W4391296597","doi":"10.1352/1934-9556-61.2.82","title":"Résumés en Français","year":2024,"lang":"fr","type":"article","venue":"Intellectual and developmental disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychology","score_opus":0.0482418427436531,"score_gpt":0.27701672487887474,"score_spread":0.22877488213522165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391296597","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009677359,0.010975966,0.0013864841,0.012100093,0.010991837,0.00023600449,0.01502267,0.00053951226,0.9390701],"genre_scores_gemma":[0.019471094,0.0051442166,0.00070803805,0.001585289,0.0006702998,0.000112520705,0.0061997655,0.00028439073,0.9658244],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800485,0.0004602618,0.00020598379,0.00032539087,0.00063914433,0.00036448025],"domain_scores_gemma":[0.99700004,0.000378277,0.00023607459,0.00033601833,0.0014070569,0.0006425219],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015952779,0.0010622471,0.00079135504,0.002716344,0.0038878343,0.0053598047,0.0013245228,0.0015494551,0.5279089],"category_scores_gemma":[0.005981827,0.00033278475,0.0005372608,0.0053469725,0.001073897,0.0029716908,0.003087764,0.0016684558,0.28082648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016542722,0.00008650347,0.0028202396,0.00076914043,0.000023870038,0.00047205132,0.001939232,0.00016013876,0.0005681734,0.031149434,0.78959966,0.17224616],"study_design_scores_gemma":[0.00000459796,0.000014379984,0.0013317291,0.00015052248,0.00000218362,0.00006562678,0.00047724808,0.00001976311,0.00006513594,0.00045096173,0.99741155,0.0000063559837],"about_ca_topic_score_codex":0.04284492,"about_ca_topic_score_gemma":0.045378115,"teacher_disagreement_score":0.5279089,"about_ca_system_score_codex":0.0034469983,"about_ca_system_score_gemma":0.0073496625,"threshold_uncertainty_score":0.6733806},"labels":[],"label_agreement":null},{"id":"W4391652633","doi":"10.1075/lab.22013.whi","title":"Pronoun interpretation in Italian","year":2024,"lang":"en","type":"article","venue":"Linguistic Approaches to Bilingualism","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Université Laval; McGill University","funders":"","keywords":"Interpretation (philosophy); Pronoun; Linguistics; Psychology; Natural language processing; Computer science; Philosophy","score_opus":0.09952524450511449,"score_gpt":0.28389726005120736,"score_spread":0.18437201554609287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391652633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97803724,0.00018962056,0.00073763303,0.00013940936,0.000013868194,0.000012854086,0.000058832928,0.000038422233,0.020772092],"genre_scores_gemma":[0.9982089,0.00006749273,0.00040574072,0.00003249337,0.000008589965,0.0000036006193,0.000039918883,0.000014405129,0.0012188363],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936897,0.0002621368,0.000028867365,0.000118151496,0.00015370466,0.00006827242],"domain_scores_gemma":[0.99834394,0.0008936601,0.00039088004,0.00017528815,0.0001364263,0.00005983117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010404701,0.00036155884,0.00022045875,0.00029136034,0.00048797062,0.001090539,0.00027777159,0.0003445967,0.00388709],"category_scores_gemma":[0.003989767,0.0001542461,0.00014719352,0.00022620823,0.00064286776,0.0005308249,0.000539475,0.00045824822,0.00048637288],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002700808,0.0003490197,0.21155758,0.0011424305,0.00009032961,0.00375131,0.17766623,0.00066472415,0.43020087,0.0140106,0.0034704292,0.15439574],"study_design_scores_gemma":[0.00020281384,0.001241548,0.8715366,0.00021140672,0.00012288336,0.0055324943,0.033838667,0.0033751992,0.038893446,0.004620395,0.04032231,0.00010229406],"about_ca_topic_score_codex":0.0013317683,"about_ca_topic_score_gemma":0.0020979992,"teacher_disagreement_score":0.00388709,"about_ca_system_score_codex":0.0005628091,"about_ca_system_score_gemma":0.00022149559,"threshold_uncertainty_score":0.013003588},"labels":[],"label_agreement":null},{"id":"W4393672517","doi":"10.5281/zenodo.7674560","title":"DEplain-APA","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.045894029508618026,"score_gpt":0.2616816573578845,"score_spread":0.21578762784926647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393672517","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012701845,0.0011178103,0.018953346,0.0007580061,0.0007410792,0.0011084061,0.8952027,0.025093878,0.044322927],"genre_scores_gemma":[0.0134995,0.00020781673,0.01949583,0.00025256933,0.00008677081,0.00161404,0.9481683,0.0058255056,0.010849709],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968778,0.000825147,0.00036737364,0.001021988,0.00067073037,0.00023707825],"domain_scores_gemma":[0.9944904,0.001394216,0.00031710925,0.0017441974,0.0016963821,0.00035766378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002453105,0.002227886,0.0013048359,0.004434803,0.0019074851,0.002588591,0.002006077,0.001238162,0.12319758],"category_scores_gemma":[0.00926585,0.0017929955,0.001141427,0.004644757,0.000731142,0.002973624,0.0039256136,0.002369219,0.12835014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004025217,0.00009864449,0.0008691223,0.0014402407,0.00008118252,0.00017532264,0.00043309468,0.0005448419,0.0063147824,0.002691137,0.93220687,0.054742333],"study_design_scores_gemma":[0.00027748366,0.00009573341,0.0067879786,0.00015483654,0.000061344224,0.0004851559,0.00033819812,0.0018370074,0.0089643635,0.0015011796,0.97942585,0.00007082028],"about_ca_topic_score_codex":0.008062419,"about_ca_topic_score_gemma":0.009013121,"teacher_disagreement_score":0.12319758,"about_ca_system_score_codex":0.0013174948,"about_ca_system_score_gemma":0.0023424893,"threshold_uncertainty_score":0.41213697},"labels":[],"label_agreement":null},{"id":"W4393791440","doi":"10.5281/zenodo.8304430","title":"DEplain-APA","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.045894029508618026,"score_gpt":0.2616816573578845,"score_spread":0.21578762784926647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393791440","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005658561,0.0009085934,0.011849309,0.00071290636,0.0007672964,0.0006583587,0.9053038,0.027881213,0.046259955],"genre_scores_gemma":[0.00686671,0.00018312274,0.011578102,0.00024421242,0.00009336792,0.0010084307,0.9594137,0.007585393,0.013026918],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99679786,0.00083708874,0.0003343498,0.0010318917,0.0007393318,0.00025949252],"domain_scores_gemma":[0.993897,0.0014569933,0.00035272844,0.0019318775,0.0019391835,0.00042223517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026411905,0.0024427965,0.0014487085,0.0043495833,0.0018900504,0.0033923762,0.0021535985,0.0013372997,0.20013109],"category_scores_gemma":[0.010007729,0.0019112198,0.0012348809,0.0045760814,0.000714009,0.003509045,0.0044491715,0.002649935,0.25657564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000181235,0.000044666453,0.00041668172,0.0007198471,0.00003516193,0.000068205125,0.00021622419,0.00025376657,0.0021015701,0.0013893425,0.9670331,0.027540147],"study_design_scores_gemma":[0.00014105774,0.000050956107,0.0036527126,0.00013405699,0.00003212309,0.00023445241,0.000223877,0.0009051584,0.004276153,0.0011416109,0.98915917,0.00004858187],"about_ca_topic_score_codex":0.008489172,"about_ca_topic_score_gemma":0.009724549,"teacher_disagreement_score":0.20013109,"about_ca_system_score_codex":0.0014093536,"about_ca_system_score_gemma":0.002415774,"threshold_uncertainty_score":0.6695052},"labels":[],"label_agreement":null},{"id":"W4393791968","doi":"10.5281/zenodo.7674559","title":"DEplain-APA","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.0326686651163991,"score_gpt":0.2553250948946891,"score_spread":0.22265642977828998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393791968","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01068104,0.001142753,0.014656053,0.0006713697,0.00076436764,0.0009600709,0.9132054,0.02393776,0.033981178],"genre_scores_gemma":[0.010891723,0.00018304706,0.012794566,0.0002025045,0.000076940516,0.0011436727,0.9614953,0.004385022,0.008827233],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972162,0.0007533001,0.00031410667,0.0009336694,0.0005698911,0.00021284271],"domain_scores_gemma":[0.9952258,0.0013571614,0.00028693306,0.0014434444,0.0013632154,0.00032340808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021820976,0.002743918,0.0013468497,0.004604228,0.0018110787,0.0028930577,0.0020332634,0.001665713,0.14493248],"category_scores_gemma":[0.008451431,0.0017895492,0.001252826,0.0045870463,0.0007492904,0.0031129583,0.0038227637,0.0025817107,0.15509154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023752377,0.00010276284,0.00070689083,0.0010268296,0.000050992774,0.0001377811,0.00032442543,0.00059297413,0.0033319604,0.0021090573,0.9500576,0.041321073],"study_design_scores_gemma":[0.0002583794,0.0000928242,0.0068634422,0.00020836387,0.000059417456,0.000456231,0.00035096277,0.0024145453,0.0068251407,0.001793986,0.98059124,0.00008552916],"about_ca_topic_score_codex":0.008318358,"about_ca_topic_score_gemma":0.009518173,"teacher_disagreement_score":0.14493248,"about_ca_system_score_codex":0.0013191898,"about_ca_system_score_gemma":0.0020134011,"threshold_uncertainty_score":0.48484743},"labels":[],"label_agreement":null},{"id":"W4394844693","doi":"10.1371/journal.pdig.0000489","title":"Biomedical text readability after hypernym substitution with fine-tuned large language models","year":2024,"lang":"en","type":"article","venue":"PLOS Digital Health","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Readability; Computer science; Substitution (logic); Unified Medical Language System; Natural language processing; Text simplification; Automatic summarization; Artificial intelligence; Sentence; Comprehension; Biomedical text mining; Language model; Text mining","score_opus":0.019835033893093094,"score_gpt":0.2663777210944307,"score_spread":0.2465426872013376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394844693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8385175,0.0007553215,0.14294942,0.0005809301,0.00021158913,0.00035487962,0.003009767,0.011423608,0.0021969595],"genre_scores_gemma":[0.87359387,0.0001709634,0.117789485,0.00015017141,0.000040889958,0.00030677373,0.006097603,0.00062761654,0.0012225575],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966342,0.0017922338,0.00036722887,0.0006973639,0.00039871136,0.00011023697],"domain_scores_gemma":[0.96796733,0.025089245,0.001470551,0.0027056965,0.002436568,0.00033057432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042062323,0.00113503,0.000695698,0.0012855956,0.00034353294,0.001619446,0.00074842374,0.00066484034,0.0021946589],"category_scores_gemma":[0.03536383,0.00029070105,0.0009511445,0.00076990237,0.00047148686,0.002058921,0.0012451344,0.0016879275,0.0010518383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004767673,0.0012009939,0.031418163,0.0017376394,0.0008031549,0.0009091608,0.0052884645,0.13377318,0.17874734,0.0019732255,0.00942062,0.6299604],"study_design_scores_gemma":[0.00023193004,0.0015868192,0.04356626,0.00013026361,0.00037461967,0.00043805374,0.0019437183,0.82416624,0.11179651,0.006094536,0.009430156,0.00024093277],"about_ca_topic_score_codex":0.004278324,"about_ca_topic_score_gemma":0.005874621,"teacher_disagreement_score":0.004278324,"about_ca_system_score_codex":0.0007982586,"about_ca_system_score_gemma":0.00076346507,"threshold_uncertainty_score":0.02224493},"labels":[],"label_agreement":null},{"id":"W4396590733","doi":"10.1007/s00146-024-01945-9","title":"GPT-4-Trinis: assessing GPT-4’s communicative competence in the English-speaking majority world","year":2024,"lang":"en","type":"article","venue":"AI & Society","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; McMaster University; University of Toronto","funders":"Social Sciences and Humanities Research Council","keywords":"Communicative competence; Psychology; Communicative language teaching; Competence (human resources); Linguistics; Communication; Pedagogy; Philosophy; Social psychology","score_opus":0.033409473284503534,"score_gpt":0.3192342277502775,"score_spread":0.28582475446577393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396590733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966352,0.00006549741,0.0019175024,0.00015787217,0.000067363086,0.0007037962,0.0036755998,0.0005344186,0.026525866],"genre_scores_gemma":[0.95734096,0.000115964795,0.008994968,0.00020302963,0.000033118115,0.003199443,0.0089085,0.00027998615,0.020924155],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977877,0.00052332255,0.00026928037,0.00029080463,0.0008748213,0.00025398246],"domain_scores_gemma":[0.9897702,0.003352429,0.0012870275,0.0010439211,0.0032695713,0.0012768299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023475864,0.0010337589,0.0005786598,0.0017582782,0.0007806832,0.0020653796,0.0011583886,0.00132846,0.011051133],"category_scores_gemma":[0.019598154,0.00034979222,0.0008371231,0.00063261756,0.00095026096,0.0021617396,0.0035554895,0.0016553048,0.0049249986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030537306,0.002278124,0.638283,0.001022933,0.00048803148,0.0014382513,0.028996518,0.003265659,0.0249387,0.002811965,0.054147564,0.23927546],"study_design_scores_gemma":[0.00021851464,0.002107911,0.94189805,0.00021826263,0.00022276411,0.0013950695,0.008841264,0.005364746,0.009145169,0.0024447578,0.027950363,0.0001930177],"about_ca_topic_score_codex":0.0102666635,"about_ca_topic_score_gemma":0.01284438,"teacher_disagreement_score":0.011051133,"about_ca_system_score_codex":0.0010243928,"about_ca_system_score_gemma":0.0015560329,"threshold_uncertainty_score":0.03696978},"labels":[],"label_agreement":null},{"id":"W4396928327","doi":"10.31235/osf.io/wqeg7","title":"Does Readability in MOOC Attract Potential Learners?","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University; National Research Council Canada","funders":"","keywords":"Readability; Computer science; Mathematics education; Psychology","score_opus":0.01871363278137474,"score_gpt":0.27420816565635064,"score_spread":0.2554945328749759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396928327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99679774,0.00015979749,0.000345266,0.00023672417,0.00001017392,0.0000117589025,0.00012022274,0.000012079375,0.0023061621],"genre_scores_gemma":[0.99898595,0.000048737777,0.00010774388,0.000039658047,0.0000185278,0.000007162572,0.0001113476,0.00000497195,0.00067576807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99811894,0.00044140694,0.00015266606,0.0003387754,0.00069258566,0.00025561344],"domain_scores_gemma":[0.97781336,0.00939867,0.0070577236,0.00072607724,0.0021635068,0.0028406207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016704784,0.00019024363,0.00034690532,0.0010841029,0.0003754121,0.0024767888,0.00041803127,0.0006883459,0.004728708],"category_scores_gemma":[0.03165852,0.00012471138,0.00027591657,0.0008644933,0.00040519913,0.0021231903,0.0010068982,0.00062072836,0.0014208028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019662733,0.0002979226,0.955841,0.000064460764,0.00004066773,0.00012691136,0.0016150563,0.00020432285,0.0008544817,0.00024920606,0.00046900928,0.040040247],"study_design_scores_gemma":[0.0000057172356,0.00020913668,0.99516356,0.00002190441,0.00001735421,0.0001048309,0.0018900937,0.0006618646,0.000500182,0.00053563656,0.000878901,0.000010754634],"about_ca_topic_score_codex":0.0013642242,"about_ca_topic_score_gemma":0.0019909276,"teacher_disagreement_score":0.004728708,"about_ca_system_score_codex":0.00048702446,"about_ca_system_score_gemma":0.0003975457,"threshold_uncertainty_score":0.015819073},"labels":[],"label_agreement":null},{"id":"W4398788073","doi":"10.5114/aic.2024.139632","title":"Clarification of misused terminology in the context of thebesian veins","year":2024,"lang":"en","type":"article","venue":"Advances in Interventional Cardiology","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Terminology; Context (archaeology); Medicine; Archaeology; History; Philosophy; Linguistics","score_opus":0.024138864953434907,"score_gpt":0.3246274678187292,"score_spread":0.3004886028652943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398788073","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031813416,0.075532705,0.03706473,0.6393712,0.18053776,0.00013299307,0.0005394344,0.00074973336,0.062890016],"genre_scores_gemma":[0.092080556,0.06562359,0.04384984,0.64261055,0.112328164,0.0007493768,0.0010424525,0.0029989413,0.038716495],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.87319946,0.06828502,0.017452864,0.0054569626,0.032328226,0.0032775092],"domain_scores_gemma":[0.7766878,0.14635047,0.011693281,0.013966287,0.047374178,0.0039280704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.061739065,0.0016269238,0.002782352,0.0067604305,0.0066419877,0.015810635,0.007529621,0.0151049625,0.008694765],"category_scores_gemma":[0.20132081,0.0014192854,0.0023724537,0.003600182,0.028033929,0.018485947,0.0119974045,0.03280663,0.008774243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013136117,0.000028802224,0.00065634947,0.0015222622,0.000037665053,0.0016153526,0.01593804,0.00035098498,0.0012094585,0.24494328,0.673421,0.060145494],"study_design_scores_gemma":[0.000011185819,0.000028549965,0.00027704725,0.0042231237,0.000024350336,0.001829467,0.0030611625,0.00029252618,0.00066744804,0.05102718,0.9384693,0.00008866845],"about_ca_topic_score_codex":0.0060818586,"about_ca_topic_score_gemma":0.0052821557,"teacher_disagreement_score":0.061739065,"about_ca_system_score_codex":0.008359703,"about_ca_system_score_gemma":0.01313846,"threshold_uncertainty_score":0.32651132},"labels":[],"label_agreement":null},{"id":"W4399377830","doi":"10.1109/iciet60671.2024.10542803","title":"Breaking Language Barriers: The Power of Machine Translation in Online Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Computer science; Artificial intelligence; Machine translation; Feature (linguistics); World Wide Web; Product (mathematics); Natural language processing; Machine learning; Linguistics; Mathematics","score_opus":0.013529347516024408,"score_gpt":0.27732357694348975,"score_spread":0.26379422942746533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399377830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63552105,0.0073348917,0.24326934,0.021563908,0.00045432345,0.00048221688,0.00012996762,0.0010868636,0.090157345],"genre_scores_gemma":[0.9710959,0.0008446046,0.024487846,0.0006530166,0.00022313517,0.00015450198,0.000038613744,0.00015888338,0.0023433892],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9307734,0.057142816,0.0015339579,0.003573479,0.005522952,0.0014533239],"domain_scores_gemma":[0.58275145,0.37407327,0.014964581,0.018078638,0.008263162,0.0018688946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0472166,0.0009608636,0.001371358,0.0030702688,0.0030758053,0.009726818,0.00236512,0.002766676,0.005467568],"category_scores_gemma":[0.2552017,0.00087339804,0.0010455262,0.003177985,0.011838993,0.022908112,0.007943091,0.0035578453,0.0015853693],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015153771,0.0009555618,0.064234264,0.0023498482,0.00038956184,0.0013972376,0.05570345,0.024001691,0.008379753,0.18479076,0.0040104147,0.6522721],"study_design_scores_gemma":[0.000438171,0.0028039091,0.03868627,0.00206933,0.00050240406,0.0025658614,0.033162862,0.15359032,0.020684162,0.6908397,0.054216236,0.00044078587],"about_ca_topic_score_codex":0.002685784,"about_ca_topic_score_gemma":0.0013323951,"teacher_disagreement_score":0.0472166,"about_ca_system_score_codex":0.0022891392,"about_ca_system_score_gemma":0.0038075026,"threshold_uncertainty_score":0.2497083},"labels":[],"label_agreement":null},{"id":"W4399450555","doi":"10.7202/1111723ar","title":"Les facteurs influençant la profondeur de traitement de la rétroaction corrective écrite des apprenants de français langue étrangère","year":2024,"lang":"fr","type":"article","venue":"La Revue de l'AQEFLS/Revue de l'AQEFLS","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Victoria; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Humanities; Philosophy; Art","score_opus":0.034947942020777445,"score_gpt":0.29077554171286235,"score_spread":0.2558275996920849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399450555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835924,0.0010539255,0.0018566262,0.0019133008,0.000054376025,0.000052357187,0.00016262257,0.00003871313,0.011275623],"genre_scores_gemma":[0.9895437,0.0008080475,0.001594075,0.0002873011,0.00001378514,0.000057024965,0.000106904794,0.000021087691,0.007567972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9930474,0.0029816316,0.00037499375,0.00066064677,0.002120885,0.00081443187],"domain_scores_gemma":[0.96485406,0.012452461,0.007203492,0.0013710572,0.011511044,0.0026079828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066435826,0.0006013336,0.00034038263,0.0011735309,0.0027118165,0.0038450467,0.00071940856,0.0009665112,0.0051973625],"category_scores_gemma":[0.029040817,0.00034616073,0.00041453025,0.0008707988,0.001979404,0.0017083895,0.0016793892,0.0013443334,0.0010864995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020744793,0.00015358375,0.6672943,0.00061861944,0.00013630143,0.001403088,0.20311572,0.00030739667,0.004417264,0.0021358475,0.0037596242,0.11645079],"study_design_scores_gemma":[0.000009182574,0.00021479595,0.80358374,0.00046385924,0.0000970226,0.0006711171,0.1659263,0.00049547094,0.0012228887,0.00088995474,0.026322722,0.00010301739],"about_ca_topic_score_codex":0.13449985,"about_ca_topic_score_gemma":0.2372273,"teacher_disagreement_score":0.13449985,"about_ca_system_score_codex":0.0037732024,"about_ca_system_score_gemma":0.0074463673,"threshold_uncertainty_score":0.26743394},"labels":[],"label_agreement":null},{"id":"W4399612718","doi":"10.5539/elt.v17n7p38","title":"The Effectiveness of the Integration of ChatGPT into Flipped Classrooms from Teachers’ and Learners’ Perspectives","year":2024,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychology; Flipped classroom; Class (philosophy); Mathematics education; Teaching method; Language acquisition; Language proficiency; Qualitative property; Multimethodology; Student engagement; Qualitative research; Pedagogy; Computer science","score_opus":0.007002628958308093,"score_gpt":0.2579146049192551,"score_spread":0.250911975960947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399612718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821853,0.00021647086,0.008232543,0.00017589542,0.00004725618,0.00021975882,0.000071532195,0.00028837207,0.0085628135],"genre_scores_gemma":[0.98502874,0.00015809329,0.011965717,0.00007018398,0.000026366475,0.00022831833,0.00012098762,0.000048851165,0.002352707],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9932916,0.0039186333,0.00030009425,0.000680835,0.0014571721,0.00035171557],"domain_scores_gemma":[0.9690871,0.02048925,0.00249299,0.0028692225,0.0029001771,0.002161111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00495172,0.00046342803,0.00047701373,0.0008943536,0.00076924125,0.0027128793,0.0009919291,0.00060380576,0.0026483675],"category_scores_gemma":[0.036313552,0.00023448434,0.00044706714,0.0005082069,0.0008703815,0.0021875685,0.0028023005,0.00072992855,0.0006442856],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016825248,0.0036353576,0.10668173,0.0017217129,0.00020365485,0.0018525114,0.07720366,0.0025213829,0.049663354,0.001312506,0.002445692,0.7510759],"study_design_scores_gemma":[0.00061941164,0.028078174,0.63125795,0.0019184327,0.0010933136,0.0069202096,0.14673491,0.020913176,0.08042875,0.0041245054,0.07728374,0.0006273164],"about_ca_topic_score_codex":0.00083465193,"about_ca_topic_score_gemma":0.0023170798,"teacher_disagreement_score":0.00495172,"about_ca_system_score_codex":0.0007061771,"about_ca_system_score_gemma":0.0010128968,"threshold_uncertainty_score":0.02618748},"labels":[],"label_agreement":null},{"id":"W4399991839","doi":"","title":"Organisation des fonctions lexicales pour un meilleur accès à l'information dans le dico","year":2006,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Gynecology; Medicine","score_opus":0.014883632348303666,"score_gpt":0.21222545862650435,"score_spread":0.19734182627820068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399991839","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24923636,0.0024298085,0.6572799,0.0014932908,0.0006787759,0.00072705926,0.0064200866,0.025058322,0.056676365],"genre_scores_gemma":[0.5027535,0.0011427145,0.45108205,0.00020785634,0.00017508985,0.00039528028,0.006596608,0.007885425,0.029761458],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99712914,0.0007350675,0.00036920578,0.0006495636,0.0008256074,0.00029142923],"domain_scores_gemma":[0.9888448,0.0046115606,0.00039317153,0.0018137154,0.0040193973,0.00031729208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018200107,0.0015160858,0.0009942752,0.002833664,0.0017530316,0.0053318865,0.000783023,0.0011586485,0.020341702],"category_scores_gemma":[0.011560557,0.0006480582,0.0010420728,0.0019314232,0.0015968273,0.003335252,0.0013018579,0.001113715,0.008899659],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016955337,0.00022078959,0.01198319,0.0017931707,0.00011378048,0.00199817,0.0042264927,0.006717247,0.15690579,0.05532768,0.020152837,0.73886526],"study_design_scores_gemma":[0.0002255046,0.0007637436,0.047122195,0.0007948557,0.0007974015,0.0054141083,0.0063227294,0.11591619,0.40948755,0.06044899,0.3521917,0.0005150768],"about_ca_topic_score_codex":0.0060069915,"about_ca_topic_score_gemma":0.0040072035,"teacher_disagreement_score":0.020341702,"about_ca_system_score_codex":0.0010462841,"about_ca_system_score_gemma":0.0015333454,"threshold_uncertainty_score":0.06804973},"labels":[],"label_agreement":null},{"id":"W4400352013","doi":"10.1109/smartnets61466.2024.10577676","title":"Towards a Reliable French Speech Recognition Tool for an Automated Diagnosis of Learning Disabilities","year":2024,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Collège de Maisonneuve; Laboratoire Recherche Informatique Maisonneuve","funders":"","keywords":"Computer science; Speech recognition; Natural language processing; Artificial intelligence","score_opus":0.04460580678073276,"score_gpt":0.3071121234356765,"score_spread":0.2625063166549437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400352013","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.096935496,0.0005558898,0.7668058,0.00061841594,0.0001839543,0.00041654138,0.0023758383,0.12889473,0.0032132955],"genre_scores_gemma":[0.49737865,0.00031852254,0.4895949,0.0004188593,0.000076953555,0.00043659314,0.0053170286,0.0010494483,0.005408966],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988287,0.0003454426,0.000081657,0.0003407818,0.0003119005,0.00009150725],"domain_scores_gemma":[0.9976156,0.00093079143,0.00011863211,0.00022038283,0.0010168974,0.0000976543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013415534,0.0017961345,0.0006851886,0.0015241345,0.00039544,0.001622492,0.0013007079,0.0016121377,0.005974522],"category_scores_gemma":[0.0055414704,0.00032709996,0.00065334805,0.00046114982,0.0003283854,0.0010783949,0.0008602594,0.00079627335,0.0066366317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013871897,0.00033392556,0.012402616,0.00052055425,0.00025633757,0.0010261862,0.0006094029,0.039451856,0.1582396,0.0026037344,0.019811705,0.763357],"study_design_scores_gemma":[0.000100601006,0.00061075087,0.008454864,0.00011858422,0.00016931238,0.0011259039,0.00031625127,0.83988076,0.12867041,0.0016197964,0.018804265,0.00012851306],"about_ca_topic_score_codex":0.018610816,"about_ca_topic_score_gemma":0.013190974,"teacher_disagreement_score":0.018610816,"about_ca_system_score_codex":0.0008062319,"about_ca_system_score_gemma":0.0010511265,"threshold_uncertainty_score":0.037004948},"labels":[],"label_agreement":null},{"id":"W4400663124","doi":"10.54254/2755-2721/76/20240608","title":"A review of methods for alleviating hallucination issues in large language models","year":2024,"lang":"en","type":"review","venue":"Applied and Computational Engineering","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Milton District Hospital","funders":"","keywords":"Psychology; Computer science; Linguistics; Philosophy","score_opus":0.042605813696583734,"score_gpt":0.3892562671185863,"score_spread":0.34665045342200257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400663124","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022252435,0.36192355,0.62239945,0.0027238966,0.0011963117,0.00013982259,0.00033274485,0.0010933396,0.007965564],"genre_scores_gemma":[0.054959,0.5068038,0.4206019,0.0022999556,0.0046544992,0.0004676383,0.0014884919,0.0006095345,0.008115122],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981414,0.0005835333,0.00029974707,0.00031522248,0.0005919448,0.00006814089],"domain_scores_gemma":[0.9936248,0.0045906478,0.00028186236,0.0004940813,0.00092071446,0.000087820124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002655141,0.0015754933,0.0013737895,0.0024724326,0.00064649584,0.0023907733,0.0023217637,0.0014711188,0.0038522733],"category_scores_gemma":[0.010976394,0.0007856787,0.002017578,0.0031077748,0.0010329408,0.003808711,0.0015020008,0.0026504959,0.0024248231],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007793928,0.000079572885,0.00089598336,0.006369736,0.00024977865,0.0002863377,0.00044384348,0.012094006,0.0022822248,0.039467413,0.024250882,0.9135023],"study_design_scores_gemma":[0.00006574962,0.00032849517,0.0033907401,0.004920884,0.000745619,0.0028132752,0.0007432882,0.18395437,0.008365861,0.14761822,0.64671594,0.00033749064],"about_ca_topic_score_codex":0.0029421886,"about_ca_topic_score_gemma":0.002665148,"teacher_disagreement_score":0.0038522733,"about_ca_system_score_codex":0.00082122505,"about_ca_system_score_gemma":0.0016040793,"threshold_uncertainty_score":0.014041841},"labels":[],"label_agreement":null},{"id":"W4401044086","doi":"10.18653/v1/2024.findings-naacl.274","title":"Fumbling in Babel: An Investigation into ChatGPT’s Language Identification Ability","year":2024,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Identification (biology); Computer science; Natural language processing; Artificial intelligence; Linguistics; Computer vision; Philosophy","score_opus":0.021733055645058025,"score_gpt":0.301173562386556,"score_spread":0.279440506741498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401044086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7850289,0.0027162528,0.07996754,0.0010807005,0.0008126419,0.0002647642,0.009264016,0.098907754,0.021957492],"genre_scores_gemma":[0.86965626,0.00050801557,0.07843509,0.00075242226,0.00011703194,0.00024566308,0.033162102,0.00890922,0.008214187],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99511284,0.0020426633,0.00029572778,0.00129976,0.0008077007,0.00044134975],"domain_scores_gemma":[0.9689125,0.023849702,0.00058591674,0.0033596507,0.0025053315,0.0007867955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060721035,0.0015217048,0.0012170654,0.0022669295,0.0012553883,0.0028582797,0.0026036112,0.001503396,0.0063697277],"category_scores_gemma":[0.031313278,0.0008598059,0.0010594028,0.0020676532,0.0018313332,0.005951946,0.004433885,0.0028130435,0.0035475988],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005923973,0.0011017369,0.092176445,0.0053472104,0.0011645992,0.0037486963,0.012635344,0.16449241,0.03680573,0.021228546,0.14369808,0.5116773],"study_design_scores_gemma":[0.00033611254,0.0016285469,0.022407927,0.0004884974,0.00034278102,0.001624994,0.0050290087,0.8240432,0.056451205,0.017274933,0.07004752,0.00032523784],"about_ca_topic_score_codex":0.010334149,"about_ca_topic_score_gemma":0.011698173,"teacher_disagreement_score":0.010334149,"about_ca_system_score_codex":0.0011838536,"about_ca_system_score_gemma":0.0013297385,"threshold_uncertainty_score":0.032112718},"labels":[],"label_agreement":null},{"id":"W4401457226","doi":"10.31234/osf.io/wqs3y","title":"Long-lag morphological priming and inflectional paradigm size effects in Estonian and Finnish text reading","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Eesti Teadusagentuur","keywords":"Estonian; Priming (agriculture); Reading (process); Context (archaeology); Sentence; Linguistics; Psychology; Computer science; History; Artificial intelligence; Biology","score_opus":0.017916838335177158,"score_gpt":0.2701940601135351,"score_spread":0.25227722177835793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401457226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98947453,0.00043947226,0.0017885457,0.00006809338,0.000047427842,0.000057527646,0.0002596133,0.00007058053,0.0077941497],"genre_scores_gemma":[0.9950487,0.00018398694,0.0020301756,0.0000868102,0.000026455424,0.00014183957,0.00030670647,0.00011514531,0.0020601568],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991364,0.00020436446,0.00011919166,0.00033290696,0.00012391385,0.00008325182],"domain_scores_gemma":[0.9877244,0.008818599,0.0015017287,0.0008560232,0.0007087646,0.00039052658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014337589,0.00054905226,0.00048016792,0.0006687575,0.00042682525,0.0010874481,0.0005333796,0.0008319665,0.009821807],"category_scores_gemma":[0.010957034,0.00046163623,0.00033008287,0.0004313627,0.0009414383,0.0020683373,0.0014951726,0.0009004792,0.0010161555],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002500808,0.00035625417,0.009358908,0.0010292663,0.000040153504,0.0006871801,0.010316139,0.000102420636,0.953801,0.0015184559,0.0003012616,0.019988254],"study_design_scores_gemma":[0.00022101298,0.0022666482,0.7940906,0.00014966501,0.00020387057,0.002275831,0.0048994073,0.00071004074,0.1865592,0.0037695921,0.004726746,0.00012739803],"about_ca_topic_score_codex":0.0007555698,"about_ca_topic_score_gemma":0.0010589084,"teacher_disagreement_score":0.009821807,"about_ca_system_score_codex":0.00043560087,"about_ca_system_score_gemma":0.00039747788,"threshold_uncertainty_score":0.03285718},"labels":[],"label_agreement":null},{"id":"W4401854735","doi":"10.5430/wjel.v15n1p9","title":"Gender Issues between Gemini and ChatGPT: The Case of English-Arabic Translation","year":2024,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Arabic; Computer science; Translation (biology); Natural language processing; Test (biology); Artificial intelligence; Face (sociological concept); Machine translation; Suite; Linguistics; Political science","score_opus":0.024007042465658747,"score_gpt":0.2881520704045148,"score_spread":0.264145027938856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401854735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87485826,0.0021914253,0.07460114,0.00516169,0.00084216683,0.00031113258,0.001610016,0.003645306,0.036778927],"genre_scores_gemma":[0.93874735,0.00031397812,0.051413674,0.0004930345,0.000058085592,0.00008617435,0.0010161449,0.0008245057,0.0070470595],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99063545,0.0058143325,0.00062131963,0.00075735553,0.0018500665,0.00032154273],"domain_scores_gemma":[0.9744986,0.016922468,0.0007232281,0.0029477992,0.004456272,0.00045155335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009714158,0.0008002132,0.0006893803,0.000831911,0.0016360133,0.002600563,0.0007748754,0.0013579639,0.0042161928],"category_scores_gemma":[0.040236544,0.00031666207,0.00040860032,0.0013538548,0.0013397902,0.0030939027,0.0017358095,0.0012332387,0.0018139776],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006093373,0.00060984225,0.06317956,0.0030234742,0.0002526652,0.01468603,0.0850376,0.028233942,0.07993634,0.039138176,0.03173785,0.64807117],"study_design_scores_gemma":[0.0003063763,0.002969582,0.05528602,0.0011960234,0.00047972376,0.014906849,0.05950019,0.26154912,0.28967437,0.03851124,0.27507344,0.0005471067],"about_ca_topic_score_codex":0.006203429,"about_ca_topic_score_gemma":0.007578443,"teacher_disagreement_score":0.009714158,"about_ca_system_score_codex":0.0016146685,"about_ca_system_score_gemma":0.0012058205,"threshold_uncertainty_score":0.05137396},"labels":[],"label_agreement":null},{"id":"W4401873941","doi":"10.19173/irrodl.v25i3.7779","title":"Does AI Simplification of Authentic Blog Texts Improve Reading Comprehension, Inferencing, and Anxiety? A One-Shot Intervention in Turkish EFL Context","year":2024,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reading comprehension; Turkish; Reading (process); Comprehension; Context (archaeology); Psychology; Anxiety; Intervention (counseling); Foreign language; Mathematics education; Computer science; Linguistics","score_opus":0.08136452976121444,"score_gpt":0.42053083430275,"score_spread":0.33916630454153557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401873941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978211,0.000078672296,0.0009155345,0.000067059555,0.000021437223,0.00032875393,0.000026840673,0.00007670576,0.0006640258],"genre_scores_gemma":[0.99178517,0.00019674853,0.005925402,0.000069587666,0.000028676266,0.0009244558,0.00008005581,0.000011084274,0.0009786785],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999263,0.0003090697,0.000063130574,0.00014296097,0.00011577134,0.000106027226],"domain_scores_gemma":[0.99669254,0.0017875625,0.00040665374,0.00039504096,0.00021630651,0.000501831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083423965,0.00057911006,0.0006617214,0.0005366706,0.0007487458,0.00057993777,0.0005742627,0.00049124093,0.0029335653],"category_scores_gemma":[0.006326014,0.00020350728,0.0004674236,0.00026942315,0.00060489814,0.0005359345,0.0010408494,0.00083516544,0.00032241928],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.020645764,0.09019266,0.020025384,0.0038585453,0.0003101089,0.002409909,0.03246698,0.002160989,0.11297531,0.0008528967,0.0027590564,0.71134245],"study_design_scores_gemma":[0.011035567,0.29262084,0.48723057,0.0011574958,0.0018801588,0.0029795847,0.035771053,0.014909189,0.11621657,0.004118074,0.031632,0.00044880062],"about_ca_topic_score_codex":0.00048893533,"about_ca_topic_score_gemma":0.0010114012,"teacher_disagreement_score":0.0029335653,"about_ca_system_score_codex":0.00039750326,"about_ca_system_score_gemma":0.00066835224,"threshold_uncertainty_score":0.009813726},"labels":[],"label_agreement":null},{"id":"W4402671017","doi":"10.18653/v1/2024.arabicnlp-1.5","title":"Strategies for Arabic Readability Modeling","year":2024,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Readability; Arabic; Computer science; Natural language processing; Artificial intelligence; Programming language; Linguistics","score_opus":0.050073713926361625,"score_gpt":0.3045772543765915,"score_spread":0.2545035404502299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402671017","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030146485,0.00029648977,0.9540403,0.0004046406,0.00005455468,0.00021029083,0.0009965645,0.005148423,0.00870221],"genre_scores_gemma":[0.4824206,0.00030317515,0.50314546,0.00015430702,0.00006920796,0.0004960267,0.0034421494,0.00083106366,0.009137943],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99920315,0.00027557823,0.000054932138,0.00028668199,0.00013332105,0.00004640251],"domain_scores_gemma":[0.99827933,0.00080400123,0.00015153082,0.0002663934,0.00044124952,0.000057474037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010169448,0.0012832107,0.0004803025,0.0016845007,0.0004161617,0.0021303857,0.0014158154,0.0006398744,0.008249992],"category_scores_gemma":[0.006010825,0.0003940114,0.0010460424,0.0009018969,0.00045457194,0.0019774616,0.00095820555,0.0012734636,0.0038975263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002642604,0.00027855617,0.0061030015,0.0003701095,0.00020246692,0.0004882793,0.0013602369,0.14782752,0.03133396,0.031804234,0.01249731,0.7674701],"study_design_scores_gemma":[0.00002009577,0.00009256898,0.0032911154,0.00004908796,0.00006267486,0.0002368819,0.00036632226,0.9284024,0.019742746,0.033411156,0.014275382,0.00004956855],"about_ca_topic_score_codex":0.005583909,"about_ca_topic_score_gemma":0.0069218916,"teacher_disagreement_score":0.008249992,"about_ca_system_score_codex":0.00081456883,"about_ca_system_score_gemma":0.00071565615,"threshold_uncertainty_score":0.027598977},"labels":[],"label_agreement":null},{"id":"W4402683016","doi":"10.18653/v1/2024.textgraphs-1.8","title":"Semantic Graphs for Syntactic Simplification: A Revisit from the Age of LLM","year":2024,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Natural language processing; Artificial intelligence","score_opus":0.03173685682643382,"score_gpt":0.28075379192165173,"score_spread":0.2490169350952179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402683016","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006348735,0.049114674,0.82282484,0.03890176,0.0015235983,0.00014083873,0.0010884466,0.0031327524,0.07692425],"genre_scores_gemma":[0.24086417,0.054162648,0.644148,0.011255753,0.007310702,0.00038925523,0.0018615623,0.0062984405,0.0337094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99354136,0.0026709067,0.000634819,0.0012832456,0.0016056824,0.0002639119],"domain_scores_gemma":[0.97554135,0.015759286,0.00058813585,0.00546186,0.0024225614,0.00022688587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00792337,0.0009656454,0.0016953237,0.0067401547,0.0020006655,0.008732113,0.003978215,0.0029334018,0.013496214],"category_scores_gemma":[0.022530865,0.0013858329,0.002394651,0.0075640855,0.013450319,0.033852596,0.0056097414,0.0066444986,0.0053511737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022422273,0.000024403435,0.00022675471,0.00053354213,0.000027257149,0.000069771304,0.0010837967,0.0013188366,0.00040694972,0.85444206,0.012438241,0.12940593],"study_design_scores_gemma":[0.00000775468,0.000012058589,0.0002519101,0.00029294382,0.000023087323,0.00016196017,0.00021524647,0.005455878,0.00089786167,0.8549766,0.13767076,0.000033935845],"about_ca_topic_score_codex":0.008588599,"about_ca_topic_score_gemma":0.0062941955,"teacher_disagreement_score":0.013496214,"about_ca_system_score_codex":0.0052270438,"about_ca_system_score_gemma":0.0035329708,"threshold_uncertainty_score":0.045149326},"labels":[],"label_agreement":null},{"id":"W4402946729","doi":"10.1167/jov.24.10.1022","title":"A psychophysical approach for investigating format readability online","year":2024,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Readability; Computer science; Psychology; Programming language","score_opus":0.03949815641872762,"score_gpt":0.3442729548641129,"score_spread":0.3047747984453853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402946729","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0743542,0.0007016061,0.8942238,0.00028050478,0.0002651714,0.0020769613,0.0015154504,0.0043064784,0.022275902],"genre_scores_gemma":[0.19891158,0.0006592201,0.7849572,0.00051186746,0.000116741954,0.0054128394,0.0008987847,0.00072982686,0.0078019965],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983935,0.00044961023,0.00013644414,0.0003748911,0.0005656971,0.0000799139],"domain_scores_gemma":[0.9952212,0.002327453,0.00044466165,0.0010364716,0.0008071941,0.0001630038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020114484,0.00090801937,0.00044910645,0.0019114356,0.0004981654,0.0016255389,0.0012640835,0.0010510915,0.013248643],"category_scores_gemma":[0.007095004,0.00047228596,0.00067125954,0.001240933,0.0006508665,0.0020473131,0.0016474859,0.0015730783,0.0020379615],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004786622,0.0015073218,0.0063641663,0.0011002413,0.00008970573,0.00024446927,0.0014491185,0.0018657513,0.6658455,0.015899574,0.0056164293,0.29953918],"study_design_scores_gemma":[0.00038836076,0.0075361445,0.119907394,0.00058710336,0.000348948,0.0037686743,0.0015234228,0.054395337,0.6265788,0.05139092,0.1330097,0.0005651526],"about_ca_topic_score_codex":0.0005174801,"about_ca_topic_score_gemma":0.00059887767,"teacher_disagreement_score":0.013248643,"about_ca_system_score_codex":0.00049358007,"about_ca_system_score_gemma":0.000584204,"threshold_uncertainty_score":0.04432118},"labels":[],"label_agreement":null},{"id":"W4402946852","doi":"10.1167/jov.24.10.1024","title":"The effects of variable fonts on sentence-level reading","year":2024,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Reading (process); Sentence; Variable (mathematics); Computer science; Natural language processing; Linguistics; Mathematics; Philosophy","score_opus":0.016848552346685045,"score_gpt":0.2872712614771783,"score_spread":0.27042270913049327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402946852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869466,0.0006700945,0.0066634007,0.00008098125,0.00010651995,0.00016374487,0.00054088223,0.00040354003,0.004424328],"genre_scores_gemma":[0.9850915,0.00023308874,0.0123156095,0.00012847976,0.00005381715,0.00029581544,0.0006091661,0.00035113393,0.00092142366],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99635965,0.001593909,0.0005624615,0.00063422334,0.0007352592,0.00011442496],"domain_scores_gemma":[0.94114155,0.047259722,0.004243831,0.0033312608,0.0031179104,0.00090569427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003101501,0.00073099154,0.00045245254,0.000534542,0.00042514474,0.0013356216,0.00044486628,0.0005853421,0.005442253],"category_scores_gemma":[0.04724589,0.0003236771,0.00050130946,0.00031823976,0.0005602778,0.0011357664,0.00089759124,0.00057767314,0.0008708037],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013059454,0.00091899367,0.06840166,0.0032323028,0.00050648564,0.0021755102,0.010804863,0.0031849383,0.7591894,0.0010861167,0.0044249347,0.13301541],"study_design_scores_gemma":[0.00046998126,0.010469708,0.764201,0.00057756936,0.00091492006,0.005046764,0.0024368092,0.010729571,0.1921036,0.0027038075,0.010009647,0.000336523],"about_ca_topic_score_codex":0.00036515042,"about_ca_topic_score_gemma":0.00060649985,"teacher_disagreement_score":0.005442253,"about_ca_system_score_codex":0.00022168444,"about_ca_system_score_gemma":0.00015432689,"threshold_uncertainty_score":0.01820618},"labels":[],"label_agreement":null},{"id":"W4403440036","doi":"10.5121/ijaia.2024.15504","title":"Transformer-Based Regression Models for Assessing Reading Passage Complexity: A Deep Learning Approach in Natural Language Processing","year":2024,"lang":"en","type":"article","venue":"International Journal of Artificial Intelligence & Applications","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Computer science; Transformer; Artificial intelligence; Natural language processing; Deep learning; Regression; Machine learning; Statistics; Electrical engineering; Mathematics","score_opus":0.07330698097469918,"score_gpt":0.37530803584542255,"score_spread":0.3020010548707234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403440036","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12466798,0.00042533973,0.8699631,0.0003455647,0.00005009469,0.00007524853,0.00048724998,0.0026900393,0.0012953493],"genre_scores_gemma":[0.85194635,0.0003361067,0.1421108,0.0001056858,0.000041013493,0.00012101901,0.001359215,0.00022563145,0.0037541946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995258,0.00017685573,0.000034260633,0.00015049869,0.000074132084,0.000038496724],"domain_scores_gemma":[0.9973646,0.0017621905,0.00025260658,0.00020891952,0.00034198439,0.00006970845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001181174,0.0010509818,0.0006016197,0.0010841319,0.00022246344,0.0010532641,0.001070232,0.0007544776,0.0019275013],"category_scores_gemma":[0.0067843297,0.0003121762,0.00077936496,0.0010703529,0.00046371043,0.0024127066,0.0009313138,0.0020493115,0.0009156722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006007775,0.00037350284,0.0081466315,0.00017897619,0.00018441568,0.00017673355,0.00032403084,0.57252264,0.017172303,0.008384518,0.0031169574,0.38881862],"study_design_scores_gemma":[0.000003865959,0.00004259612,0.0004081628,0.00000415254,0.000009956383,0.000014923297,0.000012806591,0.9951102,0.0014003941,0.0028406542,0.00014591377,0.0000063570374],"about_ca_topic_score_codex":0.003815864,"about_ca_topic_score_gemma":0.0046803937,"teacher_disagreement_score":0.003815864,"about_ca_system_score_codex":0.0007357859,"about_ca_system_score_gemma":0.00048331273,"threshold_uncertainty_score":0.0075873137},"labels":[],"label_agreement":null},{"id":"W4403444399","doi":"10.48550/arxiv.2410.08674","title":"Guidelines for Fine-grained Sentence-level Arabic Readability Annotation","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Zayed University; York University; New York University Abu Dhabi","keywords":"Readability; Annotation; Arabic; Sentence; Natural language processing; Computer science; Linguistics; Artificial intelligence; Programming language; Philosophy","score_opus":0.3015222385074146,"score_gpt":0.2694105302271697,"score_spread":0.0321117082802449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403444399","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.066813774,0.0025298684,0.73127913,0.004772116,0.001801487,0.009730067,0.05147569,0.035925623,0.09567232],"genre_scores_gemma":[0.10372137,0.0008352846,0.76492554,0.0011631723,0.00043749003,0.017282171,0.08458918,0.00986349,0.017182263],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98045164,0.009191046,0.0040615452,0.0023964911,0.0033333823,0.00056583656],"domain_scores_gemma":[0.86108035,0.035540044,0.00458583,0.013439068,0.083308466,0.0020462007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022911789,0.002016073,0.0011946458,0.010391098,0.0028377778,0.0038476926,0.00290016,0.0019489771,0.0183381],"category_scores_gemma":[0.08934203,0.0009857364,0.0008958226,0.004350496,0.0018015783,0.0043470724,0.005951524,0.0032196306,0.019689156],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006374126,0.0004914178,0.012650151,0.006452464,0.0001275297,0.0010353369,0.027272774,0.00481016,0.10781395,0.022841007,0.3089619,0.5069058],"study_design_scores_gemma":[0.00020672767,0.0003208572,0.037428785,0.0036810462,0.0001783675,0.0012969967,0.008799078,0.032562032,0.0849557,0.03214762,0.7978855,0.00053725956],"about_ca_topic_score_codex":0.0056583625,"about_ca_topic_score_gemma":0.00958447,"teacher_disagreement_score":0.022911789,"about_ca_system_score_codex":0.0019600836,"about_ca_system_score_gemma":0.0045612855,"threshold_uncertainty_score":0.12117058},"labels":[],"label_agreement":null},{"id":"W4403510607","doi":"10.1523/jneurosci.0374-24.2024","title":"The Spatiotemporal Dynamics of Bottom–Up and Top–Down Processing during At-a-Glance Reading","year":2024,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; New York University Abu Dhabi; National Science Foundation","keywords":"Top-down and bottom-up design; Dynamics (music); Reading (process); Computer science; Physics; Linguistics; Acoustics; Programming language","score_opus":0.01674059201527363,"score_gpt":0.2681636207854258,"score_spread":0.2514230287701522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403510607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862554,0.0006771839,0.004390557,0.00035572413,0.000049134447,0.000047034846,0.0012092157,0.00024068695,0.0067749755],"genre_scores_gemma":[0.9955433,0.00028412603,0.0017462271,0.00010205659,0.000042390995,0.000038492308,0.00064243237,0.00008283179,0.0015182443],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999019,0.0000140574975,0.000005064035,0.000027718299,0.000025092722,0.000026225522],"domain_scores_gemma":[0.99965453,0.00012310907,0.00007369316,0.000026482217,0.00006516921,0.000057041863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016335641,0.00017624818,0.00030736715,0.00044762128,0.00019069841,0.0006226748,0.00017983791,0.00032952474,0.003180067],"category_scores_gemma":[0.0017874254,0.0002695547,0.00019641324,0.00043992215,0.00024772933,0.0005980828,0.00038849996,0.00048824254,0.0006633075],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008156584,0.00007593993,0.02156328,0.00023389673,0.00010415555,0.00051477185,0.0019861409,0.00063602347,0.9197414,0.001051985,0.0038225022,0.04945426],"study_design_scores_gemma":[0.000029318575,0.00014062814,0.97415483,0.000036009846,0.00005614896,0.00048497895,0.00057199725,0.0038695503,0.017221987,0.0016018172,0.0017910843,0.00004164014],"about_ca_topic_score_codex":0.0028492212,"about_ca_topic_score_gemma":0.0044613243,"teacher_disagreement_score":0.003180067,"about_ca_system_score_codex":0.0001830162,"about_ca_system_score_gemma":0.00016579198,"threshold_uncertainty_score":0.010638356},"labels":[],"label_agreement":null},{"id":"W4404781595","doi":"10.18653/v1/2024.findings-emnlp.564","title":"Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Computer science; Machine translation; Artificial intelligence; Translation (biology); Resource (disambiguation); Natural language processing; Computer network","score_opus":0.02065377648243963,"score_gpt":0.2803603852179046,"score_spread":0.2597066087354649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404781595","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35860392,0.0028428454,0.60761136,0.0032914774,0.00076675875,0.00019615632,0.0020216205,0.012821136,0.011844716],"genre_scores_gemma":[0.8624652,0.0005454098,0.12717605,0.00032667915,0.00020771803,0.00010248181,0.0041295267,0.00071514474,0.0043318854],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892825,0.0005314182,0.000065834225,0.00018789727,0.00016814773,0.00011840073],"domain_scores_gemma":[0.99636453,0.002124415,0.00020998699,0.0004856265,0.0006485881,0.00016679773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015041964,0.0010704553,0.00075474614,0.0012608297,0.000692789,0.0018801364,0.00068563706,0.0010025238,0.0027257602],"category_scores_gemma":[0.007449247,0.0003315336,0.0008168684,0.0008861683,0.00053746306,0.0021707418,0.0015243241,0.0015381514,0.0032875629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00220771,0.00043278755,0.010057003,0.00056937366,0.0003075794,0.0028803262,0.0010507159,0.02860669,0.087384686,0.007307153,0.03885931,0.82033664],"study_design_scores_gemma":[0.00015039052,0.00027868777,0.0057783625,0.00007241184,0.000121918034,0.0013265762,0.0010876881,0.9103625,0.052785996,0.017802862,0.010138892,0.000093727205],"about_ca_topic_score_codex":0.0019005617,"about_ca_topic_score_gemma":0.0029565236,"teacher_disagreement_score":0.0027257602,"about_ca_system_score_codex":0.00038025048,"about_ca_system_score_gemma":0.0006237746,"threshold_uncertainty_score":0.009118557},"labels":[],"label_agreement":null},{"id":"W4404914736","doi":"10.1109/vis55277.2024.00067","title":"From Graphs to Words: A Computer-Assisted Framework for the Production of Accessible Text Descriptions","year":2024,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Production (economics); Natural language processing; Artificial intelligence; Information retrieval","score_opus":0.053207467301638466,"score_gpt":0.3137622289964166,"score_spread":0.26055476169477815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404914736","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036687402,0.00031098607,0.97121745,0.0006495522,0.00012389381,0.0005187519,0.0014811703,0.013306083,0.008723418],"genre_scores_gemma":[0.044424955,0.00059094245,0.9419207,0.00017127747,0.00005200876,0.00067233836,0.0024828599,0.0028590271,0.006825873],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99697614,0.0015644932,0.00029448146,0.00047823365,0.00058340485,0.00010326265],"domain_scores_gemma":[0.99296325,0.0049295723,0.00039044424,0.0008024357,0.0005924254,0.00032197722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036177922,0.0024636409,0.00072232995,0.00524308,0.0013119815,0.008527349,0.0029696824,0.0015858073,0.021696554],"category_scores_gemma":[0.014191152,0.0008277908,0.0016251837,0.0027202142,0.003205005,0.008828062,0.005911083,0.0021280614,0.0069697],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005433269,0.00023383358,0.0011551544,0.0024042882,0.00008699524,0.002263098,0.030426677,0.013283652,0.02395858,0.40898088,0.04620316,0.47046039],"study_design_scores_gemma":[0.00010044846,0.00019863802,0.00054461084,0.0008792026,0.000077952966,0.0010268339,0.008785983,0.06957368,0.0178669,0.3739498,0.5267706,0.00022541429],"about_ca_topic_score_codex":0.0029235624,"about_ca_topic_score_gemma":0.0052515427,"teacher_disagreement_score":0.021696554,"about_ca_system_score_codex":0.0011518559,"about_ca_system_score_gemma":0.0024984146,"threshold_uncertainty_score":0.072582245},"labels":[],"label_agreement":null},{"id":"W4405576246","doi":"10.4995/eurocall2024.2024.19042","title":"Fostering equity, accessibility and academic integrity within an LMS module","year":2024,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Université du Québec à Montréal","keywords":"Academic integrity; Computer science; Learning Management; Asynchronous communication; Web accessibility; Comprehension; Presentation (obstetrics); Equity (law); Multimedia; Medical education; The Internet; World Wide Web; Telecommunications","score_opus":0.17842880774012973,"score_gpt":0.4075352660311423,"score_spread":0.2291064582910126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405576246","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95950264,0.00013729552,0.01518561,0.0009034458,0.000032833574,0.00024766137,0.00004953067,0.00023049227,0.023710517],"genre_scores_gemma":[0.98431313,0.00006254752,0.010757393,0.000118045704,0.000020183705,0.000080625185,0.00005322325,0.000026899792,0.0045680213],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99558014,0.0021457616,0.00028526387,0.0003207173,0.0012628611,0.00040514275],"domain_scores_gemma":[0.97846586,0.010291004,0.0031226077,0.002861198,0.0038877681,0.0013714687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005736398,0.00019771291,0.00024279194,0.0011004647,0.00090850616,0.0027842342,0.0007027913,0.0006814003,0.003585471],"category_scores_gemma":[0.031020757,0.000113315386,0.00022501395,0.00062957825,0.0010542118,0.0022685598,0.003856935,0.00080254115,0.0005524028],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034825082,0.002192086,0.16551344,0.00064757693,0.000047038757,0.0005004903,0.028644456,0.0011980482,0.02918243,0.018453583,0.0034210342,0.7498515],"study_design_scores_gemma":[0.00011381563,0.004507151,0.671939,0.0009813958,0.00018022774,0.001085365,0.034602713,0.009104725,0.11662953,0.029153008,0.13153404,0.00016896793],"about_ca_topic_score_codex":0.0010079046,"about_ca_topic_score_gemma":0.0017810169,"teacher_disagreement_score":0.005736398,"about_ca_system_score_codex":0.0009469751,"about_ca_system_score_gemma":0.0023946967,"threshold_uncertainty_score":0.030337334},"labels":[],"label_agreement":null},{"id":"W4405576871","doi":"10.4995/eurocall2024.2024.19026","title":"A semi-systematic review of research on generative artificial intelligence (GenAI) in second-language acquisition (SLA)","year":2024,"lang":"en","type":"review","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Affordance; Computer science; Milestone; Language acquisition; Reading (process); Field (mathematics); Psychology; Mathematics education; Linguistics; Human–computer interaction","score_opus":0.1947316809011773,"score_gpt":0.4681658255788571,"score_spread":0.2734341446776798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405576871","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015092335,0.99389005,0.0009693843,0.00073295715,0.00030660623,0.0013231634,0.00060402823,0.00002031684,0.0006441807],"genre_scores_gemma":[0.016550006,0.9749268,0.0032351771,0.00093135604,0.0000958522,0.0034496677,0.0004808849,0.000014891972,0.0003153504],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9758958,0.009846581,0.008550653,0.0014034741,0.0038296415,0.00047382526],"domain_scores_gemma":[0.90304345,0.07361043,0.010909977,0.0023105938,0.009395754,0.00072970474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025521483,0.0013913143,0.0050946074,0.017283777,0.0012226967,0.0037604317,0.0020129555,0.001943865,0.004175295],"category_scores_gemma":[0.108217806,0.0013105571,0.004903365,0.015394745,0.0018335851,0.004140196,0.0028018593,0.0016243584,0.00063031464],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009534506,0.00001592021,0.00047966014,0.93552494,0.001703459,0.0001280048,0.000856584,0.000075480566,0.00028787297,0.00069528393,0.0022143798,0.057923056],"study_design_scores_gemma":[0.00007487117,0.00011008173,0.0018599223,0.9518463,0.010828592,0.0003344659,0.0007717616,0.00005133532,0.00024952818,0.0006489399,0.033195436,0.000028863811],"about_ca_topic_score_codex":0.0070739696,"about_ca_topic_score_gemma":0.030107409,"teacher_disagreement_score":0.025521483,"about_ca_system_score_codex":0.005631251,"about_ca_system_score_gemma":0.030366419,"threshold_uncertainty_score":0.13497216},"labels":[],"label_agreement":null},{"id":"W4405629337","doi":"10.70637/xvc8m613","title":"L’utilisation de ChatGPT 3.5 pour la rétroaction corrective écrite interactive en enseignement-apprentissage du français langue seconde : une étude exploratoire","year":2024,"lang":"en","type":"article","venue":"Actes des Journées de linguistique","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Corrective feedback; Affordance; Psychology; Quality (philosophy); Perception; Computer science; Affect (linguistics); Language acquisition; Mathematics education; Pedagogy; Communication; Cognitive psychology","score_opus":0.011614954208429179,"score_gpt":0.2669293219336712,"score_spread":0.255314367725242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405629337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.636875,0.009451277,0.3132047,0.0020160943,0.0004492679,0.0025770923,0.0029241187,0.008805106,0.023697369],"genre_scores_gemma":[0.7052737,0.0032360342,0.2695684,0.00053143885,0.0002091385,0.0033054121,0.0032383883,0.0014285959,0.013208765],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99201465,0.005216759,0.00038069274,0.00081999006,0.0012922456,0.00027576965],"domain_scores_gemma":[0.97435683,0.020050336,0.0008215927,0.0013625934,0.0026356676,0.00077308266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010535998,0.0013428797,0.000703199,0.002941042,0.0012055982,0.004384089,0.0013967968,0.0018264514,0.004274284],"category_scores_gemma":[0.02106375,0.00053543417,0.0009220286,0.0016071117,0.0015540288,0.004657669,0.002872935,0.0019234538,0.001073565],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015425351,0.00078525365,0.018166127,0.0044159065,0.00026542667,0.002832166,0.09436998,0.004062134,0.049961448,0.01388908,0.0052850246,0.80442506],"study_design_scores_gemma":[0.0011655479,0.007110061,0.16118851,0.0066974666,0.0011865033,0.011264394,0.06640677,0.08843403,0.107718565,0.011704264,0.53554654,0.0015773276],"about_ca_topic_score_codex":0.009973546,"about_ca_topic_score_gemma":0.007918151,"teacher_disagreement_score":0.010535998,"about_ca_system_score_codex":0.0015347572,"about_ca_system_score_gemma":0.0029239098,"threshold_uncertainty_score":0.05572039},"labels":[],"label_agreement":null},{"id":"W4405686922","doi":"10.1352/1944-7558-130.1.76","title":"Résumés en Français","year":2024,"lang":"fr","type":"article","venue":"American Journal on Intellectual and Developmental Disabilities","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Computer science; Download; Information retrieval; World Wide Web; Programming language","score_opus":0.03277075305047605,"score_gpt":0.2774935311091289,"score_spread":0.24472277805865283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405686922","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00798885,0.018209722,0.002259346,0.019955892,0.026541432,0.00027969206,0.010463268,0.0008059577,0.91349596],"genre_scores_gemma":[0.01663987,0.0070912056,0.0009932036,0.002547605,0.0015051992,0.000111891415,0.0042428654,0.00038117493,0.96648717],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801207,0.00046035578,0.00019467564,0.0003683984,0.00063778076,0.0003266599],"domain_scores_gemma":[0.9967397,0.00040539476,0.0002436495,0.0003478898,0.0014100634,0.0008532995],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015981414,0.001165325,0.0008274067,0.002260428,0.0036460212,0.0053035575,0.0014651798,0.0019640883,0.5483572],"category_scores_gemma":[0.0059686345,0.00036428033,0.00056747417,0.0034300587,0.0012482579,0.003168469,0.0033599029,0.0020190503,0.31391865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016152447,0.00007685568,0.0020179346,0.00066724455,0.000020975736,0.00061852584,0.0013659564,0.00013865497,0.0006715684,0.022537224,0.7864662,0.18525727],"study_design_scores_gemma":[0.0000042828465,0.000013445989,0.00068184256,0.00013012585,0.0000020293419,0.000121201585,0.00029078047,0.00001781355,0.0000620452,0.00045025497,0.99822074,0.0000053763415],"about_ca_topic_score_codex":0.021343231,"about_ca_topic_score_gemma":0.022938784,"teacher_disagreement_score":0.5483572,"about_ca_system_score_codex":0.0028780662,"about_ca_system_score_gemma":0.006441895,"threshold_uncertainty_score":0.6442137},"labels":[],"label_agreement":null},{"id":"W4406074029","doi":"10.48550/arxiv.2407.16470","title":"Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Computer science; Machine translation; Translation (biology); Natural language processing; Artificial intelligence; Resource (disambiguation); Linguistics; Psychology; Chemistry; Philosophy","score_opus":0.05613422021312714,"score_gpt":0.2141775388453185,"score_spread":0.15804331863219137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406074029","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47314063,0.0035374137,0.49208522,0.0016558982,0.00046962636,0.00016293376,0.0012731076,0.01835234,0.00932288],"genre_scores_gemma":[0.8900662,0.00055043784,0.10175337,0.0002868648,0.00011394142,0.00005970693,0.0033451265,0.0005609479,0.0032633422],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998064,0.0010145397,0.00013666981,0.00036658914,0.00029006545,0.00012808721],"domain_scores_gemma":[0.9957001,0.0021985369,0.0003154114,0.00092823914,0.00066057645,0.00019721572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002771216,0.001320208,0.000923837,0.0012845405,0.0006694573,0.0019873807,0.0008319562,0.00093318394,0.0026015306],"category_scores_gemma":[0.0112487655,0.00035110256,0.0009710181,0.0011807713,0.0006715556,0.0029939287,0.0017234432,0.0014851113,0.0027589207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012957404,0.0004493261,0.015719248,0.00076624163,0.0006226281,0.0011106905,0.00080219377,0.1433593,0.0402347,0.006390348,0.021285363,0.7679642],"study_design_scores_gemma":[0.000050092458,0.0002608181,0.0031842878,0.000054603595,0.00008076841,0.0004729186,0.00044910045,0.9543313,0.02651114,0.008760671,0.0057922425,0.00005211062],"about_ca_topic_score_codex":0.0039478135,"about_ca_topic_score_gemma":0.0071045607,"teacher_disagreement_score":0.0039478135,"about_ca_system_score_codex":0.00062754477,"about_ca_system_score_gemma":0.0009717404,"threshold_uncertainty_score":0.014655769},"labels":[],"label_agreement":null},{"id":"W4406749487","doi":"10.1016/b978-0-323-95504-1.00344-6","title":"CompLex: An Eye-Movement Data Resource for Research on Compound Word Reading","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Reading (process); Word (group theory); Movement (music); Computer science; Resource (disambiguation); Eye movement; Linguistics; Natural language processing; Artificial intelligence; Art; Philosophy; Aesthetics","score_opus":0.22051508396738684,"score_gpt":0.4051230660394905,"score_spread":0.18460798207210366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406749487","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065336237,0.0009773728,0.046761863,0.00030449757,0.00025669328,0.00043329663,0.82444924,0.068166755,0.052116577],"genre_scores_gemma":[0.025337832,0.001445292,0.09976254,0.00029881246,0.00020885134,0.002250092,0.76877356,0.029900739,0.07202232],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992913,0.000095007366,0.00013004657,0.00013029062,0.00030452324,0.00004884435],"domain_scores_gemma":[0.9918311,0.0042564995,0.00038298196,0.001493825,0.0016326326,0.00040303072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011143682,0.0015313684,0.001399319,0.008474034,0.000624601,0.0025854905,0.0018685965,0.0009554729,0.2591055],"category_scores_gemma":[0.008407235,0.00068601314,0.0006011546,0.009691154,0.00032916025,0.003846291,0.0025593743,0.0010415184,0.12389261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042953683,0.00010256507,0.0019889425,0.001275326,0.000054492946,0.00018095742,0.00044705629,0.0005260349,0.00470536,0.0034041335,0.75520813,0.23167743],"study_design_scores_gemma":[0.00020907704,0.0001102753,0.014730715,0.00037720392,0.00011113299,0.0005987585,0.00046411745,0.0050455444,0.012304142,0.009337137,0.9565421,0.00016985869],"about_ca_topic_score_codex":0.007554942,"about_ca_topic_score_gemma":0.012119507,"teacher_disagreement_score":0.2591055,"about_ca_system_score_codex":0.00066601107,"about_ca_system_score_gemma":0.0013883705,"threshold_uncertainty_score":0.8667942},"labels":[],"label_agreement":null},{"id":"W4407002447","doi":"10.1007/978-3-031-79038-6_13","title":"Gender-Neutral English to Portuguese Machine Translator: Promoting Inclusive Language","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Portuguese; Computer science; Natural language processing; Linguistics; Artificial intelligence; Programming language; Philosophy","score_opus":0.012572199068466254,"score_gpt":0.26164184440604965,"score_spread":0.24906964533758338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407002447","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17688347,0.001835993,0.21924952,0.014982424,0.0040314766,0.0004532116,0.0014307213,0.0062219277,0.5749113],"genre_scores_gemma":[0.73442966,0.001368819,0.08852552,0.0030170765,0.0007001492,0.00034567143,0.0014683129,0.0060583763,0.16408639],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969831,0.0015376922,0.00012744238,0.0004066152,0.0007058118,0.00023927737],"domain_scores_gemma":[0.99431026,0.0025352356,0.00030569625,0.0009574063,0.0013951225,0.0004962744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036835435,0.00062056957,0.00039958488,0.0005986009,0.0017429764,0.0026583222,0.0009331968,0.0008815448,0.021457912],"category_scores_gemma":[0.011786998,0.00031930435,0.00024449095,0.00050631247,0.0012653911,0.0038030015,0.003692769,0.0016743587,0.011973536],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064196385,0.0004080907,0.0030283995,0.0011904608,0.000017560762,0.002721792,0.0584455,0.0007728814,0.06181962,0.09871517,0.11787452,0.65436405],"study_design_scores_gemma":[0.0000979764,0.0005043408,0.0061628837,0.0010255954,0.00008198947,0.0042931214,0.02585565,0.0063181696,0.060206447,0.044008058,0.8513273,0.000118610595],"about_ca_topic_score_codex":0.0009574732,"about_ca_topic_score_gemma":0.0022162274,"teacher_disagreement_score":0.021457912,"about_ca_system_score_codex":0.0006133047,"about_ca_system_score_gemma":0.0030883776,"threshold_uncertainty_score":0.07178384},"labels":[],"label_agreement":null},{"id":"W4407793840","doi":"10.1098/rsos.241313","title":"Text understanding in GPT-4 versus humans","year":2025,"lang":"en","type":"article","venue":"Royal Society Open Science","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Computer science; Computational biology","score_opus":0.06907462797592029,"score_gpt":0.34142323568442967,"score_spread":0.2723486077085094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407793840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96570045,0.00040234326,0.01352227,0.00054145436,0.00006101629,0.00010217186,0.0006463961,0.0009970721,0.018026853],"genre_scores_gemma":[0.9859578,0.000117383424,0.009542277,0.00024003584,0.00002135478,0.000067933084,0.0010976769,0.00010888356,0.0028465476],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99494743,0.0020917414,0.0003284239,0.0012976434,0.0009652602,0.00036950136],"domain_scores_gemma":[0.97809255,0.0136388,0.0019778833,0.0035886501,0.0017655751,0.0009365562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053852876,0.00068937265,0.00069868204,0.0016160328,0.0004749312,0.0034763934,0.0010995431,0.0016910263,0.0060937083],"category_scores_gemma":[0.037261266,0.00029474797,0.00046306508,0.0008614115,0.0016765122,0.0051172823,0.0026761997,0.0016112078,0.0018418202],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047527165,0.001417508,0.21111973,0.0016513666,0.00086835865,0.002158288,0.082445644,0.051199123,0.12935469,0.027012344,0.019660912,0.46835935],"study_design_scores_gemma":[0.0005815469,0.005882988,0.35162583,0.0005341557,0.00046160823,0.0034124414,0.031883277,0.3258476,0.09314667,0.10857878,0.07733084,0.00071419595],"about_ca_topic_score_codex":0.0026940077,"about_ca_topic_score_gemma":0.0019402103,"teacher_disagreement_score":0.0060937083,"about_ca_system_score_codex":0.0007947576,"about_ca_system_score_gemma":0.00058826944,"threshold_uncertainty_score":0.02848053},"labels":[],"label_agreement":null},{"id":"W4407842065","doi":"10.1145/3706468.3706483","title":"Got It! Prompting Readability Using ChatGPT to Enhance Academic Texts for Diverse Learning Needs","year":2025,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Readability; Computer science; Multimedia; World Wide Web; Natural language processing; Mathematics education; Psychology; Programming language","score_opus":0.04025664368284644,"score_gpt":0.3625063414730358,"score_spread":0.32224969779018936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407842065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82674646,0.0005388187,0.14381462,0.0007765774,0.0003305497,0.0019514982,0.00086129474,0.012532202,0.012447892],"genre_scores_gemma":[0.7820108,0.00037356414,0.20537779,0.00037913513,0.00009659904,0.0016183428,0.0010421311,0.00072753825,0.008374122],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814284,0.001164273,0.0001413167,0.00025855235,0.00019826656,0.000094715],"domain_scores_gemma":[0.9649898,0.02843747,0.0016984221,0.0021237812,0.001756534,0.0009940842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031562888,0.00094486616,0.0005327876,0.00062399375,0.00036785775,0.001243885,0.00080318033,0.00067045377,0.009191948],"category_scores_gemma":[0.04156893,0.00022929147,0.00036558567,0.00038810924,0.0005062903,0.0019718776,0.0018199655,0.0009150534,0.0022552428],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038871977,0.0017499971,0.033670496,0.0051469626,0.00010908924,0.0020074507,0.044091728,0.0043843347,0.19334199,0.002927194,0.01876614,0.68991756],"study_design_scores_gemma":[0.001977681,0.017842595,0.24537762,0.0033989109,0.0011762168,0.0074372552,0.040127642,0.096871346,0.2844932,0.02723146,0.27303043,0.0010357541],"about_ca_topic_score_codex":0.000380901,"about_ca_topic_score_gemma":0.0009561081,"teacher_disagreement_score":0.009191948,"about_ca_system_score_codex":0.00036035842,"about_ca_system_score_gemma":0.00057750713,"threshold_uncertainty_score":0.030750155},"labels":[],"label_agreement":null},{"id":"W4408863230","doi":"10.1109/icca62237.2024.10928130","title":"SmartCaption AI - Enhancing Web Accessibility with Context-Aware Image Descriptions Using Large Language Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University","funders":"","keywords":"Computer science; Context (archaeology); World Wide Web; Context model; Natural language processing; Artificial intelligence; Human–computer interaction; Information retrieval; Multimedia","score_opus":0.030489971609641994,"score_gpt":0.30176499911137444,"score_spread":0.27127502750173244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408863230","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062487684,0.0006341067,0.8378152,0.00028086195,0.000116254225,0.00040887235,0.0019304141,0.085517935,0.010808601],"genre_scores_gemma":[0.35700545,0.0005112235,0.62068343,0.00033256496,0.000056674802,0.00048254326,0.006736683,0.0026099302,0.011581464],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995353,0.00014153289,0.000045473138,0.00009373247,0.00015552784,0.000028476208],"domain_scores_gemma":[0.9981918,0.0009359841,0.00012008128,0.0003589859,0.00029404924,0.00009920665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006003973,0.0010274315,0.0003511926,0.00072684104,0.00019997379,0.0011300026,0.0010367754,0.0006243879,0.006077177],"category_scores_gemma":[0.00384859,0.00027168795,0.00086112623,0.00031167455,0.00036303938,0.0039021352,0.0016848664,0.000984174,0.0024413548],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086894823,0.000986228,0.0029551198,0.0020359636,0.0001849794,0.0009554854,0.002007876,0.030384453,0.117611274,0.019195367,0.032386206,0.79042816],"study_design_scores_gemma":[0.00017802491,0.000711154,0.00327743,0.00021319641,0.0001836827,0.0014602978,0.0008559478,0.73643243,0.122668914,0.02619821,0.1075529,0.00026785588],"about_ca_topic_score_codex":0.0024797677,"about_ca_topic_score_gemma":0.0026746094,"teacher_disagreement_score":0.006077177,"about_ca_system_score_codex":0.00031655037,"about_ca_system_score_gemma":0.0005469882,"threshold_uncertainty_score":0.020330131},"labels":[],"label_agreement":null},{"id":"W4409068941","doi":"10.18260/1-2-1153-52784","title":"Evaluation of the Accessibility of Engineering Vocabulary","year":2025,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Vocabulary; Computer science; Linguistics","score_opus":0.027480301984636742,"score_gpt":0.2964749120046319,"score_spread":0.26899461001999514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409068941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959275,0.00016687141,0.0011882774,0.000020145575,0.00001082523,0.00009814542,0.0001292628,0.000056016852,0.002402853],"genre_scores_gemma":[0.99604404,0.00010528047,0.0014163059,0.000015791267,0.0000073466604,0.000057210204,0.0003216109,0.000014866783,0.002017472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996554,0.0013402266,0.0004646436,0.00032481618,0.0011550247,0.0001612859],"domain_scores_gemma":[0.97120476,0.01712061,0.0023951835,0.0011911807,0.006508282,0.0015799823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036697271,0.0002925274,0.00038743974,0.0011011983,0.0002347212,0.00088569394,0.00043031503,0.0004276441,0.0033917977],"category_scores_gemma":[0.030896593,0.000109487184,0.0003770246,0.00043673304,0.00032438917,0.00082419155,0.00078185543,0.00030947485,0.00071780366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009978659,0.0038448877,0.46763423,0.0014907907,0.00039454902,0.00077721436,0.009026814,0.002822533,0.06841903,0.0004345554,0.001951063,0.43322563],"study_design_scores_gemma":[0.00026213235,0.022575617,0.9155818,0.00016175695,0.00030413424,0.0009560882,0.0043077013,0.0055066296,0.043451674,0.0003264269,0.0064759105,0.000090140406],"about_ca_topic_score_codex":0.0020869612,"about_ca_topic_score_gemma":0.0028359864,"teacher_disagreement_score":0.0036697271,"about_ca_system_score_codex":0.00036103913,"about_ca_system_score_gemma":0.00039388335,"threshold_uncertainty_score":0.01940757},"labels":[],"label_agreement":null},{"id":"W4409148165","doi":"10.3758/s13428-025-02656-9","title":"VOC-ADO: A lexical database for French-speaking adolescents","year":2025,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation","funders":"Agence Nationale de la Recherche","keywords":"Vocabulary; Computer science; Lemma (botany); Psychology; Linguistics; Lexical database; Mathematics education; Natural language processing","score_opus":0.3489859521934305,"score_gpt":0.6063080813811523,"score_spread":0.25732212918772185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409148165","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09861523,0.0027445403,0.051525313,0.0003241394,0.0002440287,0.0012151548,0.8002009,0.020529646,0.024601156],"genre_scores_gemma":[0.15487191,0.0013390516,0.08095579,0.00020944532,0.000101471116,0.0024119716,0.748798,0.0032509193,0.008061498],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991584,0.00019919737,0.00020857358,0.00022636344,0.00014353012,0.000063921245],"domain_scores_gemma":[0.99662447,0.0015238052,0.00025906958,0.00034264452,0.0010193088,0.00023062945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009935801,0.0011011038,0.0011283477,0.007239059,0.00073506095,0.0019875604,0.000883523,0.00085115066,0.028471649],"category_scores_gemma":[0.006494912,0.0003789891,0.00052915554,0.0036370752,0.00025212325,0.0019526762,0.0013594953,0.00045729,0.0132240355],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026960329,0.0005379518,0.032071363,0.006813822,0.00035556377,0.0020073832,0.004333157,0.0017257886,0.034351606,0.009163401,0.34253877,0.56340516],"study_design_scores_gemma":[0.0005558665,0.00038327693,0.062938504,0.0010699388,0.00050684554,0.0022117232,0.003432196,0.008895769,0.012633492,0.006065245,0.9010292,0.00027793803],"about_ca_topic_score_codex":0.01222934,"about_ca_topic_score_gemma":0.012155957,"teacher_disagreement_score":0.028471649,"about_ca_system_score_codex":0.00068295735,"about_ca_system_score_gemma":0.002048468,"threshold_uncertainty_score":0.09524715},"labels":[],"label_agreement":null},{"id":"W4409824787","doi":"10.5430/wjel.v15n6p11","title":"Shifting Roles: Employing AI-driven Translation Engines to Enhance the Writing Proficiency of EFL Learners","year":2025,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Translation (biology); Natural language processing; Linguistics; Chemistry","score_opus":0.01018622541184751,"score_gpt":0.2909843998097799,"score_spread":0.2807981743979324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409824787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99379057,0.00010477696,0.002679516,0.00014617122,0.000015078035,0.00008119524,0.000018308636,0.000095573065,0.0030689866],"genre_scores_gemma":[0.97078896,0.00017873358,0.023299497,0.00018559386,0.000010010095,0.00010965744,0.00006550843,0.000024725396,0.005337353],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994222,0.00023467242,0.0000563656,0.00011088778,0.00011417153,0.00006179308],"domain_scores_gemma":[0.9982218,0.0005754419,0.00022222214,0.00020674423,0.0003382558,0.00043555142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013516904,0.00039367838,0.0003358989,0.00046501178,0.00044777084,0.0014158309,0.00055929256,0.0004533244,0.0028027336],"category_scores_gemma":[0.004282214,0.00014934473,0.00019306915,0.00019650614,0.0004248336,0.0010417536,0.0008291511,0.0006388994,0.0013071127],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010651719,0.01815512,0.05789907,0.0007279777,0.00007401836,0.001998878,0.03100289,0.0011870489,0.15024911,0.0022909318,0.002694732,0.7326551],"study_design_scores_gemma":[0.0018569954,0.04458096,0.4054215,0.0011308619,0.0007479543,0.010179831,0.053992406,0.041242335,0.3325116,0.024885563,0.083064824,0.00038518503],"about_ca_topic_score_codex":0.0004187947,"about_ca_topic_score_gemma":0.0006512481,"teacher_disagreement_score":0.0028027336,"about_ca_system_score_codex":0.00023464134,"about_ca_system_score_gemma":0.0010653558,"threshold_uncertainty_score":0.009376049},"labels":[],"label_agreement":null},{"id":"W4410447618","doi":"10.3233/shti250612","title":"Utilizing Large Language Models to Monitor Social Media for Disability: An Analysis of Sentiment and Disability Models in Tweets","year":2025,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"York University","keywords":"Sentiment analysis; Social media; Computer science; Social model of disability; Language model; Natural language processing; Artificial intelligence; Psychology; World Wide Web; Psychiatry","score_opus":0.0679866848074883,"score_gpt":0.39370301037434774,"score_spread":0.3257163255668594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410447618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95510644,0.0003560452,0.036578912,0.0012064299,0.00011226075,0.00017572536,0.0028566627,0.0004886218,0.0031188568],"genre_scores_gemma":[0.98701143,0.00010020343,0.010211914,0.00008554033,0.000053083622,0.00007111847,0.0015583402,0.00003117841,0.0008773086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914336,0.00039469008,0.00006853722,0.00012896351,0.00018152947,0.00008295093],"domain_scores_gemma":[0.9946173,0.003976426,0.0005227638,0.00021269856,0.00054606836,0.0001247113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017670888,0.00075477635,0.00035771108,0.0019908547,0.00044576306,0.0009773052,0.0002829538,0.00042239533,0.0010071885],"category_scores_gemma":[0.0069276267,0.00012078259,0.00071336864,0.0010270787,0.00036692014,0.0017534648,0.00050632213,0.00080873567,0.0007704807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019702308,0.0014215314,0.45974728,0.00070981705,0.00061597145,0.0015781613,0.008605565,0.055536825,0.07488541,0.004523278,0.015278669,0.37512726],"study_design_scores_gemma":[0.000027769462,0.00039471337,0.19766949,0.00009801801,0.0001685472,0.0005925785,0.004959957,0.7690853,0.013061425,0.005747202,0.008091079,0.0001038208],"about_ca_topic_score_codex":0.003047571,"about_ca_topic_score_gemma":0.004130087,"teacher_disagreement_score":0.003047571,"about_ca_system_score_codex":0.0005807207,"about_ca_system_score_gemma":0.00030206665,"threshold_uncertainty_score":0.009345353},"labels":[],"label_agreement":null},{"id":"W4410469786","doi":"10.21608/tjhss.2025.340427.1298","title":"Raising University Students’ Critical Awareness of the Linguistic Limitations and the Potential Invalid Knowledge of ChatGPT Responses to Academic Writing Prompts","year":2025,"lang":"en","type":"article","venue":"Transcultural Journal of Humanities and Social Sciences/Transcultural Journal of Humanities and Social Sciences ","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Raising (metalworking); Psychology; Linguistics; Consciousness raising; Academic writing; Mathematics education; Pedagogy; Mathematics; Philosophy","score_opus":0.1438738242997092,"score_gpt":0.3649760790440655,"score_spread":0.22110225474435627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410469786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99256575,0.00017327364,0.0037049304,0.00063125585,0.00004112875,0.00018489054,0.000014268545,0.00007738908,0.0026069556],"genre_scores_gemma":[0.994093,0.00020108515,0.0041282964,0.0002582211,0.000025849127,0.0002359009,0.00001644392,0.000018592824,0.0010227179],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.984382,0.009496067,0.001336623,0.00097268564,0.002933592,0.00087906],"domain_scores_gemma":[0.8794922,0.06812839,0.024693428,0.0072289323,0.016045645,0.0044113593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017519979,0.00050556206,0.0005957658,0.0015201429,0.0026073758,0.004533503,0.0012588456,0.0013154178,0.0022396776],"category_scores_gemma":[0.095694125,0.00043075395,0.00038027368,0.0006422933,0.0023280117,0.00253403,0.003979653,0.0019337807,0.00067978556],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007672669,0.0012828952,0.14582554,0.0014727556,0.000066817774,0.0031191795,0.5708507,0.00041982238,0.05203615,0.0013938651,0.0027501683,0.22001489],"study_design_scores_gemma":[0.00012252631,0.0039086174,0.20894793,0.0020143,0.00024201989,0.0052042212,0.65526485,0.0033936705,0.07147252,0.005176457,0.043835554,0.00041739934],"about_ca_topic_score_codex":0.00058301724,"about_ca_topic_score_gemma":0.00093508774,"teacher_disagreement_score":0.017519979,"about_ca_system_score_codex":0.0015030489,"about_ca_system_score_gemma":0.0032174445,"threshold_uncertainty_score":0.0926556},"labels":[],"label_agreement":null},{"id":"W4410814295","doi":"10.2196/59054","title":"Evaluating the Readability of a Custom Generative Pre-Trained Transformer with Retrieval Augmentation for Pediatric Neurocutaneous Syndromes (Preprint)","year":2024,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Readability; Transformer; Computer science; Medicine; Artificial intelligence; Engineering; World Wide Web; Programming language; Electrical engineering","score_opus":0.0419523948505979,"score_gpt":0.35976101347469847,"score_spread":0.3178086186241006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410814295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9366115,0.00045401687,0.048794556,0.00014970574,0.00008689675,0.0005384108,0.0014737985,0.0076639764,0.004227236],"genre_scores_gemma":[0.91313255,0.00024585615,0.077375874,0.00019408634,0.000036160145,0.0003141353,0.0037746956,0.00048409845,0.004442526],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99929214,0.00025147604,0.00008540357,0.00021270686,0.00011914432,0.000039135448],"domain_scores_gemma":[0.98835284,0.009349833,0.00035923783,0.00080871617,0.00087871245,0.00025063637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013956119,0.0008389358,0.00037456633,0.00057206606,0.00017541526,0.0008012952,0.0011129535,0.00079026574,0.009813013],"category_scores_gemma":[0.012509723,0.00019246335,0.00052661134,0.00034761877,0.000276941,0.0010664378,0.000756079,0.0006698511,0.003014551],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004022652,0.0020925708,0.0249873,0.0017343621,0.00022772914,0.0018963406,0.0025163088,0.020593189,0.1262721,0.0004622485,0.009545413,0.8056498],"study_design_scores_gemma":[0.001363421,0.016071107,0.11360126,0.00035774693,0.0014349762,0.007568695,0.0022084494,0.3849632,0.43832666,0.0018988404,0.031916924,0.00028870947],"about_ca_topic_score_codex":0.0018142323,"about_ca_topic_score_gemma":0.0012792582,"teacher_disagreement_score":0.009813013,"about_ca_system_score_codex":0.00043632378,"about_ca_system_score_gemma":0.00043436355,"threshold_uncertainty_score":0.032827795},"labels":[],"label_agreement":null},{"id":"W4410903557","doi":"10.1111/bjet.13600","title":"Beyond verbal self‐explanations: Student annotations of a code‐tracing solution produced by <scp>ChatGPT</scp>","year":2025,"lang":"en","type":"article","venue":"British Journal of Educational Technology","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tracing; Code (set theory); Computer science; Nonverbal communication; Programming language; Mathematics education; Psychology; Communication","score_opus":0.007584775305880134,"score_gpt":0.28101598039395104,"score_spread":0.2734312050880709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410903557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860415,0.000042719068,0.010282143,0.00018076571,0.000024213046,0.000121437,0.00011806829,0.00038302402,0.0028061655],"genre_scores_gemma":[0.98532176,0.000056018707,0.011512416,0.000109220244,0.000010166838,0.0002467961,0.00020011961,0.00015944144,0.002384011],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99364245,0.0038159993,0.00038827647,0.00076727854,0.0010275806,0.0003584367],"domain_scores_gemma":[0.90877336,0.06981908,0.0077919275,0.0049358704,0.0067904154,0.0018893987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005392889,0.0007158404,0.00060335844,0.00096902595,0.0010703458,0.0023223148,0.0011834082,0.0016441325,0.005112958],"category_scores_gemma":[0.06974377,0.0003836354,0.00033047237,0.00067994074,0.0016421332,0.002130499,0.0025265252,0.0015096182,0.0010087178],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00183299,0.0034218072,0.10334235,0.0021875594,0.000111015994,0.0022277925,0.5428252,0.006150689,0.093601994,0.0044399775,0.007082357,0.2327763],"study_design_scores_gemma":[0.0005408894,0.012121235,0.24466343,0.002031851,0.00044035935,0.0025981003,0.2992774,0.10693599,0.22144376,0.017581984,0.09116732,0.0011976374],"about_ca_topic_score_codex":0.0011365522,"about_ca_topic_score_gemma":0.0019506317,"teacher_disagreement_score":0.005392889,"about_ca_system_score_codex":0.00083422736,"about_ca_system_score_gemma":0.0009162819,"threshold_uncertainty_score":0.028520703},"labels":[],"label_agreement":null},{"id":"W4411661176","doi":"10.63282/3050-9416.ijaibdcms-v4i4p105","title":"What’s Next for Infrastructure? The Future of Code-Driven Healthcare","year":2023,"lang":"en","type":"article","venue":"International Journal of AI BigData Computational and Management Studies","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Health care; Code (set theory); Computer science; Business; Political science; Programming language","score_opus":0.048857138272683634,"score_gpt":0.35636302427187877,"score_spread":0.30750588599919515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411661176","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006145621,0.037058413,0.065828346,0.84659845,0.0045397975,0.00006474685,0.00025080316,0.0008570407,0.038656726],"genre_scores_gemma":[0.52052426,0.12543283,0.14684127,0.1640495,0.01158763,0.0005295109,0.0007972774,0.0025862218,0.027651448],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9907618,0.004694304,0.0002597845,0.0008122288,0.0021494578,0.0013223314],"domain_scores_gemma":[0.9723292,0.013352801,0.0010690852,0.0036127765,0.00458492,0.005051169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012618163,0.0007457386,0.00061240606,0.0017336493,0.0032454992,0.01343233,0.0026232067,0.0073812758,0.010598093],"category_scores_gemma":[0.024705851,0.00056253164,0.00081071677,0.0016160443,0.018607613,0.04034366,0.0072399303,0.009855238,0.004606178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007874643,0.00006524636,0.0012403727,0.000673526,0.000031653184,0.00020263769,0.0027464153,0.0020699492,0.0008489777,0.78978544,0.09113189,0.1111252],"study_design_scores_gemma":[0.000014286468,0.000039181876,0.000482517,0.001002107,0.000013781786,0.00024119823,0.00256236,0.0029688876,0.00045425104,0.5383098,0.45384967,0.00006190738],"about_ca_topic_score_codex":0.006816723,"about_ca_topic_score_gemma":0.0045425612,"teacher_disagreement_score":0.01343233,"about_ca_system_score_codex":0.005923304,"about_ca_system_score_gemma":0.012329786,"threshold_uncertainty_score":0.06673205},"labels":[],"label_agreement":null},{"id":"W4411858420","doi":"10.1007/978-3-031-92534-4_6","title":"Teaching Writing in the Time of ChatGPT: Rethinking What Counts as Learning","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Mathematics education; Psychology; History","score_opus":0.017946707834932407,"score_gpt":0.2568238882944543,"score_spread":0.2388771804595219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411858420","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.095290594,0.01383397,0.2202765,0.042372454,0.0047462946,0.00013647346,0.00025842304,0.0023905525,0.6206947],"genre_scores_gemma":[0.78315574,0.0051864795,0.09307734,0.0032874295,0.0014027501,0.00023819487,0.00036708967,0.002797369,0.11048777],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965617,0.0018134529,0.000107581276,0.00036869702,0.0009711214,0.0001774712],"domain_scores_gemma":[0.9773386,0.01789703,0.0005986538,0.0016028013,0.0016675811,0.000895309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031668432,0.0005584315,0.00060431875,0.0012469876,0.0015003876,0.009686198,0.0020420242,0.0012411098,0.014417079],"category_scores_gemma":[0.02264074,0.00031158034,0.00034249274,0.0013109953,0.0075434987,0.013974812,0.003565574,0.005224116,0.0023823618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013970723,0.00019255452,0.0022993698,0.0006926082,0.000018139135,0.00012794948,0.05114486,0.00063256314,0.0033033618,0.40225098,0.04063241,0.4985655],"study_design_scores_gemma":[0.00004489733,0.00024155808,0.010607888,0.0018931049,0.000060831768,0.00059321243,0.036096152,0.0072124694,0.0106218895,0.59289926,0.33963895,0.0000897899],"about_ca_topic_score_codex":0.0018671927,"about_ca_topic_score_gemma":0.0040819957,"teacher_disagreement_score":0.014417079,"about_ca_system_score_codex":0.0025027702,"about_ca_system_score_gemma":0.0022436471,"threshold_uncertainty_score":0.048229933},"labels":[],"label_agreement":null},{"id":"W4412438704","doi":"10.1145/3730436.3730449","title":"AltGen: AI-Driven Alt Text Generation for Enhancing EPUB Accessibility","year":2025,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Multimedia; World Wide Web","score_opus":0.029501659790527116,"score_gpt":0.3233822716840986,"score_spread":0.2938806118935715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412438704","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034995332,0.0003208457,0.76877356,0.00035261502,0.00064057123,0.0005575401,0.004974642,0.16789591,0.021488983],"genre_scores_gemma":[0.25436002,0.00029347866,0.6775792,0.00036969662,0.00022828649,0.0006904719,0.014541694,0.021395244,0.030541921],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942774,0.000143817,0.00005057202,0.00011449973,0.00021786868,0.0000455471],"domain_scores_gemma":[0.9978002,0.0009540011,0.000095934156,0.00039460478,0.0006663444,0.00008882559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006186807,0.0012978752,0.00051653414,0.0010238654,0.0004206961,0.0012759799,0.0013793173,0.00088518055,0.03989324],"category_scores_gemma":[0.0040324586,0.00041401092,0.00063900626,0.0006048846,0.00035907314,0.0015980965,0.0016512783,0.0011017134,0.013192824],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001193676,0.00033690876,0.0013275247,0.0013547655,0.00009785706,0.0009415845,0.00089009514,0.020701787,0.12143694,0.009789264,0.12989822,0.71203136],"study_design_scores_gemma":[0.00037859372,0.00049738545,0.0019985193,0.00011767533,0.00015209032,0.0008316054,0.00047497344,0.5548845,0.25862297,0.018034099,0.1638717,0.00013596764],"about_ca_topic_score_codex":0.0008928618,"about_ca_topic_score_gemma":0.0013384867,"teacher_disagreement_score":0.03989324,"about_ca_system_score_codex":0.00027674224,"about_ca_system_score_gemma":0.00041630515,"threshold_uncertainty_score":0.13345617},"labels":[],"label_agreement":null},{"id":"W4412439187","doi":"10.1167/jov.25.9.2451","title":"Psychophysics of variable fonts: Do multiple font features interact to impact readability?","year":2025,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Font; Readability; Legibility; Variable (mathematics); Psychophysics; Typography; Computer science; Psychology; Artificial intelligence; Mathematics; Art; Perception; Visual arts; Neuroscience; Programming language","score_opus":0.008370482320446177,"score_gpt":0.32793806992256624,"score_spread":0.31956758760212006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412439187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99096394,0.00041867452,0.0060715494,0.00012939094,0.000056698787,0.00006012379,0.00015157126,0.00017715033,0.0019709286],"genre_scores_gemma":[0.9918007,0.00013294737,0.0070019136,0.000138919,0.000020905416,0.00009398941,0.00010331719,0.00014112308,0.00056610256],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995202,0.0001275624,0.00004294772,0.00014476648,0.00012292746,0.000041638068],"domain_scores_gemma":[0.99663746,0.0020738204,0.00051390415,0.00026852143,0.0002848971,0.00022139175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055003015,0.00044774756,0.0004170865,0.0002561109,0.00025195506,0.0011108462,0.00027373186,0.00053137465,0.0032679571],"category_scores_gemma":[0.008104966,0.00033682724,0.00039209484,0.00013986554,0.00034452375,0.0010949549,0.000525779,0.0005505172,0.00035175856],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001569104,0.00017489019,0.009662569,0.00027398925,0.00006308217,0.0001489695,0.0007789813,0.00043804265,0.969342,0.0002607815,0.00034034107,0.01694718],"study_design_scores_gemma":[0.000495285,0.0056028925,0.7163408,0.00018366234,0.0005584951,0.001473304,0.0013807636,0.014246086,0.2500918,0.004760224,0.0046811686,0.00018556432],"about_ca_topic_score_codex":0.00042144873,"about_ca_topic_score_gemma":0.00051383476,"teacher_disagreement_score":0.0032679571,"about_ca_system_score_codex":0.00019432355,"about_ca_system_score_gemma":0.00013013776,"threshold_uncertainty_score":0.010932386},"labels":[],"label_agreement":null},{"id":"W4412888009","doi":"10.18653/v1/2025.findings-acl.842","title":"A Large and Balanced Corpus for Fine-grained Arabic Readability Assessment","year":2025,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Zayed University; York University; New York University Abu Dhabi","keywords":"Readability; Computer science; Arabic; Natural language processing; Artificial intelligence; Linguistics; Programming language","score_opus":0.01269413613571176,"score_gpt":0.30108169048524575,"score_spread":0.288387554349534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412888009","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49169806,0.005911742,0.17357258,0.002162712,0.002200969,0.004797754,0.2235878,0.023281133,0.07278722],"genre_scores_gemma":[0.4177875,0.0009797564,0.19058332,0.000654578,0.0005523766,0.00687612,0.3629083,0.0029306035,0.016727533],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958461,0.0014989412,0.00057901035,0.0008906564,0.0010187498,0.00016649756],"domain_scores_gemma":[0.9821508,0.0055714864,0.00094219536,0.002248474,0.008292869,0.0007941469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030123563,0.0016978071,0.00083342445,0.0062015504,0.0016766662,0.0019319105,0.0011265214,0.001084213,0.016465781],"category_scores_gemma":[0.018900583,0.00028452417,0.0005019736,0.0030759885,0.00086784415,0.0024212974,0.0034277076,0.0014775306,0.010339954],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013641405,0.0007986341,0.023725858,0.00557125,0.00019981338,0.0015793686,0.0076092,0.0048355674,0.071839996,0.004899821,0.26809043,0.609486],"study_design_scores_gemma":[0.00051022315,0.001082526,0.19803828,0.0017885996,0.00033468145,0.0036967844,0.010530073,0.044010468,0.087761626,0.010512133,0.64112484,0.00060977135],"about_ca_topic_score_codex":0.003278109,"about_ca_topic_score_gemma":0.0048985556,"teacher_disagreement_score":0.016465781,"about_ca_system_score_codex":0.0008511559,"about_ca_system_score_gemma":0.0013519499,"threshold_uncertainty_score":0.055083513},"labels":[],"label_agreement":null},{"id":"W4413051028","doi":"10.1177/19160216251360651","title":"Readability, Reliability, and Quality Analysis of Internet-Based Patient Education Materials and Large Language Models on Meniere’s Disease","year":2025,"lang":"en","type":"article","venue":"Journal of Otolaryngology - Head and Neck Surgery","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Sinai Health System; Dalhousie University; University of Toronto","funders":"","keywords":"Readability; CLARITY; Reliability (semiconductor); Medicine; Guideline; Index (typography); Plain language; Health literacy; Reading (process); Quality Score; Inclusion (mineral); Quality (philosophy); Medical education; Computer science; Psychology; Health care; World Wide Web; Pathology","score_opus":0.02087976903293051,"score_gpt":0.30006910361358036,"score_spread":0.2791893345806499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413051028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941723,0.0016857815,0.0011883163,0.00016666946,0.000041255786,0.00023818445,0.0011801143,0.00004030717,0.0012872429],"genre_scores_gemma":[0.9968117,0.00045217967,0.0010770699,0.000067376146,0.000036598045,0.00022307331,0.000971978,0.000016867234,0.0003431908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.97905123,0.009732459,0.004280499,0.0013574272,0.00514356,0.00043473914],"domain_scores_gemma":[0.8596143,0.07581903,0.03857585,0.005371864,0.019195335,0.0014236303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029619861,0.00050109404,0.0007727432,0.004160404,0.0003784333,0.0014717086,0.0005822948,0.0005513316,0.00243742],"category_scores_gemma":[0.10283858,0.00026840685,0.0018368181,0.0020860357,0.00074562815,0.0017233668,0.0017626212,0.0005729437,0.00041335158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015651067,0.00037877695,0.93360424,0.0009992177,0.0008953031,0.000080160586,0.003561008,0.00037452907,0.0003413178,0.000098144395,0.0016706544,0.05643159],"study_design_scores_gemma":[0.0001024159,0.0007863583,0.9930733,0.00041939726,0.0003610579,0.00016787485,0.001081762,0.0018337205,0.00075622613,0.00012715573,0.0012429839,0.000047675254],"about_ca_topic_score_codex":0.0018535886,"about_ca_topic_score_gemma":0.002551706,"teacher_disagreement_score":0.029619861,"about_ca_system_score_codex":0.0009928728,"about_ca_system_score_gemma":0.0006570557,"threshold_uncertainty_score":0.15664667},"labels":[],"label_agreement":null},{"id":"W4413888947","doi":"10.1007/978-3-032-03870-8_20","title":"Improving Text Readability to Support Student Comprehension and Learning: An LLM-Powered Approach","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Readability; Computer science; Comprehension; Multimedia; Human–computer interaction; Artificial intelligence; Natural language processing; Programming language","score_opus":0.020871257842508196,"score_gpt":0.2735095957058067,"score_spread":0.2526383378632985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413888947","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11270746,0.0021269796,0.7702523,0.0039267335,0.00036366703,0.00077077234,0.0008080137,0.018371249,0.09067284],"genre_scores_gemma":[0.5000405,0.0011781724,0.42739493,0.0008111307,0.0003012097,0.0006958212,0.0011515416,0.0015580951,0.06686859],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987294,0.00035636895,0.00006505552,0.00018413711,0.00059653906,0.00006855425],"domain_scores_gemma":[0.99515355,0.0023391282,0.00044243992,0.00086568383,0.0010045049,0.00019466493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013313263,0.000786025,0.00072394044,0.001709775,0.00040814994,0.0019950515,0.0017534607,0.0009406709,0.014467284],"category_scores_gemma":[0.008136329,0.0002912476,0.00058339216,0.0014238593,0.00043113643,0.0021650542,0.0021811477,0.0012113572,0.0049919426],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016277835,0.00048723468,0.0015026925,0.00065217895,0.00002407968,0.000098831806,0.0006395543,0.0021131937,0.06668314,0.0065600993,0.010794461,0.9102818],"study_design_scores_gemma":[0.0003357973,0.00326878,0.03325946,0.0011725564,0.00054829085,0.001497273,0.0019044526,0.17068557,0.42865354,0.08545104,0.27299082,0.00023249509],"about_ca_topic_score_codex":0.00041891765,"about_ca_topic_score_gemma":0.00063544256,"teacher_disagreement_score":0.014467284,"about_ca_system_score_codex":0.00058049016,"about_ca_system_score_gemma":0.00092195306,"threshold_uncertainty_score":0.04839784},"labels":[],"label_agreement":null},{"id":"W4414185190","doi":"10.1002/curj.350","title":"Enhancing curriculum enactment: Leveraging <scp>ChatGPT</scp> to design a spelling programme based on the British Columbia standards","year":2025,"lang":"en","type":"article","venue":"The Curriculum Journal","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spelling; Curriculum; Literacy; Generative grammar; Teaching method; Curriculum development","score_opus":0.01800039673444461,"score_gpt":0.2527503013296735,"score_spread":0.2347499045952289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414185190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7249127,0.00018674562,0.1874213,0.0009060547,0.00012603107,0.0022872535,0.00030428646,0.011615342,0.07224035],"genre_scores_gemma":[0.64807755,0.00021345507,0.3147356,0.0002469434,0.000019924386,0.00073070545,0.00068517076,0.00074966054,0.034540992],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991129,0.00033380612,0.00005328245,0.00013901008,0.00026720154,0.00009388105],"domain_scores_gemma":[0.99653625,0.0013489237,0.00035801867,0.00038207287,0.00086150406,0.0005131504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012990717,0.0004156114,0.00018648537,0.0009194463,0.00056673284,0.0014240382,0.00082700956,0.00052615453,0.006959204],"category_scores_gemma":[0.0074792253,0.00027089776,0.00016196362,0.0005917786,0.0004143888,0.0009265008,0.00112167,0.0006566031,0.0016519498],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033708033,0.0028798056,0.014971893,0.00064606353,0.000021462705,0.00093302724,0.014073654,0.009355912,0.07761455,0.003950447,0.010978834,0.8642373],"study_design_scores_gemma":[0.00056908367,0.0041282745,0.116944104,0.0009985062,0.00024610592,0.001568184,0.016155891,0.14697799,0.17677112,0.0066671944,0.52856916,0.00040428535],"about_ca_topic_score_codex":0.020196032,"about_ca_topic_score_gemma":0.046483904,"teacher_disagreement_score":0.979804,"about_ca_system_score_codex":0.0012400564,"about_ca_system_score_gemma":0.0029081532,"threshold_uncertainty_score":0.04015696},"labels":[],"label_agreement":null},{"id":"W4414519711","doi":"10.3389/fpubh.2025.1619274","title":"HEAL-Summ: a lightweight and ethical framework for accessible summarization of health information","year":2025,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"Canada First Research Excellence Fund","keywords":"Automatic summarization; Software deployment; Health information; Scalability; Public health; Work (physics); Health communication; Key (lock)","score_opus":0.031307221388508326,"score_gpt":0.33050573203525996,"score_spread":0.2991985106467516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414519711","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010764095,0.00047815475,0.9486477,0.002866325,0.00023116208,0.0018829271,0.0053053014,0.020264706,0.009559667],"genre_scores_gemma":[0.09594004,0.00032277757,0.8863671,0.0004534718,0.00020701268,0.0014169906,0.009225904,0.00114533,0.0049215285],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.990785,0.005160943,0.00087220955,0.00075068086,0.002209704,0.0002213762],"domain_scores_gemma":[0.9726505,0.014743509,0.0022585765,0.0025677995,0.0068848548,0.0008947538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011389047,0.0014975922,0.0007047897,0.0053263414,0.0016002236,0.005078386,0.0017605108,0.0013605043,0.010312889],"category_scores_gemma":[0.05678321,0.00048527907,0.0011582744,0.0019445181,0.0012407989,0.004052621,0.003698786,0.0016837969,0.0028766883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006222867,0.0003482471,0.0060071023,0.0025647134,0.00025449815,0.0006285712,0.010447817,0.026043424,0.01807659,0.08893951,0.10323112,0.7428362],"study_design_scores_gemma":[0.00020463293,0.0006068465,0.0066939904,0.0015120566,0.00035595126,0.00051855517,0.006754301,0.43301138,0.02796486,0.18277808,0.33917472,0.00042473694],"about_ca_topic_score_codex":0.013076445,"about_ca_topic_score_gemma":0.024215559,"teacher_disagreement_score":0.013076445,"about_ca_system_score_codex":0.0025493163,"about_ca_system_score_gemma":0.0049646613,"threshold_uncertainty_score":0.060231745},"labels":[],"label_agreement":null},{"id":"W4414608819","doi":"10.1037/pag0000941","title":"Preserved context sensitivity in language production: Lexical differentiation in older adults.","year":2025,"lang":"en","type":"article","venue":"Psychology and Aging","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institutes of Health","keywords":"Referent; Cognition; Context (archaeology); Lexical item; Language development; Lexical access; Lexico; Age of Acquisition","score_opus":0.01350896058692912,"score_gpt":0.3019600597557132,"score_spread":0.2884510991687841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414608819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968996,0.0011628994,0.00032371393,0.000055172746,0.000011765577,0.000011716467,0.00015349327,0.000009264706,0.0013723169],"genre_scores_gemma":[0.9982344,0.00029753975,0.00054127054,0.00007777533,0.000012024931,0.000013687088,0.000114476825,0.000004279181,0.00070451567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998017,0.000029536945,0.000030948668,0.00007888441,0.000045117646,0.000013729196],"domain_scores_gemma":[0.99840325,0.0004987516,0.00072872004,0.00014025971,0.00010243757,0.00012649459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000487627,0.00026137466,0.00021002903,0.0005325533,0.00023095438,0.00062417064,0.0001759211,0.00041029608,0.0028787614],"category_scores_gemma":[0.0035460503,0.00015459138,0.00016148944,0.00031984024,0.0004930715,0.0009451291,0.0005184055,0.00029364397,0.00037546275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015549756,0.0004038207,0.6700247,0.00075180375,0.00012932034,0.0026415936,0.018284976,0.00014206392,0.12667501,0.00065419555,0.0010241418,0.17771342],"study_design_scores_gemma":[0.000007286839,0.00041593725,0.9932399,0.0000369431,0.000038278118,0.0011081578,0.0013189081,0.000099387544,0.00246932,0.00060900254,0.00064745505,0.000009503213],"about_ca_topic_score_codex":0.0014115161,"about_ca_topic_score_gemma":0.0026383006,"teacher_disagreement_score":0.0028787614,"about_ca_system_score_codex":0.00019366137,"about_ca_system_score_gemma":0.00016553894,"threshold_uncertainty_score":0.009630382},"labels":[],"label_agreement":null},{"id":"W4415213227","doi":"10.1177/08295735251387494","title":"Pinning Down the Accuracy Gap: Assessing Intervention Information About Dyslexia on Pinterest-Linked Web Pages","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of School Psychology","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Readability; Dyslexia; Reading (process); Psychological intervention; Intervention (counseling); Set (abstract data type); Social media; Web page","score_opus":0.0506934818766968,"score_gpt":0.3593327771524466,"score_spread":0.3086392952757498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415213227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873604,0.0009972918,0.0041012657,0.00050189346,0.00007007537,0.0014520531,0.00037746326,0.00016788805,0.004971812],"genre_scores_gemma":[0.9831244,0.0009540674,0.012292048,0.00040362886,0.000058238456,0.0013599609,0.0005522864,0.00005465474,0.001200689],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98304486,0.0076192315,0.0036591077,0.00087921496,0.0043427874,0.0004548965],"domain_scores_gemma":[0.8191504,0.128229,0.02951977,0.005153148,0.01615394,0.0017937417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020715615,0.00037329528,0.00094266987,0.0050631417,0.00061274087,0.002470695,0.00071992184,0.0008905304,0.0028711217],"category_scores_gemma":[0.17881238,0.00037383338,0.00082800415,0.002103291,0.0010735829,0.0045600687,0.0026460057,0.001121802,0.00048038812],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003327522,0.0032044013,0.3718912,0.008958953,0.00055526383,0.000560702,0.05019892,0.0007992079,0.0053602606,0.0010416674,0.003694094,0.5504077],"study_design_scores_gemma":[0.00043060054,0.006055015,0.9307535,0.0060072155,0.0009922574,0.0008721928,0.021520128,0.0034683144,0.0105704,0.0026308042,0.01652475,0.0001746443],"about_ca_topic_score_codex":0.0023199662,"about_ca_topic_score_gemma":0.0042696777,"teacher_disagreement_score":0.020715615,"about_ca_system_score_codex":0.0016008316,"about_ca_system_score_gemma":0.0021113448,"threshold_uncertainty_score":0.1095559},"labels":[],"label_agreement":null},{"id":"W4415379075","doi":"10.3758/s13428-025-02806-z","title":"LexKO: A quick, reliable lexical test of Korean language proficiency","year":2025,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Toronto","funders":"Kyung Hee University; University of Manitoba; City University of Hong Kong","keywords":"Language proficiency; Test (biology); Korean language; Multilingualism; Language assessment; Foreign language","score_opus":0.17705806644686634,"score_gpt":0.5632092123204916,"score_spread":0.38615114587362526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415379075","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9330615,0.0009268722,0.024126189,0.00050134887,0.00012473302,0.0026269504,0.014912653,0.0009831417,0.022736711],"genre_scores_gemma":[0.85621446,0.0013857662,0.07935589,0.00064258615,0.00005041014,0.0039334544,0.027421908,0.0003347991,0.030660693],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994049,0.00012261908,0.00019267907,0.00009367789,0.00014292703,0.00004324289],"domain_scores_gemma":[0.9981061,0.00029555112,0.00059216295,0.00018425751,0.00060091104,0.00022098505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010747444,0.0007247505,0.00039099765,0.0013530247,0.00031749276,0.0005020842,0.0005891355,0.00041422804,0.007787994],"category_scores_gemma":[0.0033621725,0.00019430909,0.00033524848,0.0004805544,0.00027761827,0.0013870767,0.00093128945,0.0005145261,0.002242089],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016652794,0.0020510973,0.46011955,0.0012735063,0.00035432487,0.0015386445,0.0033479065,0.0010434578,0.09274741,0.0019674797,0.031294532,0.4025968],"study_design_scores_gemma":[0.00021325784,0.0024160822,0.93910235,0.00022041485,0.00012839164,0.00371698,0.0018478902,0.0018460514,0.018767787,0.0012397857,0.030357987,0.0001430251],"about_ca_topic_score_codex":0.0014397056,"about_ca_topic_score_gemma":0.004493307,"teacher_disagreement_score":0.007787994,"about_ca_system_score_codex":0.00017619257,"about_ca_system_score_gemma":0.00062812783,"threshold_uncertainty_score":0.026053488},"labels":[],"label_agreement":null},{"id":"W4415966003","doi":"10.1145/3769994.3770056","title":"Hundreds of Warnings in Accessibility Checkers! How can ChatGPT Help?","year":2025,"lang":"","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Action (physics); Visualization; Data visualization; Key (lock); Component (thermodynamics)","score_opus":0.02123616937130161,"score_gpt":0.28361661881393585,"score_spread":0.2623804494426342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415966003","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14240861,0.0017631094,0.61043197,0.031183602,0.003379854,0.0010340675,0.0017119962,0.17312513,0.034961693],"genre_scores_gemma":[0.59571683,0.0008593046,0.337973,0.0070367213,0.00065626996,0.00055826077,0.0019404921,0.019549465,0.035709623],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9931385,0.0033995628,0.00037050978,0.0009683672,0.0017295609,0.0003934544],"domain_scores_gemma":[0.93321437,0.041599814,0.004132755,0.0112096295,0.007837017,0.0020064781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01039721,0.0014960264,0.000859497,0.0021196746,0.0016887182,0.0040482352,0.0027166721,0.0027728872,0.020112092],"category_scores_gemma":[0.083835945,0.0010032338,0.0007532049,0.00090872555,0.002424025,0.011819217,0.004258253,0.0036514457,0.00877859],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019914655,0.0007790666,0.01968899,0.0017263781,0.00015414975,0.0040852106,0.01833751,0.0066791065,0.031178975,0.025336552,0.18304187,0.70700073],"study_design_scores_gemma":[0.00054628414,0.0019638687,0.016059957,0.004030006,0.0005501761,0.0064041647,0.018203368,0.12005352,0.10523373,0.10165049,0.62454945,0.0007549617],"about_ca_topic_score_codex":0.0022943444,"about_ca_topic_score_gemma":0.0034902438,"teacher_disagreement_score":0.020112092,"about_ca_system_score_codex":0.0010007633,"about_ca_system_score_gemma":0.0014135299,"threshold_uncertainty_score":0.06728166},"labels":[],"label_agreement":null},{"id":"W4415974188","doi":"10.1016/j.procs.2025.09.549","title":"Content Safety and Response Quality in LLMs: A Data-Centric Refinement Approach","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Readability; Performance improvement; Quality management; Quality (philosophy); Coherence (philosophical gambling strategy); Natural language generation","score_opus":0.08154692548813655,"score_gpt":0.32179373135095823,"score_spread":0.24024680586282168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415974188","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07253767,0.0015821902,0.8950091,0.0027523122,0.00024850454,0.0006894786,0.0026503562,0.02155419,0.0029761835],"genre_scores_gemma":[0.5558924,0.00048468477,0.42897066,0.0012792926,0.00020352784,0.0006604524,0.0062745307,0.0014330349,0.0048014307],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99487936,0.0023645523,0.00039418618,0.001127812,0.0010179807,0.00021609223],"domain_scores_gemma":[0.9813944,0.009295258,0.0010120185,0.004697044,0.003226258,0.00037500128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008375165,0.0016891613,0.0014693275,0.0018847102,0.0005670478,0.0019695866,0.0034520389,0.0016745413,0.0030805129],"category_scores_gemma":[0.027443811,0.0007457756,0.0018509941,0.0009924216,0.0014990646,0.0045119254,0.0030046843,0.00341549,0.002360961],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020398977,0.0007399185,0.01595411,0.0013763106,0.00040491598,0.0004567592,0.0012379137,0.36896637,0.052392833,0.014434635,0.019075539,0.5229208],"study_design_scores_gemma":[0.00008536003,0.00038156132,0.0014145547,0.0000624365,0.00011605255,0.00013094612,0.00015514714,0.9550723,0.01526056,0.019814143,0.0074477484,0.00005925892],"about_ca_topic_score_codex":0.007913541,"about_ca_topic_score_gemma":0.011628542,"teacher_disagreement_score":0.008375165,"about_ca_system_score_codex":0.0020764107,"about_ca_system_score_gemma":0.0029907238,"threshold_uncertainty_score":0.04429263},"labels":[],"label_agreement":null},{"id":"W4416033663","doi":"10.18653/v1/2025.tsar-1.9","title":"OneNRC@TSAR2025 Shared Task Small Models for Readability Controlled Text Simplification","year":2025,"lang":"","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Readability; Task (project management); Text simplification; Feature (linguistics); Task analysis","score_opus":0.042788311038452,"score_gpt":0.28355592530195345,"score_spread":0.24076761426350146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416033663","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.082879394,0.0006579566,0.6920978,0.0016250436,0.0009219128,0.0021966444,0.005775156,0.19426015,0.019585997],"genre_scores_gemma":[0.455949,0.00022596469,0.46994886,0.00075124315,0.00020471144,0.0022546863,0.02858084,0.012508785,0.029575918],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99509466,0.0019898661,0.00031508438,0.001119696,0.0012126549,0.0002680684],"domain_scores_gemma":[0.98541147,0.005586796,0.0005138179,0.005435879,0.0022768294,0.0007752545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005710749,0.0016538438,0.0013980297,0.0011238535,0.0009865438,0.0028536466,0.0037665265,0.0015585078,0.019694882],"category_scores_gemma":[0.02500749,0.0007577658,0.001438162,0.0006344102,0.0008538443,0.00477551,0.0033969835,0.002923436,0.01083891],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036932284,0.0022987712,0.0065100393,0.0024915899,0.0006562234,0.0007298519,0.0023183567,0.13772538,0.047341507,0.020353533,0.24106714,0.53481436],"study_design_scores_gemma":[0.00043795287,0.0011050977,0.0020826638,0.000092060116,0.0001372325,0.00024599352,0.00035255752,0.85978556,0.029565051,0.0133703565,0.092653885,0.00017160199],"about_ca_topic_score_codex":0.008748273,"about_ca_topic_score_gemma":0.014252447,"teacher_disagreement_score":0.019694882,"about_ca_system_score_codex":0.0022160872,"about_ca_system_score_gemma":0.0028954193,"threshold_uncertainty_score":0.06588596},"labels":[],"label_agreement":null},{"id":"W4416037532","doi":"10.18653/v1/2025.emnlp-demos.74","title":"BAREC Demo: Resources and Tools for Sentence-level Arabic Readability Assessment","year":2025,"lang":"","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Readability; Arabic; Legibility; Feature (linguistics)","score_opus":0.07263354252581768,"score_gpt":0.331101482548212,"score_spread":0.2584679400223943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416037532","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035672687,0.00068487716,0.16068731,0.0004632717,0.00036277075,0.0017880161,0.28330383,0.4858335,0.031203808],"genre_scores_gemma":[0.12379178,0.00042444773,0.31422952,0.0005194846,0.00019025982,0.00562096,0.5033028,0.03030072,0.02161996],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987664,0.00027511045,0.00015229336,0.00034833763,0.0003781503,0.000079763566],"domain_scores_gemma":[0.9947035,0.0017303627,0.00039699252,0.0009705677,0.0017542024,0.00044431802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016855435,0.0024690046,0.0009398781,0.0055258414,0.0005954002,0.0015427007,0.0015302337,0.0008817599,0.040460672],"category_scores_gemma":[0.009851601,0.00064545945,0.00070520025,0.0018249551,0.00037802116,0.0031311677,0.0027969622,0.0011480089,0.026328837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012533229,0.00055336894,0.00786465,0.002052344,0.00015859093,0.00058124453,0.0018826273,0.0036315212,0.024041232,0.0031844124,0.6088206,0.34597597],"study_design_scores_gemma":[0.00055066834,0.0005822488,0.056617174,0.0007897323,0.00019171911,0.0014893406,0.0023515455,0.11604701,0.09619155,0.016107457,0.7083347,0.00074690604],"about_ca_topic_score_codex":0.0056070047,"about_ca_topic_score_gemma":0.008315653,"teacher_disagreement_score":0.040460672,"about_ca_system_score_codex":0.00064612384,"about_ca_system_score_gemma":0.0011026972,"threshold_uncertainty_score":0.13535446},"labels":[],"label_agreement":null},{"id":"W4416037651","doi":"10.18653/v1/2025.arabicnlp-sharedtasks.46","title":"Noor at BAREC Shared Task 2025: A Hybrid Transformer-Feature Architecture for Sentence-level Readability Assessment","year":2025,"lang":"","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Readability; Task (project management); Architecture; Task analysis","score_opus":0.032077260013275675,"score_gpt":0.30372814434762463,"score_spread":0.271650884334349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416037651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50448495,0.0035658139,0.2280293,0.0013637184,0.0017803576,0.002556422,0.075527556,0.1456195,0.037072368],"genre_scores_gemma":[0.71164596,0.00035346084,0.119505055,0.00060948654,0.00018409042,0.0017581953,0.13599208,0.0031643792,0.02678729],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998278,0.00048569078,0.00009361439,0.00063495204,0.00033859635,0.00016910107],"domain_scores_gemma":[0.9969989,0.0007507315,0.0001271733,0.00072501285,0.0011260586,0.00027225734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002630937,0.0021520057,0.0010880283,0.0015539548,0.0006824245,0.001699252,0.0022259864,0.0016929496,0.012497612],"category_scores_gemma":[0.008405987,0.00046568163,0.0012254519,0.0006833399,0.0003756799,0.003072469,0.0026864505,0.0020216617,0.01145272],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002351362,0.0014051527,0.0130275525,0.0011122121,0.00049459696,0.0004118856,0.0008958549,0.01889699,0.04763667,0.0016934788,0.15696923,0.755105],"study_design_scores_gemma":[0.00075337745,0.003940946,0.058379527,0.0004101495,0.00066374114,0.0009174695,0.0011972394,0.6961703,0.11608425,0.014915596,0.106045485,0.00052189163],"about_ca_topic_score_codex":0.012140489,"about_ca_topic_score_gemma":0.0192966,"teacher_disagreement_score":0.012497612,"about_ca_system_score_codex":0.0010775088,"about_ca_system_score_gemma":0.0012260274,"threshold_uncertainty_score":0.041808665},"labels":[],"label_agreement":null},{"id":"W4416193684","doi":"10.1080/23273798.2025.2585303","title":"Surprisal in reading: language models predict the N400 for L2 readers","year":2025,"lang":"en","type":"article","venue":"Language Cognition and Neuroscience","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Graduate Student Association, Fordham University; National Science Foundation of Sri Lanka; Alliance de recherche numérique du Canada; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"N400; Language model; Semantics (computer science); Computational linguistics; Utterance","score_opus":0.029082565216570468,"score_gpt":0.29391346949582764,"score_spread":0.26483090427925715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416193684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977366,0.000025619762,0.0011167907,0.0000320247,0.000003420819,0.000009274218,0.0000318261,0.00003129174,0.0010131509],"genre_scores_gemma":[0.99937797,0.000013790722,0.00033262908,0.00001034573,0.00000266472,0.000005174308,0.00003164133,0.000012041508,0.0002137735],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997286,0.00008553463,0.000021362112,0.00007616965,0.000063307074,0.000024987276],"domain_scores_gemma":[0.99492466,0.0035970893,0.0007075919,0.00030895323,0.000302719,0.00015896665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008565832,0.0004332797,0.0002150515,0.00038542118,0.00018181796,0.0011885557,0.0001692067,0.00055844855,0.0019139952],"category_scores_gemma":[0.009985163,0.0002321251,0.00025592124,0.00017048692,0.00033640699,0.000993353,0.00057865237,0.00056617265,0.00037544093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024762296,0.00053223595,0.66073084,0.00032703165,0.00028371005,0.002291839,0.018657599,0.0040102354,0.2612842,0.0012146215,0.0006444516,0.047547054],"study_design_scores_gemma":[0.00003606476,0.00044217383,0.9618382,0.00003311538,0.000090168665,0.0012356612,0.0026230093,0.017107146,0.013730663,0.0023498605,0.00045452407,0.00005948428],"about_ca_topic_score_codex":0.0020240548,"about_ca_topic_score_gemma":0.0024158577,"teacher_disagreement_score":0.0020240548,"about_ca_system_score_codex":0.00020086585,"about_ca_system_score_gemma":0.00018064462,"threshold_uncertainty_score":0.0064029694},"labels":[],"label_agreement":null},{"id":"W4416541694","doi":"10.48550/arxiv.2504.11814","title":"ARWI: Arabic Write and Improve","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Arabic; Grammar; Modern Standard Arabic; Profiling (computer programming); Arabic languages; Error analysis","score_opus":0.03535004254881862,"score_gpt":0.2728030644487988,"score_spread":0.2374530218999802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416541694","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059998836,0.00187247,0.35841763,0.0023419328,0.0011579,0.0012841137,0.010848486,0.4680607,0.09601803],"genre_scores_gemma":[0.1723694,0.0017829502,0.56033754,0.0014237439,0.000611511,0.0021411455,0.028375458,0.041760053,0.19119814],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99799937,0.0005642533,0.00016250373,0.0004148384,0.00073518156,0.00012382171],"domain_scores_gemma":[0.993186,0.002151588,0.0005341222,0.0017315084,0.0017365937,0.00066017587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024701967,0.0014947712,0.00059035356,0.0014754041,0.0007100367,0.0021524583,0.0013712152,0.000718603,0.042154834],"category_scores_gemma":[0.014703682,0.00035408983,0.0004387456,0.0008702513,0.0004287421,0.003293266,0.004030328,0.0014418791,0.04453139],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050913566,0.00031138663,0.001506028,0.0006661649,0.00003063353,0.00030412132,0.0025838001,0.0007396395,0.024311736,0.0036667697,0.22197421,0.74339646],"study_design_scores_gemma":[0.00021700343,0.0006536908,0.005548193,0.00030157034,0.00004157943,0.0011727617,0.0011437269,0.01452599,0.050262243,0.009060809,0.9169003,0.00017204932],"about_ca_topic_score_codex":0.00042395183,"about_ca_topic_score_gemma":0.0007874956,"teacher_disagreement_score":0.042154834,"about_ca_system_score_codex":0.0002718727,"about_ca_system_score_gemma":0.0008440719,"threshold_uncertainty_score":0.1410219},"labels":[],"label_agreement":null},{"id":"W4416829564","doi":"10.2139/ssrn.5813722","title":"Getting Personal: Individualized and User-Searchable Readability Results for a Large Corpus of Canadian Adjudicative Decisions","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Readability; Tribunal; Subject (documents); Resource (disambiguation); Empirical research; Word (group theory)","score_opus":0.03315900626650401,"score_gpt":0.3049321644477418,"score_spread":0.27177315818123776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416829564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74724376,0.002921473,0.018163728,0.0014735796,0.00022954907,0.0007115925,0.16642247,0.008339171,0.054494563],"genre_scores_gemma":[0.78754723,0.00071855803,0.029934766,0.00023981623,0.00008169786,0.00040991718,0.16156773,0.0022293392,0.017270999],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9961965,0.0008243441,0.00031807617,0.00067055586,0.001615683,0.00037496904],"domain_scores_gemma":[0.9634849,0.019691726,0.00091539946,0.004466839,0.0101647535,0.0012764178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032484897,0.0006697678,0.0007412593,0.0066001806,0.0024766051,0.0033740748,0.0010150877,0.0008674134,0.016302096],"category_scores_gemma":[0.04939649,0.00034704627,0.000489389,0.008065429,0.0014881408,0.0024591978,0.0025808464,0.0013100753,0.0045838812],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020279333,0.00085532264,0.08750346,0.0033087912,0.00042042416,0.0013248418,0.03899937,0.009402037,0.016848186,0.013882413,0.37512636,0.45030087],"study_design_scores_gemma":[0.00060866843,0.00034129372,0.5253232,0.00071461074,0.000506632,0.0009311463,0.029254327,0.042577803,0.02945461,0.016484542,0.3530946,0.0007085643],"about_ca_topic_score_codex":0.49654746,"about_ca_topic_score_gemma":0.6365799,"teacher_disagreement_score":0.50345254,"about_ca_system_score_codex":0.0047676796,"about_ca_system_score_gemma":0.008239168,"threshold_uncertainty_score":0.98731446},"labels":[],"label_agreement":null},{"id":"W4417199398","doi":"10.3390/curroncol32120696","title":"Readability Optimization of Layperson Summaries in Urological Oncology Clinical Trials: Outcomes from the BRIDGE-AI 8 Study","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Layperson; Readability; Inclusion (mineral); Reading (process); Syntax; Jargon; Health literacy; Clinical trial","score_opus":0.4333643882947104,"score_gpt":0.5451982854766254,"score_spread":0.111833897181915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417199398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9435313,0.005403259,0.01807602,0.002790894,0.00046953856,0.0087328125,0.0087412875,0.0016926812,0.010562176],"genre_scores_gemma":[0.9448269,0.0014715639,0.032617696,0.0011865252,0.0002753787,0.010342608,0.00662549,0.0002854474,0.0023683105],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9715096,0.022458944,0.0028056141,0.0012368241,0.0017672821,0.00022179149],"domain_scores_gemma":[0.720692,0.22801687,0.02680901,0.012431118,0.008783546,0.0032674773],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05508263,0.0006331058,0.0011821227,0.0015921837,0.000457324,0.002627002,0.0009389145,0.0012838244,0.0074470825],"category_scores_gemma":[0.23310894,0.00034710203,0.0022359386,0.0012571393,0.0007008941,0.0023348383,0.0019489671,0.0013310976,0.0014826737],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.104511045,0.0114773065,0.06443082,0.018365232,0.008999493,0.0008119167,0.01537411,0.011491206,0.0067524463,0.0035485395,0.04713261,0.7071053],"study_design_scores_gemma":[0.09745997,0.20683992,0.3556065,0.009609431,0.025540782,0.0021708389,0.00752395,0.052829277,0.03062092,0.018518867,0.1917894,0.0014901735],"about_ca_topic_score_codex":0.00035275944,"about_ca_topic_score_gemma":0.00060975546,"teacher_disagreement_score":0.9449174,"about_ca_system_score_codex":0.00093106896,"about_ca_system_score_gemma":0.0016774503,"threshold_uncertainty_score":0.29130828},"labels":[],"label_agreement":null},{"id":"W4417286768","doi":"10.64898/2025.12.11.693290","title":"Using GPT-4 to Automate the Generation of Lay Summaries for Cancer Publications","year":2025,"lang":"","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"University of Toronto","keywords":"Readability; Jargon; Reading (process); Sample (material); Data collection; Reading level; Comprehension","score_opus":0.0804196765853612,"score_gpt":0.30602555965615447,"score_spread":0.22560588307079327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417286768","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026464963,0.0018861654,0.5606327,0.0025211899,0.001106886,0.0040297103,0.04529101,0.35111097,0.006956516],"genre_scores_gemma":[0.06523806,0.0009941628,0.8765675,0.000518676,0.00024260409,0.003392501,0.037470337,0.01066009,0.004916005],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9931716,0.0030319553,0.0014284309,0.0011207821,0.0010902451,0.0001569774],"domain_scores_gemma":[0.9197673,0.055210616,0.0066378815,0.0055757556,0.01138561,0.0014227867],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.014434889,0.0026082438,0.0011309239,0.008566787,0.000783154,0.004539748,0.0014851268,0.0013000099,0.024696218],"category_scores_gemma":[0.10550182,0.0010467133,0.0025272775,0.0033331239,0.0005546615,0.0032936572,0.0041622776,0.0015938666,0.01432766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015740948,0.00021814942,0.010293379,0.015880266,0.0006504955,0.0017690912,0.007933342,0.0085856365,0.019688359,0.0047860695,0.21032777,0.71829337],"study_design_scores_gemma":[0.0014475388,0.0017402358,0.019323567,0.006256097,0.0014435353,0.0035226152,0.005448066,0.24179323,0.088868715,0.04600305,0.58332235,0.00083096186],"about_ca_topic_score_codex":0.0019910366,"about_ca_topic_score_gemma":0.0034657465,"teacher_disagreement_score":0.9855651,"about_ca_system_score_codex":0.0014491127,"about_ca_system_score_gemma":0.004115933,"threshold_uncertainty_score":0.082617104},"labels":[],"label_agreement":null},{"id":"W594155444","doi":"","title":"Short-term/working memory : the Second Quebec Conference on Short-Term/Working Memory","year":2005,"lang":"en","type":"book","venue":"Psychology Press eBooks","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Serial position effect; Recall; Psychology; Forgetting; Short-term memory; Audiology; Free recall; Working memory; Cognitive psychology; Neuroscience; Medicine; Cognition","score_opus":0.10002526939281316,"score_gpt":0.3200377104078026,"score_spread":0.22001244101498946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W594155444","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013732195,0.82644624,0.006259194,0.05950004,0.03037677,0.00022460805,0.0020589593,0.00030763148,0.07345326],"genre_scores_gemma":[0.027192835,0.37845927,0.0062292437,0.00969977,0.01345464,0.00032465335,0.0025272928,0.0006179574,0.5614943],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974982,0.00047445268,0.00014945059,0.0003922959,0.0010667216,0.00041875933],"domain_scores_gemma":[0.9926379,0.0007112382,0.00013440303,0.0003163975,0.0053421776,0.0008579056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0084491465,0.002593693,0.001826827,0.0048577352,0.0032068077,0.006831143,0.003508968,0.0046687555,0.07125959],"category_scores_gemma":[0.0044084447,0.0010573026,0.0011690597,0.005713162,0.0061061764,0.0054139816,0.0025101497,0.0044985507,0.019022973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017256233,0.00006134637,0.00087602966,0.00055568083,0.000029403644,0.0001294969,0.00029700875,0.00026203736,0.00066311634,0.008535807,0.7630204,0.22539711],"study_design_scores_gemma":[0.000013780904,0.00002939525,0.0023564748,0.00059247506,0.00001933901,0.00011556758,0.00022621336,0.00031520997,0.000413851,0.0028255982,0.9930583,0.000033717504],"about_ca_topic_score_codex":0.72173905,"about_ca_topic_score_gemma":0.7895773,"teacher_disagreement_score":0.72173905,"about_ca_system_score_codex":0.037979614,"about_ca_system_score_gemma":0.0336346,"threshold_uncertainty_score":0.5597993},"labels":[],"label_agreement":null},{"id":"W6893565298","doi":"10.5281/zenodo.3997149","title":"News Corpus for RUSSE'2020 task","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Task (project management); Corpus linguistics; Key (lock); Headline","score_opus":0.04795015764437081,"score_gpt":0.24353663564359906,"score_spread":0.19558647799922826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893565298","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03579672,0.0018669775,0.010503392,0.0007305237,0.0011299304,0.00057830865,0.90799266,0.007359686,0.03404172],"genre_scores_gemma":[0.016862849,0.00030543786,0.006376453,0.000087803004,0.000100275516,0.0004885128,0.9662773,0.0010903322,0.008411145],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989422,0.00028495525,0.00012902747,0.00027300636,0.0002529994,0.000117707605],"domain_scores_gemma":[0.9985587,0.000466047,0.00007247949,0.00027619928,0.00050539884,0.00012118274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010484083,0.0016778805,0.001065998,0.00374785,0.0013900693,0.0012109765,0.0009689974,0.0013505259,0.05374707],"category_scores_gemma":[0.0029457998,0.0005429348,0.0007952353,0.0026306391,0.0005186358,0.0010402134,0.0015178995,0.0012857866,0.050184604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006888115,0.00022091957,0.00092645566,0.0021756238,0.00009975437,0.00069502904,0.0005081213,0.0011130448,0.017839855,0.0027154232,0.9184785,0.054538563],"study_design_scores_gemma":[0.0004937913,0.00017516615,0.013798821,0.00026277459,0.00018990839,0.0010541982,0.0006523057,0.003750597,0.0128265275,0.001296754,0.96542424,0.00007498651],"about_ca_topic_score_codex":0.00737683,"about_ca_topic_score_gemma":0.008936232,"teacher_disagreement_score":0.05374707,"about_ca_system_score_codex":0.00072290766,"about_ca_system_score_gemma":0.0014209423,"threshold_uncertainty_score":0.17980188},"labels":[],"label_agreement":null},{"id":"W6894028799","doi":"10.5281/zenodo.8100419","title":"Evaluating the meaning of answers to reading comprehension questions: A semantics-based approach","year":2012,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Meaning (existential); Reading comprehension; Comprehension; Reading (process); Association (psychology)","score_opus":0.11670980472727234,"score_gpt":0.32767320362955654,"score_spread":0.21096339890228422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6894028799","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35673538,0.005155634,0.5944278,0.004111024,0.00034415716,0.0010801862,0.0028729958,0.0022370112,0.033035778],"genre_scores_gemma":[0.85088104,0.0006603278,0.14420532,0.00017507026,0.00014392265,0.00032719382,0.0021364507,0.0002701975,0.0012005257],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9870517,0.0070442175,0.0012964368,0.0013889429,0.0028700004,0.00034867728],"domain_scores_gemma":[0.9563534,0.031052748,0.0031067082,0.0019467378,0.0069090393,0.00063141464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010025191,0.0012505875,0.0012493713,0.00903913,0.0013018827,0.0063280314,0.0018455725,0.0026316,0.0053973594],"category_scores_gemma":[0.07027462,0.0007465559,0.0015618801,0.0032115516,0.0027670313,0.010431738,0.003912816,0.0016752685,0.0010415552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035055268,0.0009744909,0.037543394,0.0043671946,0.00085289526,0.0016065711,0.027683279,0.016356017,0.07225991,0.15896489,0.010444237,0.6654416],"study_design_scores_gemma":[0.0006797206,0.0016083425,0.05945792,0.0011174307,0.0015067525,0.0021271007,0.021321641,0.2268332,0.03664569,0.6207811,0.02755291,0.00036815065],"about_ca_topic_score_codex":0.0017263817,"about_ca_topic_score_gemma":0.0016925064,"teacher_disagreement_score":0.010025191,"about_ca_system_score_codex":0.001862353,"about_ca_system_score_gemma":0.0015536286,"threshold_uncertainty_score":0.053018868},"labels":[],"label_agreement":null},{"id":"W6901949952","doi":"10.6084/m9.figshare.13141541.v1","title":"Additional file 2 of A strategic initiative to facilitate knowledge translation research in rehabilitation","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; McMaster University; McGill University; Université Laval; Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Rehabilitation; Knowledge translation; Information system; Key (lock); Context (archaeology)","score_opus":0.5972495769037591,"score_gpt":0.37944692620657117,"score_spread":0.21780265069718796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6901949952","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012137217,0.000065496984,0.0003368184,0.00034054765,0.000043938475,0.0009184353,0.99504787,0.00022290167,0.002902687],"genre_scores_gemma":[0.009922892,0.0009974757,0.011811954,0.0023146234,0.00030455922,0.043441776,0.8882371,0.0014864542,0.041483164],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99763286,0.0007244223,0.00072880514,0.00029454648,0.00037388701,0.00024547204],"domain_scores_gemma":[0.898482,0.08545657,0.0042058383,0.002200647,0.008011446,0.0016436108],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0060901945,0.0010183787,0.0021877394,0.0069791325,0.0012664299,0.0027874215,0.0027741522,0.0021316195,0.9404307],"category_scores_gemma":[0.07584006,0.00072972407,0.0013207569,0.011549033,0.00052150455,0.003543369,0.0023606117,0.0014091555,0.20719562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005239144,0.00007791721,0.00052653416,0.017909124,0.000047486967,0.00005566336,0.00014570268,0.00015389799,0.000043641496,0.0011747528,0.9673006,0.012040671],"study_design_scores_gemma":[0.010690732,0.00034765614,0.013971975,0.02947208,0.0004512717,0.00033299765,0.0012832494,0.00088490895,0.0004521061,0.014894269,0.9270147,0.00020402091],"about_ca_topic_score_codex":0.0098324455,"about_ca_topic_score_gemma":0.019137109,"teacher_disagreement_score":0.0595693,"about_ca_system_score_codex":0.0024049378,"about_ca_system_score_gemma":0.0057175406,"threshold_uncertainty_score":0.08496839},"labels":[],"label_agreement":null},{"id":"W6925973559","doi":"10.18910/56253","title":"トロントでの転機","year":2016,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Demotion","score_opus":0.02580569893708496,"score_gpt":0.260597535282951,"score_spread":0.23479183634586603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6925973559","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043228436,0.00288503,0.02100271,0.08369219,0.01074174,0.00022855931,0.0010021827,0.0023617162,0.8348574],"genre_scores_gemma":[0.14645784,0.0015721879,0.008615997,0.021388918,0.00070996105,0.00010649399,0.00081181416,0.0008325412,0.81950426],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985897,0.00042908904,0.00004369951,0.00025847153,0.0004754935,0.00020354097],"domain_scores_gemma":[0.9978034,0.00023864802,0.00013997,0.00020301579,0.0010953568,0.00051953504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009998054,0.0006234115,0.0003035213,0.0007547792,0.006079498,0.003901049,0.0008289594,0.0014059955,0.0892561],"category_scores_gemma":[0.006473072,0.00035729032,0.00033763435,0.0004992099,0.0026492279,0.003591943,0.0025398724,0.004153472,0.061128553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020784173,0.00007651651,0.0042123715,0.00019307448,0.000023599454,0.0029585604,0.07382931,0.00016661086,0.006884178,0.06583873,0.7128663,0.1327428],"study_design_scores_gemma":[0.0000032977916,0.000019453197,0.0009180482,0.00008180726,0.0000051778634,0.0016795602,0.015435919,0.000095712734,0.0006527832,0.0034801327,0.977599,0.000029087496],"about_ca_topic_score_codex":0.012127318,"about_ca_topic_score_gemma":0.01672203,"teacher_disagreement_score":0.98787266,"about_ca_system_score_codex":0.002042238,"about_ca_system_score_gemma":0.0017472627,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W6930753170","doi":"10.5281/zenodo.15823213","title":"FIGURE 2. Lagenopolycystis peresi A–C in On the genus Lagenopolycystis Artois and Schockaert, 2000 (Platyhelminthes, Kalyptorhynchia, Polycystididae)","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stylet; Depiction; Single specimen; Line drawings; Taxonomy (biology)","score_opus":0.018804300045749067,"score_gpt":0.22302821882778176,"score_spread":0.2042239187820327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930753170","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3329856,0.007750105,0.014625488,0.0011365309,0.0028141644,0.0012236671,0.02168841,0.0033250477,0.61445093],"genre_scores_gemma":[0.78797275,0.00392082,0.026769793,0.00066521723,0.00031447536,0.0004146046,0.015514976,0.00048700275,0.16394034],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999615,0.0000025250483,0.0000022006018,0.000018054016,0.000011348322,0.0000044646695],"domain_scores_gemma":[0.999962,0.000005572272,0.0000075820267,0.0000071240815,0.000008533258,0.000009129391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000039579172,0.00047337372,0.00015477886,0.000962838,0.0007577036,0.00034547414,0.0002938308,0.00044526745,0.04610016],"category_scores_gemma":[0.00011896674,0.0002182685,0.00020725057,0.00059396256,0.00038170922,0.00038951734,0.0005046942,0.0005304739,0.009850954],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010987667,0.0001105367,0.032343093,0.0030189627,0.000101641206,0.00498085,0.0027307046,0.002686174,0.19903061,0.011031153,0.17569256,0.56717503],"study_design_scores_gemma":[0.000088526416,0.00023000756,0.19220908,0.00048590402,0.00008581192,0.0059815147,0.0012491473,0.0016832165,0.0113924015,0.0019982536,0.7845611,0.000035083016],"about_ca_topic_score_codex":0.0059670396,"about_ca_topic_score_gemma":0.016486336,"teacher_disagreement_score":0.04610016,"about_ca_system_score_codex":0.00038107132,"about_ca_system_score_gemma":0.00025836632,"threshold_uncertainty_score":0.1542204},"labels":[],"label_agreement":null},{"id":"W6931079774","doi":"10.5281/zenodo.4370543","title":"Jatropha gossypiifolia Linnaeus 1753","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Jatropha; Genus; Type (biology); Taxon; Pongamia","score_opus":0.032604208013211074,"score_gpt":0.2544820401408193,"score_spread":0.22187783212760825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931079774","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33596915,0.033634737,0.0083971005,0.0010575104,0.00085352466,0.0005234756,0.015919888,0.0029451305,0.60069954],"genre_scores_gemma":[0.8211669,0.012772485,0.012823416,0.0011654977,0.00024175794,0.00027880326,0.0149020525,0.00031788874,0.13633111],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9999269,0.000008364837,0.000006285992,0.00002525083,0.0000229934,0.0000100749],"domain_scores_gemma":[0.9999614,0.000005904811,0.000012623436,0.000003534627,0.000009292239,0.000007199013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000850489,0.0009084707,0.00032582018,0.0019538938,0.0009806845,0.00027792016,0.0003296963,0.00028833692,0.012693727],"category_scores_gemma":[0.0001054521,0.0001420166,0.00016339646,0.0011073606,0.00020095702,0.00075024174,0.00049129105,0.0003002028,0.0064523895],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003959092,0.00009681127,0.020085681,0.0013053616,0.00012514912,0.0013419865,0.0019888203,0.0008636978,0.14994903,0.0065935403,0.04303613,0.77421784],"study_design_scores_gemma":[0.000053994645,0.00017053794,0.20988894,0.00020856522,0.00008305191,0.0033104552,0.00077311636,0.0003737894,0.00468042,0.0015914588,0.7788224,0.00004333104],"about_ca_topic_score_codex":0.007484445,"about_ca_topic_score_gemma":0.025170648,"teacher_disagreement_score":0.012693727,"about_ca_system_score_codex":0.0006111352,"about_ca_system_score_gemma":0.0001707661,"threshold_uncertainty_score":0.042464793},"labels":[],"label_agreement":null},{"id":"W6932070038","doi":"10.5683/sp3/uflt9d","title":"Slow heating rates increase thermal tolerance and alter mRNA HSP expression in juvenile white sturgeon (Acipenser transmontanus)","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sturgeon; Juvenile; Hsp70; Messenger RNA; Ectotherm; Thermal; Acclimatization","score_opus":0.016596619613404286,"score_gpt":0.25986093041748515,"score_spread":0.24326431080408087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6932070038","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999292,0.00009378834,0.000116887444,0.00002246442,0.000007760861,0.000004965426,0.00014434553,0.000011294098,0.0003064749],"genre_scores_gemma":[0.99713635,0.0001055891,0.00031823266,0.00012666344,0.0000052865635,0.00004185497,0.00028037047,0.000015209985,0.0019705037],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999733,0.000002526844,0.0000022824718,0.000009355678,0.0000050308927,0.000007499727],"domain_scores_gemma":[0.99992776,0.000010577866,0.000025096531,0.0000053516774,0.000008926258,0.000022225688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056270223,0.00023180374,0.00011261468,0.00012040438,0.000084098385,0.0001577043,0.000093093455,0.00015599678,0.0019717389],"category_scores_gemma":[0.000096648575,0.00015651812,0.00019857081,0.0000663436,0.00024589454,0.00014583017,0.00019303198,0.00037259934,0.00023790641],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006862926,0.000061529754,0.005365293,0.00003808083,0.000014562092,0.000028407296,0.00005203797,0.00012016648,0.99138933,0.00002048725,0.00010201198,0.0021217715],"study_design_scores_gemma":[0.000073542935,0.003761068,0.7726988,0.00001827872,0.00008232224,0.00009658567,0.00028881888,0.0010393813,0.2206303,0.00010285964,0.0011844871,0.000023575058],"about_ca_topic_score_codex":0.0017747757,"about_ca_topic_score_gemma":0.006385885,"teacher_disagreement_score":0.0019717389,"about_ca_system_score_codex":0.00023608268,"about_ca_system_score_gemma":0.000107083644,"threshold_uncertainty_score":0.006596148},"labels":[],"label_agreement":null},{"id":"W6939099005","doi":"10.60692/m7hdm-s4m11","title":"Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications","year":2018,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Comprehension; Coherence (philosophical gambling strategy); Set (abstract data type); Reading comprehension; Interpretation (philosophy); Semantic interpretation; Natural language; Identification (biology)","score_opus":0.025367748906420757,"score_gpt":0.2651448984971112,"score_spread":0.23977714959069044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939099005","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0152910175,0.037548043,0.8472947,0.01355405,0.010387776,0.0011420998,0.001732201,0.007915838,0.06513427],"genre_scores_gemma":[0.06281461,0.025292782,0.742178,0.0034115366,0.0051783076,0.0017827955,0.010507606,0.0038971393,0.14493722],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99563843,0.0020830878,0.0004972099,0.0006936723,0.0008309802,0.0002566559],"domain_scores_gemma":[0.99167997,0.0044816295,0.0002135713,0.0016103484,0.0015067811,0.0005076606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008949019,0.0017148113,0.0015775671,0.0023717224,0.001079212,0.006709969,0.0033041618,0.0029439016,0.050378393],"category_scores_gemma":[0.011259129,0.00096568186,0.0023275518,0.001547836,0.0020213125,0.0072088703,0.0034295795,0.0041479687,0.019027708],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072002166,0.00071388483,0.0010101747,0.0012107834,0.00021833491,0.0009319617,0.0018212727,0.0025232353,0.01832838,0.02503293,0.22038125,0.7271078],"study_design_scores_gemma":[0.00013194933,0.00030262637,0.0023162984,0.00093815464,0.00017496805,0.0011178585,0.00078340503,0.02866445,0.011820431,0.041248467,0.91241187,0.000089520276],"about_ca_topic_score_codex":0.0025866171,"about_ca_topic_score_gemma":0.003228758,"teacher_disagreement_score":0.050378393,"about_ca_system_score_codex":0.0013471113,"about_ca_system_score_gemma":0.0018528883,"threshold_uncertainty_score":0.16853255},"labels":[],"label_agreement":null},{"id":"W6939365645","doi":"10.6084/m9.figshare.13141538.v1","title":"Additional file 1 of A strategic initiative to facilitate knowledge translation research in rehabilitation","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; McMaster University; McGill University; Université Laval; Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"Fonds de Recherche du Québec - Santé","keywords":"Selection (genetic algorithm); Rehabilitation; Knowledge translation; Context (archaeology)","score_opus":0.6070556953444278,"score_gpt":0.38021883051418776,"score_spread":0.22683686483024007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939365645","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015105512,0.000022690994,0.0005219827,0.00036735513,0.000043015938,0.0008096289,0.9937901,0.00027338127,0.004020854],"genre_scores_gemma":[0.010120681,0.0004152847,0.016213818,0.0022058992,0.00023940949,0.0355141,0.890806,0.0017624849,0.042722363],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99717015,0.0009681106,0.0006717979,0.0003426515,0.0005508799,0.00029644658],"domain_scores_gemma":[0.86443955,0.10756997,0.005323854,0.00418713,0.01573612,0.002743398],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0078050545,0.00086340506,0.0012715444,0.0047853626,0.0016265444,0.0027348825,0.0024867768,0.0019178924,0.93273205],"category_scores_gemma":[0.09466369,0.00072671013,0.00081165356,0.008936037,0.00046041756,0.0033431866,0.002419919,0.0014851084,0.24987179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024379269,0.000060725037,0.00050258776,0.002320689,0.000014193036,0.000027927083,0.00010958751,0.000103614955,0.000021458844,0.0008001324,0.98706555,0.00872977],"study_design_scores_gemma":[0.005422701,0.00025389958,0.014804001,0.008016415,0.00016231868,0.00022189721,0.0013276056,0.0007383683,0.00040289637,0.012998413,0.9555075,0.00014398343],"about_ca_topic_score_codex":0.010267227,"about_ca_topic_score_gemma":0.021944022,"teacher_disagreement_score":0.93273205,"about_ca_system_score_codex":0.0024235789,"about_ca_system_score_gemma":0.0063323923,"threshold_uncertainty_score":0.09594959},"labels":[],"label_agreement":null},{"id":"W6957999761","doi":"10.6084/m9.figshare.13141541","title":"Additional file 2 of A strategic initiative to facilitate knowledge translation research in rehabilitation","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; McMaster University; McGill University; Université Laval; Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Rehabilitation; Knowledge translation; Information system; Key (lock); Context (archaeology)","score_opus":0.5972495769037591,"score_gpt":0.37944692620657117,"score_spread":0.21780265069718796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957999761","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012137217,0.000065496984,0.0003368184,0.00034054765,0.000043938475,0.0009184353,0.99504787,0.00022290167,0.002902687],"genre_scores_gemma":[0.009922892,0.0009974757,0.011811954,0.0023146234,0.00030455922,0.043441776,0.8882371,0.0014864542,0.041483164],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99763286,0.0007244223,0.00072880514,0.00029454648,0.00037388701,0.00024547204],"domain_scores_gemma":[0.898482,0.08545657,0.0042058383,0.002200647,0.008011446,0.0016436108],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0060901945,0.0010183787,0.0021877394,0.0069791325,0.0012664299,0.0027874215,0.0027741522,0.0021316195,0.9404307],"category_scores_gemma":[0.07584006,0.00072972407,0.0013207569,0.011549033,0.00052150455,0.003543369,0.0023606117,0.0014091555,0.20719562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005239144,0.00007791721,0.00052653416,0.017909124,0.000047486967,0.00005566336,0.00014570268,0.00015389799,0.000043641496,0.0011747528,0.9673006,0.012040671],"study_design_scores_gemma":[0.010690732,0.00034765614,0.013971975,0.02947208,0.0004512717,0.00033299765,0.0012832494,0.00088490895,0.0004521061,0.014894269,0.9270147,0.00020402091],"about_ca_topic_score_codex":0.0098324455,"about_ca_topic_score_gemma":0.019137109,"teacher_disagreement_score":0.9404307,"about_ca_system_score_codex":0.0024049378,"about_ca_system_score_gemma":0.0057175406,"threshold_uncertainty_score":0.08496839},"labels":[],"label_agreement":null},{"id":"W6968009259","doi":"10.5281/zenodo.12169584","title":"Promoting multilingualism and bibliodiversity by enhancing discoverability","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"European Commission","keywords":"Discoverability; Multilingualism; French; First language; Publication; Historical linguistics; Diversity (politics); Spoken language; English language","score_opus":0.026638772097803923,"score_gpt":0.2531051101091931,"score_spread":0.2264663380113892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968009259","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18693715,0.011687678,0.026078131,0.13620302,0.0012570339,0.00065099035,0.00059938483,0.0021225782,0.6344641],"genre_scores_gemma":[0.92382956,0.006833594,0.018804852,0.004115093,0.0022111323,0.00040440392,0.0004635068,0.00084063935,0.042497195],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.96934164,0.013997816,0.0017017025,0.002315898,0.009667412,0.0029755414],"domain_scores_gemma":[0.8502006,0.052763876,0.019875247,0.019351773,0.022413176,0.035395347],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.040451676,0.0005788369,0.0009892838,0.015246373,0.009115317,0.034866698,0.0030420115,0.0021581908,0.030419052],"category_scores_gemma":[0.11254022,0.0006650184,0.00092710357,0.010049893,0.011296086,0.032635164,0.049952358,0.0028607436,0.0059356987],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000318717,0.00075949414,0.04377138,0.0020884976,0.00018192778,0.0009083321,0.09469906,0.0005613275,0.0029467456,0.27819335,0.034615986,0.5409552],"study_design_scores_gemma":[0.0002944455,0.00044524908,0.038418323,0.002164477,0.0002045929,0.0010150027,0.04484465,0.0009549542,0.003181706,0.19742675,0.71091163,0.00013819506],"about_ca_topic_score_codex":0.0061347103,"about_ca_topic_score_gemma":0.009727414,"teacher_disagreement_score":0.9651333,"about_ca_system_score_codex":0.009183297,"about_ca_system_score_gemma":0.02655222,"threshold_uncertainty_score":0.21393144},"labels":[],"label_agreement":null},{"id":"W6968313569","doi":"10.5281/zenodo.14301374","title":"Vers une classification automatique de didascalies en français avec des grands modèles de langue","year":2024,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Domain (mathematical analysis); Context (archaeology); Field (mathematics)","score_opus":0.04214523564787754,"score_gpt":0.26573472612946236,"score_spread":0.22358949048158483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968313569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73893905,0.0016977256,0.20863456,0.0015118321,0.00039428062,0.0003292268,0.009762146,0.014576151,0.024155108],"genre_scores_gemma":[0.8069462,0.00057460536,0.13582228,0.0003300183,0.00005081658,0.00026005943,0.026723199,0.0014305718,0.027862217],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835676,0.000458323,0.00009049124,0.00064562104,0.00028470598,0.00016409741],"domain_scores_gemma":[0.99644876,0.0015829541,0.00015496509,0.0005520916,0.0010783867,0.0001828439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019361814,0.0015057528,0.0006188803,0.001606619,0.0013788339,0.0032312586,0.00082551234,0.00092620484,0.005994963],"category_scores_gemma":[0.00597164,0.00052729115,0.0014936464,0.0015254937,0.0007864045,0.0024260322,0.001256031,0.0018903572,0.003383608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015122509,0.00039197135,0.06799867,0.0012197965,0.00082150724,0.0017195491,0.012081308,0.05828345,0.09570433,0.009787992,0.039272923,0.7112063],"study_design_scores_gemma":[0.00009049837,0.0006156301,0.09436411,0.0006144614,0.0005895398,0.0014465785,0.012138192,0.639529,0.07453753,0.007379108,0.16828257,0.00041292128],"about_ca_topic_score_codex":0.13910134,"about_ca_topic_score_gemma":0.19147652,"teacher_disagreement_score":0.13910134,"about_ca_system_score_codex":0.0022853503,"about_ca_system_score_gemma":0.0020066164,"threshold_uncertainty_score":0.2765833},"labels":[],"label_agreement":null},{"id":"W6976627463","doi":"10.60692/stpvv-m1h43","title":"A multi-criteria vertical coordination framework for a reliable aid distribution","year":2017,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Humanitarian Logistics; Humanitarian aid; Supply chain; Process (computing); Quality (philosophy); Order (exchange)","score_opus":0.05603057695129492,"score_gpt":0.2800731072372538,"score_spread":0.22404253028595889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976627463","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034969845,0.00028564196,0.98286045,0.00069371855,0.000048943228,0.0002901222,0.000084519066,0.00005558019,0.012184101],"genre_scores_gemma":[0.2410608,0.0005342948,0.75240487,0.00019393736,0.00006742036,0.0014066044,0.00015844776,0.00005487633,0.0041187056],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99181575,0.0053079585,0.00033392565,0.0006829353,0.0014451277,0.00041429728],"domain_scores_gemma":[0.9962353,0.0018920416,0.00045622778,0.00018697463,0.0009865315,0.00024283906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01140386,0.0017487819,0.0010297837,0.0027114374,0.0016963984,0.0047561475,0.0027114914,0.0018475684,0.006162993],"category_scores_gemma":[0.008183946,0.0006952649,0.0019583707,0.0024982828,0.0024241784,0.0032391036,0.003266083,0.0021596546,0.00063402037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040735882,0.00008397066,0.00063698617,0.0004553863,0.000097110125,0.0002584708,0.0005413352,0.4372914,0.0009518418,0.5250533,0.001973181,0.032616258],"study_design_scores_gemma":[0.000040094874,0.0001740498,0.0003290441,0.000363088,0.00006876208,0.00010231967,0.0006473719,0.7597201,0.000593884,0.22442733,0.01348136,0.000052646796],"about_ca_topic_score_codex":0.0065891724,"about_ca_topic_score_gemma":0.0055759526,"teacher_disagreement_score":0.01140386,"about_ca_system_score_codex":0.005360186,"about_ca_system_score_gemma":0.007961155,"threshold_uncertainty_score":0.060310066},"labels":[],"label_agreement":null},{"id":"W7015866577","doi":"","title":"University of Amsterdam at the CLEF 2022 SimpleText Track","year":2022,"lang":"en","type":"article","venue":"UvA-DARE (University of Amsterdam)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit van Amsterdam; Canadian Institute of Steel Construction","keywords":"Clef; Context (archaeology); Misinformation; Readability; Reading (process); Relevance (law); Set (abstract data type); Rewriting","score_opus":0.01408198109943822,"score_gpt":0.1891549743513123,"score_spread":0.17507299325187406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015866577","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046221,0.035240926,0.0513832,0.04952541,0.020642541,0.002800692,0.30433422,0.054927923,0.43492404],"genre_scores_gemma":[0.13241875,0.005196299,0.08460391,0.0049150884,0.0038986593,0.0020961363,0.42504272,0.012796933,0.32903144],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9917035,0.0028633736,0.00027881155,0.0016772989,0.0027536927,0.00072335446],"domain_scores_gemma":[0.98990834,0.0035543626,0.00034947766,0.0014190406,0.0025021746,0.0022665383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009299314,0.0019707284,0.0025050272,0.0026103174,0.0019140436,0.0076658498,0.0023663717,0.0036231896,0.20957303],"category_scores_gemma":[0.018130165,0.0006862964,0.0011922403,0.0024457043,0.00082365837,0.003705397,0.0022657218,0.0030816318,0.10542054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071857707,0.00022269803,0.00048846,0.0006021673,0.000065767155,0.00030929322,0.00008619846,0.0015327116,0.0029081553,0.0061531425,0.9257338,0.061179094],"study_design_scores_gemma":[0.0009442177,0.00028106818,0.0020490692,0.000146288,0.000028139199,0.00028297343,0.000103474864,0.0104411915,0.0036027797,0.0045872554,0.9774473,0.00008627692],"about_ca_topic_score_codex":0.014488648,"about_ca_topic_score_gemma":0.011738443,"teacher_disagreement_score":0.20957303,"about_ca_system_score_codex":0.0037123815,"about_ca_system_score_gemma":0.004140587,"threshold_uncertainty_score":0.70109165},"labels":[],"label_agreement":null},{"id":"W7039670831","doi":"","title":"Multi-scale analysis of the effects of forestry operations on the stream morphology and sedimentology of the CascapÃ©dia River, eastern QuÃ©bec","year":2004,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sedimentology; Tributary; Hydrology (agriculture); Sediment; STREAMS; Turbidity current; Turbidity; Drainage basin","score_opus":0.0037240571431055645,"score_gpt":0.15975937401214818,"score_spread":0.15603531686904262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7039670831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945328,0.00003711303,0.00034944806,0.00007967005,0.000005194663,0.000014491762,0.0022887255,0.00003805537,0.0026544959],"genre_scores_gemma":[0.9930929,0.000046595414,0.0006526444,0.000023929766,0.0000034209895,0.000017996337,0.0031252208,0.000023067723,0.0030142548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980885,0.000025998695,0.000007359479,0.00005967193,0.000059186954,0.00003885512],"domain_scores_gemma":[0.9987596,0.00019318298,0.00009366393,0.00010775944,0.0006477565,0.00019796685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027209937,0.00016607346,0.00019413316,0.00067972497,0.0007521871,0.0005422589,0.00038572846,0.00016463584,0.0027529686],"category_scores_gemma":[0.0011417032,0.00011360729,0.00022915947,0.0016027411,0.0003409531,0.00018181569,0.00035799184,0.00032745034,0.00030751957],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013998842,0.00008874425,0.94899404,0.000046521614,0.00016874057,0.0002059972,0.00064804195,0.0034691093,0.005925615,0.00020223935,0.0043400396,0.03577099],"study_design_scores_gemma":[0.0000015173191,0.0000036261426,0.9982657,0.0000014168634,0.000006049612,0.0000062295035,0.00013682902,0.0010164407,0.000090933936,0.000009667021,0.0004587795,0.000002771561],"about_ca_topic_score_codex":0.92207587,"about_ca_topic_score_gemma":0.9796794,"teacher_disagreement_score":0.07792413,"about_ca_system_score_codex":0.0045469794,"about_ca_system_score_gemma":0.0024044262,"threshold_uncertainty_score":0.15676606},"labels":[],"label_agreement":null},{"id":"W7066335524","doi":"","title":"Investigation of antimicrobial resistance in Salmonella, Escherichia coli and Campylobacter isolated from Ontario sheep flocks","year":2009,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flock; Tetracycline; Antibiotic resistance; Antimicrobial; Campylobacter; Feces; Enteric bacteria; Drug resistance","score_opus":0.011338420738094384,"score_gpt":0.19083491899591837,"score_spread":0.179496498257824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7066335524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99920255,0.00013785454,0.000021997843,0.000018779005,7.7365314e-7,0.0000062318304,0.00012735074,5.6021634e-7,0.00048391754],"genre_scores_gemma":[0.997414,0.0004901616,0.00014475739,0.000018349263,0.0000026230027,0.000009442283,0.00038539397,0.0000011435808,0.0015341088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977714,0.000020134097,0.000014370251,0.000036557365,0.00011061351,0.000041110743],"domain_scores_gemma":[0.9995654,0.00008623861,0.00014969832,0.000012251864,0.00012875507,0.00005755708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002322411,0.00012769256,0.00015736558,0.0007373882,0.00044900095,0.00033561751,0.0001556837,0.00014856836,0.0009672476],"category_scores_gemma":[0.0009707309,0.00010401596,0.00012599226,0.00066447613,0.00020609896,0.00009507496,0.00016085917,0.000101786856,0.00012411134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000133818,0.00004338679,0.9735701,0.000080226695,0.00001905066,0.00033937013,0.0034027873,0.000049297483,0.010203339,0.000022156382,0.00023314226,0.011903229],"study_design_scores_gemma":[7.9497994e-7,0.0000671414,0.99841976,0.000007597397,0.000005179542,0.000061645624,0.0006032362,0.000029439856,0.00034573645,0.0000023470077,0.00045618654,9.998305e-7],"about_ca_topic_score_codex":0.2664451,"about_ca_topic_score_gemma":0.4276433,"teacher_disagreement_score":0.7335549,"about_ca_system_score_codex":0.0011891372,"about_ca_system_score_gemma":0.0010844934,"threshold_uncertainty_score":0.52978843},"labels":[],"label_agreement":null},{"id":"W7072117608","doi":"","title":"Une approche computationnelle de la complexité linguistique par le traitement automatique du langage naturel et l'oculométrie","year":2021,"lang":"fr","type":"other","venue":"Open MIND","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Linguistic analysis; Acoustic phonetics; Agrégation","score_opus":0.0391672517334494,"score_gpt":0.33290613863124274,"score_spread":0.29373888689779337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7072117608","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007206619,0.0007032196,0.9818689,0.0012394815,0.00015668252,0.000120337325,0.00012120021,0.0012404358,0.007343128],"genre_scores_gemma":[0.16404216,0.0011864577,0.8224301,0.00031260203,0.00014258614,0.0002936854,0.00033752422,0.00030772446,0.010947223],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964729,0.0008822767,0.00020289519,0.0010841173,0.0011946656,0.00016311966],"domain_scores_gemma":[0.9948873,0.0021576355,0.00034808906,0.0011144386,0.0013522924,0.0001402791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027165415,0.0013505529,0.0008522487,0.0019599483,0.0013813983,0.0065643266,0.002150283,0.0019091753,0.013102415],"category_scores_gemma":[0.009958142,0.0010037902,0.002055974,0.0015763247,0.0023156384,0.0055660913,0.00232262,0.0022412776,0.0032541582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042638948,0.00012891408,0.0029932044,0.0010454512,0.00032200763,0.00030682262,0.0019306304,0.036452513,0.049596336,0.18526515,0.0059021963,0.71563035],"study_design_scores_gemma":[0.00014414545,0.00042172038,0.009680048,0.00059262855,0.00045863749,0.0012087997,0.0015141977,0.4464997,0.06093495,0.32684284,0.15135098,0.00035131906],"about_ca_topic_score_codex":0.008825304,"about_ca_topic_score_gemma":0.010599744,"teacher_disagreement_score":0.013102415,"about_ca_system_score_codex":0.0020387357,"about_ca_system_score_gemma":0.0030124106,"threshold_uncertainty_score":0.043831944},"labels":[],"label_agreement":null},{"id":"W7084071794","doi":"10.64628/aap.wy3stv9jq","title":"Un nouveau médicament prometteur pour réduire les crises d'asthme","year":2019,"lang":"fr","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Government (linguistics); Perspective (graphical); Field (mathematics); Context (archaeology)","score_opus":0.041215783914395655,"score_gpt":0.26587216740665676,"score_spread":0.2246563834922611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084071794","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2299848,0.05442958,0.22023392,0.1820626,0.023318356,0.0015608183,0.004432589,0.013684265,0.27029303],"genre_scores_gemma":[0.64465743,0.01845314,0.1491406,0.019790282,0.007410961,0.0008832601,0.002544579,0.0035348993,0.15358488],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99687386,0.0014796475,0.00032359443,0.0002831348,0.00086683553,0.0001729005],"domain_scores_gemma":[0.9878364,0.0070013152,0.0010917013,0.0012454126,0.0020631389,0.000761917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026728292,0.00083233044,0.0007679708,0.0017511044,0.0015229203,0.0030607937,0.00097621314,0.0019368072,0.031149758],"category_scores_gemma":[0.024355037,0.00026024051,0.0008010016,0.0007266364,0.0015544062,0.0022916016,0.001492342,0.002952109,0.005749737],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018026176,0.0005130534,0.0065994384,0.0019178556,0.00011499925,0.00498028,0.005125551,0.0022489987,0.020216657,0.029207949,0.15397781,0.7732948],"study_design_scores_gemma":[0.00044700678,0.0007721283,0.018198388,0.0019854042,0.00023620612,0.016030056,0.0041453764,0.005979091,0.018859386,0.032510225,0.9006664,0.00017035012],"about_ca_topic_score_codex":0.0026638084,"about_ca_topic_score_gemma":0.0026317302,"teacher_disagreement_score":0.031149758,"about_ca_system_score_codex":0.0010158569,"about_ca_system_score_gemma":0.0024708374,"threshold_uncertainty_score":0.104206264},"labels":[],"label_agreement":null},{"id":"W7099729388","doi":"","title":"Does the Length of the Period Really Matter for the Identification and the Modelling of Monetary Policy Shocks?","year":2005,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Monetary policy; Portfolio; Identification (biology); Period (music); Quarter (Canadian coin); Lag; Interest rate; Inflation (cosmology)","score_opus":0.017175890047988192,"score_gpt":0.24029052365336695,"score_spread":0.22311463360537875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099729388","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43387938,0.014447945,0.497215,0.015386718,0.0031848485,0.00019109108,0.0039491965,0.0004236898,0.03132212],"genre_scores_gemma":[0.93818367,0.0073673427,0.044511948,0.0010751394,0.0015114996,0.00023805104,0.0013710393,0.00028462548,0.005456684],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995577,0.00021005832,0.000039825227,0.00009983361,0.000042341813,0.00005030656],"domain_scores_gemma":[0.995611,0.002912976,0.0006199009,0.00058111607,0.00014720096,0.00012781945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002425175,0.00031000638,0.0005595445,0.00041983475,0.00045319434,0.00186719,0.00089817855,0.00087565626,0.010028609],"category_scores_gemma":[0.01148461,0.00025737795,0.0008796687,0.00070286973,0.0005430761,0.0035661857,0.0007266208,0.0015516763,0.0015033302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003417092,0.0004646602,0.10439331,0.003265351,0.0009791285,0.0017092515,0.0018740132,0.14100991,0.018337553,0.4036182,0.021028977,0.29990262],"study_design_scores_gemma":[0.00035328825,0.00077064126,0.10564176,0.0013383586,0.0008102539,0.0010744572,0.0017244335,0.2606297,0.0074013104,0.5381892,0.081819035,0.0002475745],"about_ca_topic_score_codex":0.0010695787,"about_ca_topic_score_gemma":0.0008861505,"teacher_disagreement_score":0.010028609,"about_ca_system_score_codex":0.00037978528,"about_ca_system_score_gemma":0.00062971865,"threshold_uncertainty_score":0.03354901},"labels":[],"label_agreement":null},{"id":"W7104265732","doi":"10.71781/5344","title":"Une approche computationnelle de la complexité linguistique par le traitement automatique du langage naturel et l'oculométrie","year":2021,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Linguistic analysis; Acoustic phonetics; Agrégation","score_opus":0.00803999034162245,"score_gpt":0.21225247885793666,"score_spread":0.2042124885163142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104265732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007206619,0.0007032196,0.9818689,0.0012394815,0.00015668252,0.000120337325,0.00012120021,0.0012404358,0.007343128],"genre_scores_gemma":[0.16404216,0.0011864577,0.8224301,0.00031260203,0.00014258614,0.0002936854,0.00033752422,0.00030772446,0.010947223],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964729,0.0008822767,0.00020289519,0.0010841173,0.0011946656,0.00016311966],"domain_scores_gemma":[0.9948873,0.0021576355,0.00034808906,0.0011144386,0.0013522924,0.0001402791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027165415,0.0013505529,0.0008522487,0.0019599483,0.0013813983,0.0065643266,0.002150283,0.0019091753,0.013102415],"category_scores_gemma":[0.009958142,0.0010037902,0.002055974,0.0015763247,0.0023156384,0.0055660913,0.00232262,0.0022412776,0.0032541582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042638948,0.00012891408,0.0029932044,0.0010454512,0.00032200763,0.00030682262,0.0019306304,0.036452513,0.049596336,0.18526515,0.0059021963,0.71563035],"study_design_scores_gemma":[0.00014414545,0.00042172038,0.009680048,0.00059262855,0.00045863749,0.0012087997,0.0015141977,0.4464997,0.06093495,0.32684284,0.15135098,0.00035131906],"about_ca_topic_score_codex":0.008825304,"about_ca_topic_score_gemma":0.010599744,"teacher_disagreement_score":0.013102415,"about_ca_system_score_codex":0.0020387357,"about_ca_system_score_gemma":0.0030124106,"threshold_uncertainty_score":0.043831944},"labels":[],"label_agreement":null},{"id":"W7117310638","doi":"10.2139/ssrn.5970054","title":"Estimating Consumer Preferences for LLMs: Evidence from LMArena","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Counterfactual thinking; Context (archaeology); Quality (philosophy); Consumer welfare; Economic surplus; Consumer choice; Taste; Product (mathematics); Pairwise comparison","score_opus":0.04872354047087291,"score_gpt":0.31802766975288277,"score_spread":0.26930412928200986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117310638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98129845,0.00050367176,0.00423782,0.0005151525,0.0000137025945,0.00007254531,0.0017714914,0.00016204768,0.011425202],"genre_scores_gemma":[0.9885352,0.00019687152,0.0035782023,0.0001715041,0.000013877286,0.000055490826,0.002751744,0.00007138059,0.0046256585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970034,0.001994926,0.00009948016,0.00030396107,0.0004732311,0.00012500749],"domain_scores_gemma":[0.9300011,0.059796743,0.0029275138,0.004625239,0.0020849982,0.0005643533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059400727,0.0004794933,0.0006881308,0.0010876288,0.00066884095,0.0016208297,0.0012724125,0.0010959279,0.021378528],"category_scores_gemma":[0.03286634,0.00036775798,0.0010201994,0.0017339744,0.0006182053,0.002208312,0.000977729,0.0011776699,0.0035687315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.023540335,0.004614191,0.6142395,0.0013563427,0.0016775196,0.00048744614,0.0042464323,0.03213683,0.0059163966,0.013569148,0.021775963,0.27644],"study_design_scores_gemma":[0.0012518363,0.002683904,0.8382248,0.00030102965,0.0012386345,0.00018386303,0.0066749286,0.09779128,0.008494916,0.016114231,0.026818253,0.00022225459],"about_ca_topic_score_codex":0.033547644,"about_ca_topic_score_gemma":0.02639672,"teacher_disagreement_score":0.033547644,"about_ca_system_score_codex":0.0013134317,"about_ca_system_score_gemma":0.00046729352,"threshold_uncertainty_score":0.07151824},"labels":[],"label_agreement":null},{"id":"W7125886133","doi":"","title":"The Tree, an Adequate Visualization Tool to Grasp the Complexity of Multiplicity ","year":2021,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"GRASP; Visualization; Data visualization; Multiplicity (mathematics); Information visualization","score_opus":0.033897991825435625,"score_gpt":0.2652707685079859,"score_spread":0.2313727766825503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125886133","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064721773,0.0009666244,0.95439106,0.0015712423,0.00036595625,0.000114351846,0.003583939,0.022332318,0.01020228],"genre_scores_gemma":[0.112026684,0.0021109919,0.8525228,0.000536593,0.00029597981,0.00035434787,0.004776339,0.012592261,0.014783975],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992561,0.00022513489,0.000080270256,0.00011152757,0.00026775873,0.00005912349],"domain_scores_gemma":[0.99674964,0.0017868987,0.00017062775,0.00050277717,0.00057138666,0.00021862869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013983499,0.0013821779,0.00088973576,0.0034800856,0.0012830409,0.0064827665,0.001351465,0.0014347689,0.031397596],"category_scores_gemma":[0.008791861,0.00061689044,0.00091377273,0.0029984799,0.0008959011,0.007965009,0.003124832,0.0023325745,0.004898669],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007840417,0.00012472882,0.0025799116,0.0022573383,0.00013410629,0.0011571391,0.010180488,0.009489175,0.028157592,0.24324706,0.21861193,0.48327655],"study_design_scores_gemma":[0.00016457624,0.00011004885,0.0017890404,0.0007599405,0.00012214591,0.001311235,0.0018753578,0.09646362,0.011732198,0.30348974,0.58201444,0.00016759623],"about_ca_topic_score_codex":0.002696965,"about_ca_topic_score_gemma":0.0037165794,"teacher_disagreement_score":0.031397596,"about_ca_system_score_codex":0.0004455343,"about_ca_system_score_gemma":0.0013571983,"threshold_uncertainty_score":0.105035484},"labels":[],"label_agreement":null},{"id":"W7130716444","doi":"10.1109/swc65939.2025.00064","title":"Linguistic Analysis of Japanese Text Simplification and Implications for AI-Driven Educational Tools","year":2025,"lang":"","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Determiner; Dependency (UML); Noun; Linguistic analysis; Noun phrase; Cognition; Error analysis","score_opus":0.03261379606745928,"score_gpt":0.34006497113829753,"score_spread":0.30745117507083825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7130716444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9692295,0.00055380474,0.022476336,0.0004915238,0.00002419328,0.00007087308,0.00045594727,0.00018909386,0.0065088207],"genre_scores_gemma":[0.9802561,0.0003632723,0.017446103,0.000040824074,0.000029360232,0.00006406043,0.0006216323,0.00008839471,0.001090238],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.999044,0.00032937946,0.00011062288,0.0002024771,0.00026388955,0.000049553888],"domain_scores_gemma":[0.99052423,0.0042521297,0.0017958932,0.0011014475,0.0020773862,0.00024891822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011996152,0.00031068633,0.00029824578,0.0027050108,0.0011602228,0.0013504911,0.000389704,0.00019445775,0.0022785044],"category_scores_gemma":[0.010859275,0.00021211377,0.00022056852,0.003523608,0.0018389917,0.0020683291,0.00084553816,0.00042553863,0.00024680165],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010227314,0.00024626282,0.13993043,0.0019237769,0.00014568247,0.003819009,0.14302711,0.008225471,0.27339414,0.026885541,0.0038354606,0.3975444],"study_design_scores_gemma":[0.00004788463,0.00031448086,0.7651651,0.00021269973,0.00025534435,0.0021517053,0.047083903,0.039758734,0.07263254,0.018967558,0.05322722,0.00018286756],"about_ca_topic_score_codex":0.009961763,"about_ca_topic_score_gemma":0.012435081,"teacher_disagreement_score":0.009961763,"about_ca_system_score_codex":0.0009038903,"about_ca_system_score_gemma":0.0008872857,"threshold_uncertainty_score":0.019807518},"labels":[],"label_agreement":null},{"id":"W7132634471","doi":"","title":"Citation amnesia: on the recency bias of NLP and other academic fields","year":2025,"lang":"en","type":"article","venue":"NPARC","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Citation; Context (archaeology); Field (mathematics); Citation analysis; Bibliometrics; Work (physics)","score_opus":0.05912769644485198,"score_gpt":0.2941826836974612,"score_spread":0.2350549872526092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132634471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93073857,0.02228253,0.0057453504,0.01077202,0.00057416694,0.00008289566,0.008127162,0.0003839093,0.021293389],"genre_scores_gemma":[0.9908648,0.001966536,0.0007827269,0.0005912321,0.0007912125,0.000036946964,0.0026094432,0.000092209564,0.0022649094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98803943,0.002152307,0.0026600263,0.002885134,0.003585102,0.0006780363],"domain_scores_gemma":[0.6482147,0.14396335,0.15298438,0.02717803,0.021166097,0.006493524],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.020134253,0.00031334386,0.0009041766,0.020046117,0.0014154905,0.0038878766,0.0013960679,0.000997523,0.007996993],"category_scores_gemma":[0.15398775,0.00023319833,0.0009314167,0.03071023,0.003044633,0.0062582907,0.0033706084,0.0015652038,0.0020771567],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027240594,0.000046651716,0.94197565,0.00051989953,0.0003606145,0.00032209093,0.0047740685,0.0003692505,0.00067021407,0.0033733856,0.0044705933,0.042845048],"study_design_scores_gemma":[0.00001462333,0.00007996592,0.97941554,0.00021726212,0.00016361079,0.00046715222,0.0015901491,0.0006290568,0.00073711236,0.0036186087,0.013037599,0.000029350056],"about_ca_topic_score_codex":0.009662128,"about_ca_topic_score_gemma":0.008909716,"teacher_disagreement_score":0.9799539,"about_ca_system_score_codex":0.0012483936,"about_ca_system_score_gemma":0.001433281,"threshold_uncertainty_score":0.10648137},"labels":[],"label_agreement":null},{"id":"W7135995046","doi":"","title":"Overview of the CLEF 2024 SimpleText Task 3: Simplify Scientific Text","year":2024,"lang":"en","type":"article","venue":"UvA-DARE (University of Amsterdam)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit van Amsterdam; Agence Nationale de la Recherche; Canadian Institute of Steel Construction","keywords":"Clef; Task (project management); Complement (music); Distortion (music); Text simplification; Information source (mathematics)","score_opus":0.030748763760591456,"score_gpt":0.24201022877701445,"score_spread":0.21126146501642298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135995046","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.093993016,0.02561155,0.4191505,0.016182745,0.0057601375,0.021251773,0.20955162,0.10278021,0.105718516],"genre_scores_gemma":[0.09636247,0.0025778208,0.40557024,0.0041872677,0.0016481626,0.014256547,0.4384714,0.009387948,0.027538117],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98377854,0.007411724,0.0015772445,0.0022007478,0.0043346873,0.0006970274],"domain_scores_gemma":[0.97376287,0.01228788,0.0013451779,0.0032980286,0.00751363,0.0017924369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013011131,0.0036918723,0.0021257792,0.0048476495,0.002511406,0.0033525962,0.0031785967,0.0029611122,0.038045805],"category_scores_gemma":[0.042837676,0.0009309656,0.0021826127,0.0030432614,0.0014386483,0.0027673484,0.0046018334,0.0037996501,0.02495329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008347352,0.000522346,0.0019440787,0.005835502,0.00032519954,0.00063937256,0.0007723684,0.0069921897,0.029465785,0.002699018,0.7013612,0.24860816],"study_design_scores_gemma":[0.0017578511,0.0011994725,0.01508391,0.0010352457,0.0002818689,0.0027191113,0.0008913658,0.04793879,0.040488318,0.01169177,0.87637454,0.00053775567],"about_ca_topic_score_codex":0.006636776,"about_ca_topic_score_gemma":0.009046989,"teacher_disagreement_score":0.038045805,"about_ca_system_score_codex":0.0023968369,"about_ca_system_score_gemma":0.005636617,"threshold_uncertainty_score":0.12727588},"labels":[],"label_agreement":null},{"id":"W7138308848","doi":"10.18653/v1/2025.sciprodllm-1.2","title":"Human-Centered Disability Bias Detection in Large Language Models","year":2025,"lang":"","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Language model; Noise (video); Feature (linguistics); Data collection; Natural language","score_opus":0.05454424794295367,"score_gpt":0.3174023805049431,"score_spread":0.2628581325619895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7138308848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5503397,0.0005273829,0.43864048,0.001254971,0.000097004115,0.0005202174,0.001099393,0.0012564278,0.0062644514],"genre_scores_gemma":[0.93844134,0.000076089455,0.05969016,0.00023097904,0.0000266626,0.00028611,0.00057918415,0.0001363472,0.000533225],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.97756654,0.015401573,0.0011963563,0.0025845042,0.0028004502,0.0004505588],"domain_scores_gemma":[0.8417817,0.12906028,0.010341419,0.01236585,0.00544556,0.0010052074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025470471,0.0006349149,0.0005380025,0.0013578637,0.0008997073,0.0032345592,0.0010772819,0.0011060502,0.0024794233],"category_scores_gemma":[0.1752128,0.0004376716,0.0006653938,0.0007633196,0.002135849,0.0038261663,0.0048678955,0.0012264409,0.0007122203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033006668,0.0004977014,0.29553363,0.0019757182,0.0006823368,0.00180473,0.03915546,0.041782845,0.06028468,0.08167592,0.008036236,0.4652701],"study_design_scores_gemma":[0.00021894576,0.0012870537,0.13737912,0.00088725105,0.00037570167,0.0030889127,0.01202797,0.47769946,0.06533598,0.27093273,0.030384641,0.0003822373],"about_ca_topic_score_codex":0.002287998,"about_ca_topic_score_gemma":0.0029809945,"teacher_disagreement_score":0.025470471,"about_ca_system_score_codex":0.0008984738,"about_ca_system_score_gemma":0.00178537,"threshold_uncertainty_score":0.13470232},"labels":[],"label_agreement":null},{"id":"W7143477898","doi":"10.1109/icecit67774.2025.11451012","title":"CoNST: Context-Aware Neural Method for Word Replacement and Sentence Simplification to Improve Text Accessibility","year":2025,"lang":"","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Sentence; Word (group theory); Text simplification; Feature (linguistics); Artificial neural network","score_opus":0.03129774292692168,"score_gpt":0.3509232729462942,"score_spread":0.31962553001937255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7143477898","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08590642,0.00081859785,0.8993898,0.00021088996,0.0002148815,0.00020051154,0.00033276132,0.009795162,0.0031308325],"genre_scores_gemma":[0.55791247,0.00033080773,0.43122843,0.00031892787,0.0000992959,0.00024900975,0.0012423636,0.00060090073,0.008017831],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996569,0.00007615163,0.00003187091,0.000109452296,0.00009295972,0.000032732107],"domain_scores_gemma":[0.99941456,0.00020116902,0.000057926456,0.00008990934,0.00020760749,0.00002880988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000468458,0.00096455676,0.0005899882,0.00066444447,0.00028470624,0.00042428155,0.0010488484,0.0005742235,0.0044253664],"category_scores_gemma":[0.002292907,0.00023902116,0.00057274284,0.00040589154,0.00025642832,0.0013176667,0.0006976527,0.000799044,0.0010220396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037918778,0.00018693249,0.0011028835,0.00022240423,0.0000890039,0.00029265558,0.00020087967,0.035508696,0.064337306,0.002263492,0.0061273696,0.8892892],"study_design_scores_gemma":[0.000053559612,0.00028810604,0.0013144702,0.000021100519,0.0000825199,0.00023607687,0.000066735774,0.94768584,0.04325742,0.002959698,0.0040076827,0.000026791287],"about_ca_topic_score_codex":0.003452775,"about_ca_topic_score_gemma":0.0072952732,"teacher_disagreement_score":0.0044253664,"about_ca_system_score_codex":0.00034714767,"about_ca_system_score_gemma":0.0007407495,"threshold_uncertainty_score":0.014804363},"labels":[],"label_agreement":null},{"id":"W7152387304","doi":"10.1109/icecet63943.2025.11472110","title":"Developing a Grammatical Error Correction System for French Second Language Written Texts","year":2025,"lang":"","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Error detection and correction; Error analysis; Second language; Natural language; French","score_opus":0.023371038735135238,"score_gpt":0.2918910967705224,"score_spread":0.26852005803538714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7152387304","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07683212,0.00063631585,0.6786658,0.00066767226,0.0004720259,0.0007638755,0.002487358,0.23393941,0.00553534],"genre_scores_gemma":[0.26820526,0.00037999058,0.6973754,0.00036855845,0.00019314664,0.0003489709,0.008397908,0.0090528475,0.015677908],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99797505,0.00039255907,0.00020397728,0.00080447976,0.00043470025,0.00018917765],"domain_scores_gemma":[0.99144566,0.0031383168,0.00045005593,0.00090347714,0.0038464007,0.00021615566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016250568,0.0020109736,0.0018925528,0.0030228444,0.0015298183,0.0029507787,0.0018776316,0.0016956757,0.012718287],"category_scores_gemma":[0.008229141,0.0009115548,0.001213903,0.0014810447,0.0005313202,0.0024168533,0.0017419254,0.0015764094,0.0072352495],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057981984,0.00026916646,0.005476473,0.0008430256,0.00019543768,0.001413795,0.0017614271,0.005539387,0.09265683,0.003507253,0.049582087,0.83817536],"study_design_scores_gemma":[0.00040937215,0.00095623825,0.013018127,0.00030153705,0.000800939,0.0031763318,0.0024354453,0.40239543,0.4354776,0.006110611,0.13451019,0.0004082174],"about_ca_topic_score_codex":0.017178932,"about_ca_topic_score_gemma":0.01165685,"teacher_disagreement_score":0.017178932,"about_ca_system_score_codex":0.0012633409,"about_ca_system_score_gemma":0.0024022907,"threshold_uncertainty_score":0.042546928},"labels":[],"label_agreement":null}]}